arunangshu01 commented on PR #53079:
URL: https://github.com/apache/airflow/pull/53079#issuecomment-3057484534
```
from airflow.sdk import DAG
from airflow.providers.standard.operators.python import PythonOperator
from airflow.sdk import Variable
import pendulum
from datetime import timedelta
import time
import ast
default_args = {
'owner': 'airflow',
'retries': 5,
'retry_delay': timedelta(minutes=1),
}
def set_list_variable(**kwargs):
Variable.set('sample_list', str(list(range(1, 1500))))
def get_list():
val = Variable.get('sample_list', default='[1]')
return ast.literal_eval(val) if isinstance(val, str) else val
def iterator_task(i, **kwargs):
print(f"Processing item {i}, sleeping for 2 seconds")
time.sleep(2)
def iterator_task1(i, **kwargs):
print(f"Processing item {i}, sleeping for 2 seconds")
if isinstance(i, str):
raise Exception
time.sleep(2)
def final_task(**kwargs):
print("All iterator tasks are done.")
with DAG(
'dynamic_sequential_dag',
default_args=default_args,
description='DAG with variable-driven dynamic tasks (classic loop)',
schedule=None,
start_date=pendulum.datetime(2023, 1, 1, tz="UTC"),
catchup=False,
tags=['example'],
) as dag:
t1 = PythonOperator(
task_id='set_list_variable',
python_callable=set_list_variable,
)
t2 = PythonOperator(
task_id='task_2',
python_callable=iterator_task,
op_args=[2],
)
tasks = []
for i in eval(Variable.get('sample_list', default='["dummy"]')):
task = PythonOperator(
task_id=f'iterator_task_{i}',
python_callable=iterator_task1,
op_args=[i],
retries=5,
)
tasks.append(task)
t3 = PythonOperator(
task_id='final_task',
python_callable=final_task,
)
t1 >> t2 >> tasks >> t3
```
Here you go
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