diff --git a/AI/AiService/Start.py b/AI/AiService/Start.py
index b0b783bf..f09fcb86 100644
--- a/AI/AiService/Start.py
+++ b/AI/AiService/Start.py
@@ -1,5 +1,6 @@
 import asyncio
 import socket
+import time
 
 import uvicorn
 from fastapi import FastAPI, Body
@@ -24,7 +25,7 @@ def convertMarkdownToJson(markdown_content: str, language: str):
     # 创建转换器实例
     converter = MarkdownToJsonConverter(client, language)
     # 转换 Markdown 为 JSON
-    for item in converter.convert_markdown_to_json(markdown_content,language):  # 使用普通 for 循环
+    for item in converter.convert_markdown_to_json(markdown_content, language):  # 使用普通 for 循环
         yield f"{item}\n"  # 每行数据后添加换行符
     # 添加结束标记
     yield '{"type": "end" }\n'  # 结束标记后也添加换行符
diff --git a/AI/AiService/__pycache__/MarkdownToJsonConverter.cpython-310.pyc b/AI/AiService/__pycache__/MarkdownToJsonConverter.cpython-310.pyc
index 5fae9c80..05740c20 100644
Binary files a/AI/AiService/__pycache__/MarkdownToJsonConverter.cpython-310.pyc and b/AI/AiService/__pycache__/MarkdownToJsonConverter.cpython-310.pyc differ
diff --git a/AI/Text2Sql/app.py b/AI/Text2Sql/app.py
index 28e50597..22e8cfb1 100644
--- a/AI/Text2Sql/app.py
+++ b/AI/Text2Sql/app.py
@@ -1,13 +1,17 @@
 import re
+from typing import io
 
+import pandas as pd
 from fastapi import FastAPI, HTTPException, Depends
 from pydantic import BaseModel
 from sqlalchemy import create_engine, Column, Integer, String, SmallInteger, Date
 from sqlalchemy.orm import declarative_base  # 更新导入路径
 from sqlalchemy.orm import sessionmaker, Session
 import uvicorn  # 导入 uvicorn
-from starlette.staticfiles import StaticFiles
+from starlette.responses import StreamingResponse
 
+from Text2Sql.Util.PostgreSQLUtil import PostgreSQLUtil
+from Text2Sql.Util.SaveToExcel import save_to_excel
 from Text2Sql.Util.VannaUtil import VannaUtil
 
 # 数据库连接配置
@@ -131,8 +135,9 @@ def delete_question(question_id: int, db: Session = Depends(get_db)):
     db.commit()
     return {"message": "Question deleted successfully"}
 
-@app.post("/questions/generate_sql")
-def generate_sql(question: str):
+# 通过语义生成Excel
+@app.post("/questions/getExcel")
+def getExcel(question: str):
     # 指定学段
     question = '''
                     查询:
@@ -146,12 +151,28 @@ def generate_sql(question: str):
         2、目标数据库是Postgresql 16
         '''
     question = question + common_prompt
-    # 开始查询
-    print("开始查询...")
     # 获取完整 SQL
     sql = vn.generate_sql(question)
     print("生成的查询 SQL:\n", sql)
-
+    # 执行SQL查询
+    with PostgreSQLUtil() as db:
+        _data = db.execute_query(sql)
+        # 将数据保存为Excel文件流
+        excel_stream = save_to_excel_stream(_data)
+        # 返回Excel文件流
+        return StreamingResponse(
+            excel_stream,
+            media_type="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
+            headers={"Content-Disposition": "attachment; filename=导出信息.xlsx"}
+        )
+def save_to_excel_stream(data):
+    # 将数据保存为Excel文件流
+    df = pd.DataFrame(data)
+    output = io.BytesIO()
+    with pd.ExcelWriter(output, engine='openpyxl') as writer:
+        df.to_excel(writer, index=False)
+    output.seek(0)  # 将指针移动到流的开头
+    return output
 # 添加 main 函数
 def main():
     # 开始训练