219 lines
8.1 KiB
Python
219 lines
8.1 KiB
Python
# coding=utf-8
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import asyncio
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import logging
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import os
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import time
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import uuid
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import uiautomator2 as u2
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from Apps.XinDianTu.Kit import take_screenshot, detect_black_agree_button, detect_any_ad_close, \
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detect_bottom_close_circle, is_background_dimmed
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from Config.Config import TEMP_IMAGE_DIR
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# pip install adbutils
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# 配置日志输出，方便调试和监控
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
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)
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logger = logging.getLogger("OpenXinDianTu")
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async def check_and_close_ad(d):
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"""
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检测并关闭广告弹窗（优先使用计算机图形学方案，节省成本和时间）
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"""
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logger.info("开始检测广告弹窗...")
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# 1. 拍摄截图
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t1 = time.time()
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image_uuid = str(uuid.uuid4())
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# 使用相对路径: 基于当前脚本目录下的 Images 文件夹
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base_dir = os.path.dirname(os.path.abspath(__file__))
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save_dir = TEMP_IMAGE_DIR
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screenshot_path = take_screenshot(d, image_uuid, save_dir=save_dir)
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logger.info(f"Step [广告检测截图] 耗时: {time.time() - t1:.4f}s")
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# 1.1 特征预检：检测背景蒙板
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is_dimmed = is_background_dimmed(screenshot_path)
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if is_dimmed:
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logger.info("检测到背景变暗（蒙板），极大概率存在广告弹窗。")
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# 2. 图形学检测方案 (Local CV)
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t_cv = time.time()
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# 方案 A: 检测黑色的"同意"按钮 (隐私协议)
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# 这一步不需要模板，直接通过颜色和形状特征检测
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agree_pos = detect_black_agree_button(screenshot_path, debug_dir=save_dir)
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if agree_pos:
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x, y = agree_pos
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logger.info(f"通过图形学算法检测到隐私协议'同意'按钮: ({x}, {y})")
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d.click(x, y)
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logger.info(f"Step [图形学检测-同意按钮] 耗时: {time.time() - t_cv:.4f}s")
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# 清理截图
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if os.path.exists(screenshot_path):
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os.remove(screenshot_path)
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return True
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# 方案 B: 多模板匹配检测 "关闭(X)" 按钮 (支持多种广告样式)
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template_dir = os.path.join(base_dir, "Templates")
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if os.path.exists(template_dir):
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logger.info(f"正在尝试多模板匹配关闭按钮: {template_dir}")
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# 如果检测到蒙板，可以适当调低匹配阈值
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match_threshold = 0.6 if is_dimmed else 0.7
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close_pos = detect_ad_close_x_with_threshold(screenshot_path, template_dir, save_dir, match_threshold)
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if close_pos:
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x, y = close_pos
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logger.info(f"通过多模板匹配检测到广告关闭按钮: ({x}, {y})")
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d.click(x, y)
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logger.info(f"Step [图形学检测-关闭按钮] 耗时: {time.time() - t_cv:.4f}s")
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if os.path.exists(screenshot_path):
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os.remove(screenshot_path)
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return True
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# 方案 C: 底部圆形关闭按钮检测 (无模板，基于几何特征)
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# 针对插屏广告底部中间的圆形关闭按钮
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circle_pos = detect_bottom_close_circle(screenshot_path, debug_dir=save_dir)
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if circle_pos:
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x, y = circle_pos
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logger.info(f"通过几何特征检测到底部圆形关闭按钮: ({x}, {y})")
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d.click(x, y)
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logger.info(f"Step [图形学检测-底部圆形按钮] 耗时: {time.time() - t_cv:.4f}s")
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if os.path.exists(screenshot_path):
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os.remove(screenshot_path)
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return True
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logger.info(f"本地图形学检测完成，未发现已知广告。")
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# 清理本地截图
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if os.path.exists(screenshot_path):
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os.remove(screenshot_path)
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return False
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def detect_ad_close_x_with_threshold(screenshot_path, template_dir, debug_dir, threshold):
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"""
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带自定义阈值的多模板匹配
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"""
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for filename in os.listdir(template_dir):
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if filename.startswith("ad_close") and filename.endswith(".jpg"):
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template_path = os.path.join(template_dir, filename)
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from Apps.XinDianTu.Kit import detect_ad_close_x
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pos = detect_ad_close_x(screenshot_path, template_path, debug_dir=debug_dir, threshold=threshold)
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if pos:
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return pos
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return None
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async def open_mini_program():
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"""
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异步形式的进入微信小程序
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"""
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# 连接设备
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d = u2.connect()
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logger.info("执行进入小程序.")
