}
            },
            "/level1/level2/level3/level4/override5": {
                "get": {
                    "tags": [
                        "level1a",
                        "level1b",
                        "level2a",
                        "level2b",
                        "level3a",
                        "level3b",
                        "level4a",
                        "level4b",

```Python hl_lines="11  14-16"
{!../../../docs_src/sub_applications/tutorial001.py!}
```

### Die Unteranwendung mounten

Mounten Sie in Ihrer Top-Level-Anwendung `app` die Unteranwendung `subapi`.

In diesem Fall wird sie im Pfad `/subapi` gemountet:

```Python hl_lines="11  19"
{!../../../docs_src/sub_applications/tutorial001.py!}
```

    ```

!!! info
    Notice how `Offer` has a list of `Item`s, which in turn have an optional list of `Image`s

## Bodies of pure lists

If the top level value of the JSON body you expect is a JSON `array` (a Python `list`), you can declare the type in the parameter of the function, the same as in Pydantic models:

```Python
images: List[Image]
```

That information will be included in the generated OpenAPI and used by the documentation user interfaces and external tools.

!!! note
    Keep in mind that different tools might have different levels of OpenAPI support.

    Some of them might not show all the extra information declared yet, although in most of the cases, the missing feature is already planned for development.

You can add a `title`:

    name: str

    if PYDANTIC_V2:
        model_config = {
            "json_schema_extra": {
                "x-something-internal": {"level": 4},
            }
        }
    else:

        class Config:
            schema_extra = {
                "x-something-internal": {"level": 4},
            }


@app.get("/foo", response_model=Item)
def foo():
    return {"name": "Foo item"}

            ) && !oauth2.auth.code) {
                if (!isValid) {
                    oauth2.errCb({
                        authId: oauth2.auth.name,
                        source: "auth",
                        level: "warning",
                        message: "Authorization may be unsafe, passed state was changed in server. The passed state wasn't returned from auth server."
                    });
                }

    title: Seamless FastAPI Configuration with ConfZ
  - author: Kaustubh Gupta
    author_link: https://medium.com/@kaustubhgupta1828/
    link: https://levelup.gitconnected.com/5-advance-features-of-fastapi-you-should-try-7c0ac7eebb3e
    title: 5 Advanced Features of FastAPI You Should Try
  - author: Kaustubh Gupta
    author_link: https://medium.com/@kaustubhgupta1828/

!!! note
    You don't necessarily need to add different scopes in different places.

    We are doing it here to demonstrate how **FastAPI** handles scopes declared at different levels.

=== "Python 3.10+"

    ```Python hl_lines="4  139  170"
    {!> ../../../docs_src/security/tutorial005_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="4  139  170"

This kind of asynchronicity is what made NodeJS popular (even though NodeJS is not parallel) and that's the strength of Go as a programming language.

And that's the same level of performance you get with **FastAPI**.

    return [pet1, pet2]


client = TestClient(app)


def test_filter_top_level_model():
    response = client.post(
        "/users", json={"email": "******@****.***", "password": "secret"}
    )
    assert response.json() == {"email": "******@****.***"}


def test_filter_second_level_model():
    response = client.get("/pets/1")
    assert response.json() == {
        "name": "Nibbler",