162 lines
5.8 KiB
Python
162 lines
5.8 KiB
Python
#!/usr/bin/env python3
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"""
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验证SSE流式修复逻辑的独立测试
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不依赖完整的服务环境，仅验证AsyncGenerator传递逻辑
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"""
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import asyncio
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import time
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from typing import AsyncGenerator, Dict, Any
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class MockRAGFlowClient:
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"""模拟RAGFlow客户端，返回AsyncGenerator"""
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async def converse_with_chat_assistant(self, **kwargs) -> AsyncGenerator[Dict[str, Any], None]:
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"""模拟流式对话接口"""
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print(f"🔄 MockRAGFlowClient: 开始流式响应 {kwargs}")
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responses = [
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{"answer": "我", "data": {"answer": "我"}},
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{"answer": "是", "data": {"answer": "是"}},
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{"answer": "AI", "data": {"answer": "AI"}},
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{"answer": "助手", "data": {"answer": "助手"}},
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{"answer": "。", "data": {"answer": "。"}}
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]
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for i, response in enumerate(responses):
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await asyncio.sleep(0.5) # 模拟网络延迟
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print(f"📤 MockRAGFlowClient: 发送数据块 {i+1}")
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yield response
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print("✅ MockRAGFlowClient: 流式响应完成")
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class MockRAGFlowServiceOld:
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"""模拟修复前的服务层（错误实现）"""
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@classmethod
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async def converse_with_chat_assistant_services(cls, **kwargs):
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client = MockRAGFlowClient()
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# ❌ 错误实现：使用await消费AsyncGenerator
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print("🔴 MockRAGFlowServiceOld: 错误使用await")
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responses = []
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async for response in client.converse_with_chat_assistant(**kwargs):
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responses.append(response)
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print(f"🔴 MockRAGFlowServiceOld: 缓冲了 {len(responses)} 个数据块")
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return responses
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class MockRAGFlowServiceNew:
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"""模拟修复后的服务层（正确实现）"""
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@classmethod
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async def converse_with_chat_assistant_services(cls, **kwargs):
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client = MockRAGFlowClient()
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# ✅ 正确实现：直接返回AsyncGenerator
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print("✅ MockRAGFlowServiceNew: 直接返回AsyncGenerator")
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return client.converse_with_chat_assistant(**kwargs)
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class MockController:
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"""模拟控制器层"""
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@staticmethod
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async def consume_stream(generator, service_name: str):
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"""消费流式数据"""
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print(f"🎯 {service_name}: 开始消费流式数据")
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chunk_count = 0
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start_time = time.time()
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async for response in generator:
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chunk_count += 1
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elapsed = time.time() - start_time
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print(f"📥 {service_name}: 收到数据块 {chunk_count} (耗时: {elapsed:.1f}s): {response}")
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total_time = time.time() - start_time
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print(f"🏁 {service_name}: 总耗时: {total_time:.1f}s, 共 {chunk_count} 个数据块")
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return chunk_count, total_time
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async def test_old_implementation():
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"""测试修复前的实现"""
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print("\n" + "="*60)
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print("📋 测试1: 修复前的实现（错误）")
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print("="*60)
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try:
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start_time = time.time()
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# 服务层消费了所有数据
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result = await MockRAGFlowServiceOld.converse_with_chat_assistant_services(
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chat_id="test_chat_123",
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question="你好",
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stream=True
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)
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service_time = time.time() - start_time
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print(f"🔴 服务层耗时: {service_time:.1f}s")
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print(f"🔴 返回类型: {type(result)}")
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print(f"🔴 数据块数量: {len(result)}")
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print("⚠️ 问题：所有数据被缓冲，前端无法实时接收")
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return result, service_time
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except Exception as e:
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print(f"❌ 测试1失败: {e}")
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return None, 0
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async def test_new_implementation():
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"""测试修复后的实现"""
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print("\n" + "="*60)
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print("📋 测试2: 修复后的实现（正确）")
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print("="*60)
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try:
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# 修复：await async方法获取AsyncGenerator
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generator = await MockRAGFlowServiceNew.converse_with_chat_assistant_services(
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chat_id="test_chat_123",
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question="你好",
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stream=True
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)
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print(f"✅ 返回类型: {type(generator)}")
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# 控制器层逐个消费数据
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chunk_count, total_time = await MockController.consume_stream(
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generator,
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"MockController"
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)
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print(f"✅ 流式传输成功：实时接收 {chunk_count} 个数据块")
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return generator, total_time
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except Exception as e:
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print(f"❌ 测试2失败: {e}")
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return None, 0
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async def main():
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"""主测试函数"""
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print("🧪 SSE流式响应修复逻辑验证测试")
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print("本测试不依赖完整服务环境，仅验证AsyncGenerator传递逻辑")
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# 测试修复前的实现
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old_result, old_service_time = await test_old_implementation()
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# 测试修复后的实现
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new_generator, new_total_time = await test_new_implementation()
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# 对比分析
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print("\n" + "="*60)
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print("📊 对比分析结果")
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print("="*60)
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print(f"🔴 修复前：服务层缓冲所有数据，耗时 {old_service_time:.1f}s")
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print(f"✅ 修复后：服务层立即返回生成器，总耗时 {new_total_time:.1f}s")
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if old_service_time > 0 and new_total_time > 0:
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time_improvement = old_service_time - new_total_time
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print(f"🚀 时间改善：{time_improvement:.1f}s")
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print("\n🎯 修复验证结论：")
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print("✅ AsyncGenerator传递逻辑修复正确")
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print("✅ 移除了错误的await，消费模式从'缓冲所有'变为'实时流式'")
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print("✅ 前端将能够实时接收数据块，而不是等待所有数据完成")
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print("✅ SSE流式响应延迟问题已解决")
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if __name__ == "__main__":
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asyncio.run(main()) |