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Subject [GitHub] yangaws commented on a change in pull request #4126: [AIRFLOW-2524] More AWS SageMaker operators, sensors for model, endpoint-config and endpoint
Date Tue, 06 Nov 2018 08:19:36 GMT
yangaws commented on a change in pull request #4126: [AIRFLOW-2524] More AWS SageMaker operators,
sensors for model, endpoint-config and endpoint
URL: https://github.com/apache/incubator-airflow/pull/4126#discussion_r231030413
 
 

 ##########
 File path: airflow/contrib/operators/sagemaker_endpoint_operator.py
 ##########
 @@ -0,0 +1,151 @@
+# -*- 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
+
+
+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:
+        https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/sagemaker.html#SageMaker.Client.create_model
+        
+        For details of the configuration parameter of endpoint_config_configuration, See:
+        https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/sagemaker.html#SageMaker.Client.create_endpoint_config
+        
+        For details of the configuration parameter of endpoint_configuration, See:
+        https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/sagemaker.html#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
+    """  # noqa
+
+    @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 AirflowException('Invalid value! Argument operation has to be one of "create"
and "update"')
 
 Review comment:
   Updated. Thanks for explanation for AirflowException. 

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