Self-Referencing Field Aliases To Segregate Out Sub-Objects

[parkerhancock]

I'm using (and loving!) pydantic in some data parsing projects. One issue I've run into is that I'm getting very large and "flat" JSON objects, like this:

{
    "player_firstname": "John",
    "player_lastname": "Smith",
    "coach_firstname": "Mark",
    "coach_lastname": "Jenkins",
}

And I want to parse it into Pydantic objects that, when dumped, look like this:

{
    "player": {
        "first_name": "John",
        "last_name": "Smith"
    },
    "coach": {
        "first_name": "Mark",
        "last_name": "Jenkins",
    }
}

Is there a way to do this using purely pydantic? Something like (and I know this doesn't work):

class Player(BaseModel):
    first_name: str = Field(alias="player_firstname")
    last_name: str = Field(alias="player_lastname")

class Coach(BaseModel):
    first_name: str = Field(alias="coach_firstname")
    last_name: str = Field(alias="coach_lastname")

class Object(BaseModel):
    player: Player = Field(alias=[Self?])
    coach: Coach = Field(alias=[Self?])

Is there something I can put for "Self" that works? Or some variant of AliasPath or AliasChoices (or something like that) that would work as an AliasSelf?

For the sake of conversation, assume the real data here has >200 fields that should actually be segregated out into about a dozen sub-objects, and that writing a function to do data reshaping on the input without Pydantic would be complex and hard to maintain.

Thanks!

[JesseDeLoore]

Did you ever find a workaround for this ?