Wenn wir also ein Pydantic-Objekt `user_in` erstellen, etwa so:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

und dann aufrufen:

```Python
user_dict = user_in.model_dump()
```

haben wir jetzt ein `dict` mit den Daten in der Variablen `user_dict` (es ist ein `dict` statt eines Pydantic-Modellobjekts).

client = TestClient(app)


@pytest.mark.parametrize(
    ("user_id", "expected_response"),
    [
        ("me", {"user_id": "the current user"}),
        ("alice", {"user_id": "alice"}),
    ],
)
def test_get_users(user_id: str, expected_response: dict):
    response = client.get(f"/users/{user_id}")
    assert response.status_code == 200, response.text
    assert response.json() == expected_response

@user_router.get("/")
def get_users():
    return [{"user_id": "u1"}, {"user_id": "u2"}]


@user_router.get("/{user_id}")
def get_user(user_id: str):
    return {"user_id": user_id}


@item_router.get("/")
def get_items(user_id: Optional[str] = None):
    if user_id is None:
        return [{"item_id": "i1", "user_id": "u1"}, {"item_id": "i2", "user_id": "u2"}]
    else:

                    },
                }
            }
        },
        "components": {
            "schemas": {
                "UserIn": {
                    "title": "UserIn",
                    "required": ["username", "password", "email"],
                    "type": "object",
                    "properties": {
                        "username": {"title": "Username", "type": "string"},

                    },
                }
            }
        },
        "components": {
            "schemas": {
                "UserIn": {
                    "title": "UserIn",
                    "required": IsList(
                        "username", "password", "email", check_order=False
                    ),
                    "type": "object",
                    "properties": {

        "paths": {
            "/users/{user_id}/items/{item_id}": {
                "get": {
                    "summary": "Read User Item",
                    "operationId": "read_user_item_users__user_id__items__item_id__get",
                    "parameters": [
                        {
                            "required": True,
                            "schema": {"title": "User Id", "type": "integer"},

```Python
def get_current_user(token: str):
    # authenticate user
    return User()


@app.get("/items/")
def read_items(user: User = Depends(get_current_user)):
    ...


@app.post("/items/")
def create_item(*, user: User = Depends(get_current_user), item: Item):
    ...


@app.get("/items/{item_id}")
def read_item(*, user: User = Depends(get_current_user), item_id: int):
    ...