I think that will work, but I'm not sure actually. I know for sure that something like us-east-2 is supported

A bit overwhelmed by configuration, since it has an agent, a server and bunch of configuration files, easy to mess up

Can you share a snippet?

check the output_uri parameter in Task.init

SuccessfulKoala55 Hey, Jake, getting back to you. I couldn't be able to resolve my issue. I can access my bucket by any means just fine, e.g. by S3 CLI client. All the tools I use require 4 params: AK, SK, endpoint, bucket. I wonder why ClearML doesn't have explicit endpoint parameter and you have to use output_uri for it and why is there a region when other tools don't require it.

SmugDolphin23 I added a region, run experiment again. Didn't work

BoredBat47 Just to check if u need to do update-ca-certificates or equivalent?

I meant the code where you upload an artifact, sorry

SuccessfulKoala55 Fixed it by setting env var with path to certificates. I was sure that wouldn't help since I can curl and python get request to my endpoint from shell just fine. Now it says I am missing security headers, seems it's something on my side. Will try to fix this

SmugDolphin23 SuccessfulKoala55
2023-02-03 20:38:14,515 - clearml.metrics - WARNING - Failed uploading to <my-endpoint> (HTTPSConnectionPool(host=' e ndpoint', port=443): Max retries exceeded with url: / (Caused by SSLError(SSLCertVerificationError(1, '[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1131)'))))
2023-02-03 20:38:14,517 - clearml.metrics - ERROR - Not uploading 1/2 events because the data upload failed

BoredBat47 Yeah. This is an example:

 s3 {
            key: "mykey"
            secret: "mysecret"
            region: "us-east-1"
            credentials: [
                 {
                     bucket: "

"
                     key: "mykey"
                     secret: "mysecret"
                    region: "us-east-1"
                  },
            ]
}
# some other config
default_output_uri: "

"

How can you have a certificate error if you're using S3? I'm sure their certificate is OK...

BoredBat47 How would you connect with boto3 ? ClearML uses boto3 as well, what it basically does is getting the key/secret/region from the conf file. After that it opens a Session with the credentials. Have you tried deleting the region altogether from the conf file?

OK. Bt the way, you can find the region from the AWS dashabord

OddShrimp85 I fixed my SSL error by putting REQUESTS_CA_BUNDLE=/etc/ssl/certs/ca-certificates.crt in .bashrc file

Yeah, that's always the case with complex systems 😕

` s3 {
# S3 credentials, used for read/write access by various SDK elements

        # default, used for any bucket not specified below
        key: "mykey"
        secret: "mysecret"
        region: " ` ` "

        credentials: [

             {
                 bucket: "mybucket"
                 key: "mykey"
                 secret: "mysecret"
                 region: " ` ` "
              }, `

SuccessfulKoala55 Could you provide a sample of how to properly fill all the necessary config values to make S3 work, please?
My endpoint starts with https:// and I don't know what my region is, endpoint URL doesn't contain it.
Right now I fill it like this:

aws.s3.key = <access-key>
aws.s3.secret = <secret-key>
aws.s3.region = <blank>
aws.s3.credentials.0.bucket = <just_bucket_name>
aws.s3.credentials.0.key = <access-key>
aws.s3.credentials.0.secret = <secret-key>
sdk.development.default_output_uri = <

>

it's the same file you added your s3 creds to

SmugDolphin23 Thank you very much!
That's clearml.conf for ClearML end users right?

SmugDolphin23 I didn't use a region at first and that was not working. Now I use a region and it still doesn't work.
From the boto3 inside a Python I could create a session where I specify ak and sk, and create a client from the session where I pass service_name and endpoint_url. It works just fine

And I believe that by default we send artifacts to the clearml server if not specified

OddShrimp85 I haven't done it, for me it worked as-is

BoredBat47 the bucket name in your case should just be somebucket (and should not start with s3:// )

SmugDolphin23 Sorry to bother again, output_uri should be a URI to S3 endpoint or clear ml fileserver? If it's not provided artifacts are stored locally, right?

SmugDolphin23

SmugDolphin23 I actually don't know where to get my region for the creds to S3 I am using. From what I figured, I have to plug in my sk, ak and bucket into credentials in agent and output URI must be my S3 endpoint — complete URI with protocol. Is it correct?

Hi again, BoredBat47 ! I actually took a closer look at this. The config file should look like this:

        s3 {
            key: "KEY"
            secret: "SECRET"
            use_credentials_chain: false

            credentials: [
                {
                    host: "myendpoint:443"  # no http(s):// and no s3:// prefix, also no bucket name
                    key: "KEY"
                    secret: "SECRET"
                    secure: true  # if https
                },
            ]
        }
        default_output_uri: "

"  # notice the s3:// prefix (not http(s))

The region should be optional, but try setting it as well if it doesn't work

Oh, it's configured o agent machine, got you

` from random import random
from clearml import Task, TaskTypes

args = {}
task: Task = Task.init(
project_name="My Proj",
task_name='Sample task',
task_type=TaskTypes.inference,
auto_connect_frameworks=False
)
task.connect(args)
task.execute_remotely(queue_name="default")
value = random()
task.get_logger().report_single_value(name="sample_value", value=value)
with open("some_artifact.txt", "w") as f:
f.write(f"Some random value: {value}\n")
task.upload_artifact(name="test_artifact", artifact_object="some_artifact.txt") `