Manual Docker Configuration
To use the "Manual Docker Configuration" option, you'll need to use
gradescope/auto-builds as the base image for your docker image.
You can also use the tags
centos, or older versions of
Ubuntu - see the complete list on DockerHub.
You'll need to ensure that your image contains the
run_autograder script at
/autograder/run_autograder. This should match the requirements
described on the specifications page. In particular, at the end of the
script, the results should be in
/autograder/results/results.json with the
Any setup can be done in the Dockerfile, so there is no need for a
Beyond this, there are no other requirements on the structure of your Docker image, so you can organize it as you wish.
Private Docker Hub Repositories
If your Docker Hub repository is private, you'll need to give the user
gradescopeecs access to your repository. You may want to do this to
make sure that students cannot download your autograder image.
Running autograder images locally
To run your autograder image locally, you will currently need to bypass our
autograder harness because otherwise it will try to communicate with Gradescope
by default. You can do this by mounting a sample submission into the
/autograder/submission directory and then running
directly. Here's an example command; replace the path to the submission and
Docker image name with the appropriate values.
docker run --rm -v /path/to/submission:/autograder/submission username/image_name:tag bash -c "mkdir /autograder/results && /autograder/run_autograder && cat /autograder/results/results.json"
or to start an interactive session:
docker run --rm -it -v /path/to/submission:/autograder/submission username/image_name:tag bash
--rmis added to clean up the container after it exits. You can remove it if you want to inspect container logs or state afterwards.
/autograder/resultsdirectory is ordinarily created by the harness, so that's why you need to mkdir it. When running an interactive bash session you will need to create it too.
- In the first example, we're using
bash -c "..."to run multiple commands in one Docker command and then show the results.