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

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

What happens when you call:

from clearml.backend_interface.task.repo import ScriptInfo

print(ScriptInfo._ScriptInfo__legacy_jupyter_notebook_server_json_parsing(None))

but one possible workaround is to try to figure out if it's running in a gateway and then find the only notebook running on that server

api/kernels does report back the active kernel, but doesn't give notebook paths or anything

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']" ?

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

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

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 .

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

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

I will once I figure out the fix!

if I change it to 0.0.0.0 it works

if I add the base_url it's not found

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" ?

sadly no