still empty

so my reading of the jupyter-kernel-gateway docs is that each session is containerized, so each notebook "session" is totally isolated

but r.json() is an empty list

What do you have in "server_info['url']" ?

that fails

print(requests.get(url='

print(requests.get(url='

Hmm what do you have here?

os.system("cat /var/log/studio/kernel_gateway.log")

if I use the same kernel there'll be two

and the only calls to "uri": "/api/sessions" are the ones I made during testing - sagemaker doesn't seem to ever call that itself

at least in 2018 it returned sessions! None

This is strange, let me see if we can get around it, because I'm sure it worked 🙂

sounds good!

I can get it to run up to here: None

Yep I think you are correct, you should have had the same output as a local jupyter notebook, and it seems that in sagemaker studio it is not working 😞
Let me check something

We will add this to the SDK soon

it does return kernels, just not sessions

seems like it's using None and that doesn't provide the normal api/sessions endpoint - or, it does, but returns an empty list

As another test I ran Jupyter Lab locally using the same custom Docker container that we're using for Sagemaker Studio, and it works great there, just like the native local Jupyter Lab. So it's seemingly not the image, but maybe something to do with how Studio runs it as a kernel.

So it's seemingly not the image, but maybe something to do with how Studio runs it as a kernel.

Yeah I think that for some reason it fails detecting this is actually jupyter noteboko (not really sure why), Thank you for double checking on the container !!

the problem is here: None

the server_info is

[{'base_url': '/jupyter/default/',
  'hostname': '0.0.0.0',
  'password': False,
  'pid': 9,
  'port': 8888,
  'root_dir': '/home/sagemaker-user',
  'secure': False,
  'sock': '',
  'token': '',
  'url': '

',
  'version': '1.23.2'}]

local Jupyter Lab:

Just ran the same notebook in a local Jupyter Lab session and it worked as I expected it might, saving a copy to Artifacts

As in, which tab when I'm viewing the Experiment should I see it on? Should it be code, an artifact, or something else?

looks like the same as in server_info

one possibility for getting the notebook filepath is finding and parsing /home/sagemaker-user/.jupyter/lab/workspaces/default-37a8.jupyterlab-workspace I think, but I don't know if I can tie that to a specific session

as best I can tell it'll only have one .ipynb in $HOME with this setup, which may work...

SageMaker Studio:

right now I can't figure out how to get the session in order to get the notebook path

you mean the code that fires "HTTPConnectionPool" ?