thread_process_action

import math
import random
import re
import sys
import threading
from time import ctime, sleep
from lxml import etree
import pprint
import requests
from selenium import webdriver
 
f = open('spider_北上广深_district.txt', 'r', encoding='utf-8')
f.closed
POOL_URL_DISTRICT_LIST = []
for i in f:
    d = i.replace('\n', '').replace(' ', '').split('"')
    for ii in d:
        if ii.find('http') > -1:
            POOL_URL_DISTRICT_LIST.append(ii)
 
POOL_URL_DISTRICT_MAXPAGE_NUM_DIC = {}
 
res_dic = {}
 
# https://m.lianjia.com/gz/ershoufang/tianhequ/pg23/
# https://m.lianjia.com/sz/ershoufang/longhuaqu/pg23/
# https://m.lianjia.com/bj/ershoufang/haidianqu/pg34/
# 'https://sz.lianjia.com/ershoufang/futianqu/'
# 'https://gz.lianjia.com/ershoufang/panyu/'
# 'https://bj.lianjia.com/ershoufang/miyun/'
 
POOL_URL_DISTRICT_LIST_B = []
MAX_PAGE_NUM = 100
 
def gen_url(num=MAX_PAGE_NUM):
    for url in POOL_URL_DISTRICT_LIST:
        l = url.split('//')[1].split('lianjia')
        [city, district] = l
        city = city[:-1]
        district = district.split('.com/')[1]
        if city != 'sh':
            url_ = '%s%s/%s' % ('https://m.lianjia.com/', city, district)
        else:
            url_ = '%s%s/' % ('http://m.sh.lianjia.com/', district)
 
        POOL_URL_DISTRICT_MAXPAGE_NUM_DIC[url_] = num
        POOL_URL_DISTRICT_LIST_B.append(url_)
 
gen_url()
exception_url_list = []
 
URL_NUM_EACH_THREAD = 100 * 0.6 * 4
res_dic = {}
 
# QPS_TIME_UNIT_B = 2
 
todo_url_list = []
for url_ in POOL_URL_DISTRICT_LIST_B:
    if url_.find('sh.') > -1:
        page_addition = 'd'
    else:
        page_addition = 'pg'
    for page_num in range(1, MAX_PAGE_NUM, 1):
        url = '%s%s%s/' % (url_, page_addition, page_num)
        todo_url_list.append(url)
 
LEN = len(todo_url_list)
 
browser = webdriver.Firefox()
 
def grab_todo_url_list(browser):
    global res_dic, todo_url_list
 
    d = random.randint(1, 2)
    if d % 2 == 0:
        todo_url_list.reverse()
 
    my_control = len(todo_url_list)
    my_control_start = random.randint(0, my_control)
    for i in range(my_control_start, my_control, 1):
        if len(todo_url_list) > i:
            url = todo_url_list[i]
        if url not in todo_url_list:
            continue
        sleep(1)
        browser.get(url)
        html = browser.page_source
        web_site = ''
        url_pass_flag = 0
        if html.find('price_total') > -1:
            selector = etree.HTML(html)
            url_l = selector.xpath('//a[@class="a_mask"]/@href')
            des_l = selector.xpath('//div[@class="item_other text_cut"]/text()')
            price_total_l = selector.xpath('//span[@class="price_total"]/em/text()')
            unit_price_l = selector.xpath('//span[@class="unit_price"]/text()')
            url_pass_flag = 1
        elif html.find('xiaoquname') > -1:
            web_site = 'sh'
            selector = etree.HTML(html)
            url_l = selector.xpath('//ul[@class="fang-list"]/li/a/@href')
            xiaoquname_l = selector.xpath('//span[@class="xiaoquname"]/text()')
            area_l = selector.xpath('//p[@class="f-area"]/text()')
            price_total_l = selector.xpath('//span[@class="f-price"]/text()')
            url_pass_flag = 1
        # https://m.lianjia.com/bj/ershoufang/yizhuangkaifaqu/pg87
        # http://m.sh.lianjia.com/ershoufang/jinshan/d78
        elif html.find('搜索条件') > -1 or url.find('/lf/') > -1:
            print(111, url)
            url_pass_flag = 2
        if url_pass_flag == 1:
            res_dic[url] = {}
            len_l = len(url_l)
            res_dic[url]['items_list'] = []
            len_l_ = len_l - 1
            for i in range(0, len_l_, 1):
                d = {}
                d['spider_url'] = url
                d['item_url'] = url_l[i]
                d['des'] = des_l[i] if web_site == '' else '%s||%s' % (
                    area_l[i].replace('\n', '').replace(',', '').replace(' ', ''),
                    xiaoquname_l[i].replace(',', '').replace(' ', ''))
                d['price_total'] = price_total_l[i]
                d['unit_price'] = unit_price_l[i] if web_site == '' else 'sh'
                res_dic[url]['items_list'].append(d)
        if url_pass_flag != 0:
            if url in todo_url_list:
                l_index = todo_url_list.index(url)
                del todo_url_list[l_index]
        else:
            if url not in todo_url_list:
                todo_url_list.append(url)
    browser.close()
 
class MyThread(threading.Thread):
    def __init__(self, func, args, name=''):
        threading.Thread.__init__(self)
        self.name = name
        self.func = func
        self.args = args
 
    def run(self):
        self.func(self.args)
 
MAX_EXCEPTION_URL_NUM = 0
 
def deal_exception_url_list():
    global todo_url_list
    browser = webdriver.Firefox()
    if len(todo_url_list) > MAX_EXCEPTION_URL_NUM:
        grab_todo_url_list(browser)
    else:
        return
    deal_exception_url_list()
 
POOL_URL_LEN_B = len(POOL_URL_DISTRICT_LIST_B)
 
def main():
    print('starting at:', ctime())
    threads_list = []
    thread_sum = math.ceil(LEN / URL_NUM_EACH_THREAD)
    for nloop in range(0, thread_sum, 1):
        browser = webdriver.Firefox()
        thread_instance = MyThread(grab_todo_url_list, (browser), grab_todo_url_list.__name__)
        threads_list.append(thread_instance)
    # 主进程将在所有非守护进程退出后，退出
    for t in threads_list:
        t.setDaemon = False
        t.start()
    # wait for all thrades to finish
    for t in threads_list:
        t.join()
    # pprint.pprint(res_dic)
    deal_exception_url_list()
    print('end_r:', ctime())
    f_name = 'mobile_lianjia_ershoufang_BSGS.csv'
    f = open(f_name, 'w', encoding='utf-8-sig')
    str = 'spider_url,item_url,des,price_total,unit_price\n'
    f.write(str)
    f.closed
    f = open(f_name, 'a', encoding='utf-8-sig')
 
    for url in res_dic:
        try:
            for d in res_dic[url]['items_list']:
                str = '%s,%s,%s,%s,%s\n' % (d['spider_url'], d['item_url'], d['des'], d['price_total'], d['unit_price'])
                f.write(str)
        except Exception:
            print(Exception)
    f.closed
    print('end_w:', ctime())
 
if __name__ == '__main__':
    main()

# -*- coding: UTF-8 -*-
import math
import random
import sys
import threading
from time import ctime, sleep
 
import requests
 
MAX_PAGINATION = 100
pagination = MAX_PAGINATION
QPS = 50
QPS_TIME_UNIT = 1
# http://lbs.amap.com/api/webservice/guide/tools/info
INFOCODE_OK = ''
file_name_key_pool = 'key_pool.pool'
KEY_POOL_LIST = []
touse_key = ''
f = open(file_name_key_pool, 'r', encoding='utf-8')
for i in f:
    try:
        list_ = i.split('\t')
        key = i.split('\t')[1].split()
        KEY_POOL_LIST.append(key[0])
    except Exception:
        print(Exception)
KEY_POOL_NUM_INDICATOR = len(KEY_POOL_LIST)
 
URL_TYPE = 'http://restapi.amap.com/v3/place/text'
touse_key = ''
keywords = '&keywords='
OFFSET = '&offset=2'
CITYLIMIT = '&citylimit=false'
# 060100    购物服务    商场    商场
# 060101    购物服务    商场    购物中心
# 060102    购物服务    商场    普通商场
# 060400    购物服务    超级市场    超市
 
POI_TYPES = '&types=060100|060101|060102|060400'
URL_FOR_CHANGE_KEY = 'http://restapi.amap.com/v3/place/text?key=%s&types=060100&city=010&OFFSET=1'
 
change_key_qps = 0
 
def change_key():
    global touse_key, change_key_qps
    # 高德没有遵守自己的QPS/日限策略；所不能通过其返回码，来控制key的使用；
    mean_use_key = random.randint(0, KEY_POOL_NUM_INDICATOR)
    for i in range(mean_use_key, KEY_POOL_NUM_INDICATOR, 1):
        key = KEY_POOL_LIST[i]
        if key == touse_key:
            if i == KEY_POOL_NUM_INDICATOR:
                change_key()
                return
            else:
                continue
        touse_key = key
        url = URL_FOR_CHANGE_KEY % (touse_key)
        try:
            change_key_qps += 1
            if change_key_qps % QPS == 0:
                sleep(QPS_TIME_UNIT)
            r = requests.get(url)
            json_ = r.json()
        except Exception:
            print('requests.get(url)', Exception)
            change_key()
            return
        infocode = json_['infocode']
        if not infocode == INFOCODE_OK:
            if i == KEY_POOL_NUM_INDICATOR:
                sys.exit('NOInvalidKEY')
            change_key()
            return
        return
 
FNAME = '【商场任务】28个城市_任务列表_20170727 - 副本.csv'
tosupply_dic = {}
todo_list = []
fo = open(FNAME, 'r', encoding='gbk')
file_line_num = 0
for i in fo:
    file_line_num += 1
    if file_line_num == 1:
        continue
    todo_list.append(file_line_num)
    tosupply_dic[file_line_num] = {}
    l = i.replace('\n', '').replace(',,,,,,,', '').split(',')
    dic_ = {}
    dic_['sequence_number'] = l[0]
    dic_['type'] = l[1]
    dic_['city'] = l[2]
    dic_['district'] = l[3]
    dic_['address'] = l[4]
    dic_['name'] = l[5]
    dic_['gd_type_1'], dic_['gd_type_2'], dic_['gd_type_3'], dic_['gd_name'], dic_['gd_province'], dic_['gd_city'], \
    dic_['gd_district'], dic_['gd_address'] = ['', '', '', '', '', '', '', '']
    tosupply_dic[file_line_num] = dic_
LEN = len(todo_list)
EACH_THREAD_REQUEST_NUM = 30
 
requests_counter = 0
tosupply_dic_len = len(tosupply_dic)
tosupply_dic_len_ = tosupply_dic_len - 1
 
def supply_dic(nloop):
    global tosupply_dic, requests_counter, todo_list
    print(len(todo_list))
    d = random.randint(1, 2)
    if d % 2 == 0:
        todo_list.reverse()
 
    for file_line_num in todo_list:
        if file_line_num not in todo_list:
            continue
        t = threading.current_thread()
        print('nloop=',nloop)
        print(' t._ident=',t._ident)
        dic_ = tosupply_dic[file_line_num]
        city = dic_['district']
        name = dic_['name']
        url = '%s?key=%s&keywords=%s&city=%s%s%s%s' % (URL_TYPE, touse_key, name, city, POI_TYPES, OFFSET, CITYLIMIT)
        if requests_counter % QPS == 0:
            sleep(QPS_TIME_UNIT)
        try:
            r = requests.get(url)
            r_json = r.json()
        except Exception:
            if file_line_num not in todo_list:
                todo_list.append(file_line_num)
            continue
        infocode = r_json['infocode']
        if infocode == '':
            count = r_json['count']
            if int(count) > 0:
                pois_list = r_json['pois']
                pos_dic = pois_list[0]
                tosupply_dic[file_line_num]['gd_type_one'] = pos_dic['type']
                tosupply_dic[file_line_num]['gd_type_1'], tosupply_dic[file_line_num]['gd_type_2'], \
                tosupply_dic[file_line_num]['gd_type_3'] = pos_dic['type'].split('|')[0].split(';')
                tosupply_dic[file_line_num]['gd_province'] = pos_dic['pname']
                tosupply_dic[file_line_num]['gd_city'] = pos_dic['cityname']
                tosupply_dic[file_line_num]['gd_district'] = pos_dic['adname']
                tosupply_dic[file_line_num]['gd_address'] = pos_dic['address']
            elif int(count) == 0:
                tosupply_dic[file_line_num]['gd_name'] = 'GD-NO-DATA'
            if file_line_num in todo_list:
                list_index = todo_list.index(file_line_num)
                del todo_list[list_index]
            print(file_line_num)
        else:
            if file_line_num not in todo_list:
                todo_list.append(file_line_num)
            change_key()
 
MAX_EXCEPTION_URL_NUM = 0
 
def deal_exception_list():
    global todo_list
    print(todo_list)
    if len(todo_list) > MAX_EXCEPTION_URL_NUM:
        supply_dic()
    else:
        return
    deal_exception_list()
 
class MyThread(threading.Thread):
    def __init__(self, func, args, name=''):
        threading.Thread.__init__(self)
        self.name = name
        self.func = func
        self.args = args
 
    def run(self):
        self.func(self.args)
 
def main():
    print('starting at:', ctime())
    threads_list = []
    thread_sum = math.ceil(tosupply_dic_len / EACH_THREAD_REQUEST_NUM)
    print(185, thread_sum)
    for nloop in range(0, thread_sum, 1):
        thread_instance = MyThread(supply_dic,(nloop),supply_dic.__name__)
        threads_list.append(thread_instance)
    # 主进程将在所有非守护进程退出后，退出
    for t in threads_list:
        t.setDaemon = False
        t.start()
    # wait for all thrades to finish
    for t in threads_list:
        t.join()
    deal_exception_list()
 
    FGEN = 'GEN_28.csv'
    fo = open(FGEN, 'w', encoding='utf-8-sig')
    fo.write(
        '序号,类别编号,城市名称,区域    地址,商圈名,gd_type_one,gd_type_1,gd_type_2,gd_type_3,gd_name,gd_province,gd_city,gd_district,gd_address\n')
    fo.closed
    fo = open(FGEN, 'a', encoding='utf-8-sig')
    for file_line_num in tosupply_dic:
        if file_line_num == 1:
            continue
        dic_ = tosupply_dic[file_line_num]
        str = '%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s\n' % (
            dic_['sequence_number'], dic_['type'], dic_['city'], dic_['district'], dic_['address'],
            dic_['name'], dic_['gd_type_one'], dic_['gd_type_1'], dic_['gd_type_2'], dic_['gd_type_3'], dic_['gd_name'],
            dic_['gd_province'],
            dic_['gd_city'],
            dic_['gd_district'],
            dic_['gd_address'])
        fo.write(str)
    fo.closed
 
if __name__ == '__main__':
    main()

16G内存OK   4G内存 --- no

# -*- coding: UTF-8 -*-
import math
import random
import sys
import threading
from time import ctime, sleep
 
import requests
 
# fo = open('电影院任务列表_20170724_新增列 - 副本 (12).csv', 'r', encoding='utf-8')
# file_line_num = 0
# for i in fo:
#     if file_line_num == 0:
#         continue
#     l = i.replace('\n','').split(',')
#
# ddd = 5
# MAX_OFFSET = 25
# OFFSET = MAX_OFFSET - 1
MAX_PAGINATION = 100
pagination = MAX_PAGINATION
QPS = 50
QPS_TIME_UNIT = 1
# http://lbs.amap.com/api/webservice/guide/tools/info
INFOCODE_OK = ''
file_name_key_pool = 'key_pool.pool'
KEY_POOL_LIST = []
touse_key = ''
f = open(file_name_key_pool, 'r', encoding='utf-8')
for i in f:
    try:
        list_ = i.split('\t')
        key = i.split('\t')[1].split()
        KEY_POOL_LIST.append(key[0])
    except Exception:
        print(Exception)
KEY_POOL_NUM_INDICATOR = len(KEY_POOL_LIST)
 
# http://restapi.amap.com/v3/place/text?key=&keywords=奥斯卡漯河店&types=080601&city=漯河&offset=1
# http://restapi.amap.com/v3/place/text?key=&keywords=奥斯卡漯河店&types=080601&city=漯河&offset=2
# 2得到的结果更接近期望值
URL_TYPE = 'http://restapi.amap.com/v3/place/text'
touse_key = ''
keywords = '&keywords='
OFFSET = '&offset=2'
## 己方数据  city-name 不匹配 citylimit true-->false
# 华中区    湖北    钟祥                    电影院    横店荆门店    横店影视股份有限公司    0    GD-NO-DATA
CITYLIMIT = '&citylimit=false'
# 080601    体育休闲服务    影剧院    电影院
POI_TYPES = '&types=080601'
URL_FOR_CHANGE_KEY = 'http://restapi.amap.com/v3/place/text?key=%s&types=060100&city=010&OFFSET=1'
 
change_key_qps = 0
 
def change_key():
    global touse_key, change_key_qps
    # 高德没有遵守自己的QPS/日限策略；所不能通过其返回码，来控制key的使用；
    mean_use_key = random.randint(0, KEY_POOL_NUM_INDICATOR)
    for i in range(mean_use_key, KEY_POOL_NUM_INDICATOR, 1):
        key = KEY_POOL_LIST[i]
        if key == touse_key:
            if i == KEY_POOL_NUM_INDICATOR:
                change_key()
                return
            else:
                continue
        touse_key = key
        url = URL_FOR_CHANGE_KEY % (touse_key)
        try:
            change_key_qps += 1
            if change_key_qps % QPS == 0:
                sleep(QPS_TIME_UNIT)
            r = requests.get(url)
            json_ = r.json()
        except Exception:
            print('requests.get(url)', Exception)
            change_key()
            return
        infocode = json_['infocode']
        if not infocode == INFOCODE_OK:
            if i == KEY_POOL_NUM_INDICATOR:
                sys.exit('NOInvalidKEY')
            change_key()
            return
        return
 
