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1. Airflow python operator how to#
2. Airflow python operator software#
3. Airflow python operator code#
4. Airflow python operator license#

code-block:: python def my_python_callable(ti, next_ds): pass With kwargs.

Airflow python operator code#

For this to work, you need to define ``**kwargs`` in your function header, or you can add directly the keyword arguments you would like to get - for example with the below code your callable will get the values of ``ti`` and ``next_ds`` context variables. This set of kwargs correspond exactly to what you can use in your jinja templates.

Airflow python operator how to#

seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:PythonOperator` When running your callable, Airflow will pass a set of keyword arguments that can be used in your function. class PythonOperator ( BaseOperator ): """ Executes a Python callable. Please use the following instead from corators import task def my_task()""", RemovedInAirflow3Warning, stacklevel = 2, ) return python_task ( python_callable = python_callable, multiple_outputs = multiple_outputs, ** kwargs ) :return: """ # To maintain backwards compatibility, we import the task object into this file # This prevents breakages in dags that use `from import task` from import python_task warnings. Dict will unroll to xcom values with keys as keys. Please use the following instead: from corators import task def my_task() :param python_callable: A reference to an object that is callable :param op_kwargs: a dictionary of keyword arguments that will get unpacked in your function (templated) :param op_args: a list of positional arguments that will get unpacked when calling your callable (templated) :param multiple_outputs: if set, function return value will be unrolled to multiple XCom values. Calls and allows users to turn a python function into an Airflow task. def task ( python_callable : Callable | None = None, multiple_outputs : bool | None = None, ** kwargs ): """ Deprecated function. from _future_ import annotations import inspect import os import pickle import shutil import subprocess import sys import types import warnings from abc import ABCMeta, abstractmethod from collections.abc import Container from pathlib import Path from tempfile import TemporaryDirectory from textwrap import dedent from typing import Any, Callable, Collection, Iterable, Mapping, Sequence import dill from airflow.exceptions import ( AirflowConfigException, AirflowException, AirflowSkipException, RemovedInAirflow3Warning, ) from import BaseOperator from import SkipMixin from import _CURRENT_CONTEXT from import Context, context_copy_partial, context_merge from _helpers import KeywordParameters from _utils import execute_in_subprocess from _virtualenv import prepare_virtualenv, write_python_script

Airflow python operator license#

See the License for the # specific language governing permissions and limitations # under the License.

Airflow python operator software#

You may obtain a copy of the License at # 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. 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. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership.

# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements.