# 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 ..core.pydantic_utilities import pydantic_v1


class ResponseData(pydantic_v1.BaseModel):
    """
    Examples
    --------
    from bland import ResponseData

    ResponseData(
        name="Flight Status",
        data="user.flights[0].status",
        context="John's flight is currently Flight Status",
    )
    """

    name: str = pydantic_v1.Field()
    """
    A label for the fetched data.
    """

    data: str = pydantic_v1.Field()
    """
    The JSON path in the API response to extract the data from.
    """

    context: str = pydantic_v1.Field()
    """
    How this data should be incorporated into the AI's knowledge.
    """

    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
        extra = pydantic_v1.Extra.allow
        json_encoders = {dt.datetime: serialize_datetime}
