craw_spider/spiders/yaoshibang/captcha_deal.py

# import base64
# import random
# import time
#
# import requests
# from DrissionPage import ChromiumPage, ChromiumOptions
# from PIL import Image
#
# token = "zPzmt1mG1ouCU6GTzsZN2Lmm8pdZypapPcLJTBRETco"
#
# proxyUrl = "117.26.226.31:40030"
# proxies = {
#     "http": "http://" + proxyUrl,
#     "https": "http://" + proxyUrl,
# }
#
#
# class CaptchaDeal(object):
#     def __int__(self,driver=None):
#         self.
#
#     def get_page(self):
#         """解析验证码界面"""
#         self.page.get(
#             f'https://sh.fang.anjuke.com/xinfang/captchaxf-verify/?callback=shield&from=antispam&serialID=cf63d17fe46723260e58ad3ef8319a4a_ded9facd89c34826b15f349ca06a22f9&history=aHR0cDovL2NzLmZhbmcuYW5qdWtlLmNvbS9sb3VwYW4vYWxsL3AzLw%3D%3D')
#         self.page.wait.doc_loaded()
#         time.sleep(1.5)
#         self.page.ele("xpath://div[contains(@class,'geetest_content')]").click()
#         self.page.wait.doc_loaded()
#         time.sleep(3)
#         # 截图
#
#         # 获取判断验证码元素
#         captcha_type = self.page.ele("xpath://div[@id='ISDCaptcha']//div[contains(@class,'geetest_submit_tips')]")
#
#         # 滑块验证处理
#         print("为滑块验证码")
#         capt_ele = self.page.ele(
#             "xpath://div[@id='ISDCaptcha']//div[contains(@class,'geetest_box_wrap')]//div[@role='dialog']")
#         capt_ele.get_screenshot('./element_screenshot.png')
#
#         distance = self.verify(2)
#         print(f"滑块距离：{distance}")
#
#         slider_element = self.page.ele(
#             "xpath://div[contains(@class,'geetest_slider')]//div[contains(@class,'geetest_btn')]")
#         self.simulate_slider_drag(slider_element, float(distance))
#
#         time.sleep(5)
#         print(self.page.url, self.page.title)
#
#     def verify(self, type_num):
#         """调用云码平台服务"""
#         with open('element_screenshot.png', 'rb') as f:
#             b = base64.b64encode(f.read()).decode()
#
#         url = "http://api.jfbym.com/api/YmServer/customApi"
#
#         if type_num == 1:
#             # 坐标类型
#             data = {
#                 "token": token,
#                 "type": "30332",
#                 "direction": "top",
#                 "click_num": 3,
#                 "image": b,
#             }
#         else:
#             # 滑块类型
#             data = {
#                 "token": token,
#                 "type": "22222",
#                 "image": b,
#             }
#
#         _headers = {
#             "Content-Type": "application/json"
#         }
#
#         response = requests.request("POST", url, headers=_headers, json=data).json()
#         print(response)
#         return response["data"]["data"]
#
#     def generate_human_track(self, distance):
#         """
#         生成人类拖动的轨迹
#         :param distance: 需要拖动的距离（像素）
#         :return: 轨迹点列表，每个点包含(x偏移, y偏移, 延迟时间)
#         """
#         tracks = []
#         current = 0
#         mid = distance * 0.7  # 70%处开始减速
#         t = 0.2
#         v = 0
#         move_points = []
#
#         # 第一阶段：加速
#         while current < mid:
#             a = random.uniform(2, 4)
#             v0 = v
#             v = v0 + a * t
#             move = v0 * t + 0.5 * a * t * t
#             current += move
#             move_points.append(move)
#
#         # 第二阶段：减速
#         while current < distance:
#             a = -random.uniform(0.5, 1.5)
#             v0 = v
#             v = v0 + a * t
#             if v < 0.5:  # 防止速度过小
#                 v = 0.5
#             move = v0 * t + 0.5 * a * t * t
#             current += move
#             move_points.append(move)
#
#         # 添加随机性并生成最终轨迹
#         total_points = len(move_points)
#         for i, move in enumerate(move_points):
#             x_offset = move
#
#             # 添加垂直抖动（模拟手抖）
#             if i % random.randint(2, 4) == 0:
#                 y_offset = random.randint(-2, 2)
#             else:
#                 y_offset = 0
#
#             # 时间间隔（模拟人类反应）
#             if i < total_points * 0.3:  # 开始阶段较快
#                 duration = random.uniform(0.01, 0.03)
#             elif i > total_points * 0.7:  # 结束阶段较慢
#                 duration = random.uniform(0.03, 0.08)
#             else:  # 中间阶段
#                 duration = random.uniform(0.02, 0.05)
#
#             # 随机添加微小停顿
#             if random.random() < 0.05:
#                 duration += random.uniform(0.05, 0.1)
#
#             tracks.append((x_offset, y_offset, duration))
#
#         # 最终微调：到达终点后轻微回拉
#         if random.random() < 0.7:
#             tracks.append((-random.randint(1, 3), 0, 0.05))
#
#         return tracks
#
#     def simulate_slider_drag(self, slider_element, target_distance):
#         """
#         模拟人类拖动滑块
#         """
#         # 移动到滑块并按住
#         self.page.actions.move_to(slider_element).hold()
#         # 生成轨迹
#         tracks = self.generate_human_track(target_distance)
#         # 按轨迹拖动
#         for track in tracks:
#             offset_x, offset_y, duration = track
#             self.page.actions.move(offset_x, offset_y, duration=duration / 1000)
#         # 释放鼠标
#         self.page.actions.release()
#
#
# if __name__ == '__main__':
#     captcga_deal = CaptchaDeal()
#     captcga_deal.run()