## 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.from__future__importannotationsfromtypingimportTYPE_CHECKING,Any,Callable,Mapping,Sequencefromairflow.sensors.baseimportBaseSensorOperator,PokeReturnValuefromairflow.utils.contextimportcontext_mergefromairflow.utils.operator_helpersimportdetermine_kwargsifTYPE_CHECKING:fromairflow.utils.contextimportContext
[docs]classPythonSensor(BaseSensorOperator):""" Waits for a Python callable to return True. User could put input argument in templates_dict e.g ``templates_dict = {'start_ds': 1970}`` and access the argument by calling ``kwargs['templates_dict']['start_ds']`` in the callable :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 :param op_args: a list of positional arguments that will get unpacked when calling your callable :param templates_dict: a dictionary where the values are templates that will get templated by the Airflow engine sometime between ``__init__`` and ``execute`` takes place and are made available in your callable's context after the template has been applied. .. seealso:: For more information on how to use this sensor, take a look at the guide: :ref:`howto/operator:PythonSensor` """