"""评测评审 LLM 装配：多供应商与上下文预算。"""

import pytest

from app.core.config import settings
from app.core.dependencies import build_eval_judge_llm_spec
from app.features.evaluation.judge_service import (
    eval_judge_compare_transcript_each_max_chars_for_context,
    eval_judge_conversation_transcript_max_chars_for_context,
)


def test_build_eval_judge_zhipu_uses_bigmodel_defaults(
    monkeypatch: pytest.MonkeyPatch,
) -> None:
    monkeypatch.setattr(settings, "eval_judge_api_key", "")
    monkeypatch.setattr(settings, "zhipu_api_key", "z-test")
    monkeypatch.setattr(settings, "eval_judge_model", "glm-5")
    spec = build_eval_judge_llm_spec("zhipu", None)
    assert spec is not None
    assert spec.provider == "zhipu"
    assert spec.resolved_model == "glm-5"
    assert spec.llm is not None
    assert spec.context_window_tokens == settings.eval_judge_context_window_tokens


def test_build_eval_judge_zhipu_request_model_override(
    monkeypatch: pytest.MonkeyPatch,
) -> None:
    monkeypatch.setattr(settings, "eval_judge_api_key", "e-test")
    monkeypatch.setattr(settings, "eval_judge_model", "glm-5")
    spec = build_eval_judge_llm_spec("zhipu", "glm-4-plus")
    assert spec is not None
    assert spec.resolved_model == "glm-4-plus"


def test_build_eval_judge_deepseek_requires_key(
    monkeypatch: pytest.MonkeyPatch,
) -> None:
    monkeypatch.setattr(settings, "deepseek_api_key", "")
    monkeypatch.setattr(settings, "llm_api_key", "")
    assert build_eval_judge_llm_spec("deepseek", None) is None


def test_build_eval_judge_deepseek_context_budget(
    monkeypatch: pytest.MonkeyPatch,
) -> None:
    monkeypatch.setattr(settings, "deepseek_api_key", "d-test")
    monkeypatch.setattr(settings, "eval_judge_deepseek_model", "deepseek-reasoner")
    monkeypatch.setattr(settings, "eval_judge_deepseek_context_window_tokens", 64_000)
    spec = build_eval_judge_llm_spec("deepseek", None)
    assert spec is not None
    assert spec.provider == "deepseek"
    assert spec.resolved_model == "deepseek-reasoner"
    assert spec.context_window_tokens == 64_000
    n = eval_judge_conversation_transcript_max_chars_for_context(64_000)
    glm_n = eval_judge_conversation_transcript_max_chars_for_context(200_000)
    assert n < glm_n
    each_ds = eval_judge_compare_transcript_each_max_chars_for_context(64_000)
    each_glm = eval_judge_compare_transcript_each_max_chars_for_context(200_000)
    assert each_ds < each_glm