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How to use dummy_task method in locust

Best Python code snippet using locust

test_concurrency_lock.py

Source:test_concurrency_lock.py

...5from celery_worker.celery import app6from celery_worker.locks import args_to_uid, concurrency_lock7import unittest8@app.task9def dummy_task(self):10    pass11class ConcurrencyLockTestCase(unittest.TestCase):12    @patch("celery_worker.locks.get_mongodb_collection")13    def test_success(self, get_collection):14        get_collection.return_value.insert_one.return_value = None15        test_method_procedure = Mock()16        @concurrency_lock17        def test_method(*args, **kwargs):18            test_method_procedure(*args, **kwargs)19        with patch("celery_worker.locks.datetime") as datetime_mock:20            datetime_mock.utcnow.return_value = datetime.utcnow()21            test_method(dummy_task, 1, 2, message="Hi")  # run22        task_uid = args_to_uid(23            (test_method.__module__, test_method.__name__, (1, 2), dict(message="Hi"))...

test_operators.py

Source:test_operators.py

1# from datetime import datetime, timedelta2# from airflow import DAG3# from airflow.operators.dummy_operator import DummyOperator4# from airflow.operators import MyFirstOperator, EmailOperator, BashOperator, ManagerOperator, PrinterOperator, DataRetriveOperator5# from airflow.operators.mysql_operator import MySqlOperator6# from airflow.hooks.hive_hooks import HiveServer2Hook7# from airflow.hooks.mysql_hook import MySqlHook8#9# # from airflow.operators import MySqlOperator10#11# import numpy as np12#13# default_args = {14#     'owner': 'Daniel',15#     'depends_on_past': False,16#     'start_date': datetime(2018, 3, 5),17#     'email_on_failure': True,18#     'email_on_retry': True,19#     'retries': 5,20#     'retry_delay': timedelta(minutes=1),21# }22#23# dag = DAG('Daniel_task2', default_args=default_args, description='Another tutorial DAG',24#           schedule_interval='0 12 * * *', catchup=False)25#26# mysql_hook = MySqlHook(conn_id='dfdfd_msql')27#28# # ids = mysql_hook.get_pandas_df('SELECT ID FROM MWS_COLT_ITEM LIMIT 100')29#30# # t = MySqlOperator(task_id='mysql_task', sql='SELECT * FROM wspider_temp.MWS_COLT_ITEM_IVT LIMIT 110', dag=dag)31# # t.run(start_date=datetime(2018, 3, 5), end_date=datetime(2018, 3, 8), ignore_ti_state=True)32#33#34# # dummy_task = DummyOperator(task_id='dummy_task', dag=dag)35#36# # sensor_task = MyFirstSensor(task_id='my_sensor_task', poke_interval=30, dag=dag)37#38#39# manager_task = ManagerOperator(my_operator_param='test', db_hook=mysql_hook, task_id='manager_task', dag=dag)40#41#42#43# impala_task = DataRetriveOperator(my_operator_param='impala', db_hook=mysql_hook, task_id='my_impala_task', dag=dag)44#45#46# manager_task >> impala_task47#48# # manager_task >> impala_task49# # db_tasks = []50# # for i in range(10):51# #     db_task = DataRetriveOperator(my_operator_param='impala', db_hook=mysql_hook, task_id='my_impala_task_%s' % i, dag=dag)52# #     db_tasks.append(db_task)53# #54# # for db_task in db_tasks:55# #     dummy_task >> db_task56#57# # mysql_task = MySqlOperator(task_id='mysql_task', sql='SELECT * FROM airflow.connection', dag=dag)58# # print(mysql_task)59#60# # mysql_task = MySqlOperator(task_id='mysql_task', sql='SELECT * FROM wspider_temp.ADDRESS', dag=dag)61#62# # printer_task = PrinterOperator(my_operator_param='printer', )63#64# # operator_task = MyFirstOperator(my_operator_param='This is a test', task_id='my_first_operator_task', dag=dag)65#66#67# # emailNotify_task = EmailOperator(68# # 			task_id='email_notification',69# # 			to = ['daniel.kim@epopcon.com'],70# # 			subject = 'Epopcon ETL Daily Report',71# # 			html_content = 'Epopcon ETL is successfully finished!', dag=dag)72#73# # dummy_task >> sensor_task >> manager_task74#75# # arr_lst = np.array(range(100))76# #77# # jobs = np.array_split(arr_lst, 20)78# #79# # print_tasks = []80# #81# # for idx, job in enumerate(jobs):82# #     task = PrinterOperator(my_operator_param='printer', task_id='printer_%s' % idx, assigned_lst=job, dag=dag)83# #     print_tasks.append(task)84# #85#86# # manager_task >> sensor_task >> emailNotify_task87#88# # manager_task >> mysql_task89# # dummy_task >> mysql_task90#91# # for print_task in print_tasks:...

test_searchalgorithms_hillclimbing.py

Source:test_searchalgorithms_hillclimbing.py

1"""2Unit test for searchalgorithms_hillclimbing.py3"""4from search import enforced_hillclimbing_search5from . import dummy_task6from task import *7def test_enforced_hillclimbing_search_at_goal():8    """9    plan of length 0, start is equal to goal10    """11    task = dummy_task.get_search_space_at_goal()12    heuristic = dummy_task.DummyHeuristic(task)13    solution = enforced_hillclimbing_search(task, heuristic)14    print(solution)15    assert solution is not None16    assert len(solution) == 017def test_enforced_hillclimbing_search_no_solution():18    """19    goal is not reachable20    """21    task = dummy_task.get_search_space_no_solution()22    heuristic = dummy_task.DummyHeuristic(task)23    solution = enforced_hillclimbing_search(task, heuristic)24    print(solution)25    assert solution is None26def test_enforced_hillclimbing_search_three_step():27    """28    plan with length 329    """30    task = dummy_task.get_simple_search_space()31    heuristic = dummy_task.DummyHeuristic(task)32    solution = enforced_hillclimbing_search(task, heuristic)33    print(solution)34    assert solution is not None35    assert len(solution) == 336def test_enforced_hillclimbing_search_four_step():37    """38    plan with length 439    """40    task = dummy_task.get_simple_search_space_2()41    heuristic = dummy_task.DummyHeuristic(task)42    solution = enforced_hillclimbing_search(task, heuristic)43    print(solution)44    assert solution is not None...

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