FNAME = '电影院任务列表_20170724.csv'
tosupply_dic = {}
fo = open(FNAME, 'r', encoding='gbk')
file_line_num = 0
for i in fo:
    file_line_num += 1
    if file_line_num == 1:
        continue
    tosupply_dic[file_line_num] = {}
    is_from_past_line = 1 if len(i.split(',,,,,,,,')) > 1 else 0
    l = i.replace('\n', '').replace(',,,,,,,', '').split(',')
    dic_ = {}
    dic_['sequence_number'] = l[0]
    dic_['area'] = l[1] if is_from_past_line == 0 else  tosupply_dic[file_line_num - 1]['area']
    dic_['province'] = l[2] if is_from_past_line == 0 else  tosupply_dic[file_line_num - 1][
        'province']
    dic_['city'] = l[3] if is_from_past_line == 0 else  tosupply_dic[file_line_num - 1]['city']
    dic_['district'] = ''
    dic_['address'] = ''
    dic_['buliding'] = ''
    dic_['longitude_latitude'] = ''
    dic_['busniess_type'] = l[8] if is_from_past_line == 0 else l[1]
    dic_['name'] = l[9] if is_from_past_line == 0 else l[2]
    dic_['parent_company'] = l[10] if is_from_past_line == 0 else  tosupply_dic[file_line_num - 1]['parent_company']
    dic_['is_from_past_line'] = is_from_past_line
    dic_['gd_name'] = ''
    dic_['gd_city'] = ''
    tosupply_dic[file_line_num] = dic_
 
EACH_THREAD_REQUEST_NUM = 30
exception_line_num_list = []
 
# keywords = '&keywords='
# OFFSET = '&offset=1'
# CITYLIMIT = '&citylimit=true'
# # 080601    体育休闲服务    影剧院    电影院
# POI_TYPES = '&types=080601'
#
# http://restapi.amap.com/v3/place/text?key=&keywords=重庆万盛DAV国际影城&city=重庆&types=080601&offset=1&citylimit=true
requests_counter = 0
tosupply_dic_len = len(tosupply_dic)
tosupply_dic_len_ = tosupply_dic_len - 1
 
# thread_strat_file_line_num
def supply_dic(thread_strat_file_line_num):
    global tosupply_dic, requests_counter, tosupply_dic_len_, exception_line_num_list
    for loop in range(0, EACH_THREAD_REQUEST_NUM, 1):
        file_line_num = thread_strat_file_line_num + loop
        if file_line_num - 2 > tosupply_dic_len_:
            return
        if file_line_num < 2 or len(tosupply_dic[file_line_num]['district']) > 0:
            if file_line_num in exception_line_num_list:
                list_index = exception_line_num_list.index(file_line_num)
                del exception_line_num_list[list_index]
            continue
        dic_ = tosupply_dic[file_line_num]
        city = dic_['city']
        name = dic_['name']
        url = '%s?key=%s&keywords=%s&city=%s%s%s%s' % (URL_TYPE, touse_key, name, city, POI_TYPES, OFFSET, CITYLIMIT)
        if requests_counter % QPS == 0:
            sleep(QPS_TIME_UNIT)
        try:
            r = requests.get(url)
            r_json = r.json()
        except Exception:
            if file_line_num not in exception_line_num_list:
                exception_line_num_list.append(file_line_num)
            continue
        infocode = r_json['infocode']
        if infocode == '':
            count = r_json['count']
            if int(count) > 0:
                pois_list = r_json['pois']
                pos_dic = pois_list[0]
                tosupply_dic[file_line_num]['district'] = pos_dic['adname']
 
                if len(pos_dic['address']) <= 2:
                    print(pos_dic)
                    print(pos_dic['address'])
                tosupply_dic[file_line_num]['address'] = pos_dic['address'] if len(pos_dic['address']) > 2 else '高德缺地址'
                if len(pos_dic['address']) <= 2:
                    print(tosupply_dic[file_line_num]['address'])
                tosupply_dic[file_line_num]['longitude_latitude'] = pos_dic['location']
                tosupply_dic[file_line_num]['gd_name'] = pos_dic['name']
                tosupply_dic[file_line_num]['gd_city'] = pos_dic['cityname']
 
            elif int(count) == 0:
                tosupply_dic[file_line_num]['gd_name'] = 'GD-NO-DATA'
            if file_line_num in exception_line_num_list:
                list_index = exception_line_num_list.index(file_line_num)
                del exception_line_num_list[list_index]
        else:
            if file_line_num not in exception_line_num_list:
                exception_line_num_list.append(file_line_num)
            change_key()
 
MAX_EXCEPTION_URL_NUM = 0
 
def deal_exception_list():
    global exception_line_num_list
    print(exception_line_num_list)
    if len(exception_line_num_list) > MAX_EXCEPTION_URL_NUM:
        for thread_strat_file_line_num in exception_line_num_list:
            supply_dic(thread_strat_file_line_num)
    else:
        return
    deal_exception_list()
 
class MyThread(threading.Thread):
    def __init__(self, func, args, name=''):
        threading.Thread.__init__(self)
        self.name = name
        self.func = func
        self.args = args
 
    def run(self):
        self.func(self.args)
 
# 通灌北路58号苏宁广场7层701
# 林源路创基尚城B区3层
# 民治书香门第上河坊2栋2层
# 东欣大道东欣广场城市综合体E01四楼
# 横栏镇茂辉工业区乐丰四路21号永耀商业广场B幢之四(永耀人才市场旁)
# 信江路西侧金峰城市广场1栋5层502(鹏泰购物广场5楼、迪欧咖啡楼上)
# 上陡门学院中路人才大厦一层(东瓯影城)
# 丰庆路710号(世纪联华超市4楼)
# 风度中路13号百老汇商业城5层(美特斯邦威楼上)
# 龙阳路2000号(龙阳广场5层)
# 容城大道东12号(容城天骄写字楼3层)
# 解放大道387号(汉口宗关水厂)南国西汇城市广场二期5层
# 后沙峪镇安泰大街9号院(中粮祥云小镇)7号楼2层
# 华强新天地3楼华时代美食城门口(横店电影院门口)
# 南三环西路16号1号楼首地大峡谷购物中心5层
# 永兴路7号院1号楼龙湖北京大兴天街购物中心L3层Z2
def gen_building(str):
    start_ = 0
    end_ = len(str)
    res = ''
    start_flag = 0
    end_flag = 0
    if str.find('号') > -1:
        start_ = str.find('号') + 1
        start_flag = 1
    elif str.find('交汇处') > -1:
        start_ = str.find('交汇处') + 1 + 2
        start_flag = 1
    elif str.find('交叉口') > -1:
        start_ = str.find('交叉口') + 1 + 2
        start_flag = 1
    elif str.find('路') > -1:
        start_ = str.find('路') + 1
        start_flag = 1
    elif str.find('道') > -1:
        start_ = str.find('道') + 1
        start_flag = 1
 
    if str.find('层') > -1:
        end_ = str.find('层') + 1
        end_flag = 1
    elif str.find('楼') > -1:
        end_ = str.find('楼') + 1
        end_flag = 1
    if start_flag == 1 or end_flag == 1:
        res = ''.join((list(str)[start_:end_]))
        if res.find('(') > -1 or res.find('（') > -1:
            # new rule
            res = res.replace('(', '').replace(')', '').replace('（', '').replace('）', '')
    return res
 
def main():
    print('starting at:', ctime())
    threads_list = []
    thread_sum = math.ceil(tosupply_dic_len / EACH_THREAD_REQUEST_NUM)
    print(185, thread_sum)
    for nloop in range(0, thread_sum, 1):
        thread_strat_file_line_num = nloop * EACH_THREAD_REQUEST_NUM
        print(thread_strat_file_line_num)
        thread_instance = MyThread(supply_dic, (thread_strat_file_line_num), supply_dic.__name__)
        threads_list.append(thread_instance)
        # 主进程将在所有非守护进程退出后，退出
    for t in threads_list:
        t.setDaemon = False
        t.start()
    # wait for all thrades to finish
    for t in threads_list:
        t.join()
    # pprint.pprint(res_dic)
 
    deal_exception_list()
    for i in exception_line_num_list:
        print('EXCEPTION', i)
    FGEN = '电影院任务列表_20170724_新增列_已计算楼宇.csv'
    fo = open(FGEN, 'w', encoding='utf-8-sig')
    fo.write('序号,地理区域,省份,城市,区域,地址,所属楼宇,经纬度,商圈属性,店铺名,所属院线,is_from_past_line,gd_name,gd_city\n')
    fo.closed
    fo = open(FGEN, 'a', encoding='utf-8-sig')
    for file_line_num in tosupply_dic:
        if file_line_num == 1:
            continue
        dic_ = tosupply_dic[file_line_num]
        str = '%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s\n' % (
            dic_['sequence_number'], dic_['area'], dic_['province'], dic_['city'], dic_['district'],
            dic_['address'].replace(',', '  '),
            gen_building(dic_['address']), dic_['longitude_latitude'].replace(',', ' '), dic_['busniess_type'],
            dic_['name'],
            dic_['parent_company'],
            dic_['is_from_past_line'], dic_['gd_name'], dic_['gd_city'])
        fo.write(str)
    fo.closed
 
if __name__ == '__main__':
    main()

# -*- coding: UTF-8 -*-
import math
import random
import sys
import threading
from time import ctime, sleep
 
import requests
 
# fo = open('电影院任务列表_20170724_新增列 - 副本 (12).csv', 'r', encoding='utf-8')
# file_line_num = 0
# for i in fo:
#     if file_line_num == 0:
#         continue
#     l = i.replace('\n','').split(',')
#
# ddd = 5
# MAX_OFFSET = 25
# OFFSET = MAX_OFFSET - 1
MAX_PAGINATION = 100
pagination = MAX_PAGINATION
QPS = 50
QPS_TIME_UNIT = 1
# http://lbs.amap.com/api/webservice/guide/tools/info
INFOCODE_OK = '10000'
file_name_key_pool = 'key_pool.pool'
KEY_POOL_LIST = []
touse_key = ''
f = open(file_name_key_pool, 'r', encoding='utf-8')
for i in f:
    try:
        list_ = i.split('\t')
        key = i.split('\t')[1].split()
        KEY_POOL_LIST.append(key[0])
    except Exception:
        print(Exception)
KEY_POOL_NUM_INDICATOR = len(KEY_POOL_LIST)
 
# http://restapi.amap.com/v3/place/text?key=&keywords=奥斯卡漯河店&types=080601&city=漯河&offset=1
# http://restapi.amap.com/v3/place/text?key=&keywords=奥斯卡漯河店&types=080601&city=漯河&offset=2
# 2得到的结果更接近期望值
URL_TYPE = 'http://restapi.amap.com/v3/place/text'
touse_key = ''
keywords = '&keywords='
OFFSET = '&offset=2'
## 己方数据  city-name 不匹配 citylimit true-->false
# 华中区	湖北	钟祥					电影院	横店荆门店	横店影视股份有限公司	0	GD-NO-DATA
CITYLIMIT = '&citylimit=false'
# 080601	体育休闲服务	影剧院	电影院
POI_TYPES = '&types=080601'
URL_FOR_CHANGE_KEY = 'http://restapi.amap.com/v3/place/text?key=%s&types=060100&city=010&OFFSET=1'
 
change_key_qps = 0
 
def change_key():
    global touse_key, change_key_qps
    # 高德没有遵守自己的QPS/日限策略；所不能通过其返回码，来控制key的使用；
    mean_use_key = random.randint(0, KEY_POOL_NUM_INDICATOR)
    for i in range(mean_use_key, KEY_POOL_NUM_INDICATOR, 1):
        key = KEY_POOL_LIST[i]
        if key == touse_key:
            if i == KEY_POOL_NUM_INDICATOR:
                change_key()
                return
            else:
                continue
        touse_key = key
        url = URL_FOR_CHANGE_KEY % (touse_key)
        try:
            change_key_qps += 1
            if change_key_qps % QPS == 0:
                sleep(QPS_TIME_UNIT)
            r = requests.get(url)
            json_ = r.json()
        except Exception:
            print('requests.get(url)', Exception)
            change_key()
            return
        infocode = json_['infocode']
        if not infocode == INFOCODE_OK:
            if i == KEY_POOL_NUM_INDICATOR:
                sys.exit('NOInvalidKEY')
            change_key()
            return
        return
 
FNAME = '电影院任务列表_20170724.csv'
tosupply_dic = {}
fo = open(FNAME, 'r', encoding='gbk')
file_line_num = 0
for i in fo:
    file_line_num += 1
    if file_line_num == 1:
        continue
    tosupply_dic[file_line_num] = {}
    is_from_past_line = 1 if len(i.split(',,,,,,,,')) > 1 else 0
    l = i.replace('\n', '').replace(',,,,,,,', '').split(',')
    dic_ = {}
    dic_['sequence_number'] = l[0]
    dic_['area'] = l[1] if is_from_past_line == 0 else  tosupply_dic[file_line_num - 1]['area']
    dic_['province'] = l[2] if is_from_past_line == 0 else  tosupply_dic[file_line_num - 1][
        'province']
    dic_['city'] = l[3] if is_from_past_line == 0 else  tosupply_dic[file_line_num - 1]['city']
    dic_['district'] = ''
    dic_['address'] = ''
    dic_['buliding'] = ''
    dic_['longitude_latitude'] = ''
    dic_['busniess_type'] = l[8] if is_from_past_line == 0 else l[1]
    dic_['name'] = l[9] if is_from_past_line == 0 else l[2]
    dic_['parent_company'] = l[10] if is_from_past_line == 0 else  tosupply_dic[file_line_num - 1]['parent_company']
    dic_['is_from_past_line'] = is_from_past_line
    dic_['gd_name'] = ''
    dic_['gd_city'] = ''
    tosupply_dic[file_line_num] = dic_
 
EACH_THREAD_REQUEST_NUM = 30
exception_line_num_list = []
 
# keywords = '&keywords='
# OFFSET = '&offset=1'
# CITYLIMIT = '&citylimit=true'
# # 080601	体育休闲服务	影剧院	电影院
# POI_TYPES = '&types=080601'
#
# http://restapi.amap.com/v3/place/text?key=&keywords=重庆万盛DAV国际影城&city=重庆&types=080601&offset=1&citylimit=true
requests_counter = 0
tosupply_dic_len = len(tosupply_dic)
tosupply_dic_len_ = tosupply_dic_len - 1
 
# thread_strat_file_line_num
def supply_dic(thread_strat_file_line_num):
    global tosupply_dic, requests_counter, tosupply_dic_len_, exception_line_num_list
    for loop in range(0, EACH_THREAD_REQUEST_NUM, 1):
        file_line_num = thread_strat_file_line_num + loop
        if file_line_num - 2 > tosupply_dic_len_:
            return
        if file_line_num < 2 or len(tosupply_dic[file_line_num]['district']) > 0:
            if file_line_num in exception_line_num_list:
                list_index = exception_line_num_list.index(file_line_num)
                del exception_line_num_list[list_index]
            continue
        dic_ = tosupply_dic[file_line_num]
        city = dic_['city']
        name = dic_['name']
        url = '%s?key=%s&keywords=%s&city=%s%s%s%s' % (URL_TYPE, touse_key, name, city, POI_TYPES, OFFSET, CITYLIMIT)
        if requests_counter % QPS == 0:
            sleep(QPS_TIME_UNIT)
        try:
            r = requests.get(url)
            r_json = r.json()
        except Exception:
            if file_line_num not in exception_line_num_list:
                exception_line_num_list.append(file_line_num)
            continue
        infocode = r_json['infocode']
        if infocode == '10000':
            count = r_json['count']
            if int(count) > 0:
                pois_list = r_json['pois']
                pos_dic = pois_list[0]
                tosupply_dic[file_line_num]['district'] = pos_dic['adname']
 
                if len(pos_dic['address']) <= 2:
                    print(pos_dic)
                    print(pos_dic['address'])
                tosupply_dic[file_line_num]['address'] = pos_dic['address'] if len(pos_dic['address']) > 2 else '高德缺地址'
                if len(pos_dic['address']) <= 2:
                    print(tosupply_dic[file_line_num]['address'])
                tosupply_dic[file_line_num]['longitude_latitude'] = pos_dic['location']
                tosupply_dic[file_line_num]['gd_name'] = pos_dic['name']
                tosupply_dic[file_line_num]['gd_city'] = pos_dic['cityname']
 
            elif int(count) == 0:
                tosupply_dic[file_line_num]['gd_name'] = 'GD-NO-DATA'
            if file_line_num in exception_line_num_list:
                list_index = exception_line_num_list.index(file_line_num)
                del exception_line_num_list[list_index]
        else:
            if file_line_num not in exception_line_num_list:
                exception_line_num_list.append(file_line_num)
            change_key()
 
