we use Ceph Storage Cluster, interface to it is the same as S3
I dont get what I have misconfigured.
The only thing I have not added is "region" field in clearml.conf because we literally dont have, its a self hosted cluster.
You can try and replicate this s3 config I have posted earlier.

I know these keys work, url and everything else works because I use these creds daily

The problem is that clearml.conf s3 config doesnt support empty region field, even empty strings crashes it

Hi @<1590514584836378624:profile|AmiableSeaturtle81> ! We have someone investigating the UI issue (I mainly work on the sdk). They will get back to you once they find something...

So from our IT guys i now know that
"s3" part of url is subdomain, we use it in all other libs like boto3 and cloudpathlib, never had any problems
This is where the crash happens inside the clearml Task

will it be appended in clearml?
"s3" is part of domain to the host

We dont need a port
"s3" is part of url that is configured on our routers, without it we cannot connect

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)

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

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

host: "my-minio-host:9000"

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

clearml.conf:
{
# This will apply to all buckets in this host (unless key/value is specifically provided for a given bucket)
host: " our-host.com "
key: "xxx"
secret: "xxx"
multipart: false
secure: true
}

This is unrelated to your routers. There are two things at play here. The configuration of WHERE the data will go - output_uri and the other is the clearml.conf that you need to setup with credentials. I am telling you, you are setting it wrong. Please follow documentation.

we might as well have "s5" there but it is needed there

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

@<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

good morning, I tried the script you provided and Im getting somewhere

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

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

unable to see the images with that link tho

This is the link generated

Meaning that you should configure your host as follows host: "somehost.com:9000"

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

It looks like im moving forward

Setting url in clearml.conf without "s3" as suggested works (But I dont add port ther, not sure if it breaks something, we dont have a port)
host: " our-host.com "

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

I think connection is created
What im getting now is bucket error, i suppose I have to specify it somewhere?

@<1523701435869433856:profile|SmugDolphin23> Any ideas how to fix this?

2. This is how web UI configurations looks like
   

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("

")

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

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)))