from __future__ import annotations

from app.engine.strategies.base import BaseStrategy, Signal


class ConditionalStrategy(BaseStrategy):
    """조건부 지정가/시장가 전략"""

    def evaluate(self, current_price: dict, price_history: list[dict], holding_qty: int) -> Signal:
        price = current_price.get("current_price", 0)
        if price <= 0:
            return Signal(action="hold", stock_code=self.stock_code)

        buy_price = self.params.get("buy_price", 0)
        sell_price = self.params.get("sell_price", 0)
        change_rate_limit = self.params.get("change_rate_limit", 0)
        qty = self.params.get("qty", 1)

        if change_rate_limit:
            change_rate = current_price.get("change_rate", 0)
            if change_rate <= -change_rate_limit and price > 0:
                return Signal(
                    action="buy",
                    stock_code=self.stock_code,
                    qty=qty,
                    price=price,
                    reason=f"하락률 조건 충족: {change_rate:.2f}% <= -{change_rate_limit}%",
                    confidence=min(abs(change_rate) / change_rate_limit, 1.0),
                )
            if change_rate >= change_rate_limit and holding_qty > 0:
                return Signal(
                    action="sell",
                    stock_code=self.stock_code,
                    qty=min(qty, holding_qty),
                    price=price,
                    reason=f"상승률 조건 충족: {change_rate:.2f}% >= {change_rate_limit}%",
                    confidence=min(abs(change_rate) / change_rate_limit, 1.0),
                )

        if buy_price and price <= buy_price and holding_qty == 0:
            return Signal(
                action="buy",
                stock_code=self.stock_code,
                qty=qty,
                price=price,
                reason=f"매수 조건 충족: 현재가 {price} <= 목표가 {buy_price}",
                confidence=1.0,
            )

        if sell_price and price >= sell_price and holding_qty > 0:
            return Signal(
                action="sell",
                stock_code=self.stock_code,
                qty=min(qty, holding_qty),
                price=price,
                reason=f"매도 조건 충족: 현재가 {price} >= 목표가 {sell_price}",
                confidence=1.0,
            )

        return Signal(action="hold", stock_code=self.stock_code)