Hi @<1590514584836378624:profile|AmiableSeaturtle81> , any non-AWS S3-like storage must have a port in this setup, how did you configure the SDK?
Also the two ways you're showing are the same - the popup will fill in the details in the settings page

removing it doesnt fix the problem

digging deeper it seems like a parsing issue

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("

")

As I wrote, you need to remove the s3 from the start of the host section..

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

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

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)

I dont have a region. I guess I will wait till tomarrow then?

Or whatever port you use

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

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)
  

also, when uploading artifacts, I see where they are stored on the s3 bucket, but I cant find where the debug images are stored at

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)))

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.

This is an actual AWS S3 bucket?

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

@<1523701070390366208:profile|CostlyOstrich36> Still unable to understand what im doing wrong.
We have self hosted S3 Ceph storage server
Setting my config like this breaks task.init

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?

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