aws
Receiving configuration error when loading SageMaker Session
Describe the bug In SageMaker Studio within a SageMaker Notebook instance, we use the SageMaker Python SDK. When using the sagemaker library, we are receiving errors in the SageMaker session and other methods.
It looks like the session tries to read a default config file that doesn't exists.
Not sure how to mitigate the error, and prevent SageMaker to look at default config file.
To reproduce
We execute:
from sagemaker.session import Session
And receive the following message:
sagemaker.config INFO - Not applying SDK defaults from location: /etc/xdg/sagemaker/config.yaml
Unable to create default JumpStart SageMaker Session due to the following error: None is not of type 'string'
Failed validating 'type' in schema['properties']['SageMaker']['properties']['FeatureGroup']['properties']['Tags']['items']['properties']['Value']:
{'maxLength': 256,
'minLength': 0,
'pattern': '^[\\w\\s\\d_.:/=+\\-@]*$',
'type': 'string'}
On instance['SageMaker']['FeatureGroup']['Tags'][0]['Value']:
None.
Then later we execute:
sagemaker_session = Session()
And receive this error:
File /opt/conda/lib/python3.8/site-packages/jsonschema/validators.py:1308, in validate(instance, schema, cls, *args, **kwargs)
1306 error = exceptions.best_match(validator.iter_errors(instance))
1307 if error is not None:
-> 1308 raise error
ValidationError: None is not of type 'string'
Failed validating 'type' in schema['properties']['SageMaker']['properties']['FeatureGroup']['properties']['Tags']['items']['properties']['Value']:
{'maxLength': 256,
'minLength': 0,
'pattern': '^[\\w\\s\\d_.:/=+\\-@]*$',
'type': 'string'}
On instance['SageMaker']['FeatureGroup']['Tags'][0]['Value']:
None
System information Using a SageMaker ml.t3.medium instance with a Data Science 3.0 kernel on SageMaker Studio within a SageMaker Notebook Instance. Using sagemaker version: 2.206.0
Additional context Add any other context about the problem here.
