# -*- 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.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:
https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/sagemaker.html#SageMaker.Client.create_model
:type config: dict
:param aws_conn_id: The AWS connection ID to use.
:type aws_conn_id: str
""" # noqa: E501
@apply_defaults
def __init__(self,
config,
*args, **kwargs):
super(SageMakerModelOperator, self).__init__(config=config,
*args, **kwargs)
self.config = config
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']
)
}