91家纺网，更新

import re

#import ast

from threading import Thread

from urllib import parse

from datetime import datetime

import random 

import requests

import time

import redis

from scrapy import Selector

from models import *

store_list_urls = []

product_list_urls = []

domain = "http://www.91jf.com/"

store_domain = "http://www.91jf.com/default.php?act=corp&sort=list&page="

store_url_domain = 'http://www.91jf.com/default.php?act=store_goods&storeid=' # 用于拼接商户id和url

category_url = "http://www.91jf.com/default.php?act=categorygoodslist&category_id=" # 用来拼接商品的url

stor_url_aptitude = 'http://www.91jf.com/default.php?act=corpcert&id=' # 用于拼接商户资质的url

r=redis.Redis(host='58.221.24.242',port='18503',db='4',password=None,decode_responses=True)

def get_nodes_json():

    left_menu_text = requests.get("http://www.91jf.com/").text

    #write_txt(left_menu_text)

    #etree.HTML(res0.text)

    sel = Selector(text=left_menu_text)

    all_divs = sel.xpath("//div[@class='class_child_li']//a[@href]").extract()

    if all_divs:

        nodes_lists = []

        for i in range(len(all_divs)):

            nodes_str = all_divs[i]

            nodes_str = nodes_str.replace("&","&") # 此处&由于被转义成&导致需要重新进行处理

            nodes_lists.append(nodes_str)

        return nodes_lists

    return []

# 获取一级目录数据，保存商品系列ID，用来拼接爬虫入口的url

def process_nodes_list(url):    

    menu_text = requests.get(url).text

    sel = Selector(text=menu_text)

    nodes_list = sel.xpath("//div[@class='index_g_class']/ul/li")

    for item in nodes_list:

        title = item.xpath("./div[@class='class_menu']/span/text()").extract()

        title = ''.join(title)

        #主目录的名称

        catalogue_name = title

        catalogue = Catalogue()

        catalogue.catalogue_name = catalogue_name # 系列名称

        catalogue.series_level = 0 # 系列等级

        catalogue_id_0 = 0 # 系列catalogue_id

        catalogue.category_id = catalogue_id_0 # 系列catalogue_id

        existed_id = Catalogue.select().where((Catalogue.catalogue_name==catalogue_name) & (Catalogue.category_id == catalogue_id_0))

        if existed_id:

            #catalogue.save()

            pass  

        else:

            catalogue.save(force_insert=True)  

        _id = Catalogue.get(Catalogue.catalogue_name==title)._id # 此处获取父节点的id

        series_names = item.xpath('.//div[@class="class_child_li"]//li')

        for series_name in series_names:

            

            catalogue_0 = Catalogue()

            catalogue_0.catalogue_name = title # 系列名称

            catalogue_0.series_level = 0 # 系列等级

            series_name_0 =  series_name.xpath('.//span/text()').extract()

            series_name_0 = ''.join(series_name_0)

            

            category_id = series_name.xpath(".//a[@href]").extract()

            category_id = ''.join(category_id)

            category_id = re.search('\d.?\d',category_id).group()

            

            catalogue_0.category_id = category_id # 次级产品系列ID

            catalogue_0.catalogue_name = series_name_0 # 次级产品系列的名称

            catalogue_0.catalogue_level = 2 # 次级产品系列的等级

            catalogue_0.father_id = _id # 父节点的ID

            

            existed_id = Catalogue.select().where((Catalogue.catalogue_name==series_name_0) & (Catalogue.category_id == category_id))

            if existed_id:

                #catalogue_0.save()

                pass

            else:

                catalogue_0.save(force_insert=True)  

#根据catalogue存储的数据来获取category_id拼接商品最外层的url链接

def get_catalogue_url():

    url_list = []

    #catalogue = Catalogue()

    id_data = Catalogue.select().where(Catalogue.catalogue_level==2)

    for item in id_data:

        url = category_url + str(item.category_id) + "&okey=salenum&order=desc"

        url_list.append(url)

    #id_data = Catalogue.get(Catalogue.series_level_0==1).category_id

    return url_list

def parse_product(url):

