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"""Example DAG demonstrating the usage of the BranchPythonOperator."""
from __future__ import annotations
import random
import pendulum
from airflow import DAG
from airflow.operators.empty import EmptyOperator
from airflow.operators.python import BranchPythonOperator
from airflow.utils.edgemodifier import Label
from airflow.utils.trigger_rule import TriggerRule
with DAG(
dag_id="example_branch_operator",
start_date=pendulum.datetime(2021, 1, 1, tz="UTC"),
catchup=False,
schedule="@daily",
tags=["example", "example2"],
) as dag:
run_this_first = EmptyOperator(
task_id="run_this_first",
)
options = ["branch_a", "branch_b", "branch_c", "branch_d"]
branching = BranchPythonOperator(
task_id="branching",
python_callable=lambda: random.choice(options),
)
run_this_first >> branching
join = EmptyOperator(
task_id="join",
trigger_rule=TriggerRule.NONE_FAILED_MIN_ONE_SUCCESS,
)
for option in options:
t = EmptyOperator(
task_id=option,
)
empty_follow = EmptyOperator(
task_id="follow_" + option,
)
# Label is optional here, but it can help identify more complex branches
branching >> Label(option) >> t >> empty_follow >> join