///

`response_model` принимает те же типы, которые можно указать для какого-либо поля в модели Pydantic. Таким образом, это может быть как одиночная модель Pydantic, так и `список (list)` моделей Pydantic. Например, `List[Item]`.

Vous pouvez le faire avec `openapi_extra` :

```Python hl_lines="20-37 39-40"
{!../../docs_src/path_operation_advanced_configuration/tutorial006.py !}
```

        ```
    validations:
      required: true
  - type: input
    id: pydantic-version
    attributes:
      label: Pydantic Version
      description: |
        What Pydantic version are you using?

        You can find the Pydantic version with:

        ```bash
        python -c "import pydantic; print(pydantic.version.VERSION)"
        ```
    validations:
      required: true
  - type: input

                    "msg": "Field required",
                    "input": {"username": "Foo"},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["body", "password"],
                    "msg": "field required",
                    "type": "value_error.missing",

                    "msg": "Field required",
                    "input": None,
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["body", "password"],
                    "msg": "field required",
                    "type": "value_error.missing",

                    "msg": "Field required",
                    "input": None,
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["body", "password"],
                    "msg": "field required",
                    "type": "value_error.missing",

                    "msg": "Field required",
                    "input": None,
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["body", "password"],
                    "msg": "field required",
                    "type": "value_error.missing",

## Pydantic Modelle

<a href="https://pydantic-docs.helpmanual.io/" class="external-link" target="_blank">Pydantic</a> ist eine Python-Bibliothek für die Validierung von Daten.

Sie deklarieren die „Form“ der Daten als Klassen mit Attributen.

Und jedes Attribut hat einen Typ.

def test_openapi_schema():
    """
    Test that example overrides work:

    * pydantic model schema_extra is included
    * Body(example={}) overrides schema_extra in pydantic model
    * Body(examples{}) overrides Body(example={}) and schema_extra in pydantic model
    """
    app = create_app()
    client = TestClient(app)
    response = client.get("/openapi.json")

    assert response.status_code == 400, response.text
    # TODO: remove when deprecating Pydantic v1
    assert (
        # TODO: remove when deprecating Pydantic v1
        "path -> item_id" in response.text
        or "'loc': ('path', 'item_id')" in response.text
    )
    assert (
        # TODO: remove when deprecating Pydantic v1
        "value is not a valid integer" in response.text