How to use my_task_2 method in locust

Best Python code snippet using locust

main.py

Source:main.py

1import time2from airflow import DAG3from airflow.operators.python import PythonOperator4from airflow.utils.dates import days_ago5from airflow.configuration import conf6from statsd import StatsClient7STATSD_HOST = conf.get("metrics", "statsd_host")8STATSD_PORT = conf.get("metrics", "statsd_port")9STATSD_PREFIX = conf.get("metrics", "statsd_prefix")10def task(run_time, **context):11    metric_name = f'dag.{context["dag"].dag_id}.{context["task"].task_id}.my_counter'12    client = StatsClient(host=STATSD_HOST, port=STATSD_PORT, prefix=STATSD_PREFIX)13    for i in range(0, run_time):14        time.sleep(1)15        client.incr(metric_name)16        print(i)17default_args = {18    'owner': 'airflow',19    'start_date': days_ago(5)20}21dag = DAG(22    'my_dag',23    default_args=default_args,24    description='',25    schedule_interval="*/2 * * * *",26    catchup=False27)28my_task_1 = PythonOperator(29    task_id='my_task',30    python_callable=task,31    op_args=[5],32    dag=dag,33    provide_context=True34)35my_task_2 = PythonOperator(36    task_id='my_task_2',37    python_callable=task,38    op_args=[2],39    dag=dag,40    provide_context=True41)...

subscriber2.py

Source:subscriber2.py

2from celery import Celery3import celery_pubsub4worker = Celery('cpe', broker='redis://redis:6379/0')5@celery.task6def my_task_2(*args, **kwargs):7    return "task 2 done"...

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