Einführung in Apache Airflow mit Python
Mike Metzger
Data Engineer

on_failure_callback – Dag‑Run/Task schlägt fehlon_success_callback – Dag‑Run/Task erfolgreichon_retry_callbackon_skipped_callbackon_execute_callback
context‑Dictionarycontext enthält Infos zum Dag‑Run/Taskcontext["dag"].dag_id – Name des Dagscontext["task_instance"].task_id – Name der Taskcontext["logical_date"] – Datum des Dag‑Runscontext akzeptierendef alert_on_failure(context):dag_id = context["dag"].dag_id task_id = context["task_instance"].task_id print(f"Task {task_id} in DAG {dag_id} has failed.")
def alert_on_failure(context): dag_id = context["dag"].dag_id task_id = context["task_instance"].task_id print(f"Task {task_id} in Dag {dag_id} has failed.")@dag(on_failure_callback=alert_on_failure) def sales_etl_dag(): @task() def data_import_task(): raise ValueError("Simulated failure")# Task data_import_task in Dag sales_etl_dag has failed.
SmtpNotifier – sendet E‑Mail‑AlertsSlackNotifier – postet in einen Slack‑Channel
airflow.providers.smtp.notifications.smtpfrom_email und tosubject, html_content, usw.@dag(dag_id=`sales_etl_dag`,
on_failure_callback=SmtpNotifier(
to='[email protected]',
from_email='[email protected]',
subject='Dag sales_etl_dag has failed'
)
)

Einführung in Apache Airflow mit Python