Is this how I'm supposed to send the request to stop all running tasks, if task_ids is the list of task ids which are still running?
I think this was already answered: https://clearml.slack.com/archives/CTK20V944/p1638188009144200?thread_ts=1637914660.103300&cid=CTK20V944
Hi VexedCat68 ,
The URL is for the apiserver service, which in the default installation is in port 8008
, so if your deployment uses HTTP, the base URL is http://<hostname>:8008/
The key and secret can be the same ones you have configured in your clearml.conf
file, or you can generate another set of credentials in the profile page.
Yes, because you need to authenticate using credentials or a token... This is something that's missing apparently in the documentation (I'll make sure we fix it). In your code, you'll need to do something like the following:
` import requests
from requests.auth import HTTPBasicAuth
key = "<credential key for the user>"
secret = "<credential decreto fro the user>"
request_body = {
'ids': task_ids,
'status_reason': 'Tasks being spawned out of control'
}
url = ' '
x = requests.post(url, auth=HTTPBasicAuth(key, secret), json=request_body)
print(x) `
Can you take a look here?
https://clearml.slack.com/archives/CTK20V944/p1637914660103300
This is where I've mentioned the anonymous task spawn issue. I kind of want to understand what's causing the problem, if it is a problem etc