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FastapiAdmin/backend/app/api/v1/module_example/demo/service.py
T
zhangtao 019bfdf57b refactor(myapp): 重命名查询参数类以统一命名风格
- 将 ApplicationQueryParams 改为 ApplicationQueryParam
- 同步更新相关导入和函数参数类型注解
- 修改 PaginationQueryParams 为 PaginationQueryParam

refactor(demo): 重命名查询参数类以统一命名风格

- 将 DemoQueryParams 改为 DemoQueryParam
- 同步更新相关导入和函数参数类型注解
- 修改 PaginationQueryParams 为 PaginationQueryParam

refactor(gencode): 优化代码生成模块的模型和服务层结构

- 统一模型名称后缀为 Schema,调整相关引用
- 规范 Pydantic schema 的命名和定义
- 删除无用的 Python DAO 模板文件
- 调整导入路径,统一使用 app 目录下的模块路径
- 改进服务层方法签名,添加返回类型注解
- 使用自定义异常 CustomException 替代旧异常
- 统一成功响应格式为 SuccessResponse
- 优化代码生成服务中的数据库操作 DAO 调用参数传递
- 优化代码生成业务表和字段模型的字段定义,添加注释和默认值
- 优化生成代码路径处理逻辑和异常信息提示
- 整合分页查询参数定义,统一分页模型
- 修正多个服务方法的参数类型和返回类型
- 删除无用的导入和多余注释,提升代码整洁度
2025-09-18 01:51:41 +08:00

