akashsriv07 commented on code in PR #37223: URL: https://github.com/apache/airflow/pull/37223#discussion_r1499362176
########## airflow/providers/google/cloud/sensors/dataprocgdc.py: ########## @@ -0,0 +1,127 @@ +# +# 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 __future__ import annotations + +from functools import cached_property +from typing import TYPE_CHECKING, Sequence + +from kubernetes import client + +from airflow.exceptions import AirflowException, AirflowSkipException +from airflow.providers.cncf.kubernetes.hooks.kubernetes import KubernetesHook +from airflow.sensors.base import BaseSensorOperator + +if TYPE_CHECKING: + from airflow.utils.context import Context + + +class DataprocGDCKrmSensor(BaseSensorOperator): Review Comment: I thought around that, however the response states in GDC is different from the ones in spark Kubernetes application mentioned by you. ########## tests/system/providers/google/cloud/dataprocgdc/example_dataprocgdc.py: ########## @@ -0,0 +1,77 @@ +# +# 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. +""" +Example Airflow DAG that shows how to create and monitor a Spark Application or App Environment + in a DPGDC cluster +""" + +from __future__ import annotations + +from datetime import datetime + +from airflow import DAG +from airflow.providers.google.cloud.operators.dataprocgdc import ( + DataprocGdcCreateAppEnvironmentKrmOperator, + DataprocGDCSubmitSparkJobKrmOperator, +) +from airflow.providers.google.cloud.sensors.dataprocgdc import DataprocGDCKrmSensor + +DAG_ID = "example_dag_dpgdc-krm" + +with DAG( Review Comment: Yes. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: commits-unsubscr...@airflow.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
