学习进度(2)
这几天一直在弄电脑,不止win10出现了一点小毛病,虚拟机也出了点问题。这几天看了一点点python的多线程,改了改爬信件的脚本。
脚本运行时间在2分钟左右是因为模拟Ajax请求获取数据比较费时,一个完整的数据交换(1000条)在4s左右,写入文件的时间很少可以忽略不记。由于之前的脚本是顺序执行,爬取完前1000条将其写入文件后再爬取后1000条并写入,相当于打开网页后一直点击下一页来收集数据。多线程则可以将顺序执行改为并列执行,同时运行多个线程,每个线程负责爬取1000条数据,相当于同时打开了网页里的所有分页。
爬取数据不需要加锁,但是写入文件必须加锁以防文件写入混乱。
# -*- coding: utf-8 -*- """ Created on Mon Jan 26 9:35:00 2020 @author: 星辰° """ import json import requests import time import threading def getContent(begin,length): url = 'http://www.beijing.gov.cn/hudong/hdjl/com.web.search.mailList.mailList.biz.ext' headers = { "Host": "www.beijing.gov.cn", "Connection": "keep-alive", "Content-Length": "155", "Pragma": "no-cache", "Cache-Control": "no-cache", "Accept": "application/json, text/javascript, */*; q=0.01", "Origin": "http://www.beijing.gov.cn", "X-Requested-With": "XMLHttpRequest", "User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36", "Content-Type": "text/json", "Referer": "http://www.beijing.gov.cn/hudong/hdjl/com.web.search.mailList.flow", "Accept-Encoding": "gzip, deflate", "Accept-Language": "zh-CN,zh;q=0.9", "Cookie": "HDJLJSID=88D9174C76DD6101B765BC08EBCC0042; __jsluid_h=5bf544c63ba671436f7a72dbea4f2107; sensorsdata2015jssdkcross=%7B%22distinct_id%22%3A%2216fb37e42d93f-05d6c08984c92b-3c604504-2073600-16fb37e42db11e%22%7D; X-LB=1.1.44.637df82f; route=a2cec3cb28b0d59d32db7b39f74f56a5; _va_ref=%5B%22%22%2C%22%22%2C1579688489%2C%22https%3A%2F%2Fwww.baidu.com%2Flink%3Furl%3D_YgZhWCf_Bktk-Qmd0FW46ZrmtOPvEAUxLo3-rLKpBuJ4lAGvTZ1-MNDKfbQzyA3%26wd%3D%26eqid%3Dbf36854b000546f7000000025e21a840%22%5D; _va_ses=*; _va_id=953201576463cf85.1579264069.4.1579691692.1579688489." } #即使定义的时候格式为json标准格式,python也会认为这是python字典,自动将双引号改成单引号 data = { "PageCond/begin":begin, "PageCond/length":length, "PageCond/isCount":"true", "keywords":"", "orgids":"", "startDate":"", "endDate":"", "letterType":"", "letterStatue":"" } #print(type(data)) #print(data) #print(type(json.dumps(data))) #print(json.dumps(data)) #模拟Ajax,data数据必须格式化为标准json数据格式,否则结果会是<Response [500]> #headers不能格式化,必须用dist类型 res = requests.post(url, data=json.dumps(data), headers=headers) return res.text mu = threading.Lock() #1、创建一个锁 def getData(begin,length): start = time.time() mailList = json.loads(getContent(begin,length))["mailList"] if mu.acquire(True): #2、获取锁状态,一个线程有锁时,别的线程只能在外面等着 f = open("data.txt","a",encoding="utf-8") for mail in mailList: string = json.dumps(mail["letter_type"],ensure_ascii=False) + ";" string += json.dumps(mail["original_id"],ensure_ascii=False) + ";" string += json.dumps(mail["catalog_id"],ensure_ascii=False) + ";" string += json.dumps(mail["letter_title"],ensure_ascii=False) + ";" string += json.dumps(mail["create_date"],ensure_ascii=False) + ";" string += json.dumps(mail["org_id"],ensure_ascii=False) + ";" string += json.dumps(mail["keywords"],ensure_ascii=False) + ";" string += json.dumps(mail["letter_status"],ensure_ascii=False) + ";" string += json.dumps(mail["ask_same_num"],ensure_ascii=False) + ";" string += json.dumps(mail["reply_num"],ensure_ascii=False) + ";" string += json.dumps(mail["support_num"],ensure_ascii=False) + ";" string += json.dumps(mail["supervise_num"],ensure_ascii=False) + ";" string += json.dumps(mail["isReply"],ensure_ascii=False) string += "\r\n" string = string.replace('"','') f.write(string) f.close() mu.release() #3、释放锁 spend_time = time.time() - start print(f"开始序号:{begin},数据量:{length}条,花费时间:{spend_time}s") if __name__ == '__main__': count = json.loads(getContent(0,1))["PageCond"]["count"] print(f"count:{count}") f = open("data.txt","w",encoding="utf-8") f.write("letter_type;original_id;catalog_id;letter_title;create_date;org_id;keywords;letter_status;ask_same_num;reply_num;support_num;supervise_num;isReply") f.write("\r\n") f.close() begin = 0 length = 1000 threads = [] while begin < count: if(begin + length > count): length = count - begin t = threading.Thread(target = getData, args=(begin,length,)) threads.append(t) t.start() begin += length for t in threads: t.join() print("所有线程任务完成")
看起来貌似比之前时间更长了,但实际上这些是同时运行的,总共花费时间为25s左右。这种方法虽然快,但是会带来另一种问题:数据不按时间顺序排序,因为文件写入的顺序并不是按时间顺序来排序的。