Files
SQLBot/backend/apps/mcp/mcp.py
T
2025-07-01 17:31:03 +08:00

71 lines
2.9 KiB
Python

# Author: Junjun
# Date: 2025/7/1
from typing import Annotated
from fastapi import APIRouter, Depends, HTTPException
from fastapi.security import OAuth2PasswordRequestForm
from common.core.deps import SessionDep, get_current_user
from apps.system.crud.user import authenticate
from common.core.security import create_access_token
from datetime import timedelta
from common.core.config import settings
from common.core.schemas import Token
from apps.datasource.crud.datasource import get_datasource_list
from apps.system.models.system_model import AiModelDetail
from apps.chat.models.chat_model import ChatMcp, CreateChat
from apps.chat.api.chat import create_chat, stream_sql
router = APIRouter(tags=["mcp"], prefix="/mcp")
@router.post("/access_token", operation_id="access_token")
def local_login(
session: SessionDep,
form_data: Annotated[OAuth2PasswordRequestForm, Depends()]
) -> Token:
user = authenticate(session=session, account=form_data.username, password=form_data.password)
if not user:
raise HTTPException(status_code=400, detail="Incorrect account or password")
access_token_expires = timedelta(minutes=settings.ACCESS_TOKEN_EXPIRE_MINUTES)
user_dict = user.to_dict()
return Token(access_token=create_access_token(
user_dict, expires_delta=access_token_expires
))
@router.get("/ds_list", operation_id="get_datasource_list")
async def datasource_list(session: SessionDep):
return get_datasource_list(session=session)
@router.get("/model_list", operation_id="get_model_list")
async def get_model_list(session: SessionDep):
return session.query(AiModelDetail).all()
@router.post("/mcp_start", operation_id="mcp_start")
async def mcp_start(session: SessionDep, chat: ChatMcp):
user = await get_current_user(session, chat.token)
return create_chat(session, user, CreateChat(), False)
@router.post("/mcp_question", operation_id="mcp_question")
async def mcp_question(session: SessionDep, chat: ChatMcp):
user = await get_current_user(session, chat.token)
# return await stream_sql(session, user, chat)
return {"content": """这是一段写死的测试内容:
步骤1: 确定需要查询的字段。
我们需要统计上海的订单总数,因此需要从"城市"字段中筛选出值为"上海"的记录,并使用COUNT函数计算这些记录的数量。
步骤2: 确定筛选条件。
问题要求统计上海的订单总数,所以我们需要在SQL语句中添加WHERE "城市" = '上海'来筛选出符合条件的记录。
步骤3: 避免关键字冲突。
因为这个Excel/CSV数据库是 PostgreSQL 类型,所以在schema、表名、字段名和别名外层加双引号。
最终答案:
```json
{"success":true,"sql":"SELECT COUNT(*) AS \"TotalOrders\" FROM \"public\".\"Sheet1_c27345b66e\" WHERE \"城市\" = '上海';"}
```
<img src="https://sqlbot.fit2cloud.cn/images/111.png">"""}