"""步骤 C：QA 第 11 维度 language_consistency 测试。

评审 R1：不可验证（expected_language 为空/auto）→ 维度满分 1.0 通过，不拉低总分，
使既有 test_eval_scorer / test_phase5_scorer 的 total_score==1.0 断言继续成立。
"""
from __future__ import annotations

from genesis.data_models import (
    CellValue, ExcelTable, ParsedTemplate, Provenance, SheetType, StructuredSource,
)
from genesis.eval.scorer import ChapterArtifact, ChapterScorer, EvalReport


def _dim(report: EvalReport, name: str):
    for d in report.dimensions:
        if d.name == name:
            return d
    raise AssertionError(f"维度未找到: {name}")


def _source() -> StructuredSource:
    cell = CellValue(
        value="登録",
        provenance=Provenance(file_name="f.xlsx", sheet_name="機能一覧", row=3, column="C", column_header="x"),
    )
    table = ExcelTable(
        name="機能一覧", detected_type=SheetType.FUNCTION,
        extraction_method="structured", headers=["v"], rows=[{"v": cell}],
    )
    return StructuredSource(
        tables=[table],
        template=ParsedTemplate(file_name="t.docx", sections=[], placeholders={}, styles={}),
        rule_docs=[], image_analyses=[], existing_system=None, comments=[],
    )


def test_language_dim_unverifiable_is_full_score():
    """expected_language 为空（auto/不可验证）→ 维度满分通过，不拉低总分。"""
    src = _source()
    artifact = ChapterArtifact(
        chapter_id="ch3", text="本機能は注文処理を行う画面である。",
        source_uris=[], template_sections_expected=["ch3"],
        expected_language="",
    )
    report = ChapterScorer().score([artifact], src)
    dim = _dim(report, "language_consistency")
    assert dim.score == 1.0
    assert dim.passed is True
    # 既有总分断言仍成立（全部确定性维度满分）
    assert report.total_score == 1.0


def test_language_dim_ja_expected_but_chinese_fails():
    src = _source()
    artifact = ChapterArtifact(
        chapter_id="ch3", text="这是一段纯中文的章节正文内容，应当判定为语言违规。",
        source_uris=[], template_sections_expected=["ch3"],
        expected_language="ja",
    )
    report = ChapterScorer().score([artifact], src)
    dim = _dim(report, "language_consistency")
    assert dim.score == 0.0
    assert dim.passed is False
    assert report.total_score < 1.0


def test_language_dim_zh_expected_japanese_fails():
    src = _source()
    artifact = ChapterArtifact(
        chapter_id="ch3", text="本機能は注文処理を行う画面であり、詳細は以下の通り。",
        source_uris=[], template_sections_expected=["ch3"],
        expected_language="zh",
    )
    report = ChapterScorer().score([artifact], src)
    dim = _dim(report, "language_consistency")
    assert dim.score == 0.0


def test_language_dim_threshold_in_defaults():
    assert ChapterScorer().thresholds["language_consistency"] == 1.0


def test_dimension_count_increases_by_one():
    src = _source()
    artifact = ChapterArtifact(
        chapter_id="ch3", text="正常内容", source_uris=[], template_sections_expected=["ch3"],
    )
    before = len(ChapterScorer(thresholds={}, llm_evaluators={}).score([artifact], src).dimensions)
    # 默认 scorer 含 language_consistency；对比一个不含该维度的基线不可行，
    # 此处仅断言维度中包含 language_consistency 名称
    report = ChapterScorer().score([artifact], src)
    assert any(d.name == "language_consistency" for d in report.dimensions)