"""portfolio_cache_bridge — 매매 엔진(데이트레이딩/스윙)에서 포트폴리오 화면 상태를 즉시 갱신.

역할:
  - 매수 직후: Portfolio 행 upsert(db_worker 큐) + 인메모리 캐시에 즉시 추가 (strategy_type 태깅)
  - 매도 직후: Portfolio 수량 차감/0 (db_worker 큐) + 캐시에서 즉시 제거/차감 + 최근매도 기록
    (KIS 잔고 반영 지연으로 동기화가 되살리는 것 방지)

DB 쓰기는 전부 db_worker 큐 경유(CLAUDE.md §3.2). 캐시는 인메모리라 실시간 계층에서 호출 가능.
portfolio.py 는 지연 import (순환 import·기동 순서 회피).
"""
import logging
from decimal import Decimal

logger = logging.getLogger(__name__)


def _cache():
    from app.api.endpoints.portfolio import portfolio_cache
    return portfolio_cache


async def reflect_buy(
    stock_code: str,
    stock_name: str,
    quantity: int,
    price: float,
    strategy_type: str = "swing",
    market: str = "KRX",
) -> None:
    """매수 체결 즉시 Portfolio(큐) + 캐시 반영."""
    try:
        from app.services.db_worker import enqueue_portfolio_upsert
        from app.models.models import Portfolio

        cache = _cache()
        existing = next((h for h in cache.holdings if h.stock_code == stock_code), None)
        if existing is not None:
            old_qty = int(existing.quantity or 0)
            old_avg = float(existing.average_price or price)
            new_qty = old_qty + quantity
            new_avg = (old_avg * old_qty + price * quantity) / new_qty if new_qty > 0 else price
            existing.quantity = new_qty
            existing.average_price = Decimal(str(round(new_avg, 2)))
            existing.current_price = Decimal(str(price))
            if strategy_type == "daytrading":
                existing.strategy_type = "daytrading"
            avg_for_db, qty_for_db = new_avg, new_qty
        else:
            cache.holdings.append(Portfolio(
                stock_code=stock_code, stock_name=stock_name, quantity=quantity,
                average_price=Decimal(str(price)), current_price=Decimal(str(price)),
                profit_loss=Decimal("0"), profit_loss_rate=Decimal("0"),
                market=market, strategy_type=strategy_type,
                currency_code="KRW" if market == "KRX" else "USD",
            ))
            avg_for_db, qty_for_db = price, quantity

        await enqueue_portfolio_upsert({
            "stock_code": stock_code,
            "stock_name": stock_name,
            "quantity": qty_for_db,
            "average_price": round(avg_for_db, 2),
            "current_price": price,
            "market": market,
            "strategy_type": strategy_type,
        })
        await cache.apply_buy(stock_code, stock_name, quantity, price)
    except Exception as e:
        logger.warning(f"[cache_bridge] reflect_buy 실패 ({stock_code}): {e}")


async def reflect_sell(
    stock_code: str,
    quantity: int,
    price: float,
    remaining_qty: int | None = None,
) -> None:
    """매도 체결 즉시 Portfolio(큐) 차감 + 캐시 제거/차감 + 최근매도 기록.

    remaining_qty: 호출측이 아는 매도 후 잔량(권장). None이면 캐시 보유량 기준으로 계산
    (캐시에 없으면 전량 매도로 간주하지 않고 DB 갱신을 건너뜀).
    """
    try:
        from app.services.db_worker import enqueue_portfolio_upsert

        cache = _cache()
        existing = next((h for h in cache.holdings if h.stock_code == stock_code), None)
        avg = float(existing.average_price or price) if existing is not None else price
        if remaining_qty is not None:
            remaining = max(0, int(remaining_qty))
        elif existing is not None:
            remaining = max(0, int(existing.quantity or 0) - quantity)
        else:
            remaining = None  # 알 수 없음 → DB 수량은 건드리지 않음
        if existing is not None and remaining is not None:
            if remaining <= 0:
                cache.holdings = [h for h in cache.holdings if h.stock_code != stock_code]
            else:
                existing.quantity = remaining
                existing.current_price = Decimal(str(price))

        if remaining is not None:
            await enqueue_portfolio_upsert({
                "stock_code": stock_code,
                "quantity": remaining,   # 0 → 목록에서 제외, 다음 동기화에서 삭제
                "current_price": price,
            })
        cache.note_sell(stock_code, quantity)
        await cache.apply_sell(stock_code, quantity, price, avg)
    except Exception as e:
        logger.warning(f"[cache_bridge] reflect_sell 실패 ({stock_code}): {e}")