## Pathのインポート

まず初めに、`fastapi`から`Path`をインポートします:

```Python hl_lines="1"
{!../../../docs_src/path_params_numeric_validations/tutorial001.py!}
```

## メタデータの宣言

パラメータは`Query`と同じものを宣言することができます。

例えば、パスパラメータ`item_id`に対して`title`のメタデータを宣言するには以下のようにします:

```Python hl_lines="8"
{!../../../docs_src/path_params_numeric_validations/tutorial001.py!}
```

!!! note "備考"
    パスの一部でなければならないので、パスパラメータは常に必須です。

                        ),
                        "price": {"title": "Price", "type": "number"},
                        "tax": IsDict(
                            {
                                "title": "Tax",
                                "anyOf": [{"type": "number"}, {"type": "null"}],
                            }
                        )
                        | IsDict(

Sie können sehen, dass:

* Der Gunicorn **Prozessmanager** beginnt, mit der PID `19499` (in Ihrem Fall ist es eine andere Nummer).
* Dann beginnt er zu lauschen: `Listening at: http://0.0.0.0:80`.
* Dann erkennt er, dass er die Workerklasse `uvicorn.workers.UvicornWorker` verwenden muss.

```Python hl_lines="1"
async def get_burgers(number: int):
    # Do some asynchronous stuff to create the burgers
    return burgers
```

...`def`를 사용하는 대신:

```Python hl_lines="2"
# This is not asynchronous
def get_sequential_burgers(number: int):
    # Do some sequential stuff to create the burgers
    return burgers
```

    ```Python hl_lines="1  3"
    {!> ../../../docs_src/path_params_numeric_validations/tutorial001_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="1  3"
    {!> ../../../docs_src/path_params_numeric_validations/tutorial001_an_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="3-4"
    {!> ../../../docs_src/path_params_numeric_validations/tutorial001_an.py!}
    ```

        {
            "detail": [
                {
                    "type": "float_parsing",
                    "loc": ["body", "price"],
                    "msg": "Input should be a valid number, unable to parse string as a number",
                    "input": "invalid price",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [

                            "type": "number",
                            "description": "The price must be greater than zero",
                        },
                        "tax": IsDict(
                            {
                                "title": "Tax",
                                "anyOf": [{"type": "number"}, {"type": "null"}],
                            }
                        )

                        ),
                        "price": {"title": "Price", "type": "number"},
                        "tax": IsDict(
                            {
                                "title": "Tax",
                                "anyOf": [{"type": "number"}, {"type": "null"}],
                            }
                        )
                        | IsDict(

                {
                    "ctx": {"limit_value": 0.0},
                    "loc": ["body", 0, "age"],
                    "msg": "ensure this value is greater than 0",
                    "type": "value_error.number.not_gt",
                }
            ]
        }
    )


def test_put_incorrect_body_multiple():
    response = client.post("/items/", json=[{"age": "five"}, {"age": "six"}])

Pero como te alejas del mostrador y te sientas en la mesa con un número para tu turno, puedes cambiar tu atención 🔀 a esa persona 😍 y "trabajar" ⏯ 🤓 en eso. Entonces nuevamente estás haciendo algo muy "productivo" 🤓, como coquetear con esa persona 😍.