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Working On The Vs Code Extension. Pretty Stumped On This One...

Working on the VS Code extension. Pretty stumped on this one...

Posted 3 months ago
Votes Newest

Answers 7

While I'm wishing for things: it'd be awesome if it had a queue already set up. But if there's not a way to do that in the docker compose file, I could potentially write a script that uses the creds to create one using API calls

Posted 3 months ago

What you're seeing looks like a payload being stripped from the request body (typically sent using a GET request), which is typical of GCP load-balancers

Posted 3 months ago

The issue went away. I'm still not sure why, but what finally made it work was creating a set of credentials manually in the UI and then setting those in my ~/clearml.conf file.

Do you happen to have a link to a docker-compose.yaml file that has a hardcoded set of credentials?

I want to seed the clearml instance with a set of credentials and ~/clearml.conf to run automated tests.

Posted 3 months ago

Interesting . It’s actually just running locally on my laptop. It seemed only to be an issue when pointing the ClearML session CLI at my local version of ClearML. Still thinking about this one.

Posted 3 months ago

@<1541954607595393024:profile|BattyCrocodile47> any chance you're using a server hosted in Google Cloud?

Posted 3 months ago

I'm trying to add a docker-compose.yaml to the repo to

  • make it more convenient for contributors to develop locally
  • spin up a local ClearML instance in CI to run automated tests
    Here's the docker-compose file (mostly the standard file, except I altered the volume mounts, and I added minIO)
    Here's the clearml.conf file (only custom settings are the api section)

I'm able to enqueue and run normal tasks, okay. But not clearml-session s. When I run

CLEARML_CONFIG_FILE=path/to/clearml.conf clearml-session --queue sessions --docker python:3.9 --verbose

The only log I get is

clearml-session - CLI for launching JupyterLab / VSCode on a remote machine


I tried adding print statements to the clearml_session/__main__.py file to see what was going on. It seems to fail the first time it ever tries to make a request to the clearml backend.

When the first request is made, these are the parameters before receiving an HTTP status 400

$ clearml-session --queue sessions --docker python:3.9                                                                   1 ↵
clearml-session - CLI for launching JupyterLab / VSCode on a remote machine
headers:  {'Authorization': 'Bearer eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpZGVudGl0eSI6eyJ1c2VyX25hbWUiOiJhcGlzZXJ2ZXIiLCJyb2xlIjoic3lzdGVtIiwiY29tcGFueSI6ImQxYmQ5MmEzYjAzOTQwMGNiYWZjNjBhN2E1YjFlNTJiIiwiY29tcGFueV9uYW1lIjoiY2xlYXJtbCIsInVzZXIiOiJfX2FwaXNlcnZlcl9fIn0sImlhdCI6MTY5OTM1MDM1NSwiZW52IjoiPHVua25vd24-IiwiYXV0aF90eXBlIjoiQmVhcmVyIiwiYXBpX3ZlcnNpb24iOiIyLjI2Iiwic2VydmVyX3ZlcnNpb24iOiIxLjEyLjEiLCJzZXJ2ZXJfYnVpbGQiOiIzOTciLCJmZWF0dXJlX3NldCI6ImJhc2ljIn0.u8ry4WrTh1kSCnJUXVqPxRy8lXw3DCTMmC1pHWWCIBI'} service:  users action:  get_current_user version:  None method:  get data:  None json:  None params:  None
got here <Response [400]>

I think I'm down a rabbit hole 😆

Posted 3 months ago

You can actually use the agent's --create-queue command line option to make it automatically create a queue for you

Posted 3 months ago
7 Answers
3 months ago
3 months ago