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

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

@<1526734383564722176:profile|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: "

"

@<1523701087100473344:profile|SuccessfulKoala55> I figured where to find a region but we don't have an AWS dashboard. We have a custom S3 solution for our own enterprise servers like many companies do, data is not stored on amazon servers. That is why we have and endpoint which is an URL starting with http:// If I would connect to our bucket via boto3 I would pass endpoint to a client session with endpoint_url

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

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

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

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

Could you try adding region under credentials as well?

@<1526734383564722176:profile|BoredBat47> the bucket name in your case should just be somebucket (and should not start with s3:// )

@<1526734383564722176:profile|BoredBat47> Just to check if u need to do update-ca-certificates or equivalent?

@<1523701435869433856:profile|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

I meant the code where you upload an artifact, sorry

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

` 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") `

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

@<1523701087100473344:profile|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.

@<1526734383564722176:profile|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?

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

The code is run from another machine where clearml.conf configured to connect to ClearML server, no other configurations are provided

You need to specify it. Or you could specify this in your config: https://github.com/allegroai/clearml/blob/54c601eea2f9981bb8e360a8203bc36696a55cfd/clearml/config/default/sdk.conf#L164

@<1523701435869433856:profile|SmugDolphin23> Thanks a lot, that actually worked! It was very difficult to figure out you have to plug those exact values given you have https endpoint:

• Using s3 protocol instead of https together with bucket name in output URI
• Not providing a bucket name in credentials section where it is by default
• Providing default secure port for both host and output URI
• Disabling credentials chainI think a common use case for many people that they get S3 storage with integrated Amazon solution where they are provided with region and a bucket name. Together with access key it's sufficient to connect to their cloud. But a lot of people, especially in enterprise have a case like mine where they have https endpoint to their company hosted S3 solution so I think it would be great to reflect that case in documentation so other people would have easier time to configure https endpoints for clearml-agent. Another thing would be nice to have is to support endpoint parameter under S3 section of clearml.conf which if provided as is (with https and no port) is sufficient to connect to S3 bucket. That would require some coding and rewriting URL constructing methods and maybe boto3 calls (I peeked inside a code and would say some places regarding this issue were questionable e.g. init method in _Container class in helper.py). I would try to fix it myself and make a pull request if working schedule lets me but I can't make a promise on that.
  @<1523701070390366208:profile|CostlyOstrich36> @<1523701087100473344:profile|SuccessfulKoala55> H. Thank you too for helping! Would be great if you'd try to look at the issue I discussed in this message.
  Good luck, guys!

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

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

@<1523701304709353472:profile|OddShrimp85> I haven't done it, for me it worked as-is

SmugDolphin23 Got it. Now I am a bit confused about region parameter in s3 section. Amazon docs say that region could be a regular URL with protocol like https://etc.etc which my endpoint actually is. I plugged it in s3 section in clearml.conf. Should it stay that way?

Can you share a snippet?

` 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: " ` ` "
              }, `

@<1523701435869433856:profile|SmugDolphin23> @<1523701087100473344:profile|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