python推荐淘宝物美价廉商品 2.0

改动：

新增功能 ：可选择只看天猫或淘宝

代码模块化封装，参数配置或输入单独在一个py文件管理，主函数功能只留出参数传入在setting配置的py文件里。

main.py代码：

# -*- coding: utf-8 -*-
import urllib
import urllib2
import requests

import re
import time 
import random
import os
from math import log
from math import log10
from math import sqrt
import sys

import setting


#"pageSize":44,"totalPage":100,"currentPage":3,"totalCount":29561

'''在Python自己IDE上要注释掉以下两行'''

reload(sys)  
sys.setdefaultencoding('utf8')  # python2.x的的defaultencoding是ascii

class counter(object):
    #计数器
    def __init__(self):
        self.count  = 0
        self.try_time = 0

        self.try_find = 0
        self.fail_time = 0
        self.url_list = []
        self.new_flag = True
        self.results = []
        self.priSu = 0
        self.descSu = 0
        self.tm_tb = ''

    def print_counter(self):
        print 'try_time:', self.try_time,   "  get_count:" , self.count,   "  fail_time:",self.fail_time ,"try_find_time:",self.try_find


 

def recommend_rate(price, description, delivery, service, comments):
    #描述为绝对值
    av_p = counter1.priSu / counter1.count
    av_d = counter1.descSu / counter1.count
    rate = (description/av_d)**20  
            *(description + delivery + service) 
            *(av_p/(price))**0.1 
            +log((comments+5),1000)

    #print 'all count=',counter1.count
    #print "avrage price=",av_p,';',av_p/(price),';price',price,';comments=',comments,';descrip=',description
    #print 'rate=',rate,'(price)yinzi',(av_p/(price))**0.1,'descrip_yinzi',(description/av_d)**20,'comments_factor=',log((comments+50),100)
    return rate


def product_rank(list):
    for x in list:
        #0开始为  x0商品名 、x1图片链接、x2商品链接、x3价格、x4评论数、 x5店铺名、 x6快递情况、x7描述相符情况3个、x8服务情况 
        rate = recommend_rate(x[3],x[7],x[6],x[8],x[4])
        x.append(rate)


def get_user_rate(item_url):
    #暂时未使用该功能
    '''获取卖家信用情况；未登录情况不能访问，或者需要在头部文件中加入cookie。。。；'''
    html = urllib2.urlopen(item_url)
    #"//rate.taobao.com/user-rate-282f910f3b70f2128abd0ee9170e6428.htm"
    regrex_rate = '"(//.*?user-rate.*?)"'
    codes =  re.findall(regrex_rate,html.read())
    html.close()

    user_rate_url= 'http:'+codes[0]
    print 'uu', user_rate_url

    user_rate_html = urllib2.urlopen(user_rate_url)
    print user_rate_html.read()
    #title = "4.78589分"
    desc_regex = u'title="(4.[0-9]{5}).*?'
    de_pat = re.compile(desc_regex)
    
    descs = re.findall(de_pat,user_rate_html.read())
    print len(descs)
    item_url = 'https://item.taobao.com/item.htm?id=530635294653&ns=1&abbucket=0#detail'
#get_user_rate(item_url)
'''获取卖家信用情况；未登录情况不能访问。。。暂时 无用'''


def makeNewdir(savePath):
    while os.path.exists(savePath):
        savePath = savePath + str(random.randrange(1,10))
        #print "the path exist,we'll make a new one"
    try:
        os.makedirs(savePath)
        print 'ok,file_path we reserve results:  %s'%savePath
        print '保存的路径为：'.decode('utf-8')
        
    except :
        print "failed to make file path
please restart program"
        print '创建文件夹失败，请重新启动程序'.decode('utf-8')
    return savePath
        

def get_praised_good(url, file_open, keyword, counts, descripHrequ, servHrequ, descripNrequ):
    #从给定的淘宝链接中 获取符合条件的商品list
    html = req_s.get(url)
    code = html.content
    html.close()

    regrex2 = ur'raw_title":"(.*?)","pic_url":"(.*?)","detail_url":"(.*?)","view_price":"(.*?)".*?"comment_count":"(.*?)".*?"nick":"(.*?)".*?"delivery":[(.*?),(.*?),(.*?)],"description":[(.*?),(.*?),(.*?)],"service":[(.*?),(.*?),(.*?)]' 
    #每一个匹配项 返回  15个 字符串 
    #x[0]开始为  x0商品名 、x1图片链接、x2商品链接、x3价格、x4评论数、 x5店铺名、 x6快递情况3个、x9描述相符情况3个、x12服务情况3个
    pat = re.compile(regrex2)
    meet_code = re.findall(regrex2, code)#
    if not len(meet_code):
        counter1.new_flag = False
        print 'no more new met products'

    for x in meet_code:
        # if counter1.count>=counts :
        #   print "have get enough pruducts"
        #   break
        counter1.try_find += 1

        description_higher = int(x[10])*float(x[11])/100
        service_higher = int(x[13])*float(x[14])/100
        try:
            x4 = int(x[4]) #description_count
        except:
            x4 = 0

