532 lines
23 KiB
Python
532 lines
23 KiB
Python
import asyncio
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import datetime
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import json
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from typing import Type, List, Any, Union
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from fastapi import FastAPI, APIRouter, HTTPException, Body
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from pydantic import create_model, BaseModel
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from sqlalchemy import func
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from sqlmodel import select
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from starlette.requests import Request
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from app.model.BasicModel import BasicModel
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from app.utils.PageQueryParams import PageQueryParams
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from app.utils.db_utils import AsyncSessionDep
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from app.utils.next_id import next_id
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class ModelPublicUser(BaseModel):
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id: str
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def create_model_service(
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#/*@formatter:off*/
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Cls: Type[BasicModel], # model实体类
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custom_query = None,
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before_query_list=None, # 分页查询前异步处理函数，参数：(query_param, session)
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after_query_list=None, # 分页查询后异步处理函数，参数：(query_cls_list, has_next, query_param, session)
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before_query_item=None, # 单条查询前异步处理函数，参数：(row_dict, session)
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after_query_item=None, # 单条查询后异步处理函数，参数：(item_cls, row_dict, session)
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before_insert=None, # 单条新建前异步处理函数，参数：(row_dict, session)
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after_insert=None, # 单条新建后异步处理函数，参数：(insert_cls, row_dict, session)
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before_update=None, # 单条更新前异步处理函数，参数：(row_dict, session)
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after_update=None, # 单条更新后异步处理函数，参数：(update_cls, row_dict, session)
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before_delete=None, # 单条删除前异步处理函数，参数：(row_dict, session)
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after_delete=None, # 单条删除后异步处理函数，参数：(delete_cls, row_dict, session)
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before_batch_insert=None, # 批量新建前异步处理函数，参数：(row_dict_list, session)
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after_batch_insert=None, # 批量新建后异步处理函数，参数：(refresh_cls_list, row_dict_list, session)
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before_batch_update=None, # 批量更新前异步处理函数，参数：(row_dict_list, session)
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after_batch_update=None, # 批量更新后异步处理函数，参数：(refresh_cls_list, row_dict_list, session)
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before_batch_delete=None, # 批量删除前异步处理函数，参数：(row_dict_list, session)
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after_batch_delete=None, # 批量删除后异步处理函数，参数：(delete_cls_list, row_dict_list, session)
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# /*@formatter:on*/
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):
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# 定义模型服务类，封装模型相关的CRUD接口及业务逻辑
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class ModelService:
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# 支持的所有端点列表，包含常用的CRUD及批量操作
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END_POINTS = ['list', 'item', 'insert', 'batch_insert', 'update', 'batch_update', 'delete', 'batch_delete']
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def __init__(self):
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# 验证传入的模型类是否继承自BasicModel，确保基础字段存在
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if not issubclass(Cls, BasicModel):
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raise TypeError(f"{Cls.__name__} 必须继承自 BasicModel")
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# 保存当前操作的模型类
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self.Cls = Cls
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# 检查字典中的键是否为模型类的有效属性
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# 参数:
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# row_dict: 待检查的字典（通常为请求参数）
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def check_invalid_keys(self, row_dict: dict):
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# 筛选出所有不在模型类属性中的键（无效键）
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invalid_keys = [key for key in row_dict.keys() if not hasattr(Cls, key)]
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if invalid_keys:
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# 若存在无效键，抛出HTTP 500异常，提示无效键和有效键列表
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raise HTTPException(
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status_code=500,
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detail=f"Invalid filter keys: {invalid_keys}. Valid keys are: {Cls.__annotations__.keys()}"
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)
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# 检查要新建的行数据
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async def check_insert_row_dict(self, row_dict: dict, user: ModelPublicUser):
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# 若未提供id，自动生成唯一id
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if row_dict.get("id", None) is None:
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row_dict["id"] = await next_id()
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if user:
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if not row_dict.get("created_by", None):
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row_dict["created_by"] = user.id
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if not row_dict.get("updated_by", None):
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row_dict["updated_by"] = user.id
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# 检查要更新的行数据
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async def check_update_row_dict(self, row_dict: dict, user: ModelPublicUser):
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if user:
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row_dict["updated_by"] = user.id
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row_dict["updated_at"] = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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def add_route(
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self,
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app: FastAPI, # FastAPI实例，用来注册路由
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path: str, # 路由前缀地址
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end_points: List[str] = None, # 生成的端点入口接口清单
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):
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# 确定启用的端点，默认为全部支持的端点
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if not end_points:
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end_points = self.END_POINTS
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# 动态创建分页查询的响应模型：包含数据列表和是否有下一页的标识
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ListResponse = create_model(f"{Cls.__name__}ListResponse", list=(List[Cls], ...), has_next=(bool, ...), total=(Union[int, None], None))
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# 动态创建单条查询的响应模型：包含单个模型实例
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ItemResponse = create_model(f"{Cls.__name__}ItemResponse", result=(Cls, ...))
