Source code for airflow.sensors.python
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from typing import Callable, Dict, List, Optional
from airflow.sensors.base import BaseSensorOperator
from airflow.utils.decorators import apply_defaults
from airflow.utils.operator_helpers import determine_kwargs
[docs]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
:type python_callable: python callable
:param op_kwargs: a dictionary of keyword arguments that will get unpacked
in your function
:type op_kwargs: dict
:param op_args: a list of positional arguments that will get unpacked when
calling your callable
:type op_args: list
: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.
:type templates_dict: dict of str
"""
[docs] template_fields = ('templates_dict', 'op_args', 'op_kwargs')
@apply_defaults
def __init__(
self,
*,
python_callable: Callable,
op_args: Optional[List] = None,
op_kwargs: Optional[Dict] = None,
templates_dict: Optional[Dict] = 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
[docs] def poke(self, context: Dict):
context.update(self.op_kwargs)
context['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)