Pour ces cas, vous pouvez spécifier un appel à `jsonable_encoder` pour convertir vos données avant de les passer à une réponse :

```Python hl_lines="6-7  21-22"
{!../../../docs_src/response_directly/tutorial001.py!}
```

!!! note "Détails techniques"
    Vous pouvez aussi utiliser `from starlette.responses import JSONResponse`.

@needs_py39
def test_verify_password():
    from docs_src.security.tutorial005_an_py39 import fake_users_db, verify_password

    assert verify_password("secret", fake_users_db["johndoe"]["hashed_password"])


@needs_py39
def test_get_password_hash():
    from docs_src.security.tutorial005_an_py39 import get_password_hash

    assert get_password_hash("secretalice")


@needs_py39

@needs_py310
def test_verify_password():
    from docs_src.security.tutorial005_py310 import fake_users_db, verify_password

    assert verify_password("secret", fake_users_db["johndoe"]["hashed_password"])


@needs_py310
def test_get_password_hash():
    from docs_src.security.tutorial005_py310 import get_password_hash

    assert get_password_hash("secretalice")


@needs_py310

            first_child = new_children[0]
            if isinstance(first_child, Page):
                if first_child.file.src_path.endswith("index.md"):
                    # Read the source so that the title is parsed and available
                    first_child.read_source(config=config)
                    new_title = first_child.title or new_title
            # Creating a new section makes it render it collapsed by default

Se você quiser declarar o parâmetro de consulta `q` sem um `Query` nem um valor padrão, e o parâmetro de rota `item_id` usando `Path`, e definí-los em uma ordem diferente, Python tem um pequeno truque na sintaxe para isso.

Passe `*`, como o primeiro parâmetro da função.

Then we use the request directly, and extract the body as `bytes`. This means that FastAPI won't even try to parse the request payload as JSON.

And then in our code, we parse that YAML content directly, and then we are again using the same Pydantic model to validate the YAML content:

=== "Pydantic v2"

    ```Python hl_lines="26-33"

    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["path", "item_id"],
                    "msg": "value could not be parsed to a boolean",
                    "type": "type_error.bool",
                }
            ]
        }
    )


def test_path_bool_True():
    response = client.get("/path/bool/True")

```

### Declare a `List` com um parâmetro de tipo

Para declarar tipos que têm parâmetros de tipo(tipos internos), como `list`, `dict`, `tuple`:

* Importe os do modulo `typing`
* Passe o(s) tipo(s) interno(s) como "parâmetros de tipo" usando colchetes: `[` e `]`

```Python
from typing import List

my_list: List[str]
```

Essa é a sintaxe padrão do Python para declarações de tipo.

    Undefined = PydanticUndefined
    UndefinedType = PydanticUndefinedType
    evaluate_forwardref = eval_type_lenient
    Validator = Any

    class BaseConfig:
        pass

    class ErrorWrapper(Exception):
        pass

    @dataclass
    class ModelField:
        field_info: FieldInfo
        name: str
        mode: Literal["validation", "serialization"] = "validation"

        @property

2. Führe Uvicorn aus und weisen es an, das `app`-Objekt von `main` zu importieren (anstatt von `app.main` zu importieren).

Passen Sie dann den Uvicorn-Befehl an, um das neue Modul `main` anstelle von `app.main` zu verwenden, um das FastAPI-Objekt `app` zu importieren.

## Deployment-Konzepte

Lassen Sie uns noch einmal über einige der gleichen [Deployment-Konzepte](concepts.md){.internal-link target=_blank} in Bezug auf Container sprechen.