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from airflow.contrib.hooks.aws_hook import AwsHook
from airflow.contrib.operators.sagemaker_base_operator import SageMakerBaseOperator
from airflow.utils.decorators import apply_defaults
from airflow.exceptions import AirflowException
[docs]class SageMakerModelOperator(SageMakerBaseOperator):
"""
Create a SageMaker model.
This operator returns The ARN of the model created in Amazon SageMaker
:param config: The configuration necessary to create a model.
For details of the configuration parameter see :py:meth:`SageMaker.Client.create_model`
:type config: dict
:param aws_conn_id: The AWS connection ID to use.
:type aws_conn_id: str
"""
@apply_defaults
def __init__(self,
config,
*args, **kwargs):
super(SageMakerModelOperator, self).__init__(config=config,
*args, **kwargs)
self.config = config
[docs] def expand_role(self):
if 'ExecutionRoleArn' in self.config:
hook = AwsHook(self.aws_conn_id)
self.config['ExecutionRoleArn'] = hook.expand_role(self.config['ExecutionRoleArn'])
[docs] def execute(self, context):
self.preprocess_config()
self.log.info('Creating SageMaker Model %s.', self.config['ModelName'])
response = self.hook.create_model(self.config)
if response['ResponseMetadata']['HTTPStatusCode'] != 200:
raise AirflowException('Sagemaker model creation failed: %s' % response)
else:
return {
'Model': self.hook.describe_model(
self.config['ModelName']
)
}