Bump, still waiting, closing in on a month since we are unable to deploy. We have team of 10+ people

host: "my-minio-host:9000"

The port should be whatever port that is used by your S3 solution

clearml.conf is a fresh one i did clearml-init to make sure

maybe someone on your end can try to parse such a config and see if they also have the same problem

what about this script (replace with your creds, comment out creds in clearml.conf for now)

from clearml import Task
from clearml.storage.helper import StorageHelper

task = Task.init("test", "test")
task.setup_aws_upload(
    bucket="bucket1",
    host="localhost:9000",
    key="",
    secret="",
    profile=None,
    secure=True
)
helper = StorageHelper.get("

")

Again, I'm telling you, please look at the documentation and what it says specifically on minio like solutions.
The host should be
host: " our-host.com :<PORT>"
And NOT
host: " s3.our-host.com "
Maybe you don't require a port I don't know your setup, but as I said, in the host settings you need to remove the s3 as this is reserved only to AWS S3.

unable to see the images with that link tho

I think that the problem is with missing region definition. You need to set region in the config file.

But it looks like that for the existing version it will not work since there still appears to be a bug related to this. The hotfix is already on the way from my understanding

So, in short, you need to set the region in the config file + wait for the hotfix that is pending for 1.14

@<1523701070390366208:profile|CostlyOstrich36> Any news on this? We are currently stuck without this fix, cant finish up clearml setup

@<1590514584836378624:profile|AmiableSeaturtle81> ok, I think that your credentials from clearml.conf are actually working now. let's not change them.
Now let's try this simple code:

from clearml import Task
import numpy as np


if __name__ == "__main__":
    task = Task.init(task_name="test4", project_name="test4", output_uri="

")
    image = np.random.randint(0, 256, size=(500, 1000, 3), dtype=np.uint8)
    task.upload_artifact("image", image)

You should change the task_name and project_name from test just in case some object has been created previously

Setting these urls in SETTINGS/Configuration/ WEB APP CLOUD ACCESS in web ui
None doesnt work
None doesnt work
None doesnt work
None doesnt work
None gets replaced to None ://s3.host-our.com:8080 doesnt work
None doesnt work
None doesnt work

In all of these instances The S3 CREDENTIALS popup never dissapears, it will still popup always asking for creds no matter how I try to set the creds

ok, slight update. It seems like artifacts are uploading now to bucket. Maybe my folder explorer used old cache or something.
However, reported images are uploaded to fileserver instead of s3

here is the script im using to test things. Thanks

also, if I try to set the url to None it auto replaces it with None : None

just append it to None : None in Task.init

Hi, ok im really close now to working system
Debug image is uploading to s3, im seeing the files, all ok there

Problem now is viewing these images in web UI
Going to Debug Samples panel in Task drops me a popup to fill in s3 credentials

I cant figure out what the right setup is for the creds to work
This is what I have now (Note that we dont have region)

But there are stil some wierd issues, i cannot see the files uploaded in bucket

Hey, i see that 1.14.2 dropped
I tried it but the issue is still there, maybe the hotfix is in next patch?

Here is the setup so you can reproduce it (we dont have region field)
clearml.conf:
s3 {
use_credentials_chain: false
credentials: [
{
host: " s3.somehost.com "
key: "XXXXXXXXXXXXXXXXXXXX"
secret: "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
bucket: "rnd-dev"
},
]
}

test.py

task: clearml.Task = clearml.Task.init(
project_name="project",
task_name="task",
output_uri=" None ",
)

2024-02-08 11:23:52,150 - clearml.storage - ERROR - Failed creating storage object None Reason: Missing key and secret for S3 storage access ( None )

@<1523701435869433856:profile|SmugDolphin23> Setting it without http is not possible as it auto fills them back in

Yes, credetials seems to work
Im trying to figure out not why I dont see the uploaded files / folders

• I checked maybe clearml task uses fileserver instead but i dont see any files in fileserver folder
• Nothing is uploaded in bucket (i will ask IT guy to check if im uploading any files in logs)
  

Hi @<1590514584836378624:profile|AmiableSeaturtle81> , you need to add the port to the credentials when you input them in the webUI

In which ui? Because there are two ways to do it. When clicking on artifacti url there is a popup (but has no way to change host url)
Our s3 host doesnt have port (didnt specify port in clearml.conf anywhere and upload works)

Specifying it like this, gets me different error:

Exception has occurred: ValueError

• Insufficient permissions (delete failed) for None
  botocore.exceptions.ClientError: An error occurred (IllegalLocationConstraintException) when calling the DeleteObject operation: The me-south-1 location constraint is incompatible for the region specific endpoint this request was sent to.

During handling of the above exception, another exception occurred:

File "/home/ma/src/clearml-server/task_test.py", line 10, in <module>
task: clearml.Task = clearml.Task.init(
ValueError: Insufficient permissions (delete failed) for None

@<1523701070390366208:profile|CostlyOstrich36> Hello, im still unable to understand how to fix this

@<1590514584836378624:profile|AmiableSeaturtle81> weren't you using https for the s3 host? maybe the issue has something to do with that?

@<1523703436166565888:profile|DeterminedCrab71> Thanks for responding
It was unclear to me that I need to set 443 also everywhere in clearml.conf
Setting s3 host urls with 443 in clearml.conf and also in web UI made it work

Im now almost at the finish line. The last thing that would be great is to fix archived task deletion.
For some reason i have error of missing S3 keys in clearml docker compose logs, the folder / files are not deleted in S3 bucket.

You can see how storage_credentials.conf looks like for me (first image). The same as for client clearml.conf (with port as you suggested)

I have the storage_credentials.conf mounted inside of async_delete as a volume
I have also confirmed that mounting works and i have the storage_credentials.conf inside of async_delete container config folder.
Maybe im misconfiguring someting?

digging deeper it seems like a parsing issue

Can you actually add the bucket to the credentials just to try it out?
Also, can you check that this snippet works for you (with your creds):

import boto3
import json
import six

key = ""
secret = ""
host = "our_host.com"
bucket_name = "bucket"
profile = None
filename = "test"
data = {"test": "data"}

boto_session = boto3.Session(aws_access_key_id=key, aws_secret_access_key=secret, profile_name=profile)
endpoint = "https://" + host
boto_resource = boto_session.resource("s3", region_name=None, endpoint_url=endpoint)
bucket = boto_resource.Bucket(bucket_name)
bucket.put_object(Key=filename, Body=six.b(json.dumps(data)))

there is a typing in clearm.conf i sent you on like 87, there should be "key" not "ey" im aware of it

I tried it with port, but still having the same issue
Tried it with/without secure and multipart