py_gma_reader is a Python library for reading and extracting Garry's Mod Addon (GMA) files. It provides an easy-to-use interface to access metadata and extract the contents of GMA files.

• Read metadata from GMA files, including:
  • Addon name
  • Author
  • Description
  • Addon type
  • Tags
  • Version
  • File list
• Extract the contents of a GMA file to a specified directory
• Concurrent file extraction for improved performance

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Here's a simple example of how to use py_gma_reader:

from py_gma_reader import AddonReader

file_path = "path/to/addon.gma"
with open(file_path, "rb") as file:
    reader = AddonReader(file)
    addon = reader.parse_addon()
    
    print(addon)  # Print addon metadata
    
    extraction_path = "path/to/extraction/directory"
    addon.extract_files(extraction_path)  # Extract addon files

The AddonReader class is the main entry point for reading GMA files. It takes a file-like object as input and provides methods to parse the addon metadata and extract the files.

• parse_addon(): Parses the GMA file and returns a GModAddon object containing the addon metadata and file list.

The GModAddon class represents a Garry's Mod addon and provides access to its metadata and file list.

• name: The name of the addon.
• author: The author of the addon.
• description: The description of the addon.
• addon_type: The type of the addon (e.g., gamemode, map, weapon).
• tags: A list of tags associated with the addon.
• version: The version of the addon.
• files: A list of AddonFile objects representing the files in the addon.

• extract_files(destination): Extracts the files of the addon to the specified destination directory.

The AddonFile class represents a file within a Garry's Mod addon.

• file_id: The unique identifier of the file.
• name: The name of the file.
• size: The size of the file in bytes.
• crc: The CRC checksum of the file.
• offset: The offset of the file within the GMA file.

This project is licensed under the MIT License.

Contributions are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request.