from typing import Annotated

from fastapi import Body, FastAPI
from pydantic import BaseModel, Field

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = Field(
        default=None, title="The description of the item", max_length=300
    )
    price: float = Field(gt=0, description="The price must be greater than zero")
    tax: float | None = None


@app.put("/items/{item_id}")

{* ../../docs_src/body_multiple_params/tutorial002_py310.py hl[20] *}

У цьому випадку **FastAPI** розпізнає, що є кілька параметрів тіла (два параметри є моделями Pydantic).

Тому він використає назви параметрів як ключі (назви полів) у тілі запиту, очікуючи:

```JSON
{
    "item": {
        "name": "Foo",
        "description": "The pretender",
        "price": 42.0,

## Import `Field` { #import-field }

First, you have to import it:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}


/// warning

Notice that `Field` is imported directly from `pydantic`, not from `fastapi` as are all the rest (`Query`, `Path`, `Body`, etc).

///

from typing import Annotated

from fastapi import Body, FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


class User(BaseModel):
    username: str
    full_name: str | None = None


@app.put("/items/{item_id}")
async def update_item(
    *,
    item_id: int,
    item: Item,

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class RecursiveItem(BaseModel):
    sub_items: list["RecursiveItem"] = []
    name: str


class RecursiveSubitemInSubmodel(BaseModel):
    sub_items2: list["RecursiveItemViaSubmodel"] = []
    name: str


class RecursiveItemViaSubmodel(BaseModel):
    sub_items1: list[RecursiveSubitemInSubmodel] = []
    name: str

from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None
    tags: set[str] = set()


@app.post(
    "/items/",
    response_model=Item,
    summary="Create an item",
    response_description="The created item",
)

                                {"exclusiveMinimum": 0.0, "type": "number"},
                                IsOneOf(
                                    # pydantic < 2.12.0
                                    {"type": "string"},
                                    # pydantic >= 2.12.0
                                    {
                                        "type": "string",

API를 보호하고 싶다면, 예를 들어 다음과 같은 더 나은 방법들이 있습니다:

* 요청 본문과 응답에 대해 잘 정의된 Pydantic 모델을 사용하도록 하세요.

* 종속성을 사용하여 필요한 권한과 역할을 구성하세요.

* 평문 비밀번호를 절대 저장하지 말고, 오직 암호화된 비밀번호만 저장하세요.

* Passlib과 JWT 토큰과 같은 잘 알려진 암호화 도구들을 구현하고 사용하세요.

* 필요한 곳에 OAuth2 범위를 사용하여 더 세분화된 권한 제어를 추가하세요.

* 등등....

from typing import Union

from fastapi import FastAPI, Path
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None


@app.put("/items/{item_id}")
async def update_item(
    *,
    item_id: int = Path(title="The ID of the item to get", ge=0, le=1000),
    q: Union[str, None] = None,

import yaml
from fastapi import FastAPI, HTTPException, Request
from pydantic.v1 import BaseModel, ValidationError

app = FastAPI()


class Item(BaseModel):
    name: str
    tags: list[str]


@app.post(
    "/items/",
    openapi_extra={
        "requestBody": {
            "content": {"application/x-yaml": {"schema": Item.schema()}},
            "required": True,
        },
    },
)