apache-airflow-providers-anomalo 0.2.1

An Apache Airflow provider for Anomalo

Apache Airflow Provider for Anomalo

A set of native Airflow operators for Anomalo

Compatibility

These operators were created and tested with

• Python 3.8-3.10
• Airflow 2.3+
• Anomalo python client 0.0.7

Installation

pip install apache-airflow-providers-anomalo

You can validate that it is correctly installed by running airflow providers list on the command line and seeing if apache-airflow-providers-anomalo is a listed providers package.

Airflow Setup

From the airflow UI, go to Admin > Connections and hit the + button at the top to add a new connection.

From the "Connection Type" drop down, select "Anomalo". Then fill in the fields for "Connection Id" (anomalo-default is the default connection id), "Host", and "API Secret Token".

Usage

1. Obtain Anomalo table name from GUI. For example would be public-bq.covid19_nyt.us_counties

2. This package includes 3 different operators. You can find documentation for them on the operator code itself.

   1. Run checks Operator: airflow.providers.anomalo.operators.anomalo.AnomaloRunCheckOperator
   2. Job Sensor airflow.providers.anomalo.sensors.anomalo.AnomaloJobCompleteSensor
   3. Validate table checks: airflow.providers.anomalo.operators.anomalo.AnomaloPassFailOperator

3. See anomalo_dag_example.py for usage example

Releasing to PyPi

To release a new version to PyPi, you will need to

1. Configure your pypi token by running: poetry config pypi-token.pypi [token here] The token can be found in the AWS secrets manager
2. Bump the version number in pyproject.toml. Make sure that this change is committed.
3. run poetry publish --build