python伪代码之爬取完美志愿全国历年文理分数线运行代码持续更新:【内向即失败--王奕君】

# -*- coding:utf-8 -*-from function.data_tool import clean_dataimport hashlibimport furl.furlfrom crawlers.downloader import Downloaderfrom function.parse_tool import xpath_parsefrom function.database_tool import auto_sqlseverdown=Downloader(proxy='http://104.224.138.224:8888/proxy')a = {'吉林': '22', '河北': '13', '陕西': '61', '山西': '14', '青海': '63', '湖南': '43', '广东': '44', '安徽': '34', '四川': '51',     '江西': '36', '浙江': '33', '贵州': '52', '新疆': '65', '内蒙古': '15', '西藏': '54', '江苏': '32', '广西': '45', '湖北': '42',     '海南': '46', '河南': '41', '山东': '37', '福建': '35', '云南': '53', '上海': '31', '北京': '11', '天津': '12', '甘肃': '62',     '宁夏': '64', '黑龙江': '23', '重庆': '50', '辽宁': '21'}b = ['安徽', '北京', '重庆', '福建', '甘肃', '贵州', '广东', '广西', '湖北', '海南', '黑龙江', '湖南', '河南', '河北', '吉林', '江西', '江苏', '辽宁', '宁夏',     '内蒙古', '青海', '山西', '山东', '陕西', '四川', '上海', '天津', '西藏', '新疆', '云南', '浙江']c=['wen','li']url='https://www.wmzy.com/api/score/getScoreList?type=wen&province=33'reform_url=furl.furl(url)W=auto_sqlsever.Mssql(database='provincescore',datatable=['ScoreProvince'])for province in b:     for subject in c:          field_info=[]          key_word=a[province]          reform_url.args['type']=subject          reform_url.args['province']=key_word          response=down.get(url=reform_url,typ='text',encoding='utf-8')          htmlcode = eval(clean_data.clean_space(response))['htmlStr']          xpath_html = xpath_parse.text_tolxml(htmlcode)          year = xpath_html.xpath('string(//th[normalize-space(text())="录取批次"]/..)').replace('\r', '').replace('\t','').replace(               '录取批次', '').replace(' ', '')          year_split = year.split()          ben_yi = xpath_html.xpath('string(//td[normalize-space(text())="本科第一批"]/..)').replace('\r', '').replace('\t',                                                                                                           '').replace(               '本科第一批', '').replace(' ', '')          ben_yi_split = ben_yi.split()          ben_er = xpath_html.xpath('string(//td[normalize-space(text())="本科第二批"]/..)').replace('\r', '').replace('\t',                                                                                                           '').replace(               '本科第二批', '').replace(' ', '')          ben_er_split = ben_er.split()          ben_san = xpath_html.xpath('string(//td[normalize-space(text())="本科第三批"]/..)').replace('\r', '').replace('\t',                                                                                                            '').replace(               '本科第三批', '').replace(' ', '')          ben_san_split = ben_san.split()          zhuan_yi = xpath_html.xpath('string(//td[normalize-space(text())="专科第一批"]/..)').replace('\r', '').replace('\t',                                                                                                             '').replace(               '专科第一批', '').replace(' ', '')          zhuan_yi_split = zhuan_yi.split()          zhuan_er = xpath_html.xpath('string(//td[normalize-space(text())="专科第二批"]/..)').replace('\r', '').replace('\t',                                                                                                             '').replace(               '专科第二批', '').replace(' ', '')          zhuan_er_split = zhuan_er.split()          if 'wen' in subject:               subject='文科'          else:               subject='理科'          print(zhuan_yi_split,zhuan_er_split,ben_san_split,ben_er_split,ben_yi_split)          provincemd5=[hashlib.md5(province.encode()).hexdigest()]*8          tiqian=[0]*8          field_info.extend([[province]*8,provincemd5,year_split,[subject]*8,tiqian,ben_yi_split,ben_er_split,ben_san_split,zhuan_yi_split,zhuan_er_split])          W.insert_data(field_info)