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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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| # | ||
| # 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 TaskFlow API to execute Python functions natively and within a | ||
| virtual environment. | ||
| """ | ||
| from __future__ import annotations | ||
|
|
||
| import logging | ||
| import sys | ||
| import time | ||
| from pprint import pprint | ||
|
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| import pendulum | ||
|
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| from airflow.decorators import dag, task | ||
| from airflow.operators.python import is_venv_installed | ||
|
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| log = logging.getLogger(__name__) | ||
|
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| PATH_TO_PYTHON_BINARY = sys.executable | ||
|
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|
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| @dag( | ||
| schedule=None, | ||
| start_date=pendulum.datetime(2021, 1, 1, tz="UTC"), | ||
| catchup=False, | ||
| tags=["example"], | ||
| ) | ||
| def example_python_decorator(): | ||
| # [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" | ||
|
|
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| run_this = print_context() | ||
| # [END howto_operator_python] | ||
|
|
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| # [START howto_operator_python_render_sql] | ||
| @task(task_id="log_sql_query", templates_dict={"query": "sql/sample.sql"}, templates_exts=[".sql"]) | ||
| def log_sql(**kwargs): | ||
| logging.info("Python task decorator query: %s", str(kwargs["templates_dict"]["query"])) | ||
|
|
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| log_the_sql = log_sql() | ||
| # [END howto_operator_python_render_sql] | ||
|
|
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| # [START howto_operator_python_kwargs] | ||
| # Generate 5 sleeping tasks, sleeping from 0.0 to 0.4 seconds respectively | ||
| @task | ||
| def my_sleeping_function(random_base): | ||
| """This is a function that will run within the DAG execution""" | ||
| time.sleep(random_base) | ||
|
|
||
| for i in range(5): | ||
| sleeping_task = my_sleeping_function.override(task_id=f"sleep_for_{i}")(random_base=i / 10) | ||
|
|
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| run_this >> log_the_sql >> sleeping_task | ||
| # [END howto_operator_python_kwargs] | ||
|
|
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| if not is_venv_installed(): | ||
| 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 | ||
|
|
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| from colorama import Back, Fore, Style | ||
|
|
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| 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(4): | ||
| print(Style.DIM + "Please wait...", flush=True) | ||
| sleep(1) | ||
| print("Finished") | ||
|
|
||
| virtualenv_task = callable_virtualenv() | ||
| # [END howto_operator_python_venv] | ||
|
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| sleeping_task >> virtualenv_task | ||
|
|
||
| # [START howto_operator_external_python] | ||
| @task.external_python(task_id="external_python", python=PATH_TO_PYTHON_BINARY) | ||
| def callable_external_python(): | ||
| """ | ||
| 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. | ||
| """ | ||
| import sys | ||
| from time import sleep | ||
|
|
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| print(f"Running task via {sys.executable}") | ||
| print("Sleeping") | ||
| for _ in range(4): | ||
| print("Please wait...", flush=True) | ||
| sleep(1) | ||
| print("Finished") | ||
|
|
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| external_python_task = callable_external_python() | ||
| # [END howto_operator_external_python] | ||
|
|
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| run_this >> external_python_task >> virtualenv_task | ||
|
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|
|
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| example_python_decorator() |
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