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detect/juming.py
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detect/juming.py
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# -*- coding: UTF-8 -*-
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'''
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@Project :domainScanDemo
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@File :juming.py
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@IDE :PyCharm
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@Author :梦伴
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@Date :2026/3/19 15:51
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@explain : 聚名网API封装类 - 提供登录、域名查询、删除域名列表等功能
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'''
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import base64 # Base64编码模块
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import hashlib # 哈希算法模块
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import json # JSON处理模块
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import os # 操作系统接口模块
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import pickle # 序列化模块
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import random # 随机数生成模块
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import subprocess # 子进程管理模块
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import time # 时间处理模块
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from functools import partial
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from typing import Optional, Tuple, Dict, List, Any # 类型提示
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import requests # HTTP请求库
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from loguru import logger # 日志记录库
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from requests.cookies import RequestsCookieJar # Cookie处理
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# 常量定义
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BASE_URL = "https://www.juming.com" # 聚名网基础URL
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CAPTCHA_MAX_RETRY = 5 # 验证码最大重试次数
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REQUEST_TIMEOUT = 10 # 请求超时时间（秒）
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DOWNLOAD_TIMEOUT = 60 # 下载超时时间（秒）
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SEED_TIME_OFFSET = 286 # 种子时间偏移量
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SLIDE_OFFSET = 290 # 滑块偏移量
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SLIDE_DURATION = 611 # 滑动持续时间
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class MySubprocessPopen(subprocess.Popen): # 自定义子进程类
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def __init__(self, *args, **kwargs): # 初始化方法
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kwargs['encoding'] = "UTF-8" # 设置编码为UTF-8
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super().__init__(*args, **kwargs) # 调用父类初始化
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subprocess.Popen = MySubprocessPopen # 替换默认的Popen类
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os.environ["EXECJS_RUNTIME"] = "Node" # 设置JavaScript运行时为Node.js
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startupinfo = subprocess.STARTUPINFO()
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startupinfo.dwFlags |= subprocess.STARTF_USESHOWWINDOW
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subprocess.Popen = partial(subprocess.Popen, encoding='utf-8', startupinfo=startupinfo)
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def calculate_seed(t: int) -> str: # 计算验证码种子值
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now = int(time.time()) # 获取当前时间戳
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c = now - t # 计算时间差
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seed = base64.b64encode(str(c).encode()).decode() # Base64编码
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return seed # 返回种子字符串
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def random_fingerprint() -> str: # 生成随机设备指纹
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data = str(random.random()) + str(time.time()) # 组合随机数和时间戳
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return hashlib.sha256(data.encode()).hexdigest() # 返回SHA256哈希值
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def glwb(s: Optional[str]) -> str: # JS文本过滤函数
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"""
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过滤特殊字符，防止XSS攻击
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Args:
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s: 待过滤的字符串
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Returns:
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过滤后的字符串
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"""
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if s is None or not isinstance(s, str): # 检查输入是否有效
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return '' # 返回空字符串
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a_nr = s # 复制字符串
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a_nr = a_nr.replace('"', '"') # 替换双引号
