{* ../../docs_src/behind_a_proxy/tutorial002_py310.py hl[3] *}

Passing the `root_path` to `FastAPI` would be the equivalent of passing the `--root-path` command line option to Uvicorn or Hypercorn.

### About `root_path` { #about-root-path }

Keep in mind that the server (Uvicorn) won't use that `root_path` for anything else than passing it to the app.

UserInDB(**user_dict)
```

would be equivalent to:

```Python
UserInDB(**user_in.model_dump())
```

...because `user_in.model_dump()` is a `dict`, and then we make Python "unpack" it by passing it to `UserInDB` prefixed with `**`.

So, we get a Pydantic model from the data in another Pydantic model.

#### Unpacking a `dict` and extra keywords { #unpacking-a-dict-and-extra-keywords }

):
    # This is an incorrect way of using it, this is not checking if the scopes are
    # provided by the token, only if the endpoint is requesting them, but the test
    # here is just to check if FastAPI is indeed registering and passing the scopes
    # correctly when using Security with parameterless dependencies.
    if "a" not in security_scopes.scopes or "b" not in security_scopes.scopes:

If everything is working, or after you make the necessary changes, and all your tests are passing, then you can pin your `fastapi` to that new recent version.

## About Starlette { #about-starlette }

You shouldn't pin the version of `starlette`.

<img src="/img/tutorial/path-operation-configuration/image05.png">

## Recap { #recap }

For those cases, you can use the `jsonable_encoder` to convert your data before passing it to a response:

{* ../../docs_src/response_directly/tutorial001_py310.py hl[5:6,20:21] *}

/// note | Technical Details

You could also use `from starlette.responses import JSONResponse`.

## FastAPI People PRs

Every month, a GitHub Action updates the FastAPI People data. Those PRs look like this one: [👥 Update FastAPI People](https://github.com/fastapi/fastapi/pull/11669).

If the tests are passing, you can merge it right away.

## Dependabot PRs

Dependabot will create PRs to update dependencies for several things, and those PRs all look similar, but some are way more delicate than others.

///

The only thing the function returned by `GzipRequest.get_route_handler` does differently is convert the `Request` to a `GzipRequest`.

Doing this, our `GzipRequest` will take care of decompressing the data (if necessary) before passing it to our *path operations*.

After that, all of the processing logic is the same.

Make sure you create a [virtual environment](../virtual-environments.md), activate it, and then install it, for example:

```console
$ pip install httpx
```

///

Import `TestClient`.

Create a `TestClient` by passing your **FastAPI** application to it.

Create functions with a name that starts with `test_` (this is standard `pytest` conventions).

Use the `TestClient` object the same way as you do with `httpx`.

Using `UploadFile` has several advantages over `bytes`:

* You don't have to use `File()` in the default value of the parameter.
* It uses a "spooled" file:
    * A file stored in memory up to a maximum size limit, and after passing this limit it will be stored in disk.
* This means that it will work well for large files like images, videos, large binaries, etc. without consuming all the memory.
* You can get metadata from the uploaded file.