response = client.get(
        "/items/",
        headers=[
            ("save-data", "true"),
            ("if-modified-since", "yesterday"),
            ("traceparent", "123"),
            ("x-tag", "one"),
            ("x-tag", "two"),
        ],
    )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "host": "testserver",
        "save_data": True,

    response = client.get(
        "/items/",
        headers=[
            ("save-data", "true"),
            ("if-modified-since", "yesterday"),
            ("traceparent", "123"),
            ("x-tag", "one"),
            ("x-tag", "two"),
        ],
    )
    assert response.status_code == 200
    assert response.json() == {
        "host": "testserver",
        "save_data": True,
        "if_modified_since": "yesterday",

    response = client.get(
        "/items/",
        headers=[
            ("save-data", "true"),
            ("if-modified-since", "yesterday"),
            ("traceparent", "123"),
            ("x-tag", "one"),
            ("x-tag", "two"),
        ],
    )
    assert response.status_code == 422
    assert response.json() == snapshot(
        {
            "detail": [
                {
                    "type": "missing",

def test_discriminator_pydantic_v2() -> None:
    from pydantic import Tag

    app = FastAPI()

    class FirstItem(BaseModel):
        value: Literal["first"]
        price: int

    class OtherItem(BaseModel):
        value: Literal["other"]
        price: float

    Item = Annotated[
        Union[Annotated[FirstItem, Tag("first")], Annotated[OtherItem, Tag("other")]],
        Field(discriminator="value"),
    ]

        {
            "openapi": "3.1.0",
            "info": {"title": "FastAPI", "version": "0.1.0"},
            "servers": [
                {"url": "/api/v1"},
                {
                    "url": "https://stag.example.com",
                    "description": "Staging environment",
                },
                {
                    "url": "https://prod.example.com",
                    "description": "Production environment",

    assert response.json() == snapshot(
        {
            "openapi": "3.1.0",
            "info": {"title": "FastAPI", "version": "0.1.0"},
            "servers": [
                {
                    "url": "https://stag.example.com",
                    "description": "Staging environment",
                },
                {
                    "url": "https://prod.example.com",
                    "description": "Production environment",

        - **name**: each item must have a name
        - **description**: a long description
        - **price**: required
        - **tax**: if the item doesn't have tax, you can omit this
        - **tags**: a set of unique tag strings for this item
    """).strip(),
}


@pytest.fixture(
    name="mod_name",
    params=[
        pytest.param("tutorial003_py39"),
        pytest.param("tutorial003_py310", marks=needs_py310),

* «the startup event»: «das Startup-Event»
* «the shutdown event»: «das Shutdown-Event»
* «the startup» (of the server): «das Hochfahren»
* «the startup» (the company): «das Startup»
* «the SDK»: «das SDK»
* «the tag»: «der Tag»
* «the type annotation»: «die Typannotation»
* «the type hint»: «der Typhinweis»
* «the wildcard»: «die Wildcard»
* «the worker class»: «die Workerklasse»
* «the worker class»: NOT «die Arbeiterklasse»

    # Using Any for Specification Extensions
    callbacks: Optional[dict[str, Union[dict[str, PathItem], Reference, Any]]] = None
    pathItems: Optional[dict[str, Union[PathItem, Reference]]] = None


class Tag(BaseModelWithConfig):
    name: str
    description: Optional[str] = None
    externalDocs: Optional[ExternalDocumentation] = None


class OpenAPI(BaseModelWithConfig):
    openapi: str
    info: Info

LARGE_ITEMS: list[dict[str, Any]] = [
    {
        "id": i,
        "name": f"item-{i}",
        "values": list(range(25)),
        "meta": {
            "active": True,
            "group": i % 10,
            "tag": f"t{i % 5}",
        },
    }
    for i in range(300)
]

LARGE_METADATA: dict[str, Any] = {
    "source": "benchmark",
    "version": 1,
    "flags": {"a": True, "b": False, "c": True},