    #获取商品的详情以及销售数量

    res_text = requests.get(url).text 

    sel = Selector(text=res_text)

    res_li = sel.xpath("//div[@class='pro_list_div g-clearfix c']/ul//li[@class='goods_offset']")

    flag_num = 0

    for item in res_li:

        product_id = item.xpath('./div[contains(@class,"pro_pic_box")]/a[@href]').extract() # 产品ID

        product_id = re.search('id=.*\d\"',''.join(product_id))

        product_id = product_id.group().replace("id=","")

        product_id = product_id.replace("\"","")

        product_id = int(product_id)

        name = item.xpath("./div[@class='row row-2 title']/a/text()").extract() # 产品名字

        name = ''.join(name)

        price = item.xpath('./div[@id="goods_detail_b"]/div[@class="row row-1"]/div[@class="g_price fm2"]/strong/text()').extract() # 显示价格

        price = ''.join(price)

        try:

            price = float(price)

        except:

            print("价格会员可见|价格请咨询商家")

            continue

        sales_num = item.xpath("./div[@id='goods_detail_b']/div[2]/p[1]/text()").extract()  # 销售数量

        sales_num= ''.join(sales_num)

        sales_num = sales_num.split('销量：')[1]

        sales_num = int(sales_num)

        flag_num = sales_num

        if sales_num < 1:

            continue

        

        store_id = item.xpath("./div[@class='row row-3 c']/a[@href]").extract()

        store_id = re.search('id=.*\d\"',''.join(store_id))

        store_id = store_id.group().replace("id=","")

        store_id = store_id.replace("\"","")

        store_id = int(store_id)

        merchant = item.xpath("./div[@id='goods_detail_b']/div[2]/p[2]/text()").extract() # 商家

        merchant = ''.join(merchant)

        main_Products = item.xpath("./div[@id='goods_detail_b']/div[2]/p[3]/text()").extract() # 主营

        main_Products = ''.join(main_Products)

        merchant_Place = item.xpath("./div[@id='goods_detail_b']/div[2]/p[4]/text()").extract() # 地址

        merchant_Place = ''.join(merchant_Place)

    

        product = Product()

        product.product_id = product_id

        product.name = name

        product.price = price

        product.sales_num = sales_num

        product.store_id = store_id

        product.merchant = merchant

        product.main_Products = main_Products

        product.merchant_Place = merchant_Place

        

        existed_name = Product.select().where(Product.product_id==product_id)

        if existed_name:

            pass

            #product.save()

        else:

            product.save(force_insert=True)

        

    next_page = sel.xpath("//*[@class='pagination2']/a[@href]").extract()

    if len(next_page) > 2 and flag_num > 0:

        url_next = re.search('\".*\d\"',next_page[-1])

        url_next = url_next.group().replace("&amp;","&") # 此处&由于被转义成&amp;导致需要重新进行处理

        url_next = url_next.replace("\"","")

        url_next = parse.urljoin(domain,url_next)

        #print(url_next)

        parse_product(url_next)

    else:

        pass

#获取商品链接,上一级url为商品详情页

def parse_data_last(url):

    #store_id_list = []

    flag_num = 0

    #获取商品的详情标签

    while True:

        try:

            res_text = requests.get(url).text

        except:

            time.sleep(3)

            print('间隔休眠时间，再次处理')

        else:

            break

    sel = Selector(text=res_text)

    res_li = sel.xpath("//div[@class='pro_list_div g-clearfix c']/ul//li[@class='goods_offset']")

    for item in res_li:

        sales_num = item.xpath("./div[@id='goods_detail_b']/div[2]/p[1]/text()").extract() # 销售数量

        sales_num= ''.join(sales_num)

        sales_num = sales_num.split('销量：')[1]

        sales_num = int(sales_num)

        flag_num = int(sales_num)

        data = item.xpath("./div[@class='pro_pic_box']/a").extract()

        data = re.search('\".*\d\"',data[0])

        data = data.group().replace("&amp;","&")

        data = data.replace("\"","")

        data_url = parse.urljoin(domain,data) # 链接为销量排序之后的单个商品链接，传出链接

        print("开始获取商品：{}".format(data_url))

        if sales_num > 0:

            r.lpush('91jiafan:catalogue_url',data_url) # 此处存储商品的url,判断条件为销售数量大于0

    #此处代码用来切到下一页链接数据，商品的详情排布页

    next_page = sel.xpath("//*[@class='pagination2']/a[@href]").extract()

    if len(next_page) > 2 and flag_num > 0:

        url_next = re.search('\".*\d\"',next_page[-1])

        url_next = url_next.group().replace("&amp;","&") # 此处&由于被转义成&amp;导致需要重新进行处理

        url_next = url_next.replace("\"","") 

        url_next = parse.urljoin(domain,url_next)

        parse_data_last(url_next)  

