blob: dac9fa4871067ee10debc3fdcd6eccdc13666528 [file] [log] [blame]
#
# 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 datetime import datetime
from airflow.models import DAG
from airflow.operators.dummy import DummyOperator
DEFAULT_DATE = datetime(2016, 1, 1)
default_args = {
"owner": "airflow",
"start_date": DEFAULT_DATE,
}
dag = DAG(dag_id="test_only_dummy_tasks", default_args=default_args, schedule_interval='@once')
class MyDummyOperator(DummyOperator):
template_fields_renderers = {"body": "json"}
template_fields = ("body",)
def __init__(self, body, *args, **kwargs):
super().__init__(*args, **kwargs)
self.body = body
with dag:
task_a = DummyOperator(task_id="test_task_a")
task_b = DummyOperator(task_id="test_task_b")
task_a >> task_b
task_c = MyDummyOperator(task_id="test_task_c", body={"hello": "world"})
task_d = DummyOperator(task_id="test_task_on_execute", on_execute_callback=lambda *args, **kwargs: 1)
task_e = DummyOperator(task_id="test_task_on_success", on_success_callback=lambda *args, **kwargs: 1)