Source code for airflow.providers.amazon.aws.operators.sagemaker_endpoint
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from typing import Optional
from botocore.exceptions import ClientError
from airflow.exceptions import AirflowException
from airflow.providers.amazon.aws.hooks.base_aws import AwsBaseHook
from airflow.providers.amazon.aws.operators.sagemaker_base import SageMakerBaseOperator
from airflow.utils.decorators import apply_defaults
[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: dict,
wait_for_completion: bool = True,
check_interval: int = 30,
max_ingestion_time: Optional[int] = None,
operation: str = 'create',
**kwargs,
):
super().__init__(config=config, **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) -> None:
"""Set fields which should be casted to integers."""
if 'EndpointConfig' in self.config:
self.integer_fields = [['EndpointConfig', 'ProductionVariants', 'InitialInstanceCount']]
[docs] def expand_role(self) -> None:
if 'Model' not in self.config:
return
hook = AwsBaseHook(self.aws_conn_id, client_type='iam')
config = self.config['Model']
if 'ExecutionRoleArn' in config:
config['ExecutionRoleArn'] = hook.expand_role(config['ExecutionRoleArn'])
[docs] def execute(self, context) -> dict:
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:
self.log.info('Creating SageMaker model %s.', model_info['ModelName'])
self.hook.create_model(model_info)
if endpoint_config_info:
self.log.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"')
self.log.info('%s SageMaker endpoint %s.', log_str, endpoint_info['EndpointName'])
try:
response = sagemaker_operation(
endpoint_info,
wait_for_completion=self.wait_for_completion,
check_interval=self.check_interval,
max_ingestion_time=self.max_ingestion_time,
)
except ClientError: # Botocore throws a ClientError if the endpoint is already created
self.operation = 'update'
sagemaker_operation = self.hook.update_endpoint
log_str = 'Updating'
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']),
}