#获取商品详细数据

def parse_product_data(url):

    #获取商品的详情以及销售数量

    product_id = url.split('id=')[1] # 对商品id进行切片处理，用来获取ajax数据

    res_text = requests.get(url).text

    sel = Selector(text=res_text)

    #筛选规则，当is_price之后的value属性值为0的时候，说明不需要咨询商家，同时需要注意的是，商品会有打折批次数量的差异导致价格差异，

    #这一点需要根据具体的显示页面来处理，现在忽略，由于可能存在打折段的数据差异，所以暂时不考虑

    Is_price = sel.xpath("//input[contains(@id,'is_price')]").extract()#取到的数据用来判断价格是否需要咨询商家

    if len(Is_price) < 1:

        print("页面数据为空")

    else:    

        is_value = re.search('\d',Is_price[0])

        if is_value.group() == '0': # 0表示商品价格不需要咨询商户

            datas = sel.xpath("//div[contains(@class,'show_all')]/table[1]//tr")

            price_base = 0.0

            if datas:

                #price_base 商品基准价格

                for item in range(len(datas)):

                    price = datas[item].xpath("./input[last()-1]").extract()

                    price = re.search('value=\".*\"',price[0])

                    price = re.search('\d.*\d',price[0])

                    price = price.group()

                    price_base = price_base + float(price)

                price_base = price_base  / len(datas) # 商品基准价格计算

            else:

                price_base = sel.xpath("//span[@class='price_num fl']/text()").extract()[1]

                price_base = price_base.replace(" ","")

                price_base = float(price_base)

                #print(type(price_base))

                #print(price_base)

            #此处获取商品的描述信息

            attributes_list = sel.xpath("//span[contains(@class,'attributes-list')]//li/text()").extract()

            str_attributes = ' '.join(attributes_list)

            str_attributes = str_attributes.replace("&nbsp;"," ") # 商品信息描述

            #此处发送请求获取商品购买数据

            url_sales = parse.urljoin(domain,'default.php?act=evallist')

            data = {

                'id': product_id,

                'page': '0',

                'info_type': 'sale'

            }

            response = requests.post(url_sales, data=data)

            buyer_num = response.json().get("member") # 购买人数

            sale_num = response.json().get('num') # 销售数量

            buyer_rate = response.json().get('re_buyer_rate') # 商品复购率

            product_id = int(product_id) # 此处对商品ID进行转换

            product_attributes = Product_attributes()

            product_attributes.product_id = product_id

            product_attributes.price_base = price_base

            product_attributes.attributes = str_attributes

            product_attributes.buyer_num = buyer_num

            product_attributes.sale_num = sale_num

            product_attributes.buyer_rate = buyer_rate

            

            existed_id = Product_attributes.select().where(Product_attributes.product_id==product_id)

            if existed_id:

                pass

                #product_attributes.save()

            else:

                print("开始保存商品详细信息：{}".format(url))

                product_attributes.save(force_insert=True)

                

        else :

            price = "价格请咨询商家"

#获取商户详细数据,处理逻辑为根据单个商品目录来获取对应的商户id

def parse_store_id(url):

    #print(url) # 打印当前商品页的url用来定位

    res_text = requests.get(url).text

    sel = Selector(text=res_text)

    store_id = 0

    #筛选规则，当is_price之后的value属性值为0的时候，说明不需要咨询商家，同时需要注意的是，商品会有打折批次数量的差异导致价格差异，

    #这一点需要根据具体的显示页面来处理，现在忽略，由于可能存在打折段的数据差异，所以暂时不考虑

    Is_price = sel.xpath("//input[contains(@id,'is_price')]").extract()#取到的数据用来判断价格是否需要咨询商家

    if len(Is_price) < 1:

        print("页面数据为空")

    else:    

        is_value = re.search('\d',Is_price[0])

