Airflow operators to be used with Bigeye
Project description
bigeye-airflow
Airflow operators to interact with Bigeye API.
The Test Environment
Astronomer provides a local runtime for Airflow DAGs. This runtime is build from the Dockerfile in the astro folder. A startup bash script has been added, astro_dev, to facilitate the needed code copy into the astro environment.
Test environment is currently compatible with Python 3.6 and Airflow 1.10.7.
bash astro_dev start <-v 1>
bash astro_dev stop <-v 1>
bash astro_dev restart <-v 1>
Credentials Setup
-
Go to the Admin menu and choose Connections:
-
Fill out the form for an HTTP connection using the appropriate Host, User and Pass. The current test Dags use 'bigeye_connection' as a connection_id for basic auth to the Bigeye API.
Testing Metric Creation:
Testing in a DAG runtime can be achieved by altering the test dag: test_create_metrics_dag.py
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for bigeye_airflow-0.0.26-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d8d7c399dcc9ab8d7f2204c67a730b1b0a3e6e1b15a7de1ebcd03914dfbe1d99 |
|
MD5 | e7d8f32e4a58c05c404415029c5274e2 |
|
BLAKE2b-256 | 72501f32d48e318a5c80f5d605223928b5d9c7de15267793b3d2ca6bae72cab7 |