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main.py
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main.py
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import re
import csv
import json
import urllib.request
import time
from pypinyin import lazy_pinyin
def contain_chinese(string):
pattern = re.compile("[\u4e00-\u9fa5]+")
match = pattern.search(string)
return match is not None
def get_pingyin(string):
return ''.join(lazy_pinyin(string)).lower()
def replace_all(string):
replacements = {".net": "", ".com": "", ", Inc.": "", "China Mobile ": "", "Network": "", "Networks": "",
"Network": "", " Telecom": "", "Hong Kong": "", ".jp": "", "Capital Corporation": "",
"Corporation": "", "Japan": "", "International Pte Ltd (Telin Singapore)": "",
"Singapore": "", "Global Ltd": "", "Capital Corp.": "", "Global IT Services": "",
"Indonesia": "", " PCL.": "", " ": ""}
for old, new in replacements.items():
string = string.replace(old, new)
return string
# IP地址归属地查询API的URL
url_template = 'http://ip-api.com/json/{ip}?lang=zh-CN'
# 三个运营商的关键词
unicom_keywords = ['China Unicom', 'CHINA169', 'CNCNET', 'Provincial Net of CU', 'UNICOM']
mobile_keywords = ['China Mobile', 'Provincial Net of CM', 'MOBILE']
telecom_keywords = ['China Telecom', 'China Tietong', 'Chinanet', 'TieTong', 'Provincial Net of CT', 'TELECOM']
# 打开CSV文件
with open('CN.csv', 'r', encoding='utf-8') as csvfile:
reader = csv.reader(csvfile)
# 跳过第一行，因为是标题
next(reader)
# 创建三个CSV文件，用于存储三个运营商的行
unicom_file = open('CN_Unicom.csv', 'w', encoding='utf-8', newline='')
mobile_file = open('CN_Mobile.csv', 'w', encoding='utf-8', newline='')
telecom_file = open('CN_Telecom.csv', 'w', encoding='utf-8', newline='')
unicom_writer = csv.writer(unicom_file)
mobile_writer = csv.writer(mobile_file)
telecom_writer = csv.writer(telecom_file)
# 依次读取每一行，并查询所属运营商
for row in reader:
ip = row[4] # IP地址所在的列为第5列，下标为4
name = row[7]
url = url_template.format(ip=ip)
with urllib.request.urlopen(url) as response:
data = response.read().decode('utf-8')
data = json.loads(data)
if data['status'] == 'success':
city = data['city']
time.sleep(1)
if contain_chinese(name) == True:
row[3] = name.replace("电信", "").replace("移动", "").replace("联通", "")
else:
if contain_chinese(row[3]) == True:
pass
else:
city = city.replace("市", "")
city_pingyin = get_pingyin(city)
if city_pingyin == row[3].replace("'","").replace(" ","").lower():
row[3] = city
if "5G" in name and "5G" not in row[3]:
row[3] += "5G"
if data['status'] == 'success':
isp = data['isp']
# 判断所属运营商
if any(keyword in isp for keyword in unicom_keywords):
if row[1] == "CN":
# print(row)
unicom_writer.writerow(row)
elif any(keyword in isp for keyword in mobile_keywords):
if row[1] == "CN":
mobile_writer.writerow(row)
elif any(keyword in isp for keyword in telecom_keywords):
if row[1] == "CN":
telecom_writer.writerow(row)
else:
print(isp)
# 关闭文件
unicom_file.close()
mobile_file.close()
telecom_file.close()
# HK文件处理
with open('HK.csv', 'r') as file:
reader = csv.reader(file)
data = [row for row in reader]
for row in data:
if row[3] == "city":
continue
if row[2] != "Hong Kong":
row[2] = "HongKong"
if row[3] != 'Hong Kong':
row[3] = "香港HongKong"
if len(replace_all(row[7])) <= 11:
row[3] = "香港" + replace_all(row[7])
elif row[3] == 'Hong Kong':
row[3] = "香港HongKong"
with open('HK.csv', 'w', newline='') as file:
writer = csv.writer(file)
writer.writerows(data)
# JP文件处理
with open('JP.csv', 'r') as file:
reader = csv.reader(file)
data = [row for row in reader]
for row in data:
if row[3] == "city":
continue
if row[2] != "Japan":
row[2] = "Japan"
if row[3] == 'Tokyo':
row[3] = "东京"+replace_all(row[7])
elif row[3] == 'Kochi':
row[3] = "高知"+replace_all(row[7])
elif row[3] == 'Okinawa':
row[3] = "冲绳"+replace_all(row[7])
else:
row[3] = "日本"+row[3]
with open('JP.csv', 'w', newline='') as file:
writer = csv.writer(file)
writer.writerows(data)
# SG文件处理
with open('SG.csv', 'r') as file:
reader = csv.reader(file)
data = [row for row in reader]
for row in data:
if row[3] == "city":
continue
if row[2] != "Singapore":
row[2] = "Singapore"
if row[3] == 'Singapore':
row[3] = "新加坡"+replace_all(row[7])
with open('SG.csv', 'w', newline='') as file:
writer = csv.writer(file)
writer.writerows(data)
# ls_sg_hk_jp.csv 文件处理
with open('ls_sg_hk_jp.csv', 'r') as file:
reader = csv.reader(file)
rows = list(reader)
rows[1][3] = '洛杉矶'
rows[2][3] = '法兰克福'
rows[3][3] = '新加坡'
rows[4][3] = '中国香港'
rows[5][3] = '日本东京'
with open('ls_sg_hk_jp.csv', 'w', newline='') as file:
writer = csv.writer(file)
writer.writerows(rows)