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Posted to commits@airflow.apache.org by GitBox <gi...@apache.org> on 2022/03/07 19:27:49 UTC

[GitHub] [airflow] hsrocks commented on a change in pull request #21863: Add Quicksight create ingestion Hook and Operator

hsrocks commented on a change in pull request #21863:
URL: https://github.com/apache/airflow/pull/21863#discussion_r821032876



##########
File path: airflow/providers/amazon/aws/hooks/quicksight.py
##########
@@ -0,0 +1,145 @@
+#
+# 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.
+
+import time
+from typing import Optional
+
+from botocore.exceptions import ClientError
+
+from airflow import AirflowException
+from airflow.providers.amazon.aws.hooks.base_aws import AwsBaseHook
+
+
+class QuickSightHook(AwsBaseHook):
+    """
+    Interact with Amazon QuickSight.
+
+    Additional arguments (such as ``aws_conn_id``) may be specified and
+    are passed down to the underlying AwsBaseHook.
+    .. seealso::
+    :class:`~airflow.providers.amazon.aws.hooks.base_aws.AwsBaseHook`
+    """
+
+    def __init__(self, *args, **kwargs):
+        super().__init__(client_type="quicksight", *args, **kwargs)
+
+    def create_ingestion(
+        self,
+        data_set_id: str,
+        ingestion_id: str,
+        aws_account_id: str,
+        ingestion_type: str,
+        wait_for_completion: bool = True,
+        check_interval: int = 30,
+        max_ingestion_time: Optional[int] = None,
+    ):
+        """
+        Creates and starts a new SPICE ingestion for a dataset. Refreshes the SPICE datasets
+
+        :param data_set_id:  ID of the dataset used in the ingestion.
+        :param ingestion_id: ID for the ingestion.
+        :param aws_account_id: Amazon Web Services account ID.
+        :param ingestion_type: Type of ingestion . "INCREMENTAL_REFRESH"|"FULL_REFRESH"
+        :param wait_for_completion: if the program should keep running until job finishes
+        :param check_interval: the time interval in seconds which the operator
+            will check the status of QuickSight Ingestion
+        :param max_ingestion_time: the maximum ingestion time in seconds. If QuickSight ingestion runs
+         longer than this will fail. Setting this to None implies no timeout for Ingestion.
+         :return: Returns descriptive information about the created data ingestion
+         having Ingestion ARN, HTTP status,
+         ingestion ID and ingestion status.
+        :rtype: Dict
+        """
+        self.log.info('Creating QuickSight Ingestion for data set id %s.', data_set_id)
+        quicksight_client = self.get_conn()
+        try:
+            create_ingestion_response = quicksight_client.create_ingestion(
+                DataSetId=data_set_id,
+                IngestionId=ingestion_id,
+                AwsAccountId=aws_account_id,
+                IngestionType=ingestion_type,
+            )
+            if wait_for_completion:
+                self.check_status(
+                    aws_account_id=aws_account_id,
+                    ingestion_id=ingestion_id,
+                    data_set_id=data_set_id,
+                    check_interval=check_interval,
+                    max_ingestion_time=max_ingestion_time,
+                )
+            return create_ingestion_response
+        except Exception as general_error:
+            self.log.error("Failed to run QuickSight create_ingestion API, error: %s", general_error)
+            raise
+
+    def check_status(
+        self,
+        aws_account_id: str,
+        ingestion_id: str,
+        data_set_id: str,
+        check_interval: int,
+        max_ingestion_time: Optional[int] = None,

Review comment:
       Thanks ! Have done the changes . Appreciate the suggestion




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