"""Tests for RSI strategy."""

import pytest
import pandas as pd
from src.strategies.technical.rsi_strategy import RSIStrategy


class TestRSIStrategy:
    """Tests for RSIStrategy."""
    
    @pytest.fixture
    def strategy(self):
        """Create RSI strategy instance."""
        return RSIStrategy(
            strategy_id=1,
            name="test_rsi",
            symbol="BTC/USD",
            timeframe="1h",
            parameters={
                "rsi_period": 14,
                "overbought": 70,
                "oversold": 30
            }
        )
    
    @pytest.fixture
    def sample_data(self):
        """Create sample price data."""
        dates = pd.date_range(start='2025-01-01', periods=50, freq='1H')
        # Create data with clear trend for RSI calculation
        prices = [100 - i * 0.5 for i in range(50)]  # Downward trend
        return pd.DataFrame({
            'timestamp': dates,
            'open': prices,
            'high': [p + 1 for p in prices],
            'low': [p - 1 for p in prices],
            'close': prices,
            'volume': [1000.0] * 50
        })
    
    @pytest.mark.asyncio
    async def test_rsi_strategy_initialization(self, strategy):
        """Test RSI strategy initialization."""
        assert strategy.rsi_period == 14
        assert strategy.overbought == 70
        assert strategy.oversold == 30
    
    @pytest.mark.asyncio
    async def test_on_data(self, strategy, sample_data):
        """Test on_data method."""
        await strategy.on_data(sample_data)
        assert len(strategy.current_data) > 0
    
    @pytest.mark.asyncio
    async def test_generate_signal_oversold(self, strategy, sample_data):
        """Test signal generation for oversold condition."""
        await strategy.on_data(sample_data)
        # Calculate RSI - should be low for downward trend
        from src.data.indicators import get_indicators
        indicators = get_indicators()
        rsi = indicators.rsi(strategy.current_data['close'], period=14)
        
        # If RSI is low, should generate buy signal
        signal = await strategy.generate_signal()
        assert "signal" in signal
        assert signal["signal"] in ["buy", "sell", "hold"]