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from airflow.contrib.operators.sagemaker_base_operator import SageMakerBaseOperator
from airflow.utils.decorators import apply_defaults
from airflow.exceptions import AirflowException
[docs]class SageMakerEndpointConfigOperator(SageMakerBaseOperator):
"""
Create a SageMaker endpoint config.
This operator returns The ARN of the endpoint config created in Amazon SageMaker
:param config: The configuration necessary to create an endpoint config.
For details of the configuration parameter see :py:meth:`SageMaker.Client.create_endpoint_config`
:type config: dict
:param aws_conn_id: The AWS connection ID to use.
:type aws_conn_id: str
"""
integer_fields = [
['ProductionVariants', 'InitialInstanceCount']
]
@apply_defaults
def __init__(self,
config,
*args, **kwargs):
super(SageMakerEndpointConfigOperator, self).__init__(config=config,
*args, **kwargs)
self.config = config
def execute(self, context):
self.preprocess_config()
self.log.info('Creating SageMaker Endpoint Config %s.', self.config['EndpointConfigName'])
response = self.hook.create_endpoint_config(self.config)
if response['ResponseMetadata']['HTTPStatusCode'] != 200:
raise AirflowException(
'Sagemaker endpoint config creation failed: %s' % response)
else:
return {
'EndpointConfig': self.hook.describe_endpoint_config(
self.config['EndpointConfigName']
)
}