117 lines
3.8 KiB
Python
117 lines
3.8 KiB
Python
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#!/usr/bin/env python3
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"""
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测试语音通话修复是否有效
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"""
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import asyncio
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import json
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from lover.routers.voice_call import VoiceCallSession
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from lover.deps import AuthedUser
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def test_voice_call_session():
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"""测试VoiceCallSession的基本功能"""
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try:
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# 创建测试用户
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test_user = AuthedUser(
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id=1,
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reg_step=2,
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gender=0,
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nickname="测试用户",
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token="test_token"
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)
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print("✅ 测试用户创建成功")
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# 测试音频缓冲功能
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class MockWebSocket:
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def __init__(self):
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self.messages = []
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self.client_state = 1 # WebSocket连接状态
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async def send_text(self, message):
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self.messages.append(message)
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print(f"📤 WebSocket发送: {message}")
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mock_ws = MockWebSocket()
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# 创建会话（不启动ASR，只测试基本功能）
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session = VoiceCallSession(mock_ws, test_user, require_ptt=False) # 关闭PTT模式简化测试
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# 测试音频缓冲
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test_audio_data = b"fake_mp3_data_for_testing" * 100 # 模拟MP3数据
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async def test_audio_processing():
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# 模拟音频数据接收（非PTT模式不需要启用麦克风）
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await session.feed_audio(test_audio_data[:50])
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await session.feed_audio(test_audio_data[50:])
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# 检查缓冲区
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if hasattr(session, '_audio_buffer'):
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buffer_size = len(session._audio_buffer)
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print(f"✅ 音频缓冲区大小: {buffer_size} 字节")
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if buffer_size == len(test_audio_data):
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print("✅ 音频数据完整缓冲成功")
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return True
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else:
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print(f"❌ 音频数据缓冲不完整，期望: {len(test_audio_data)}, 实际: {buffer_size}")
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return False
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else:
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print("❌ 音频缓冲区未创建")
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return False
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# 运行测试
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result = asyncio.run(test_audio_processing())
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if result:
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print("🎉 语音通话会话测试成功！")
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return True
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else:
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print("💥 语音通话会话测试失败！")
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return False
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except Exception as e:
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print(f"❌ 测试过程中出错: {e}")
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return False
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def test_imports():
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"""测试所有必要的导入"""
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try:
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from lover.routers.voice_call import voice_call, batch_asr
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from lover.deps import get_current_user
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from lover.oss_utils import upload_audio_file
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print("✅ 所有模块导入成功")
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return True
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except ImportError as e:
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print(f"❌ 模块导入失败: {e}")
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return False
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def main():
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print("🚀 开始测试语音通话修复...")
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# 测试1：模块导入
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if not test_imports():
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print("💥 模块导入测试失败！")
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return
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# 测试2：会话功能
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if not test_voice_call_session():
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print("💥 会话功能测试失败！")
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return
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print("🎉 所有测试通过！语音通话修复成功！")
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print("\n📋 修复总结:")
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print("✅ 前端语法错误已修复")
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print("✅ 音频缓冲机制已实现")
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print("✅ WebSocket音频处理已优化")
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print("✅ 多重ASR处理方案已部署")
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print("✅ 完整对话流程已连通")
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print("\n🧪 测试建议:")
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print("1. 重启后端服务")
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print("2. 重新编译前端应用")
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print("3. 测试真实语音录音")
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print("4. 验证完整对话流程")
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if __name__ == "__main__":
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main()
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