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Hello! I Have A Hard Time Connecting To Non-Aws S3 Bucket To Use It As A Storage To Clearml Dataset. Even Though I Add Access And Secret Key In ~/Clearml.Conf File, When I Trying To Create A New Clearml Dataset:

Hello! I have a hard time connecting to non-aws s3 bucket to use it as a storage to clearml Dataset. Even though I add access and secret key in ~/clearml.conf file, when i trying to create a new clearml dataset:

from clearml import Dataset
cdataset = Dataset.create(
dataset_name='synthetica_train',
dataset_project='Seismic',
dataset_version="1.0",
description='Synthetic data for training',
output_uri = "s3://backet"
)
I get an error:

2023-04-07 16:38:34,629 - clearml.storage - ERROR - Failed uploading: Could not connect to the endpoint URL: "https://clearml-data-test.s3.ru-central1.amazonaws.com/.clearml.test"
I really can’t find out where this amazonaws.com/.clearml.test is coming from and how to set endpoint url of my non amazon aws s3 bucket, so it looks like

https://<my_endpoint>/<bucket>

Can some please help me?

  
  
Posted 10 months ago
Votes Newest

Answers


Hi @<1555362936292118528:profile|AdventurousElephant3>

hard time connecting to non-aws s3 bucket

if this is a non-s3 the output_uri should look something like:
output_uri = " None :port/backet"
Then make sure you have the correct credentials in your clearml.conf:
None

  
  
Posted 10 months ago
614 Views
1 Answer
10 months ago
10 months ago
Tags
aws
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