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# 动态创建批量操作的响应模型：包含操作后的模型实例列表
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BatchResponse = create_model(f"{Cls.__name__}BatchResponse", result=(List[Cls], ...))
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# 动态创建批量删除的响应模型：包含删除操作是否成功的标识
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DeleteResponse = create_model(f"{Cls.__name__}BatchResponse", result=(bool, ...))
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# 创建APIRouter实例，设置路由前缀和标签（标签用于API文档分组）
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router = APIRouter(prefix=path, tags=[path])
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# 若启用"list"端点，注册列表查询接口
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if 'list' in end_points:
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# 列表查询接口：支持过滤和分页，响应模型为ListResponse
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@router.post("/list", response_model=ListResponse)
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async def _list(query_param: PageQueryParams, session: AsyncSessionDep):
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# 调用query_list方法执行查询，获取数据列表和是否有下一页
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query_cls_list, has_next, total = await self.query_list(query_param, session)
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# 返回符合响应模型的结果
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return {
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"list": query_cls_list,
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"has_next": has_next,
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"total": total,
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}
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# 若启用"item"端点，注册单条查询接口
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if 'item' in end_points:
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# 单条查询接口：根据条件查询单条记录，响应模型为ItemResponse
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@router.post("/item", response_model=ItemResponse)
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async def _item(
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session: AsyncSessionDep,
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row_dict: dict = Body(..., description=f"插入的数据，字段参考{Cls.__name__}")
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):
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# 调用query_item方法查询单条记录并返回
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return {"result": await self.query_item(session, row_dict)}
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# 若启用"insert"端点，注册单条插入接口
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if 'insert' in end_points:
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# 单条插入接口：新增一条记录，响应模型为ItemResponse
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@router.post("/insert", response_model=ItemResponse)
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async def _insert(
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session: AsyncSessionDep,
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request: Request,
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row_dict: dict = Body(..., description=f"插入的数据，字段参考{Cls.__name__}"),
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):
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# 调用item_insert方法执行插入并返回结果
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return {"result": await self.item_insert(session, row_dict, request.state.user)}
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# 若启用"batch_insert"端点，注册批量插入接口
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if 'batch_insert' in end_points:
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# 批量插入接口：批量新增记录，响应模型为BatchResponse
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@router.post("/batch_insert", response_model=BatchResponse)
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async def _batch_insert(
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session: AsyncSessionDep,
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row_dict_list: List[dict] = Body(..., description=f"批量插入的数据数组，字段参考{Cls.__name__}"),
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request: Request = None,
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):
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# 调用batch_insert方法执行批量插入并返回结果
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return {"result": await self.batch_insert(session, row_dict_list, request.state.user)}
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# 若启用"update"端点，注册单条更新接口
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if 'update' in end_points:
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# 单条更新接口：更新一条记录，响应模型为ItemResponse
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@router.post("/update", response_model=ItemResponse)
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async def _update(
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session: AsyncSessionDep,
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row_dict: dict = Body(..., description=f"更新的数据，字段参考{Cls.__name__}"),
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request: Request = None,
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):
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# 调用item_update方法执行更新并返回结果
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return {"result": await self.item_update(session, row_dict, request.state.user)}
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# 若启用"batch_update"端点，注册批量更新接口
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if 'batch_update' in end_points:
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# 批量更新接口：批量更新记录，响应模型为BatchResponse
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@router.post("/batch_update", response_model=BatchResponse)
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async def _batch_update(
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session: AsyncSessionDep,
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row_dict_list: List[dict] = Body(..., description=f"批量更新的数据数组，字段参考{Cls.__name__}"),
