"""Tests for the RSI strategy."""

from datetime import UTC, datetime
from decimal import Decimal

from strategies.rsi_strategy import RsiStrategy

from shared.models import Candle, OrderSide


def make_candle(close: float, idx: int = 0) -> Candle:
    return Candle(
        symbol="AAPL",
        timeframe="1m",
        open_time=datetime(2024, 1, 1, tzinfo=UTC),
        open=Decimal(str(close)),
        high=Decimal(str(close)),
        low=Decimal(str(close)),
        close=Decimal(str(close)),
        volume=Decimal("1.0"),
    )


def test_rsi_strategy_no_signal_insufficient_data():
    strategy = RsiStrategy()
    strategy.configure({})
    candle = make_candle(50000.0)
    result = strategy.on_candle(candle)
    assert result is None


def test_rsi_strategy_buy_signal_on_oversold():
    strategy = RsiStrategy()
    strategy.configure({"period": 14, "oversold": 30, "overbought": 70})

    # Feed 20 steadily declining prices to force RSI into oversold territory
    prices = [50000 - i * 500 for i in range(20)]
    signal = None
    for i, price in enumerate(prices):
        signal = strategy.on_candle(make_candle(price, i))

    # We may or may not get a signal depending on RSI calculation;
    # if a signal is returned, it must be a BUY
    if signal is not None:
        assert signal.side == OrderSide.BUY


def test_rsi_detects_bullish_divergence():
    """Bullish divergence: price makes lower low, RSI makes higher low."""
    strategy = RsiStrategy()
    strategy.configure({"period": 5, "oversold": 20, "overbought": 80})
    strategy._filter_enabled = False  # Disable filters to test divergence logic only

    # Sharp consecutive drop to 50 drives RSI near 0 (first swing low).
    # Big recovery, then gradual decline to 48 (lower price, but RSI > 0 = higher low).
    prices = [100.0] * 7
    prices += [85.0, 70.0, 55.0, 50.0]
    prices += [55.0, 65.0, 80.0, 95.0, 110.0, 120.0, 130.0, 135.0, 140.0, 142.0, 143.0, 144.0]
    prices += [142.0, 140.0, 138.0, 135.0, 130.0, 125.0, 120.0, 115.0, 110.0, 105.0]
    prices += [100.0, 95.0, 90.0, 85.0, 80.0, 75.0, 70.0, 65.0, 60.0, 55.0, 50.0, 48.0]
    prices += [52.0, 58.0]

    signals = []
    for p in prices:
        result = strategy.on_candle(make_candle(p))
        if result is not None:
            signals.append(result)

    divergence_signals = [s for s in signals if "divergence" in s.reason]
    assert len(divergence_signals) > 0, "Expected at least one bullish divergence signal"
    assert divergence_signals[0].side == OrderSide.BUY
    assert divergence_signals[0].conviction == 0.9
    assert "bullish divergence" in divergence_signals[0].reason


def test_rsi_detects_bearish_divergence():
    """Bearish divergence: price makes higher high, RSI makes lower high."""
    strategy = RsiStrategy()
    strategy.configure({"period": 5, "oversold": 20, "overbought": 80})
    strategy._filter_enabled = False  # Disable filters to test divergence logic only

    # Sharp consecutive rise to 160 drives RSI very high (first swing high).
    # Deep pullback, then rise to 162 (higher price) but with a dip right before
    # the peak to dampen RSI (lower high).
    prices = [100.0] * 7
    prices += [110.0, 120.0, 130.0, 140.0, 150.0, 160.0]
    prices += [155.0, 145.0, 130.0, 115.0, 100.0, 90.0, 80.0]
    prices += [90.0, 100.0, 110.0, 120.0, 130.0, 140.0, 150.0]
    prices += [145.0, 162.0]
    prices += [155.0, 148.0]

    signals = []
    for p in prices:
        result = strategy.on_candle(make_candle(p))
        if result is not None:
            signals.append(result)

    divergence_signals = [s for s in signals if "divergence" in s.reason]
    assert len(divergence_signals) > 0, "Expected at least one bearish divergence signal"
    assert divergence_signals[0].side == OrderSide.SELL
    assert divergence_signals[0].conviction == 0.9
    assert "bearish divergence" in divergence_signals[0].reason