# -*- 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 DemoQueryParams 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: DemoQueryParams = 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 )