from __future__ import annotations

from collections.abc import Mapping
from typing import Any, TypeVar, cast

from attrs import define as _attrs_define
from attrs import field as _attrs_field

from ..types import UNSET, Unset

T = TypeVar("T", bound="ThinkRequest")


@_attrs_define
class ThinkRequest:
    """Request model for think endpoint.

    Example:
        {'agent_id': 'user123', 'context': 'This is for a research paper on AI ethics', 'query': 'What do you think
            about artificial intelligence?', 'thinking_budget': 50}

    Attributes:
        query (str):
        agent_id (str | Unset):  Default: 'default'.
        thinking_budget (int | Unset):  Default: 50.
        context (None | str | Unset):
    """

    query: str
    agent_id: str | Unset = "default"
    thinking_budget: int | Unset = 50
    context: None | str | Unset = UNSET
    additional_properties: dict[str, Any] = _attrs_field(init=False, factory=dict)

    def to_dict(self) -> dict[str, Any]:
        query = self.query

        agent_id = self.agent_id

        thinking_budget = self.thinking_budget

        context: None | str | Unset
        if isinstance(self.context, Unset):
            context = UNSET
        else:
            context = self.context

        field_dict: dict[str, Any] = {}
        field_dict.update(self.additional_properties)
        field_dict.update(
            {
                "query": query,
            }
        )
        if agent_id is not UNSET:
            field_dict["agent_id"] = agent_id
        if thinking_budget is not UNSET:
            field_dict["thinking_budget"] = thinking_budget
        if context is not UNSET:
            field_dict["context"] = context

        return field_dict

    @classmethod
    def from_dict(cls: type[T], src_dict: Mapping[str, Any]) -> T:
        d = dict(src_dict)
        query = d.pop("query")

        agent_id = d.pop("agent_id", UNSET)

        thinking_budget = d.pop("thinking_budget", UNSET)

        def _parse_context(data: object) -> None | str | Unset:
            if data is None:
                return data
            if isinstance(data, Unset):
                return data
            return cast(None | str | Unset, data)

        context = _parse_context(d.pop("context", UNSET))

        think_request = cls(
            query=query,
            agent_id=agent_id,
            thinking_budget=thinking_budget,
            context=context,
        )

        think_request.additional_properties = d
        return think_request

    @property
    def additional_keys(self) -> list[str]:
        return list(self.additional_properties.keys())

    def __getitem__(self, key: str) -> Any:
        return self.additional_properties[key]

    def __setitem__(self, key: str, value: Any) -> None:
        self.additional_properties[key] = value

    def __delitem__(self, key: str) -> None:
        del self.additional_properties[key]

    def __contains__(self, key: str) -> bool:
        return key in self.additional_properties