@model_validator(mode="before")defnormalize_keys(cls, values: Any) ->Dict[str, Any]:#检查请求体是否为空ifnotvalues:raiseValueError("Empty request body")#如果 values 是 dict 类型,将其键名转换为小写if isinstance(values, dict):return{key.lower(): valueforkey, valueinvalues.items()}else:ret...
from pydantic import BaseModel, model_validate from typing import Dict, Any class MyModel(BaseModel): id: int name: str description: str def preprocess_data(data: Dict[str, Any]) -> Dict[str, Any]: # 转换字段名为小写 return {k.lower(): v for k, v in data.items()} data = { ...
delmodel_dict['_sa_instance_state'] returnmodel_dict Base.to_dict = to_dict# 注意:这个跟使用flask_sqlalchemy的有区别 # 单个对象方法2 defsingle_to_dict(self): return{c.name:getattr(self, c.name)forcinself.__table__.columns} # 多个对象 defdobule_to_dict(self): result = {} forkey...
from fastapi import FastAPI, HTTPException from pydantic import BaseModel class User(BaseModel): name: str age: int app = FastAPI() @app.post("/register/") async def register_user(user: User): # 如果数据通过验证,这里的`user`就是一个已验证且类型正确的`User`实例 # 你可以安全地使用`user....
torch.save(model.state_dict(), '../model/model.pt') 一旦保存了模型和基本对象,我们就可以继续设置API服务了。 六、设置FastAPI FastAPI是一个Python包,可以作为RESTful API服务器——类似于Flask。我推荐FastAPI而不是Flask,主要是因为它可以自动为API生成OpenAPI和ReDoc文档。需要调用API端点的开发人员可以简单地...
from peewee import * from config import db from utils.password import check_password class UserModel(Model): username = CharField() password = CharField() class Meta: database = db.db db_table = "user" 2、创建根据用户名查询用户的方法 ...
def to_dict(self): return { "userid": self.userid, "username": self.username } # 在数据库中生成表 Base.metadata.create_all(bind=engine) ### 添加数据 from pydantic import BaseModel # 定义数据模型 class CreatUser(BaseModel): userid: int ...
model_path=model_path, version=self.version, device=device, hps=self.hps, ) def to_dict(self) -> Dict[str, any]: return { "config_path": self.config_path, "model_path": self.model_path, "device": self.device, "language": self.language, "spk2id": self.spk2id...
如id和created_at都是公共字段,而to_dict是非常常用的序列化方法。 接下来就是单独的表,如Post表: classPost(BaseModel,CommentMixin,ReactMixin):STATUSES=(STATUS_UNPUBLISHED,STATUS_ONLINE)=range(2)status=Column(SmallInteger(),default=STATUS_UNPUBLISHED)(TYPE_ARTICLE,TYPE_PAGE)=range(2)created_at=Column...
model是一种滑雪ElasticNet模型。 app = FastAPI() def response_to_mongo(r: dict): client = pymongo.MongoClient("mongodb://mongo:27017") db = client["models"] model_collection = db["example-mode 浏览30提问于2022-03-14得票数 2 回答已采纳...