312 lines
11 KiB
Python
312 lines
11 KiB
Python
# -*- coding: utf-8 -*-
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import io
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from typing import Any
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from fastapi import UploadFile
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import pandas as pd
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from app.core.base_schema import BatchSetAvailable
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from app.core.exceptions import CustomException
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from app.utils.excel_util import ExcelUtil
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from app.core.logger import log
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from app.api.v1.module_system.auth.schema import AuthSchema
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from .schema import DemoCreateSchema, DemoUpdateSchema, DemoOutSchema, DemoQueryParam
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from .crud import DemoCRUD
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class DemoService:
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"""
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示例管理模块服务层
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"""
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@classmethod
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async def detail_service(cls, auth: AuthSchema, id: int) -> dict:
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"""
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详情
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参数:
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- auth (AuthSchema): 认证信息模型
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- id (int): 示例ID
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返回:
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- dict: 示例模型实例字典
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"""
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obj = await DemoCRUD(auth).get_by_id_crud(id=id)
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if not obj:
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raise CustomException(msg="该数据不存在")
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return DemoOutSchema.model_validate(obj).model_dump()
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@classmethod
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async def list_service(cls, auth: AuthSchema, search: DemoQueryParam | None = None, order_by: list[dict[str, str]] | None = None) -> list[dict]:
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"""
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列表查询
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参数:
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- auth (AuthSchema): 认证信息模型
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- search (DemoQueryParam | None): 查询参数
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- order_by (list[dict[str, str]] | None): 排序参数
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返回:
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- list[dict]: 示例模型实例字典列表
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"""
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search_dict = search.__dict__ if search else None
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obj_list = await DemoCRUD(auth).list_crud(search=search_dict, order_by=order_by)
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return [DemoOutSchema.model_validate(obj).model_dump() for obj in obj_list]
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@classmethod
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async def page_service(cls, auth: AuthSchema, page_no: int, page_size: int, search: DemoQueryParam | None = None, order_by: list[dict[str, str]] | None = None) -> dict:
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"""
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分页查询
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参数:
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- auth (AuthSchema): 认证信息模型
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- page_no (int): 页码
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- page_size (int): 每页数量
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- search (DemoQueryParam | None): 查询参数
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- order_by (list[dict[str, str]] | None): 排序参数
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返回:
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- dict: 分页数据
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"""
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search_dict = search.__dict__ if search else {}
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order_by_list = order_by or [{'id': 'asc'}]
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offset = (page_no - 1) * page_size
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result = await DemoCRUD(auth).page_crud(
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offset=offset,
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limit=page_size,
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order_by=order_by_list,
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search=search_dict
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)
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return result
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@classmethod
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async def create_service(cls, auth: AuthSchema, data: DemoCreateSchema) -> dict:
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"""
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创建
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参数:
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- auth (AuthSchema): 认证信息模型
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- data (DemoCreateSchema): 示例创建模型
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返回:
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- dict: 示例模型实例字典
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"""
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obj = await DemoCRUD(auth).get(name=data.name)
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if obj:
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raise CustomException(msg='创建失败，名称已存在')
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obj = await DemoCRUD(auth).create_crud(data=data)
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return DemoOutSchema.model_validate(obj).model_dump()
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@classmethod
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async def update_service(cls, auth: AuthSchema, id: int, data: DemoUpdateSchema) -> dict:
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"""
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更新
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参数:
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- auth (AuthSchema): 认证信息模型
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- id (int): 示例ID
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- data (DemoUpdateSchema): 示例更新模型
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返回:
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- dict: 示例模型实例字典
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"""
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# 检查数据是否存在
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obj = await DemoCRUD(auth).get_by_id_crud(id=id)
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if not obj:
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raise CustomException(msg='更新失败，该数据不存在')
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# 检查名称是否重复
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exist_obj = await DemoCRUD(auth).get(name=data.name)
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if exist_obj and exist_obj.id != id:
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raise CustomException(msg='更新失败，名称重复')
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obj = await DemoCRUD(auth).update_crud(id=id, data=data)
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return DemoOutSchema.model_validate(obj).model_dump()
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@classmethod
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async def delete_service(cls, auth: AuthSchema, ids: list[int]) -> None:
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"""
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删除
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参数:
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- auth (AuthSchema): 认证信息模型
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- ids (list[int]): 示例ID列表
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返回:
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- None
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"""
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if len(ids) < 1:
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raise CustomException(msg='删除失败，删除对象不能为空')
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# 检查所有要删除的数据是否存在
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for id in ids:
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obj = await DemoCRUD(auth).get_by_id_crud(id=id)
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if not obj:
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raise CustomException(msg=f'删除失败，ID为{id}的数据不存在')
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await DemoCRUD(auth).delete_crud(ids=ids)
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@classmethod
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async def set_available_service(cls, auth: AuthSchema, data: BatchSetAvailable) -> None:
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"""
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批量设置状态
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参数:
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- auth (AuthSchema): 认证信息模型
