"schema": {"title": "User Id", "type": "integer"},
                            "name": "user_id",
                            "in": "path",
                        }
                    ],
                    "requestBody": {
                        "content": {
                            "application/json": {
                                "schema": {"$ref": "#/components/schemas/ItemCreate"}

                            "schema": {"title": "User Id", "type": "integer"},
                            "name": "user_id",
                            "in": "path",
                        }
                    ],
                    "requestBody": {
                        "content": {
                            "application/json": {
                                "schema": {"$ref": "#/components/schemas/ItemCreate"}

}

// ParseUniqueConstraints parse schema unique constraints
func (schema *Schema) ParseUniqueConstraints() map[string]UniqueConstraint {
	uniques := make(map[string]UniqueConstraint)
	for _, field := range schema.Fields {
		if field.Unique {
			name := schema.namer.UniqueName(schema.Table, field.DBName)
			uniques[name] = UniqueConstraint{Name: name, Field: field}
		}
	}

                            "content": {"application/json": {"schema": {}}},
                        },
                        "422": {
                            "description": "Validation Error",
                            "content": {
                                "application/json": {
                                    "schema": {

	"gorm.io/gorm"
	"gorm.io/gorm/clause"
	"gorm.io/gorm/schema"
)

var schemaCache = &sync.Map{}

func TestConvertToCreateValues_DestType_Slice(t *testing.T) {
	type user struct {
		ID    int `gorm:"primaryKey"`
		Name  string
		Email string `gorm:"default:(-)"`
		Age   int    `gorm:"default:(-)"`
	}

	s, err := schema.Parse(&user{}, schemaCache, schema.NamingStrategy{})
	if err != nil {

            deprecated=deprecated,
            example=example,
            examples=examples,
            openapi_examples=openapi_examples,
            include_in_schema=include_in_schema,
            json_schema_extra=json_schema_extra,
            **extra,
        )


class Query(Param):
    in_ = ParamTypes.query

    def __init__(
        self,
        default: Any = Undefined,

                            "content": {"application/json": {"schema": {}}},
                        },
                        "422": {
                            "description": "Validation Error",
                            "content": {
                                "application/json": {
                                    "schema": {

        decimal_places=decimal_places,
        example=example,
        examples=examples,
        openapi_examples=openapi_examples,
        deprecated=deprecated,
        include_in_schema=include_in_schema,
        json_schema_extra=json_schema_extra,
        **extra,
    )


def Query(  # noqa: N802
    default: Annotated[
        Any,
        Doc(
            """

```

### Das OpenAPI-Schema generieren

Verwenden Sie dann dieselbe Hilfsfunktion, um das OpenAPI-Schema innerhalb einer `custom_openapi()`-Funktion zu generieren:

```Python hl_lines="2  15-21"
{!../../../docs_src/extending_openapi/tutorial001.py!}
```

### Das OpenAPI-Schema ändern

Jetzt können Sie die ReDoc-Erweiterung hinzufügen und dem `info`-„Objekt“ im OpenAPI-Schema ein benutzerdefiniertes `x-logo` hinzufügen:

    ```

!!! info
    In Pydantic version 1 the method to get the JSON Schema for a model was called `Item.schema()`, in Pydantic version 2, the method is called `Item.model_json_schema()`.

Nevertheless, although we are not using the default integrated functionality, we are still using a Pydantic model to manually generate the JSON Schema for the data that we want to receive in YAML.