'commit'

WeiXin/T3_Voice_ActionTest.py

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+# coding=utf-8
+"""
+T3_Voice.py - 语音交互流程测试 (Voice Interaction Test)
+
+【核心功能】
+- 动态交互：执行“截图 -> 识别语音 -> 点击转文字 -> 再次截图 -> 提取内容”的完整闭环。
+- 动作验证：测试长按操作、菜单识别、转文字等待逻辑。
+- 异步逻辑：验证异步 OCR 任务是否能正确捕获转文字后的内容。
+
+【使用场景】
+- 验证微信版本更新后“转文字”按钮位置是否变化。
+- 调试语音消息“点不开”或“转完没内容”的问题。
+- 测试语音转文字的防死循环机制。
+"""
+import os
+import sys
+import logging
+import asyncio
+import cv2
+
+# Add project root
+project_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+if project_root not in sys.path:
+    sys.path.append(project_root)
+
+from WeiXin import WxUtil
+
+# Setup Logger
+logger = logging.getLogger("T3_Voice")
+
+# Configure Root Logger to ensure all logs (including WxUtil) go to file
+root_logger = logging.getLogger()
+root_logger.setLevel(logging.INFO)
+
+# Ensure Log Directory exists
+if hasattr(WxUtil, 'LOG_DIR'):
+    log_dir = WxUtil.LOG_DIR
+else:
+    log_dir = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), "Logs")
+
+if not os.path.exists(log_dir):
+    os.makedirs(log_dir)
+
+# File Handler
+log_file = os.path.join(log_dir, "T3_Voice.log")
+fh = logging.FileHandler(log_file, mode='w', encoding='utf-8')
+formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
+fh.setFormatter(formatter)
+root_logger.addHandler(fh)
+
+# Console Handler (if not already added by WxUtil)
+if not any(isinstance(h, logging.StreamHandler) for h in root_logger.handlers):
+    ch = logging.StreamHandler()
+    ch.setFormatter(formatter)
+    root_logger.addHandler(ch)
+
+async def main():
+    logger.info("--- T3: Voice Processing Test ---")
+    
+    # 1. Connect
+    d = WxUtil.connect_device()
+    if not d:
+        logger.error("Device connection failed.")
+        return
+
+    # 2. Screenshot
+    screenshot_path = os.path.join(WxUtil.OUTPUT_DIR, "T3_Screenshot.jpg")
+    debug_path = os.path.join(WxUtil.OUTPUT_DIR, "T3_Debug.jpg")
+    
+    logger.info("Taking screenshot...")
+    d.screenshot(screenshot_path)
+    logger.info("Initial screenshot taken.")
+
+    # 3. Use analyze_chat_image with strategy='ALL' to test conversion
+    # This simulates the real bot behavior for voice messages
+    logger.info("Running WxUtil.analyze_chat_image (Strategy=ALL)...")
+    
+    # This function handles the click -> convert -> rescan loop internally
+    final_messages, _ = await WxUtil.analyze_chat_image(
+        screenshot_path, 
+        debug_path, 
+        device=d, 
+        process_strategy="ALL"
+    )
+
+    # 4. Output Result
+    logger.info("--- Final Voice Results ---")
+    voice_msgs = [m for m in final_messages if m['type'] == 'voice']
+    if not voice_msgs:
+        logger.info("No voice messages found.")
+    else:
+        for i, msg in enumerate(voice_msgs):
+            content = msg.get('content')
+            converted_status = "YES" if msg.get('is_converted') else "NO"
+            logger.info(f"Voice [{i}] Sender: {msg['sender']} | Converted: {converted_status} | Content: {content}")
+
+if __name__ == "__main__":
+    asyncio.run(main())