import io from typing import Any import pandas as pd from fastapi import UploadFile from app.api.v1.module_system.auth.schema import AuthSchema from app.core.base_schema import BatchSetAvailable from app.core.exceptions import CustomException from app.core.logger import log from app.utils.excel_util import ExcelUtil from .crud import Demo01CRUD from .schema import ( Demo01CreateSchema, Demo01OutSchema, Demo01QueryParam, Demo01UpdateSchema, ) class Demo01Service: """ 示例管理模块服务层 """ @classmethod async def detail_service(cls, auth: AuthSchema, id: int) -> dict: """ 详情 参数: - auth (AuthSchema): 认证信息模型 - id (int): 示例ID 返回: - dict: 示例模型实例字典 """ obj = await Demo01CRUD(auth).get_by_id_crud(id=id) if not obj: raise CustomException(msg="该数据不存在") return Demo01OutSchema.model_validate(obj).model_dump() @classmethod async def list_service( cls, auth: AuthSchema, search: Demo01QueryParam | None = None, order_by: list[dict[str, str]] | None = None, ) -> list[dict]: """ 列表查询 参数: - auth (AuthSchema): 认证信息模型 - search (Demo01QueryParam | None): 查询参数 - order_by (list[dict[str, str]] | None): 排序参数 返回: - list[dict]: 示例模型实例字典列表 """ search_dict = search.__dict__ if search else None obj_list = await Demo01CRUD(auth).list_crud(search=search_dict, order_by=order_by) return [Demo01OutSchema.model_validate(obj).model_dump() for obj in obj_list] @classmethod async def page_service( cls, auth: AuthSchema, page_no: int, page_size: int, search: Demo01QueryParam | None = None, order_by: list[dict[str, str]] | None = None, ) -> dict: """ 分页查询 参数: - auth (AuthSchema): 认证信息模型 - page_no (int): 页码 - page_size (int): 每页数量 - search (Demo01QueryParam | None): 查询参数 - order_by (list[dict[str, str]] | None): 排序参数 返回: - dict: 分页数据 """ search_dict = search.__dict__ if search else {} order_by_list = order_by or [{"id": "asc"}] offset = (page_no - 1) * page_size result = await Demo01CRUD(auth).page_crud( offset=offset, limit=page_size, order_by=order_by_list, search=search_dict, ) return result @classmethod async def create_service(cls, auth: AuthSchema, data: Demo01CreateSchema) -> dict: """ 创建 参数: - auth (AuthSchema): 认证信息模型 - data (Demo01CreateSchema): 示例创建模型 返回: - dict: 示例模型实例字典 """ obj = await Demo01CRUD(auth).get(name=data.name) if obj: raise CustomException(msg="创建失败，名称已存在") obj = await Demo01CRUD(auth).create_crud(data=data) return Demo01OutSchema.model_validate(obj).model_dump() @classmethod async def update_service(cls, auth: AuthSchema, id: int, data: Demo01UpdateSchema) -> dict: """ 更新 参数: - auth (AuthSchema): 认证信息模型 - id (int): 示例ID - data (Demo01UpdateSchema): 示例更新模型 返回: - dict: 示例模型实例字典 """ # 检查数据是否存在 obj = await Demo01CRUD(auth).get_by_id_crud(id=id) if not obj: raise CustomException(msg="更新失败，该数据不存在") # 检查名称是否重复 exist_obj = await Demo01CRUD(auth).get(name=data.name) if exist_obj and exist_obj.id != id: raise CustomException(msg="更新失败，名称重复") obj = await Demo01CRUD(auth).update_crud(id=id, data=data) return Demo01OutSchema.model_validate(obj).model_dump() @classmethod async def delete_service(cls, auth: AuthSchema, ids: list[int]) -> None: """ 删除 参数: - auth (AuthSchema): 认证信息模型 - ids (list[int]): 示例ID列表 返回: - None """ if len(ids) < 1: raise CustomException(msg="删除失败，删除对象不能为空") # 检查所有要删除的数据是否存在 for id in ids: obj = await Demo01CRUD(auth).get_by_id_crud(id=id) if not obj: raise CustomException(msg=f"删除失败，ID为{id}的数据不存在") await Demo01CRUD(auth).delete_crud(ids=ids) @classmethod async def set_available_service(cls, auth: AuthSchema, data: BatchSetAvailable) -> None: """ 批量设置状态 参数: - auth (AuthSchema): 认证信息模型 - data (BatchSetAvailable): 批量设置状态模型 返回: - None """ await Demo01CRUD(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 参数: - obj_list (list[dict[str, Any]]): 示例模型实例字典列表 返回: - bytes: Excel文件字节流 """ mapping_dict = { "id": "编号", "name": "名称", "status": "状态", "description": "备注", "created_time": "创建时间", "updated_time": "更新时间", "created_id": "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"] = "启用" if item.get("status") == "0" else "停用" # 处理创建者 creator_info = item.get("created_id") if isinstance(creator_info, dict): item["created_id"] = creator_info.get("name", "未知") else: item["created_id"] = "未知" return ExcelUtil.export_list2excel(list_data=data, mapping_dict=mapping_dict) @classmethod async def batch_import_service( cls, auth: AuthSchema, file: UploadFile, update_support: bool = False ) -> str: """ 批量导入 参数: - auth (AuthSchema): 认证信息模型 - file (UploadFile): 上传的Excel文件 - update_support (bool): 是否支持更新存在数据 返回: - str: 导入结果信息 """ 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"] errors = [] for field in required_fields: missing_rows = df[df[field].isnull()].index.tolist() if missing_rows: field_name = next(k for k, v in header_dict.items() if v == field) rows_str = "、".join([str(i + 1) for i in missing_rows]) errors.append(f"{field_name}不能为空，第{rows_str}行") if errors: raise CustomException(msg=f"导入失败，以下行缺少必要字段：\n{'; '.join(errors)}") error_msgs = [] success_count = 0 count = 0 # 处理每一行数据 for _index, row in df.iterrows(): count += 1 try: # 数据转换前的类型检查 try: status = "0" if row["status"] == "正常" else "1" except ValueError: error_msgs.append(f"第{count}行: 状态必须是'正常'或'停用'") continue # 构建用户数据 data = { "name": str(row["name"]), "status": status, "description": str(row["description"]), } # 处理用户导入 exists_obj = await Demo01CRUD(auth).get(name=data["name"]) if exists_obj: if update_support: await Demo01CRUD(auth).update(id=exists_obj.id, data=data) success_count += 1 else: error_msgs.append(f"第{count}行: 对象 {data['name']} 已存在") else: await Demo01CRUD(auth).create(data=data) success_count += 1 except Exception as e: error_msgs.append(f"第{count}行: {e!s}") 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: log.error(f"批量导入用户失败: {e!s}") raise CustomException(msg=f"导入失败: {e!s}") @classmethod async def import_template_download_service(cls) -> bytes: """ 下载导入模板 返回: - bytes: Excel文件字节流 """ 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, )