FAQ and hints
Request a course when you are sure you will use it. You can use the general use containers for writing notebooks before that point.
The course directory is stored according to the Science-IT data policy. In short, all data is stored in group directories (for these purposes, the course is a group). The instructor in change is the owner of the group: this does not mean they own all files, but are responsible for granting access and answering questions about what to do with the data in the long term. There can be a deputy who can also grant access.
To add more instructors/TAs, go to domesti.cs.aalto.fi and you can do it yourself. You must be connected to an Aalto network. See the Aalto VPN guide for help with connecting to an Aalto network from outside.
Store your course data in a git repository (or some other version control system) and push it to version.aalto.fi or some such system.
gitand relevant tools are all installed in the images.
You know that you are linked as an instructor to a course if, when you spawn that course’s environment, you get the
You can now make a direct link that will spawn a notebook server, for example for a course with a slug of
`https://jupyter.cs.aalto.fi/hub/spawn?profile=testcourse. If the user is already running a server, it will not switch to the new course. Expect some subtle confusion with this and plan for it.
We have a test course which you can use as a sandbox for testing nbgrader and courses. No data here is private even after deleted, and data is not guaranteed to be persistent. Use only for testing. Use the general use notebook for writing and sharing your files (using git).
The course environments are not captive: students can install whatever they want. Even if we try to stop them, they can use the general use images (which may get more software at any time) or download and re-upload the notebook files. Either way, autograding is done in the instructors environment, so if you want to limit the software that students can use, this must be done at the autograding stage or via other hacks.
1) If you want to check that students have not used some particular Python modules, have an hidden test that they haven’t used the module, like:
'tensorflow' not in sys.modules.
2) autograde in an environment which does not have these extra packages. Really, #2 is the only true solution. See the information under https://github.com/AaltoSciComp/isolate-namespace for information on doing this.
In all cases, it is good practice to pre-import all modules the students are expected to be able to use and tell students that other modules should not be imported.
Students should use you, not us, as the first point of contact for problems in the system. Please announce this to students. Forward relevant problems to us.
You can access your course data via SMB mounting at the URLs
smb://jhnas.org.aalto.fi/course/$courseslug/files/and the course data using
smb://jhnas.org.aalto.fi/course/$courseslug/data/(with Windows, use
/and don’t include
smb://). This can be very nice for managing files. This may mess up group-writeability permissions. It will take up to half a day to be able to access the course files after your request your course.
You are the data controller of any assignments which students submit. We do not access these assignments on your behalf, and a submission of an assignment is an agreement between you and the student.
You should always do random checks of a fair fraction of notebooks, to avoid unexpected problems.
You can tell what image you have using
A notebook can tell if it is in the hub environment if the
AALTO_JUPYTERHUBenvironment variable is set.
A notebook can tell if it is being autograded by checking if
You can install an identical version of nbgrader as we have using:
pip install git+https://github.com/AaltoSciComp/nbgrader@live
This may be useful if you get metadata mismatch errors between your system and ours. There used to be more differences, these days the differences are minimal because most of our important changes have been accepted upstream.
You can get an
environment.ymlfile of currently installed packages using:
conda env export -n base --no-builds
But note this is everything installed: you should remove everything from this file except what your assignments actually depend on, since being less strict will increase the chances that it’s reproduceable.
nbgradershould be removed (it pins to an unreleased development version which isn’t available), and perhaps the
prefixshould too. For actual versions installed, see
standarddockerfiles in the singleuser-image repo.
Something with nbgrader is giving an error in the web browser. Try running the equivalent command from the command line. That will usually give you more debugging information, and may tell you what is going wrong.
I see Server not running … Would you like to restart it? This particular error also happens if there are temporary network problems (even a few seconds and it comes back). It doesn’t necessarily mean that your server isn’t running, but there is no way to recover. I always tell people: if you see this message, refresh the page. If the server is still running, it recovers. If it’s actually not running, it will give you the option to restart it again. If there are still network problems, you’ll see an error message saying that.
Gurobi Gurobi has license issues, and it’s not clear if it can even be distributed by us. So far, we only support open software.
But, courses have used gurobi before. They had students install themselves, in the anaconda environment, and somehow told it what the Aalto license server was. For examaple, using the magic of “!” shell commands embedded in notebooks, it was something like this, which would automatically install gurobi for students and set the license file information.:
!conda install -c gurobi gurobi !echo [license_file_information] > ~/.[license_file_path]
I have done a test release/fetch/autograde of an assignment, and I want to re-generate it. It says I can’t since there are already grades. You also need to remove it from the database with the following command. Note that if students have already fetched, they will need to re-fetch it so don’t do this if it’s already in the hands of the students - you will only create chaos (see the point below).
$ nbgrader db assignment remove ASSIGNMENT-ID
I have already released an assignment, and now I need to update it and release it again. Some students have already fetched it. This works easily if students haven’t fetched it yet, if they have it requires some manual work from them.
What you need to do: (make sure the old version is git-committed), edit the source/ directory version, un-release the assignment, generate it again, release the assignment again. You might need to force it to fetch the assignment again, if it has already been fetched. (verify, TODO: let me know how you do this)
On the student side: After an assignment is fetched, it won’t present the option to fetch it again (that would lose their work). Instead, they need to move the fetched version to somewhere else, then re-fetch. You can send the following instructions to your students:
I have updated an assignment, and you will need to re-fetch it. You work won’t be lost, but you will need to merge it into the new versions.
First, make sure you save everything and close the notebooks.
Open a terminal in Jupyter
Run the following commands to change to the course assignment directory and move the assignment to a new place (
-oldsuffix on the directory name):
$ cd /notebooks/COURSE/ $ mv ASSIGMENT_ID ASSIGNMENT_ID-old
In the assignment list, it should now offer you to re-fetch the assignment.
You can now open both the new old old versions (but to open the old version, you need to navigate to
/notebooks/COURSE/ASSIGNMENT_ID-oldyourself to see it).
If you have already submitted the assignment, submit again. The old assignment is still submitted, but our fetching should get the new one.