yep

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

Yeah, I think that'd work

sadly no

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

sh-4.2$ cat /var/log/studio/kernel_gateway.log | head -n10
{"__timestamp__": "2023-02-23T21:48:28.036559Z", "__schema__": "sagemaker.kg.request.schema", "__schema_version__": 1, "__metadata_version__": 1, "account_id": "", "duration": 0.0012829303741455078, "method": "GET", "uri": "/api", "status": 200}
{"__timestamp__": "2023-02-23T21:48:39.111068Z", "__schema__": "sagemaker.kg.request.schema", "__schema_version__": 1, "__metadata_version__": 1, "account_id": "", "duration": 0.00128793...

nope, that's wrong

but r.json() is an empty list

the problem is here: None

here's my script:

#!/bin/bash
echo "******************** Starting Agent ********************"
echo "******************** Getting ENV Variables ********************"
source /etc/profile.d/env-vars.sh

# test that we can access the API
echo "******************** Waiting for ${CLEARML_API_HOST} connectivity ********************"
curl --retry 10 --retry-delay 10 --retry-connrefused ${CLEARML_API_HOST}/debug.ping

# start the agent
for i in $(seq 1 ${NUM_WORKERS})
do 
    export CLEARML_WORK...

and cat /var/log/studio/kernel_gateway.log | grep ipynb comes up empty

I could just loop through and create separate pipelines with different parameters, but seems sort of inefficient. the hyperparameter optimization might actually work in this case utilizing grid search, but seems like kind of a hack

curious whether it impacts anything besides sagemaker. I'm thinking it's generically a kernel gateway issue, but I'm not sure if other platforms are using that yet

I'm doing that and it's working well

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

if I instead change the request url to f"http://{server_info['hostname']}:{server_info['port']}/api/sessions" then it gets a 200 response... however , the response is an empty list

SageMaker Studio:

None

I'm not sure if Subprojects will work for that - can you use the Web UI to compare the artifacts from two separate subprojects?

but maybe that doesn't matter, actually - it might be one session per host I guess

cool, thanks! the first one was what I had thought of but seemed unpythonic, so I'll give the second a shot

done: None

but even then the sessions endpoint is still empty

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

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

if I use the same kernel there'll be two

looks like the same as in server_info

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

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'))

sounds good, thanks!