"""评分详情 score_items 三平台差异 + 50+ 维度/权重(展示层)。"""

from content_agent.flow_ledger_service import _decision_score_items


def _by_label(items, label):
    return next((it for it in items if it["label"] == label), None)


def test_douyin_ok_emits_fifty_dimension_and_weights():
    scorecard = {
        "query_relevance_score": 98,
        "platform_performance_score": 72.2,
        "total_score": 73,
        "platform_performance_components": [
            {"field": "statistics.digg_count", "value": 130096, "weight": 0.4, "normalized_score": 55.7},
        ],
        "fifty_plus_status": "ok",
        "fifty_plus_score": 45,
        "fifty_plus_components": {"tgi_score": 55, "percent_score": 30, "band_tgi": 110, "band_percent": 30},
    }
    items = _decision_score_items(scorecard, 73)
    assert _by_label(items, "是否契合需求")["weight"] == 0.35
    assert _by_label(items, "平台表现")["weight"] == 0.35
    fifty = _by_label(items, "50+老年受众")
    assert fifty["group"] == "main" and fifty["weight"] == 0.3 and fifty["status"] == "ok"
    assert fifty["score"] == 45
    tgi = _by_label(items, "TGI 表现")
    assert tgi["group"] == "fifty" and tgi["weight"] == 0.6
    assert _by_label(items, "占比表现")["weight"] == 0.4
    # 平台子项带结构化权重
    assert _by_label(items, "点赞表现")["group"] == "platform"
    assert _by_label(items, "点赞表现")["weight"] == 0.4


def test_non_douyin_is_5050_without_fifty():
    scorecard = {
        "query_relevance_score": 80,
        "platform_performance_score": 56,
        "total_score": 68,
        "platform_performance_components": [
            {"field": "statistics.play_count", "value": 9000, "weight": 0.4, "normalized_score": 60},
        ],
    }
    items = _decision_score_items(scorecard, 68)
    assert _by_label(items, "是否契合需求")["weight"] == 0.5
    assert _by_label(items, "平台表现")["weight"] == 0.5
    assert _by_label(items, "50+老年受众") is None
    assert all(it.get("group") != "fifty" for it in items)
    # 快手特有「播放表现」子项数据驱动透出
    assert _by_label(items, "播放表现")["group"] == "platform"


def test_douyin_not_attempted_shows_fifty_unevaluated():
    scorecard = {
        "query_relevance_score": 40,
        "platform_performance_score": 50,
        "total_score": 31.5,
        "platform_performance_components": [],
        "fifty_plus_status": "not_attempted",
    }
    items = _decision_score_items(scorecard, 31.5)
    fifty = _by_label(items, "50+老年受众")
    assert fifty is not None
    assert fifty["score"] is None
    assert fifty["status"] == "not_attempted"
    assert fifty["weight"] == 0.3
    assert fifty["score_label"] == "未评估"
    # 不应出现 fifty 拆解子项
    assert all(it.get("group") != "fifty" for it in items)