## `HTTPSRedirectMiddleware`

Enforces that all incoming requests must either be `https` or `wss`.

Any incoming requests to `http` or `ws` will be redirected to the secure scheme instead.

```Python hl_lines="2  6"
{!../../../docs_src/advanced_middleware/tutorial001.py!}
```

## `TrustedHostMiddleware`

client = TestClient(app)


def test_middleware():
    response = client.get("/large", headers={"accept-encoding": "gzip"})
    assert response.status_code == 200, response.text
    assert response.text == "x" * 4000
    assert response.headers["Content-Encoding"] == "gzip"
    assert int(response.headers["Content-Length"]) < 4000
    response = client.get("/")

    ```

This will make FastAPI skip the response model generation and that way you can have any return type annotations you need without it affecting your FastAPI application. 🤓

## Response Model encoding parameters

Your response model could have default values, like:

=== "Python 3.10+"

    ```Python hl_lines="9  11-12"
    {!> ../../../docs_src/response_model/tutorial004_py310.py!}
    ```

    people_path = Path("./docs/en/data/people.yml")
    github_sponsors_path = Path("./docs/en/data/github_sponsors.yml")
    people_old_content = people_path.read_text(encoding="utf-8")
    github_sponsors_old_content = github_sponsors_path.read_text(encoding="utf-8")
    new_people_content = yaml.dump(
        people, sort_keys=False, width=200, allow_unicode=True
    )
    new_github_sponsors_content = yaml.dump(

    * Pythonの`datetime.time`.
    * リクエストとレスポンスはISO 8601形式の`str`で表現されます: `14:23:55.003`
* `datetime.timedelta`:
    * Pythonの`datetime.timedelta`です。
    * リクエストとレスポンスでは合計秒数の`float`で表現されます。
    * Pydanticでは「ISO 8601 time diff encoding」として表現することも可能です。<a href="https://docs.pydantic.dev/latest/concepts/serialization/" class="external-link" target="_blank">詳細はドキュメントを参照してください</a>。
* `frozenset`:
    * リクエストとレスポンスでは`set`と同じように扱われます:

Another big feature needed by APIs is data validation, making sure that the data is valid, given certain parameters. For example, that some field is an `int`, and not some random string. This is especially useful for incoming data.

Without a data validation system, you would have to do all the checks by hand, in code.

These features are what Marshmallow was built to provide. It is a great library, and I have used it a lot before.

## 0.110.2

### Fixes

* 🐛 Fix support for query parameters with list types, handle JSON encoding Pydantic `UndefinedType`. PR [#9929](https://github.com/tiangolo/fastapi/pull/9929) by [@arjwilliams](https://github.com/arjwilliams).

### Refactors

def test_gzip_request(compress):
    n = 1000
    headers = {}
    body = [1] * n
    data = json.dumps(body).encode()
    if compress:
        data = gzip.compress(data)
        headers["Content-Encoding"] = "gzip"
    headers["Content-Type"] = "application/json"
    response = client.post("/sum", content=data, headers=headers)
    assert response.json() == {"sum": n}


def test_request_class():

* Decompressing gzip-compressed request bodies.
* Automatically logging all request bodies.

## Handling custom request body encodings

Let's see how to make use of a custom `Request` subclass to decompress gzip requests.

And an `APIRoute` subclass to use that custom request class.

### Create a custom `GzipRequest` class

!!! tip

    schema_: Optional[Union[Schema, Reference]] = Field(default=None, alias="schema")
    example: Optional[Any] = None
    examples: Optional[Dict[str, Union[Example, Reference]]] = None
    encoding: Optional[Dict[str, Encoding]] = None


class ParameterBase(BaseModelWithConfig):
    description: Optional[str] = None
    required: Optional[bool] = None
    deprecated: Optional[bool] = None