Metadata-Version: 2.1
Name: bigeye-airflow
Version: 0.0.23
Summary: Airflow operators to be used with Bigeye
Home-page: https://github.com/torodata/toro-airflow
Author: Bigeye
Author-email: support@bigeye.com
License: UNKNOWN
Description: # bigeye-airflow
        Airflow operators to interact with Bigeye API.
        
        ## The Test Environment
        [Astronomer](astronomer.io) 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.
        
        ```shell
        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:
            ![Admin Menu - Connections](docs/images/astronomer_connections_1.png "Admin Menu - 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.
            ![Admin Menu - Connections](docs/images/astronomer_connections_2.png "Admin Menu - Connections") 
        
        ### Testing Metric Creation:  
        Testing in a DAG runtime can be achieved by altering the test dag: 
        [test_create_metrics_dag.py](https://github.com/bigeyedata/bigeye-airflow/blob/main/astro/dags/test_create_metrics_dag.py)
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
