MetaPlaig

MetaPlaig is a Python application designed to extract files from various archive formats, analyze their metadata, and calculate hash values. It provides a graphical interface to browse and process files, displaying extracted metadata such as author information and hash values in a tree view.

Features

• Archive Extraction: Supports .zip, .tar, .tar.gz, .tar.bz2, .rar, and .7z formats.
• Metadata Extraction: Retrieves author information from .docx and .pdf files.
• Hash Calculation: Computes file hashes using the SHA-256 algorithm (default).
• Duplicate Highlighting: Highlights duplicate authors in the tree view.
• Graphical User Interface: Intuitive interface built with Tkinter.

Requirements

To run MetaPlaig, ensure the following Python libraries are installed:

tkinter==builtin
ttk==builtin
zipfile==builtin
tarfile==builtin
os==builtin
hashlib==builtin
rarfile==4.0
py7zr==0.20.4
docx==0.2.4
python-docx==0.8.11
PyPDF2==3.0.1

Installation

1. Clone the repository or copy the script to your local machine.
2. Install the required dependencies using pip:

   pip install rarfile py7zr python-docx PyPDF2

Usage

1. Run the script:

   python metaplaig.py

2. In the GUI:
   • Click Browse and Extract Files.
   • Select a folder containing archive files.
   • Choose an extraction folder.
3. The application will extract files, process .docx and .pdf files for author metadata, calculate file hashes, and display the information in the tree view.

Tree View Columns

• Serial: Index of the file in the processed list.
• File Name: Name of the processed file.
• Author: Extracted author metadata ("Unknown" if unavailable).
• Hash: SHA-256 hash of the file.

Duplicate Detection

Authors with more than one file in the folder will be highlighted in red in the tree view.

Known Issues

• Limited error handling for corrupted or unsupported files.
• Author extraction depends on metadata availability.

License

MetaPlaig is released under the MIT License.

Contributions

Feel free to fork the repository and submit pull requests for enhancements or bug fixes.

Acknowledgements

This application leverages the following Python libraries:

• Tkinter for the GUI
• zipfile, tarfile, rarfile, and py7zr for archive extraction
• python-docx and PyPDF2 for metadata processing
• hashlib for hash calculation