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193 lines
7.1 KiB
Python
193 lines
7.1 KiB
Python
import io
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from typing import Any
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import pandas as pd
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from fastapi import UploadFile
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from app.core.base_schema import AuthSchema, BatchSetAvailable
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from app.core.exceptions import CustomException
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from app.core.logger import logger
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from app.utils.excel_util import ExcelUtil
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from .crud import DemoCRUD
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from .schema import (
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DemoCreateSchema,
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DemoOutSchema,
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DemoQueryParam,
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DemoUpdateSchema,
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)
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class DemoService:
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"""示例管理模块服务层"""
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def __init__(self, auth: AuthSchema) -> None:
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self.auth = auth
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async def detail(self, id: int) -> DemoOutSchema:
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obj = await DemoCRUD(self.auth).get(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)
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async def get_list(
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self,
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search: DemoQueryParam | None = None,
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order_by: list[dict[str, str]] | None = None,
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) -> list[DemoOutSchema]:
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obj_list = await DemoCRUD(self.auth).get_list(search=vars(search) if search else None, order_by=order_by)
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return [DemoOutSchema.model_validate(obj) for obj in obj_list]
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async def page(
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self,
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page_no: int,
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page_size: int,
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search: DemoQueryParam | None = None,
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order_by: list[dict[str, str]] | None = None,
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) -> dict:
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offset = (page_no - 1) * page_size
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return await DemoCRUD(self.auth).page(
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offset=offset,
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limit=page_size,
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order_by=order_by or [{"id": "asc"}],
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search=vars(search) if search else None,
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out_schema=DemoOutSchema,
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)
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async def create(self, data: DemoCreateSchema) -> DemoOutSchema:
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obj = await DemoCRUD(self.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(self.auth).create(data=data)
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return DemoOutSchema.model_validate(obj)
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async def update(self, id: int, data: DemoUpdateSchema) -> DemoOutSchema:
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obj = await DemoCRUD(self.auth).get(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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exist_obj = await DemoCRUD(self.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(self.auth).update(id=id, data=data)
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return DemoOutSchema.model_validate(obj)
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async def delete(self, ids: list[int]) -> None:
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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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objs = await DemoCRUD(self.auth).get_list(search={"id": ("in", ids)})
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obj_map = {o.id: o for o in objs}
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for id_ in ids:
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if id_ not in obj_map:
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raise CustomException(msg="删除失败,该数据不存在")
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await DemoCRUD(self.auth).delete(ids=ids)
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async def set_available(self, data: BatchSetAvailable) -> None:
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await DemoCRUD(self.auth).set(ids=data.ids, status=data.status)
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@staticmethod
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def batch_export(obj_list: list[dict[str, Any]]) -> bytes:
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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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data = obj_list.copy()
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for item in data:
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item["status"] = "启用" if item.get("status") == 0 else "停用"
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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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async def batch_import(self, file: UploadFile, update_support: bool = False) -> str:
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header_dict = {"名称": "name", "状态": "status", "描述": "description"}
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try:
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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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missing_headers = [header for header in header_dict 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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df.rename(columns=header_dict, inplace=True)
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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 = next(k for k, v in header_dict.items() if v == field)
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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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for _index, row in df.iterrows():
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count += 1
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try:
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try:
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status = 0 if row["status"] == "正常" else 1
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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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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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exists_obj = await DemoCRUD(self.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(self.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(self.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: {e!s}")
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continue
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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: {e!s}")
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raise CustomException(msg=f"导入失败: {e!s}")
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@staticmethod
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def import_template_download() -> bytes:
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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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