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- data (BatchSetAvailable): 批量设置状态模型
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返回:
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- None
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"""
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await DemoCRUD(auth).set_available_crud(ids=data.ids, status=data.status)
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@classmethod
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async def batch_export_service(cls, obj_list: list[dict[str, Any]]) -> bytes:
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"""
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批量导出
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参数:
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- obj_list (list[dict[str, Any]]): 示例模型实例字典列表
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返回:
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- bytes: Excel文件字节流
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"""
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mapping_dict = {
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'id': '编号',
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'name': '名称',
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'status': '状态',
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'description': '备注',
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'created_time': '创建时间',
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'updated_time': '更新时间',
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'created_id': '创建者',
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}
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# 复制数据并转换状态
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data = obj_list.copy()
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for item in data:
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# 处理状态
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item['status'] = '启用' if item.get('status') == '0' else '停用'
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# 处理创建者
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creator_info = item.get('created_id')
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if isinstance(creator_info, dict):
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item['created_id'] = creator_info.get('name', '未知')
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else:
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item['created_id'] = '未知'
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return ExcelUtil.export_list2excel(list_data=data, mapping_dict=mapping_dict)
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@classmethod
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async def batch_import_service(cls, auth: AuthSchema, file: UploadFile, update_support: bool = False) -> str:
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"""
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批量导入
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参数:
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- auth (AuthSchema): 认证信息模型
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- file (UploadFile): 上传的Excel文件
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- update_support (bool): 是否支持更新存在数据
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返回:
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- str: 导入结果信息
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"""
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header_dict = {
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'名称': 'name',
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'状态': 'status',
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'描述': 'description'
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}
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try:
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# 读取Excel文件
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contents = await file.read()
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df = pd.read_excel(io.BytesIO(contents))
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await file.close()
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if df.empty:
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raise CustomException(msg="导入文件为空")
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# 检查表头是否完整
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missing_headers = [header for header in header_dict.keys() if header not in df.columns]
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if missing_headers:
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raise CustomException(msg=f"导入文件缺少必要的列: {', '.join(missing_headers)}")
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# 重命名列名
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df.rename(columns=header_dict, inplace=True)
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# 验证必填字段
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required_fields = ['name', 'status']
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errors = []
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for field in required_fields:
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missing_rows = df[df[field].isnull()].index.tolist()
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if missing_rows:
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field_name = [k for k,v in header_dict.items() if v == field][0]
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rows_str = "、".join([str(i+1) for i in missing_rows])
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errors.append(f"{field_name}不能为空，第{rows_str}行")
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if errors:
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raise CustomException(msg=f"导入失败，以下行缺少必要字段：\n{'; '.join(errors)}")
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error_msgs = []
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success_count = 0
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count = 0
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# 处理每一行数据
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for index, row in df.iterrows():
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count += 1
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try:
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# 数据转换前的类型检查
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try:
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status = True if row['status'] == '正常' else False
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except ValueError:
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error_msgs.append(f"第{count}行: 状态必须是'正常'或'停用'")
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continue
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# 构建用户数据
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data = {
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"name": str(row['name']),
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"status": status,
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"description": str(row['description']),
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}
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# 处理用户导入
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exists_obj = await DemoCRUD(auth).get(name=data["name"])
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if exists_obj:
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if update_support:
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await DemoCRUD(auth).update(id=exists_obj.id, data=data)
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success_count += 1
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else:
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error_msgs.append(f"第{count}行: 对象 {data['name']} 已存在")
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else:
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await DemoCRUD(auth).create(data=data)
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success_count += 1
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except Exception as e:
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error_msgs.append(f"第{count}行: {str(e)}")
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continue
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# 返回详细的导入结果
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result = f"成功导入 {success_count} 条数据"
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if error_msgs:
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result += "\n错误信息:\n" + "\n".join(error_msgs)
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return result
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except Exception as e:
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log.error(f"批量导入用户失败: {str(e)}")
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raise CustomException(msg=f"导入失败: {str(e)}")
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@classmethod
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async def import_template_download_service(cls) -> bytes:
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"""
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下载导入模板
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返回:
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- bytes: Excel文件字节流
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"""
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header_list = ['名称', '状态', '描述']
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selector_header_list = ['状态']
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option_list = [{'状态': ['正常', '停用']}]
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return ExcelUtil.get_excel_template(
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header_list=header_list,
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selector_header_list=selector_header_list,
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option_list=option_list
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) |