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a_nr = a_nr.replace("'", ''') # 替换单引号
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a_nr = a_nr.replace('<', '<') # 替换小于号
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a_nr = a_nr.replace('>', '>') # 替换大于号
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a_nr = a_nr.replace('\\', '\') # 替换反斜杠
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return a_nr # 返回过滤后的字符串
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def md5_19(text: str) -> str: # 计算MD5并返回前19位
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"""
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计算MD5哈希值并截取前19位
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Args:
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text: 待哈希的文本
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Returns:
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MD5哈希值的前19位
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"""
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if not text: # 检查输入是否为空
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return '' # 返回空字符串
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md5 = hashlib.md5(text.encode('utf-8')).hexdigest() # 生成32位MD5
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return md5[:19] # 返回前19位
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def encrypt_password(loginToken: str, password: str) -> str: # 加密密码
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"""
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使用双重MD5加密密码
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Args:
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loginToken: 登录令牌
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password: 明文密码
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Returns:
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加密后的密码
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"""
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filtered_pwd = glwb(password) # 过滤密码中的特殊字符
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step1 = f'[jiami{filtered_pwd}mima]' # 拼接固定盐值
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md5_step1 = md5_19(step1) # 第一次MD5加密
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step2 = loginToken + md5_step1 # 拼接登录令牌
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final_result = md5_19(step2) # 第二次MD5加密
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return final_result # 返回最终加密结果
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class JM(object): # 聚名网API封装类
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token: str # 验证码token
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loginToken: str = '' # 登录令牌
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session_id: str # 会话ID
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fingerprint: str # 设备指纹
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captchaId: str # 验证码ID
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encryptionPublicKey: str # 加密公钥
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cookie: RequestsCookieJar = {} # Cookie存储
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# 默认请求头
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headers = {
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'Host': 'www.juming.com', # 主机名
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'sec-ch-ua-platform': '"Windows"', # 平台标识
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'x-requested-with': 'XMLHttpRequest', # AJAX请求标识
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'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/146.0.0.0 Safari/537.36 Edg/146.0.0.0', # 用户代理
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'accept': '*/*', # 接受所有类型
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'sec-ch-ua': '"Chromium";v="146", "Not-A.Brand";v="24", "Microsoft Edge";v="146"', # 浏览器标识
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'sec-ch-ua-mobile': '?0', # 是否移动端
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'origin': 'https://www.juming.com', # 请求源
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'sec-fetch-site': 'same-origin', # 请求站点
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'sec-fetch-mode': 'cors', # 请求模式
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'sec-fetch-dest': 'empty', # 请求目标
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'referer': 'https://www.juming.com/', # 来源页面
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'accept-language': 'zh-CN,zh;q=0.9', # 接受的语言
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'priority': 'u=1, i', # 请求优先级
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'Content-Type': 'application/x-www-form-urlencoded', # 内容类型
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}
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def __init__(self, proxies: Optional[Dict] = None): # 初始化方法
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self.session = requests.Session() # 创建会话对象
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self.session.timeout = REQUEST_TIMEOUT # 设置超时时间
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self.session.proxies = proxies # 设置代理
