多线程爬虫实战:糗事百科
参考上一节课糗事百科单进程项目
python下多线程的思考
Queue是python中的标准库,可以直接import Queue引用;队列是线程间最常用的交换数据的形式
对于资源,加锁是个重要的环节。因为python原生的list,dict等,都是not thread safe的。而Queue,是线程安全的,因此在满足使用条件下,建议使用队列
Python Queue模块有三种队列及构造函数:
1、Python Queue模块的FIFO队列先进先出。 class Queue.Queue(maxsize)
2、LIFO类似于堆,即先进后出。 class Queue.LifoQueue(maxsize)
3、还有一种是优先级队列级别越低越先出来。 class Queue.PriorityQueue(maxsize)
Queue(队列对象)
初始化: class Queue.Queue(maxsize) FIFO 先进先出
包中的常用方法:
Queue.qsize() 返回队列的大小
Queue.empty() 如果队列为空,返回True,反之False
Queue.full() 如果队列满了,返回True,反之False
Queue.full 与 maxsize 大小对应
Queue.get([block[, timeout]])获取队列,timeout等待时间
调用队列对象的get()方法从队头删除并返回一个项目。可选参数为block,默认为True。如果队列为空且block为True,get()就使调用线程暂停,直至有项目可用。如果队列为空且block为False,队列将引发Empty异常。
创建一个“队列”对象
import Queue myqueue = Queue.Queue(maxsize = 10)
将一个值放入队列中
myqueue.put(10)
将一个值从队列中取出
myqueue.get()
多线程项目案例
多线程示意图

# -*- coding:utf-8 -*-import requestsfrom lxml import etreefrom Queue import Queueimport threadingimport timeimport jsonclass thread_crawl(threading.Thread):'''抓取线程类'''def __init__(self, threadID, q):threading.Thread.__init__(self)self.threadID = threadIDself.q = qdef run(self):print "Starting " + self.threadIDself.qiushi_spider()print "Exiting ", self.threadIDdef qiushi_spider(self):# page = 1while True:if self.q.empty():breakelse:page = self.q.get()print 'qiushi_spider=', self.threadID, ',page=', str(page)url = 'http://www.qiushibaike.com/hot/page/' + str(page) + '/'headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36','Accept-Language': 'zh-CN,zh;q=0.8'}# 多次尝试失败结束、防止死循环timeout = 4while timeout > 0:timeout -= 1try:content = requests.get(url, headers=headers)data_queue.put(content.text)breakexcept Exception, e:print 'qiushi_spider', eif timeout < 0:print 'timeout', urlclass Thread_Parser(threading.Thread):'''页面解析类;'''def __init__(self, threadID, queue, lock, f):threading.Thread.__init__(self)self.threadID = threadIDself.queue = queueself.lock = lockself.f = fdef run(self):print 'starting ', self.threadIDglobal total, exitFlag_Parserwhile not exitFlag_Parser:try:'''调用队列对象的get()方法从队头删除并返回一个项目。可选参数为block,默认为True。如果队列为空且block为True,get()就使调用线程暂停,直至有项目可用。如果队列为空且block为False,队列将引发Empty异常。'''item = self.queue.get(False)if not item:passself.parse_data(item)self.queue.task_done()print 'Thread_Parser=', self.threadID, ',total=', totalexcept:passprint 'Exiting ', self.threadIDdef parse_data(self, item):'''解析网页函数:param item: 网页内容:return:'''global totaltry:html = etree.HTML(item)result = html.xpath('//div[contains(@id,"qiushi_tag")]')for site in result:try:imgUrl = site.xpath('.//img/@src')[0]title = site.xpath('.//h2')[0].textcontent = site.xpath('.//div[@class="content"]')[0].text.strip()vote = Nonecomments = Nonetry:vote = site.xpath('.//i')[0].textcomments = site.xpath('.//i')[1].textexcept:passresult = {'imgUrl': imgUrl,'title': title,'content': content,'vote': vote,'comments': comments,}with self.lock:# print 'write %s' % json.dumps(result)self.f.write(json.dumps(result, ensure_ascii=False).encode('utf-8') + "\n")except Exception, e:print 'site in result', eexcept Exception, e:print 'parse_data', ewith self.lock:total += 1data_queue = Queue()exitFlag_Parser = Falselock = threading.Lock()total = 0def main():output = open('qiushibaike.json', 'a')#初始化网页页码page从1-10个页面pageQueue = Queue(50)for page in range(1, 11):pageQueue.put(page)#初始化采集线程crawlthreads = []crawlList = ["crawl-1", "crawl-2", "crawl-3"]for threadID in crawlList:thread = thread_crawl(threadID, pageQueue)thread.start()crawlthreads.append(thread)#初始化解析线程parserListparserthreads = []parserList = ["parser-1", "parser-2", "parser-3"]#分别启动parserListfor threadID in parserList:thread = Thread_Parser(threadID, data_queue, lock, output)thread.start()parserthreads.append(thread)# 等待队列清空while not pageQueue.empty():pass# 等待所有线程完成for t in crawlthreads:t.join()while not data_queue.empty():pass# 通知线程是时候退出global exitFlag_ParserexitFlag_Parser = Truefor t in parserthreads:t.join()print "Exiting Main Thread"with lock:output.close()if __name__ == '__main__':main()
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