feat: mcp server

This commit is contained in:
junjun
2025-07-01 17:31:03 +08:00
parent 029a3895db
commit 7f641f98c0
8 changed files with 88 additions and 43 deletions
+8 -3
View File
@@ -1,10 +1,11 @@
from fastapi import APIRouter
from apps.system.api import login, user, aimodel
from apps.settings.api import terminology
from apps.datasource.api import datasource
from apps.chat.api import chat
from apps.dashboard.api import dashboard_api
from apps.datasource.api import datasource
from apps.settings.api import terminology
from apps.system.api import login, user, aimodel
from apps.mcp import mcp
api_router = APIRouter()
api_router.include_router(login.router)
@@ -12,5 +13,9 @@ api_router.include_router(user.router)
api_router.include_router(aimodel.router)
api_router.include_router(terminology.router)
api_router.include_router(datasource.router)
# api_router.include_router(row_permission.router)
# api_router.include_router(column_permission.router)
api_router.include_router(chat.router)
api_router.include_router(dashboard_api.router)
api_router.include_router(mcp.router)
+1 -29
View File
@@ -57,34 +57,6 @@ async def delete(session: SessionDep, chart_id: int):
)
@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">"""}
@router.post("/start")
async def start_chat(session: SessionDep, current_user: CurrentUser, create_chat_obj: CreateChat):
try:
@@ -96,7 +68,7 @@ async def start_chat(session: SessionDep, current_user: CurrentUser, create_chat
)
@router.post("/question", operation_id="question")
@router.post("/question")
async def stream_sql(session: SessionDep, current_user: CurrentUser, request_question: ChatQuestion):
"""Stream SQL analysis results
+1 -1
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@@ -18,7 +18,7 @@ router = APIRouter(tags=["datasource"], prefix="/datasource")
path = "/opt/sqlbot/data/excel"
@router.get("/list", operation_id="get_datasource_list")
@router.get("/list")
async def datasource_list(session: SessionDep):
return get_datasource_list(session=session)
+2
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@@ -0,0 +1,2 @@
# Author: Junjun
# Date: 2025/7/1
+71
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@@ -0,0 +1,71 @@
# 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">"""}
-5
View File
@@ -88,8 +88,3 @@ async def status(session: SessionDep, dto: model_status):
session.add(term)
session.commit()
return {"message": f"AiModel with IDs {ids} updated successfully."}
@router.get("/list", operation_id="get_model_list")
async def get_model_list(session: SessionDep):
return session.query(AiModelDetail).all()
+4 -4
View File
@@ -23,10 +23,10 @@ wlist = [
"*.otf",
"/mcp",
"/mcp/message",
"/datasource/list",
"/system/aimodel/list",
"/chat/mcp_question",
"/chat/mcp_start",
"/mcp/ds_list",
"/mcp/model_list",
"/mcp/mcp_question",
"/mcp/mcp_start",
"/system/license",
"/system/config/key",
"/images/*"
+1 -1
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@@ -51,7 +51,7 @@ mcp = FastApiMCP(
description="SQLBot MCP Server",
describe_all_responses=True,
describe_full_response_schema=True,
include_operations=["get_datasource_list", "get_model_list", "mcp_question", "mcp_start"]
include_operations=["get_datasource_list", "get_model_list", "mcp_question", "mcp_start", "access_token"]
)
mcp.mount(mcp_app)