# Just for coverage
    new_subscription(body={}, token="Bearer 123")


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

En ese caso haría referencia a los atributos del JSON, los tipos de datos que tiene, etc.

#### OpenAPI y JSON Schema

OpenAPI define un schema de API para tu API. Ese schema incluye definiciones (o "schemas") de los datos enviados y recibidos por tu API usando **JSON Schema**, el estándar para los schemas de datos en JSON.

#### Revisa el `openapi.json`

Nesse caso, significaria os atributos JSON e os tipos de dados que eles possuem, etc.

#### OpenAPI e JSON *Schema*

OpenAPI define um *schema* de API para sua API. E esse *schema* inclui definições (ou "*schemas*") dos dados enviados e recebidos por sua API usando **JSON *Schema***, o padrão para *schemas* de dados JSON.

#### Verifique o `openapi.json`

    assert response.status_code == 400, response.text
    assert response.json() == {"detail": "X-Token header invalid"}


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",
        "info": {"title": "FastAPI", "version": "0.1.0"},
        "paths": {

    response.raise_for_status()
    assert response.json() == {
        "name": "valid",
        "date": datetime(2021, 7, 26).isoformat(),
        "price": 1.0,
        "owner_ids": None,
    }


def test_object():
    response = client.get("/items/object")
    response.raise_for_status()
    assert response.json() == {
        "name": "object",
        "date": datetime(2021, 7, 26).isoformat(),

    response = client.get("/items/")
    assert response.status_code == 200, response.text
    assert response.json() == [{"item_id": "Foo"}]


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

def test_get():
    response = client.get("/items/")
    assert response.status_code == 200, response.text
    assert response.json() == [{"item_id": "Foo"}]


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

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.

Und Sie könnten dies auch tun, wenn der Datentyp in der Anfrage nicht JSON ist.

    response = client.put(
        "/items/5",
        json={
            "name": "Foo",
            "description": "A very nice Item",
            "price": 35.4,
            "tax": 3.2,
        },
    )
    assert response.status_code == 200


@needs_py310
def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text

    response = client.put(
        "/items/5",
        json={
            "name": "Foo",
            "description": "A very nice Item",
            "price": 35.4,
            "tax": 3.2,
        },
    )
    assert response.status_code == 200


def test_openapi_schema(client: TestClient) -> None:
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text