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https://issues.apache.org/jira/browse/AIRFLOW-2524?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16562276#comment-16562276
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ASF GitHub Bot commented on AIRFLOW-2524:
-----------------------------------------
troychen728 commented on a change in pull request #3658: [AIRFLOW-2524] Add
Amazon SageMaker Training
URL: https://github.com/apache/incubator-airflow/pull/3658#discussion_r206273826
##########
File path: airflow/contrib/sensors/sagemaker_base_sensor.py
##########
@@ -0,0 +1,63 @@
+# -*- 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.sensors.base_sensor_operator import BaseSensorOperator
+from airflow.utils import apply_defaults
+from airflow.exceptions import AirflowException
+
+
+class SageMakerBaseSensor(BaseSensorOperator):
+ """
+ Contains general sensor behavior for SageMaker.
+ Subclasses should implement get_emr_response() and state_from_response()
methods.
+ Subclasses should also implement NON_TERMINAL_STATES and FAILED_STATE
constants.
Review comment:
I replaced the constant with a method that raises an error if not
implemented.
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> Airflow integration with AWS Sagemaker
> --------------------------------------
>
> Key: AIRFLOW-2524
> URL: https://issues.apache.org/jira/browse/AIRFLOW-2524
> Project: Apache Airflow
> Issue Type: Improvement
> Components: aws, contrib
> Reporter: Rajeev Srinivasan
> Assignee: Yang Yu
> Priority: Major
> Labels: AWS
>
> Would it be possible to orchestrate an end to end AWSÂ Sagemaker job using
> Airflow.
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