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八、多线程爬虫之糗事百科案例

时间:2019-08-30 19:58:44      阅读:73      评论:0      收藏:0      [点我收藏+]

案例要求参考上一个糗事百科单进程案例

Queue(队列对象)

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

python下多线程的思考

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

  1. 初始化: class Queue.Queue(maxsize) FIFO 先进先出

  2. 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

  3. 创建一个“队列”对象

    • import Queue
    • myqueue = Queue.Queue(maxsize = 10)
  4. 将一个值放入队列中

    • myqueue.put(10)
  5. 将一个值从队列中取出

    • myqueue.get()

多线程示意图

技术分享图片

# -*- coding:utf-8 -*-
import requests
from lxml import etree
from Queue import Queue
import threading
import time
import json


class thread_crawl(threading.Thread):
    ‘‘‘
    抓取线程类
    ‘‘‘

    def __init__(self, threadID, q):
        threading.Thread.__init__(self)
        self.threadID = threadID
        self.q = q

    def run(self):
        print "Starting " + self.threadID
        self.qiushi_spider()
        print "Exiting ", self.threadID

    def qiushi_spider(self):
        # page = 1
        while True:
            if self.q.empty():
                break
            else:
                page = self.q.get()
                print qiushi_spider=, self.threadID, ,page=, str(page)
                url = http://www.qiushibaike.com/8hr/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 = 4
                while timeout > 0:
                    timeout -= 1
                    try:
                        content = requests.get(url, headers=headers)
                        data_queue.put(content.text)
                        break
                    except Exception, e:
                        print qiushi_spider, e
                if timeout < 0:
                    print timeout, url


class Thread_Parser(threading.Thread):
    ‘‘‘
    页面解析类;
    ‘‘‘

    def __init__(self, threadID, queue, lock, f):
        threading.Thread.__init__(self)
        self.threadID = threadID
        self.queue = queue
        self.lock = lock
        self.f = f

    def run(self):
        print starting , self.threadID
        global total, exitFlag_Parser
        while 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:
                    pass
                self.parse_data(item)
                self.queue.task_done()
                print Thread_Parser=, self.threadID, ,total=, total
            except:
                pass
        print Exiting , self.threadID

    def parse_data(self, item):
        ‘‘‘
        解析网页函数
        :param item: 网页内容
        :return:
        ‘‘‘
        global total
        try:
            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].text
                    content = site.xpath(.//div[@class="content"]/span)[0].text.strip()
                    vote = None
                    comments = None
                    try:
                        vote = site.xpath(.//i)[0].text
                        comments = site.xpath(.//i)[1].text
                    except:
                        pass
                    result = {
                        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, e
        except Exception, e:
            print parse_data, e
        with self.lock:
            total += 1

data_queue = Queue()
exitFlag_Parser = False
lock = threading.Lock()
total = 0

def 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parserList
    parserthreads = []
    parserList = ["parser-1", "parser-2", "parser-3"]
    #分别启动parserList
    for 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_Parser
    exitFlag_Parser = True

    for t in parserthreads:
        t.join()
    print "Exiting Main Thread"
    with lock:
        output.close()


if __name__ == __main__:
    main()

 技术分享图片

八、多线程爬虫之糗事百科案例

原文:https://www.cnblogs.com/steven9898/p/11436661.html

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