{"html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fhtn20190109.hatenablog.com%2Fentry%2F2023%2F11%2F12%2F224807\" title=\"Airflow DAG\u5358\u4f53\u30c6\u30b9\u30c8 - HTN20190109\u306e\u65e5\u8a18\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","image_url":null,"blog_url":"https://htn20190109.hatenablog.com/","url":"https://htn20190109.hatenablog.com/entry/2023/11/12/224807","height":"190","version":"1.0","published":"2023-11-12 22:48:07","width":"100%","blog_title":"HTN20190109\u306e\u65e5\u8a18","type":"rich","author_name":"HTN20190109","provider_url":"https://hatena.blog","title":"Airflow DAG\u5358\u4f53\u30c6\u30b9\u30c8","description":"https://takemikami.com/2021/12/05/AirflowDAG.html \u524d\u63d0: Airflow\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u6e08 pip install pytest mkdir -p dags tests cat -<<'EOF' > dags/dag01.py from datetime import datetimefrom airflow import DAGfrom airflow.operators.dummy import DummyOperator with DAG( 'dag01', start_date=datetime(2023, 11, 11), schedul\u2026","categories":["\u305d\u306e\u4ed6"],"author_url":"https://blog.hatena.ne.jp/HTN20190109/","provider_name":"Hatena Blog"}