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refactor(api): 重构API路由及模块结构，清理废弃模型代码
- 修改alembic配置以使用异步数据库URI和更新Base类引用 - 新增数据库Schema优化脚本，统一字段长度，添加索引，规范外键策略 - 重构API路由管理，按模块类型分组并统一前缀 - 删除示例、监控及系统各子模块的模型定义，减少冗余代码 - 将mcp_server相关代码迁移到module_ai模块下，规范模块目录结构 - 迁移example控制器至module_application.application模块，并重命名相关服务和参数名 - 优化示例控制器中的依赖和响应结构，统一命名规范
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zhangtao
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# -*- coding: utf-8 -*-
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# -*- coding:utf-8 -*-
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import datetime
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from sqlalchemy import Boolean, Column, ForeignKey, String, Integer, Text, DateTime
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from app.core.base_model import BaseMixin
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class SysTable(BaseMixin):
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__tablename__ = "gen_table"
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id = Column(Integer, primary_key=True, autoincrement=True)
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create_time = Column(DateTime, nullable=False, default=datetime.datetime.now, comment='创建时间')
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update_time = Column(DateTime, nullable=False, default=datetime.datetime.now, onupdate=datetime.datetime.now, index=True, comment='更新时间')
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del_flag = Column(String(1), nullable=False, default='0', server_default=text("'0'"), comment='删除标志（0代表存在 2代表删除）')
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align = Column(String(255), nullable=False, default='left', comment='对其方式')
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field_name = Column(String(255), nullable=False, comment='字段名')
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fixed = Column(String(1), nullable=False, default='0', comment='固定表头')
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label = Column(String(255), nullable=False, comment='字段标签')
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label_tip = Column(String(255), comment='字段标签解释')
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prop = Column(String(255), nullable=False, comment='驼峰属性')
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show = Column(String(1), nullable=False, default='1', comment='可见')
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sortable = Column(String(1), nullable=False, default='0', comment='可排序')
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table_name = Column(String(255), nullable=False, comment='表名')
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tooltip = Column(String(1), nullable=False, default='1', comment='超出隐藏')
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update_by = Column(Integer, comment='更新者')
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update_by_name = Column(String(255), comment='更新者')
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width = Column(Integer, nullable=False, default=150, comment='宽度')
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sequence = Column(Integer, nullable=False, default=0, comment='字段顺序')
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# -*- coding:utf-8 -*-
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import datetime
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from sqlalchemy import Boolean, Column, ForeignKey, String, Integer, Text, DateTime
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from app.core.base_model import BaseMixin
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class SysTable(BaseMixin):
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__tablename__ = "gen_table"
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id = Column(Integer, primary_key=True, autoincrement=True)
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create_time = Column(DateTime, nullable=False, default=datetime.datetime.now, comment='创建时间')
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update_time = Column(DateTime, nullable=False, default=datetime.datetime.now, onupdate=datetime.datetime.now, index=True, comment='更新时间')
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del_flag = Column(String(1), nullable=False, default='0', server_default=text("'0'"), comment='删除标志（0代表存在 2代表删除）')
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align = Column(String(255), nullable=False, default='left', comment='对其方式')
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field_name = Column(String(255), nullable=False, comment='字段名')
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fixed = Column(String(1), nullable=False, default='0', comment='固定表头')
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label = Column(String(255), nullable=False, comment='字段标签')
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label_tip = Column(String(255), comment='字段标签解释')
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prop = Column(String(255), nullable=False, comment='驼峰属性')
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show = Column(String(1), nullable=False, default='1', comment='可见')
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sortable = Column(String(1), nullable=False, default='0', comment='可排序')
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table_name = Column(String(255), nullable=False, comment='表名')
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tooltip = Column(String(1), nullable=False, default='1', comment='超出隐藏')
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update_by = Column(Integer, comment='更新者')
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update_by_name = Column(String(255), comment='更新者')
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width = Column(Integer, nullable=False, default=150, comment='宽度')
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sequence = Column(Integer, nullable=False, default=0, comment='字段顺序')
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# -*- coding: utf-8 -*-
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import io
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from typing import Any, List, Dict
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from fastapi import UploadFile
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import pandas as pd
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from app.api.v1.schemas.system.auth_schema import AuthSchema
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from app.api.v1.schemas.demo.example_schema import ExampleCreateSchema, ExampleUpdateSchema, ExampleOutSchema
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from app.core.base_schema import BatchSetAvailable
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from app.api.v1.params.demo.example_param import ExampleQueryParams
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from app.api.v1.cruds.demo.example_crud import ExampleCRUD
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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 logger
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class ExampleService:
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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 get_example_detail_service(cls, auth: AuthSchema, id: int) -> Dict:
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"""详情"""
