if random.randint(4, 6) == 5:
raise RandomError('演示随机出错')
logger.info(f'计算 {a} + {b} 得到的结果是 {a + b}')
return a + b
def sub(x, y):
logger.info(f'消费此消息 {x} - {y} 中。。。。。')
time.sleep(0.4) # 模拟做某事需要阻塞10秒种，必须用并发绕过此阻塞。
if random.randint(1, 10) == 4:
raise ValueError('4444')
logger.info(f'计算 {x} - {y} 得到的结果是 {x - y}')
# 把消费的函数名传给consuming_function，就这么简单。
consumer_add = get_consumer('queue_test56', consuming_function=add, threads_num=500, max_retry_times=2,
msg_schedule_time_intercal=0.0007, log_level=10, logger_prefix='zz平台消费',
function_timeout=0, is_print_detail_exception=False,
msg_expire_senconds=3600,
function_result_status_persistance_conf= FunctionResultStatusPersistanceConfig(True, True, 7 * 24 * 3600),
broker_kind=0, concurrent_mode=1,) # 通过设置broker_kind，一键切换中间件为rabbitmq或redis等9种中间件或包。
consumer_sub = get_consumer('queue_test57', consuming_function=sub, threads_num=50, msg_schedule_time_intercal=0.2, log_level=10, logger_prefix='xxxxx平台消费',
function_timeout=80, is_print_detail_exception=True,
broker_kind=2, concurrent_mode=1) # 通过设置
if __name__ == '__main__':
ConsumersManager.show_all_consumer_info()
consumer_add.start_consuming_message()
# consumer_sub.start_consuming_message()
def run_many_consumer_by_init_params(consumer_init_params_list: List[dict]):
for consumer_init_params in consumer_init_params_list:
get_consumer(**consumer_init_params).start_consuming_message()
ConsumersManager.join_all_consumer_shedual_task_thread()