        #如果 只要淘宝 非天猫
        if counter1.tm_tb == 'taobao':
            if counter1.tm_tb not in x[2].split('.'):
                break

        if  (description_higher>=descripHrequ) and (service_higher>=servHrequ) and x4>=descripNrequ:
            if re.findall(keyword,x[0]) : # 中文keyword在结果中匹配问题暂时没有解决，，直接加在搜索词里吧 
                x0 = x[0].replace(' ','').replace('/','')
                detail_url = 'http:' + x[2].decode('unicode-escape').encode('utf-8')
                x1 = 'http:'+ x[1].decode('unicode-escape').encode('utf-8')
                #print type(x)
                if detail_url in counter1.url_list  or x4 == 0:
                    counter1.new_flag = False
                    print 'no more new met products'
                    print counter1.url_list
                    print detail_url
                    break
                counter1.url_list.append(detail_url)
                counter1.try_time += 1
                counter1.count += 1

                x11 = float(x[11])/100
                x9 = float(x[9])/100
                x12 = float(x[12])/100
                x6 = float(x[6])/100
                x3 = float(x[3])
                counter1.priSu += x3
                counter1.descSu += x9
                x5 = unicode(x[5],'utf-8')
                                
                result_list = []
                result_list.append(x0)
                result_list.append(x1)
                result_list.append(detail_url)
                result_list.append(x3)
                result_list.append(x4)
                result_list.append(x5)
                result_list.append(x6)
                result_list.append(x9)
                result_list.append(x12)
                #0开始为  x0商品名 、x1图片链接、x2商品链接、x3价格、x4评论数、 x5店铺名、 x6快递情况、x7描述相符情况、x8服务情况 
                counter1.results.append(result_list)
            

def save_downpic(lis,file_open,savePath):
    '''从商品list下载图片到reserve_file_path，并写入信息至fileopen'''
    #0开始为  x0商品名 、x1图片链接、x2商品链接、x3价格、x4评论数、 x5店铺名、 x6快递情况、x7描述相符情况、x8服务情况、x9:rate
    len_list = len(lis)
    print 'we find:',len_list,'products'
    cc = 0        
    for x in lis:
        try :
            urllib.urlretrieve(x[1], savePath+'\%s___'%cc +unicode(x[0],'utf-8')+'.jpg')

            txt_name = savePath+'\'+ '%s__'%cc+ 'custome_description_%s __'%x[7] +'__comments_%s_'%x[4]+ '___price_%srmb___'%x[3] +x[5] +'.txt'
                    
            file_o = open(txt_name, 'a')
            file_o.write(x[2])
            file_o.close()
            
            print '
get_one_possible_fine_goods:
','good_name:',x[0].decode('utf-8')
            print 'rate=',x[9]
            print 'price:',x[3],x[5].decode('utf-8')
            print 'custome_description:',x[7],'--','described_number:',x[4],'  service:',x[8]
            print x[2].decode('utf-8'),'
good_pic_url:',x[1].decode('utf-8')

            print txt_name
            print cc+1,"th"

            file_open.write(u'%s__'%cc 
                        + str(x[0]) 
                        + '
price:' 
                        + str(x[3])  
                        + '￥,
'    
                        + str(x[2]) + '  
' + str(x[5]) + '
customer_description:' + str(x[7]) + 'described_number:' + str(x[4])+'


