Delete example_python_operator.py

example_python_operator.py

-#
-# 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 PythonOperator."""
-
-import time
-from pprint import pprint
-
-from airflow.models import DAG
-from airflow.operators.python import PythonOperator, PythonVirtualenvOperator
-from airflow.utils.dates import days_ago
-
-args = {
-    'owner': 'wangzhaojun',
-    'start_date': days_ago(2),
-}
-
-dag = DAG(
-    dag_id='example_python_operator',
-    default_args=args,
-    schedule_interval=None,
-    tags=['example']
-)
-
-
-# [START howto_operator_python]
-def print_context(ds, **kwargs):
-    """Print the Airflow context and ds variable from the context."""
-    pprint(kwargs)
-    print(ds)
-    return 'Whatever you return gets printed in the logs'
-
-
-run_this = PythonOperator(
-    task_id='print_the_context',
-    python_callable=print_context,
-    dag=dag,
-)
-# [END howto_operator_python]
-
-
-# [START howto_operator_python_kwargs]
-def my_sleeping_function(random_base):
-    """This is a function that will run within the DAG execution"""
-    time.sleep(random_base)
-
-
-# Generate 5 sleeping tasks, sleeping from 0.0 to 0.4 seconds respectively
-for i in range(5):
-    task = PythonOperator(
-        task_id='sleep_for_' + str(i),
-        python_callable=my_sleeping_function,
-        op_kwargs={'random_base': float(i) / 10},
-        dag=dag,
-    )
-
-    run_this >> task
-# [END howto_operator_python_kwargs]
-
-
-def callable_virtualenv():
-    """
-    Example function that will be performed in a virtual environment.
-    Importing at the module level ensures that it will not attempt to import the
-    library before it is installed.
-    """
-    from colorama import Fore, Back, Style
-    from time import sleep
-    print(Fore.RED + 'some red text')
-    print(Back.GREEN + 'and with a green background')
-    print(Style.DIM + 'and in dim text')
-    print(Style.RESET_ALL)
-    for _ in range(10):
-        print(Style.DIM + 'Please wait...', flush=True)
-        sleep(10)
-    print('Finished')
-
-
-virtualenv_task = PythonVirtualenvOperator(
-    task_id="virtualenv_python",
-    python_callable=callable_virtualenv,
-    requirements=[
-        "colorama==0.4.0"
-    ],
-    system_site_packages=False,
-    dag=dag,
-)
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