Introdução ao Apache Airflow em Python
Mike Metzger
Data Engineer

on_failure_callback - Dag/tarefa falhouon_success_callback - Dag/tarefa teve sucessoon_retry_callbackon_skipped_callbackon_execute_callback
context automaticamentecontext traz infos do Dag/tarefacontext["dag"].dag_id - Nome do Dagcontext["task_instance"].task_id - Nome da tarefacontext["logical_date"] - Data da execução do 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 - Envia alertas por e-mailSlackNotifier - Publica no canal do Slack
airflow.providers.smtp.notifications.smtpfrom_email e 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'
)
)

Introdução ao Apache Airflow em Python