it’s executed on the same agent machine, so yes, it is the same configuration
The dataset call should use the same configuration from the conf file, I assume it's the same, or are you running it from a different place?
hi everyone,
I have a question. I have deployed the ClearML server behind a load balancer that is using my company’s private certificate for SSL.
Now, when I try to execute a task with the clearml sdk I get errors such as:ssl.SSLCertVerificationError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: self signed certificate in certificate chain (_ssl.c:997)
To solve it, for now, I have adjusted my clearml.conf
with verify_certificate: False
api {
web_server:
api_server:
files_server:
credentials {
"access_key" = "xxx"
"secret_key" = "yyy"
}
verify_certificate: False
}
so now when I try to run Task.init(…) it works.
But, when I try to run Dataset.create(…) then again I get the same SSL error. Why requests from the Dataset method to the file server still give this error, and is there a configuration change that can skip SSL check for now?
it’s executed on the same agent machine, so yes, it is the same configuration
The dataset call should use the same configuration from the conf file, I assume it's the same, or are you running it from a different place?