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@@ -164,9 +164,11 @@ async def get_station_list(d, service, uploader, max_scrolls=MAX_SCROLLS):
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image_uuid = str(uuid.uuid4())
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screenshot_path = take_screenshot(d, image_uuid, save_dir=TEMP_IMAGE_DIR)
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# 检查是否存在广告 (VL) - 仅处理非兔子广告
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# 检查是否存在广告 (VL)
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logger.info("检查是否存在广告弹窗...")
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ad_res = await ReadImageKit.detect_ad_popup(screenshot_path, device_info=device_info)
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ad_top_y_norm = 0.90 # 默认使用一个更宽松的底部边界 (0.90),防止点到导航栏
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if ad_res:
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ad_type = ad_res.get("ad_type")
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if ad_type != "rabbit":
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@@ -178,7 +180,10 @@ async def get_station_list(d, service, uploader, max_scrolls=MAX_SCROLLS):
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if os.path.exists(screenshot_path): os.remove(screenshot_path)
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screenshot_path = take_screenshot(d, image_uuid, save_dir=TEMP_IMAGE_DIR)
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else:
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logger.info(">>> 检测到兔子广告。根据策略不再处理,直接开始识别场站。")
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# 发现兔子广告,不再尝试关闭,直接计算它的顶边界 (归一化 0-1)
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# 我们取 0.90 作为安全阈值,低于此 Y 坐标的场站认为被遮挡
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ad_top_y_norm = 0.90
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logger.info(f">>> 发现兔子广告,设定安全边界为 Y_norm < {ad_top_y_norm}")
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# 检查是否已经滚动到底部 (排除状态栏后,内容与上次一致)
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current_md5 = Kit.get_image_content_md5(
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@@ -234,12 +239,19 @@ async def get_station_list(d, service, uploader, max_scrolls=MAX_SCROLLS):
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logger.info(f"场站 {station_name} 匹配到已处理记录,跳过。")
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continue
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# 【策略调整】每页仅处理第一个识别到的新场站,确保其不被底部广告遮挡
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logger.info(f">>> 发现新场站 '{station_name}'。根据最新策略,每页仅处理第一个场站以避开广告。")
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# 【优化】检查是否被遮挡或太靠近底部
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# card["bounds_norm"] 是 {left, top, right, bottom}
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card_bottom = card["bounds_norm"]["bottom"]
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if card_bottom > ad_top_y_norm:
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logger.warning(f"场站 '{station_name}' 被遮挡或太靠近底部 (Bottom {card_bottom:.2f} > {ad_top_y_norm}),留待下次滚动处理。")
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continue
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# 正常处理新场站
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logger.info(f">>> 发现新场站 '{station_name}',开始处理...")
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new_stations_processed += 1
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click_x, click_y = card["click_point"]
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logger.info(f"准备处理第 {idx + 1} 个场站: {station_name}, 点击坐标: ({click_x}, {click_y})")
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logger.info(f"准备处理场站: {station_name}, 点击坐标: ({click_x}, {click_y})")
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d.click(int(click_x), int(click_y))
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@@ -248,11 +260,26 @@ async def get_station_list(d, service, uploader, max_scrolls=MAX_SCROLLS):
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should_back_to_list = True
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# 截取二级页面图
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detail_uuid = str(uuid.uuid4())
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detail_path = take_screenshot(d, detail_uuid, save_dir=TEMP_IMAGE_DIR)
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# 【新增】二级页面广告检测 (如:免费停车提示)
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logger.info("检查详情页是否存在干扰弹窗...")
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detail_ad_res = await ReadImageKit.detect_ad_popup(detail_path, device_info=device_info)
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if detail_ad_res:
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dad_type = detail_ad_res.get("ad_type")
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if dad_type == "rabbit":
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logger.info(">>> 详情页检测到 rabbit 广告,判定为误报,忽略。")
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else:
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dx, dy = detail_ad_res["x"], detail_ad_res["y"]
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logger.info(f"检测到详情页弹窗: {dad_type},正在点击关闭 ({dx}, {dy})...")
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d.click(dx, dy)
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await asyncio.sleep(1.5)
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# 重新截图,确保后续流程使用的是清理后的界面
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if os.path.exists(detail_path): os.remove(detail_path)
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detail_path = take_screenshot(d, detail_uuid, save_dir=TEMP_IMAGE_DIR)
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# 【优化】后台解析详情页地址,直接传本地路径,避免等待上传
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logger.info(f"已启动后台分析详情页: {station_name}")
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task_addr = asyncio.create_task(service.process_station_address(station_name, detail_path, device_info=device_info))
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@@ -351,17 +378,13 @@ async def get_station_list(d, service, uploader, max_scrolls=MAX_SCROLLS):
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# 从二级页面返回 (仅当确实需要返回时)
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if should_back_to_list:
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d.press("back")
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logger.info(f"等待 {WAIT_BACK_TO_LIST} 秒返回列表...")
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await asyncio.sleep(WAIT_BACK_TO_LIST)
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logger.info(f"等待 {WAIT_BACK_TO_LIST + 1} 秒返回列表...")
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await asyncio.sleep(WAIT_BACK_TO_LIST + 1)
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# 记录 Redis 去重 (仅按名称去重)
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cleaned = Kit.clean_station_name(station_name)
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await redis_kit.set_data(f"crawled:xdt:{cleaned}", "1", expire=REDIS_STATION_EXPIRE)
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# 【策略执行】处理完第一个新场站后立即退出循环,触发翻页
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logger.info(f"已完成本页首个新场站 '{station_name}' 的处理,准备翻页。")
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break
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# 清理已完成的后台任务
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done_tasks = [t for t in background_tasks if t.done()]
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for t in done_tasks:
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@@ -379,7 +402,9 @@ async def get_station_list(d, service, uploader, max_scrolls=MAX_SCROLLS):
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no_new_data_count = 0
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# 6. 翻页
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logger.info("执行翻页滑动...")
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# 【优化】使用“小步快跑”策略,减小滑动距离以避免跳过场站,并能更平滑地躲避广告
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# 步长已在 Setting.py 中统一配置为 SCROLL_DISTANCE_RATIO
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logger.info(f"执行翻页滑动 (步长: {SCROLL_DISTANCE_RATIO})...")
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d.swipe_ext("up", scale=SCROLL_DISTANCE_RATIO)
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await asyncio.sleep(WAIT_AFTER_SCROLL)
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