"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""

from __future__ import annotations
from .inputfile import InputFile, InputFileTypedDict
from .inputimage import InputImage, InputImageTypedDict
from .inputtext import InputText, InputTextTypedDict
from functools import partial
from openrouter.types import (
    BaseModel,
    Nullable,
    OptionalNullable,
    UNSET,
    UNSET_SENTINEL,
    UnrecognizedStr,
)
from openrouter.utils.unions import parse_open_union
from pydantic import ConfigDict, model_serializer
from pydantic.functional_validators import BeforeValidator
from typing import Any, List, Literal, Union
from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict


OpenAIResponseFunctionToolCallOutputOutput1TypedDict = TypeAliasType(
    "OpenAIResponseFunctionToolCallOutputOutput1TypedDict",
    Union[InputTextTypedDict, InputImageTypedDict, InputFileTypedDict],
)


class UnknownOpenAIResponseFunctionToolCallOutputOutput1(BaseModel):
    r"""A OpenAIResponseFunctionToolCallOutputOutput1 variant the SDK doesn't recognize. Preserves the raw payload."""

    type: Literal["UNKNOWN"] = "UNKNOWN"
    raw: Any
    is_unknown: Literal[True] = True

    model_config = ConfigDict(frozen=True)


_OPEN_AI_RESPONSE_FUNCTION_TOOL_CALL_OUTPUT_OUTPUT_1_VARIANTS: dict[str, Any] = {
    "input_file": InputFile,
    "input_image": InputImage,
    "input_text": InputText,
}


OpenAIResponseFunctionToolCallOutputOutput1 = Annotated[
    Union[
        InputFile,
        InputImage,
        InputText,
        UnknownOpenAIResponseFunctionToolCallOutputOutput1,
    ],
    BeforeValidator(
        partial(
            parse_open_union,
            disc_key="type",
            variants=_OPEN_AI_RESPONSE_FUNCTION_TOOL_CALL_OUTPUT_OUTPUT_1_VARIANTS,
            unknown_cls=UnknownOpenAIResponseFunctionToolCallOutputOutput1,
            union_name="OpenAIResponseFunctionToolCallOutputOutput1",
        )
    ),
]


OpenAIResponseFunctionToolCallOutputOutput2TypedDict = TypeAliasType(
    "OpenAIResponseFunctionToolCallOutputOutput2TypedDict",
    Union[str, List[OpenAIResponseFunctionToolCallOutputOutput1TypedDict]],
)


OpenAIResponseFunctionToolCallOutputOutput2 = TypeAliasType(
    "OpenAIResponseFunctionToolCallOutputOutput2",
    Union[str, List[OpenAIResponseFunctionToolCallOutputOutput1]],
)


OpenAIResponseFunctionToolCallOutputStatus = Union[
    Literal[
        "in_progress",
        "completed",
        "incomplete",
    ],
    UnrecognizedStr,
]


OpenAIResponseFunctionToolCallOutputType = Literal["function_call_output",]


class OpenAIResponseFunctionToolCallOutputTypedDict(TypedDict):
    call_id: str
    output: OpenAIResponseFunctionToolCallOutputOutput2TypedDict
    type: OpenAIResponseFunctionToolCallOutputType
    id: NotRequired[Nullable[str]]
    status: NotRequired[Nullable[OpenAIResponseFunctionToolCallOutputStatus]]


class OpenAIResponseFunctionToolCallOutput(BaseModel):
    call_id: str

    output: OpenAIResponseFunctionToolCallOutputOutput2

    type: OpenAIResponseFunctionToolCallOutputType

    id: OptionalNullable[str] = UNSET

    status: OptionalNullable[OpenAIResponseFunctionToolCallOutputStatus] = UNSET

    @model_serializer(mode="wrap")
    def serialize_model(self, handler):
        optional_fields = set(["id", "status"])
        nullable_fields = set(["id", "status"])
        serialized = handler(self)
        m = {}

        for n, f in type(self).model_fields.items():
            k = f.alias or n
            val = serialized.get(k, serialized.get(n))
            is_nullable_and_explicitly_set = (
                k in nullable_fields
                and (self.__pydantic_fields_set__.intersection({n}))  # pylint: disable=no-member
            )

            if val != UNSET_SENTINEL:
                if (
                    val is not None
                    or k not in optional_fields
                    or is_nullable_and_explicitly_set
                ):
                    m[k] = val

        return m