        if is_value.group() == '0': # 0表示商品价格不需要咨询商户

            store_id = sel.xpath('//span[@class="container_title_span"]/a[@href]').extract()

            store_id = ''.join(store_id)

            store_id = re.search('storeid=\d*\"',store_id)

            store_id = store_id.group()

            store_id = store_id.split('storeid=')[1]

            store_id = store_id.replace("\"","")

            store_id = int(store_id) # 商户的id

        else :

            pass

    return store_id

#根据store_id拼接的url用来抓取商户的数据

def parse_store_data(url):

    res_text = requests.get(url).text

    sel = Selector(text=res_text)

    if len(res_text) > 10:

        store_name = sel.xpath('//span[contains(@class,"container_title_span")]/a[@href]/text()').extract()

        store_name = ''.join(store_name) # 商户的名字

        

        store_id = sel.xpath('//span[@class="container_title_span"]/a[@href]').extract()

        store_id = ''.join(store_id)

        store_id = re.search('storeid=\d*\"',store_id)

        store_id = store_id.group()

        store_id = store_id.split('storeid=')[1]

        store_id = store_id.replace("\"","")

        store_id = int(store_id) # 商户的id

        store_level = ''

        store_place = ''

        store_describe = ''

        store_supply = ''

        store_service = ''

        store_data = sel.xpath('//ul[contains(@class,"gy_info_list")]/li/text()').extract()

        if len(store_data) > 3:

            store_level = store_data[2] # 商户等级

            store_level = store_level.replace(" ","")

            store_level = store_level.replace("\n","")

            store_place = store_data[3] # 商户地址

            store_place = store_place.replace(" ","")

        store_aptitude = stor_url_aptitude + str(store_id) # 商户的资质

        temp_datas = sel.xpath('//li[contains(@class,"evaluate")]//div[@style]//text()').extract()

        if len(temp_datas) == 6:

            store_describe = temp_datas[0] + ':' + temp_datas[1] # 商户描述

            store_supply = temp_datas[2] + ':' + temp_datas[3] # 商户供货

            store_service = temp_datas[4] + ':' + temp_datas[5] # 商户服务

        

        store = Store()

        store.store_id = store_id

        store.store_name = store_name

        store.store_level = store_level

        store.store_place = store_place

        store.store_aptitude = store_aptitude

        store.store_describe = store_describe

        store.store_supply = store_supply

        store.store_service = store_service

        existed_id = Store.select().where(Store.store_id==store_id)

        if existed_id:

            pass

            #store.save()

        else:

            print("开始获取商户信息：{}".format(store_id))

            store.save(force_insert=True)

class ParseproductThread(Thread):

    def run(self):

        while(1):

            try:

                data = r.lpop('91jiafan:catalogue_url')

                print("开始处理商品：{}".format(data))

                parse_product_data(data)

                store_id = parse_store_id(data)

                store_id_url = store_url_domain + str(store_id)

                r.lpush('91jiafan:store_id_url',store_id_url)

            except:

                time.sleep(1)

                print("data is null")

class Parse_storedata_Thread(Thread):

    def run(self):

        while(1):

            try:

                data = r.lpop('91jiafan:store_id_url')

                print("开始处理商户：{}".format(data))

                parse_store_data(data)

            except:

                time.sleep(1)

                print("data is null")

class parse_91_url_Thread(Thread):

    def run(self):

        #获取最终需要抓取的url

        url_list = get_catalogue_url()

        for url in url_list:

            parse_data_last(url)

class parse_91_productdata_Thread(Thread):     

    def run(self):

        #提取商品列表页的数据

        url_list = get_catalogue_url()

        for url in url_list:

            parse_product(url)

if __name__ == "__main__":

    start_time = datetime.now()#

    

    process_nodes_list(domain)

    parse_91_url_thread = parse_91_url_Thread()

    parse_91_productdata_thread = parse_91_productdata_Thread()

    parse_product_thread = ParseproductThread()

    parse_storedata_thread = Parse_storedata_Thread()

    parse_91_url_thread.start()

    parse_91_productdata_thread.start()

    parse_product_thread.start()

    parse_storedata_thread.start()

    end_time = datetime.now()#

    print("一共使用时间：",end_time - start_time)