在应用中,有时候会 依赖第三方模块执行方法,好比调用某模块的上传下载,数据库查询等操做的时候,若是出现网络问题或其余问题,可能有超时从新请求的状况;html
目前的解决方案有python
1. 信号量,但不支持window;数据库
2.多线程,可是 若是是大量的数据重复操做尝试,会出现线程管理混乱,开启上万个线程的问题;网络
3.结合采用 eventlet 和 retrying模块 (eventlet 原理尚需深刻研究)多线程
下面的方法实现:超过指定时间从新尝试某个方法dom
# -*- coding: utf-8 -*- import random import time import eventlet from retrying import retry eventlet.monkey_patch() class RetryTimeOutException(Exception): def __init__(self, *args, **kwargs): pass def retry_if_timeout(exception): """Return True if we should retry (in this case when it's an IOError), False otherwise""" return isinstance(exception, RetryTimeOutException) def retry_fun(retries=3, timeout_second=2): """ will retry ${retries} times when process time beyond ${timeout_second} ; :param retries: The retry times :param timeout_second: The max process time """ def retry_decor(func): @retry(stop_max_attempt_number=retries, retry_on_exception=retry_if_timeout) def decor(*args, **kwargs): print("In retry method..") pass_flag = False with eventlet.Timeout(timeout_second, False): r = func(*args, **kwargs) pass_flag = True print("Success after method.") if not pass_flag: raise RetryTimeOutException("Time out..") print("Exit from retry.") return r return decor return retry_decor def do_request(): print("begin request...") sleep_time = random.randint(1, 4) print("request sleep time: %s." % sleep_time) time.sleep(sleep_time) print("end request...") return True @retry_fun(retries=3) def retry_request(): r = do_request() print(r) if __name__ == '__main__': retry_request()
参考:this
安装依赖模块:pip install retrying eventlet -i https://pypi.tuna.tsinghua.edu.cn/simple/.net
装饰器用法:https://blog.csdn.net/u013205877/article/details/78872278线程
retry: https://blog.csdn.net/lxy210781/article/details/952530263d
超时:https://blog.csdn.net/yuanpython/article/details/90522567
其余方法:https://www.cnblogs.com/lyxdw/p/10033118.html