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request: Request = None,
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):
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# 调用batch_update方法执行批量更新并返回结果
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return {"result": await self.batch_update(session, row_dict_list, request.state.user)}
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# 若启用"delete"端点，注册单条删除接口
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if 'delete' in end_points:
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# 单条删除接口：删除一条记录，响应模型为DeleteResponse
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@router.post("/delete", response_model=DeleteResponse)
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async def _delete(
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session: AsyncSessionDep,
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row_dict: dict = Body(..., description=f"删除的数据，字段参考{Cls.__name__}")
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):
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# 调用item_delete方法执行删除并返回结果
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return {"result": await self.item_delete(session, row_dict)}
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# 若启用"batch_delete"端点，注册批量删除接口
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if 'batch_delete' in end_points:
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# 批量删除接口：批量删除记录，响应模型为DeleteResponse
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@router.post("/batch_delete", response_model=DeleteResponse)
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async def _delete(
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session: AsyncSessionDep,
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row_dict_list: List[dict] = Body(..., description=f"批量删除的数据数组，字段参考{Cls.__name__}")
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):
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# 调用batch_delete方法执行批量删除并返回结果
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return {"result": await self.batch_delete(session, row_dict_list)}
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# 将路由添加到FastAPI应用
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app.include_router(router)
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def select_cls(self):
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if custom_query is not None:
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query = custom_query()
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else:
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query = select(Cls)
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return query
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# 分页查询工具方法：执行带过滤和分页的查询
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async def query_list(self, query_param: PageQueryParams, session: AsyncSessionDep):
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if before_query_list is not None:
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await before_query_list(query_param, session)
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# 创建基础查询：查询当前模型类的所有记录
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query = self.select_cls()
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count_query = select(func.count()).select_from(Cls)
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# 若有过滤条件，验证并应用过滤
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if query_param.filters:
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self.check_invalid_keys(query_param.filters)
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# 为每个过滤条件添加WHERE子句（字段=值）
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for key, value in query_param.filters.items():
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# 判断value是否为列表或元组类型
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if isinstance(value, (list, tuple)):
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# 如果是数组，使用in查询
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query = query.where(getattr(Cls, key).in_(value))
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count_query = count_query.where(getattr(Cls, key).in_(value))
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else:
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# 如果不是数组，使用等于查询
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query = query.where(getattr(Cls, key) == value)
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count_query = count_query.where(getattr(Cls, key) == value)
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if query_param.sort_field:
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# 为排序字段添加ORDER BY子句
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cls_attr = getattr(Cls, query_param.sort_field)
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order_value = cls_attr.desc() if query_param.sort_desc == 'desc' else cls_attr.asc();
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query = query.order_by(order_value)
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# 若不查询全部数据（即启用分页）
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if query_param.all is False:
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# 计算偏移量（跳过前N条），并查询比一页多1条的记录（用于判断是否有下一页）
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query = query.offset(query_param.page * query_param.page_size).limit(query_param.page_size + 1)
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# 执行查询并获取结果
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result = await session.execute(query)
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if query_param.count:
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total, = (await session.execute(count_query)).one()
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else:
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total = None
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# 将查询结果转换为标量列表（模型实例列表）
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query_cls_list: List[Any] = result.scalars().all()
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# 打印查询结果类型和内容（调试用）
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print("query_cls_list", type(query_cls_list), query_cls_list)