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self.base_url = BASE_URL # 设置基础URL
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logger.debug(proxies)
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def captcha_init(self) -> Tuple[bool, str]: # 初始化滑块验证码
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"""
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初始化滑块验证码
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Returns:
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Tuple[bool, str]: (是否成功, 消息)
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"""
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self.fingerprint = random_fingerprint() # 生成随机指纹
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data = { # 构建请求数据
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"request_id": self.fingerprint, # 请求ID
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"scene": "default", # 场景
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"seed": calculate_seed(SEED_TIME_OFFSET) # 种子值
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}
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logger.info(data)
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self.headers['Content-Type'] = 'application/x-www-form-urlencoded' # 设置内容类型
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url = f"{self.base_url}/captcha/init" # 初始化URL
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# self.cookie.clear()
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# self.cookie.update({'acw_sc__v2': '69d948ed49117d89433d4316a79ada6f00d68f26'})
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# logger.info(self.cookie)
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response = self.session.post(url, headers=self.headers, data=data, cookies=self.cookie).json() # 发送请求
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logger.info(response)
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if response['code'] == 1: # 初始化成功
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self.captchaId = response['data']['captchaId'] # 保存验证码ID
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self.encryptionPublicKey = response['data']['encryptionPublicKey'] # 保存加密公钥
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return response['code'] == 1, response['msg'] # 返回结果
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def captcha_verify(self) -> Tuple[bool, str]: # 验证滑块验证码
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"""
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验证滑块验证码
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Returns:
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Tuple[bool, str]: (是否成功, 消息)
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"""
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data = { # 构建验证数据
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"offset": SLIDE_OFFSET, # 滑块偏移量
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"duration": SLIDE_DURATION, # 滑动持续时间
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"trail": [ # 滑动轨迹
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{"x": 0, "y": 0, "time": 0}, # 起点
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{"x": 0, "y": 0, "time": 17}, # 第1个点
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{"x": 1, "y": 0, "time": 89}, # 第2个点
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{"x": 5, "y": 0, "time": 106}, # 第3个点
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{"x": 14, "y": 0, "time": 123}, # 第4个点
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{"x": 28, "y": 0, "time": 139}, # 第5个点
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{"x": 47, "y": 0, "time": 156}, # 第6个点
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{"x": 74, "y": 0, "time": 173}, # 第7个点
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{"x": 102, "y": 0, "time": 189}, # 第8个点
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{"x": 131, "y": 0, "time": 206}, # 第9个点
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{"x": 159, "y": 0, "time": 223}, # 第10个点
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{"x": 184, "y": 0, "time": 239}, # 第11个点
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{"x": 205, "y": 0, "time": 256}, # 第12个点
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{"x": 227, "y": 1, "time": 273}, # 第13个点
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{"x": 248, "y": 0, "time": 289}, # 第14个点
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{"x": 263, "y": 0, "time": 306}, # 第15个点
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{"x": 276, "y": 0, "time": 323}, # 第16个点
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{"x": 286, "y": 0, "time": 339}, # 第17个点
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{"x": 290, "y": 0, "time": 356}, # 第18个点
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{"x": 290, "y": 0, "time": 373}, # 第19个点
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{"x": 290, "y": 0, "time": 389}, # 第20个点
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{"x": 290, "y": 0, "time": 406}, # 第21个点
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{"x": 290, "y": 0, "time": 423}, # 第22个点
