
REMOVED DUPLICATES: - web/dashboard.py (533KB, 10474 lines) - Legacy massive file - web/dashboard_backup.py (504KB, 10022 lines) - Backup copy - web/temp_dashboard.py (132KB, 2577 lines) - Temporary file - web/scalping_dashboard.py (146KB, 2812 lines) - Duplicate functionality - web/enhanced_scalping_dashboard.py (65KB, 1407 lines) - Duplicate functionality REMOVED RUN SCRIPTS: - run_dashboard.py - Pointed to deleted legacy dashboard - run_enhanced_scalping_dashboard.py - For deleted dashboard - run_cob_dashboard.py - Simple duplicate - run_fixed_dashboard.py - Temporary fix - run_main_dashboard.py - Duplicate functionality - run_enhanced_system.py - Commented out file - simple_cob_dashboard.py - Integrated into main dashboards - simple_dashboard_fix.py - Temporary fix - start_enhanced_dashboard.py - Empty file UPDATED REFERENCES: - Fixed imports in test files to use clean_dashboard - Updated .cursorrules to reference clean_dashboard - Updated launch.json with templated dashboard config - Fixed broken import references RESULTS: - Removed ~1.4GB of duplicate dashboard code - Removed 8 duplicate run scripts - Kept essential: clean_dashboard.py, templated_dashboard.py, run_clean_dashboard.py - All launch configurations still work - Project is now slim and maintainable
83 lines
3.0 KiB
Python
83 lines
3.0 KiB
Python
#!/usr/bin/env python3
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"""
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Test script for enhanced trading dashboard with WebSocket support
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"""
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import sys
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import logging
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from datetime import datetime
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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_dashboard():
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"""Test the enhanced dashboard functionality"""
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try:
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print("="*60)
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print("TESTING ENHANCED TRADING DASHBOARD")
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print("="*60)
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# Import dashboard
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from web.clean_dashboard import CleanTradingDashboard as TradingDashboard
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WEBSOCKET_AVAILABLE = True
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print(f"✓ Dashboard module imported successfully")
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print(f"✓ WebSocket support available: {WEBSOCKET_AVAILABLE}")
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# Create dashboard instance
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dashboard = TradingDashboard()
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print(f"✓ Dashboard instance created")
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print(f"✓ Tick cache capacity: {dashboard.tick_cache.maxlen} ticks (15 min)")
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print(f"✓ 1s bars capacity: {dashboard.one_second_bars.maxlen} bars (15 min)")
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print(f"✓ WebSocket streaming: {dashboard.is_streaming}")
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print(f"✓ Min confidence threshold: {dashboard.min_confidence_threshold}")
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print(f"✓ Signal cooldown: {dashboard.signal_cooldown}s")
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# Test tick cache methods
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tick_cache = dashboard.get_tick_cache_for_training(minutes=5)
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print(f"✓ Tick cache method works: {len(tick_cache)} ticks")
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# Test 1s bars method
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bars_df = dashboard.get_one_second_bars(count=100)
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print(f"✓ 1s bars method works: {len(bars_df)} bars")
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# Test chart creation
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try:
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chart = dashboard._create_price_chart("ETH/USDT")
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print(f"✓ Price chart creation works")
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except Exception as e:
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print(f"⚠ Price chart creation: {e}")
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print("\n" + "="*60)
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print("ENHANCED DASHBOARD FEATURES:")
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print("="*60)
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print("✓ Real-time WebSocket tick streaming (when websocket-client installed)")
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print("✓ 1-second bar charts with volume")
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print("✓ 15-minute tick cache for model training")
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print("✓ Confidence-based signal execution")
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print("✓ Clear signal vs execution distinction")
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print("✓ Real-time unrealized P&L display")
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print("✓ Compact layout with system status icon")
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print("✓ Scalping-optimized signal generation")
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print("\n" + "="*60)
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print("TO START THE DASHBOARD:")
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print("="*60)
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print("1. Install WebSocket support: pip install websocket-client")
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print("2. Run: python -c \"from web.dashboard import TradingDashboard; TradingDashboard().run()\"")
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print("3. Open browser: http://127.0.0.1:8050")
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print("="*60)
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return True
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except Exception as e:
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print(f"❌ Error testing dashboard: {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_dashboard()
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sys.exit(0 if success else 1) |