Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escaping: Escape characters +-&|!(){}[]^"~*?:\ with \, e.g. \+
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
Answered
What Sort Of Integration Is Possible With Clearml And Sagemaker? On The Page

What sort of integration is possible with ClearML and SageMaker? On the page describing ClearML Remote it says:

Create a remote development environment (e.g. AWS SageMaker, GCP CoLab, etc.) on any on-prem machine or any cloud.

But the only mention of SageMaker I see in the docs is the release notes for 0.13 saying "Add support for SageMaker".

I have SageMaker Studio up and running with access to my ClearML server and it's successfully able to log plots and scalars from experiments, but in terms of code it just logs the code used to launch the kernel:

"""Entry point for launching an IPython kernel.
This is separate from the ipykernel package so we can avoid doing imports until
after removing the cwd from sys.path.
"""
import sys

if __name__ == '__main__':
    # Remove the CWD from sys.path while we load stuff.
    # This is added back by InteractiveShellApp.init_path()
    if sys.path[0] == '':
        del sys.path[0]
    from ipykernel import kernelapp as app
    app.launch_new_instance()

Is it possible to capture more than that while using SageMaker?

  
  
Posted 2 years ago
Votes Newest

Answers 77


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}

  
  
Posted 2 years ago

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

  
  
Posted 2 years ago

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

  
  
Posted 2 years ago

sadly no

  
  
Posted 2 years ago

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": 0.0012879371643066406, "method": "GET", "uri": "/api/kernels", "status": 200}
{"__timestamp__": "2023-02-23T21:48:39.116324Z", "__schema__": "sagemaker.kg.request.schema", "__schema_version__": 1, "__metadata_version__": 1, "account_id": "", "duration": 0.0007715225219726562, "method": "GET", "uri": "/api/terminals", "status": 200}
{"__timestamp__": "2023-02-23T21:48:39.272822Z", "__schema__": "sagemaker.kg.request.schema", "__schema_version__": 1, "__metadata_version__": 1, "account_id": "", "duration": 0.0007491111755371094, "method": "GET", "uri": "/api/terminals", "status": 200}
{"__timestamp__": "2023-02-23T21:48:43.000795Z", "__schema__": "sagemaker.kg.request.schema", "__schema_version__": 1, "__metadata_version__": 1, "account_id": "", "duration": 2.539133071899414, "method": "POST", "uri": "/api/kernels", "status": 201}
{"__timestamp__": "2023-02-23T21:48:43.073568Z", "__schema__": "sagemaker.kg.request.schema", "__schema_version__": 1, "__metadata_version__": 1, "account_id": "", "duration": 0.0013430118560791016, "method": "GET", "uri": "/api/kernels/6ba227af-ff2c-4b20-89ac-86dcac95e2b2", "status": 200}
{"__timestamp__": "2023-02-23T21:48:43.469751Z", "__schema__": "sagemaker.kg.request.schema", "__schema_version__": 1, "__metadata_version__": 1, "account_id": "", "duration": 0.0013761520385742188, "method": "GET", "uri": "/api/kernels/6ba227af-ff2c-4b20-89ac-86dcac95e2b2", "status": 200}
{"__timestamp__": "2023-02-23T21:48:43.702549Z", "__schema__": "sagemaker.kg.request.schema", "__schema_version__": 1, "__metadata_version__": 1, "account_id": "", "duration": 0.0013780593872070312, "method": "GET", "uri": "/api/kernels/6ba227af-ff2c-4b20-89ac-86dcac95e2b2", "status": 200}
{"__timestamp__": "2023-02-23T21:48:43.986808Z", "__schema__": "sagemaker.kg.request.schema", "__schema_version__": 1, "__metadata_version__": 1, "account_id": "", "duration": 0.0007445812225341797, "method": "GET", "uri": "/api/kernels/6ba227af-ff2c-4b20-89ac-86dcac95e2b2", "status": 200}
{"__timestamp__": "2023-02-23T21:48:43.992860Z", "__schema__": "sagemaker.kg.request.schema", "__schema_version__": 1, "__metadata_version__": 1, "account_id": "", "duration": 0.001028299331665039, "method": "GET", "uri": "/api/kernels", "status": 200}
  
  
Posted 2 years ago

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

  
  
Posted 2 years ago

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

  
  
Posted 2 years ago

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

  
  
Posted 2 years ago

sounds good!

  
  
Posted 2 years ago

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

  
  
Posted 2 years ago

. I'm thinking it's generically a kernel gateway issue, but I'm not sure if other platforms are using that yet

The odd thing is that you can access the notebook, but it returns zero kernels ..

  
  
Posted 2 years ago

it does return kernels, just not sessions

  
  
Posted 2 years ago

at least in 2018 it returned sessions! None

  
  
Posted 2 years ago

Hi @<1532532498972545024:profile|LittleReindeer37> @<1523701205467926528:profile|AgitatedDove14>
I got the session with a bit of "hacking".
See this script:

import boto3, requests, json
from urllib.parse import urlparse

def get_notebook_data():
    log_path = "/opt/ml/metadata/resource-metadata.json"
    with open(log_path, "r") as logs:
        _logs = json.load(logs)
    return _logs

notebook_data = get_notebook_data()
client = boto3.client("sagemaker")
response = client.create_presigned_domain_url(
    DomainId=notebook_data["DomainId"],
    UserProfileName=notebook_data["UserProfileName"]
)
authorized_url = response["AuthorizedUrl"]
authorized_url_parsed = urlparse(authorized_url)
unauthorized_url = authorized_url_parsed.scheme + "://" + authorized_url_parsed.netloc
with requests.Session() as s:
    s.get(authorized_url)
    print(s.get(unauthorized_url + "/jupyter/default/api/sessions").content)

Basically, we can get the session directly from AWS, but we need to be authenticated.
One way I found was to create a presigned url through boto3, by getting the domain id and profile name from a resoure-metadata file that is found on the machine None .
Then use that to get the session...
Maybe there are some other ways to do this (safer), but this is a good start. We know it's possible

  
  
Posted 2 years ago

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

  
  
Posted 2 years ago

Nice

  
  
Posted 2 years ago

We will add this to the SDK soon

  
  
Posted 2 years ago
132K Views
77 Answers
2 years ago
2 years ago
Tags
Similar posts