from __future__ import annotations

from app.models import Action, SignalPayload


def _parse_price_number(raw: str) -> float:
    text = raw.strip().replace(" ", "").replace(",", "")
    if text.startswith("$"):
        text = text[1:]
    return float(text)


def format_sl_distance_pct(entry_raw: str, sl_raw: str, *, is_long: bool) -> str:
    """Percent move from entry to SL; shown as risk (negative) for both sides."""
    entry = _parse_price_number(entry_raw)
    if entry == 0:
        raise ValueError("entry price is zero")
    sl = _parse_price_number(sl_raw)
    pct = (sl - entry) / entry * 100
    if not is_long:
        pct = -pct
    return f"({pct:.2f}%)"


def format_current_profit(entry_raw: str, current_raw: str, sl_raw: str, *, is_long: bool) -> str:
    """Signed profit % vs entry and RR vs original SL distance (e.g. +1.6% (RR 1:1.2))."""
    entry = _parse_price_number(entry_raw)
    if entry == 0:
        raise ValueError("entry price is zero")
    current = _parse_price_number(current_raw)
    sl = _parse_price_number(sl_raw)

    if is_long:
        profit_pct = (current - entry) / entry * 100
    else:
        profit_pct = (entry - current) / entry * 100

    sl_dist = abs(entry - sl)
    if sl_dist == 0:
        raise ValueError("stop loss equals entry")
    move = abs(current - entry)
    rr = move / sl_dist
    if profit_pct < 0:
        rr = -rr

    return f"{profit_pct:+.1f}% (RR 1:{rr:.1f})"


def format_price(raw: str) -> str:
    """Insert thousand spaces and prefix with $; preserve decimal precision from TV."""
    text = raw.strip().replace(" ", "").replace(",", "")
    if text.startswith("$"):
        text = text[1:]

    negative = text.startswith("-")
    if negative:
        text = text[1:]

    if "." in text:
        whole, frac = text.split(".", 1)
    else:
        whole, frac = text, None

    whole = whole.lstrip("0") or "0"
    grouped = _group_thousands(whole)
    if frac is not None:
        formatted = f"{grouped}.{frac}"
    else:
        formatted = grouped

    if negative:
        formatted = f"-{formatted}"
    return f"${formatted}"


def _group_thousands(digits: str) -> str:
    if len(digits) <= 3:
        return digits
    parts: list[str] = []
    while digits:
        parts.append(digits[-3:])
        digits = digits[:-3]
    return " ".join(reversed(parts))


def format_caption(signal: SignalPayload) -> str:
    is_long = signal.action == Action.LONG
    seq = signal.signal_sequence

    if seq == 1:
        label = "💚 Buy" if is_long else "💔 Sell"
    else:
        label = f"🌱 Buy Seq: {seq}" if is_long else f"🥀 Sell Seq: {seq}"

    if seq > 1:
        entry = format_price(signal.entry_price)
        price = format_price(signal.current_price)
        profit = format_current_profit(
            signal.entry_price,
            signal.current_price,
            signal.stop_loss_price,
            is_long=is_long,
        )
        return (
            f"<b>{signal.ticker}</b> {label}\n"
            f"\n"
            f"Entry price: {entry}\n"
            f"Price: {price}\n"
            f"Current profit: {profit}"
        )

    price = format_price(signal.entry_price)
    sl = format_price(signal.stop_loss_price)
    sl_pct = format_sl_distance_pct(
        signal.entry_price, signal.stop_loss_price, is_long=is_long
    )
    tp1 = format_price(signal.take_profit_1_price)
    tp2 = format_price(signal.take_profit_2_price)
    tp3 = format_price(signal.take_profit_3_price)

    return (
        f"<b>{signal.ticker}</b> {label}\n"
        f"\n"
        f"Price: {price}\n"
        f"SL: {sl} {sl_pct}\n"
        f"\n"
        f"TP1: {tp1}\n"
        f"TP2: {tp2}\n"
        f"TP3: {tp3}"
    )