"""prediction_outcomes 매칭 배치.

평일 16:30 KST 에 실행. 다음 거래일 장 종료 후 (KRX 정규장 마감 15:30) 의
확정 종가가 16:00~16:30 사이 pykrx 로 들어온 뒤, target_date == 오늘인
user_triggered=TRUE 예측을 그 종가와 매칭.

cold-start / 휴장일 대비: 인자로 받은 target_date 의 ohlcv_daily 에 종가가
없으면 자연스럽게 skip. 다음 거래일 매칭 잡이 다시 시도하면 그 날짜는
여전히 매칭되지 않으므로 (매칭 sql 이 target_date 기준), 영원히 매칭 안되는
잘못된 calendar date 예측은 cleanup CLI 로 별도 정리 가능 (Phase 7).
"""
from __future__ import annotations

import json
import logging
from dataclasses import dataclass
from datetime import date, timedelta
from typing import Any

from sqlalchemy import text

from app.db.connection import get_engine

logger = logging.getLogger(__name__)

# direction_hit 판정 시 ±0.3% 이내는 flat. (features 의 FLAT_BAND 와 동일)
FLAT_BAND = 0.003


@dataclass
class MatchSummary:
    target_date: str
    candidates: int
    matched: int
    skipped_no_actual: int
    already_resolved: int


def _direction_label(ret: float) -> str:
    if ret > FLAT_BAND:
        return "up"
    if ret < -FLAT_BAND:
        return "down"
    return "flat"


def match_for_date(d: date) -> MatchSummary:
    """target_date == d 인 user_triggered=TRUE 예측을 매칭."""
    eng = get_engine()
    with eng.begin() as conn:
        # 매칭 대상 예측 + 매칭 안 됐는지 확인.
        candidate_rows = conn.execute(
            text(
                """
                SELECT p.id, p.code, p.base_date, p.horizon, p.point_forecast,
                       p.direction, p.model
                  FROM predictions p
             LEFT JOIN prediction_outcomes po ON po.prediction_id = p.id
                 WHERE p.target_date = :d
                   AND p.user_triggered = TRUE
                   AND po.prediction_id IS NULL
                """
            ),
            {"d": d},
        ).all()
        candidates = len(candidate_rows)
        if not candidates:
            return MatchSummary(str(d), 0, 0, 0, 0)

        # 종목별로 actual close 조회 (한번에 batch).
        codes = list({r[1] for r in candidate_rows})
        actual_map: dict[tuple[str, date], float] = {}
        for code in codes:
            row = conn.execute(
                text(
                    "SELECT close FROM ohlcv_daily WHERE code = :c AND date = :d"
                ),
                {"c": code, "d": d},
            ).first()
            if row and row[0] is not None:
                actual_map[(code, d)] = float(row[0])

        # base_close (각 예측의 base_date 종가) 도 필요 — direction 판정용.
        base_close_map: dict[tuple[str, date], float] = {}
        for pid, code, base_date, *_ in candidate_rows:
            key = (code, base_date)
            if key in base_close_map:
                continue
            row = conn.execute(
                text("SELECT close FROM ohlcv_daily WHERE code = :c AND date = :d"),
                {"c": code, "d": base_date},
            ).first()
            if row and row[0] is not None:
                base_close_map[key] = float(row[0])

        matched = 0
        skipped = 0
        already = 0
        for pid, code, base_date, horizon, point_forecast, pred_dir, model in candidate_rows:
            actual = actual_map.get((code, d))
            base_close = base_close_map.get((code, base_date))
            if actual is None or base_close is None:
                skipped += 1
                continue
            actual_ret = actual / base_close - 1.0
            actual_dir = _direction_label(actual_ret)
            dir_hit = (pred_dir == actual_dir)
            abs_err = abs(float(point_forecast) - actual) if point_forecast is not None else None

            try:
                conn.execute(
                    text(
                        """
                        INSERT INTO prediction_outcomes
                          (prediction_id, code, target_date, horizon, model,
                           predicted_close, actual_close, actual_return, direction_hit, abs_error)
                        VALUES
                          (:pid, :code, :d, :h, :m, :pc, :ac, :ar, :dh, :ae)
                        ON CONFLICT (prediction_id) DO NOTHING
                        """
                    ),
                    {
                        "pid": pid,
                        "code": code,
                        "d": d,
                        "h": horizon,
                        "m": model,
                        "pc": float(point_forecast) if point_forecast is not None else None,
                        "ac": actual,
                        "ar": float(actual_ret),
                        "dh": bool(dir_hit),
                        "ae": float(abs_err) if abs_err is not None else None,
                    },
                )
                matched += 1
            except Exception as exc:  # noqa: BLE001
                logger.warning("match insert failed pid=%s: %s", pid, exc)
                already += 1

        return MatchSummary(
            target_date=str(d),
            candidates=candidates,
            matched=matched,
            skipped_no_actual=skipped,
            already_resolved=already,
        )


def match_today() -> dict[str, Any]:
    """평일 16:30 KST 호출용. target_date == today (KST) 인 행 매칭."""
    from datetime import datetime, timezone, timedelta as td

    kst = timezone(td(hours=9))
    today = datetime.now(kst).date()
    summary = match_for_date(today)
    return {
        "today": str(today),
        "summary": summary.__dict__,
    }


if __name__ == "__main__":
    logging.basicConfig(level=logging.INFO, format="%(asctime)s %(levelname)s %(name)s: %(message)s")
    out = match_today()
    print(json.dumps(out, ensure_ascii=False, indent=2, default=str))