MAX_EXCEPTION_URL_NUM = 0
 
def deal_exception_list():
    global exception_line_num_list
    print(exception_line_num_list)
    if len(exception_line_num_list) > MAX_EXCEPTION_URL_NUM:
        for thread_strat_file_line_num in exception_line_num_list:
            supply_dic(thread_strat_file_line_num)
    else:
        return
    deal_exception_list()
 
class MyThread(threading.Thread):
    def __init__(self, func, args, name=''):
        threading.Thread.__init__(self)
        self.name = name
        self.func = func
        self.args = args
 
    def run(self):
        self.func(self.args)
 
# 通灌北路58号苏宁广场7层701
# 林源路创基尚城B区3层
# 民治书香门第上河坊2栋2层
# 东欣大道东欣广场城市综合体E01四楼
# 横栏镇茂辉工业区乐丰四路21号永耀商业广场B幢之四(永耀人才市场旁)
# 信江路西侧金峰城市广场1栋5层502(鹏泰购物广场5楼、迪欧咖啡楼上)
# 上陡门学院中路人才大厦一层(东瓯影城)
# 丰庆路710号(世纪联华超市4楼)
# 风度中路13号百老汇商业城5层(美特斯邦威楼上)
# 龙阳路2000号(龙阳广场5层)
# 容城大道东12号(容城天骄写字楼3层)
# 解放大道387号(汉口宗关水厂)南国西汇城市广场二期5层
# 后沙峪镇安泰大街9号院(中粮祥云小镇)7号楼2层
# 华强新天地3楼华时代美食城门口(横店电影院门口)
# 南三环西路16号1号楼首地大峡谷购物中心5层
# 永兴路7号院1号楼龙湖北京大兴天街购物中心L3层Z2
def gen_building(str):
    start_ = 0
    end_ = len(str)
    res = ''
    start_flag = 0
    end_flag = 0
    if str.find('号') > -1:
        start_ = str.find('号') + 1
        start_flag = 1
    elif str.find('交汇处') > -1:
        start_ = str.find('交汇处') + 1 + 2
        start_flag = 1
    elif str.find('交叉口') > -1:
        start_ = str.find('交叉口') + 1 + 2
        start_flag = 1
    elif str.find('路') > -1:
        start_ = str.find('路') + 1
        start_flag = 1
    elif str.find('道') > -1:
        start_ = str.find('道') + 1
        start_flag = 1
 
    if str.find('层') > -1:
        end_ = str.find('层') + 1
        end_flag = 1
    elif str.find('楼') > -1:
        end_ = str.find('楼') + 1
        end_flag = 1
    if start_flag == 1 or end_flag == 1:
        res = ''.join((list(str)[start_:end_]))
        if res.find('('):
            # new rule
            res = res.replace('(', '').replace(')', '')
    return res
 
def main():
    print('starting at:', ctime())
    threads_list = []
    thread_sum = math.ceil(tosupply_dic_len / EACH_THREAD_REQUEST_NUM)
    print(185, thread_sum)
    for nloop in range(0, thread_sum, 1):
        thread_strat_file_line_num = nloop * EACH_THREAD_REQUEST_NUM
        print(thread_strat_file_line_num)
        thread_instance = MyThread(supply_dic, (thread_strat_file_line_num), supply_dic.__name__)
        threads_list.append(thread_instance)
        # 主进程将在所有非守护进程退出后，退出
    for t in threads_list:
        t.setDaemon = False
        t.start()
    # wait for all thrades to finish
    for t in threads_list:
        t.join()
    # pprint.pprint(res_dic)
 
    deal_exception_list()
    for i in exception_line_num_list:
        print('EXCEPTION', i)
    FGEN = '电影院任务列表_20170724_新增列_已计算楼宇.csv'
    fo = open(FGEN, 'w', encoding='utf-8-sig')
    fo.write('序号,地理区域,省份,城市,区域,地址,所属楼宇,经纬度,商圈属性,店铺名,所属院线,is_from_past_line,gd_name,gd_city\n')
    fo.closed
    fo = open(FGEN, 'a', encoding='utf-8-sig')
    for file_line_num in tosupply_dic:
        if file_line_num == 1:
            continue
        dic_ = tosupply_dic[file_line_num]
        str = '%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s\n' % (
            dic_['sequence_number'], dic_['area'], dic_['province'], dic_['city'], dic_['district'],
            dic_['address'].replace(',', '  '),
            gen_building(dic_['address']), dic_['longitude_latitude'].replace(',', ' '), dic_['busniess_type'],
            dic_['name'],
            dic_['parent_company'],
            dic_['is_from_past_line'], dic_['gd_name'], dic_['gd_city'])
        fo.write(str)
    fo.closed
 
if __name__ == '__main__':
    main()

　　

高德缺地址
{'id': 'B0FFGJYCPN', 'name': '横店电影城(原阳店)', 'type': '体育休闲服务;影剧院;电影院', 'typecode': '', 'biz_type': 'cinema', 'address': [], 'location': '113.960307,35.065736', 'tel': '0373-5911199', 'distance': [], 'biz_ext': [], 'pname': '河南省', 'cityname': '新乡市', 'adname': '原阳县', 'importance': [], 'shopid': [], 'shopinfo': '', 'poiweight': []}
[]
高德缺地址
{'id': 'B0FFH0368R', 'name': '横店电影城', 'type': '体育休闲服务;影剧院;电影院', 'typecode': '', 'biz_type': 'cinema', 'address': [], 'location': '118.430053,29.862110', 'tel': [], 'distance': [], 'biz_ext': [], 'pname': '安徽省', 'cityname': '黄山市', 'adname': '歙县', 'importance': [], 'shopid': [], 'shopinfo': '', 'poiweight': []}
[]
高德缺地址
[300, 30, 2, 390, 330, 480, 570, 900, 840, 450, 1140, 630, 990, 180, 1050, 90, 240, 360, 720, 750, 690, 1170, 60, 1230, 960, 210, 1200, 930, 510, 150, 600, 870, 1080, 810, 660, 540, 270, 420, 1110, 120, 780, 1020, 1113, 813, 544, 69, 94, 119]
[390, 330, 570, 840, 1140, 990, 1050, 240, 720, 690, 60, 960, 1200, 510, 600, 1080, 660, 270, 1110, 780, 1113]
[330, 840, 990, 240, 690, 960, 510, 1080, 270, 780]
[840, 240, 960, 1080, 780]
[240, 1080]
[1080]
[]

# -*- coding: UTF-8 -*-
import re
import pprint
import json
import time
import math
import sys
import requests
import threading
from time import ctime, sleep
import random
 
# fo = open('电影院任务列表_20170724_新增列 - 副本 (12).csv', 'r', encoding='utf-8')
# file_line_num = 0
# for i in fo:
#     if file_line_num == 0:
#         continue
#     l = i.replace('\n','').split(',')
#
# ddd = 5
# MAX_OFFSET = 25
# OFFSET = MAX_OFFSET - 1
MAX_PAGINATION = 100
pagination = MAX_PAGINATION
QPS = 50
QPS_TIME_UNIT = 1
# http://lbs.amap.com/api/webservice/guide/tools/info
INFOCODE_OK = ''
file_name_key_pool = 'key_pool.pool'
KEY_POOL_LIST = []
touse_key = ''
f = open(file_name_key_pool, 'r', encoding='utf-8')
for i in f:
    try:
        list_ = i.split('\t')
        key = i.split('\t')[1].split()
        KEY_POOL_LIST.append(key[0])
    except Exception:
        print(Exception)
KEY_POOL_NUM_INDICATOR = len(KEY_POOL_LIST)
 
# http://restapi.amap.com/v3/place/text?key=&keywords=奥斯卡漯河店&types=080601&city=漯河&offset=1
# http://restapi.amap.com/v3/place/text?key=&keywords=奥斯卡漯河店&types=080601&city=漯河&offset=2
# 2得到的结果更接近期望值
URL_TYPE = 'http://restapi.amap.com/v3/place/text'
touse_key = ''
keywords = '&keywords='
OFFSET = '&offset=2'
## 己方数据  city-name 不匹配 citylimit true-->false
# 华中区    湖北    钟祥                    电影院    横店荆门店    横店影视股份有限公司    0    GD-NO-DATA
CITYLIMIT = '&citylimit=false'
# 080601    体育休闲服务    影剧院    电影院
POI_TYPES = '&types=080601'
URL_FOR_CHANGE_KEY = 'http://restapi.amap.com/v3/place/text?key=%s&types=060100&city=010&OFFSET=1'
 
change_key_qps = 0
 
def change_key():
    global touse_key, change_key_qps
    # 高德没有遵守自己的QPS/日限策略；所不能通过其返回码，来控制key的使用；
    mean_use_key = random.randint(0, KEY_POOL_NUM_INDICATOR)
    for i in range(mean_use_key, KEY_POOL_NUM_INDICATOR, 1):
        key = KEY_POOL_LIST[i]
        if key == touse_key:
            if i == KEY_POOL_NUM_INDICATOR:
                change_key()
                return
            else:
                continue
        touse_key = key
        url = URL_FOR_CHANGE_KEY % (touse_key)
        try:
            change_key_qps += 1
            if change_key_qps % QPS == 0:
                sleep(QPS_TIME_UNIT)
            r = requests.get(url)
            json_ = r.json()
        except Exception:
            print('requests.get(url)', Exception)
            change_key()
            return
        infocode = json_['infocode']
        if not infocode == INFOCODE_OK:
            if i == KEY_POOL_NUM_INDICATOR:
                sys.exit('NOInvalidKEY')
            change_key()
            return
        return
 
FNAME = '电影院任务列表_20170724.csv'
tosupply_dic = {}
fo = open(FNAME, 'r', encoding='gbk')
file_line_num = 0
for i in fo:
    file_line_num += 1
    if file_line_num == 1:
        continue
    tosupply_dic[file_line_num] = {}
    is_from_past_line = 1 if len(i.split(',,,,,,,,')) > 1 else 0
    l = i.replace('\n', '').replace(',,,,,,,', '').split(',')
    dic_ = {}
    dic_['sequence_number'] = l[0]
    dic_['area'] = l[1] if is_from_past_line == 0 else  tosupply_dic[file_line_num - 1]['area']
    dic_['province'] = l[2] if is_from_past_line == 0 else  tosupply_dic[file_line_num - 1][
        'province']
    dic_['city'] = l[3] if is_from_past_line == 0 else  tosupply_dic[file_line_num - 1]['city']
    dic_['district'] = ''
    dic_['address'] = ''
    dic_['buliding'] = ''
    dic_['longitude_latitude'] = ''
    dic_['busniess_type'] = l[8] if is_from_past_line == 0 else l[1]
    dic_['name'] = l[9] if is_from_past_line == 0 else l[2]
    dic_['parent_company'] = l[10] if is_from_past_line == 0 else  tosupply_dic[file_line_num - 1]['parent_company']
    dic_['is_from_past_line'] = is_from_past_line
    dic_['gd_name'] = ''
    dic_['gd_city'] = ''
    tosupply_dic[file_line_num] = dic_
 
EACH_THREAD_REQUEST_NUM = 30
exception_line_num_list = []
 
# keywords = '&keywords='
# OFFSET = '&offset=1'
# CITYLIMIT = '&citylimit=true'
# # 080601    体育休闲服务    影剧院    电影院
# POI_TYPES = '&types=080601'
#
# http://restapi.amap.com/v3/place/text?key=&keywords=重庆万盛DAV国际影城&city=重庆&types=080601&offset=1&citylimit=true
requests_counter = 0
tosupply_dic_len = len(tosupply_dic)
tosupply_dic_len_ = tosupply_dic_len - 1
 
# thread_strat_file_line_num
def supply_dic(thread_strat_file_line_num):
    global tosupply_dic, requests_counter, tosupply_dic_len_, exception_line_num_list
    for loop in range(0, EACH_THREAD_REQUEST_NUM, 1):
        file_line_num = thread_strat_file_line_num + loop
        if file_line_num - 2 > tosupply_dic_len_:
            return
        if file_line_num < 2 or len(tosupply_dic[file_line_num]['district']) > 0:
            if file_line_num in exception_line_num_list:
                list_index = exception_line_num_list.index(file_line_num)
                del exception_line_num_list[list_index]
            continue
        dic_ = tosupply_dic[file_line_num]
        city = dic_['city']
        name = dic_['name']
        url = '%s?key=%s&keywords=%s&city=%s%s%s%s' % (URL_TYPE, touse_key, name, city, POI_TYPES, OFFSET, CITYLIMIT)
        if requests_counter % QPS == 0:
            sleep(QPS_TIME_UNIT)
        try:
            r = requests.get(url)
            r_json = r.json()
        except Exception:
            if file_line_num not in exception_line_num_list:
                exception_line_num_list.append(file_line_num)
            continue
        infocode = r_json['infocode']
        if infocode == '':
            count = r_json['count']
            if int(count) > 0:
                pois_list = r_json['pois']
                pos_dic = pois_list[0]
                tosupply_dic[file_line_num]['district'] = pos_dic['adname']
 
                if len(pos_dic['address']) <= 2:
                    print(pos_dic)
                    print(pos_dic['address'])
                tosupply_dic[file_line_num]['address'] = pos_dic['address'] if len(pos_dic['address']) > 2 else '高德缺地址'
                if len(pos_dic['address']) <= 2:
                    print(tosupply_dic[file_line_num]['address'])
                tosupply_dic[file_line_num]['longitude_latitude'] = pos_dic['location']
                tosupply_dic[file_line_num]['gd_name'] = pos_dic['name']
                tosupply_dic[file_line_num]['gd_city'] = pos_dic['cityname']
 
            elif int(count) == 0:
                tosupply_dic[file_line_num]['gd_name'] = 'GD-NO-DATA'
            if file_line_num in exception_line_num_list:
                list_index = exception_line_num_list.index(file_line_num)
                del exception_line_num_list[list_index]
        else:
            if file_line_num not in exception_line_num_list:
                exception_line_num_list.append(file_line_num)
            change_key()
 
MAX_EXCEPTION_URL_NUM = 0
 
def deal_exception_list():
    global exception_line_num_list
    print(exception_line_num_list)
    if len(exception_line_num_list) > MAX_EXCEPTION_URL_NUM:
        for thread_strat_file_line_num in exception_line_num_list:
            supply_dic(thread_strat_file_line_num)
    else:
        return
    deal_exception_list()
 
class MyThread(threading.Thread):
    def __init__(self, func, args, name=''):
        threading.Thread.__init__(self)
        self.name = name
        self.func = func
        self.args = args
 
    def run(self):
        self.func(self.args)
 
def gen_building(str):
    start_ = 0
    end_ = 0
    if str.find('号') > -1:
        start_ = str.find('号') + 1
    elif str.find('路') > -1:
        start_ = str.find('路') + 1
    elif str.find('道') > -1:
        start_ = str.find('道') + 1
 
    if str.find('层') > -1:
        end_ = str.find('层') + 1
    elif str.find('楼') > -1:
        end_ = str.find('楼') + 1
 
    if end_ - start_ > 3:
        return ''.join((list(str)[start_:end_]))
    else:
        return ''
 
def main():
    print('starting at:', ctime())
    threads_list = []
    thread_sum = math.ceil(tosupply_dic_len / EACH_THREAD_REQUEST_NUM)
    print(185, thread_sum)
    for nloop in range(0, thread_sum, 1):
        thread_strat_file_line_num = nloop * EACH_THREAD_REQUEST_NUM
        print(thread_strat_file_line_num)
        thread_instance = MyThread(supply_dic, (thread_strat_file_line_num), supply_dic.__name__)
        threads_list.append(thread_instance)
        # 主进程将在所有非守护进程退出后，退出
    for t in threads_list:
        t.setDaemon = False
        t.start()
    # wait for all thrades to finish
    for t in threads_list:
        t.join()
    # pprint.pprint(res_dic)
 
    deal_exception_list()
    for i in exception_line_num_list:
        print('EXCEPTION', i)
    FGEN = '电影院任务列表_20170724_新增列_已计算楼宇.csv'
    fo = open(FGEN, 'w', encoding='utf-8-sig')
    fo.write('序号,地理区域,省份,城市,区域,地址,所属楼宇,经纬度,商圈属性,店铺名,所属院线,is_from_past_line,gd_name,gd_city\n')
    fo.closed
    fo = open(FGEN, 'a', encoding='utf-8-sig')
    for file_line_num in tosupply_dic:
        if file_line_num == 1:
            continue
        dic_ = tosupply_dic[file_line_num]
        str = '%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s\n' % (
            dic_['sequence_number'], dic_['area'], dic_['province'], dic_['city'], dic_['district'],
            dic_['address'].replace(',', '  '),
            gen_building(dic_['address']), dic_['longitude_latitude'].replace(',', ' '), dic_['busniess_type'],
            dic_['name'],
            dic_['parent_company'],
            dic_['is_from_past_line'], dic_['gd_name'], dic_['gd_city'])
        fo.write(str)
    fo.closed
 
if __name__ == '__main__':
    main()

