python+++マルチスレッド豆弁網のリストを這い出す

import requests as reqs
import threading
import time
#Some User Agents
hds={'User-Agent':'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.6) Gecko/20091201 Firefox/3.5.6',
'User-Agent':'Mozilla/5.0 (Windows NT 6.2) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.12 Safari/535.11',
'User-Agent': 'Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.2; Trident/6.0)'}



from scrapy import Selector
def html_parse(html_str,xpath_expr):
      sel = Selector(text=htmltext)
      xp = lambda x: sel.xpath(x).extract()
      return xp(xpathstr)
   

class myThread_detail(threading.Thread):
    """docstring for myThead"""
    def __init__(self, url,people_nums):
        super(myThread_detail, self).__init__()
        self.url = url
        self.people_nums=people_nums


    def run(self,):
        loc=threading.Lock()
        data=reqs.get(self.url,headers=hds).content.decode()
        #      
        loc.acquire()
        try:
            self.people_nums.append(html_parse(data,'//a[@class="rating_people"]//span/text()')[0])
        except IndexError as e:
            self.people_nums.append(" ")
        loc.release()





#                 
def book_spider(book_tag):
    #url='http://www.douban.com/tag/  /book?start=0' # For Test
    page_num=0
    url=r'http://www.douban.com/tag/'+book_tag+'/book?start='
    for i in range(0,15*10,15):
        urls=url+str(i)
        print(urls)
        data=reqs.get(urls,headers=hds).content.decode()
        # ==============           ，               ================
        #   
        booknames     =html_parse(data,'//a[@class="title"]/text()')
        #  
        descs         =html_parse(data,'//div[@class="desc"]/text()')
        detail_links  =html_parse(data,'''//a[@class="title"]/@href''')
        
        #     
        people_nums=[]
        
        #        ，   
        tt=[]
        for link in detail_links:
            t=myThread_detail(link,people_nums)
            t.start()
            time.sleep(0.1)
            tt.append(t)
        for th in tt:
            th.join()
        yield (booknames,descs,people_nums)

    


#      ，      
# https://book.douban.com/subject/6082808/?from=tag_all for test

def get_people_num(url):
    data=reqs.get(url,headers=hds).content.decode()
    #      
    return html_parse(data,'//a[@class="rating_people"]//span/text()')


#      （          ）
def do_spider(book_tag_lists):
    for i in book_tag_lists:
        for item in book_spider(i):
            
            #           
            print(item)



    #          ，               
    # return book_lists
    return 0



#          。
def print_book_lists_excel(book_lists,book_tag_lists):
    '''       ，             ;




              ，     ！'''



    pass




if __name__=='__main__':
    #book_tag_lists = ['  ','     ','  ','    ','  ','  ']
    #book_tag_lists = ['  ','  ','  ','  ','  ','   ','  ']
    #book_tag_lists = ['  ','  ','  ','web','  ','  ','  ']
    #book_tag_lists = ['   ','    ','linux','android','   ','   ']
    #book_tag_lists = ['  ']
    #book_tag_lists = ['  ','  ','  ','  ','  ','  ','  ','  ','  ','  ']
    #book_tag_lists = ['  ','  ','  ']  
    #book_tag_lists = ['  ']
    #book_tag_lists = ['  ','  ','  ','  ','  ']
    #book_tag_lists = ['  ','  ','  ']
    # book_tag_lists = ['  ','    ','  ','  ','  ']
    book_tag_lists = ['  ']
    book_lists=do_spider(book_tag_lists)
    print_book_lists_excel(book_lists,book_tag_lists)





    ###########################################################################
    #       ，        ，     ip ，        ip；    。 ##