Currently (as implemented in #17414), timetables are serialised by their classes’ full import path. This works most of the time, but not in some cases, including:

* Nested in class or function
* Declared directly in a DAG file without a valid import name (e.g. `12345.py`)

It’s fundamentally impossible to fix some of the cases (e.g. function-local class declaration) due to how Python works, but by requiring the user to explicitly register the timetable class, we can at least expose that problem so users don’t attempt to do that.

However, since the timetable actually would work a lot of times without any additional mechanism, I’m also wondering if we should _require_ registration.

1. Always require registration. A DAG using an unregistered timetable class fails to serialise.
2. Only require registration when the timetable class has wonky import path. “Normal” classes work out of the box without registering, and user sees a serialisation error asking for registration otherwise.
3. Don’t require registration. If a class cannot be correctly serialised, tell the user we can’t do it and the timetable must be declared another way.
airflow/serialization/serialized_objects.py
"""Stringifies DAGs and operators contained by var and returns a JSON string of var."""
        return json.dumps(cls.to_dict(var), ensure_ascii=True)
    @classmethod
    def to_dict(cls, var: Union[DAG, BaseOperator, dict, list, set, tuple]) -> dict:
        """Stringifies DAGs and operators contained by var and returns a dict of var."""
        
        
        raise NotImplementedError()
    @classmethod
    def from_json(cls, serialized_obj: str) -> Union['BaseSerialization', dict, list, set, tuple]:
        """Deserializes json_str and reconstructs all DAGs and operators it contains."""
        return cls.from_dict(json.loads(serialized_obj))
    @classmethod
    def from_dict(
        cls, serialized_obj: Dict[Encoding, Any]
    ) -> Union['BaseSerialization', dict, list, set, tuple]:
        """Deserializes a python dict stored with type decorators and
        reconstructs all DAGs and operators it contains.
        """
        return cls._deserialize(serialized_obj)
    @classmethod
    def validate_schema(cls, serialized_obj: Union[str, dict]) -> None: