///

Wenn Sie dann eine Instanz dieser `Settings`-Klasse erstellen (in diesem Fall als `settings`-Objekt), liest Pydantic die Umgebungsvariablen ohne Berücksichtigung der Groß- und Kleinschreibung. Eine Variable `APP_NAME` in Großbuchstaben wird also als Attribut `app_name` gelesen.

    return main_mod


def test_settings(main_mod: ModuleType, monkeypatch: MonkeyPatch):
    monkeypatch.setenv("ADMIN_EMAIL", "******@****.***")
    settings = main_mod.get_settings()
    assert settings.app_name == "Awesome API"
    assert settings.admin_email == "******@****.***"
    assert settings.items_per_user == 50


def test_endpoint(main_mod: ModuleType, monkeypatch: MonkeyPatch):

    return mod.app


def test_settings(app):
    client = TestClient(app)
    response = client.get("/info")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "app_name": "Awesome API",
        "admin_email": "******@****.***",
        "items_per_user": 50,

            "input": {},
            "url": IsAnyStr,
        }
    ]


def test_app(client: TestClient):
    response = client.get("/info")
    data = response.json()
    assert data == {
        "app_name": "Awesome API",
        "admin_email": "******@****.***",
        "items_per_user": 50,
    }


def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")