virtualenv

"""
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
import os


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

os.environ["PATH"] = f"/usr/local/airflow/.local/bin:{os.environ['PATH']}"


class VirtualPythonPlugin(AirflowPlugin):
    name = 'virtual_python_plugin'

from datetime import timedelta

from airflow import DAG

from airflow.operators.python import PythonVirtualenvOperator

from airflow.utils.dates import days_ago


default_args = {
    "retries": 3,
    "retry_delay": timedelta(seconds=10),
    "execution_timeout": timedelta(minutes=60),
}

def metadata_ingestion_workflow():
    from metadata.workflow.metadata import MetadataWorkflow


    import yaml

    config = """
YAML config
    """
    workflow_config = yaml.safe_load(config)
    workflow = MetadataWorkflow.create(workflow_config)
    workflow.execute()
    workflow.raise_from_status()
    workflow.print_status()
    workflow.stop()

with DAG(
    "redshift_ingestion",
    default_args=default_args,
    description="An example DAG which runs a OpenMetadata ingestion workflow",
    start_date=days_ago(1),
    is_paused_upon_creation=False,
    catchup=False,
) as dag:
    ingest_task = PythonVirtualenvOperator(
        task_id="ingest_redshift",
        python_callable=metadata_ingestion_workflow,
        requirements=['openmetadata-ingestion[redshift]~=1.13.0',
            'apache-airflow==2.4.3',  # note, v2.4.3 is the first version that does not conflict with OpenMetadata's 'tabulate' requirements
            'apache-airflow-providers-amazon==6.0.0',  # Amazon Airflow provider is necessary for MWAA
            'watchtower',],
        system_site_packages=False,
        dag=dag,
    )

import yaml

from metadata.workflow.metadata import MetadataWorkflow

def run():
    workflow_config = yaml.safe_load(CONFIG)
    workflow = MetadataWorkflow.create(workflow_config)
    workflow.execute()
    workflow.raise_from_status()
    workflow.print_status()
    workflow.stop()