Best way to specify nested dict with pydantic?

Context

I'm trying to validate/parse some data with pydantic.

I want to specify that the dict can have a key daytime, or not.If it does, I want the value of daytime to include both sunrise and sunset.

e.g. These should be allowed:

{'type': 'solar','daytime': {'sunrise': 4, # 4am'sunset': 18 # 6pm   }}

And

{'type': 'wind'   # daytime key is omitted}

And

{'type': 'wind','daytime': None}

But I want to fail validation for

{'type': 'solar','daytime': {'sunrise': 4   }}

Because this has a daytime value, but no sunset value.

MWE

I've got some code that does this.If I run this script, it executes successfully.

from pydantic import BaseModel, ValidationErrorfrom typing import List, Optional, Dictclass DayTime(BaseModel):    sunrise: int    sunset: intclass Plant(BaseModel):    daytime: Optional[DayTime] = None    type: strp = Plant.parse_obj({'type': 'wind'})p = Plant.parse_obj({'type': 'wind', 'daytime': None})p = Plant.parse_obj({'type': 'solar', 'daytime': {'sunrise': 5, 'sunset': 18    }})try:    p = Plant.parse_obj({'type': 'solar', 'daytime': {'sunrise': 5        }})except ValidationError:    passelse:    raise AssertionError("Should have failed")

Question

What I'm wondering is,is this how you're supposed to use pydantic for nested data?

I have lots of layers of nesting, and this seems a bit verbose.

Is there any way to do something more concise, like:

class Plant(BaseModel):    daytime: Optional[Dict[('sunrise', 'sunset'), int]] = None    type: str