from typing import Union

from fastapi import APIRouter, FastAPI
from pydantic import BaseModel, HttpUrl

app = FastAPI()


class Invoice(BaseModel):
    id: str
    title: Union[str, None] = None
    customer: str
    total: float


class InvoiceEvent(BaseModel):
    description: str
    paid: bool


class InvoiceEventReceived(BaseModel):
    ok: bool


invoices_callback_router = APIRouter()

from fastapi import Depends, FastAPI, Security
from fastapi.security import APIKeyQuery
from fastapi.testclient import TestClient
from pydantic import BaseModel

app = FastAPI()

api_key = APIKeyQuery(name="key", description="API Key Query")


class User(BaseModel):
    username: str


def get_current_user(oauth_header: str = Security(api_key)):
    user = User(username=oauth_header)
    return user


@app.get("/users/me")

<img src="/img/tutorial/path-params/image02.png">

이와 마찬가지로 다양한 언어에 대한 코드 생성 도구를 포함하여 여러 호환되는 도구가 있습니다.

## Pydantic

모든 데이터 검증은 <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a>에 의해 내부적으로 수행되므로 이로 인한 이점을 모두 얻을 수 있습니다. 여러분은 관리를 잘 받고 있음을 느낄 수 있습니다.

`str`, `float`, `bool`, 그리고 다른 여러 복잡한 데이터 타입 선언을 할 수 있습니다.

이 중 몇 가지는 자습서의 다음 장에 설명되어 있습니다.

                    "msg": "Field required",
                    "input": None,
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["body", "files"],
                    "msg": "field required",
                    "type": "value_error.missing",
                }

from typing import Dict

from fastapi import FastAPI
from fastapi.testclient import TestClient
from pydantic import BaseModel

app = FastAPI()


class Items(BaseModel):
    items: Dict[str, int]


@app.post("/foo")
def foo(items: Items):
    return items.items


client = TestClient(app)


def test_additional_properties_post():
    response = client.post("/foo", json={"items": {"foo": 1, "bar": 2}})

import typing

from fastapi import FastAPI, Response
from fastapi.responses import JSONResponse
from fastapi.testclient import TestClient
from pydantic import BaseModel

app = FastAPI()


class JsonApiResponse(JSONResponse):
    media_type = "application/vnd.api+json"


class Error(BaseModel):
    status: str
    title: str


class JsonApiError(BaseModel):
    errors: typing.List[Error]


@app.get(

                                    "title": "Q",
                                }
                            )
                            | IsDict(
                                # TODO: remove when deprecating Pydantic v1
                                {
                                    "title": "Q",
                                    "type": "array",
                                    "items": {"type": "string"},

Hepsi, tüm geliştiriciler için en iyi geliştirme deneyimini sağlayacak şekilde.

## Gereksinimler

Çeşitli alternatifleri test ettikten sonra, avantajlarından dolayı <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">**Pydantic**</a>'i kullanmaya karar verdim.

from typing import Union

from fastapi import FastAPI, Path
from pydantic import BaseModel
from typing_extensions import Annotated

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: Annotated[int, Path(title="The ID of the item to get", ge=0, le=1000)],

from typing import List

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float


class ResponseMessage(BaseModel):
    message: str


class User(BaseModel):
    username: str
    email: str


@app.post("/items/", response_model=ResponseMessage, tags=["items"])
async def create_item(item: Item):