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# 判断是否有下一页：若查询结果数量等于一页大小+1，则说明有下一页
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has_next = len(query_cls_list) == query_param.page_size + 1
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# 若有下一页，移除多查询的那一条记录
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if has_next:
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query_cls_list.pop()
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if after_query_list is not None:
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await after_query_list(query_cls_list, has_next, query_param, session)
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# 返回处理后的结果列表和是否有下一页的标识
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return (query_cls_list, has_next, total)
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# 单条查询工具方法：根据条件查询单条记录
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async def query_item(self, session: AsyncSessionDep, row_dict: dict = Body(..., description=f"查询数据的字段筛选值，字段参考{Cls.__name__}")):
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if before_query_item is not None:
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await before_query_item(row_dict, session)
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# 创建基础查询：查询当前模型类的所有记录
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query = self.select_cls()
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# 验证查询条件中的键是否有效
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self.check_invalid_keys(row_dict)
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# 为每个条件添加WHERE子句（字段=值）
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for key, value in row_dict.items():
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query = query.where(getattr(Cls, key) == value)
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# 执行查询
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result = await session.execute(query)
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# 返回第一条匹配的记录（若存在）
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item_cls = result.scalars().first()
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if after_query_item is not None:
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await after_query_item(item_cls, row_dict, session)
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return item_cls
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# 单条插入工具方法：新增一条记录
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async def item_insert(
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self,
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session: AsyncSessionDep,
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row_dict: dict = Body(..., description=f"插入的数据，字段参考{Cls.__name__}"),
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user: ModelPublicUser = None,
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):
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if before_insert is not None:
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await before_insert(row_dict, session)
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await self.check_insert_row_dict(row_dict, user)
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try:
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# 使用模型类验证数据并创建实例（校验字段类型和约束）
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insert_cls = Cls.model_validate(row_dict)
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except ValueError as e:
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# 数据验证失败时，抛出HTTP 500异常并返回错误详情
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raise HTTPException(status_code=500, detail=str(e))
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# 将实例添加到数据库会话
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session.add(insert_cls)
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# 提交事务（保存到数据库）
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await session.commit()
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# 刷新实例，获取数据库生成的最新数据（如自动更新的时间字段）
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await session.refresh(insert_cls)
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insert_cls = await self.query_item(session, {"id": insert_cls.id})
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if after_insert is not None:
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await after_insert(insert_cls, row_dict, session)
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# 返回插入的实例
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return insert_cls
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# 批量插入工具方法：批量新增记录
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async def batch_insert(
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self,
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session: AsyncSessionDep,
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row_dict_list: List[dict] = Body(..., description=f"批量插入的数据数组，字段参考{Cls.__name__}"),
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user: ModelPublicUser = None,
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):
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if before_batch_insert is not None:
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await before_batch_insert(row_dict_list, session)
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# 筛选出没有id的记录（需要自动生成id）
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row_dict_list_without_id = []
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for row_dict in row_dict_list:
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if row_dict.get("id") is None:
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row_dict_list_without_id.append(row_dict)
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# 若存在需要自动生成id的记录
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if len(row_dict_list_without_id):
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# 批量生成唯一id（数量等于需要生成id的记录数）
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new_id_list = await next_id(len(row_dict_list_without_id))
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# 为每条记录分配生成的id