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{"x": 290, "y": 0, "time": 478}, # 终点
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],
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"fingerprint": self.fingerprint, # 设备指纹
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"captchaId": self.captchaId, # 验证码ID
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"serverPublicKey": self.encryptionPublicKey # 服务器公钥
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}
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data_str = json.dumps(data, separators=(",", ":")) # 转换为JSON字符串（压缩格式）
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current_dir = os.path.dirname(__file__)
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jsFile_path = current_dir+"/sdk_leg_env.js" # JavaScript脚本路径
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if not os.path.exists(jsFile_path): # 检查脚本文件是否存在
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logger.error(f"Node.js脚本文件不存在: {jsFile_path}") # 记录错误
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return False, f"缺少签名脚本: {jsFile_path}" # 返回失败
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try: # 异常处理
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with subprocess.Popen( # 执行Node.js脚本
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["node", jsFile_path], # 命令和参数
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stdin=subprocess.PIPE, # 标准输入
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stdout=subprocess.PIPE, # 标准输出
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stderr=subprocess.PIPE, # 标准错误
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text=True, # 文本模式
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encoding="utf-8", # UTF-8编码
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errors="ignore" # 忽略编码错误
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) as proc: # 进程上下文
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stdout, stderr = proc.communicate(data_str, timeout=REQUEST_TIMEOUT) # 传入参数并获取输出
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verify_data = stdout.strip() # 去除空白字符
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if stderr: # 如果有错误输出
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logger.error(f'genData_stderr->[{stderr}]') # 记录错误
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if proc.returncode != 0: # 检查退出码
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return False, f"Node.js脚本执行失败，退出码: {proc.returncode}, 错误信息: {stderr}" # 返回失败
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url = f"{self.base_url}/captcha/verify" # 验证URL
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self.headers['Content-Type'] = 'application/json' # 设置内容类型
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response = self.session.post(url, headers=self.headers, data=verify_data, cookies=self.cookie).json() # 发送验证请求
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if response['code'] == 1: # 验证成功
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self.token = response['data']['token'] # 保存token
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self.session_id = response['data']['session_id'] # 保存会话ID
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return response['code'] == 1, response['msg'] # 返回结果
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except subprocess.TimeoutExpired: # 超时异常
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logger.error("Node.js脚本执行超时") # 记录错误
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return False, "Node.js脚本执行超时" # 返回失败
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except Exception as e: # 其他异常
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logger.error(f"执行Node.js脚本异常: {str(e)}") # 记录错误
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return False, f"执行Node.js脚本异常: {str(e)}" # 返回失败
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if not verify_data: # 检查输出是否为空
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return False, "Node.js脚本未输出任何内容" # 返回失败
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def user_zh_wxdl_ewm(self) -> Tuple[bool, str, Optional[str]]: # 获取微信登录二维码
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"""
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获取微信登录二维码
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Returns:
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Tuple[bool, str, Optional[str]]: (是否成功, 消息, 二维码URL)
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"""
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url = f"{self.base_url}/user_zh/wxdl_ewm" # 二维码URL
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try: # 异常处理
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response = self.session.post(url, headers=self.headers).json() # 发送请求
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self.token = response['data']["token"] # 保存token
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return response['code'] == 1, response['msg'], response['data']['url'] if response['code'] == 1 else None # 返回结果
