AssertEqual(t, err, gorm.ErrPrimaryKeyRequired)
}

type (
	myType           string
	emptyQueryClause struct {
		Field *schema.Field
	}
)

func (myType) QueryClauses(f *schema.Field) []clause.Interface {
	return []clause.Interface{emptyQueryClause{Field: f}}
}

func (sd emptyQueryClause) Name() string {
	return "empty"
}

* [**JSON Schema**](https://json-schema.org/) によるデータモデルの自動ドキュメント化（OpenAPI 自体が JSON Schema に基づいています）。
* 入念な調査のうえ、これらの標準を中心に設計されています。後付けのレイヤーではありません。
* これにより、多くの言語で自動 **クライアントコード生成** が可能です。

### 自動ドキュメント { #automatic-docs }

## URL OpenAPI { #openapi-url }

Par défaut, le schéma OpenAPI est servi à `/openapi.json`.

Mais vous pouvez le configurer avec le paramètre `openapi_url`.

Par exemple, pour qu’il soit servi à `/api/v1/openapi.json` :

{* ../../docs_src/metadata/tutorial002_py310.py hl[3] *}

* the automatic docs

* Data Science
* Deep Learning
* Machine Learning
* Dependency Injection
* HTTP Basic authentication
* HTTP Digest
* ISO format
* the JSON Schema standard
* the JSON schema
* the schema definition
* Password Flow
* Mobile

* deprecated
* designed
* invalid
* on the fly
* standard
* default
* case-sensitive
* case-insensitive

                        "responses": {
                            "200": {
                                "description": "Successful Response",
                                "content": {"application/json": {"schema": {}}},
                            }
                        },
                        "summary": "Read Current User",
                        "operationId": "read_current_user_users_me_get",

                        "responses": {
                            "200": {
                                "description": "Successful Response",
                                "content": {"application/json": {"schema": {}}},
                            }
                        },
                        "summary": "Read Current User",
                        "operationId": "read_current_user_users_me_get",

                        "responses": {
                            "200": {
                                "description": "Successful Response",
                                "content": {"application/json": {"schema": {}}},
                            }
                        },
                        "summary": "Read Current User",
                        "operationId": "read_current_user_users_me_get",

                        "responses": {
                            "200": {
                                "description": "Successful Response",
                                "content": {"application/json": {"schema": {}}},
                            }
                        },
                        "security": [
                            {"OAuth2AuthorizationCodeBearer": ["read", "write"]}
                        ],

{* ../../docs_src/body_nested_models/tutorial005_py310.py hl[2,8] *}

Es wird getestet, ob der String eine gültige URL ist, und als solche wird er in JSON Schema / OpenAPI dokumentiert.

## Attribute mit Listen von Kindmodellen { #attributes-with-lists-of-submodels }

Sie können Pydantic-Modelle auch als Typen innerhalb von `list`, `set`, usw. verwenden:

)
def test_schema(path: str, expected_name: str, expected_title: str):
    assert app.openapi()["paths"][path]["get"]["parameters"] == snapshot(
        [
            {
                "required": True,
                "schema": {"title": Is(expected_title), "type": "string"},
                "name": Is(expected_name),
                "in": "path",
            }
        ]
    )


@pytest.mark.parametrize(
    "path",
    [