### Importar `Query` y `Annotated` { #import-query-and-annotated }

Para lograr eso, primero importa:

* `Query` desde `fastapi`
* `Annotated` desde `typing`

{* ../../docs_src/query_params_str_validations/tutorial002_an_py310.py hl[1,3] *}

/// info | Información

FastAPI añadió soporte para `Annotated` (y empezó a recomendarlo) en la versión 0.95.0.

import json
import secrets
import subprocess
from collections.abc import Iterable
from functools import lru_cache
from os import sep as pathsep
from pathlib import Path
from typing import Annotated

import git
import typer
import yaml
from github import Github
from pydantic_ai import Agent
from rich import print

non_translated_sections = (
    f"reference{pathsep}",
    "release-notes.md",
    "fastapi-people.md",

### Создать код **FastAPI** { #create-the-fastapi-code }

* Создайте директорию `app` и перейдите в неё.
* Создайте пустой файл `__init__.py`.
* Создайте файл `main.py` со следующим содержимым:

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


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

### `Query` und `Annotated` importieren { #import-query-and-annotated }

Um dies zu erreichen, importieren Sie zuerst:

* `Query` von `fastapi`
* `Annotated` von `typing`

{* ../../docs_src/query_params_str_validations/tutorial002_an_py310.py hl[1,3] *}

/// info | Info

FastAPI hat Unterstützung für `Annotated` hinzugefügt (und begonnen, es zu empfehlen) in der Version 0.95.0.

### Importe `Query` e `Annotated` { #import-query-and-annotated }

Para isso, primeiro importe:

* `Query` de `fastapi`
* `Annotated` de `typing`

{* ../../docs_src/query_params_str_validations/tutorial002_an_py310.py hl[1,3] *}

/// info | Informação

O FastAPI adicionou suporte a `Annotated` (e passou a recomendá-lo) na versão 0.95.0.

from typing import Union

import pytest
from fastapi import FastAPI
from fastapi.exceptions import FastAPIError, ResponseValidationError
from fastapi.responses import JSONResponse, Response
from fastapi.testclient import TestClient
from pydantic import BaseModel


class BaseUser(BaseModel):
    name: str


class User(BaseUser):
    surname: str


class DBUser(User):
    password_hash: str


class Item(BaseModel):

I consider **FastAPI** a "spiritual successor" to APIStar, while improving and increasing the features, typing system, and other parts, based on the learnings from all these previous tools.

///

## Used by **FastAPI** { #used-by-fastapi }

///

### Crie o código do **FastAPI** { #create-the-fastapi-code }

* Crie um diretório `app` e entre nele.
* Crie um arquivo vazio `__init__.py`.
* Crie um arquivo `main.py` com:

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


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

还有其他文件格式和工具来定义和安装依赖项。

 我将在下面的部分中向你展示一个使用 Poetry 的示例。 👇

///

### 创建 **FastAPI** 代码

* 创建`app`目录并进入。
* 创建一个空文件`__init__.py`。
* 创建一个 `main.py` 文件：



```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


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

* 📝 Add more precise description of HTTP status code range in docs. PR [#13347](https://github.com/fastapi/fastapi/pull/13347) by [@DanielYang59](https://github.com/DanielYang59).
* 🔥 Remove manual type annotations in JWT tutorial to avoid typing expectations (JWT doesn't provide more types). PR [#13378](https://github.com/fastapi/fastapi/pull/13378) by [@tiangolo](https://github.com/tiangolo).