d2lmf 1.0.0

Creator: coderz1093

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Description:

d2lmf 1.0.0

Motivation
It’s frustrating dealing with the zip files full of assignment
submissions that you get from D2L.

Merging all of a student’s submissions into a single folder is
tedious.
Navigating submissions on the command line sucks, because each
directory name starts with a long number.
Extracting all the zip files, tar archives, and 7z archives that
students submit adds a needless extra step to marking.

I’ve found this tool useful for eliminating those annoyances, and I hope
you will too.


How to Use
This is the most common command I use:
d2lmf extract -R "Assignment 1 Download Oct 11, 2015 803 PM.zip" A1/T01
It extracts the submissions from the zip folder into the directory
A1/T01. The -R option makes it run all the recommended cleanup
actions on the submissions, and is equivalent to using -x, -j,
-c and -m.
The -x specifies that we want to extract any zip, rar, tar, or 7z
archives that students submitted. The -j deletes ‘junk’ like
.DS_Store. The -c collapses needlessly nested directories.
Finally, the -m merges all submitted files into a single directory
for each student.
On Windows, you may need to invoke d2lmf as a Python module, like so:
python -m d2lmf extract -R "Assignment 1 Download Oct 11, 2015 803 PM.zip" A1/T01


How to Install

Ubuntu
sudo apt-get install python-pip
sudo pip install d2lmf


OSX
curl https://bootstrap.pypa.io/get-pip.py > get-pip.py
sudo python get-pip.py
sudo pip install d2lmf


Windows
First, download and install Python from
https://www.python.org/downloads/
Then, install d2lmf with the command below:
python -m pip install d2lmf



Dependencies
The extraction of rar and 7z archives depends on external tools. If you
do not have a rar or 7z utility installed, those archives will be
skipped.
On Windows, I suggest installing 7-Zip. On
Ubuntu, p7zip is the equivalent, and it can be installed with
sudo apt-get install p7zip-full. p7zip is also available for OSX,
and can be installed from homebrew with
brew install p7zip.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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