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except Exception as e: # 异常处理
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return False, f"请求失败: {str(e)}", None # 返回失败
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def user_zh_p_login(self, email: str, password: str, data: Optional[Dict] = None) -> Tuple[bool, str]: # 账号密码登录
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"""
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使用账号密码登录
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Args:
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email: 邮箱账号
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password: 明文密码
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data: 携带的请求数据（用于递归刷新token时传参）
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Returns:
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Tuple[bool, str]: (是否成功, 消息)
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"""
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try: # 异常处理
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captcha_success = False # 验证码成功标志
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captcha_msg = f"滑块验证码失败，{CAPTCHA_MAX_RETRY}次内未成功" # 默认失败消息
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for _ in range(CAPTCHA_MAX_RETRY): # 循环尝试验证滑块
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if data is None: # 如果没有传入data
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captcha_success, captcha_msg = self.captcha_init() # 初始化验证码
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else: # 如果已有data
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captcha_success = True # 直接视为验证通过
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if captcha_success: # 验证码初始化成功
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if data is None: # 只有第一次需要验证滑块
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captcha_success, captcha_msg = self.captcha_verify() # 验证滑块
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if captcha_success: # 滑块验证成功
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if data is None: # 首次登录
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data = { # 构建登录数据
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"re_mm": encrypt_password(self.loginToken, password), # 加密密码
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"re_yx": email, # 邮箱
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"fs": "tl", # 登录方式
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"dltoken": self.loginToken, # 登录令牌
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"token": json.dumps( # token（压缩格式JSON）
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{"code": self.token, "sessionId": self.session_id},
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separators=(",", ":")
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)
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}
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login_url = f"{self.base_url}/user_zh/p_login" # 登录URL
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response = self.session.post( # 发送登录请求
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url=login_url,
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headers=self.headers,
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json=data,
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cookies=self.cookie,
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)
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logger.info(response.text)
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result = response.json() # 解析响应
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code = result.get("code") # 获取状态码
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msg = result.get("msg", "登录接口未返回消息") # 获取消息
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if code == 1: # 登录成功
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self.cookie = response.cookies # 保存Cookie
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return True, msg # 返回成功
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elif code == -118: # token过期
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self.loginToken = result.get("token", "") # 更新登录令牌
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data["re_mm"] = encrypt_password(self.loginToken, password) # 重新加密密码
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data["dltoken"] = self.loginToken # 更新令牌
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return self.user_zh_p_login(email, password, data) # 递归重新登录
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else: # 其他错误
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return False, msg # 返回失败
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return captcha_success, captcha_msg # 返回验证码结果
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except Exception as e: # 异常处理
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return False, f"请求失败: {str(e)}" # 返回失败
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def ykj_get_list(self, page: int = 1, page_size: int = 50, data: Optional[Dict] = None) -> Tuple[bool, Any]: # 获取一口价域名列表
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"""
