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        "description": "# marquez-airflow\n\n[![CircleCI](https://circleci.com/gh/MarquezProject/marquez-airflow/tree/master.svg?style=shield)](https://circleci.com/gh/MarquezProject/marquez-airflow/tree/master)\n\nA library that integrates Airflow DAGs with [Marquez](https://github.com/MarquezProject/marquez) for automatic metadata collection.\n\n## Status\n\nThis library is under active development at [The We Company](https://www.we.co).\n\n## Requirements\n\n - [Python 3.5.0](https://www.python.org/downloads)+\n - [Airflow 1.10.3](https://pypi.org/project/apache-airflow)+\n\n## Installation\n\n```bash\n$ pip install marquez-airflow\n```\n\nTo install from source run:\n\n```bash\n$ python setup.py install\n```\n \n ## Usage\n \n Once the library is installed in your system, your current DAGs need to be modified slightly by changing the import of `airflow.models.DAG` to `marquez.airflow.DAG`, see example below:\n \n```python\nfrom marquez_airflow import DAG\nfrom airflow.operators.dummy_operator import DummyOperator\n\n\nDAG_NAME = 'my_DAG_name'\n\ndefault_args = {\n    'marquez_location': 'github://data-dags/dag_location/',\n    'marquez_input_urns': [\"s3://some_data\", \"s3://more_data\"],\n    'marquez_output_urns': [\"s3://output_data\"],\n    \n    'owner': ...,\n    'depends_on_past': False,\n    'start_date': ...,\n}\n\ndag = DAG(DAG_NAME, schedule_interval='*/10 * * * *',\n          default_args=default_args, description=\"yet another DAG\")\n\nrun_this = DummyOperator(task_id='run_this', dag=dag)\nrun_this_too = DummyOperator(task_id='run_this_too', dag=dag)\nrun_this_too.set_upstream(run_this)\n```\n\n## Contributing\n\nSee [CONTRIBUTING.md](https://github.com/MarquezProject/marquez-airflow/blob/master/CONTRIBUTING.md) for more details about how to contribute.",
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