{'id': 'B02DD0R6M6', 'name': '横店电影城(大汉店)', 'type': '体育休闲服务;影剧院;电影院', 'typecode': '', 'biz_type': 'cinema', 'address': [], 'location': '113.149267,27.838133', 'tel': '0731-22915555', 'distance': [], 'biz_ext': [], 'pname': '湖南省', 'cityname': '株洲市', 'adname': '芦淞区', 'importance': [], 'shopid': [], 'shopinfo': '', 'poiweight': []}
[]
高德缺地址
{'id': 'B0FFGJYCPN', 'name': '横店电影城(原阳店)', 'type': '体育休闲服务;影剧院;电影院', 'typecode': '', 'biz_type': 'cinema', 'address': [], 'location': '113.960307,35.065736', 'tel': '0373-5911199', 'distance': [], 'biz_ext': [], 'pname': '河南省', 'cityname': '新乡市', 'adname': '原阳县', 'importance': [], 'shopid': [], 'shopinfo': '', 'poiweight': []}
[]
高德缺地址
{'id': 'B0FFH0368R', 'name': '横店电影城', 'type': '体育休闲服务;影剧院;电影院', 'typecode': '', 'biz_type': 'cinema', 'address': [], 'location': '118.430053,29.862110', 'tel': [], 'distance': [], 'biz_ext': [], 'pname': '安徽省', 'cityname': '黄山市', 'adname': '歙县', 'importance': [], 'shopid': [], 'shopinfo': '', 'poiweight': []}
[]
高德缺地址
[, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ]
[, , , , , , , , , , , , , , , , , , , , ]

    if url in exception_url_list:
        l_index = exception_url_list.index(url)
        print(139, 'del')
        del exception_url_list[l_index]
 
class MyThread(threading.Thread):
    def __init__(self, func, args, name=''):
        threading.Thread.__init__(self)
        self.name = name
        self.func = func
        self.args = args
 
    def run(self):
        self.func(self.args)
 
MAX_EXCEPTION_URL_NUM = 60
 
def deal_exception_url_list():
    global exception_url_list
    if len(exception_url_list) > MAX_EXCEPTION_URL_NUM:
        for url in exception_url_list:
            grab_one_url(url)
    else:
        return
    deal_exception_url_list()

# -*- coding: UTF-8 -*-
 
import math
import random
import re
import sys
import threading
from time import ctime, sleep
from lxml import etree
import pprint
import requests
 
BASE_URL = 'https://www.dianping.com/'
url_district_list = []
GLUE = 'search'
f = open('spider_深圳_district_bussi-nav_url_list - 副本.txt', 'r', encoding='utf-8')
f.closed
SCALA = 'SCALA'
for i in f:
    URL_POOL = i.split(SCALA)
    break
 
URL_POOL_LEN = len(URL_POOL)
URL_NUM_EACH_THREAD = 1
# {url:{}}
res_dic = {}
 
MAX_PAGE_NUM = 50
QPS = 30
request_counter = 0
QPS_TIME_UNIT = 1
 
# url = '%s%s%sp%s' % (BASE_URL, GLUE, URL_POOL[1], 3)
# print(url)
# r = requests.get(url)
# html = r.text
# selector = etree.HTML(html)
# page_title = selector.xpath('//title/text()')
# page_Keywords = selector.xpath('//meta[@name="Keywords"]')[0].attrib['content']
# data_ga_index_1 = selector.xpath('.//a[@data-ga-index="1"]/span/text()')[0]
# data_ga_index_2 = selector.xpath('.//a[@data-ga-index="2"]/span/text()')[0]
# data_ga_index_3 = selector.xpath('.//a[@data-ga-index="3"]/span/text()')[0]
# res_dic[url] = {}
# res_dic[url]['page_title'] = page_title
# res_dic[url]['page_Keywords'] = page_Keywords
# res_dic[url]['data_ga_index_1'] = data_ga_index_1
# res_dic[url]['data_ga_index_2'] = data_ga_index_2
# res_dic[url]['data_ga_index_3'] = data_ga_index_3
#
# name_l = selector.xpath('.//li[@class=""]//h4/text()')
#
# mean_price_l = selector.xpath('.//li[@class=""]//a[@class="mean-price"]/b/text()')
#
# flavour_l = selector.xpath('.//li[@class=""]//div[@class="tag-addr"]/a[1]/span/text()')
#
# position_l = selector.xpath('.//li[@class=""]//div[@class="tag-addr"]/a[2]/span/text()')
#
# address_l = selector.xpath('.//li[@class=""]//div[@class="tag-addr"]/span/text()')
#
# len_l = len(name_l)
# res_dic[url]['items_num'] = len_l
# res_dic[url]['items_list'] = []
# len_l_ = len_l - 1
# for i in range(0, len_l_, 1):
#     d = {}
#     d['name'] = name_l[i]
#     d['mean_price'] = mean_price_l[i]
#     d['flavour'] = flavour_l[i]
#     d['position'] = position_l[i]
#     d['address'] = address_l[i]
#     res_dic[url]['items_list'].append(d)
#
# d = 4
 
exception_url_list = []
 
def grab_one_url(url):
    global res_dic, request_counter, exception_url_list
    if request_counter % QPS == 0:
        print(36, 'sleep', request_counter)
        sleep(QPS_TIME_UNIT)
 
    request_counter += 1
    try:
        r = requests.get(url)
    except Exception:
        if url not in exception_url_list:
            exception_url_list.append(url)
            print(exception_url_list)
        return
    html = r.text
    selector = etree.HTML(html)
    page_title = selector.xpath('//title/text()')[0]
 
    try:
        page_Keywords = selector.xpath('//meta[@name="Keywords"]')[0].attrib['content'].replace(',', '、')
    except Exception:
        if url not in exception_url_list:
            exception_url_list.append(url)
            print(exception_url_list)
        return
 
    data_ga_index_1 = selector.xpath('.//a[@data-ga-index="1"]/span/text()')[0]
    data_ga_index_2 = selector.xpath('.//a[@data-ga-index="2"]/span/text()')[0]
    data_ga_index_3 = selector.xpath('.//a[@data-ga-index="3"]/span/text()')[0]
    res_dic[url] = {}
    res_dic[url]['page_title'] = page_title
    res_dic[url]['page_Keywords'] = page_Keywords
    res_dic[url]['data_ga_index_1'] = data_ga_index_1
    res_dic[url]['data_ga_index_2'] = data_ga_index_2
    res_dic[url]['data_ga_index_3'] = data_ga_index_3
 
    name_l = selector.xpath('.//li[@class=""]//h4/text()')
 
    mean_price_l = selector.xpath('.//li[@class=""]//a[@class="mean-price"]/b/text()')
 
    flavour_l = selector.xpath('.//li[@class=""]//div[@class="tag-addr"]/a[1]/span/text()')
 
    position_l = selector.xpath('.//li[@class=""]//div[@class="tag-addr"]/a[2]/span/text()')
 
    address_l = selector.xpath('.//li[@class=""]//div[@class="tag-addr"]/span/text()')
 
    len_l = len(name_l)
    res_dic[url]['items_num'] = len_l
    res_dic[url]['items_list'] = []
    len_l_ = len_l - 1
    for i in range(0, len_l_, 1):
        d = {}
        d['name'] = name_l[i].replace(',', '、')
        d['mean_price'] = mean_price_l[i] if len(mean_price_l) - 1 >= i else ''
        d['flavour'] = flavour_l[i]
        d['position'] = position_l[i]
        # https://www.dianping.com/search/category/7/10/r12335p1
        d['address'] = address_l[i].replace(',', '、')
        res_dic[url]['items_list'].append(d)
 
    if url in exception_url_list:
        l_index = exception_url_list.index(url)
        print(139, 'del')
        del exception_url_list[l_index]
 
class MyThread(threading.Thread):
    def __init__(self, func, args, name=''):
        threading.Thread.__init__(self)
        self.name = name
        self.func = func
        self.args = args
 
    def run(self):
        self.func(self.args)
 
MAX_EXCEPTION_URL_NUM = 60
 
def deal_exception_url_list():
    global exception_url_list
    if len(exception_url_list) > MAX_EXCEPTION_URL_NUM:
        for url in exception_url_list:
            grab_one_url(url)
    else:
        return
    deal_exception_url_list()
 
def main():
    print('starting at:', ctime())
    threads_list = []
    thread_sum = math.ceil(URL_POOL_LEN / URL_NUM_EACH_THREAD)
    for nloop in range(0, URL_POOL_LEN, 1):
        for nnloop in range(1, MAX_PAGE_NUM, 1):
            url = URL_POOL[nloop]
            url = '%s%s%sp%s' % (BASE_URL, GLUE, url, nnloop)
            print(62, url)
            thread_instance = MyThread(grab_one_url, (url), grab_one_url.__name__)
            threads_list.append(thread_instance)
            # 主进程将在所有非守护进程退出后，退出
    for t in threads_list:
        print(70, t)
        t.setDaemon = False
        t.start()
    # wait for all thrades to finish
    for t in threads_list:
        t.join()
    # pprint.pprint(res_dic)
 
    deal_exception_url_list()
 
    f_name = 'dzdp_基于区-大商圈的餐馆列表-深圳.csv'
    f = open(f_name, 'w', encoding='utf-8-sig')
    f.write('')
    f.closed
    f = open(f_name, 'a', encoding='utf-8-sig')
    str = 'name,mean_price, flavour, position,address,url,page_title, page_Keywords, data_ga_index_1, data_ga_index_2, data_ga_index_3,\n'
    f.write(str)
    for url in res_dic:
        page_title = res_dic[url]['page_title']
        page_Keywords = res_dic[url]['page_Keywords']
        data_ga_index_1 = res_dic[url]['data_ga_index_1']
        data_ga_index_2 = res_dic[url]['data_ga_index_2']
        data_ga_index_3 = res_dic[url]['data_ga_index_3']
        for d in res_dic[url]['items_list']:
            name = d['name']
            mean_price = d['mean_price']
            flavour = d['flavour']
            position = d['position']
            address = d['address']
            str = '%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s\n' % (
                name, mean_price, flavour, position, address, url, page_title, page_Keywords, data_ga_index_1,
                data_ga_index_2, data_ga_index_3)
            f.write(str)
    f.closed
 
    f_name = 'dzdp_基于区-大商圈的餐馆列表-深圳_EXCEPTION_URL.csv'
    f = open(f_name, 'w', encoding='utf-8-sig')
    f.write('')
    f.closed
    f = open(f_name, 'a', encoding='utf-8-sig')
    for url in exception_url_list:
        f.write(url + '\n')
    f.closed
 
if __name__ == '__main__':
    main()
#
#
# d = 3
# url = ('%s%s%sp%s') % (BASE_URL, GLUE, '/category/7/10/r1949', 100)
# print(url)
#
#
 
