airflow python 源码
airflow python 代码
文件路径：/airflow/sensors/python.py
#
# 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__ import annotations
from typing import Any, Callable, Mapping, Sequence
from airflow.sensors.base import BaseSensorOperator
from airflow.utils.context import Context, context_merge
from airflow.utils.operator_helpers import determine_kwargs
class PythonSensor(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.
"""
template_fields: Sequence[str] = ('templates_dict', 'op_args', 'op_kwargs')
def __init__(
self,
*,
python_callable: Callable,
op_args: list | None = None,
op_kwargs: Mapping[str, Any] | None = None,
templates_dict: dict | None = None,
**kwargs,
):
super().__init__(**kwargs)
self.python_callable = python_callable
self.op_args = op_args or []
self.op_kwargs = op_kwargs or {}
self.templates_dict = templates_dict
def poke(self, context: Context) -> bool:
context_merge(context, self.op_kwargs, templates_dict=self.templates_dict)
self.op_kwargs = determine_kwargs(self.python_callable, self.op_args, context)
self.log.info("Poking callable: %s", str(self.python_callable))
return_value = self.python_callable(*self.op_args, **self.op_kwargs)
return bool(return_value)
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