[GitHub] [airflow] jedcunningham commented on a diff in pull request #22562: Adding sensor decorator

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

jedcunningham commented on code in PR #22562:
URL: https://github.com/apache/airflow/pull/22562#discussion_r850047503


##########
airflow/example_dags/example_sensor_decorator.py:
##########
@@ -0,0 +1,49 @@
+#
+# 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 DAG demonstrating the usage of the sensor decorator."""
+
+# [START tutorial]
+import pendulum
+
+from airflow.decorators import dag, task
+from airflow.sensors.base import PokeReturnValue
+
+
+@dag(
+    schedule_interval=None,
+    start_date=pendulum.datetime(2021, 1, 1, tz="UTC"),
+    catchup=False,
+    tags=['example'],
+)
+def example_sensor_decorator():
+
+    # Using a sensor operator to wait for the upstream data to be ready.
+    @task.sensor(poke_interval=60, timeout=3600, mode="reschedule")
+    def wait_for_upstream() -> PokeReturnValue:
+        return PokeReturnValue(is_done=True, xcom_value="xcom_value")
+
+    @task
+    def dummy_operator() -> None:
+        pass
+
+    wait_for_upstream() >> dummy_operator()
+
+
+tutorial_etl_dag = example_sensor_decorator()
+# [START tutorial]

Review Comment:
   ```suggestion
   # [END tutorial]
   ```



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