#
#
# class MyThread(threading.Thread):
#     def __init__(self, func, args, name=''):
#         threading.Thread.__init__(self)
#         self.name = name
#         self.func = func
#         self.args = args
#
#     def run(self):
#         self.func(self.args)
#
#
# def main():
#     print('starting at:', ctime())
#     threads_list = []
#     thread_sum = math.ceil(file_line_list_len / file_jump_step_num)
#     print(thread_sum)
#     for nloop in range(1, thread_sum, 1):
#         print(nloop)
#         thread_instance = MyThread(get_exception_logic_split_loop, (nloop), get_exception_logic_split_loop.__name__)
#
#         threads_list.append(thread_instance)
#     # 主进程将在所有非守护进程退出后，退出
#     for t in threads_list:
#         print(t)
#         t.setDaemon = False
#         t.start()
#     # wait for all thrades to finish
#     for t in threads_list:
#         t.join()
#     f_name = 'ALL.csv'
#     f = open(f_name, 'w', encoding='utf-8-sig')
#     f.write('')
#     f.closed
#     f = open(f_name, 'a', encoding='utf-8-sig')
#     str = 'city, district, name, address, if_in_business_area, if_in_business_area_criterion,catering_kind, average_price, data_from\n'
#     f.write(str)
#     ## city,district,address,name,catering_kind,average_price,data_from
#     count_write_rows = 0
#     for i in cater_dic:
#         city = i
#         if city == '城市':
#             continue
#         for ii in cater_dic[i]:
#             district = ii
#             for iii in cater_dic[i][ii]:
#                 name = iii
#                 for iv in cater_dic[i][ii][iii]:
#                     address = iv
#                     catering_kind = cater_dic[i][ii][iii][iv]['catering_kind']
#                     average_price = cater_dic[i][ii][iii][iv]['average_price']
#                     if_in_business_area = cater_dic[i][ii][iii][iv]['if_in_business_area']
#                     if_in_business_area_criterion = cater_dic[i][ii][iii][iv]['if_in_business_area_criterion']
#                     data_from = cater_dic[i][ii][iii][iv]['data_from']
#                     str = '%s,%s,%s,%s,%s,%s,%s,%s,%s\n' % (
#                         city, district, name, address, if_in_business_area, if_in_business_area_criterion,
#                         catering_kind, average_price, data_from)
#                     f.write(str)
#                     count_write_rows += 1
#     f.closed
#     print(count_write_rows)
#
#
# if __name__ == '__main__':
#     main()
#
#
#
#
#
#
#
#
# d = 4
# URL_POOL = f.detach()
#
# # {district:bussi-nav:[page]}
# SPIDER_URL_DISTRICT_DIC = {}
# for i in f:
#     d = i.replace('\n', '').replace(' ', '')
#     if d.find(GLUE) > -1:
#         dd = d.split(GLUE)[1].split('\"')[0]
#         SPIDER_URL_DISTRICT_DIC[dd] = []
# QPS = 50
# TIME_UNIT = 1
# qps_counter = 0
# for k in SPIDER_URL_DISTRICT_DIC:
#     url = '%s%s%s' % (BASE_URL, GLUE, k)
#     print(url)
#     qps_counter += 1
#     if qps_counter % QPS == 0:
#         sleep(TIME_UNIT)
#     try:
#         r = requests.get(url)
#         print(r.status_code)
#         txt = r.text.replace('\r', '').replace(' ', '').split('\n')
#         start_flag = 0
#         for d in txt:
#             if d.find('id="bussi-nav') > -1:
#                 start_flag = 1
#             else:
#                 if start_flag == 1:
#                     if d.find('/div') > -1:
#                         start_flag = 0
#                     else:
#                         dd = d.split(GLUE)[1].split('\"')[0]
#                         SPIDER_URL_DISTRICT_DIC[k].append(dd)
#                         print(dd)
#     except Exception:
#         # 修改为，2个函数，递归请求
#         print('EXCEPTION', url)
#         print(Exception)
#
# SCALA = 'SCALA'
# str = ''
# for k in SPIDER_URL_DISTRICT_DIC:
#     for url in SPIDER_URL_DISTRICT_DIC[k]:
#         str += SCALA + url
# print(str)
# str = str[5:]
# print(str)
# f = open('spider_深圳_district_bussi-nav_url_list.txt', 'w', encoding='utf-8')
# f.write(str)
# f.closed
#
# d = 5
#
# d = 3
#
# url = 'https://www.dianping.com/search/category/7/10/r29'
# r = requests.get(url)
#
# d = 5
# ZHITONGZI_CITY_DIC = {}
# f = open('直筒子市_东莞中山.txt', 'r', encoding='utf-8')
# ZHITONGZI_CITY_DIC['东莞市'] = []
# ZHITONGZI_CITY_DIC['中山市'] = []
# c = 0
# for i in f:
#     ii = i.split('；')
#     for iii in ii:
#         iv = iii.split('、')
#         if len(iv) > 2:
#             c += 1
#             for v in iv:
#                 if v.find('（') > -1:
#                     v_ = v.split('（')[1]
#                 elif v.find('）') > -1:
#                     v_ = v.split('）')[0]
#                 else:
#                     v_ = v
#                 if c == 1 or c == 2:
#                     ZHITONGZI_CITY_DIC['东莞市'].append(v_)
#                 elif c == 3 or c == 4:
#                     ZHITONGZI_CITY_DIC['中山市'].append(v_)
# f.closed
#
#
# def chk_is_coffee(str):
#     l_ = ['coffee', 'coffe', 'cafe', 'café', 'starbucks', 'caffé']
#     # 上岛花式铁板烧    日本菜
#     # 泛太平洋大酒店面馆    其他
#     l_b = ['咖啡', '星巴克']
#     # 星巴克
#     for i in l_:
#         if str.upper().find(i.upper()) != -1:
#             return True
#     for i in l_b:
#         if str.find(i) != -1:
#             return True
#     return False
#
#
# def chk_kfc_mdl(str):
#     if str.find(u"麦当劳") != -1:
#         return 1
#     elif str.find(u"肯德基") != -1 or str.upper().find(u"KFC") != -1:
#         return 0
#     else:
#         return 2
#
#
# def get_name(str):
#     if str.find("麦当劳") != -1:
#         return '麦当劳'
#     elif str.find("肯德基") != -1 or str.upper().find(u"KFC") != -1:
#         return '肯德基'
#     else:
#         # str = '狗不理包子（前门店）'
#         # str =  '（清真）三羊水饺(新民路店)'
#         # | 添椒 | 潮涮三国IP火锅
#         if str.find('（') == -1 and str.find('(') == -1:
#             return str
#         res = str.strip(' ').split('（')[0].strip(' ')
#         if len(res) == 0:
#             try:
#                 res = str.split('）')[1].split('(')[0]
#             except Exception:
#                 print(Exception)
#         # 一锅两头牛(烟青路店)
#         res_b = res
#         try:
#             res_b = res.split('(')[0]
#         except Exception:
#             print(Exception)
#
#         return res_b
#
#
# def chk_city_district(str):
#     city_district = str.replace(' ', '')
#     if re.match(r".*[a-zA-Z0-9]", city_district) is not None:
#         return False
#     elif str.find("[") != -1 or str.find("(") != -1 or str.find(")") != -1:
#         return False
#     else:
#         return city_district
#
#
# def chk_catering_kind(str):
#     catering_kind = str.replace(' ', '')
#     if re.match(r".*[0-9]", catering_kind) is not None:
#         return False
#     else:
#         return catering_kind
#
#
# # ['a','',' ']
# def chk_list_thickness(list_):
#     if len(list_) == 0:
#         return False
#     res_list = []
#     for i in list_:
#         i_b = i.replace(' ', '')
#         if i.replace(' ', '') == '':
#             return False
#         else:
#             res_list.append(i_b)
#     return res_list
#
#
# business_area_tag_list = ['大厦', '大楼', '大厦', '百货', '购物中心', '商业中心', 'MALL', '广场', '商场', '单元', '栋', '座', '楼', '层', '底商']
#
#
# def chk_in_business_area(str):
#     global business_area_tag_list
#     for i in business_area_tag_list:
#         if str.find(i) > -1:
#             return 1
#     return 0
#
#
# # MAX_OFFSET = 25
# # OFFSET = MAX_OFFSET - 1
# MAX_PAGINATION = 100
# pagination = MAX_PAGINATION
# QPS = 50
# TIME_UNIT = 1
# # http://lbs.amap.com/api/webservice/guide/tools/info
# INFOCODE_OK = '10000'
# file_name_key_pool = 'key_pool.pool'
# KEY_POOL_LIST = []
# touse_key = ''
# f = open(file_name_key_pool, 'r', encoding='utf-8')
# for i in f:
#     try:
#         list_ = i.split('\t')
#         key = i.split('\t')[1].split()
#         KEY_POOL_LIST.append(key[0])
#     except Exception:
#         print(Exception)
# KEY_POOL_NUM_INDICATOR = len(KEY_POOL_LIST) - 1
#
# # 北京市    西城区    金堂羊蝎子火锅    真武庙四条1号
# # http://restapi.amap.com/v3/place/around?parameters
# URL_TYPE = 'http://restapi.amap.com/v3/place/text'
# # URL_TYPE = 'http://restapi.amap.com/v3/around'
# touse_key = ''
# RADIUS = '&radius=20'
# keywords = '&keywords='
# OFFSET = '&offset=10'
# CITYLIMIT = '&citylimit=true'
#
# URL_FOR_CHANGE_KEY = 'http://restapi.amap.com/v3/place/text?key=%s&types=060100&city=010&OFFSET=1'
#
# change_key_qps = 0
#
#
# def change_key():
#     global touse_key, change_key_qps
#
#     # 高德没有遵守自己的QPS/日限策略；所不能通过其返回码，来控制key的使用；
#     mean_use_key = random.randint(0, KEY_POOL_NUM_INDICATOR)
#     for i in range(mean_use_key, KEY_POOL_NUM_INDICATOR, 1):
#         key = KEY_POOL_LIST[i]
#         if key == touse_key:
#             if i == KEY_POOL_NUM_INDICATOR:
#                 change_key()
#                 return
#             else:
#                 continue
#         touse_key = key
#         url = URL_FOR_CHANGE_KEY % (touse_key)
#         try:
#             change_key_qps += 1
#             if change_key_qps % QPS == 0:
#                 sleep(TIME_UNIT)
#             r = requests.get(url)
#             json_ = r.json()
#         except Exception:
#             print('requests.get(url)', Exception)
#             change_key()
#             return
#         infocode = json_['infocode']
#         if not infocode == INFOCODE_OK:
#             if i == KEY_POOL_NUM_INDICATOR:
#                 sys.exit('NOInvalidKEY')
#             change_key()
#             return
#         return
#
#
#
#         # 060101    购物服务    商场    购物中心
#
#
# FILTER_GD_BUSINESS_AREA_TYPE_LIST = ['购物中心']
#
#
# def fliter_gd_business_area_type(url):
#     global FILTER_GD_BUSINESS_AREA_TYPE_LIST
#     # {"suggestion":{"keywords":{},"cities":{}},"info":"OK","status":"1","count":"1","pois":[{"typecode":"050118","adname":"西城区","biz_type":"diner","id":"B0FFG8RYC7","pname":"北京市","importance":{},"location":"116.393715,39.957242","distance":{},"tel":"18600185618","biz_ext":{},"shopid":{},"address":"德胜街道六铺炕北小街8-1号","poiweight":{},"cityname":"北京市","type":"餐饮服务;中餐厅;特色\/地方风味餐厅","shopinfo":"0","name":"炙热青春"}],"infocode":"10000"
#     try:
#         r = requests.get(url)
#         r_json = r.json()
#     except Exception:
#         print(203, Exception)
#         # 返回数据解析json异常
#         return 3
#     infocode = r_json['infocode']
#     if infocode == '10000':
#         count = r_json['count']
#         if int(count) > 0:
#             pois_list = r_json['pois']
#             for l in pois_list:
#                 type = l['type']
#                 for chk_type in FILTER_GD_BUSINESS_AREA_TYPE_LIST:
#                     if type.find(chk_type) > -1:
#                         return 1
#     else:
#         change_key()
#     return 0
#
#
# # f = open('MEITUAN_DAZHONG_20170704.csv', 'r', encoding='gbk')
# # f_2 = open('MEITUAN_DAZHONG_20170705.csv', 'r', encoding='gbk')
# # f_gd = open('GD_POI_KFC_MC.csv', 'r', encoding='utf-8-sig')
#
# # 市key-区key-品牌名key-地址key-{菜类,均价,data_from}
# # {city:{district:{name:{address:{catering_kind,average_price,data_from}}}}}
# cater_dic = {}
# # [{city,district,address,name,catering_kind,average_price,data_from}]
# cater_exception_list = []
# count_catering = 0
# count_catering_exception = 0
#
# coffee_list = []
# count_coffee = 0
#
# fo = open('MEITUAN_DAZHONG_20170705 - 副本.csv', 'r')
#
# file_line_list = []
# for i in fo:
#     file_line_list.append(i)
# fo.closed
# #
# # fo = open('MEITUAN_DAZHONG_20170705 - 副本.csv', 'r')
# # while fo.readline():
# #     file_line_list_b.append(fo.readline())
# file_line_list_len = len(file_line_list)
# file_jump_step_num = 2000
# count_catering_exception = 0
# count_coffee = 0
# count_catering = 0
#
#
# def get_exception_logic_split_loop(nloop):
#     global touse_key, cater_dic, file_line_list, file_line_list_len, file_jump_step_num, count_catering_exception, count_coffee, count_catering
#     start_line = nloop * file_jump_step_num
#     if start_line >= file_line_list_len:
#         print('last-line')
#         return
#     else:
#         start_line_count = 0
#         end_line = start_line + file_jump_step_num
#         if end_line >= file_line_list_len:
#             end_line = file_line_list_len - 1
#         for i in range(start_line, end_line, 1):
#             l_ = file_line_list[i].replace('\n', '').split(',')
#             city = l_[0]
#             district = l_[1]
#             address = l_[2]
#             name = l_[3]
#             average_price = l_[4]
#             catering_kind = l_[5]
#             data_from = 'mtdz_5'
#             # 数据准备层
#             # 数据运算层
#             # 该层处理从目标文件取出的字段列表
#             focus_list = [city, district, address, name, catering_kind, average_price, data_from]
#             dic_exception = {}
#             dic_exception['data_from'] = data_from
#             dic_exception['city'] = city
#             dic_exception['district'] = district
#             dic_exception['name'] = name
#             dic_exception['address'] = address
#             dic_exception['catering_kind'] = catering_kind
#             dic_exception['average_price'] = average_price
#
#             if not chk_list_thickness(focus_list) or not chk_city_district(city) or not chk_city_district(
#                     district) or not chk_catering_kind(catering_kind):
#                 count_catering_exception += 1
#                 cater_exception_list.append(dic_exception)
#             else:
#                 name = get_name(name)
#
#                 m = chk_is_coffee(name)
#                 # if m:
#                 #     print(list_)
#                 if not m:
#                     m = chk_is_coffee(catering_kind)
#                 if m:
#                     count_coffee += 1
#                     coffee_list.append(dic_exception)
#
#                 if not m:
#                     dic_details = {}
#                     dic_details['data_from'] = data_from
#                     dic_details['catering_kind'] = catering_kind
#                     dic_details['average_price'] = average_price
#                     if_in_business_area = chk_in_business_area(address)
#                     if_in_business_area_criterion = 'str_match'
#                     if if_in_business_area == 0:
#                         city_r = '&city=' + district
#                         keywords = '&keywords=' + address + '|' + name
#                         start_line_count += 1
#                         print(start_line, start_line_count)
#                         if start_line_count % QPS == 0:
#                             print('sleep')
#                             sleep(1)
#                         url = URL_TYPE + '?' + 'key=' + touse_key + RADIUS + keywords + city_r + CITYLIMIT
#
#                         if_in_business_area = fliter_gd_business_area_type(url)
#                         if_in_business_area_criterion = 'str_match+request_api'
#
#                     dic_details['if_in_business_area_criterion'] = if_in_business_area_criterion
#                     dic_details['if_in_business_area'] = if_in_business_area
#
#                     if city not in cater_dic:
#                         cater_dic[city] = {}
#                     if district not in cater_dic[city]:
#                         cater_dic[city][district] = {}
#                     if name not in cater_dic[city][district]:
#                         cater_dic[city][district][name] = {}
#                     if address not in cater_dic[city][district][name]:
#                         cater_dic[city][district][name][address] = {}
#
#                     cater_dic[city][district][name][address] = dic_details
#                     count_catering += 1
#
#
# class MyThread(threading.Thread):
#     def __init__(self, func, args, name=''):
#         threading.Thread.__init__(self)
#         self.name = name
#         self.func = func
#         self.args = args
#
#     def run(self):
#         self.func(self.args)
#
#
# def main():
#     print('starting at:', ctime())
#     threads_list = []
#     thread_sum = math.ceil(file_line_list_len / file_jump_step_num)
#     print(thread_sum)
#     for nloop in range(1, thread_sum, 1):
#         print(nloop)
#         thread_instance = MyThread(get_exception_logic_split_loop, (nloop), get_exception_logic_split_loop.__name__)
#
#         threads_list.append(thread_instance)
#     # 主进程将在所有非守护进程退出后，退出
#     for t in threads_list:
#         print(t)
#         t.setDaemon = False
#         t.start()
#     # wait for all thrades to finish
#     for t in threads_list:
#         t.join()
#     f_name = 'ALL.csv'
#     f = open(f_name, 'w', encoding='utf-8-sig')
#     f.write('')
#     f.closed
#     f = open(f_name, 'a', encoding='utf-8-sig')
#     str = 'city, district, name, address, if_in_business_area, if_in_business_area_criterion,catering_kind, average_price, data_from\n'
#     f.write(str)
#     ## city,district,address,name,catering_kind,average_price,data_from
#     count_write_rows = 0
#     for i in cater_dic:
#         city = i
#         if city == '城市':
#             continue
#         for ii in cater_dic[i]:
#             district = ii
#             for iii in cater_dic[i][ii]:
#                 name = iii
#                 for iv in cater_dic[i][ii][iii]:
#                     address = iv
#                     catering_kind = cater_dic[i][ii][iii][iv]['catering_kind']
#                     average_price = cater_dic[i][ii][iii][iv]['average_price']
#                     if_in_business_area = cater_dic[i][ii][iii][iv]['if_in_business_area']
#                     if_in_business_area_criterion = cater_dic[i][ii][iii][iv]['if_in_business_area_criterion']
#                     data_from = cater_dic[i][ii][iii][iv]['data_from']
#                     str = '%s,%s,%s,%s,%s,%s,%s,%s,%s\n' % (
#                         city, district, name, address, if_in_business_area, if_in_business_area_criterion,
#                         catering_kind, average_price, data_from)
#                     f.write(str)
#                     count_write_rows += 1
#     f.closed
#     print(count_write_rows)
#
#
# if __name__ == '__main__':
#     main()

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# -*- coding: UTF-8 -*-

import re
import pprint
import json
import time
import math
import sys
import requests
import threading
from time import ctime, sleep
import random

ZHITONGZI_CITY_DIC = {}
f = open('直筒子市_东莞中山.txt', 'r', encoding='utf-8')
ZHITONGZI_CITY_DIC['东莞市'] = []
ZHITONGZI_CITY_DIC['中山市'] = []
c = 0
for i in f:
    ii = i.split('；')
    for iii in ii:
        iv = iii.split('、')
        if len(iv) > 2:
            c += 1
            for v in iv:
                if v.find('（') > -1:
                    v_ = v.split('（')[1]
                elif v.find('）') > -1:
                    v_ = v.split('）')[0]
                else:
                    v_ = v
                if c == 1 or c == 2:
                    ZHITONGZI_CITY_DIC['东莞市'].append(v_)
                elif c == 3 or c == 4:
                    ZHITONGZI_CITY_DIC['中山市'].append(v_)
f.closed

def chk_is_coffee(str):
    l_ = ['coffee', 'coffe', 'cafe', 'café', 'starbucks', 'caffé']
    # 上岛花式铁板烧    日本菜
    # 泛太平洋大酒店面馆    其他
    l_b = ['咖啡', '星巴克']
    # 星巴克
    for i in l_:
        if str.upper().find(i.upper()) != -1:
            return True
    for i in l_b:
        if str.find(i) != -1:
            return True
    return False

def chk_kfc_mdl(str):
    if str.find(u"麦当劳") != -1:
        return 1
    elif str.find(u"肯德基") != -1 or str.upper().find(u"KFC") != -1:
        return 0
    else:
        return 2

def get_name(str):
    if str.find("麦当劳") != -1:
        return '麦当劳'
    elif str.find("肯德基") != -1 or str.upper().find(u"KFC") != -1:
        return '肯德基'
    else:
        # str = '狗不理包子（前门店）'
        # str =  '（清真）三羊水饺(新民路店)'
        # | 添椒 | 潮涮三国IP火锅
        if str.find('（') == -1 and str.find('(') == -1:
            return str
        res = str.strip(' ').split('（')[0].strip(' ')
        if len(res) == 0:
            try:
                res = str.split('）')[1].split('(')[0]
            except Exception:
                print(Exception)
        # 一锅两头牛(烟青路店)
        res_b = res
        try:
            res_b = res.split('(')[0]
        except Exception:
            print(Exception)

        return res_b

def chk_city_district(str):
    city_district = str.replace(' ', '')
    if re.match(r".*[a-zA-Z0-9]", city_district) is not None:
        return False
    elif str.find("[") != -1 or str.find("(") != -1 or str.find(")") != -1:
        return False
    else:
        return city_district

def chk_catering_kind(str):
    catering_kind = str.replace(' ', '')
    if re.match(r".*[0-9]", catering_kind) is not None:
        return False
    else:
        return catering_kind

# ['a','',' ']
def chk_list_thickness(list_):
    if len(list_) == 0:
        return False
    res_list = []
    for i in list_:
        i_b = i.replace(' ', '')
        if i.replace(' ', '') == '':
            return False
        else:
            res_list.append(i_b)
    return res_list

business_area_tag_list = ['大厦', '大楼', '大厦', '百货', '购物中心', '商业中心', 'MALL', '广场', '商场', '单元', '栋', '座', '楼', '层', '底商']

def chk_in_business_area(str):
    global business_area_tag_list
    for i in business_area_tag_list:
        if str.find(i) > -1:
            return 1
    return 0

# MAX_OFFSET = 25
# OFFSET = MAX_OFFSET - 1
MAX_PAGINATION = 100
pagination = MAX_PAGINATION
QPS = 50
TIME_UNIT = 1
# http://lbs.amap.com/api/webservice/guide/tools/info
INFOCODE_OK = ''
file_name_key_pool = 'key_pool.pool'
KEY_POOL_LIST = []
touse_key = ''
f = open(file_name_key_pool, 'r', encoding='utf-8')
for i in f:
    try:
        list_ = i.split('\t')
        key = i.split('\t')[1].split()
        KEY_POOL_LIST.append(key[0])
    except Exception:
        print(Exception)
KEY_POOL_NUM_INDICATOR = len(KEY_POOL_LIST) - 1

# 北京市    西城区    金堂羊蝎子火锅    真武庙四条1号
# http://restapi.amap.com/v3/place/around?parameters
URL_TYPE = 'http://restapi.amap.com/v3/place/text'
# URL_TYPE = 'http://restapi.amap.com/v3/around'
touse_key = ''
RADIUS = '&radius=20'
keywords = '&keywords='
OFFSET = '&offset=10'
CITYLIMIT = '&citylimit=true'

