ODD integration with Airflow
Project description
Open Data Discovery Airflow 2 Integrator
Airflow plugin which tracks DAGs, tasks, tasks runs and sends them to the platform since DAG is run via Airflow Listeners
Requirements
- Python >= 3.9
- Airflow >= 2.5.1
- Presence of an HTTP Connection with the name 'odd'. That connection must have a host property with yours platforms host(fill a port property if required) and a password field with platform collectors token. This connection MUST be represented before your scheduler is in run, we recommend using AWS Param store, Azure KV or similar backends.
Installation
The package must be installed alongside Airflow
poetry add odd-airflow2-integration
# or
pip install odd-airflow2-integration
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