'commit'

Apps/YeLiTe/Test/test_click_verification.py

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+# coding=utf-8
+import sys
+import os
+import time
+import asyncio
+import uiautomator2 as u2
+import cv2
+
+# Add project root to sys.path
+project_root = os.path.abspath(os.path.join(os.path.dirname(__file__), "../../../"))
+sys.path.append(project_root)
+
+try:
+    from Apps.YeLiTe.Kit import detect_cards_cv, draw_rectangles, take_screenshot, get_image_content_md5
+    from Apps.YeLiTe.Config import Setting
+except ImportError as e:
+    print(f"Import Error: {e}")
+    sys.exit(1)
+
+async def run_verification():
+    print(">>> [Step 0] 连接设备...")
+    try:
+        d = u2.connect()
+        info = d.info
+        print(f"设备已连接: {info.get('productName', 'Unknown Device')}")
+    except Exception as e:
+        print(f"设备连接失败: {e}")
+        return
+
+    # 这里我们假设已经在列表页，或者直接启动
+    # 为了保险，尝试回到桌面重新进? 不，用户说“获取第一屏场站列表”，假设用户已经准备好了环境，或者我们手动进一下
+    # 为了全自动化，我们调用 Opener 进一下
+    # 但是 Opener 可能会重启微信，有点慢。
+    # 我们先判断当前包名，如果是微信，就默认在列表页（或者由用户手动滑到列表页）
+    # 用户指令暗示是交互式的："获取第一屏...你去点击一下...停止程序"
+    # 所以我们假设当前就在列表页
+    
+    current_app = d.app_current()
+    print(f"当前前台应用: {current_app.get('package')}")
+    if "com.tencent.mm" not in current_app.get('package', ''):
+        print("警告：微信似乎不在前台，请确保手机显示的是【驿来特】小程序列表页")
+        print("给你 5 秒钟调整手机屏幕...")
+        time.sleep(5)
+    else:
+        print("检测到微信在前台，准备截图...")
+        time.sleep(2) # 稍微等一下稳定
+
+    # 1. 获取第一屏场站列表，然后截图
+    timestamp = int(time.time())
+    list_screenshot_path = os.path.join(project_root, "Output", f"verify_step1_list_{timestamp}.jpg")
+    print(f"\n>>> [Step 1] 截图列表页: {list_screenshot_path}")
+    d.screenshot(list_screenshot_path)
+    
+    # 2. 绿框标注，标识模拟点击点
+    print("\n>>> [Step 2] 识别卡片并标注...")
+    # 使用配置中的排除比例
+    cards = detect_cards_cv(list_screenshot_path, top_ratio=Setting.SAFE_EXCLUDE_RATIO, bottom_ratio=Setting.BOTTOM_SAFE_EXCLUDE_RATIO)
+    
+    if not cards:
+        print("!!! [Error] 未检测到任何场站卡片，测试终止")
+        print(f"请检查截图: {list_screenshot_path}")
+        return
+
+    print(f"检测到 {len(cards)} 个卡片区域")
+
+    # 在图上绘制绿框和红点
+    debug_img = cv2.imread(list_screenshot_path)
+    if debug_img is None:
+        print("读取截图失败")
+        return
+
+    first_card = cards[0]
+    # 计算点击点：中心点
+    click_x = int((first_card[0] + first_card[2]) / 2)
+    click_y = int((first_card[1] + first_card[3]) / 2)
+    
+    # 绘制所有卡片
+    for i, box in enumerate(cards):
+         # 绿框
+         cv2.rectangle(debug_img, (int(box[0]), int(box[1])), (int(box[2]), int(box[3])), (0, 255, 0), 2)
+         # 标号
+         cv2.putText(debug_img, str(i+1), (int(box[0]), int(box[1])+30), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)
+    
+    # 绘制第一个卡片的点击点 (实心红圆)
+    cv2.circle(debug_img, (click_x, click_y), 15, (0, 0, 255), -1)
+    # 绘制同心圆
+    cv2.circle(debug_img, (click_x, click_y), 25, (0, 0, 255), 2)
+    
+    marked_path = os.path.join(project_root, "Output", f"verify_step2_marked_{timestamp}.jpg")
+    cv2.imwrite(marked_path, debug_img)
+    print(f">>> 已生成标注图 (绿框+红点): {marked_path}")
+    print(f">>> 模拟点击目标: 第 1 个卡片, 坐标 ({click_x}, {click_y})")
+
+    # 计算点击前的 MD5
+    before_md5 = get_image_content_md5(list_screenshot_path, top_ratio=Setting.SAFE_EXCLUDE_RATIO, bottom_ratio=Setting.BOTTOM_SAFE_EXCLUDE_RATIO)
+
+    # 3. 你去点击一下，等一会
+    print(f"\n>>> [Step 3] 执行点击操作...")
+    # 使用 shell input tap
+    cmd = f"input tap {click_x} {click_y}"
+    print(f"执行命令: {cmd}")
+    d.shell(cmd)
+    
+    print(">>> 点击完成，等待 5 秒让页面跳转...")
+    await asyncio.sleep(5)
+
+    # 4. 再继续截图，判断是否进入
+    after_screenshot_path = os.path.join(project_root, "Output", f"verify_step4_after_{timestamp}.jpg")
+    print(f"\n>>> [Step 4] 截图当前页面: {after_screenshot_path}")
+    d.screenshot(after_screenshot_path)
+    
+    after_md5 = get_image_content_md5(after_screenshot_path, top_ratio=Setting.SAFE_EXCLUDE_RATIO, bottom_ratio=Setting.BOTTOM_SAFE_EXCLUDE_RATIO)
+
+    print("\n>>> [Step 5] 结果验证")
+    print("-" * 30)
+    print(f"点击前 MD5: {before_md5}")
+    print(f"点击后 MD5: {after_md5}")
+    
+    if before_md5 != after_md5:
+        print(">>> [SUCCESS] 判定结果: 成功进入详情页！ (MD5发生变化)")
+    else:
+        print(">>> [FAILURE] 判定结果: 未进入详情页 (MD5未变化)")
+        print("可能原因: 1. 点击无效 2. 页面加载极慢 3. 已经是详情页(误判)")
+    print("-" * 30)
+
+if __name__ == "__main__":
+    loop = asyncio.new_event_loop()
+    asyncio.set_event_loop(loop)
+    loop.run_until_complete(run_verification())