URL_FOR_CHANGE_KEY = 'http://restapi.amap.com/v3/place/text?key=%s&types=060100&city=010&OFFSET=1'

change_key_qps = 0

def change_key():
    global touse_key, change_key_qps

    # 高德没有遵守自己的QPS/日限策略；所不能通过其返回码，来控制key的使用；
    mean_use_key = random.randint(0, KEY_POOL_NUM_INDICATOR)
    for i in range(mean_use_key, KEY_POOL_NUM_INDICATOR, 1):
        key = KEY_POOL_LIST[i]
        if key == touse_key:
            if i == KEY_POOL_NUM_INDICATOR:
                change_key()
                return
            else:
                continue
        touse_key = key
        url = URL_FOR_CHANGE_KEY % (touse_key)
        try:
            change_key_qps += 1
            if change_key_qps % QPS == 0:
                sleep(TIME_UNIT)
            r = requests.get(url)
            json_ = r.json()
        except Exception:
            print('requests.get(url)', Exception)
            change_key()
            return
        infocode = json_['infocode']
        if not infocode == INFOCODE_OK:
            if i == KEY_POOL_NUM_INDICATOR:
                sys.exit('NOInvalidKEY')
            change_key()
            return
        return

    # 060101    购物服务    商场    购物中心
FILTER_GD_BUSINESS_AREA_TYPE_LIST = ['购物中心']

def fliter_gd_business_area_type(url):
    global FILTER_GD_BUSINESS_AREA_TYPE_LIST
    # {"suggestion":{"keywords":{},"cities":{}},"info":"OK","status":"1","count":"1","pois":[{"typecode":"050118","adname":"西城区","biz_type":"diner","id":"B0FFG8RYC7","pname":"北京市","importance":{},"location":"116.393715,39.957242","distance":{},"tel":"18600185618","biz_ext":{},"shopid":{},"address":"德胜街道六铺炕北小街8-1号","poiweight":{},"cityname":"北京市","type":"餐饮服务;中餐厅;特色\/地方风味餐厅","shopinfo":"0","name":"炙热青春"}],"infocode":"10000"
    try:
        r = requests.get(url)
        r_json = r.json()
    except Exception:
        print(203, Exception)
        # 返回数据解析json异常
        return 3
    infocode = r_json['infocode']
    if infocode == '':
        count = r_json['count']
        if int(count) > 0:
            pois_list = r_json['pois']
            for l in pois_list:
                type = l['type']
                for chk_type in FILTER_GD_BUSINESS_AREA_TYPE_LIST:
                    if type.find(chk_type) > -1:
                        return 1
    else:
        change_key()
    return 0

# f = open('MEITUAN_DAZHONG_20170704.csv', 'r', encoding='gbk')
# f_2 = open('MEITUAN_DAZHONG_20170705.csv', 'r', encoding='gbk')
# f_gd = open('GD_POI_KFC_MC.csv', 'r', encoding='utf-8-sig')

# 市key-区key-品牌名key-地址key-{菜类,均价,data_from}
# {city:{district:{name:{address:{catering_kind,average_price,data_from}}}}}
cater_dic = {}
# [{city,district,address,name,catering_kind,average_price,data_from}]
cater_exception_list = []
count_catering = 0
count_catering_exception = 0

coffee_list = []
count_coffee = 0

fo = open('MEITUAN_DAZHONG_20170705 - 副本.csv', 'r')

file_line_list = []
for i in fo:
    file_line_list.append(i)
fo.closed
#
# fo = open('MEITUAN_DAZHONG_20170705 - 副本.csv', 'r')
# while fo.readline():
#     file_line_list_b.append(fo.readline())
file_line_list_len = len(file_line_list)
file_jump_step_num = 2000
count_catering_exception = 0
count_coffee = 0
count_catering = 0

def get_exception_logic_split_loop(nloop):
    global touse_key, cater_dic, file_line_list, file_line_list_len, file_jump_step_num, count_catering_exception, count_coffee, count_catering
    start_line = nloop * file_jump_step_num
    if start_line >= file_line_list_len:
        print('last-line')
        return
    else:
        start_line_count = 0
        end_line = start_line + file_jump_step_num
        if end_line >= file_line_list_len:
            end_line = file_line_list_len - 1
        for i in range(start_line, end_line, 1):
            l_ = file_line_list[i].replace('\n', '').split(',')
            city = l_[0]
            district = l_[1]
            address = l_[2]
            name = l_[3]
            average_price = l_[4]
            catering_kind = l_[5]
            data_from = 'mtdz_5'
            # 数据准备层
            # 数据运算层
            # 该层处理从目标文件取出的字段列表
            focus_list = [city, district, address, name, catering_kind, average_price, data_from]
            dic_exception = {}
            dic_exception['data_from'] = data_from
            dic_exception['city'] = city
            dic_exception['district'] = district
            dic_exception['name'] = name
            dic_exception['address'] = address
            dic_exception['catering_kind'] = catering_kind
            dic_exception['average_price'] = average_price

            if not chk_list_thickness(focus_list) or not chk_city_district(city) or not chk_city_district(
                    district) or not chk_catering_kind(catering_kind):
                count_catering_exception += 1
                cater_exception_list.append(dic_exception)
            else:
                name = get_name(name)

                m = chk_is_coffee(name)
                # if m:
                #     print(list_)
                if not m:
                    m = chk_is_coffee(catering_kind)
                if m:
                    count_coffee += 1
                    coffee_list.append(dic_exception)

                if not m:
                    dic_details = {}
                    dic_details['data_from'] = data_from
                    dic_details['catering_kind'] = catering_kind
                    dic_details['average_price'] = average_price
                    if_in_business_area = chk_in_business_area(address)
                    if_in_business_area_criterion = 'str_match'
                    if if_in_business_area == 0:
                        city_r = '&city=' + district
                        keywords = '&keywords=' + address + '|' + name
                        start_line_count += 1
                        print( start_line, start_line_count)
                        if start_line_count % QPS == 0:
                            print('sleep')
                            sleep(1)
                        url = URL_TYPE + '?' + 'key=' + touse_key + RADIUS + keywords + city_r + CITYLIMIT

                        if_in_business_area = fliter_gd_business_area_type(url)
                        if_in_business_area_criterion = 'str_match+request_api'

                    dic_details['if_in_business_area_criterion'] = if_in_business_area_criterion
                    dic_details['if_in_business_area'] = if_in_business_area

                    if city not in cater_dic:
                        cater_dic[city] = {}
                    if district not in cater_dic[city]:
                        cater_dic[city][district] = {}
                    if name not in cater_dic[city][district]:
                        cater_dic[city][district][name] = {}
                    if address not in cater_dic[city][district][name]:
                        cater_dic[city][district][name][address] = {}

                    cater_dic[city][district][name][address] = dic_details
                    count_catering += 1

class MyThread(threading.Thread):
    def __init__(self, func, args, name=''):
        threading.Thread.__init__(self)
        self.name = name
        self.func = func
        self.args = args

    def run(self):
        self.func(self.args)

def main():
    print('starting at:', ctime())
    threads_list = []
    thread_sum = math.ceil(file_line_list_len / file_jump_step_num)
    print(thread_sum)
    for nloop in range(1, thread_sum, 1):
        print(nloop)
        thread_instance = MyThread(get_exception_logic_split_loop, (nloop), get_exception_logic_split_loop.__name__)

        threads_list.append(thread_instance)
    # 主进程将在所有非守护进程退出后，退出
    for t in threads_list:
        print(t)
        t.setDaemon = False
        t.start()
    # wait for all thrades to finish
    for t in threads_list:
        t.join()
    f_name = 'ALL.csv'
    f = open(f_name, 'w', encoding='utf-8-sig')
    f.write('')
    f.closed
    f = open(f_name, 'a', encoding='utf-8-sig')
    str = 'city, district, name, address, if_in_business_area, if_in_business_area_criterion,catering_kind, average_price, data_from\n'
    f.write(str)
    ## city,district,address,name,catering_kind,average_price,data_from
    count_write_rows = 0
    for i in cater_dic:
        city = i
        if city == '城市':
            continue
        for ii in cater_dic[i]:
            district = ii
            for iii in cater_dic[i][ii]:
                name = iii
                for iv in cater_dic[i][ii][iii]:
                    address = iv
                    catering_kind = cater_dic[i][ii][iii][iv]['catering_kind']
                    average_price = cater_dic[i][ii][iii][iv]['average_price']
                    if_in_business_area = cater_dic[i][ii][iii][iv]['if_in_business_area']
                    if_in_business_area_criterion = cater_dic[i][ii][iii][iv]['if_in_business_area_criterion']
                    data_from = cater_dic[i][ii][iii][iv]['data_from']
                    str = '%s,%s,%s,%s,%s,%s,%s,%s,%s\n' % (
                        city, district, name, address, if_in_business_area, if_in_business_area_criterion,
                        catering_kind, average_price, data_from)
                    f.write(str)
                    count_write_rows += 1
    f.closed
    print(count_write_rows)

if __name__ == '__main__':
    main()

# -*- coding: UTF-8 -*-

import re
import pprint
import json
import time
import math
import sys
import requests
import threading
from time import ctime, sleep
import random

ZHITONGZI_CITY_DIC = {}
f = open('直筒子市_东莞中山.txt', 'r', encoding='utf-8')
ZHITONGZI_CITY_DIC['东莞市'] = []
ZHITONGZI_CITY_DIC['中山市'] = []
c = 0
for i in f:
    ii = i.split('；')
    for iii in ii:
        iv = iii.split('、')
        if len(iv) > 2:
            c += 1
            for v in iv:
                if v.find('（') > -1:
                    v_ = v.split('（')[1]
                elif v.find('）') > -1:
                    v_ = v.split('）')[0]
                else:
                    v_ = v
                if c == 1 or c == 2:
                    ZHITONGZI_CITY_DIC['东莞市'].append(v_)
                elif c == 3 or c == 4:
                    ZHITONGZI_CITY_DIC['中山市'].append(v_)
f.closed

def chk_is_coffee(str):
    l_ = ['coffee', 'coffe', 'cafe', 'café', 'starbucks', 'caffé']
    # 上岛花式铁板烧    日本菜
    # 泛太平洋大酒店面馆    其他
    l_b = ['咖啡', '星巴克']
    # 星巴克
    for i in l_:
        if str.upper().find(i.upper()) != -1:
            return True
    for i in l_b:
        if str.find(i) != -1:
            return True
    return False

def chk_kfc_mdl(str):
    if str.find(u"麦当劳") != -1:
        return 1
    elif str.find(u"肯德基") != -1 or str.upper().find(u"KFC") != -1:
        return 0
    else:
        return 2

def get_name(str):
    if str.find("麦当劳") != -1:
        return '麦当劳'
    elif str.find("肯德基") != -1 or str.upper().find(u"KFC") != -1:
        return '肯德基'
    else:
        # str = '狗不理包子（前门店）'
        # str =  '（清真）三羊水饺(新民路店)'
        # | 添椒 | 潮涮三国IP火锅
        if str.find('（') == -1 and str.find('(') == -1:
            return str
        res = str.strip(' ').split('（')[0].strip(' ')
        if len(res) == 0:
            try:
                res = str.split('）')[1].split('(')[0]
            except Exception:
                print(Exception)
        # 一锅两头牛(烟青路店)
        res_b = res
        try:
            res_b = res.split('(')[0]
        except Exception:
            print(Exception)

        return res_b

def chk_city_district(str):
    city_district = str.replace(' ', '')
    if re.match(r".*[a-zA-Z0-9]", city_district) is not None:
        return False
    elif str.find("[") != -1 or str.find("(") != -1 or str.find(")") != -1:
        return False
    else:
        return city_district

def chk_catering_kind(str):
    catering_kind = str.replace(' ', '')
    if re.match(r".*[0-9]", catering_kind) is not None:
        return False
    else:
        return catering_kind

# ['a','',' ']
def chk_list_thickness(list_):
    if len(list_) == 0:
        return False
    res_list = []
    for i in list_:
        i_b = i.replace(' ', '')
        if i.replace(' ', '') == '':
            return False
        else:
            res_list.append(i_b)
    return res_list

business_area_tag_list = ['大厦', '大楼', '大厦', '百货', '购物中心', '商业中心', 'MALL', '广场', '商场', '单元', '栋', '座', '楼', '层', '底商']

def chk_in_business_area(str):
    global business_area_tag_list
    for i in business_area_tag_list:
        if str.find(i) > -1:
            return 1
    return 0

# MAX_OFFSET = 25
# OFFSET = MAX_OFFSET - 1
MAX_PAGINATION = 100
pagination = MAX_PAGINATION
QPS = 50
TIME_UNIT = 1
# http://lbs.amap.com/api/webservice/guide/tools/info
INFOCODE_OK = ''
file_name_key_pool = 'key_pool.pool'
KEY_POOL_LIST = []
touse_key = ''
f = open(file_name_key_pool, 'r', encoding='utf-8')
for i in f:
    try:
        list_ = i.split('\t')
        key = i.split('\t')[1].split()
        KEY_POOL_LIST.append(key[0])
    except Exception:
        print(Exception)
KEY_POOL_NUM_INDICATOR = len(KEY_POOL_LIST) - 1

# 北京市    西城区    金堂羊蝎子火锅    真武庙四条1号
# http://restapi.amap.com/v3/place/around?parameters
URL_TYPE = 'http://restapi.amap.com/v3/place/text'
# URL_TYPE = 'http://restapi.amap.com/v3/around'
touse_key = ''
RADIUS = '&radius=20'
keywords = '&keywords='
OFFSET = '&offset=10'
CITYLIMIT = '&citylimit=true'

URL_FOR_CHANGE_KEY = 'http://restapi.amap.com/v3/place/text?key=%s&types=060100&city=010&OFFSET=1'

change_key_qps = 0

def change_key():
    global touse_key, change_key_qps

    # 高德没有遵守自己的QPS/日限策略；所不能通过其返回码，来控制key的使用；
    mean_use_key = random.randint(0, KEY_POOL_NUM_INDICATOR)
    for i in range(mean_use_key, KEY_POOL_NUM_INDICATOR, 1):
        key = KEY_POOL_LIST[i]
        if key == touse_key:
            if i == KEY_POOL_NUM_INDICATOR:
                change_key()
                return
            else:
                continue
        touse_key = key
        url = URL_FOR_CHANGE_KEY % (touse_key)
        try:
            change_key_qps += 1
            if change_key_qps % QPS == 0:
                sleep(TIME_UNIT)
            r = requests.get(url)
            json_ = r.json()
        except Exception:
            print('requests.get(url)', Exception)
            change_key()
            return
        infocode = json_['infocode']
        if not infocode == INFOCODE_OK:
            if i == KEY_POOL_NUM_INDICATOR:
                sys.exit('NOInvalidKEY')
            change_key()
            return
        return

    # 060101    购物服务    商场    购物中心
FILTER_GD_BUSINESS_AREA_TYPE_LIST = ['购物中心']

def fliter_gd_business_area_type(url):
    global FILTER_GD_BUSINESS_AREA_TYPE_LIST
    # {"suggestion":{"keywords":{},"cities":{}},"info":"OK","status":"1","count":"1","pois":[{"typecode":"050118","adname":"西城区","biz_type":"diner","id":"B0FFG8RYC7","pname":"北京市","importance":{},"location":"116.393715,39.957242","distance":{},"tel":"18600185618","biz_ext":{},"shopid":{},"address":"德胜街道六铺炕北小街8-1号","poiweight":{},"cityname":"北京市","type":"餐饮服务;中餐厅;特色\/地方风味餐厅","shopinfo":"0","name":"炙热青春"}],"infocode":"10000"
    try:
        r = requests.get(url)
        r_json = r.json()
    except Exception:
        print(203, Exception)
        # 返回数据解析json异常
        return 3
    infocode = r_json['infocode']
    if infocode == '':
        count = r_json['count']
        if int(count) > 0:
            pois_list = r_json['pois']
            for l in pois_list:
                type = l['type']
                for chk_type in FILTER_GD_BUSINESS_AREA_TYPE_LIST:
                    if type.find(chk_type) > -1:
                        return 1
    else:
        change_key()
    return 0

# f = open('MEITUAN_DAZHONG_20170704.csv', 'r', encoding='gbk')
# f_2 = open('MEITUAN_DAZHONG_20170705.csv', 'r', encoding='gbk')
# f_gd = open('GD_POI_KFC_MC.csv', 'r', encoding='utf-8-sig')

