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43 × Eureka!Sorry, my test environment crashed. I have to fix it first to reproduce the problem. 😓
Sorry, I can not understand what does nut from
mean.
I have a similar question. I want to extend the authorization of clearml, but I have no idea about it according to docs. By the way, is it possible to implement the custom authorization based on the basic authz api in clearml? Or does clearml support it?
Do you use ClearML Open Source?
ok, I check it now
AgitatedDove14 , I will try it with latest version. But why the url in es is different from it in web UI? I have checked the codes that evnets.debug_images
api which will return url to web UI will get the url from es.
code commit
Hi AgitatedDove14 ,I try it with Clearml 1.1.4, but it fails again.
I want to know the total fields(string reference mentioned above) which can be used as input of step2. Are these fields of ClearML Task?
I meet the same problem.
I curl elastic and get the following result(picture 1).
I check the response of debug images from web UI, and I get the picture2.
version
I deploy clearml in 1.1.1 with helm, and use 1.0.4 clearml package.
Hi BurlySeagull48 AgitatedDove14 , does upgrading clearml package and images to 1.0.4 really work? https://clearml.slack.com/archives/CTK20V944/p1628112607184300?thread_ts=1628108536.180100&cid=CTK20V944
I am sure that I delete this user in auth.user
and backend.user
before call auth.create_user
- delete documents in
auth.user
andbackend.user
- > see picture
Also - did you start with a fresh DB after changing the default company value?
No, I just restart the apiserver and webserver pod.
I set it up with the following documentation: https://allegro.ai/clearml/docs/docs/deploying_clearml/clearml_server_kubernetes_helm.html
But you’re not using the webserver, you’re sending the cURL requests manually, aren’t you?
yes, I send them manully.
hi , @<1687645223846416384:profile|GracefulToad94> .
About Upgrade.
This version is deployed in the productive environment, so it is not easy to upgrade it.
About special user.
an ordinary user with the following information:
url:
createRequest:
type AuthCreateUserReq struct {
Avatar string
// brain, this value is also configured for apiserver's env CLEARML__APISERVER__DEFAULT_COMPANY(brain)
...
no, I just suspend this issue.
What is meaning of ‘the scheduling is done before that’? Does it mean the ClearML will schedule the task for me?
No, this is the first user in the brain company.
I check it with the following result:
action:
auth.create_user
mongo:
see picture
apiserver logs:
`[2022-05-17 10:02:50,024] [8] [WARNING] [clearml.service_repo] Returned 400 for auth.create_user in 8ms, msg=Value combination already exists: email=
`
which collection?
For example, I have a lot of tasks in a queue, but there is a default agent(services, mode = daemon) after using helm to deploy the ClearML in Kubernetes. As far as I know, agent will pull and execute the task in specified queue one by one, which results in other tasks are blocked. However, the physical resource is enough in cluster. So how can ClearML to improve the efficiency of execution? I can solve it by implementing a custom scheduler which is used to watch the queue, pull the task and...
Hi, SuccessfulKoala55 Maybe this is not a good question. In other words, docs introduce that ClearML Open Source supports orchestration, how can I found the relating codes? And what the role of clearml-agent in orchestration, a combination of kube-scheduler and kubelet?