Python请求模块多线程 [英] Python requests module multithreading

查看:97
本文介绍了Python请求模块多线程的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

是否可以使用多处理接口来加快我的代码的速度?问题在于该接口使用了仅适用于1个函数的map函数.但是我的代码有3个功能.我试图将我的功能组合为一个,但没有成功.我的脚本从文件中读取站点的URL,并在其上执行3个功能. For Loop的速度非常慢,因为我有很多URL

Is there a possible way to speed up my code using multiprocessing interface? The problem is that this interface uses map function, which works only with 1 function. But my code has 3 functions. I tried to combine my functions into one, but didn't get success. My script reads the URL of site from file and performs 3 functions over it. For Loop makes it very slow, because I got a lot of URLs

import requests

def Login(url): #Log in     
    payload = {
        'UserName_Text'     : 'user',
        'UserPW_Password'   : 'pass',
        'submit_ButtonOK'   : 'return buttonClick;'  
      }

    try:
        p = session.post(url+'/login.jsp', data = payload, timeout=10)
    except (requests.exceptions.ConnectionError, requests.exceptions.Timeout):
        print "site is DOWN! :", url[8:]
        session.cookies.clear()
        session.close() 
    else:
        print 'OK: ', p.url

def Timer(url): #Measure request time
    try:
        timer = requests.get(url+'/login.jsp').elapsed.total_seconds()
    except (requests.exceptions.ConnectionError):
        print 'Request time: None'
        print '-----------------------------------------------------------------'
    else: 
        print 'Request time:', round(timer, 2), 'sec'

def Logout(url): # Log out
    try:
        logout = requests.get(url+'/logout.jsp', params={'submit_ButtonOK' : 'true'}, cookies = session.cookies)
    except(requests.exceptions.ConnectionError):
        pass
    else:
        print 'Logout '#, logout.url
        print '-----------------------------------------------------------------'
        session.cookies.clear()
        session.close()
for line in open('text.txt').read().splitlines():
    session = requests.session()
    Login(line)
    Timer(line)
    Logout(line)

推荐答案

是的,您可以使用多重处理.

Yes, you can use multiprocessing.

from multiprocessing import Pool

def f(line):
    session = requests.session()
    Login(session, line)
    Timer(session, line)
    Logout(session, line)        

if __name__ == '__main__':
    urls = open('text.txt').read().splitlines()
    p = Pool(5)
    print(p.map(f, urls))

请求session不能是全局的,并且不能在工作人员之间共享,每个工作人员都应使用自己的会话.

The requests session cannot be global and shared between workers, every worker should use its own session.

您写道,您已经试图将我的功能合并为一个,但没有成功".到底是什么不起作用?

You write that you already "tried to combine my functions into one, but didn't get success". What exactly didn't work?

这篇关于Python请求模块多线程的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

查看全文
登录 关闭
扫码关注1秒登录
发送“验证码”获取 | 15天全站免登陆