')
            

            print 'get one -^-'
        except :
            print "failed to down picture or creat txt"
            counter1.fail_time += 1
        cc += 1
        time.sleep(0.5)


        
def get_market_totalCount(url):
    html = urllib2.urlopen(url)
    code = html.read()
    reg = '"pageSize":[0-9]*?,"totalPage":[0-9]*?,"currentPage":[0-9]*?,"totalCount":([0-9]*?)}'
    totalCount = int(re.findall(reg,code)[0])
    
    return totalCount
    
#"pageSize":44,"totalPage":100,"currentPage":3,"totalCount":29561


def get_all_praised_goods(serchProd,counts,savePath ,keyword, price_min=0,price_max=0,descripHrequ =0,servHrequ=0 ,descripNrequ=0):
    #边里搜索结果每一页
    #initial url and page number
    initial_url = 'https://s.taobao.com/search?q='+serchProd + '&_input_charset=utf-8'

    if counter1.tm_tb == 'tmall':
        initial_url = initial_url + '&filter_tianmao=tmall'

    if  price_min:
        if price_min < price_max :
            initial_url = initial_url+'&filter=reserve_price%5B'+'%s'%price_min+'%2C' +'%s'%price_max
    initial_url = initial_url +'&cd=false&%5D&s='

    #tian_mall = 'https://list.tmall.com/search_product.htm?q='

    print "initial_url",initial_url+'0'

    page_n = 0
    reserve_file = savePath+r'found_goods.txt'
    file_open = open(reserve_file,'a')

    file_open.write('****************************
')
    file_open.write(time.ctime())
    file_open.write('
****************************
')

    total = get_market_totalCount(initial_url+'0')
    print "totalcount",total
    if total>counts*10:
        total = sqrt(total)

    while counter1.new_flag and counter1.try_find<total :
        
        url_1 = initial_url + str(44*page_n)
        #print initial_url
        print 'url_1:', url_1
        #print 'ss',initial_url+'%s'%(44*page_n)
        page_n += 1

        get_praised_good(url_1,file_open,keyword,counts,descripHrequ,servHrequ ,descripNrequ)
        print "let web network rest for 1s lest  make traffic jams "
        time.sleep(1)
        # except:
        print page_n, "pages have been searched"            
        if total < counts :
            print "check keyword,maybe too restrict"
            break

    print url_1     
    product_rank(counter1.results)

    counter1.results.sort(key = lambda x : x[9], reverse=True)      
    counter1.results = counter1.results[:counts]
    
    counter1.print_counter()
    
    save_downpic(counter1.results,file_open,savePath)
    
    #
    for a in  counter1.results:
        for b in a :
            file_open.write(unicode(str(b),'utf-8'))
            file_open.write('	')
        file_open.write('

')
    
    file_open.close()
    counter1.print_counter()


counter1 = counter()

market_totalcounts = 0


req_s = requests.Session()
req_s.adapters.DEFAULT_RETRIES = 3
req_s.keep_alive = True  


def main():
    print "说明:".decode('utf-8') 
    print '本程序用于在淘宝上搜索商品时主动通过 价格范围、商品描述、服务态度、评论数来筛选商品;
筛选出来的商品图片下载保存到磁盘（默认桌面新建find_worty_goods文件夹）并建立同序号开头的txt文件，图片显示商品，其旁的txt文件名显示价格等关键信息，txt里保存商品的淘宝链接'.decode('utf-8')  
    
    if setting.userDefine:      #自己输入 配置参数-筛选要求
        setting.inputPara() 
                    #否则  使用setting中的配置参数

    serchProd   = setting.serchProd         #淘宝搜索词
    keyword     = setting.keyword               #raw_input().decode("gbk").encode("utf-8")       #个人限定词，商品名字必须包含，防止淘宝推荐了其他相关词 (正则表达式). 为任意表示不作限制
    price_min   = setting.price_min         #价格区间
    price_max   = setting.price_max
    descripHrequ = setting.descripHrequ    # %   默认高于average, 输出结果大于此值
    servHrequ    = setting.servHrequ        # %  默认高于average, 输出结果大于此值
    descripNrequ = setting.descripNrequ
    counts       = setting.counts               #要求选出多少个商品
    counter1.tm_tb = setting.tm_tb          #不区分天猫淘宝则，字符串为空，，只要天猫 则 ='tmall' ,只要淘宝 = 'taobao'

    #savePath = r"C:UsersAdministratorDesktopPython scrapyfind_worthy_goods
esults"#结果保存路径
    savePath = u"results%s"%serchProd #结果保存路径
    savePath = makeNewdir(savePath)
    
    get_all_praised_goods(serchProd, counts, savePath, keyword, price_min, price_max ,descripHrequ ,servHrequ ,descripNrequ)


if __name__ == "__main__" :
    main()

