删除手残上传的测试文件

test_video_integration.py

@@ -1,87 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-视频集成测试
-测试Bot端对从Adapter发送的视频消息处理
-"""
-
-import base64
-import asyncio
-from pathlib import Path
-
-from maim_message import Seg
-from src.chat.message_receive.message import MessageRecv
-
-
-async def test_video_integration():
-    """测试视频消息集成"""
-    print("🎬 视频消息集成测试")
-    print("=" * 60)
-    
-    # 视频文件路径
-    video_path = Path("../参考文件/小猫烧.mp4")
-    
-    if not video_path.exists():
-        print(f"视频文件不存在: {video_path}")
-        return
-    
-    try:
-        # 读取视频文件并编码为base64（模拟Adapter处理）
-        with open(video_path, "rb") as f:
-            video_bytes = f.read()
-        
-        video_base64 = base64.b64encode(video_bytes).decode('utf-8')
-        file_size_mb = len(video_bytes) / (1024 * 1024)
-        
-        print(f"视频文件: {video_path}")
-        print(f"文件大小: {file_size_mb:.2f} MB")
-        print(f"Base64长度: {len(video_base64)} 字符")
-        
-        # 创建视频消息段（模拟Adapter发送的格式）
-        video_segment = Seg(
-            type="video",
-            data={
-                "base64": video_base64,
-                "filename": video_path.name,
-                "size_mb": file_size_mb,
-                "url": "http://example.com/video.mp4"  # 模拟URL
-            }
-        )
-        
-        print("\n📤 模拟Adapter发送视频消息...")
-        
-        # 创建消息接收对象（模拟Bot接收）
-        message_dict = {
-            "message_info": {},
-            "message_segment": {
-                "type": "seglist",
-                "data": [video_segment.to_dict()]
-            },
-            "raw_message": "测试视频消息"
-        }
-        
-        # 创建MessageRecv实例
-        message_recv = MessageRecv(message_dict)
-        
-        print("🤖 Bot端开始处理视频消息...")
-        
-        # 处理消息（这会调用video analyzer）
-        await message_recv.process()
-        
-        print(f"\n✅ 处理完成!")
-        print(f"处理结果: {message_recv.processed_plain_text}")
-        
-        # 输出一些状态信息
-        print(f"\n📊 消息状态:")
-        print(f"  - 是否为图片: {message_recv.is_picid}")
-        print(f"  - 是否为表情: {message_recv.is_emoji}")
-        print(f"  - 是否为语音: {message_recv.is_voice}")
-        
-    except Exception as e:
-        print(f"❌ 测试失败: {str(e)}")
-        import traceback
-        traceback.print_exc()
-
-
-if __name__ == "__main__":
-    asyncio.run(test_video_integration())