Airflow MCP

from airflow.decorators import dag, task from pendulum import datetime from airflow.datasets import Dataset import time @dag( dag_id="transform_inventory_optimization", max_active_runs=1, start_date=datetime(2023, 1, 1), is_paused_upon_creation=True, catchup=False, schedule_interval=( Dataset("transform_sales_aggregator") & Dataset("transform_customer_sentiment") ), ) def dag_test(): @task(outlets=[Dataset("transform_inventory_optimization")]) def end_task(): time.sleep(25) end_task() dag_test()