    
    #保存图片，以文件名为商品图片名字，并以序号开头
    #同时，输出 价格、商家名，商品描述、服务等 到 txt文本
    #在商品图片看中后，便可按序号查找 
    #按描述、服务评价高于平均，购物体验应该可以的

setting.py

# -*- coding: utf-8 -*-

userDefine = False
#筛选要求设置

serchProd='背包'     #淘宝搜索词
keyword=''                 #raw_input().decode("gbk").encode("utf-8")        #个人限定词，商品名字必须包含，防止淘宝推荐了其他相关词 (正则表达式). 为任意表示不作限制
price_min=22            #价格区间
price_max=100
descripHrequ=0       # %   默认高于average, 输出结果大于此值
servHrequ=0          # %  默认高于average, 输出结果大于此值
descripNrequ=6
counts=25            #要求选出多少个商品
tm_tb ='tmall'       #不区分天猫淘宝则，字符串为空，，只要天猫 则 ='tmall' ,只要淘宝 = 'taobao'


def inputPara():
    ''' 用户选择是否自定义要求，根据要求进行获取商品，并按推荐排序输出'''
    print "please input reserch _goods_name"
    global serchProd , keyword , price_min, price_max, descripHrequ , servHrequ,  descripNrequ ,counts ,tm_tb

    serchProd=raw_input().replace(' ','')    #淘宝搜索词 ,并去除中间意外输入的空格

    if serchProd:
        
        print "if customise price_range ,decriptiom require .etc.
input Y/N 
 default by : no price limit avarage than descriptiom,get 50 products 
 默认要求为：无价格限制，商品描述、快递、服务高于均值，获取50个商品。自定义要求请输入 ‘Y’ (区分大小写)".decode('utf-8')
        if raw_input() == 'Y':
            print "
please input  _minimal price and _maximal price;   
default by 0,10000
next by 'enter'key input nothing means by default,the same below "
            print '请输入价格范围 ；默认0-10000 ；两项用半角逗号","分隔 按回车键确认；什么也不输入代表使用默认值 '.decode('utf-8')
            try:
                price_min, price_max=input()
            except:
                print 'not input or wrong number,use default range'
                price_min, price_max = 0 ,10000
            
            #
            print '是否要求 只看天猫/正品保障  还是只看淘宝 
 只看天猫输入 tmall ,只看淘宝输入taobao，都看则回车略过'
            try:
                tm_tb=raw_input().decode("gbk").encode("utf-8")      #个人限定词，商品名字必须包含，防止淘宝推荐了其他相关词 (正则表达式). 为任意表示不作限制
            except:
                tm_tb=''
            #
                # #
            print "please input _keyword that goods name must include:
(more than one keyword must use Regular Expression); default by no kewords"
            try:
                keyword=raw_input().decode("gbk").encode("utf-8")      #个人限定词，商品名字必须包含，防止淘宝推荐了其他相关词 (正则表达式). 为任意表示不作限制
            except:
                keyword=''
            #    

            print "
please input  _description_higher_percent_require and _service_higher__percent_require
 range:(-100,100) ;   
default by 0,0  I.e better than average"
            print '请输入商品描述、服务高于平均值的百分比-100 ~100'.decode('utf-8')
                 # %   默认高于average, 输出结果大于此值
            try:
                descripHrequ,servHrequ=input()              
            except:
                print 'not input or wrong number,use default range'
                descripHrequ = 0  # %  默认高于average, 输出结果大于此值
                servHrequ = 0
            
            #    
            print "
please input description count limit,  default more than 5
" ,'输入最低商品评价数，默认大于5'.decode('utf-8')
            try:
                descripNrequ=input()
            except :
                print 'not input or wrong number,use default range'
                descripNrequ=5
            #
                
                # print "
IF customise file reserve path, Y or N  
default/sample as:  C:\Users\Administrator\Desktop\find_worthy_goods\results "
                # print '是否自定义保存文件目录 Y or N'.decode('utf-8')
                # if raw_input()=='Y':
                #     print "please input path that you want to reserve;  
 "    
                #     savePath = raw_input()
                # else:
                #     #savePath=r"C:UsersAdministratorDesktopfind_worthy_goods
esults"#结果保存路径        
            #
            print "
please input how many results you want,  default by 50
" ,'您要获取的商品数目，默认50'.decode('utf-8')
            try:
                counts=input()
            except :
                counts=50
        else :
            counts =50
            keyword = ''
            tm_tb = ''
            price_min ,price_max ,descripHrequ ,servHrequ ,descripNrequ = 0,0,0,0,0
    else:
        print "no search goods，please restart"
        print '没有输入商品名称，请重新启动程序'.decode('utf-8')