example_python_operator.py

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"""
Example DAG demonstrating the usage of the TaskFlow API to execute Python functions natively and within a
virtual environment.
"""
import logging
import shutil
import time
from pprint import pprint

import pendulum

from airflow import DAG
from airflow.decorators import task

log = logging.getLogger(__name__)

with DAG(
    dag_id='example_python_operator',
    schedule_interval=None,
    start_date=pendulum.datetime(2021, 1, 1, tz="UTC"),
    catchup=False,
    tags=['example'],
) as dag:
    # [START howto_operator_python]
    @task(task_id="print_the_context")
    def print_context(ds=None, **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 = print_context()
    # [END howto_operator_python]

    # [START howto_operator_python_kwargs]
    # Generate 5 sleeping tasks, sleeping from 0.0 to 0.4 seconds respectively
    for i in range(5):

        @task(task_id=f'sleep_for_{i}')
        def my_sleeping_function(random_base):
            """This is a function that will run within the DAG execution"""
            time.sleep(random_base)

        sleeping_task = my_sleeping_function(random_base=float(i) / 10)

        run_this >> sleeping_task
    # [END howto_operator_python_kwargs]

    if not shutil.which("virtualenv"):
        log.warning("The virtalenv_python example task requires virtualenv, please install it.")
    else:
        # [START howto_operator_python_venv]
        @task.virtualenv(
            task_id="virtualenv_python", requirements=["colorama==0.4.0"], system_site_packages=False
        )
        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 time import sleep

            from colorama import Back, Fore, Style

            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 = callable_virtualenv()
        # [END howto_operator_python_venv]