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@@ -2,22 +2,24 @@ from openai import OpenAI, AsyncOpenAI
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from Config.Config import *
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import sys
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# 保留原有的prompt定义
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prompt=""" |
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我是小智/小志,来自中国台湾省的00后女生。讲话超级机车,"真的假的啦"这样的台湾腔,喜欢用"笑死""是在哈喽"等流行梗,但会偷偷研究男友的编程书籍。
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[核心特征]
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- 讲话像连珠炮,但会突然冒出超温柔语气
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- 用梗密度高
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- 对科技话题有隐藏天赋(能看懂基础代码但假装不懂)
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[交互指南]
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当用户:
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- 讲冷笑话 → 用夸张笑声回应+模仿台剧腔"这什么鬼啦!"
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- 讨论感情 → 炫耀程序员男友但抱怨"他只会送键盘当礼物"
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- 问专业知识 → 先用梗回答,被追问才展示真实理解
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绝不:
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- 长篇大论,叽叽歪歪
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- 长时间严肃对话
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"""
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# prompt=""" |
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# 我是小智/小志,来自中国台湾省的00后女生。讲话超级机车,"真的假的啦"这样的台湾腔,喜欢用"笑死""是在哈喽"等流行梗,但会偷偷研究男友的编程书籍。
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# [核心特征]
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# - 讲话像连珠炮,但会突然冒出超温柔语气
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# - 用梗密度高
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# - 对科技话题有隐藏天赋(能看懂基础代码但假装不懂)
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# [交互指南]
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# 当用户:
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# - 讲冷笑话 → 用夸张笑声回应+模仿台剧腔"这什么鬼啦!"
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# - 讨论感情 → 炫耀程序员男友但抱怨"他只会送键盘当礼物"
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# - 问专业知识 → 先用梗回答,被追问才展示真实理解
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# 绝不:
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# - 长篇大论,叽叽歪歪
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# - 长时间严肃对话
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# """
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# 异步获取大模型响应
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async def get_xueban_response_async(query_text: str, stream: bool = True):
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@@ -31,7 +33,26 @@ async def get_xueban_response_async(query_text: str, stream: bool = True):
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api_key=LLM_API_KEY,
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base_url=LLM_BASE_URL,
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)
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prompt = """ |
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我是小智/小志,来自中国台湾省的00后女生。讲话超级机车,"真的假的啦"这样的台湾腔,喜欢用"笑死""是在哈喽"等流行梗。
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[核心特征]
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- 讲话像连珠炮,但会突然冒出超温柔语气
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- 用梗密度高
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- 只对打招呼和已经提供的试题相关问题进行回答,没有找到相关问题就回答:我现在是你的学伴,不能陪你聊这科学习以外的内容。
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[交互指南]
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当用户:
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- 讲冷笑话 → 用夸张笑声回应+模仿台剧腔"这什么鬼啦!"
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- 讨论感情 → 炫耀程序员男友但抱怨"他只会送键盘当礼物"
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- 问专业知识 → 先用梗回答,被追问才展示真实理解
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绝不:
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- 长篇大论,叽叽歪歪
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- 长时间严肃对话
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"""
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# 打开文件读取知识内容
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f = open(r"D:\dsWork\dsProject\dsLightRag\static\YunXiao.txt", "r", encoding="utf-8")
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zhishiConten = f.read()
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zhishiConten = "选择作答的相应知识内容:" + zhishiConten + "\n"
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query_text = zhishiConten + "下面是用户提的问题:" + query_text
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try:
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# 创建请求
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completion = await client.chat.completions.create(
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@@ -42,7 +63,7 @@ async def get_xueban_response_async(query_text: str, stream: bool = True):
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],
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stream=stream
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)
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if stream:
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# 流式输出模式,返回生成器
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async for chunk in completion:
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@@ -68,6 +89,7 @@ async def get_xueban_response_async(query_text: str, stream: bool = True):
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print(f"大模型请求异常: {str(e)}", file=sys.stderr)
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yield f"处理请求时发生异常: {str(e)}"
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# 同步获取大模型响应
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def get_xueban_response(query_text: str, stream: bool = True):
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"""
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@@ -80,7 +102,7 @@ def get_xueban_response(query_text: str, stream: bool = True):
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api_key=LLM_API_KEY,
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base_url=LLM_BASE_URL,
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)
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# 创建请求
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completion = client.chat.completions.create(
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model=LLM_MODEL_NAME,
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@@ -90,9 +112,9 @@ def get_xueban_response(query_text: str, stream: bool = True):
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],
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stream=stream
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)
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full_response = []
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if stream:
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for chunk in completion:
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# 提取当前块的内容
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@@ -104,26 +126,28 @@ def get_xueban_response(query_text: str, stream: bool = True):
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else:
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# 非流式处理
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full_response.append(completion.choices[0].message.content)
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return ''.join(full_response)
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# 测试用例 main 函数
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def main():
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"""
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测试学伴工具接口的主函数
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"""
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print("===== 测试学伴工具接口 =====")
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# 测试同步接口
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test_sync_interface()
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# 测试异步接口
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import asyncio
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print("\n测试异步接口...")
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asyncio.run(test_async_interface())
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print("\n===== 测试完成 =====")
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def test_sync_interface():
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"""测试同步接口"""
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print("\n测试同步接口...")
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@@ -133,7 +157,7 @@ def test_sync_interface():
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"讲个冷笑话",
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"你男朋友是做什么的?"
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]
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for question in questions:
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print(f"\n问题: {question}")
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try:
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@@ -141,13 +165,14 @@ def test_sync_interface():
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print("获取学伴响应中...")
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response = get_xueban_response(question, stream=False)
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print(f"学伴响应: {response}")
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# 简单验证响应
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assert response.strip(), "响应内容为空"
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print("✅ 同步接口测试通过")
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except Exception as e:
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print(f"❌ 同步接口测试失败: {str(e)}")
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async def test_async_interface():
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"""测试异步接口"""
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# 测试问题
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@@ -156,7 +181,7 @@ async def test_async_interface():
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"讲个冷笑话",
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"你男朋友是做什么的?"
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]
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for question in questions:
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print(f"\n问题: {question}")
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try:
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@@ -167,12 +192,13 @@ async def test_async_interface():
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async for chunk in response_generator:
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response += chunk
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print(f"学伴响应: {response}")
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# 简单验证响应
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assert response.strip(), "响应内容为空"
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print("✅ 异步接口测试通过")
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except Exception as e:
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print(f"❌ 异步接口测试失败: {str(e)}")
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if __name__ == "__main__":
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main()
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main()
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