# 市key-区key-品牌名key-地址key-{菜类,均价,data_from}
# {city:{district:{name:{address:{catering_kind,average_price,data_from}}}}}
cater_dic = {}
# [{city,district,address,name,catering_kind,average_price,data_from}]
cater_exception_list = []
count_catering = 0
count_catering_exception = 0

coffee_list = []
count_coffee = 0

fo = open('MEITUAN_DAZHONG_20170705 - 副本.csv', 'r')

file_line_list = []
for i in fo:
    file_line_list.append(i)
fo.closed
#
# fo = open('MEITUAN_DAZHONG_20170705 - 副本.csv', 'r')
# while fo.readline():
#     file_line_list_b.append(fo.readline())
file_line_list_len = len(file_line_list)
file_jump_step_num = 4000
count_catering_exception = 0
count_coffee = 0
count_catering = 0

def get_exception_logic_split_loop(nloop):
    print(247, nloop)
    global touse_key, cater_dic, file_line_list, file_line_list_len, file_jump_step_num, count_catering_exception, count_coffee, count_catering
    start_line = nloop * file_jump_step_num
    if start_line >= file_line_list_len:
        print('last-line')
        return
    else:
        start_line_count = 0
        end_line = start_line + file_jump_step_num
        if end_line >= file_line_list_len:
            end_line = file_line_list_len - 1
        for i in range(start_line, end_line, 1):
            l_ = file_line_list[i].replace('\n', '').split(',')
            city = l_[0]
            district = l_[1]
            address = l_[2]
            name = l_[3]
            average_price = l_[4]
            catering_kind = l_[5]
            data_from = 'mtdz_5'
            # 数据准备层
            # 数据运算层
            # 该层处理从目标文件取出的字段列表
            focus_list = [city, district, address, name, catering_kind, average_price, data_from]
            dic_exception = {}
            dic_exception['data_from'] = data_from
            dic_exception['city'] = city
            dic_exception['district'] = district
            dic_exception['name'] = name
            dic_exception['address'] = address
            dic_exception['catering_kind'] = catering_kind
            dic_exception['average_price'] = average_price

            if not chk_list_thickness(focus_list) or not chk_city_district(city) or not chk_city_district(
                    district) or not chk_catering_kind(catering_kind):
                count_catering_exception += 1
                cater_exception_list.append(dic_exception)
            else:
                name = get_name(name)

                m = chk_is_coffee(name)
                # if m:
                #     print(list_)
                if not m:
                    m = chk_is_coffee(catering_kind)
                if m:
                    count_coffee += 1
                    coffee_list.append(dic_exception)

                if not m:
                    dic_details = {}
                    dic_details['data_from'] = data_from
                    dic_details['catering_kind'] = catering_kind
                    dic_details['average_price'] = average_price
                    if_in_business_area = chk_in_business_area(address)
                    if_in_business_area_criterion = 'str_match'
                    if if_in_business_area == 0:
                        city_r = '&city=' + district
                        keywords = '&keywords=' + address + '|' + name
                        start_line_count += 1
                        print(417, start_line, start_line_count)
                        if start_line_count % QPS == 0:
                            print('sleep')
                            sleep(1)
                        url = URL_TYPE + '?' + 'key=' + touse_key + RADIUS + keywords + city_r + CITYLIMIT

                        if_in_business_area = fliter_gd_business_area_type(url)
                        if_in_business_area_criterion = 'str_match+request_api'

                    dic_details['if_in_business_area_criterion'] = if_in_business_area_criterion
                    dic_details['if_in_business_area'] = if_in_business_area

                    if city not in cater_dic:
                        cater_dic[city] = {}
                    if district not in cater_dic[city]:
                        cater_dic[city][district] = {}
                    if name not in cater_dic[city][district]:
                        cater_dic[city][district][name] = {}
                    if address not in cater_dic[city][district][name]:
                        cater_dic[city][district][name][address] = {}

                    cater_dic[city][district][name][address] = dic_details
                    count_catering += 1

class MyThread(threading.Thread):
    def __init__(self, func, args, name=''):
        threading.Thread.__init__(self)
        self.name = name
        self.func = func
        self.args = args

    def run(self):
        self.func(self.args)

def main():
    print('starting at:', ctime())
    threads_list = []
    thread_sum = math.ceil(file_line_list_len / file_jump_step_num)
    print(thread_sum)
    for nloop in range(1, thread_sum, 1):
        print(nloop)
        thread_instance = MyThread(get_exception_logic_split_loop, (nloop), get_exception_logic_split_loop.__name__)
        print(353, '')
        threads_list.append(thread_instance)
    # 主进程将在所有非守护进程退出后，退出
    for t in threads_list:
        print(t)
        t.setDaemon = False
        t.start()
    # wait for all thrades to finish
    for t in threads_list:
        t.join()

    print(467, cater_dic)
    f_name = 'ALL.csv'
    f = open(f_name, 'w', encoding='utf-8-sig')
    f.write('')
    f.closed
    f = open(f_name, 'a', encoding='utf-8-sig')
    str = 'city, district, name, address, if_in_business_area, if_in_business_area_criterion,catering_kind, average_price, data_from\n'
    f.write(str)
    ## city,district,address,name,catering_kind,average_price,data_from
    count_write_rows = 0
    for i in cater_dic:
        city = i
        if city == '城市':
            continue
        for ii in cater_dic[i]:
            district = ii
            for iii in cater_dic[i][ii]:
                name = iii
                for iv in cater_dic[i][ii][iii]:
                    address = iv
                    catering_kind = cater_dic[i][ii][iii][iv]['catering_kind']
                    average_price = cater_dic[i][ii][iii][iv]['average_price']
                    if_in_business_area = cater_dic[i][ii][iii][iv]['if_in_business_area']
                    if_in_business_area_criterion = cater_dic[i][ii][iii][iv]['if_in_business_area_criterion']
                    data_from = cater_dic[i][ii][iii][iv]['data_from']
                    str = '%s,%s,%s,%s,%s,%s,%s,%s,%s\n' % (
                        city, district, name, address, if_in_business_area, if_in_business_area_criterion,
                        catering_kind, average_price, data_from)
                    f.write(str)
                    count_write_rows += 1
    f.closed
    print(count_write_rows)

if __name__ == '__main__':
    main()

change_key_qps = 0

def change_key():
    global touse_key, change_key_qps
    change_key_qps += 1
    if change_key_qps % QPS == 0:
        sleep(TIME_UNIT)
    # 高德没有遵守自己的QPS/日限策略；所不能通过其返回码，来控制key的使用；
    mean_use_key = random.randint(0, KEY_POOL_NUM_INDICATOR)
    print(mean_use_key)
    for i in range(mean_use_key, KEY_POOL_NUM_INDICATOR, 1):
        key = KEY_POOL_LIST[i]
        if key == touse_key:
            if i == KEY_POOL_NUM_INDICATOR:
                change_key()
            else:
                continue
        print(172, 'present_key', touse_key)
        touse_key = key
        url = URL_FOR_CHANGE_KEY % (touse_key)
        print(175, 'touse_key', touse_key)
        try:
            r = requests.get(url)
            try:
                json_ = r.json()
            except Exception:
                print(' r.json()', Exception)
                change_key()
        except Exception:
            print('requests.get(url)', Exception)
            change_key()
        infocode = json_['infocode']
        if not infocode == INFOCODE_OK:
            if i == KEY_POOL_NUM_INDICATOR:
                sys.exit('NOInvalidKEY')
            change_key()

　　

高德没有遵守自己的QPS/日限策略；所不能通过其返回码，来控制key的使用；

2
172 present_key c5ef87ab7efe0d76b970fd330bf9e7f2
175 touse_key adf8e13d1b170fcef7132ea3178a2d6c
172 present_key adf8e13d1b170fcef7132ea3178a2d6c
175 touse_key 2f3d41dfbce352fc4d82009c552505fe
172 present_key 2f3d41dfbce352fc4d82009c552505fe
175 touse_key c5ef87ab7efe0d76b970fd330bf9e7f2
172 present_key c5ef87ab7efe0d76b970fd330bf9e7f2
175 touse_key 2f3d41dfbce352fc4d82009c552505fe
172 present_key 2f3d41dfbce352fc4d82009c552505fe
175 touse_key c5ef87ab7efe0d76b970fd330bf9e7f2
172 present_key c5ef87ab7efe0d76b970fd330bf9e7f2
175 touse_key 6d95ab3f63c494911002c1734089548a
6
172 present_key 6d95ab3f63c494911002c1734089548a
175 touse_key adf8e13d1b170fcef7132ea3178a2d6c
6
172 present_key adf8e13d1b170fcef7132ea3178a2d6c
175 touse_key 6d95ab3f63c494911002c1734089548a
6
172 present_key 6d95ab3f63c494911002c1734089548a
175 touse_key adf8e13d1b170fcef7132ea3178a2d6c
4
172 present_key adf8e13d1b170fcef7132ea3178a2d6c
175 touse_key c0d76e9fa950d0ff1761d56bd78a902e

def change_key():
    global touse_key
    mean_use_key = random.randint(0, KEY_POOL_NUM_INDICATOR)
    print(mean_use_key)
    for i in range(mean_use_key, KEY_POOL_NUM_INDICATOR, 1):
        key = KEY_POOL_LIST[i]
        if key == touse_key:
            continue
        print(172, 'present_key', touse_key)
        touse_key = key
        url = URL_FOR_CHANGE_KEY % (touse_key)
        print(175, 'touse_key', touse_key)
        try:
            r = requests.get(url)
            try :
                json_ = r.json()
            except Exception:
                print(' r.json()',Exception)
                change_key()
        except Exception:
            print('requests.get(url)',Exception)
            change_key()
        infocode = json_['infocode']
        if not infocode == INFOCODE_OK:
            if i == KEY_POOL_NUM_INDICATOR:
                sys.exit('NOInvalidKEY')
            change_key()

　　

# -*- coding: UTF-8 -*-

import re
import pprint
import json
import time
import math
import sys
import requests
import threading
from time import ctime, sleep

ZHITONGZI_CITY_DIC = {}
f = open('直筒子市_东莞中山.txt', 'r', encoding='utf-8')
ZHITONGZI_CITY_DIC['东莞市'] = []
ZHITONGZI_CITY_DIC['中山市'] = []
c = 0
for i in f:
    ii = i.split('；')
    for iii in ii:
        iv = iii.split('、')
        if len(iv) > 2:
            c += 1
            for v in iv:
                if v.find('（') > -1:
                    v_ = v.split('（')[1]
                elif v.find('）') > -1:
                    v_ = v.split('）')[0]
                else:
                    v_ = v
                if c == 1 or c == 2:
                    ZHITONGZI_CITY_DIC['东莞市'].append(v_)
                elif c == 3 or c == 4:
                    ZHITONGZI_CITY_DIC['中山市'].append(v_)
f.closed

def chk_is_coffee(str):
    l_ = ['coffee', 'coffe', 'cafe', 'café', 'starbucks', 'caffé']
    # 上岛花式铁板烧    日本菜
    # 泛太平洋大酒店面馆    其他
    l_b = ['咖啡', '星巴克']
    # 星巴克
    for i in l_:
        if str.upper().find(i.upper()) != -1:
            return True
    for i in l_b:
        if str.find(i) != -1:
            return True
    return False

def chk_kfc_mdl(str):
    if str.find(u"麦当劳") != -1:
        return 1
    elif str.find(u"肯德基") != -1 or str.upper().find(u"KFC") != -1:
        return 0
    else:
        return 2

def get_name(str):
    if str.find("麦当劳") != -1:
        return '麦当劳'
    elif str.find("肯德基") != -1 or str.upper().find(u"KFC") != -1:
        return '肯德基'
    else:
        # str = '狗不理包子（前门店）'
        # str =  '（清真）三羊水饺(新民路店)'
        # | 添椒 | 潮涮三国IP火锅
        if str.find('（') == -1 and str.find('(') == -1:
            return str
        res = str.strip(' ').split('（')[0].strip(' ')
        if len(res) == 0:
            try:
                res = str.split('）')[1].split('(')[0]
            except Exception:
                print(Exception)
        # 一锅两头牛(烟青路店)
        res_b = res
        try:
            res_b = res.split('(')[0]
        except Exception:
            print(Exception)

        return res_b

def chk_city_district(str):
    city_district = str.replace(' ', '')
    if re.match(r".*[a-zA-Z0-9]", city_district) is not None:
        return False
    elif str.find("[") != -1 or str.find("(") != -1 or str.find(")") != -1:
        return False
    else:
        return city_district

def chk_catering_kind(str):
    catering_kind = str.replace(' ', '')
    if re.match(r".*[0-9]", catering_kind) is not None:
        return False
    else:
        return catering_kind

# ['a','',' ']
def chk_list_thickness(list_):
    if len(list_) == 0:
        return False
    res_list = []
    for i in list_:
        i_b = i.replace(' ', '')
        if i.replace(' ', '') == '':
            return False
        else:
            res_list.append(i_b)
    return res_list

business_area_tag_list = ['大厦', '大楼', '大厦', '百货', '购物中心', '商业中心', 'MALL', '广场', '商场', '单元', '栋', '座', '楼', '层', '底商']

def chk_in_business_area(str):
    global business_area_tag_list
    for i in business_area_tag_list:
        if str.find(i) > -1:
            return 1
    return 0

# MAX_OFFSET = 25
# OFFSET = MAX_OFFSET - 1
MAX_PAGINATION = 100
pagination = MAX_PAGINATION
QPS = 50
TIME_UNIT = 1
# http://lbs.amap.com/api/webservice/guide/tools/info
INFOCODE_OK = ''
file_name_key_pool = 'key_pool.pool'
KEY_POOL_LIST = []
touse_key = ''
f = open(file_name_key_pool, 'r', encoding='utf-8')
for i in f:
    try:
        list_ = i.split('\t')
        key = i.split('\t')[1].split()
        KEY_POOL_LIST.append(key[0])
    except Exception:
        print(Exception)
KEY_POOL_NUM_INDICATOR = len(KEY_POOL_LIST) - 1

# 北京市    西城区    金堂羊蝎子火锅    真武庙四条1号
# http://restapi.amap.com/v3/place/around?parameters
URL_TYPE = 'http://restapi.amap.com/v3/place/text'
# URL_TYPE = 'http://restapi.amap.com/v3/around'
touse_key = ''
RADIUS = '&radius=20'
keywords = '&keywords='
OFFSET = '&offset=10'
CITYLIMIT = '&citylimit=true'

URL_FOR_CHANGE_KEY = 'http://restapi.amap.com/v3/place/text?key=%s&types=060100&city=010&OFFSET=1'

def change_key():
    global touse_key
    for i in range(0, KEY_POOL_NUM_INDICATOR, 1):
        key = KEY_POOL_LIST[i]
        if key == touse_key:
            continue
        touse_key = key
        url = URL_FOR_CHANGE_KEY % (touse_key)
        print(62, 'chk_key', url)
        print(62, 'touse_key', touse_key)
        try:
            r = requests.get(url)
        except Exception:
            print(Exception)
            change_key()
        json_ = r.json()
        infocode = json_['infocode']
        if not infocode == INFOCODE_OK:
            if i == KEY_POOL_NUM_INDICATOR:
                sys.exit('NOInvalidKEY')
            change_key()

# 060101    购物服务    商场    购物中心
FILTER_GD_BUSINESS_AREA_TYPE_LIST = ['购物中心']

def fliter_gd_business_area_type(url):
    global FILTER_GD_BUSINESS_AREA_TYPE_LIST
    # {"suggestion":{"keywords":{},"cities":{}},"info":"OK","status":"1","count":"1","pois":[{"typecode":"050118","adname":"西城区","biz_type":"diner","id":"B0FFG8RYC7","pname":"北京市","importance":{},"location":"116.393715,39.957242","distance":{},"tel":"18600185618","biz_ext":{},"shopid":{},"address":"德胜街道六铺炕北小街8-1号","poiweight":{},"cityname":"北京市","type":"餐饮服务;中餐厅;特色\/地方风味餐厅","shopinfo":"0","name":"炙热青春"}],"infocode":"10000"
    try:
        r = requests.get(url)
        r_json = r.json()
    except Exception:
        print(Exception)
        print(195, url)
        return 0
    infocode = r_json['infocode']
    if infocode == '':
        count = r_json['count']
        if int(count) > 0:
            pois_list = r_json['pois']
            for l in pois_list:
                type = l['type']
                for chk_type in FILTER_GD_BUSINESS_AREA_TYPE_LIST:
                    if type.find(chk_type) > -1:
                        return 1
    else:
        change_key()
    return 0

# f = open('MEITUAN_DAZHONG_20170704.csv', 'r', encoding='gbk')
# f_2 = open('MEITUAN_DAZHONG_20170705.csv', 'r', encoding='gbk')
# f_gd = open('GD_POI_KFC_MC.csv', 'r', encoding='utf-8-sig')

# 市key-区key-品牌名key-地址key-{菜类,均价,data_from}
# {city:{district:{name:{address:{catering_kind,average_price,data_from}}}}}
cater_dic = {}
# [{city,district,address,name,catering_kind,average_price,data_from}]
cater_exception_list = []
count_catering = 0
count_catering_exception = 0

coffee_list = []
count_coffee = 0

fo = open('MEITUAN_DAZHONG_20170705 - 副本.csv', 'r')

file_line_list = []
for i in fo:
    file_line_list.append(i)
fo.closed
#
# fo = open('MEITUAN_DAZHONG_20170705 - 副本.csv', 'r')
# while fo.readline():
#     file_line_list_b.append(fo.readline())
file_line_list_len = len(file_line_list)
file_jump_step_num = 10000
count_catering_exception = 0
count_coffee = 0
count_catering = 0

def get_exception_logic_split_loop(nloop):
    print(247,nloop)
    global touse_key,cater_dic, file_line_list, file_line_list_len, file_jump_step_num, count_catering_exception, count_coffee, count_catering
    start_line = nloop * file_jump_step_num
    if start_line >= file_line_list_len:
        print('last-line')
        return
    else:
        start_line_count = 0
        end_line = start_line + file_jump_step_num
        if end_line >= file_line_list_len:
            end_line = file_line_list_len - 1
        for i in range(start_line, end_line, 1):
            l_ = file_line_list[i].replace('\n', '').split(',')
            city = l_[0]
            district = l_[1]
            address = l_[2]
            name = l_[3]
            average_price = l_[4]
            catering_kind = l_[5]
            data_from = 'mtdz_5'
            # 数据准备层
            # 数据运算层
            # 该层处理从目标文件取出的字段列表
            focus_list = [city, district, address, name, catering_kind, average_price, data_from]
            dic_exception = {}
            dic_exception['data_from'] = data_from
            dic_exception['city'] = city
            dic_exception['district'] = district
            dic_exception['name'] = name
            dic_exception['address'] = address
            dic_exception['catering_kind'] = catering_kind
            dic_exception['average_price'] = average_price

            if not chk_list_thickness(focus_list) or not chk_city_district(city) or not chk_city_district(
                    district) or not chk_catering_kind(catering_kind):
                count_catering_exception += 1
                cater_exception_list.append(dic_exception)
            else:
                name = get_name(name)

                m = chk_is_coffee(name)
                # if m:
                #     print(list_)
                if not m:
                    m = chk_is_coffee(catering_kind)
                if m:
                    count_coffee += 1
                    coffee_list.append(dic_exception)

                if not m:
                    dic_details = {}
                    dic_details['data_from'] = data_from
                    dic_details['catering_kind'] = catering_kind
                    dic_details['average_price'] = average_price
                    if_in_business_area = chk_in_business_area(address)
                    if_in_business_area_criterion = 'str_match'
                    if if_in_business_area == 0:
                        city_r = '&city=' + district
                        keywords = '&keywords=' + address + '|' + name
                        start_line_count += 1
                        print(417, start_line,start_line_count)
                        if start_line_count%QPS == 0:
                            print('sleep')
                            sleep(1)
                        url = URL_TYPE + '?' + 'key=' + touse_key + RADIUS + keywords + city_r + CITYLIMIT