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for index, id in enumerate(new_id_list):
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row_dict_list_without_id[index]["id"] = id
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for row_dict in row_dict_list_without_id:
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await self.check_insert_row_dict(row_dict, user)
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try:
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# 验证所有记录并转换为模型实例列表
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insert_cls_list = [Cls.model_validate(row_dict) for row_dict in row_dict_list]
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except ValueError as e:
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# 验证失败时抛出异常
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raise HTTPException(status_code=500, detail=str(e))
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# 将所有实例添加到会话
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session.add_all(insert_cls_list)
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# 提交事务，保存数据到数据库
|
||
await session.commit()
|
||
|
||
# 查询并返回所有插入的实例（刷新数据，确保获取最新状态）
|
||
refresh_cls_list = (await session.execute(self.select_cls().where(Cls.id.in_([obj.id for obj in insert_cls_list])))).scalars().all()
|
||
|
||
if after_batch_insert is not None:
|
||
await after_batch_insert(refresh_cls_list, row_dict_list, session)
|
||
|
||
# 返回刷新后的实例列表
|
||
return refresh_cls_list
|
||
|
||
# 单条更新工具方法：更新一条记录
|
||
async def item_update(
|
||
self,
|
||
session: AsyncSessionDep,
|
||
row_dict: dict = Body(..., description=f"更新的数据，字段参考{Cls.__name__}"),
|
||
user: ModelPublicUser = None
|
||
):
|
||
|
||
if before_update is not None:
|
||
await before_update(row_dict, session)
|
||
|
||
await self.check_update_row_dict(row_dict, user)
|
||
|
||
# 检查id是否存在（更新必须指定id）
|
||
if not row_dict.get('id'):
|
||
raise HTTPException(status_code=400, detail="ID不能为空")
|
||
# 根据id查询要更新的记录
|
||
update_cls = (await session.exec(self.select_cls().where(Cls.id == row_dict.get('id')))).first()
|
||
if not update_cls:
|
||
# 若记录不存在，抛出异常
|
||
raise HTTPException(status_code=500, detail="Update row not found")
|
||
|
||
# 遍历更新字段：为记录的每个键设置新值
|
||
for key, value in row_dict.items():
|
||
setattr(update_cls, key, value)
|
||
|
||
# 将更新后的实例添加到会话
|
||
session.add(update_cls)
|
||
# 提交事务
|
||
await session.commit()
|
||
# 刷新实例，获取最新数据
|
||
await session.refresh(update_cls)
|
||
# update_cls = await self.query_item(session, {"id": update_cls.id})
|
||
|
||
if after_update is not None:
|
||
await after_update(update_cls, row_dict, session)
|
||
|
||
# 返回更新后的实例
|
||
return update_cls
|
||
|
||
# 批量更新工具方法：批量更新记录
|
||
async def batch_update(
|
||
self,
|
||
session: AsyncSessionDep,
|
||
row_dict_list: List[dict] = Body(..., description=f"批量更新的数据数组，字段参考{Cls.__name__}"),
|
||
user: ModelPublicUser = None
|
||
):
|
||
|
||
if before_batch_update is not None:
|
||
await before_batch_update(row_dict_list, session)
|
||
|
||
for row_dict in row_dict_list:
|
||
await self.check_update_row_dict(row_dict, user)
|
||
|
||
# 提取所有待更新记录的id
|
||
update_id_list = [row_dict['id'] for row_dict in row_dict_list]
|
||
# 根据id查询所有待更新的记录
|
||
update_cls_list = (await session.exec(self.select_cls().where(Cls.id.in_(update_id_list)))).all()
|
||
# 若查询到的记录数量与待更新数量不一致，说明部分id不存在
|
||
if len(update_cls_list) != len(row_dict_list):
|
||
# 抛出异常并提示不存在的id
|
||
raise HTTPException(status_code=500, detail="Update row not found：" + json.dumps(row_dict_list, ensure_ascii=False))
|
||
|
||
# 创建id到更新数据的映射（便于快速查找）
|
||
id_2_row_dict = {row_dict["id"]: row_dict for row_dict in row_dict_list}
|
||
|
||
# 遍历每条查询到的记录，更新其字段
|
||
for update_cls in update_cls_list:
|
||
# 获取当前记录对应的更新数据（根据id）
|
||
row_dict = id_2_row_dict.get(update_cls.id, None)
|
||
# 遍历更新字段
|
||
for key, value in row_dict.items():
|
||
setattr(update_cls, key, value)
|
||
|
||
# 将所有更新后的实例添加到会话
|
||
session.add_all(update_cls_list)
|
||
|
||
# 提交事务
|
||
await session.commit()
|
||
# 查询并返回所有更新后的实例（刷新数据）
|
||
refresh_cls_list = (await session.execute(self.select_cls().where(Cls.id.in_([obj.id for obj in update_cls_list])))).scalars().all()
|
||
|
||
if after_batch_update is not None:
|
||
await after_batch_update(refresh_cls_list, row_dict_list, session)
|
||
|
||
# 返回刷新后的实例列表
|
||
return refresh_cls_list
|
||
|
||
# 单条删除工具方法：删除一条记录
|
||
async def item_delete(self, session: AsyncSessionDep, row_dict: dict = Body(..., description=f"删除的数据，字段参考{Cls.__name__}")):
|
||
|
||
if before_delete is not None:
|
||
await before_delete(row_dict, session)
|
||
|
||
# 根据id查询要删除的记录
|
||
delete_cls = (await session.exec(self.select_cls().where(Cls.id == row_dict.get('id')))).first()
|
||
if not delete_cls:
|
||
# 若记录不存在，返回删除失败
|
||
return False
|
||
|
||
# 从会话中删除记录
|
||
await session.delete(delete_cls)
|
||
# 提交事务，执行删除
|
||
await session.commit()
|
||
|
||
if after_delete is not None:
|
||
await after_delete(delete_cls, row_dict, session)
|
||
|
||
# 返回删除成功
|
||
return True
|
||
|
||
# 批量删除工具方法：批量删除记录
|
||
async def batch_delete(self, session: AsyncSessionDep, row_dict_list: List[dict] = Body(..., description=f"批量删除的数据数组，字段参考{Cls.__name__}")):
|
||
|
||
if before_batch_delete is not None:
|
||
await before_batch_delete(row_dict_list, session)
|
||
|
||
# 若待删除列表为空，返回失败
|
||
if not row_dict_list:
|
||
return False
|
||
# 提取所有待删除记录的id
|
||
row_id_list = [row_dict.get("id") for row_dict in row_dict_list]
|
||
|
||
# 根据id查询所有待删除的记录
|
||
delete_cls_list = (await session.exec(self.select_cls().where(Cls.id.in_(row_id_list)))).all()
|
||
# 若查询到的记录数量与待删除数量不一致，说明部分id不存在
|
||
if len(delete_cls_list) != len(row_id_list):
|
||
# 抛出异常并提示不存在的id
|
||
raise HTTPException(status_code=500, detail="Delete row not found：" + json.dumps(row_id_list, ensure_ascii=False))
|
||
|
||
# 异步批量删除所有记录（使用gather并发执行删除操作）
|
||
await asyncio.gather(*[asyncio.create_task(session.delete(delete_cls)) for delete_cls in delete_cls_list])
|
||
|
||
# 提交事务，执行删除
|
||
await session.commit()
|
||
|
||
if after_batch_delete is not None:
|
||
await after_batch_delete(delete_cls_list, row_dict_list, session)
|
||
|
||
# 返回删除成功
|
||
return True
|
||
|
||
# 创建并返回ModelService实例
|
||
return ModelService()
|