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README.md

Script Runner

Overview

The Script Runner project consists of multiple scripts designed to work together for monitoring directories, processing files, and automating tasks. The key scripts include _scriptrunner.py, mover.py, WatchCharm.py, and autopy.py.

Features

_scriptrunner.py

  • Script Runner: Runs multiple Python scripts concurrently.
  • Process Management: Starts all specified scripts and waits for them to complete.

mover.py

  • File Monitoring: Monitors a specified source directory for new .txt files.
  • File Moving: Moves new .txt files to a specified destination directory.

WatchCharm.py

  • File Monitoring: Monitors a specified directory for new files.
  • File Processing:
    • Extracts file extensions from the first line of .txt files.
    • Moves files to appropriate directories based on extracted extensions.
    • Handles files without valid extensions and moves them to a 'processed' directory.

autopy.py

  • File Monitoring: Monitors a specified directory for new .py files.
  • Script Execution: Automatically runs new Python scripts upon detection.
  • Real-Time Logging: Captures console output in real-time and saves it to a log file.
  • Desktop Image Capture: Takes a screenshot of the desktop after running the script.

Usage

  1. Set Up Environment:

    • Ensure all required dependencies are installed.
    • Modify paths in the scripts to suit your directory structure.

  2. Run _scriptrunner.py:

    python _scriptrunner.py

  3. Monitor Directories:

    • The scripts will automatically monitor and process files in the specified directories.

Future Expansion Plans

  1. Enhanced Error Handling: Improve error messages and provide options for recovery.
  2. Customizable Configurations: Allow users to configure directories, file types, and other settings.
  3. Additional File Types: Extend support for more file types and processing rules.
  4. Advanced Logging: Implement more sophisticated logging mechanisms.
  5. Performance Optimization: Optimize the scripts for faster and more efficient file processing.

Contributing

Contributions are welcome! Please submit a pull request or open an issue to discuss your ideas.

License

This project is licensed under the MIT License.