                        if_in_business_area = fliter_gd_business_area_type(url)
                        if_in_business_area_criterion = 'str_match+request_api'

                    dic_details['if_in_business_area_criterion'] = if_in_business_area_criterion
                    dic_details['if_in_business_area'] = if_in_business_area

                    if city not in cater_dic:
                        cater_dic[city] = {}
                    if district not in cater_dic[city]:
                        cater_dic[city][district] = {}
                    if name not in cater_dic[city][district]:
                        cater_dic[city][district][name] = {}
                    if address not in cater_dic[city][district][name]:
                        cater_dic[city][district][name][address] = {}

                    cater_dic[city][district][name][address] = dic_details
                    count_catering += 1

class MyThread(threading.Thread):
    def __init__(self,func,args,name=''):
        threading.Thread.__init__(self)
        self.name = name
        self.func = func
        self.args = args
    def run(self):
        self.func(self.args)

def main():
    print('starting at:',ctime())
    threads_list = []
    thread_sum = math.ceil(file_line_list_len / file_jump_step_num)
    print(thread_sum)
    for nloop in range(1, thread_sum, 1):
        print(nloop)
        thread_instance = MyThread(get_exception_logic_split_loop,(nloop),get_exception_logic_split_loop.__name__)
        print(353,'')
        threads_list.append(thread_instance)
    # 主进程将在所有非守护进程退出后，退出
    for t in threads_list:
        print(t)
        t.setDaemon = False
        t.start()
    # wait for all thrades to finish
    for t in threads_list:
        t.join()

    print(467, cater_dic)
    f_name = 'ALL.csv'
    f = open(f_name, 'w', encoding='utf-8-sig')
    f.write('')
    f.closed
    f = open(f_name, 'a', encoding='utf-8-sig')
    str = 'city, district, name, address, if_in_business_area, if_in_business_area_criterion,catering_kind, average_price, data_from\n'
    f.write(str)
    ## city,district,address,name,catering_kind,average_price,data_from
    count_write_rows = 0
    for i in cater_dic:
        city = i
        if city == '城市':
            continue
        for ii in cater_dic[i]:
            district = ii
            for iii in cater_dic[i][ii]:
                name = iii
                for iv in cater_dic[i][ii][iii]:
                    address = iv
                    catering_kind = cater_dic[i][ii][iii][iv]['catering_kind']
                    average_price = cater_dic[i][ii][iii][iv]['average_price']
                    if_in_business_area = cater_dic[i][ii][iii][iv]['if_in_business_area']
                    if_in_business_area_criterion = cater_dic[i][ii][iii][iv]['if_in_business_area_criterion']
                    data_from = cater_dic[i][ii][iii][iv]['data_from']
                    str = '%s,%s,%s,%s,%s,%s,%s,%s,%s\n' % (
                        city, district, name, address, if_in_business_area, if_in_business_area_criterion,
                        catering_kind, average_price, data_from)
                    f.write(str)
                    count_write_rows += 1
    f.closed
    print(count_write_rows)

if __name__ == '__main__':
    main()

while fo.readline() 少统计了？？

# -*- coding: UTF-8 -*-

import re
import pprint
import json
import time
import math
import sys
import requests
import threading
from time import ctime, sleep

ZHITONGZI_CITY_DIC = {}
f = open('直筒子市_东莞中山.txt', 'r', encoding='utf-8')
ZHITONGZI_CITY_DIC['东莞市'] = []
ZHITONGZI_CITY_DIC['中山市'] = []
c = 0
for i in f:
    ii = i.split('；')
    for iii in ii:
        iv = iii.split('、')
        if len(iv) > 2:
            c += 1
            for v in iv:
                if v.find('（') > -1:
                    v_ = v.split('（')[1]
                elif v.find('）') > -1:
                    v_ = v.split('）')[0]
                else:
                    v_ = v
                if c == 1 or c == 2:
                    ZHITONGZI_CITY_DIC['东莞市'].append(v_)
                elif c == 3 or c == 4:
                    ZHITONGZI_CITY_DIC['中山市'].append(v_)
f.closed

def chk_is_coffee(str):
    l_ = ['coffee', 'coffe', 'cafe', 'café', 'starbucks', 'caffé']
    # 上岛花式铁板烧	日本菜
    # 泛太平洋大酒店面馆	其他
    l_b = ['咖啡', '星巴克']
    # 星巴克
    for i in l_:
        if str.upper().find(i.upper()) != -1:
            return True
    for i in l_b:
        if str.find(i) != -1:
            return True
    return False

def chk_kfc_mdl(str):
    if str.find(u"麦当劳") != -1:
        return 1
    elif str.find(u"肯德基") != -1 or str.upper().find(u"KFC") != -1:
        return 0
    else:
        return 2

def get_name(str):
    if str.find("麦当劳") != -1:
        return '麦当劳'
    elif str.find("肯德基") != -1 or str.upper().find(u"KFC") != -1:
        return '肯德基'
    else:
        # str = '狗不理包子（前门店）'
        # str =  '（清真）三羊水饺(新民路店)'
        # | 添椒 | 潮涮三国IP火锅
        if str.find('（') == -1 and str.find('(') == -1:
            return str
        res = str.strip(' ').split('（')[0].strip(' ')
        if len(res) == 0:
            try:
                res = str.split('）')[1].split('(')[0]
            except Exception:
                print(Exception)
        # 一锅两头牛(烟青路店)
        res_b = res
        try:
            res_b = res.split('(')[0]
        except Exception:
            print(Exception)

        return res_b

def chk_city_district(str):
    city_district = str.replace(' ', '')
    if re.match(r".*[a-zA-Z0-9]", city_district) is not None:
        return False
    elif str.find("[") != -1 or str.find("(") != -1 or str.find(")") != -1:
        return False
    else:
        return city_district

def chk_catering_kind(str):
    catering_kind = str.replace(' ', '')
    if re.match(r".*[0-9]", catering_kind) is not None:
        return False
    else:
        return catering_kind

# ['a','',' ']
def chk_list_thickness(list_):
    if len(list_) == 0:
        return False
    res_list = []
    for i in list_:
        i_b = i.replace(' ', '')
        if i.replace(' ', '') == '':
            return False
        else:
            res_list.append(i_b)
    return res_list

business_area_tag_list = ['大厦', '大楼', '大厦', '百货', '购物中心', '商业中心', 'MALL', '广场', '商场', '单元', '栋', '座', '楼', '层', '底商']

def chk_in_business_area(str):
    global business_area_tag_list
    for i in business_area_tag_list:
        if str.find(i) > -1:
            return 1
    return 0

# MAX_OFFSET = 25
# OFFSET = MAX_OFFSET - 1
MAX_PAGINATION = 100
pagination = MAX_PAGINATION
QPS = 50
TIME_UNIT = 1
# http://lbs.amap.com/api/webservice/guide/tools/info
INFOCODE_OK = '10000'
file_name_key_pool = 'key_pool.pool'
KEY_POOL_LIST = []
touse_key = ''
f = open(file_name_key_pool, 'r', encoding='utf-8')
for i in f:
    try:
        list_ = i.split('\t')
        key = i.split('\t')[1].split()
        KEY_POOL_LIST.append(key[0])
    except Exception:
        print(Exception)
KEY_POOL_NUM_INDICATOR = len(KEY_POOL_LIST) - 1

# 北京市	西城区	金堂羊蝎子火锅	真武庙四条1号
# http://restapi.amap.com/v3/place/around?parameters
URL_TYPE = 'http://restapi.amap.com/v3/place/text'
# URL_TYPE = 'http://restapi.amap.com/v3/around'
touse_key = ''
RADIUS = '&radius=20'
keywords = '&keywords='
OFFSET = '&offset=10'
CITYLIMIT = '&citylimit=true'

URL_FOR_CHANGE_KEY = 'http://restapi.amap.com/v3/place/text?key=%s&types=060100&city=010&OFFSET=1'

def change_key():
    global touse_key
    for i in range(0, KEY_POOL_NUM_INDICATOR, 1):
        key = KEY_POOL_LIST[i]
        if key == touse_key:
            continue
        touse_key = key
        url = URL_FOR_CHANGE_KEY % (touse_key)
        print(62, 'chk_key', url)
        print(62, 'touse_key', touse_key)
        try:
            r = requests.get(url)
        except Exception:
            print(Exception)
            change_key()
        json_ = r.json()
        infocode = json_['infocode']
        if not infocode == INFOCODE_OK:
            if i == KEY_POOL_NUM_INDICATOR:
                sys.exit('NOInvalidKEY')
            change_key()

# 060101	购物服务	商场	购物中心
FILTER_GD_BUSINESS_AREA_TYPE_LIST = ['购物中心']

def fliter_gd_business_area_type(url):
    global FILTER_GD_BUSINESS_AREA_TYPE_LIST
    # {"suggestion":{"keywords":{},"cities":{}},"info":"OK","status":"1","count":"1","pois":[{"typecode":"050118","adname":"西城区","biz_type":"diner","id":"B0FFG8RYC7","pname":"北京市","importance":{},"location":"116.393715,39.957242","distance":{},"tel":"18600185618","biz_ext":{},"shopid":{},"address":"德胜街道六铺炕北小街8-1号","poiweight":{},"cityname":"北京市","type":"餐饮服务;中餐厅;特色\/地方风味餐厅","shopinfo":"0","name":"炙热青春"}],"infocode":"10000"
    try:
        r = requests.get(url)
        r_json = r.json()
    except Exception:
        print(Exception)
        print(195, url)
        return 0
    infocode = r_json['infocode']
    if infocode == '10000':
        count = r_json['count']
        if int(count) > 0:
            pois_list = r_json['pois']
            for l in pois_list:
                type = l['type']
                for chk_type in FILTER_GD_BUSINESS_AREA_TYPE_LIST:
                    if type.find(chk_type) > -1:
                        return 1
    else:
        change_key()
    return 0

# f = open('MEITUAN_DAZHONG_20170704.csv', 'r', encoding='gbk')
# f_2 = open('MEITUAN_DAZHONG_20170705.csv', 'r', encoding='gbk')
# f_gd = open('GD_POI_KFC_MC.csv', 'r', encoding='utf-8-sig')

# 市key-区key-品牌名key-地址key-{菜类,均价,data_from}
# {city:{district:{name:{address:{catering_kind,average_price,data_from}}}}}
cater_dic = {}
# [{city,district,address,name,catering_kind,average_price,data_from}]
cater_exception_list = []
count_catering = 0
count_catering_exception = 0

coffee_list = []
count_coffee = 0

fo = open('MEITUAN_DAZHONG_20170705 - 副本.csv', 'r', encoding='gbk')

# line = fo.readline()
file_line_list = []
while fo.readline():
    file_line_list.append(fo.readline())
file_line_list_len = len(file_line_list)
file_jump_step_num = 5000
count_catering_exception = 0
count_coffee = 0
count_catering = 0

def get_exception_logic_split_loop(nloop):
    print(247,nloop)
    global touse_key,cater_dic, file_line_list, file_line_list_len, file_jump_step_num, count_catering_exception, count_coffee, count_catering
    start_line = nloop * file_jump_step_num
    if start_line >= file_line_list_len:
        print('last-line')
        return
    else:
        start_line_count = 0
        end_line = start_line + file_jump_step_num
        if end_line >= file_line_list_len:
            end_line = file_line_list_len - 1
        for i in range(start_line, end_line, 1):
            l_ = file_line_list[i].replace('\n', '').split(',')
            city = l_[0]
            district = l_[1]
            address = l_[2]
            name = l_[3]
            average_price = l_[4]
            catering_kind = l_[5]
            data_from = 'mtdz_5'
            # 数据准备层
            # 数据运算层
            # 该层处理从目标文件取出的字段列表
            focus_list = [city, district, address, name, catering_kind, average_price, data_from]
            dic_exception = {}
            dic_exception['data_from'] = data_from
            dic_exception['city'] = city
            dic_exception['district'] = district
            dic_exception['name'] = name
            dic_exception['address'] = address
            dic_exception['catering_kind'] = catering_kind
            dic_exception['average_price'] = average_price

            if not chk_list_thickness(focus_list) or not chk_city_district(city) or not chk_city_district(
                    district) or not chk_catering_kind(catering_kind):
                count_catering_exception += 1
                cater_exception_list.append(dic_exception)
            else:
                name = get_name(name)

                m = chk_is_coffee(name)
                # if m:
                #     print(list_)
                if not m:
                    m = chk_is_coffee(catering_kind)
                if m:
                    count_coffee += 1
                    coffee_list.append(dic_exception)

                if not m:
                    dic_details = {}
                    dic_details['data_from'] = data_from
                    dic_details['catering_kind'] = catering_kind
                    dic_details['average_price'] = average_price
                    if_in_business_area = chk_in_business_area(address)
                    if_in_business_area_criterion = 'str_match'
                    if if_in_business_area == 0:
                        city_r = '&city=' + district
                        keywords = '&keywords=' + address + '|' + name
                        start_line_count += 1
                        print(417, start_line,start_line_count)
                        if start_line_count%QPS == 0:
                            print('sleep')
                            sleep(1)
                        url = URL_TYPE + '?' + 'key=' + touse_key + RADIUS + keywords + city_r + CITYLIMIT

                        if_in_business_area = fliter_gd_business_area_type(url)
                        if if_in_business_area == 1:
                            if_in_business_area_criterion = 'request_api'

                    dic_details['if_in_business_area_criterion'] = if_in_business_area_criterion
                    dic_details['if_in_business_area'] = if_in_business_area

                    if city not in cater_dic:
                        cater_dic[city] = {}
                    if district not in cater_dic[city]:
                        cater_dic[city][district] = {}
                    if name not in cater_dic[city][district]:
                        cater_dic[city][district][name] = {}
                    if address not in cater_dic[city][district][name]:
                        cater_dic[city][district][name][address] = {}

                    cater_dic[city][district][name][address] = dic_details
                    count_catering += 1

class MyThread(threading.Thread):
    def __init__(self,func,args,name=''):
        threading.Thread.__init__(self)
        self.name = name
        self.func = func
        self.args = args
    def run(self):
        self.func(self.args)

def main():
    print('starting at:',ctime())
    threads_list = []
    thread_sum = math.floor(file_line_list_len / file_jump_step_num)
    print(thread_sum)
    for nloop in range(1, thread_sum, 1):
        print(nloop)
        thread_instance = MyThread(get_exception_logic_split_loop,(nloop),get_exception_logic_split_loop.__name__)
        print(353,'123')
        threads_list.append(thread_instance)
    # 主进程将在所有非守护进程退出后，退出
    for t in threads_list:
        print(t)
        t.setDaemon = False
        t.start()
    # wait for all thrades to finish
    for t in threads_list:
        t.join()

    print(467, cater_dic)
    f_name = 'ALL.csv'
    f = open(f_name, 'w', encoding='utf-8-sig')
    f.write('')
    f.closed
    f = open(f_name, 'a', encoding='utf-8-sig')
    str = '市,区,品牌名,地址,是否在商场,菜别（类型）,均价,data_from,\n'
    f.write(str)
    ## city,district,address,name,catering_kind,average_price,data_from
    count_write_rows = 0
    for i in cater_dic:
        city = i
        if city == '城市':
            continue
        for ii in cater_dic[i]:
            district = ii
            for iii in cater_dic[i][ii]:
                name = iii
                for iv in cater_dic[i][ii][iii]:
                    address = iv
                    catering_kind = cater_dic[i][ii][iii][iv]['catering_kind']
                    average_price = cater_dic[i][ii][iii][iv]['average_price']
                    if_in_business_area = cater_dic[i][ii][iii][iv]['if_in_business_area']
                    if_in_business_area_criterion = cater_dic[i][ii][iii][iv]['if_in_business_area_criterion']
                    data_from = cater_dic[i][ii][iii][iv]['data_from']
                    str = '%s,%s,%s,%s,%s,%s,%s,%s,%s\n' % (
                        city, district, name, address, if_in_business_area, if_in_business_area_criterion,
                        catering_kind, average_price, data_from)
                    f.write(str)
                    count_write_rows += 1
    f.closed
    print(count_write_rows)

if __name__ == '__main__':
    main()