response = client.get("/models/alexnet")
    assert response.status_code == 200
    assert response.json() == {"model_name": "alexnet", "message": "Deep Learning FTW!"}


def test_get_enums_lenet():
    response = client.get("/models/lenet")
    assert response.status_code == 200
    assert response.json() == {"model_name": "lenet", "message": "LeCNN all the images"}


def test_get_enums_resnet():

    response = client.post("/items/?q=first", json={"value": "first", "price": 100})
    assert response.status_code == 200, response.text
    assert response.json() == {"item": {"value": "first", "price": 100}}

    response = client.post("/items/?q=other", json={"value": "other", "price": 100.5})
    assert response.status_code == 200, response.text
    assert response.json() == {"item": {"value": "other", "price": 100.5}}

    client.headers.clear()
    return client


def test_get(client: TestClient):
    response = client.post(
        "/invoices/", json={"id": "fooinvoice", "customer": "John", "total": 5.3}
    )
    assert response.status_code == 200, response.text
    assert response.json() == {"msg": "Invoice received"}


def test_dummy_callback(mod: ModuleType):
    # Just for coverage
    mod.invoice_notification({})

	Host          string                        `json:"host"`
	Err           string                        `json:"err,omitempty"`
	WaitingDrives map[string]madmin.DiskMetrics `json:"waitingDrives,omitempty"`
}

type serviceResult struct {
	Action  madmin.ServiceAction `json:"action"`
	DryRun  bool                 `json:"dryRun"`
	Results []servicePeerResult  `json:"results,omitempty"`
}

        assert response.status_code == 200, response.text
        assert response.json() == snapshot(
            {"age": 30, "id": IsInt(), "name": "Dead Pond"}
        )
        assert response.json()["id"] != 9000, (
            "The ID should be generated by the database"
        )

        # Read a hero
        hero_id = response.json()["id"]
        response = client.get(f"/heroes/{hero_id}")

    assert response.status_code == 200, response.text
    assert response.json() == {"name": "John", "surname": "Doe"}


def test_no_response_model_no_annotation_return_dict():
    response = client.get("/no_response_model-no_annotation-return_dict")
    assert response.status_code == 200, response.text
    assert response.json() == {"name": "John", "surname": "Doe"}

    client = TestClient(app)
    response = client.post(path, json={})
    assert response.status_code == 200, response.text
    assert response.json() == {"p": None}


@pytest.mark.parametrize(
    "path",
    ["/optional-str", "/model-optional-str"],
)
def test_optional_str(path: str):
    client = TestClient(app)
    response = client.post(path, json={"p": "hello"})
    assert response.status_code == 200

///

## Paramètres multiples du body

Dans l'exemple précédent, les opérations de routage attendaient un body JSON avec les attributs d'un `Item`, par exemple :

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2
}
```

        try (InputStream is = getClass().getClassLoader().getResourceAsStream("suggest_indices/suggest.json")) {
            assertNotNull("Settings resource should exist", is);
            final String settings = new String(is.readAllBytes(), StandardCharsets.UTF_8);

            // Verify it's a valid JSON structure
            assertTrue("Settings should be JSON", settings.trim().startsWith("{"));
        }
    }

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:

{* ../../docs_src/body_nested_models/tutorial006_py310.py hl[18] *}

Das wird einen JSON-Body erwarten (konvertieren, validieren, dokumentieren, usw.) wie: