# -*- coding: utf-8 -*-
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
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:
https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/sagemaker.html#SageMaker.Client.create_endpoint_config
:type config: dict
:param aws_conn_id: The AWS connection ID to use.
:type aws_conn_id: str
""" # noqa: E501
integer_fields = [
['ProductionVariants', 'InitialInstanceCount']
]
@apply_defaults
def __init__(self,
config,
*args, **kwargs):
super(SageMakerEndpointConfigOperator, self).__init__(config=config,
*args, **kwargs)
self.config = config
[docs] 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']
)
}