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

from __future__ import annotations
from openrouter.types import BaseModel, Nullable, UNSET_SENTINEL
import pydantic
from pydantic import model_serializer
from typing import List
from typing_extensions import Annotated, TypedDict


class ChatTokenLogprobTopLogprobTypedDict(TypedDict):
    bytes_: Nullable[List[int]]
    logprob: float
    token: str


class ChatTokenLogprobTopLogprob(BaseModel):
    bytes_: Annotated[Nullable[List[int]], pydantic.Field(alias="bytes")]

    logprob: float

    token: str

    @model_serializer(mode="wrap")
    def serialize_model(self, handler):
        optional_fields = []
        nullable_fields = ["bytes"]
        null_default_fields = []

        serialized = handler(self)

        m = {}

        for n, f in type(self).model_fields.items():
            k = f.alias or n
            val = serialized.get(k)
            serialized.pop(k, None)

            optional_nullable = k in optional_fields and k in nullable_fields
            is_set = (
                self.__pydantic_fields_set__.intersection({n})
                or k in null_default_fields
            )  # pylint: disable=no-member

            if val is not None and val != UNSET_SENTINEL:
                m[k] = val
            elif val != UNSET_SENTINEL and (
                not k in optional_fields or (optional_nullable and is_set)
            ):
                m[k] = val

        return m


class ChatTokenLogprobTypedDict(TypedDict):
    r"""Token log probability information"""

    bytes_: Nullable[List[int]]
    r"""UTF-8 bytes of the token"""
    logprob: float
    r"""Log probability of the token"""
    token: str
    r"""The token"""
    top_logprobs: List[ChatTokenLogprobTopLogprobTypedDict]
    r"""Top alternative tokens with probabilities"""


class ChatTokenLogprob(BaseModel):
    r"""Token log probability information"""

    bytes_: Annotated[Nullable[List[int]], pydantic.Field(alias="bytes")]
    r"""UTF-8 bytes of the token"""

    logprob: float
    r"""Log probability of the token"""

    token: str
    r"""The token"""

    top_logprobs: List[ChatTokenLogprobTopLogprob]
    r"""Top alternative tokens with probabilities"""

    @model_serializer(mode="wrap")
    def serialize_model(self, handler):
        optional_fields = []
        nullable_fields = ["bytes"]
        null_default_fields = []

        serialized = handler(self)

        m = {}

        for n, f in type(self).model_fields.items():
            k = f.alias or n
            val = serialized.get(k)
            serialized.pop(k, None)

            optional_nullable = k in optional_fields and k in nullable_fields
            is_set = (
                self.__pydantic_fields_set__.intersection({n})
                or k in null_default_fields
            )  # pylint: disable=no-member

            if val is not None and val != UNSET_SENTINEL:
                m[k] = val
            elif val != UNSET_SENTINEL and (
                not k in optional_fields or (optional_nullable and is_set)
            ):
                m[k] = val

        return m
