Source code for airflow.contrib.operators.sagemaker_model_operator

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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()'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']
) }