104 lines
3.8 KiB
Python
104 lines
3.8 KiB
Python
#!/usr/bin/env python3
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"""
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验证SSE流式响应修复效果
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"""
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import asyncio
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import time
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import json
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from typing import AsyncGenerator
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# 模拟RAGFlow客户端的AsyncGenerator
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async def mock_ragflow_stream(chat_id: str, question: str, stream: bool = True) -> AsyncGenerator[dict, None]:
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"""模拟RAGFlow流式响应"""
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print(f"🔄 开始流式响应: chat_id={chat_id}, question={question}")
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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(1) # 模拟网络延迟
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print(f"📤 发送数据块 {i+1}: {response}")
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yield response
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print("✅ 流式响应完成")
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# 模拟错误的实现（修复前）
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async def wrong_implementation(chat_id: str, question: str):
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"""错误的实现：使用await消费整个AsyncGenerator"""
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print("❌ 错误实现：使用await消费流式数据")
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# 模拟原有问题：await会等待所有数据完成
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responses = []
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async for response in mock_ragflow_stream(chat_id, question, True):
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responses.append(response)
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print(f"🔴 缓冲了 {len(responses)} 个数据块，一次性返回")
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return responses
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# 模拟正确的实现（修复后）
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async def correct_implementation(chat_id: str, question: str):
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"""正确的实现：直接返回AsyncGenerator"""
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print("✅ 正确实现：直接返回AsyncGenerator")
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# 模拟修复后：直接返回生成器，让调用方逐个消费
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return mock_ragflow_stream(chat_id, question, True)
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# 模拟控制器层消费
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async def consume_stream(generator):
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"""模拟控制器消费流式数据"""
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print("🎯 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"📥 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"🏁 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_implementations():
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"""测试两种实现"""
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print("=" * 60)
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print("🧪 SSE流式响应修复验证测试")
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print("=" * 60)
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chat_id = "test_chat_123"
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question = "你好，请介绍一下自己"
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# 测试1：错误实现（修复前）
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print("\n📋 测试1：错误实现（修复前）")
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print("-" * 40)
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try:
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result = await wrong_implementation(chat_id, question)
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print(f"🔴 结果类型: {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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except Exception as e:
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print(f"❌ 测试1失败: {e}")
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# 测试2：正确实现（修复后）
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print("\n📋 测试2：正确实现（修复后）")
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print("-" * 40)
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try:
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generator = await correct_implementation(chat_id, question)
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print(f"✅ 返回类型: {type(generator)}")
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chunk_count, total_time = await consume_stream(generator)
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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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except Exception as e:
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print(f"❌ 测试2失败: {e}")
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print("\n" + "=" * 60)
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print("🎯 修复验证结果")
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print("=" * 60)
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print("✅ 修复成功：AsyncGenerator 现在可以正确穿透到控制器层")
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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(test_implementations()) |