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获取一口价域名列表
|
||||
Args:
|
||||
page: 页码
|
||||
page_size: 每页数量
|
||||
data: 额外数据
|
||||
Returns:
|
||||
Tuple[bool, Any]: (是否成功, HTML内容或错误消息)
|
||||
"""
|
||||
data = { # 构建请求数据
|
||||
'psize': page_size, # 每页数量
|
||||
'page': page, # 页码
|
||||
} if data is None else data # 如果有data则使用data
|
||||
url = f"{self.base_url}/ykj/get_list" # 列表URL
|
||||
try: # 异常处理
|
||||
self.headers['Content-Type'] = 'application/x-www-form-urlencoded' # 设置内容类型
|
||||
res = self.session.post(url, headers=self.headers, data=data, cookies=self.cookie) # 发送请求
|
||||
|
||||
response = res.json() # 解析响应
|
||||
if response['code'] == -401: # 需要验证码
|
||||
captcha_response = False, f'滑块验证码失败，{CAPTCHA_MAX_RETRY}次内未成功' # 默认失败
|
||||
for _ in range(CAPTCHA_MAX_RETRY): # 循环尝试验证
|
||||
captcha_response = self.captcha_init() # 初始化验证码
|
||||
if captcha_response[0]: # 初始化成功
|
||||
captcha_response = self.captcha_verify() # 验证验证码
|
||||
if captcha_response[0]: # 验证成功
|
||||
data = {
|
||||
'psize': page_size, # 每页数量
|
||||
'page': page, # 页码
|
||||
# 构建token数据
|
||||
'token': json.dumps({ # token（压缩格式JSON）
|
||||
'code': self.token,
|
||||
'sessionId': self.session_id,
|
||||
}, separators=(",", ":"))
|
||||
}
|
||||
return self.ykj_get_list(page, page_size,data=data) # 递归调用
|
||||
return captcha_response[0], captcha_response[1] # 返回验证码结果
|
||||
|
||||
elif response['code'] == 1 and response.get('data') == 'yzmhuaok': # 验证码通过
|
||||
self.cookie = res.cookies # 更新Cookie
|
||||
return self.ykj_get_list(page, page_size) # 递归调用
|
||||
|
||||
elif response['code'] == 1 and response.get('html'): # 成功获取HTML
|
||||
return response['code'] == 1, response['html'] # 返回HTML
|
||||
|
||||
return False, response['msg'] # 返回失败
|
||||
except Exception as e: # 异常处理
|
||||
return False, f"请求失败: {str(e)}" # 返回失败
|
||||
|
||||
def new_cha_del(self, date: str) -> List[str]: # 获取删除域名列表
|
||||
"""
|
||||
获取指定日期的删除域名列表
|
||||
Args:
|
||||
date: 日期（格式：YYYY-MM-DD）
|
||||
Returns:
|
||||
List[str]: 域名列表
|
||||
"""
|
||||
url = f"{self.base_url}/newcha/del_down?scsj={date}" # 下载URL
|
||||
try: # 异常处理
|
||||
response = self.session.get(url, headers=self.headers, cookies=self.cookie, allow_redirects=False) # 发送请求
|
||||
url = response.headers['Location'] # 获取重定向URL
|
||||
response = self.session.get(url, timeout=DOWNLOAD_TIMEOUT) # 下载文件
|
||||
response_text = response.content.decode('utf-8') # 解码内容
|
||||
lines = response_text.strip().splitlines() # 按行分割
|
||||
return lines # 返回域名列表
|
||||
except Exception as e: # 异常处理
|
||||
logger.error(f"<获取删除域名列表错误>: {str(e)}") # 记录错误
|
||||
return [] # 返回空列表
|
||||
|
||||
def save_cookies(self, filepath: str = "juming_cookies.pkl") -> None: # 保存Cookie到文件
|
||||
"""
|
||||
保存Cookie到文件和Redis
|
||||
Args:
|
||||
filepath: 文件路径
|
||||
"""
|
||||
with open(filepath, "wb") as f: # 以二进制写入模式打开文件
|
||||
pickle.dump(self.cookie, f) # 序列化保存
|
||||
|
||||
# 保存到Redis
|
||||
try:
|
||||
import redis
|
||||
from app.config import config
|
||||
redis_client = redis.Redis(
|
||||
host=config.REDIS_HOST,
|
||||
port=config.REDIS_PORT,
|
||||
password=config.REDIS_PASSWORD,
|
||||
db=config.REDIS_DB,
|
||||
decode_responses=True
|
||||
)
|
||||
# 将cookie转换为字典
|
||||
cookie_dict = {}
|
||||
for cookie in self.cookie:
|
||||
cookie_dict[cookie.name] = cookie.value
|
||||
redis_client.set('domain_tool:juming_cookies', str(cookie_dict))
|
||||
except Exception as e:
|
||||
logger.error(f"保存Cookie到Redis失败: {str(e)}")
|
||||
pass
|
||||
|
||||
def load_cookies(self, filepath: str = "juming_cookies.pkl") -> None: # 从文件加载Cookie
|
||||
"""
|
||||
从文件加载Cookie
|
||||
Args:
|
||||
filepath: 文件路径
|
||||
"""
|
||||
try: # 异常处理
|
||||
with open(filepath, "rb") as f: # 以二进制读取模式打开文件
|
||||
self.cookie = pickle.load(f) # 反序列化加载
|
||||
except: # 异常处理
|
||||
self.cookie = requests.cookies.RequestsCookieJar() # 创建空Cookie
|
||||
|
||||
|
||||
# if __name__ == '__main__': # 主程序入口
|
||||
# m = JM() # 创建JM实例
|
||||
#
|
||||
# # 账号密码登录（请替换为您的账号密码）
|
||||
# email = 'chaofanai1998@gmail.com' # 邮箱账号
|
||||
# password = 'llzz123,./' # 密码
|
||||
#
|
||||
# logger.info(f"开始登录: {email}") # 记录日志
|
||||
# login_result = m.user_zh_p_login(email, password) # 执行登录
|
||||
# logger.info(f"登录结果: {login_result}") # 记录结果
|
||||
#
|
||||
# if not login_result[0]: # 登录失败
|
||||
# logger.error("登录失败，程序退出") # 记录错误
|
||||
# exit(1) # 退出程序
|
||||
#
|
||||
# m.load_cookies() # 加载Cookie
|
||||
#
|
||||
# # 获取一口价域名
|
||||
# import re # 导入正则表达式模块
|
||||
#
|
||||
# for page in range(1, 2): # 循环获取页面
|
||||
# success, html = m.ykj_get_list(page) # 获取列表
|
||||
# if success: # 获取成功
|
||||
# pattern_ym = r"<a class='yda1 ydz' ym='([^']*)'" # 匹配域名
|
||||
# results = re.findall(pattern_ym, html) # 查找所有域名
|
||||
# logger.info(results)
|
||||
# logger.info(f"第{page}页，找到{len(results)}个域名") # 记录结果
|
||||
# if not results: # 如果没有域名
|
||||
# logger.info("没有更多域名，停止获取") # 记录日志
|
||||
# break # 退出循环
|
||||
# time.sleep(5) # 等待5秒
|
||||
#
|
||||
# # 获取删除域名
|
||||
# deleted_domains = m.new_cha_del("2026-03-11") # 获取删除域名
|
||||
# logger.info(f"找到{len(deleted_domains)}个删除域名") # 记录结果
|
||||
#
|
||||
# m.save_cookies() # 保存Cookie
|
||||
Reference in New Issue
Block a user