"""ATR Wilder smoothing + entry/stop/target 계산."""

import pandas as pd


def compute_atr_wilder(df_one_ticker: pd.DataFrame, window: int = 14) -> float:
    """단일 종목 DataFrame(date·open·high·low·close)에 대해 Wilder ATR 마지막 값."""
    g = df_one_ticker.sort_values("date").copy()
    high = g["high"].astype(float)
    low  = g["low"].astype(float)
    close = g["close"].astype(float)
    prev_close = close.shift(1)
    tr = pd.concat([
        (high - low),
        (high - prev_close).abs(),
        (low  - prev_close).abs(),
    ], axis=1).max(axis=1)
    atr = tr.ewm(alpha=1 / window, adjust=False).mean()
    return float(atr.iloc[-1])


def round_won(x: float) -> int:
    return int(round(x))


def plan_positions(ctx, tickers: list, params: dict) -> dict:
    """각 ticker 에 대해 entry/stop/target/atr14 반환."""
    atr_window = int(params.get("atr_window", 14))
    stop_mult  = float(params.get("atr_stop_mult", 2.0))
    rr         = float(params.get("rr_ratio", 2.0))

    prices = ctx.prices.sort_values("date")
    out: dict = {}
    for t in tickers:
        sub = prices[prices["ticker"] == t]
        if sub.empty:
            continue
        close = float(sub["close"].iloc[-1])
        atr14 = compute_atr_wilder(sub, window=atr_window)
        entry  = round_won(close * 1.005)
        stop   = round_won(close - stop_mult * atr14)
        target = round_won(entry + rr * (entry - stop))
        r_pct  = (entry - stop) / entry * 100 if entry else 0.0
        out[t] = {
            "entry_price":  entry,
            "stop_price":   stop,
            "target_price": target,
            "atr14":        atr14,
            "r_pct":        r_pct,
        }
    return out