airflow.contrib.sensors.python_sensor
¶
Module Contents¶
-
class
airflow.contrib.sensors.python_sensor.
PythonSensor
(python_callable, op_args=None, op_kwargs=None, provide_context=False, templates_dict=None, *args, **kwargs)[source]¶ Bases:
airflow.sensors.base_sensor_operator.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 callingkwargs['templates_dict']['start_ds']
in the the callable- Parameters
python_callable (python callable) – A reference to an object that is callable
op_kwargs (dict) – a dictionary of keyword arguments that will get unpacked in your function
op_args (list) – a list of positional arguments that will get unpacked when calling your callable
provide_context (bool) – if set to true, Airflow will pass a set of keyword arguments that can be used in your function. This set of kwargs correspond exactly to what you can use in your jinja templates. For this to work, you need to define **kwargs in your function header.
templates_dict (dict of str) – a dictionary where the values are templates that will get templated by the Airflow engine sometime between
__init__
andexecute
takes place and are made available in your callable’s context after the template has been applied.