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

import datetime as dt
import typing

import typing_extensions

from ..core.datetime_utils import serialize_datetime
from .client_facing_body_temperature_sample_sensor_location import ClientFacingBodyTemperatureSampleSensorLocation

try:
    import pydantic.v1 as pydantic  # type: ignore
except ImportError:
    import pydantic  # type: ignore


class ClientFacingBodyTemperatureSample(pydantic.BaseModel):
    id: typing.Optional[int]
    timezone_offset: typing.Optional[int]
    type: typing.Optional[str]
    unit: typing_extensions.Literal["°C"]
    timestamp: dt.datetime = pydantic.Field(description="Depracated. The start time (inclusive) of the interval.")
    start: dt.datetime = pydantic.Field(description="The start time (inclusive) of the interval.")
    end: dt.datetime = pydantic.Field(description="The end time (exclusive) of the interval.")
    value: float = pydantic.Field(description="The recorded value for the interval.")
    sensor_location: typing.Optional[ClientFacingBodyTemperatureSampleSensorLocation]

    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: typing.Any = {"by_alias": True, "exclude_unset": True, **kwargs}
        return super().dict(**kwargs_with_defaults)

    class Config:
        frozen = True
        smart_union = True
        json_encoders = {dt.datetime: serialize_datetime}
