Source code for airflow.contrib.operators.sagemaker_endpoint_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 SageMakerEndpointOperator(SageMakerBaseOperator): """ Create a SageMaker endpoint. This operator returns The ARN of the endpoint created in Amazon SageMaker :param config: The configuration necessary to create an endpoint. If you need to create a SageMaker endpoint based on an existed SageMaker model and an existed SageMaker endpoint config:: config = endpoint_configuration; If you need to create all of SageMaker model, SageMaker endpoint-config and SageMaker endpoint:: config = { 'Model': model_configuration, 'EndpointConfig': endpoint_config_configuration, 'Endpoint': endpoint_configuration } For details of the configuration parameter of model_configuration see :py:meth:`SageMaker.Client.create_model` For details of the configuration parameter of endpoint_config_configuration see :py:meth:`SageMaker.Client.create_endpoint_config` For details of the configuration parameter of endpoint_configuration see :py:meth:`SageMaker.Client.create_endpoint` :type config: dict :param aws_conn_id: The AWS connection ID to use. :type aws_conn_id: str :param wait_for_completion: Whether the operator should wait until the endpoint creation finishes. :type wait_for_completion: bool :param check_interval: If wait is set to True, this is the time interval, in seconds, that this operation waits before polling the status of the endpoint creation. :type check_interval: int :param max_ingestion_time: If wait is set to True, this operation fails if the endpoint creation doesn't finish within max_ingestion_time seconds. If you set this parameter to None it never times out. :type max_ingestion_time: int :param operation: Whether to create an endpoint or update an endpoint. Must be either 'create or 'update'. :type operation: str """ @apply_defaults def __init__(self, config, wait_for_completion=True, check_interval=30, max_ingestion_time=None, operation='create', *args, **kwargs): super(SageMakerEndpointOperator, self).__init__(config=config, *args, **kwargs) self.config = config self.wait_for_completion = wait_for_completion self.check_interval = check_interval self.max_ingestion_time = max_ingestion_time self.operation = operation.lower() if self.operation not in ['create', 'update']: raise ValueError('Invalid value! Argument operation has to be one of "create" and "update"') self.create_integer_fields()
[docs] def create_integer_fields(self): if 'EndpointConfig' in self.config: self.integer_fields = [ ['EndpointConfig', 'ProductionVariants', 'InitialInstanceCount']
[docs] def expand_role(self): if 'Model' not in self.config: return hook = AwsHook(self.aws_conn_id) config = self.config['Model'] if 'ExecutionRoleArn' in config: config['ExecutionRoleArn'] = hook.expand_role(config['ExecutionRoleArn'])
[docs] def execute(self, context): self.preprocess_config() model_info = self.config.get('Model') endpoint_config_info = self.config.get('EndpointConfig') endpoint_info = self.config.get('Endpoint', self.config) if model_info:'Creating SageMaker model %s.', model_info['ModelName']) self.hook.create_model(model_info) if endpoint_config_info:'Creating endpoint config %s.', endpoint_config_info['EndpointConfigName']) self.hook.create_endpoint_config(endpoint_config_info) if self.operation == 'create': sagemaker_operation = self.hook.create_endpoint log_str = 'Creating' elif self.operation == 'update': sagemaker_operation = self.hook.update_endpoint log_str = 'Updating' else: raise ValueError('Invalid value! Argument operation has to be one of "create" and "update"')'%s SageMaker endpoint %s.', log_str, endpoint_info['EndpointName']) response = sagemaker_operation( endpoint_info, wait_for_completion=self.wait_for_completion, check_interval=self.check_interval, max_ingestion_time=self.max_ingestion_time ) if response['ResponseMetadata']['HTTPStatusCode'] != 200: raise AirflowException( 'Sagemaker endpoint creation failed: %s' % response) else: return { 'EndpointConfig': self.hook.describe_endpoint_config( endpoint_info['EndpointConfigName'] ), 'Endpoint': self.hook.describe_endpoint( endpoint_info['EndpointName']
) }