# -*- coding: utf-8 -*-
"""
荐股评分引擎：多因子打分模型（满分100）
- 趋势 25分：均线多头排列 + 站上MA20
- 动量 20分：5日涨幅区间映射
- 技术 15分：RSI健康区间 / 超买超卖
- 量能 10分：量比
- 消息 15分：近7日相关新闻情感均值（RAG 信号）
- 机构 15分：近30日评级上调 + 基金持仓环比增持

评级：>=82 强烈推荐 / >=68 推荐 / >=55 关注 / <55 观望
"""
RATINGS = [
    (82, "强烈推荐"),
    (68, "推荐"),
    (55, "关注"),
    (-1e9, "观望"),
]


def _rating(score):
    for threshold, name in RATINGS:
        if score >= threshold:
            return name
    return "观望"


def _bracket(v, cuts):
    """v 落在 [val, 分数] 区间的第一个匹配"""
    for hi, lo, score in cuts:
        if hi is None or v <= hi:
            if v >= lo:
                return score
    return 0


def score_stock(ind, news_score, inst_score):
    """ind: indicators dict；news_score: -1~1（无新闻用0）；inst_score: 0~1 归一化机构热度"""
    s = {}

    # 1. 趋势 25
    if ind.get("trend_bull"):
        s["trend"] = 25
    elif ind.get("trend_partial"):
        s["trend"] = 17
    else:
        s["trend"] = 8
    ma20 = ind.get("ma20")
    if ma20 and ind.get("close", 0) >= ma20:
        s["trend"] = min(25, s["trend"] + 4)

    # 2. 动量 20（5日涨幅）
    chg5 = ind.get("chg_5d", 0)
    if chg5 > 12:
        s["momentum"] = 16          # 过急，扣分防追高
    elif chg5 > 6:
        s["momentum"] = 20
    elif chg5 > 2:
        s["momentum"] = 15
    elif chg5 > -2:
        s["momentum"] = 10
    elif chg5 > -6:
        s["momentum"] = 6
    else:
        s["momentum"] = 3

    # 3. 技术 15（RSI）
    rsi = ind.get("rsi", 50)
    if 50 <= rsi <= 68:
        s["technical"] = 15
    elif 40 <= rsi < 50:
        s["technical"] = 11
    elif 68 < rsi <= 80:
        s["technical"] = 8            # 接近超买
    elif rsi < 35:
        s["technical"] = 9            # 超卖修复机会
    else:
        s["technical"] = 5

    # 4. 量能 10（量比）
    vr = ind.get("vol_ratio", 1.0)
    if vr >= 2.0:
        s["volume"] = 10
    elif vr >= 1.3:
        s["volume"] = 8
    elif vr >= 0.8:
        s["volume"] = 6
    else:
        s["volume"] = 4

    # 5. 消息 15
    s["news"] = round(max(0, min(15, (news_score + 1) / 2 * 15)), 1)

    # 6. 机构 15
    s["institutional"] = round(inst_score * 15, 1)

    total = round(sum(s.values()), 1)
    return {
        "total": total,
        "trend": s["trend"],
        "momentum": s["momentum"],
        "technical": s["technical"],
        "volume": s["volume"],
        "news": s["news"],
        "institutional": s["institutional"],
        "rating": _rating(total),
        "score_parts": s,
    }


def build_reasons(ind, news_score, inst_up, hold_up):
    """生成规则化推荐理由（供列表直接展示，无需 LLM）"""
    reasons = []
    if ind.get("trend_bull"):
        reasons.append("均线呈多头排列，中短期趋势向上")
    elif ind.get("close", 0) >= (ind.get("ma20") or 0):
        reasons.append("股价站上20日均线，趋势转强")
    else:
        reasons.append("均线空头排列，趋势偏弱，注意风险")

    chg5 = ind.get("chg_5d", 0)
    if chg5 >= 6:
        reasons.append(f"5日涨幅{chg5:+.1f}%，动量强劲")
    elif chg5 < -6:
        reasons.append(f"5日跌幅{chg5:+.1f}%，弱势调整")
    else:
        reasons.append(f"5日涨跌{chg5:+.1f}%，动量平稳")

    rsi = ind.get("rsi", 50)
    if rsi >= 70:
        reasons.append(f"RSI {rsi:.0f} 超买，短线回调风险增大")
    elif rsi <= 30:
        reasons.append(f"RSI {rsi:.0f} 超卖，存在修复反弹机会")

    vr = ind.get("vol_ratio", 1.0)
    if vr >= 1.5:
        reasons.append(f"量比{vr:.2f}，放量明显，资金活跃")
    elif vr < 0.7:
        reasons.append(f"量比{vr:.2f}，缩量整理")

    if news_score > 0.25:
        reasons.append("近期相关消息面偏正面，情绪回暖")
    elif news_score < -0.25:
        reasons.append("近期消息面偏空，注意利空扰动")

    if inst_up > 0:
        reasons.append(f"近30日{inst_up}家机构给出正面评级")
    if hold_up > 0:
        reasons.append("基金最新季度环比增持")
    return reasons[:4]