if I add the base_url it's not found

Hi @<1532532498972545024:profile|LittleReindeer37>
Yes you are correct it should capture the entire jupyter notebook in sagemaker studio.
Just verifying this is the use case, correct ?

but the only exception handler is for requests.exceptions.SSLError

I additionally tried using a Sagemaker Notebook instance, to see if it was the kernel dockerization that Studio uses that was messing things up. But it seems to actually log less information from a Notebook instance vs Studio .

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

nice! Just tested it on my end as well, looks like it works!

This is very odd ... let me check something

Yes, I'm running a notebook in Studio. Where should it be captured?

sounds good, thanks!

it does return kernels, just not sessions

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

I think it just ends up in /home/sagemaker-user/{notebook}.ipynb every time

and that requests.get() throws an exception:

ConnectionError: HTTPConnectionPool(host='default', port=8888): Max retries exceeded with url: /jupyter/default/api/sessions (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7f7ba9cadc30>: Failed to establish a new connection: [Errno -2] Name or service not known'))

which I looked at previously to see if I could import sagemaker.kg or kernelgateway or something, but no luck

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

so notebooks ends up empty

I will once I figure out the fix!

local Jupyter Lab:

if there are any tests/debugging you'd like me to try, just let me know

SageMaker Studio:

@<1532532498972545024:profile|LittleReindeer37> nice!!! 😍
Do you want to PR? it will be relatively easy to merge and test, and I think that they might even push it to the next version (or worst case quick RC)

I can get it to run up to here: None

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" ?

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

but r.json() is an empty list

yeah, even then it'll run but return 0 notebooks

Hmm and you are getting empty list for thi one:

server_info['url'] = f"http://{server_info['hostname']}:{server_info['port']}/"

still empty