def test_openapi():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    openapi_schema = response.json()

    assert openapi_schema["components"]["schemas"]["MyModel"]["description"] == (
        "A model with a form feed character in the title.\n"

)
def test_required_list_str_schema(path: str):
    openapi = app.openapi()
    body_model_name = get_body_model_name(openapi, path)

    assert app.openapi()["components"]["schemas"][body_model_name] == {
        "properties": {
            "p": {
                "items": {"type": "string"},
                "title": "P",
                "type": "array",
            },
        },

    ["/optional-str", "/model-optional-str"],
)
def test_optional_str_schema(path: str):
    openapi = app.openapi()
    body_model_name = get_body_model_name(openapi, path)

    assert app.openapi()["components"]["schemas"][body_model_name] == {
        "properties": {
            "p": {
                "anyOf": [{"type": "string"}, {"type": "null"}],
                "title": "P",
            },
        },

    url: AnyUrl


# Ref JSON Schema 2020-12: https://json-schema.org/draft/2020-12/json-schema-validation#name-type
SchemaType = Literal[
    "array", "boolean", "integer", "null", "number", "object", "string"
]


class Schema(BaseModelWithConfig):
    # Ref: JSON Schema 2020-12: https://json-schema.org/draft/2020-12/json-schema-core.html#name-the-json-schema-core-vocabu
    # Core Vocabulary

    page.get_by_role("button", name="Item-Output").click()
    page.set_viewport_size({"width": 960, "height": 820})
    # Manually add the screenshot
    page.screenshot(
        path="docs/en/docs/img/tutorial/separate-openapi-schemas/image04.png"
    )
    # ---------------------
    context.close()
    browser.close()


process = subprocess.Popen(
    ["uvicorn", "docs_src.separate_openapi_schemas.tutorial001:app"]
)
try:

        },
    },
}


def test_custom_response_schema():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json()["components"]["schemas"]["Item"] == item_schema


def test_response():
    # For coverage
    response = client.get("/foo")
    assert response.status_code == 200, response.text

    page.set_viewport_size({"width": 960, "height": 700})
    # Manually add the screenshot
    page.screenshot(
        path="docs/en/docs/img/tutorial/separate-openapi-schemas/image05.png"
    )

    # ---------------------
    context.close()
    browser.close()


process = subprocess.Popen(
    ["uvicorn", "docs_src.separate_openapi_schemas.tutorial002:app"]
)
try:

    page.get_by_role("button", name="Try it out").click()
    page.get_by_role("button", name="Execute").click()
    # Manually add the screenshot
    page.screenshot(
        path="docs/en/docs/img/tutorial/separate-openapi-schemas/image02.png"
    )

    # ---------------------
    context.close()
    browser.close()


process = subprocess.Popen(
    ["uvicorn", "docs_src.separate_openapi_schemas.tutorial001:app"]
)
try:

Dennoch können wir das zu erwartende Schema für den Requestbody deklarieren.

### Benutzerdefinierter OpenAPI-Content-Type { #custom-openapi-content-type }

Mit demselben Trick könnten Sie ein Pydantic-Modell verwenden, um das JSON-Schema zu definieren, das dann im benutzerdefinierten Abschnitt des OpenAPI-Schemas für die *Pfadoperation* enthalten ist.

* Générer des définitions <a href="https://json-schema.org" class="external-link" target="_blank">JSON Schema</a> pour votre modèle, qui peuvent être utilisées où vous en avez besoin dans votre projet ensuite.
* Ces schémas participeront à la constitution du schéma généré OpenAPI, et seront donc utilisés par les documentations automatiquement générées.

## Documentation automatique