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

from __future__ import annotations
from .unifiedbenchmarkpricing import (
    UnifiedBenchmarkPricing,
    UnifiedBenchmarkPricingTypedDict,
)
from openrouter.types import BaseModel, Nullable, UNSET_SENTINEL
from pydantic import model_serializer
from typing import Literal
from typing_extensions import TypedDict


UnifiedBenchmarksAAItemSource = Literal["artificial-analysis",]
r"""Benchmark source discriminator."""


class UnifiedBenchmarksAAItemTypedDict(TypedDict):
    agentic_index: Nullable[float]
    r"""Artificial Analysis Agentic Index composite score. Higher is better."""
    coding_index: Nullable[float]
    r"""Artificial Analysis Coding Index composite score. Higher is better."""
    display_name: str
    r"""Model name as listed on Artificial Analysis."""
    intelligence_index: Nullable[float]
    r"""Artificial Analysis Intelligence Index composite score. Higher is better."""
    model_permaslug: str
    r"""Stable OpenRouter model identifier."""
    pricing: Nullable[UnifiedBenchmarkPricingTypedDict]
    r"""OpenRouter pricing per token for this model. Null if pricing is unavailable."""
    source: UnifiedBenchmarksAAItemSource
    r"""Benchmark source discriminator."""


class UnifiedBenchmarksAAItem(BaseModel):
    agentic_index: Nullable[float]
    r"""Artificial Analysis Agentic Index composite score. Higher is better."""

    coding_index: Nullable[float]
    r"""Artificial Analysis Coding Index composite score. Higher is better."""

    display_name: str
    r"""Model name as listed on Artificial Analysis."""

    intelligence_index: Nullable[float]
    r"""Artificial Analysis Intelligence Index composite score. Higher is better."""

    model_permaslug: str
    r"""Stable OpenRouter model identifier."""

    pricing: Nullable[UnifiedBenchmarkPricing]
    r"""OpenRouter pricing per token for this model. Null if pricing is unavailable."""

    source: UnifiedBenchmarksAAItemSource
    r"""Benchmark source discriminator."""

    @model_serializer(mode="wrap")
    def serialize_model(self, handler):
        optional_fields = []
        nullable_fields = [
            "agentic_index",
            "coding_index",
            "intelligence_index",
            "pricing",
        ]
        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