[GitHub] [airflow] kaxil commented on a diff in pull request #22808: Add example DAG for demonstrating usage of GCS sensors

[GitBox <gi...@apache.org>]

kaxil commented on code in PR #22808:
URL: https://github.com/apache/airflow/pull/22808#discussion_r845012678


##########
airflow/example_dags/example_gcs.py:
##########
@@ -0,0 +1,74 @@
+#
+# 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.
+
+"""
+This is an example dag for demonstrating usage of GCS sensors.
+"""
+import os
+from datetime import timedelta
+
+import pendulum
+
+from airflow import DAG
+from airflow.providers.google.cloud.sensors.gcs import GCSUploadSessionCompleteSensor, GCSObjectUpdateSensor
+
+TEST_BUCKET = os.getenv("GCP_TEST_BUCKET", "test-gcs-bucket")
+GCP_CONN_ID = os.getenv("GCP_CONN_ID", "google_cloud_default")
+
+# Upload example_test.txt in the <TEST_BUCKET> after triggering the DAG.
+BUCKET_FILE_LOCATION = "example_test.txt"
+
+# This is the upload file name prefix the sensor will be waiting for.
+PATH_TO_UPLOAD_FILE_PREFIX = "example_"
+
+DEFAULT_ARGS = {
+    "execution_timeout": timedelta(minutes=30),
+}
+
+with DAG(
+    "example_gcs_sensors",
+    start_date=pendulum.datetime(2021, 1, 1, tz="UTC"),
+    schedule_interval=None,
+    catchup=False,
+    default_args=DEFAULT_ARGS,
+    tags=["example", "gcs"],
+) as dag:

Review Comment:
   ```suggestion
   with DAG(
       "example_gcs_sensors",
       start_date=pendulum.datetime(2021, 1, 1, tz="UTC"),
       schedule_interval=None,
       catchup=False,
       default_args={
           "execution_timeout": timedelta(minutes=30),
       },
       tags=["example", "gcs"],
   ) as dag:
   ```



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