Hmm and you are getting empty list for thi one:

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

if I add the base_url it's not found

nope, that's wrong

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

so notebook path is empty

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'}]

the problem is here: None

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

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" ?

local Jupyter Lab:

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

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 .

I can get it to run up to here: None

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

Hmm what do you have here?

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

At the top there should be the URL of the notebook (I think)

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

We will add this to the SDK soon

poking around a little bit, and clearml.backend_interface.task.repo.scriptinfo.ScriptInfo._get_jupyter_notebook_filename() returns None

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

Try to add here:
None

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

lots of things like {"__timestamp__": "2023-02-23T23:49:23.285946Z", "__schema__": "sagemaker.kg.request.schema", "__schema_version__": 1, "__metadata_version__": 1, "account_id": "", "duration": 0.0007679462432861328, "method": "GET", "uri": "/api/kernels/6ba227af-ff2c-4b20-89ac-86dcac95e2b2", "status": 200}

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

sounds good!

print(requests.get(url='

print(requests.get(url='

looks like the same as in server_info

environ{'PYTHONNOUSERSITE': '0',
        'HOSTNAME': 'gfp-science-ml-t3-medium-d579233e8c4b53bc5ad626f2b385',
        'AWS_CONTAINER_CREDENTIALS_RELATIVE_URI': '/_sagemaker-instance-credentials/xxx',
        'JUPYTER_PATH': '/usr/share/jupyter/',
        'SAGEMAKER_LOG_FILE': '/var/log/studio/kernel_gateway.log',
        'PATH': '/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/tmp/miniconda3/condabin:/tmp/anaconda3/condabin:/tmp/miniconda2/condabin:/tmp/anaconda2/condabin',
        'REGION_NAME': 'us-east-1',
        'AWS_INTERNAL_IMAGE_OWNER': 'Custom',
        'AWS_DEFAULT_REGION': 'us-east-1',
        'PWD': '/home/sagemaker-user',
        'AWS_REGION': 'us-east-1',
        'SHLVL': '1',
        'HOME': '/home/sagemaker-user',
        'AWS_SAGEMAKER_PYTHONNOUSERSITE': '0',
        'AWS_ACCOUNT_ID': 'xxx',
        '_': '/opt/.sagemakerinternal/conda/bin/jupyter-kernelgateway',
        'LC_CTYPE': 'C.UTF-8',
        'KERNEL_LAUNCH_TIMEOUT': '40',
        'KERNEL_WORKING_PATH': '',
        'KERNEL_GATEWAY': '1',
        'JPY_PARENT_PID': '9',
        'PYDEVD_USE_FRAME_EVAL': 'NO',
        'TERM': 'xterm-color',
        'CLICOLOR': '1',
        'FORCE_COLOR': '1',
        'CLICOLOR_FORCE': '1',
        'PAGER': 'cat',
        'GIT_PAGER': 'cat',
        'MPLBACKEND': '

_inline'}

at least in 2018 it returned sessions! None