This program uses Docker and Python to easily grade many assignments in an encapsulated, safe manner. The general process starts by creating an image for a class or an assignment. That image can be given a payload, a protected grading script, which has a grading hooks. The grade module, when ran, creates an individual container for each student's assignment and runs a payload hook. The payload then returns a JSON response with stdin, stdout, and additional response information depending on the image ran.
Getting Started
See the tutorial for an idea of how to get started using grader.
Setup
This project is setup using buildout. It's super easy to get grader up and running:
You'll probably need the following libraries...
- build-essential
- libncurses-dev
- python3-dev
And, of course, you'll want Docker if you plan to do anything interesting at all. Grader requires docker with API version >= 1.20. We use put_archive (PUT /containers/(id)/archive) from docker-py.
# Bootstrap buildout
python3 bin/bootstrap-buildout.py
# Setup your development environment with buildout
bin/buildout
Now you're done! When it sets up your environment, buildout creates a couple of executables and places them in bin/ for you. They are:
- buildout : That's buildout. Run it whenever you add eggs to
grader/setup.pyor modifybuildout.cfg - grader : That's
grader! - python : "What? Another Python!?" Yeah... This is an ipython interpreter. It's handy because it has access to all the same packages that were installed for
grader.
Check your style
It's important to keep our code looking consistent. There's a tool installed by buildout called flake8 that will check your Python source for issues in style. Simply run it like this:
# Make sure you run this in your grader directory. flake8 will recursively check source files for style issues.
bin/flake8 grader/
Metadata
Release files for redkyn-grader 0.1.1
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Release files / redkyn-grader-0.1.1.tar.gz
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