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()
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