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# 启动微信 (强制停止后再启动，确保回到主页)
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logger.info("启动微信...")
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d.app_start("com.tencent.mm", stop=True)
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await asyncio.sleep(5) # 给微信充足的启动时间
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# 0. 确保在“微信”消息列表标签页
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tab_chat = d(text="微信", resourceId="com.tencent.mm:id/f2s") # 常见底部标签 ID
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if not tab_chat.exists:
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tab_chat = d(text="微信")
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if tab_chat.exists:
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# 如果没选中（通常选中的文本颜色不同或有其他特征，这里直接点一下确保切换）
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logger.info("点击底部‘微信’标签，确保在消息列表页.")
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tab_chat.click()
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await asyncio.sleep(1)
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# 1. 点击搜索按钮（放大镜图标）
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# 仅保留坐标点击逻辑
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# window_size = d.window_size()
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# w, h = window_size[0], window_size[1]
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#
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# # 精确相对坐标：x=84%, y=8% (基于截图推算)
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# click_x = int(w * 0.84)
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# click_y = int(h * 0.08)
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# logger.info(f"使用精确坐标点击搜索按钮: ({click_x}, {click_y})")
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# d.click(click_x, click_y)
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# 点击搜索按钮（放大镜图标）
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logger.info("尝试查找并点击 '搜索按钮（放大镜图标）'...")
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d.image.click("SearchButton.jpg")
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logger.info("点击了搜索按钮（放大镜图标）")
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# 点击后给予一定的加载时间
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await asyncio.sleep(2)
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# 2. 直接尝试输入内容 (既然已经看到了搜索界面，我们不再进行严格的特征校验)
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logger.info("准备输入搜索内容: 新电途")
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# 启用 u2 快速输入法 (使用更新的方法名)
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# d.set_input_ime(True)
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# 尝试点击搜索框位置以确保获取焦点 (通常在顶部居中偏左)
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# search_bar_x, search_bar_y = int(w * 0.4), int(h * 0.08)
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# d.click(search_bar_x, search_bar_y)
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# await asyncio.sleep(1.5) # 稍微多等一会儿让输入法准备好
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# 直接发送按键
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try:
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# 尝试先不使用 clear=True，因为它在某些设备上会导致 ADB_KEYBOARD_CLEAR_TEXT 错误
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# 如果需要清除文本，可以尝试全选+删除，或者假设搜索框是空的
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logger.info("尝试输入文字: 新电途")
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d.send_keys("新电途")
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logger.info("文字输入指令已发送.")
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except Exception as e:
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logger.warning(f"直接 send_keys 失败: {e}")
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try:
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# 备选方案：尝试获取焦点元素并设置文本
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logger.info("尝试使用 set_text 设置文本...")
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d(focused=True).set_text("新电途")
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logger.info("set_text 指令已发送.")
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except Exception as e2:
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logger.error(f"文字输入彻底失败: {e2}")
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# 最后的尝试：切换回默认输入法（有时 FastInputIME 会卡住）
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# d.set_fastinput_ime(False)
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# d.send_keys("新电途")
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await asyncio.sleep(3)
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# # 兜底点击：点击搜索结果的第一项位置 (x=50%, y=18%)
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# res_x, res_y = int(w * 0.5), int(h * 0.18)
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# logger.info(f"尝试坐标点击第一项: ({res_x}, {res_y})")
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# d.click(res_x, res_y)
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# 点击符合新电途图标的小程序
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logger.info("尝试查找并点击 '新电途小程序'...")
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d.image.click("xdt.jpg")
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logger.info("点击了新电途的小程序")
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await asyncio.sleep(10)
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# 进入小程序后，检查并处理广告
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await check_and_close_ad(d)
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return True
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async def main():
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success = await open_mini_program()
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if success:
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logger.info("任务执行成功.")
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else:
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logger.error("任务执行失败.")
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if __name__ == "__main__":
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try:
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asyncio.run(main())
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except KeyboardInterrupt:
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logger.info("程序被用户中断.")
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except Exception as e:
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logger.exception(f"运行过程中出现异常: {e}")
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