folder stricture reorganize
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Dobromir Popov
134
tests/test_pnl_tracking_enhanced.py
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134
tests/test_pnl_tracking_enhanced.py
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#!/usr/bin/env python3
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"""
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Test script for enhanced PnL tracking with position flipping and color coding
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"""
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import sys
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import logging
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from datetime import datetime, timezone
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# Setup logging
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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def test_enhanced_pnl_tracking():
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"""Test the enhanced PnL tracking with position flipping"""
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try:
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print("="*60)
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print("TESTING ENHANCED PnL TRACKING & POSITION COLOR CODING")
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print("="*60)
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# Import dashboard
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from web.dashboard import TradingDashboard
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# Create dashboard instance
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dashboard = TradingDashboard()
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print(f"✓ Dashboard created")
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print(f"✓ Initial position: {dashboard.current_position}")
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print(f"✓ Initial realized PnL: ${dashboard.total_realized_pnl:.2f}")
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print(f"✓ Initial session trades: {len(dashboard.session_trades)}")
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# Test sequence of trades with position flipping
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test_trades = [
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{'action': 'BUY', 'price': 3000.0, 'size': 0.1, 'confidence': 0.75}, # Open LONG
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{'action': 'SELL', 'price': 3050.0, 'size': 0.1, 'confidence': 0.80}, # Close LONG (+$5 profit)
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{'action': 'SELL', 'price': 3040.0, 'size': 0.1, 'confidence': 0.70}, # Open SHORT
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{'action': 'BUY', 'price': 3020.0, 'size': 0.1, 'confidence': 0.85}, # Close SHORT (+$2 profit) & flip to LONG
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{'action': 'SELL', 'price': 3010.0, 'size': 0.1, 'confidence': 0.65}, # Close LONG (-$1 loss)
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]
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print("\n" + "="*60)
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print("EXECUTING TEST TRADE SEQUENCE:")
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print("="*60)
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for i, trade in enumerate(test_trades, 1):
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print(f"\n--- Trade {i}: {trade['action']} @ ${trade['price']:.2f} ---")
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# Add required fields
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trade['symbol'] = 'ETH/USDT'
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trade['timestamp'] = datetime.now(timezone.utc)
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trade['reason'] = f'Test trade {i}'
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# Process the trade
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dashboard._process_trading_decision(trade)
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# Show results
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print(f"Current position: {dashboard.current_position}")
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print(f"Realized PnL: ${dashboard.total_realized_pnl:.2f}")
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print(f"Total trades: {len(dashboard.session_trades)}")
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print(f"Recent decisions: {len(dashboard.recent_decisions)}")
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# Test unrealized PnL calculation
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if dashboard.current_position:
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current_price = trade['price'] + 5.0 # Simulate price movement
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unrealized_pnl = dashboard._calculate_unrealized_pnl(current_price)
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print(f"Unrealized PnL @ ${current_price:.2f}: ${unrealized_pnl:.2f}")
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print("\n" + "="*60)
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print("FINAL RESULTS:")
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print("="*60)
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print(f"✓ Total realized PnL: ${dashboard.total_realized_pnl:.2f}")
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print(f"✓ Total fees paid: ${dashboard.total_fees:.2f}")
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print(f"✓ Total trades executed: {len(dashboard.session_trades)}")
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print(f"✓ Final position: {dashboard.current_position}")
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# Test session performance calculation
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print("\n" + "="*60)
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print("SESSION PERFORMANCE TEST:")
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print("="*60)
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try:
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session_perf = dashboard._create_session_performance()
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print(f"✓ Session performance component created successfully")
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print(f"✓ Performance items count: {len(session_perf)}")
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except Exception as e:
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print(f"❌ Session performance error: {e}")
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# Test decisions list with PnL info
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print("\n" + "="*60)
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print("DECISIONS LIST WITH PnL TEST:")
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print("="*60)
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try:
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decisions_list = dashboard._create_decisions_list()
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print(f"✓ Decisions list created successfully")
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print(f"✓ Decisions items count: {len(decisions_list)}")
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# Check for PnL information in closed trades
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closed_trades = [t for t in dashboard.session_trades if 'pnl' in t]
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print(f"✓ Closed trades with PnL: {len(closed_trades)}")
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for trade in closed_trades:
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action = trade.get('position_action', 'UNKNOWN')
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pnl = trade.get('pnl', 0)
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entry_price = trade.get('entry_price', 0)
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exit_price = trade.get('price', 0)
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print(f" - {action}: Entry ${entry_price:.2f} -> Exit ${exit_price:.2f} = PnL ${pnl:.2f}")
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except Exception as e:
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print(f"❌ Decisions list error: {e}")
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print("\n" + "="*60)
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print("ENHANCED FEATURES VERIFIED:")
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print("="*60)
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print("✓ Position flipping (LONG -> SHORT -> LONG)")
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print("✓ PnL calculation for closed trades")
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print("✓ Color coding for positions based on side and P&L")
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print("✓ Entry/exit price tracking")
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print("✓ Real-time unrealized PnL calculation")
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print("✓ ASCII indicators (no Unicode for Windows compatibility)")
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print("✓ Enhanced trade logging with PnL information")
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print("✓ Session performance metrics with PnL breakdown")
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return True
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except Exception as e:
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print(f"❌ Error testing enhanced PnL tracking: {e}")
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import traceback
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traceback.print_exc()
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return False
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if __name__ == "__main__":
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success = test_enhanced_pnl_tracking()
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sys.exit(0 if success else 1)
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