193 lines
7.7 KiB
Python

# -*- coding: utf-8 -*-
import io
from typing import Any, List, Dict
from fastapi import UploadFile
import pandas as pd
from app.core.base_schema import BatchSetAvailable
from app.core.exceptions import CustomException
from app.utils.excel_util import ExcelUtil
from app.common.response import ErrorResponse
from app.core.logger import logger
from app.api.v1.module_system.auth.schema import AuthSchema
from .schema import DemoCreateSchema, DemoUpdateSchema, DemoOutSchema
from .param import DemoQueryParam
from .crud import DemoCRUD
class DemoService:
"""
示例管理模块服务层
"""
@classmethod
async def get_demo_detail_service(cls, auth: AuthSchema, id: int) -> Dict:
"""详情"""
obj = await DemoCRUD(auth).get_by_id_crud(id=id)
return DemoOutSchema.model_validate(obj).model_dump()
@classmethod
async def get_demo_list_service(cls, auth: AuthSchema, search: DemoQueryParam = None, order_by: List[Dict[str, str]] = None) -> List[Dict]:
"""列表查询"""
if order_by:
order_by = eval(order_by)
obj_list = await DemoCRUD(auth).get_list_crud(search=search.__dict__, order_by=order_by)
return [DemoOutSchema.model_validate(obj).model_dump() for obj in obj_list]
@classmethod
async def create_demo_service(cls, auth: AuthSchema, data: DemoCreateSchema) -> Dict:
"""创建"""
obj = await DemoCRUD(auth).get(name=data.name)
if obj:
raise CustomException(msg='创建失败,名称已存在')
obj = await DemoCRUD(auth).create_crud(data=data)
return DemoOutSchema.model_validate(obj).model_dump()
@classmethod
async def update_demo_service(cls, auth: AuthSchema, id:int, data: DemoUpdateSchema) -> Dict:
"""更新"""
obj = await DemoCRUD(auth).get_by_id_crud(id=id)
if not obj:
raise CustomException(msg='更新失败,该数据不存在')
exist_obj = await DemoCRUD(auth).get(name=data.name)
if exist_obj and exist_obj.id != data.id:
raise CustomException(msg='更新失败,名称重复')
obj = await DemoCRUD(auth).update_crud(id=id, data=data)
return DemoOutSchema.model_validate(obj).model_dump()
@classmethod
async def delete_demo_service(cls, auth: AuthSchema, ids: list[int]) -> None:
"""删除"""
if len(ids) < 1:
raise CustomException(msg='删除失败,删除对象不能为空')
for id in ids:
obj = await DemoCRUD(auth).get_by_id_crud(id=id)
if not obj:
raise CustomException(msg='删除失败,该数据不存在')
await DemoCRUD(auth).delete_crud(ids=ids)
@classmethod
async def set_demo_available_service(cls, auth: AuthSchema, data: BatchSetAvailable) -> None:
"""批量设置状态"""
await DemoCRUD(auth).set_available_crud(ids=data.ids, status=data.status)
@classmethod
async def batch_export_service(cls, obj_list: List[Dict[str, Any]]) -> bytes:
"""批量导出"""
mapping_dict = {
'id': '编号',
'name': '名称',
'status': '状态',
'description': '备注',
'created_at': '创建时间',
'updated_at': '更新时间',
'creator': '创建者',
}
# 复制数据并转换状态
data = obj_list.copy()
for item in data:
# 处理状态
item['status'] = '正常' if item.get('status') else '停用'
# 处理公告类型
item['creator'] = item.get('creator', {}).get('name', '未知') if isinstance(item.get('creator'), dict) else '未知'
return ExcelUtil.export_list2excel(list_data=obj_list, mapping_dict=mapping_dict)
@classmethod
async def batch_import_service(cls, auth: AuthSchema, file: UploadFile, update_support: bool = False) -> str:
"""批量导入"""
header_dict = {
'名称': 'name',
'状态': 'status',
'描述': 'description'
}
try:
# 读取Excel文件
contents = await file.read()
df = pd.read_excel(io.BytesIO(contents))
await file.close()
if df.empty:
raise CustomException(msg="导入文件为空")
# 检查表头是否完整
missing_headers = [header for header in header_dict.keys() if header not in df.columns]
if missing_headers:
raise CustomException(msg=f"导入文件缺少必要的列: {', '.join(missing_headers)}")
# 重命名列名
df.rename(columns=header_dict, inplace=True)
# 验证必填字段
required_fields = ['name', 'status']
for field in required_fields:
if df[field].isnull().any():
missing_rows = df[df[field].isnull()].index.tolist()
raise CustomException(msg=f"{[k for k,v in header_dict.items() if v == field][0]}不能为空,第{[i+1 for i in missing_rows]}行")
error_msgs = []
success_count = 0
# 处理每一行数据
for index, row in df.iterrows():
try:
# 数据转换前的类型检查
try:
name = str(row['name'])
except ValueError:
error_msgs.append(f"第{index+1}行: 名称必须是字符串")
continue
try:
status = True if row['status'] == '正常' else False
except ValueError:
error_msgs.append(f"第{index+1}行: 状态必须是'正常'或'停用'")
continue
# 构建用户数据
data = {
"name": name,
"status": status,
"description": str(row['description']).strip() if not pd.isna(row['description']) else None,
}
# 处理用户导入
exists_user = await DemoCRUD(auth).get(name=data["name"])
if exists_user:
if update_support:
await DemoCRUD(auth).update(id=exists_user.id, data=data)
success_count += 1
else:
error_msgs.append(f"第{index+1}行: 用户 {data['username']} 已存在")
else:
await DemoCRUD(auth).create(data=data)
success_count += 1
except Exception as e:
error_msgs.append(f"第{index+1}行: {str(e)}")
continue
# 返回详细的导入结果
result = f"成功导入 {success_count} 条数据"
if error_msgs:
result += "\n错误信息:\n" + "\n".join(error_msgs)
return result
except Exception as e:
logger.error(f"批量导入用户失败: {str(e)}")
raise CustomException(msg=f"导入失败: {str(e)}")
@classmethod
async def import_template_download_service(cls) -> bytes:
"""下载导入模板"""
header_list = ['名称', '状态', '描述']
selector_header_list = ['状态']
option_list = [{'状态': ['正常', '停用']}]
return ExcelUtil.get_excel_template(
header_list=header_list,
selector_header_list=selector_header_list,
option_list=option_list
)