Airflow API payload as input to python script
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Sure, I can provide you with a tutorial on how to use the Apache Airflow API to pass payloads as input to a Python script. Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The Airflow API allows you to interact with and control your Airflow instance programmatically.
In this tutorial, we'll cover the following steps:
Make sure you have Apache Airflow installed. You can install it using pip:
Initialize the Airflow database:
Start the Airflow web server and scheduler:
Create a Python script that will be executed by Airflow. Let's call it my_script.py. This script should accept input parameters. For example:
Create an Airflow DAG that will execute the Python script with the specified arguments. Let's call it my_dag.py:
Now, you can use the Airflow API to trigger the DAG with a payload. You can use a tool like curl or a programming language library (e.g., Python requests) to make an API call.
This API call triggers the my_dag DAG with the specified payload.
That's it! You've set up Apache Airflow, created a Python script, defined a DAG, and triggered it using the Airflow API with a payload. This example demonstrates a simple case, and you can customize it based on your specific requirements.
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