blob: 562c7d2b60e2014933fa5e456796b9a8c0d3cc61 [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 __future__ import annotations
from datetime import datetime
from typing import Sequence
from airflow import DAG, Dataset
from airflow.operators.empty import EmptyOperator
DEFAULT_DATE = datetime(2016, 1, 1)
default_args = {
"owner": "airflow",
"start_date": DEFAULT_DATE,
}
dag = DAG(dag_id="test_only_empty_tasks", default_args=default_args, schedule='@once')
class MyEmptyOperator(EmptyOperator):
template_fields_renderers = {"body": "json"}
template_fields: Sequence[str] = ("body",)
def __init__(self, body, *args, **kwargs):
super().__init__(*args, **kwargs)
self.body = body
with dag:
task_a = EmptyOperator(task_id="test_task_a")
task_b = EmptyOperator(task_id="test_task_b")
task_a >> task_b
MyEmptyOperator(task_id="test_task_c", body={"hello": "world"})
EmptyOperator(task_id="test_task_on_execute", on_execute_callback=lambda *args, **kwargs: None)
EmptyOperator(task_id="test_task_on_success", on_success_callback=lambda *args, **kwargs: None)
EmptyOperator(task_id="test_task_outlets", outlets=[Dataset("hello")])