Como criar um plug-in personalizado para PythonVirtualEnvOperator do Apache Airflow

Em seu prompt de comando, navegue até o diretório plugins acima. Por exemplo:

cd plugins

Copie o conteúdo da amostra de código a seguir e salve localmente como virtual_python_plugin.py.

"""
Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
 
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software is furnished to do so.
 
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
"""
from airflow.plugins_manager import AirflowPlugin
import airflow.utils.python_virtualenv 
from typing import List

def _generate_virtualenv_cmd(tmp_dir: str, python_bin: str, system_site_packages: bool) -> List[str]:
    cmd = ['python3','/usr/local/airflow/.local/lib/python3.7/site-packages/virtualenv', tmp_dir]
    if system_site_packages:
        cmd.append('--system-site-packages')
    if python_bin is not None:
        cmd.append(f'--python={python_bin}')
    return cmd

airflow.utils.python_virtualenv._generate_virtualenv_cmd=_generate_virtualenv_cmd

class VirtualPythonPlugin(AirflowPlugin):                
    name = 'virtual_python_plugin'

Em seu prompt de comando, navegue até o diretório plugins acima. Por exemplo:

cd plugins

Copie o conteúdo da amostra de código a seguir e salve localmente como virtual_python_plugin.py.

from airflow.plugins_manager import AirflowPlugin
from airflow.operators.python_operator import PythonVirtualenvOperator

def _generate_virtualenv_cmd(self, tmp_dir):
    cmd = ['python3','/usr/local/airflow/.local/lib/python3.7/site-packages/virtualenv', tmp_dir]
    if self.system_site_packages:
        cmd.append('--system-site-packages')
    if self.python_version is not None:
        cmd.append('--python=python{}'.format(self.python_version))
    return cmd
PythonVirtualenvOperator._generate_virtualenv_cmd=_generate_virtualenv_cmd

class EnvVarPlugin(AirflowPlugin):                
    name = 'virtual_python_plugin'          

No prompt de comando, navegue até o diretório em que o código do DAG está armazenado. Por exemplo:

cd dags

Copie o conteúdo da amostra de código a seguir e salve localmente como virtualenv_test.py.

"""
Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
 
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software is furnished to do so.
 
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
"""
from airflow import DAG
from airflow.operators.python import PythonVirtualenvOperator
from airflow.utils.dates import days_ago
import os

os.environ["PATH"] = os.getenv("PATH") + ":/usr/local/airflow/.local/bin"

def virtualenv_fn():
    import boto3
    print("boto3 version ",boto3.__version__)

with DAG(dag_id="virtualenv_test", schedule_interval=None, catchup=False, start_date=days_ago(1)) as dag:
    virtualenv_task = PythonVirtualenvOperator(
        task_id="virtualenv_task",
        python_callable=virtualenv_fn,
        requirements=["boto3>=1.17.43"],
        system_site_packages=False,
        dag=dag,
    )
    

No prompt de comando, navegue até o diretório em que o código do DAG está armazenado. Por exemplo:

cd dags

Copie o conteúdo da amostra de código a seguir e salve localmente como virtualenv_test.py.

"""
Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
 
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software is furnished to do so.
 
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
"""
from airflow import DAG
from airflow.operators.python_operator import PythonVirtualenvOperator
from airflow.utils.dates import days_ago
import os

os.environ["PATH"] = os.getenv("PATH") + ":/usr/local/airflow/.local/bin"

def virtualenv_fn():
    import boto3
    print("boto3 version ",boto3.__version__)

with DAG(dag_id="virtualenv_test", schedule_interval=None, catchup=False, start_date=days_ago(1)) as dag:
    virtualenv_task = PythonVirtualenvOperator(
        task_id="virtualenv_task",
        python_callable=virtualenv_fn,
        requirements=["boto3>=1.17.43"],
        system_site_packages=False,
        dag=dag,
    )