I’m trying to make a DAG with params that can be triggered with a dag_id/task_id. The goal of this DAG is to set the state of the last executed task to “success” and to continue the pipeline from this point.
exemple of pipeline:
In my dag I want to be able to set “run_that” to success and automatically run “run_them” as a result of the new state change.
Here is what I did from now:
import airflow
from airflow.models import DagRun, TaskInstance, DagBag
from airflow.operators.dagrun_operator import TriggerDagRunOperator
from airflow.utils.trigger_rule import TriggerRule
from airflow.utils.state import State
from airflow.operators.python_operator import PythonOperator
import pendulum
from wrapper import ScriptLauncher, handleErrorSlack, handleErrorMail
from datetime import timedelta, datetime
default_args = {
'owner': 'tozzi',
'depends_on_past': False,
'start_date': pendulum.datetime(2022, 12, 19, tz='Europe/Paris'),
'retries': 0,
'retry_delay': timedelta(minutes=5),
'xcom_push': True,
'catchup': False,
'params': {
'dag_id': 'my_dag',
'task_id': 'run_that',
}
}
def last_exec(dag_id, task_id, session):
task_instances = (
session.query(TaskInstance)
.filter(TaskInstance.dag_id == dag_id, TaskInstance.task_id == task_id)
.all()
)
task_instances.sort(key=lambda x: x.execution_date, reverse=True)
if task_instances:
return task_instances[0]
return None
def set_last_task_success(**kwargs):
dag_id = kwargs['dag_id']
task_id = kwargs['task_id']
session = airflow.settings.Session()
task_instance = last_exec(dag_id, task_id, session)
if (task_instance is not None):
task_instance.state = 'success'
# task_instance = TaskInstance(task_id=task_id, execution_date=last_task_instance.execution_date)
task_instance.run(session=session, ignore_ti_state=True, ignore_task_deps=True)
session.commit()
session.close()
doc_md=f"""## Set the given task_id to success of the given dag_id"""
# launched remotely
launcher = ScriptLauncher(default_args, "@once", 'set_task_to_success', ['airflow'], doc_md)
dag = launcher.dag;
set_to_success = PythonOperator(
task_id='set_to_success',
provide_context=True,
python_callable=set_last_task_success,
dag=dag,
op_kwargs={
'dag_id': '{{ params.dag_id }}',
'task_id': '{{ params.task_id }}',
}
)
The task_instance.run(...) call fail here with this error : “AttributeError: ‘TaskInstance’ object has no attribute ‘task'”, the state change is correctly working tho. What should I change so it rerun the “run_them” task when I change the state of the “run_that” task?
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Answer
As of Airflow 2.5.0 you can update the state of any existing task via the Airflow REST API.
