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

import datetime as dt
import typing

from ....core.datetime_utils import serialize_datetime
from ...commons.types.map_value import MapValue
from .ingestion_usage import IngestionUsage
from .update_span_body import UpdateSpanBody

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


class UpdateGenerationBody(UpdateSpanBody):
    completion_start_time: typing.Optional[dt.datetime] = pydantic.Field(
        alias="completionStartTime", default=None
    )
    model: typing.Optional[str] = None
    model_parameters: typing.Optional[typing.Dict[str, MapValue]] = pydantic.Field(
        alias="modelParameters", default=None
    )
    usage: typing.Optional[IngestionUsage] = None
    prompt_name: typing.Optional[str] = pydantic.Field(alias="promptName", default=None)
    prompt_version: typing.Optional[int] = pydantic.Field(
        alias="promptVersion", default=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: typing.Any = {
            "by_alias": True,
            "exclude_unset": True,
            **kwargs,
        }
        return super().dict(**kwargs_with_defaults)

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