[Python] Python dictionary vs dataclass (and metaclasses) for dynamic attributes

Less object oriented snippet (1):

class Trickjump(TypedDict):
id: int
name: str
difficulty: str
...


Dataclass snippet (2):

@dataclass
class Trickjump():
id: IdAttr
name: NameAttr
difficulty: DifficultyAttr
...



My issue lies in the fact that I can't decide which approach would be better in my case. I need attributes that are dynamically creatable with a name and custom functionality, where the user gives me the attribute's name as a string and the value as a string. I want to then use the attribute's custom functionality with the given value to produce a result.

In the first code snippet, which I find is less object oriented, I could get the custom functionality of an attribute and use it with the value in the following way:

Attributes.get("attr_name").sort_key(value)

While in the second code snippet I would have to dynamically create classes with type(...) to act as attributes and it would also directly hold the value, probably best by using metaclasses.

I think the first way is way less work, but I feel like the second option is something more advanced but possibly also a bit over the top. Which way do you think is the best for my scenario? Or is there another solution?

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