"""큐레이션 직전 호출 — review 1건 + 추세 3건 → 컨텍스트 dict."""
import json
from typing import Optional, Dict, Any
from .. import service_proxy


def _detect_bias(reviews: list) -> str:
    """3주↑ 같은 방향 패턴 편향이 유지되면 한 줄로."""
    deltas = [r.get("pattern_delta") or "" for r in reviews if r.get("pattern_delta")]
    if len(deltas) < 2:
        return ""
    # 단순 휴리스틱 — 같은 키워드("저번호" 등)가 2회 이상이면 지속 편향
    keywords = ["저번호", "고번호", "합계", "홀짝"]
    persistent = []
    for kw in keywords:
        cnt = sum(1 for d in deltas if kw in d)
        if cnt >= max(2, len(deltas) - 1):
            persistent.append(kw)
    return " · ".join(persistent)


async def build_retrospective(target_draw_no: int) -> Optional[Dict[str, Any]]:
    """target_draw_no(이번 주) 직전 회차의 review + 그 앞 3회 추세."""
    last = await service_proxy.lotto_review_by_draw(target_draw_no - 1)
    if not last:
        return None

    history = await service_proxy.lotto_reviews_history(limit=4)
    # history 는 desc 정렬 → last 와 그 이전 3건 분리
    others = [r for r in history if r["draw_no"] < target_draw_no - 1][:3]
    series = [last] + others

    cur_avgs = [r["curator_avg_match"] for r in series if r.get("curator_avg_match") is not None]
    usr_avgs = [r["user_avg_match"]    for r in series if r.get("user_avg_match")    is not None]

    return {
        "last_draw": {
            "draw_no": last["draw_no"],
            "curator_avg": last.get("curator_avg_match"),
            "curator_best_tier": last.get("curator_best_tier"),
            "user_avg": last.get("user_avg_match"),
            "user_5plus": last.get("user_5plus_prizes"),
            "pattern_delta": last.get("pattern_delta") or "",
        },
        "trend_4w": {
            "curator_avg_4w": round(sum(cur_avgs) / len(cur_avgs), 2) if cur_avgs else None,
            "user_avg_4w":    round(sum(usr_avgs) / len(usr_avgs), 2) if usr_avgs else None,
            "user_persistent_bias": _detect_bias(series),
        },
    }