Creazione di un plugin personalizzato per Apache Airflow PythonVirtualenvOperator

Nel prompt dei comandi, accedi alla plugins directory precedente. Per esempio:

cd plugins

Copiate il contenuto del seguente esempio di codice e salvatelo localmente con nome. 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'

Nel prompt dei comandi, accedete alla plugins directory precedente. Per esempio:

cd plugins

Copiate il contenuto del seguente esempio di codice e salvatelo localmente con nome. 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'          

Nel prompt dei comandi, accedete alla directory in cui è memorizzato il codice DAG. Per esempio:

cd dags

Copiate il contenuto del seguente esempio di codice e salvatelo localmente con nome. 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,
    )
    

Nel prompt dei comandi, accedete alla directory in cui è memorizzato il codice DAG. Per esempio:

cd dags

Copiate il contenuto del seguente esempio di codice e salvatelo localmente con nome. 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,
    )