2019-06-17多线程爬虫

分析：
两类线程：下载（3），解析（3）
内容队列：下载线程往队列中put数据，解析线程从队列get数据
url队列：下载线程从url队列get数据
写数据：上锁
案例代码：

import threading
import time
from queue import Queue
from lxml import etree
import json
import requests

#用来存放采集线程
g_crawl_list=[]

#用来存放解析线程
g_parse_list=[]

class CrawlThread(threading.Thread):
    """docstring fos CrawlThread"""
    def __init__(self, name,page_queue,data_queue):
        super(CrawlThread, self).__init__()
        self.name = name
        self.page_queue=page_queue
        self.data_queue=data_queue
        self.url='http://www.fanjian.net/jiantu-{}'
        self.headers={
            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36',
        }
    def run(self):
        print('%s---------线程启动' % self.name)
        while 1:
            #判断采集线程何时退出
            if self.page_queue.empty():
                break
            #从队列中取出页码   
            page=self.page_queue.get()
            
            #拼接url,发送请求
            url=self.url.format(page)
            
            r=requests.get(url,headers=self.headers)
            #将响应的内容存放到data_queue中
            self.data_queue.put(r.text)
        print('%s---------线程结束' % self.name)
class ParseThread(threading.Thread):
    """docstring fos CrawlThread"""
    def __init__(self, name,data_queue,fp,lock):
        super(ParseThread, self).__init__()
        self.name = name
        self.data_queue=data_queue
        self.fp=fp
        self.lock=lock

    def run(self):
        print('%s---------线程启动' % self.name)
        while 1:
            # if self.data_queue.empty():
            #   break
            #从data_queue中取出一页数据
            data=self.data_queue.get(True,10)
            #解析内容即可

            self.page_content(data)
        print('%s---------线程结束' % self.name)
    def page_content(self,data):
        
        tree=etree.HTML(data)
        #先找所有的li，再从li里面找自己的标题和url
        
        li_list=tree.xpath('//ul[@class="cont-list"]/li')
    
        items=[]
        for oli in li_list: 
        #获取标题
            title=oli.xpath('.//h2/a/text()')[0]
        #获取图片url
            url_page=oli.xpath('.//div[@class="cont-list-main"]//img/@data-src')
            item={
            '标题': title,
            '链接':url_page
            }
            items.append(item)
        #写到文件中
        self.lock.acquire()
        self.fp.write(json.dumps(items,ensure_ascii=False) + '\n')
        self.lock.release()

def create_queue():
    #创建页码队列
    page_queue=Queue()
    for page in range(1,6):
        page_queue.put(page)
    #创建内容队列
    data_queue=Queue()

    return page_queue,data_queue
#创建采集线程     
def create_crawl_thread(page_queue,data_queue):
    crawl_name = ['采集线程1号','采集线程2号','采集线程3号']
    for name in crawl_name:
        #创建一个采集线程
        tcrawl=CrawlThread(name,page_queue,data_queue)
        #保存到列表中
        g_crawl_list.append(tcrawl)

def create_parse_thread(data_queque,fp,lock):
    parse_name = ['解析线程1号','解析线程2号','解析线程3号']
    for name in parse_name:
        #创建一个解析线程
        tparse=ParseThread(name,data_queque,fp,lock)
        #保存到列表中
        g_parse_list.append(tparse)
def main():
    #创建队列
    page_queue,data_queue = create_queue()
    #打开文件
    
    fp=open('jian.json','a',encoding='utf8')
    #创建锁
    lock=threading.Lock()
    #创建采集线程
    create_crawl_thread(page_queue,data_queue)
    time.sleep(3)

    #创建解析线程
    create_parse_thread(data_queue,fp,lock)

    #启动所有采集线程
    for tcrawl in g_crawl_list:
        tcrawl.start()
    #启动所有解析线程
    for tparse in g_parse_list:
        tparse.start()

    #主线程等待子线程结束
    for tcrawl in g_crawl_list:
        tcrawl.join()
    for tparse in g_parse_list:
        tparse.join()
    #在这里关闭文件
    fp.close()
    print('主线程子线程全部结束')
if __name__ == '__main__':
    main()

显示：

采集线程1号---------线程启动
采集线程2号---------线程启动
采集线程3号---------线程启动
解析线程1号---------线程启动
解析线程2号---------线程启动
解析线程3号---------线程启动
采集线程2号---------线程结束
采集线程1号---------线程结束
采集线程3号---------线程结束
Exception in thread 解析线程3号:
Traceback (most recent call last):
  File "C:\Users\Administrator\AppData\Local\Programs\Python\Python37\lib\threading.py", line 917, in _bootstrap_inner
    self.run()
  File "E:\Sublime Text 3\day1\2_xincheng.py", line 56, in run
    data=self.data_queue.get(True,10)
  File "C:\Users\Administrator\AppData\Local\Programs\Python\Python37\lib\queue.py", line 178, in get
    raise Empty
_queue.Empty

Exception in thread 解析线程1号:
Traceback (most recent call last):
  File "C:\Users\Administrator\AppData\Local\Programs\Python\Python37\lib\threading.py", line 917, in _bootstrap_inner
    self.run()
  File "E:\Sublime Text 3\day1\2_xincheng.py", line 56, in run
    data=self.data_queue.get(True,10)
  File "C:\Users\Administrator\AppData\Local\Programs\Python\Python37\lib\queue.py", line 178, in get
    raise Empty
_queue.Empty

Exception in thread 解析线程2号:
Traceback (most recent call last):
  File "C:\Users\Administrator\AppData\Local\Programs\Python\Python37\lib\threading.py", line 917, in _bootstrap_inner
    self.run()
  File "E:\Sublime Text 3\day1\2_xincheng.py", line 56, in run
    data=self.data_queue.get(True,10)
  File "C:\Users\Administrator\AppData\Local\Programs\Python\Python37\lib\queue.py", line 178, in get
    raise Empty
_queue.Empty

主线程子线程全部结束
[Finished in 15.1s]

报错代码待优化...
json数据