refactor: 基于fastapi0.115.0版本新特性,直接使用pydantic模型接收查询参数和表单数据,移除as_query和as_form使用方式

This commit is contained in:
insistence
2024-09-29 09:43:38 +08:00
parent 8a964bf3f5
commit 5a04889f84
22 changed files with 40 additions and 81 deletions

View File

@@ -1,5 +1,5 @@
from datetime import datetime
from fastapi import APIRouter, Depends, Request
from fastapi import APIRouter, Depends, Form, Query, Request
from pydantic_validation_decorator import ValidateFields
from sqlalchemy.ext.asyncio import AsyncSession
from typing import List
@@ -32,7 +32,7 @@ dictController = APIRouter(prefix='/system/dict', dependencies=[Depends(LoginSer
)
async def get_system_dict_type_list(
request: Request,
dict_type_page_query: DictTypePageQueryModel = Depends(DictTypePageQueryModel.as_query),
dict_type_page_query: DictTypePageQueryModel = Query(),
query_db: AsyncSession = Depends(get_db),
):
# 获取分页数据
@@ -123,7 +123,7 @@ async def query_detail_system_dict_type(request: Request, dict_id: int, query_db
@Log(title='字典类型', business_type=BusinessType.EXPORT)
async def export_system_dict_type_list(
request: Request,
dict_type_page_query: DictTypePageQueryModel = Depends(DictTypePageQueryModel.as_form),
dict_type_page_query: DictTypePageQueryModel = Form(),
query_db: AsyncSession = Depends(get_db),
):
# 获取全量数据
@@ -152,7 +152,7 @@ async def query_system_dict_type_data(request: Request, dict_type: str, query_db
)
async def get_system_dict_data_list(
request: Request,
dict_data_page_query: DictDataPageQueryModel = Depends(DictDataPageQueryModel.as_query),
dict_data_page_query: DictDataPageQueryModel = Query(),
query_db: AsyncSession = Depends(get_db),
):
# 获取分页数据
@@ -226,7 +226,7 @@ async def query_detail_system_dict_data(request: Request, dict_code: int, query_
@Log(title='字典数据', business_type=BusinessType.EXPORT)
async def export_system_dict_data_list(
request: Request,
dict_data_page_query: DictDataPageQueryModel = Depends(DictDataPageQueryModel.as_form),
dict_data_page_query: DictDataPageQueryModel = Form(),
query_db: AsyncSession = Depends(get_db),
):
# 获取全量数据