def get_user(db, username: str):
    if username in db:
        user_dict = db[username]
        return UserInDB(**user_dict)


def fake_decode_token(token):
    # This doesn't provide any security at all
    # Check the next version
    user = get_user(fake_users_db, token)
    return user


async def get_current_user(token: Annotated[str, Depends(oauth2_scheme)]):
    user = fake_decode_token(token)

✋️ 🕐 👆 🔨, 👆 💪 💯 ⚫️ 🌐 ⚫️ 🔜 👀 💳.

👈, 🥇 🏗 🌐 🩺:

<div class="termy">

```console
// Use the command "build-all", this will take a bit
$ python ./scripts/docs.py build-all

Updating es
Updating en
Building docs for: en
Building docs for: es
Successfully built docs for: es
Copying en index.md to README.md
```

</div>

## Встановлення FastAPI

Першим кроком є встановлення FastAPI.

Для туторіалу ви можете встановити його з усіма необов’язковими залежностями та функціями:

<div class="termy">

```console
$ pip install "fastapi[all]"

---> 100%
```

</div>

...який також включає `uvicorn`, який ви можете використовувати як сервер, який запускає ваш код.

!!! note
    Ви також можете встановити його частина за частиною.

In this case, the original path `/app` would actually be served at `/api/v1/app`.

Even though all your code is written assuming there's just `/app`.

```Python hl_lines="6"
{!../../../docs_src/behind_a_proxy/tutorial001.py!}
```

## Instale o FastAPI

O primeiro passo é instalar o FastAPI.

Para o tutorial, você deve querer instalá-lo com todas as dependências e recursos opicionais.

<div class="termy">

```console
$ pip install "fastapi[all]"

---> 100%
```

</div>

...isso também inclui o `uvicorn`, que você pode usar como o servidor que rodará seu código.

!!! note "Nota"
    Você também pode instalar parte por parte.

@needs_py310
def test_get_car(client: TestClient):
    response = client.get("/items/item1")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "description": "All my friends drive a low rider",
        "type": "car",
    }


@needs_py310
def test_get_plane(client: TestClient):
    response = client.get("/items/item2")
    assert response.status_code == 200, response.text

---

## FastAPI 설치

첫 번째 단계는 FastAPI를 설치하는 것입니다.

자습시에는 모든 선택적인 의존성 및 기능을 함께 설치하는 것을 추천합니다:

<div class="termy">

```console
$ pip install "fastapi[all]"

---> 100%
```

</div>

...이는 코드를 실행하는 서버로 사용할 수 있는 `uvicorn` 또한 포함하고 있습니다.

!!! note "참고"
    부분적으로 설치할 수도 있습니다.

    애플리케이션을 운영 환경에 배포하려는 경우 다음과 같이 합니다:

    ```

The same way, there are many compatible tools. Including code generation tools for many languages.

## Pydantic

All the data validation is performed under the hood by <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a>, so you get all the benefits from it. And you know you are in good hands.

You can use the same type declarations with `str`, `float`, `bool` and many other complex data types.

If you need or want to work with **GraphQL**, <a href="https://strawberry.rocks/" class="external-link" target="_blank">**Strawberry**</a> is the **recommended** library as it has the design closest to **FastAPI's** design, it's all based on **type annotations**.

Depending on your use case, you might prefer to use a different library, but if you asked me, I would probably suggest you try **Strawberry**.

    **FastAPI** provides the same `starlette.testclient` as `fastapi.testclient` just as a convenience for you, the developer. But it comes directly from Starlette.

!!! tip
    If you want to call `async` functions in your tests apart from sending requests to your FastAPI application (e.g. asynchronous database functions), have a look at the [Async Tests](../advanced/async-tests.md){.internal-link target=_blank} in the advanced tutorial.