from typing import List

import yaml
from fastapi import FastAPI, HTTPException, Request
from pydantic 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.model_json_schema()}},
            "required": True,
        },
    },

from fastapi import FastAPI
from fastapi.encoders import jsonable_encoder
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str | None = None
    description: str | None = None
    price: float | None = None
    tax: float = 10.5
    tags: list[str] = []


items = {
    "foo": {"name": "Foo", "price": 50.2},
    "bar": {"name": "Bar", "description": "The bartenders", "price": 62, "tax": 20.2},

from typing import Optional

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

app = FastAPI()

api_key = APIKeyCookie(name="key", auto_error=False)


class User(BaseModel):
    username: str


def get_current_user(oauth_header: Optional[str] = Security(api_key)):
    if oauth_header is None:
        return None

from typing import Optional

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", auto_error=False)


class User(BaseModel):
    username: str


def get_current_user(oauth_header: Optional[str] = Security(api_key)):
    if oauth_header is None:
        return None

关于如何传数据给后端的更多信息 (使用`httpx` 或 `TestClient`)，请查阅 <a href="https://www.python-httpx.org" class="external-link" target="_blank">HTTPX 文档</a>.

/// info | "信息"

注意 `TestClient` 接收可以被转化为JSON的数据，而不是Pydantic模型。

如果你在测试中有一个Pydantic模型，并且你想在测试时发送它的数据给应用，你可以使用在[JSON Compatible Encoder](encoder.md){.internal-link target=_blank}介绍的`jsonable_encoder` 。

///

## 运行起来

之后，你只需要安装 `pytest`:

<div class="termy">

По той же причине, есть множество совместимых инструментов, включая инструменты генерации кода для многих языков.

## Pydantic

Вся проверка данных выполняется под капотом с помощью <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a>. Поэтому вы можете быть уверены в качестве обработки данных.

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float = 10.5


items = {
    "foo": {"name": "Foo", "price": 50.2},
    "bar": {"name": "Bar", "description": "The Bar fighters", "price": 62, "tax": 20.2},
    "baz": {
        "name": "Baz",
        "description": "There goes my baz",

Das hat tatsächlich dazu geführt, dass Teile von Pydantic aktualisiert wurden, um denselben Validierungsdeklarationsstil zu unterstützen (diese gesamte Funktionalität ist jetzt bereits in Pydantic verfügbar).

///

### <a href="https://github.com/hugapi/hug" class="external-link" target="_blank">Hug</a>

                                    "title": "Ads Id",
                                }
                            )
                            | IsDict(
                                # TODO: remove when deprecating Pydantic v1
                                {"title": "Ads Id", "type": "string"}
                            ),
                            "name": "ads_id",
                            "in": "cookie",
                        }

from fastapi import Depends, FastAPI, HTTPException, status
from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
from pydantic import BaseModel

fake_users_db = {
    "johndoe": {
        "username": "johndoe",
        "full_name": "John Doe",
        "email": "******@****.***",
        "hashed_password": "fakehashedsecret",
        "disabled": False,
    },
    "alice": {
        "username": "alice",