Welcome to dag-factory! dag-factory is a library for Apache Airflow® to construct DAGs declaratively via configuration files.
The minimum requirements for dag-factory are:
- Python 3.8.0+
- Apache Airflow® 2.0+
For a gentle introduction, please take a look at our Quickstart Guide. For more examples, please see the examples folder.
- Construct DAGs without knowing Python
- Construct DAGs without learning Airflow primitives
- Avoid duplicative code
- Everyone loves YAML! ;)
If you want to split your DAG configuration into multiple files, you can do so by leveraging a suffix in the configuration file name.
from dagfactory import load_yaml_dags # load relevant YAML files as airflow DAGs
load_yaml_dags(globals_dict=globals(), suffix=['dag.yaml'])
dag-factory supports using custom operators. To leverage, set the path to the custom operator within the operator
key in the configuration file. You can add any additional parameters that the custom operator requires.
...
tasks:
begin:
operator: airflow.operators.dummy_operator.DummyOperator
make_bread_1:
operator: customized.operators.breakfast_operators.MakeBreadOperator
bread_type: 'Sourdough'
The package airflow.providers.http.sensors.http
is available for Airflow 2.0+
The following example shows response_check
logic in a python file:
task_2:
operator: airflow.providers.http.sensors.http.HttpSensor
http_conn_id: 'test-http'
method: 'GET'
response_check_name: check_sensor
response_check_file: /path/to/example1/http_conn.py
dependencies: [task_1]
The response_check
logic can also be provided as a lambda:
task_2:
operator: airflow.providers.http.sensors.http.HttpSensor
http_conn_id: 'test-http'
method: 'GET'
response_check_lambda: 'lambda response: "ok" in response.text'
dependencies: [task_1]
To learn more about the terms and conditions for use, reproduction and distribution, read the Apache License 2.0.
This project follows Astronomer's Privacy Policy.
For further information, read this
Check the project's Security Policy to learn how to report security vulnerabilities in DAG Factory and how security issues reported to the DAG Factory security team are handled.