63 lines
2.0 KiB
Python
63 lines
2.0 KiB
Python
from curl_cffi import requests
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from lxml import etree
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def get_code(url):
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headers = {
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'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',
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'accept-language': 'zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6',
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'cache-control': 'no-cache',
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'dnt': '1',
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'pragma': 'no-cache',
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'priority': 'u=0, i',
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'sec-ch-ua': '"Not A(Brand";v="8", "Chromium";v="132", "Microsoft Edge";v="132"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"Windows"',
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'sec-fetch-dest': 'document',
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'sec-fetch-mode': 'navigate',
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'sec-fetch-site': 'none',
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'sec-fetch-user': '?1',
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'upgrade-insecure-requests': '1',
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'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/132.0.0.0 Safari/537.36 Edg/132.0.0.0',
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}
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response = requests.get(url=url, headers=headers)
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# 解析 HTML
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tree = etree.HTML(response.content)
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# 使用 XPath 提取 value 属性
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code = tree.xpath('//*[@id="code"]/@value')[0]
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# 使用 XPath 提取 value 属性
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code1 = tree.xpath('//*[@id="pass2fa"]/@value')[0]
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return code, code1
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# 定义一个字典，保存已知的国家代码和对应的区域代码
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country_code_map = {
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"1": "US", # 美国
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"44": "GB", # 英国
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"27": "ZA", # 南非
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"234": "NG", # 尼日利亚
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"86": "CN", # 中国
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"63": "PH", # 菲律宾
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}
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def split_phone_number(phone_number):
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# 去掉可能的 '+' 符号
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if phone_number.startswith('+'):
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phone_number = phone_number[1:]
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# 遍历国家代码前缀，尝试匹配
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for prefix in country_code_map:
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if phone_number.startswith(prefix):
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country_code = prefix
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national_number = phone_number[len(prefix):] # 去掉国家码
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return country_code, national_number
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# 如果没有匹配的国家代码，返回 None
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return None, None
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