Monitoring

from airflow import DAG
from airflow.operators.bash import BashOperator
from airflow.operators.python import PythonOperator
from datetime import datetime


def myfunction():
    pass

with DAG(dag_id="6.1-monitoring",
        description="Monitoreando nuestro DAG",
        schedule_interval="@daily",
        start_date=datetime(2022, 1, 1),
        end_date=datetime(2022, 2, 1)) as dag:


    t1 = BashOperator(task_id="tarea1",
                    bash_command="sleep 2 && echo 'Primera tarea!'")

    t2 = BashOperator(task_id="tarea2",
                    bash_command="sleep 2 && echo 'Segunda tarea!'")

    t3 = BashOperator(task_id="tarea3",
                    bash_command="sleep 2 && echo 'Tercera tarea!'")

    t4 = PythonOperator(task_id="tarea4",
                    python_callable=myfunction)

    t5 = BashOperator(task_id="tarea5",
                    bash_command="sleep 2 && echo 'Quinta tarea!'")


    t1 >> t2 >> t3 >> t4 >> t5

Aunque no lo parezca, esta es una de las clases más importantes. De nada sirve saber como construir Operators y orquestar DAG's si cuando algo falla no lo sabemos solventar ~