Browse other questions tagged python airflow or ask your own question. The Overflow Blog Level Up: Mastering statistics with Python – part 2, Passing a function using op_kwargs (PythonVirtualOperator) in Airflow Dag. Ask Question Asked 10 months ago. Active 10 months ago. Viewed 146 times 0. I have a dag with two functions and I want to call one function in another in the dag. I tried two approaches: Approach 1: …
For airflow context variables make sure that you either have access to Airflow through setting system_site_packages to True or add apache-airflow to the requirements argument. Otherwise you won’t have access to the most context variables of Airflow in op_kwargs .
In addition, one can pass stuff through op_args and op_kwargs , and one can use a return value. Note that if your virtualenv runs in a different Python major version than Airflow , you cannot use return values, op_args, op_kwargs , or use any macros that are being provided to Airflow through plugins. You can use string_args though.
See virtualenv documentation for more information.:type system_site_packages: bool:param op_args: A list of positional arguments to pass to python_callable.:type op_kwargs: list:param op_kwargs: A dict of keyword arguments to pass to python_callable.:type op_kwargs: dict:param provide_context: if set to true, Airflow will pass a set of keyword …
op_kwargs (dict (templated)) – a dictionary of keyword arguments that will get unpacked in your function. op_args (list (templated)) – a list of positional arguments that will get unpacked when calling your callable. provide_context – 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 addition, one can pass stuff through op_args and op_kwargs, and one can use a return value. Note that if your virtualenv runs in a different Python major version than Airflow, you cannot use return values, op_args, op_kwargs, or use any macros that are being provided to Airflow through plugins.
from airflow.operators.python_operator import PythonOperator class MyPythonOperator(PythonOperator): template_fields = PythonOperator.template_fields + (‘op_args’, ‘op_kwargs’) and it worked like a charm.
The Airflow PythonOperator does exactly what you are looking for. It is a very simple but powerful operator, allowing you to execute a Python callable function from your DAG. … We replaced op_args by op_kwargs with a dictionary of key value pairs. Then, in my_func we get back the dictionary through the unpacking of kwargs with the two …
Apache Airflow AIRFLOW -6057 Add op_args and op_kwargs in PythonSensor templated fields
