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)
  

it looks like problem is the host field, whenever I add it I get:
2024-01-22 13:27:16,489 - clearml.storage - ERROR - Failed creating storage object None Reason: Missing key and secret for S3 storage access ( None )

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)

Hi @<1590514584836378624:profile|AmiableSeaturtle81> , the hotfix should right around the corner 🙂

host: "my-minio-host:9000"

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.

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?

@<1590514584836378624:profile|AmiableSeaturtle81> , please see the section regarding minio in the documentation - None

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...

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

Hi @<1590514584836378624:profile|AmiableSeaturtle81> ! To help us debug this: are you able to simply use the boto3 python package to interact with your cluster?
If so, how does that code look like? This would give us some insight on how the config should actually look like or what changes need to be made.

Hi @<1590514584836378624:profile|AmiableSeaturtle81> self hosted S3 service must specify the protocol (http/https) and port, even for the default ones (80 / 443).

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

s

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

@<1523701435869433856:profile|SmugDolphin23> Any news?

@<1590514584836378624:profile|AmiableSeaturtle81> if you wish for you debug samples to be uploaded to s3 you have 2 options: you either use this function: None
or you can change the api.files_server entry to your s3 bucket in clearml.conf . This way you wouldn't need to call set_default_upload_destination every time you run a new script.
Also, in clearml.conf , you can change sdk.development.default_output_uri such that you don't need to set output_uri="s3://... every time in Task.init

@<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

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
}

2024-02-08 11:23:52,150 - clearml.storage - ERROR - Failed creating storage object

Reason: Missing key and secret for S3 storage access (

)

(edited)

This looks unrelated, to the hotfix, it looks like you misconfigured something and therefor failing to write to s3

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.

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

Also, is it an AWS S3 or is it some similar storage solution like Minio?

Can you add your full configurations again?

removing it doesnt fix the problem

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

File is written

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("

")

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