# This file was auto-generated by Fern from our API Definition.

import datetime as dt
import typing

import pydantic

from ......core.datetime_utils import serialize_datetime
from ......core.pydantic_utilities import deep_union_pydantic_dicts
from .intake_follow_up import IntakeFollowUp


class IntakeResponseAndFollowUps(pydantic.BaseModel):
    """
    Examples
    --------
    from candid.resources.encounters.v_4 import (
        IntakeFollowUp,
        IntakeResponseAndFollowUps,
    )

    IntakeResponseAndFollowUps(
        response="No allergies",
        follow_ups=[
            IntakeFollowUp(
                id="4F3D57F9-AC94-49D6-87E4-E804B709917A",
                text="Do you have any allergies?",
                response="No allergies",
            )
        ],
    )
    """

    response: typing.Optional[str] = None
    follow_ups: typing.Optional[typing.List[IntakeFollowUp]] = None

    def json(self, **kwargs: typing.Any) -> str:
        kwargs_with_defaults: typing.Any = {"by_alias": True, "exclude_unset": True, **kwargs}
        return super().json(**kwargs_with_defaults)

    def dict(self, **kwargs: typing.Any) -> typing.Dict[str, typing.Any]:
        kwargs_with_defaults_exclude_unset: typing.Any = {"by_alias": True, "exclude_unset": True, **kwargs}
        kwargs_with_defaults_exclude_none: typing.Any = {"by_alias": True, "exclude_none": True, **kwargs}

        return deep_union_pydantic_dicts(
            super().dict(**kwargs_with_defaults_exclude_unset), super().dict(**kwargs_with_defaults_exclude_none)
        )

    class Config:
        frozen = True
        smart_union = True
        extra = pydantic.Extra.forbid
        json_encoders = {dt.datetime: serialize_datetime}
