Structs with nested `array_like` Structs `asdict`

[mledezma-r7]

Question

Hey folks, I went over #594 because of the same assumptions.
I was expecting asdict to work on nested Structs, at least as an option.

This is where I'm struggling:

import msgspec

class Dog(msgspec.Struct, array_like=True):
    name: str
    age: int

class Owner(msgspec.Struct):
    name: str
    dogs: list[Dog]

owner = Owner('A dog owner', [Dog('Doggie', 2), Dog('Max', 1)])

msgspec.structs.asdict(owner)
>> {'name': 'A dog owner', 'dogs': [Dog(name='Doggie', age=2), Dog(name='Max', age=1)]}

msgspec.to_builtins(owner)
>> {'name': 'A dog owner', 'dogs': [['Doggie', 2], ['Max', 1]]}

I need to come up with the following:

>>> {'name': 'A dog owner',  'dogs': [{'name': 'Doggie', 'age': 2}, {'name': 'Max', 'age': 1}]}

I tried working around the issue with the following, but most of the performance gains vanish.

def asdict(obj):
    if isinstance(obj, msgspec.Struct):
        return asdict(msgspec.structs.asdict(obj))
    if isinstance(obj, dict):
        return {key: asdict(value) for key, value in obj.items()}
    if isinstance(obj, list):
        return [asdict(item) for item in obj]
    return obj

Is there any plan to support the nested structs this way in asdict in the short term? or can you guys think of a good workaround? Thank you