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obj = await ExampleCRUD(auth).get_by_id_crud(id=id)
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return ExampleOutSchema.model_validate(obj).model_dump()
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@classmethod
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async def get_example_list_service(cls, auth: AuthSchema, search: ExampleQueryParams = None, order_by: List[Dict[str, str]] = None) -> List[Dict]:
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"""列表查询"""
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if order_by:
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order_by = eval(order_by)
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obj_list = await ExampleCRUD(auth).get_list_crud(search=search.__dict__, order_by=order_by)
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return [ExampleOutSchema.model_validate(obj).model_dump() for obj in obj_list]
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@classmethod
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async def create_example_service(cls, auth: AuthSchema, data: ExampleCreateSchema) -> Dict:
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"""创建"""
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obj = await ExampleCRUD(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 ExampleCRUD(auth).create_crud(data=data)
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return ExampleOutSchema.model_validate(obj).model_dump()
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@classmethod
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async def update_example_service(cls, auth: AuthSchema, data: ExampleUpdateSchema) -> Dict:
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"""更新"""
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obj = await ExampleCRUD(auth).get_by_id_crud(id=data.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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exist_obj = await ExampleCRUD(auth).get(name=data.name)
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if exist_obj and exist_obj.id != data.id:
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raise CustomException(msg='更新失败，名称重复')
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obj = await ExampleCRUD(auth).update_crud(id=data.id, data=data)
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return ExampleOutSchema.model_validate(obj).model_dump()
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@classmethod
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async def delete_example_service(cls, auth: AuthSchema, ids: list[int]) -> None:
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"""删除"""
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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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for id in ids:
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obj = await ExampleCRUD(auth).get_by_id_crud(id=id)
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if not obj:
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raise CustomException(msg='删除失败，该数据不存在')
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await ExampleCRUD(auth).delete_crud(ids=ids)
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@classmethod
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async def set_example_available_service(cls, auth: AuthSchema, data: BatchSetAvailable) -> None:
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"""批量设置状态"""
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await ExampleCRUD(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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"""批量导出"""
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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_at': '创建时间',
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'updated_at': '更新时间',
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'creator': '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'] = '正常' if item.get('status') else '停用'
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# 处理公告类型
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item['creator'] = item.get('creator', {}).get('name', '未知') if isinstance(item.get('creator'), dict) else '未知'
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return ExcelUtil.export_list2excel(list_data=obj_list, 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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"""批量导入"""
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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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for field in required_fields:
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if df[field].isnull().any():
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missing_rows = df[df[field].isnull()].index.tolist()
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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")
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error_msgs = []
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success_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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try:
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# 数据转换前的类型检查
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try:
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name = str(row['name'])
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except ValueError:
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error_msgs.append(f"第{index+1}行: 名称必须是字符串")
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continue
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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{index+1}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": name,
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"status": status,
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"description": str(row['description']).strip() if not pd.isna(row['description']) else None,
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}
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# 处理用户导入
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exists_user = await ExampleCRUD(auth).get(name=data["name"])
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if exists_user:
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if update_support:
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await ExampleCRUD(auth).update(id=exists_user.id, data=data)
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success_count += 1
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else:
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error_msgs.append(f"第{index+1}行: 用户 {data['username']} 已存在")
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else:
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await ExampleCRUD(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{index+1}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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logger.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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"""下载导入模板"""
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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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)
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