@<1523702000586330112:profile|FierceHamster54> Should we write to some other chat?
If you're using Helm it would be at the service level in your values.yml
, not pod level
Hum, must be more arcane then, I guess the official support would be able to provide an answer, they usually answer within 24 hours
upsy sorry didnt read the entire backtrace
@<1523702000586330112:profile|FierceHamster54> sorry, we got the same error ((
from clearml import Task
task = Task.init(project_name='example', task_name='task template')
task = Task.current_task()
task.setup_aws_upload(bucket="bucket",
host="host:port",
key="key",
secret="secret",
multipart=True, secure=False,verify=True)
task.execute_remotely(queue_name='default')
task.upload_artifact("list", [1, 2, 3])
Thanks a lot! @<1523702000586330112:profile|FierceHamster54>
Hello, @<1523702000586330112:profile|FierceHamster54> !
Can you please clarify, where in the clearml-agent's values.yaml we can specify the credentials? We've found there only fileServerUrlReference
Or we have to go to some other file?
The only other place that I see, is the values.yaml of the main helm chart clearml
(not clearml-agent). But there I think we can set the credentials for the default built-in Fileserver, not for some external bucket
Hello @<1523702000586330112:profile|FierceHamster54>
We specified credantials of s3 bucket in clearml.fileserverSecret and clearml.fileserverKey in values.yml of clearml and specified adress of s3 bucket in fileServerUrlReference in values.yml of clearml-agent.
When we run the task remotely we get an error:
clearml.storage - ERROR - Failed creating storage object s3:// Reason: Missing key and secret for S3 storage access ( s3://)
clearml.metrics - WARNING - Failed uploading to s3:// ('NoneType' object has no attribute 'upload')
clearml.metrics - ERROR - Not uploading 1/1 events because the data upload failed
If you feel you have a specific enough issue you can also post a github issue and link this thread to it
I got some credentials issues to in some pipelines steps and I solved it using
task = Task.current_task()
task.setup_aws_upload(...)
It can allows you to explicitaly specify credentials