### Body

The new `attrs` package 23.1 released on 16th of April (11 hours ago) added typing information to "attrs.asdict" method and it mypy tests started to fail with 

```
airflow/providers/openlineage/utils/utils.py:345: error: Argument 1 to "asdict"
has incompatible type "Type[AttrsInstance]"; expected "AttrsInstance" 
[arg-type]
    ...            for dict_key, subval in attrs.asdict(item, recurse=False)....
                                                        ^
airflow/providers/openlineage/utils/utils.py:345: note: ClassVar protocol member AttrsInstance.__attrs_attrs__ can never be matched by a class object
```

The nature of this error (receiving Type where expecting instance indicates that there is somewhat serious issue here. 
Especially that there were a `type: ignore` one line above that would indicate that something is quite wrong here (when we ignore typing issue, we usually comment why and ignore very specific error (`type: ignore[attr-undefined]` for example) when we have good reason to ignore it.

Since open-lineage is not yet released/functional and partially in progress, this is not an issue to be solved immediately, but soon (cc: @mobuchowski).

For now I am workaroudning this by adding another `type: ignore` to stop the static checks from failing (they fail only for PRs that are updating dependencies) and allow to upgrade to attrs 23.1.

### Committer

- [X] I acknowledge that I am a maintainer/committer of the Apache Airflow project.
return f"{dag_id}.{task_id}"
def get_operator_class(task: BaseOperator) -> type:
    if task.__class__.__name__ in ("DecoratedMappedOperator", "MappedOperator"):
        return task.operator_class
    return task.__class__
def to_json_encodable(task: BaseOperator) -> dict[str, object]:
    def _task_encoder(obj):
        from airflow.models import DAG
        if isinstance(obj, datetime.datetime):
            return obj.isoformat()
        elif isinstance(obj, DAG):
            return {
                "dag_id": obj.dag_id,
                "tags": obj.tags,
                "schedule_interval": obj.schedule_interval,
                "timetable": obj.timetable.serialize(),
            }
        else:
            return str(obj)
    return json.loads(json.dumps(task.__dict__, default=_task_encoder))
def url_to_https(url) -> str | None: