Python多线程异步任务队列（实例）

很多场景为了不阻塞，都需要异步回调机制。这是一个简单的例子。

python的多线程异步常用到queue和threading模块

#!/usr/bin/env python
# -*- coding: UTF-8 -*-
 
import logging
import queue
import threading
 
def func_a(a, b):
    return a + b
 
def func_b():
    pass
 
def func_c(a, b, c):
    return a, b, c
 
# 异步任务队列
_task_queue = queue.Queue()
 
def async_call(function, callback, *args, **kwargs):
    _task_queue.put({
        \'function\': function,
        \'callback\': callback,
        \'args\': args,
        \'kwargs\': kwargs
    })
 
def _task_queue_consumer():
    \"\"\"
    异步任务队列消费者
    \"\"\"
    while True:
        try:
            task = _task_queue.get()
            function = task.get(\'function\')
            callback = task.get(\'callback\')
            args = task.get(\'args\')
            kwargs = task.get(\'kwargs\')
            try:
                if callback:
                    callback(function(*args, **kwargs))
            except Exception as ex:
                if callback:
                    callback(ex)
            finally:
                _task_queue.task_done()
        except Exception as ex:
            logging.warning(ex)
 
def handle_result(result):
    print(type(result), result)
 
if __name__ == \'__main__\':
    t = threading.Thread(target=_task_queue_consumer)
    t.daemon = True
    t.start()
 
    async_call(func_a, handle_result, 1, 2)
    async_call(func_b, handle_result)
    async_call(func_c, handle_result, 1, 2, 3)
    async_call(func_c, handle_result, 1, 2, 3, 4)
 
    _task_queue.join()