timemachine

Created: 2012-08-21 07:57
Updated: 2017-06-15 14:28
License: mit

README.md

TimeMachine

Extract directories and files from an Apple TimeMachine external drive.

Ever moved from a Mac to a Linux machine and have to get some old content out of your Apple TimeMachine?

This script allows you to copy a specific file or a directory and it's contents from the TimeMachine to a destination on your local machine.

NOTES:

  • I don't know how well it works on a Windows machine as I developed it in Ubuntu, it has also come in handy when I'm pulling files after moving to a new mac.
  • On occasion, you may get a permission denied error. When that happens you should run this with root access (sudo) as you will need it to access the protected files.
  • This only copies Files and Directories. It does not follow links.

Usage:

  • Plug in your external HD
  • Launch a terminal
  • python timemachine/init.py --help

timemachine --mount_path PATH [--host HOST] [--version VERSION] [--partition PARTITION] [--path PATH] [--dst_path PATH]

REQUIRED: --mount_path PATH Location where the timemachine HD is mounted. Usually something like "/Volumes/EXTERNAL_HARDDRIVE".

OPTIONAL: --path PATH Source path (Directory or File) as it would have appeared on your old computer. E.g. /Users/USERNAME/Desktop/work.odt If a --dst_path is provided with this path, then we'll copy this source to the destination. If no --dst_path is provided then we'll enter interactive mode and you'll be prompted for commands. --host HOST Name of the host who's timemachine we want to access. Defaults to one with the most recent version. --version VERSION The name of the timemachine versions we want to access. Defaults to "Latest". --partition PARTITION The name of the partition in the timemachine we want to access. Usually "Macintosh HD" --dst_path PATH If provided we just copy path to dst_path, no interactive folder walking.

ToDo:

  • Copy/Follow symlinks.

Issues and suggestions:

Fire on any issues or suggestions you have.

Copyright and license

Copyright 2017 David Higgins

MIT License

Cookies help us deliver our services. By using our services, you agree to our use of cookies Learn more