Introduction à Apache Airflow en Python
Mike Metzger
Data Engineer

on_failure_callback - Échec du DAG / de la tâcheon_success_callback - Réussite du DAG / de la tâcheon_retry_callbackon_skipped_callbackon_execute_callback
contextcontext contient des infos sur le DAG / la tâchecontext["dag"].dag_id - Nom du DAGcontext["task_instance"].task_id - Nom de la tâchecontext["logical_date"] - Date de l’exécution du DAGcontextdef 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 - Envoie des alertes par e-mailSlackNotifier - Publie des messages sur un canal Slack
airflow.providers.smtp.notifications.smtpfrom_email et tosubject, html_content, etc.@dag(dag_id=`sales_etl_dag`,
on_failure_callback=SmtpNotifier(
to='[email protected]',
from_email='[email protected]',
subject='Dag sales_etl_dag has failed'
)
)

Introduction à Apache Airflow en Python