def test_main():
    response = client.get("/app")
    assert response.status_code == 200
    assert response.json() == {"message": "Hello World", "root_path": "/api/v1"}


def test_openapi():
    response = client.get("/openapi.json")
    assert response.status_code == 200
    assert response.json() == {
        "openapi": "3.1.0",
        "info": {"title": "FastAPI", "version": "0.1.0"},
        "paths": {

    assert response.status_code == 200, response.text
    assert response.json() == {"width": 3, "length": 4, "area": 12}


@pytest.mark.parametrize("client", [True, False], indirect=True)
def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "openapi": "3.1.0",

    response = client.get("/items/")
    assert response.status_code == 200
    assert response.json() == {
        "message": "Hello Items!",
        "params": {"q": None, "skip": 5, "limit": 10},
    }


def test_override_in_items_with_q():
    response = client.get("/items/?q=foo")
    assert response.status_code == 200
    assert response.json() == {
        "message": "Hello Items!",

Например, модель выше описывает такой JSON "объект" (или Python `dict`):

```JSON
{
    "name": "Foo",
    "description": "An optional description",
    "price": 45.2,
    "tax": 3.5
}
```

...так как `description` и `tax` являются необязательными (со значением по умолчанию `None`), такой JSON "объект" тоже будет корректным:

```JSON
{
    "name": "Foo",
    "price": 45.2
}
```

    assert response.json()["code"] == 200
    assert response.json()["message"] == "Successful operation."


def test_response_model_has_default_factory_return_model():
    response = client.get("/response_model_has_default_factory_return_model")

    assert response.status_code == 200, response.text

    assert response.json()["code"] == 200

    response = client.get("/items/")
    assert response.status_code == 200
    assert response.json() == {
        "message": "Hello Items!",
        "params": {"q": None, "skip": 5, "limit": 10},
    }


def test_override_in_items_with_q():
    response = client.get("/items/?q=foo")
    assert response.status_code == 200
    assert response.json() == {
        "message": "Hello Items!",

And you could do this even if the data type in the request is not JSON.

For example, in this application we don't use FastAPI's integrated functionality to extract the JSON Schema from Pydantic models nor the automatic validation for JSON. In fact, we are declaring the request content type as YAML, not JSON:

{* ../../docs_src/path_operation_advanced_configuration/tutorial007_py39.py hl[15:20, 22] *}

    assert response.status_code == 404
    assert response.json() == {"detail": "Item not found"}


def test_create_item():
    response = client.post(
        "/items/",
        headers={"X-Token": "coneofsilence"},
        json={"id": "foobar", "title": "Foo Bar", "description": "The Foo Barters"},
    )
    assert response.status_code == 200
    assert response.json() == {
        "id": "foobar",
        "title": "Foo Bar",

    assert response.status_code == 404
    assert response.json() == {"detail": "Item not found"}


def test_create_item():
    response = client.post(
        "/items/",
        headers={"X-Token": "coneofsilence"},
        json={"id": "foobar", "title": "Foo Bar", "description": "The Foo Barters"},
    )
    assert response.status_code == 200
    assert response.json() == {
        "id": "foobar",
        "title": "Foo Bar",

irá verificar cada item dentro do dicionário e garantir que ele seja serializável para JSON, utilizando o mesmo[Codificador Compatível com JSON](../tutorial/encoder.md){.internal-link target=_blank} explicado no tutorial. Isso permite que você retorne **objetos abstratos**, como modelos do banco de dados, por exemplo.

Mas se você tem certeza que o conteúdo que você está retornando é **serializável com JSON**, você pode passá-lo diretamente para a classe de resposta e evitar o trabalho extra...