```

## Update the dependencies

Update `get_current_user` to receive the same token as before, but this time, using JWT tokens.

Decode the received token, verify it, and return the current user.

If the token is invalid, return an HTTP error right away.

=== "Python 3.10+"

    ```Python hl_lines="89-106"
    {!> ../../../docs_src/security/tutorial004_an_py310.py!}
    ```

=== "Python 3.9+"

async def get_burgers(number: int):
    # Fazer alguma coisa assíncrona para criar os hambúrgueres
    return burgers
```

...ao invés de `def`:

```Python hl_lines="2"
# Isso não é assíncrono
def get_sequential_burgers(number: int):
    # Faz alguma coisa sequencial para criar os hambúrgueres
    return burgers
```

from fastapi.testclient import TestClient


@pytest.fixture(name="app")
def get_app():
    from docs_src.request_forms_and_files.tutorial001_an import app

    return app


@pytest.fixture(name="client")
def get_client(app: FastAPI):
    client = TestClient(app)
    return client


def test_post_form_no_body(client: TestClient):
    response = client.post("/files/")
    assert response.status_code == 422, response.text

```Python hl_lines="1"
async def get_burgers(number: int):
    # Opérations asynchrones pour créer les burgers
    return burgers
```

...et non `def` :

```Python hl_lines="2"
# Ceci n'est pas asynchrone
def get_sequential_burgers(number: int):
    # Opérations asynchrones pour créer les burgers
    return burgers
```

from fastapi.testclient import TestClient

from ...utils import needs_py39


@pytest.fixture(name="client")
def get_client():
    from docs_src.security.tutorial005_py39 import app

    client = TestClient(app)
    return client


def get_access_token(
    *, username="johndoe", password="secret", scope=None, client: TestClient
):
    data = {"username": username, "password": password}
    if scope:
        data["scope"] = scope

    results = await some_library()
    return results
```

!!! note "備考"
    `async def` を使用して作成された関数の内部でしか `await` は使用できません。

---

データベース、API、ファイルシステムなどと通信し、`await` の使用をサポートしていないサードパーティライブラリ (現在のほとんどのデータベースライブラリに当てはまります) を使用している場合、次の様に、単に `def` を使用して通常通り *path operation 関数* を宣言してください:

```Python hl_lines="2"
@app.get('/')
def results():
    results = some_library()
    return results
```

---

* Crie um arquivo `main.py` com:

```Python
from fastapi import FastAPI

app = FastAPI()


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


@app.get("/items/{item_id}")
def read_item(item_id: int, q: str = None):
    return {"item_id": item_id, "q": q}
```

* Você deve ter uma estrutura de diretórios assim:

```
.
├── app
│   └── main.py
└── Dockerfile

from datetime import date

from pydantic import BaseModel

# Deklarieren Sie eine Variable als ein `str`
# und bekommen Sie Editor-Unterstütung innerhalb der Funktion
def main(user_id: str):
    return user_id


# Ein Pydantic-Modell
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Das kann nun wie folgt verwendet werden:

```Python

Those worker processes would be the ones running your application, they would perform the main computations to receive a **request** and return a **response**, and they would load anything you put in variables in RAM.

<img src="/img/deployment/concepts/process-ram.svg">

型を使用した標準的なPythonを記述します:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

これは以下のように用いられます:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")