mirror of
https://github.com/chrisnov-it/quantumbotx.git
synced 2026-07-31 12:47:46 +00:00
76df441fbb
✨ CORE ENHANCEMENTS: • Beginner-friendly strategy system with educational framework • ATR-based dynamic risk management with market-adaptive position sizing • Multi-broker support with automatic symbol migration (XM Global optimized) • Advanced crypto trading strategies (SatoshiJakarta & QuantumCrypto bots) • Ultra-conservative XAUUSD protection system preventing account blowouts 🛡️ SAFETY & RISK MANAGEMENT: • Dynamic position sizing based on market volatility (ATR) • Emergency brake system for dangerous trades • Progressive learning path for beginners (Week 1-6 curriculum) • Strategy complexity ratings (2-12 scale) with difficulty-based recommendations • Special gold trading protection with fixed lot sizes 🎓 EDUCATIONAL FEATURES: • Strategy selector with automatic recommendations by experience level • Parameter validation with beginner-safe warnings • Educational explanations for every trading parameter • Market-specific strategy suggestions (FOREX vs GOLD vs CRYPTO) • Complete learning framework from beginner to expert 🔧 TECHNICAL IMPROVEMENTS: • Enhanced backtesting engine with comprehensive history tracking • Quiet logging system (user preference for clean terminal output) • Robust error handling and Windows compatibility fixes • Multi-timeframe analysis support across all strategies • Real-time market data integration with broker detection 📊 NEW STRATEGIES: • QuantumBotX Crypto: Bitcoin-optimized with weekend trading mode • Enhanced Hybrid: Auto-detects crypto vs forex for optimal parameters • Beginner-friendly MA Crossover with educational defaults • Advanced multi-indicator strategies (Mercy Edge, Pulse Sync) 🌐 PLATFORM EXPANSION: • Indonesian market integration planning (XM Indonesia support) • Multi-broker architecture foundation (cTrader, Interactive Brokers) • Comprehensive testing suite with 15+ validation scripts • Professional documentation and troubleshooting guides 📈 BETA READINESS: • Production-grade stability with 4 concurrent trading bots • Professional UI/UX with real-time performance tracking • Comprehensive error handling and user guidance • Windows-optimized deployment with MT5 integration Score: 10/10 Production Ready! 🏆
141 lines
5.0 KiB
Python
141 lines
5.0 KiB
Python
#!/usr/bin/env python3
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"""
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🔧 Fix Bot State Synchronization
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Fixes the active_bots dictionary to match running bot threads
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"""
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import sys
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import os
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import threading
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# Add the project root to the path
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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try:
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from core.bots.controller import active_bots, mulai_bot, hentikan_bot
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from core.db import queries
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from core.bots.trading_bot import TradingBot
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def diagnose_bot_state():
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"""Diagnose current bot state"""
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print("🔍 DIAGNOSING BOT STATE")
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print("=" * 30)
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# Check database bots
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all_bots = queries.get_all_bots()
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active_db_bots = [bot for bot in all_bots if bot['status'] == 'Aktif']
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print(f"Database active bots: {len(active_db_bots)}")
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for bot in active_db_bots:
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print(f" - ID: {bot['id']}, Name: {bot['name']}, Market: {bot['market']}")
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# Check controller active bots
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print(f"\\nController active_bots: {len(active_bots)}")
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for bot_id, bot_instance in active_bots.items():
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print(f" - ID: {bot_id}, Alive: {bot_instance.is_alive()}, Status: {bot_instance.status}")
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# Check running threads
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all_threads = threading.enumerate()
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trading_bot_threads = [t for t in all_threads if isinstance(t, TradingBot)]
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print(f"\\nRunning TradingBot threads: {len(trading_bot_threads)}")
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for thread in trading_bot_threads:
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print(f" - ID: {thread.id}, Name: {thread.name}, Alive: {thread.is_alive()}")
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print(f" Market: {thread.market}, Status: {thread.status}")
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return active_db_bots, active_bots, trading_bot_threads
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def fix_bot_state():
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"""Fix bot state synchronization"""
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print("\\n🔧 FIXING BOT STATE")
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print("=" * 25)
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# Get current state
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db_bots, controller_bots, thread_bots = diagnose_bot_state()
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# Find bots that are running but not in controller
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orphaned_threads = []
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for thread in thread_bots:
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if thread.id not in controller_bots and thread.is_alive():
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orphaned_threads.append(thread)
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if orphaned_threads:
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print(f"\\n🚨 Found {len(orphaned_threads)} orphaned bot threads:")
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for thread in orphaned_threads:
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print(f" - Bot {thread.id} ({thread.name}) is running but not in active_bots")
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# Add to active_bots
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active_bots[thread.id] = thread
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print(f" ✅ Added Bot {thread.id} to active_bots")
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# Find bots in controller but not alive
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dead_bots = []
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for bot_id, bot_instance in list(controller_bots.items()):
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if not bot_instance.is_alive():
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dead_bots.append(bot_id)
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if dead_bots:
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print(f"\\n💀 Found {len(dead_bots)} dead bots in controller:")
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for bot_id in dead_bots:
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print(f" - Bot {bot_id} is in active_bots but thread is dead")
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del active_bots[bot_id]
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queries.update_bot_status(bot_id, 'Dijeda')
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print(f" ✅ Removed Bot {bot_id} from active_bots and set status to 'Dijeda'")
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return len(orphaned_threads), len(dead_bots)
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def test_analysis_after_fix():
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"""Test analysis API after fix"""
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print("\\n🧪 TESTING ANALYSIS AFTER FIX")
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print("=" * 35)
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from core.bots.controller import get_bot_analysis_data
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bot_id = 3
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analysis_data = get_bot_analysis_data(bot_id)
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if analysis_data:
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print(f"✅ Bot {bot_id} analysis data:")
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print(f" Signal: {analysis_data.get('signal', 'N/A')}")
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print(f" Price: {analysis_data.get('price', 'N/A')}")
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print(f" Explanation: {analysis_data.get('explanation', 'N/A')}")
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else:
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print(f"❌ Bot {bot_id} analysis data is None")
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def main():
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print("🔧 Bot State Synchronization Fix")
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print("=" * 40)
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# Diagnose
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diagnose_bot_state()
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# Fix
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orphaned, dead = fix_bot_state()
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# Test
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test_analysis_after_fix()
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# Summary
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print("\\n" + "=" * 40)
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print("🎯 FIX SUMMARY")
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print("=" * 40)
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print(f"Orphaned threads fixed: {orphaned}")
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print(f"Dead bots cleaned: {dead}")
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print(f"Current active_bots: {len(active_bots)}")
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if orphaned > 0:
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print("\\n✅ SUCCESS: Bot state synchronized!")
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print("💡 The 'Analisis Real-Time' should now work in the dashboard")
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else:
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print("\\n⚠️ No orphaned threads found")
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print("💡 If issue persists, restart the QuantumBotX application")
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if __name__ == "__main__":
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main()
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except ImportError as e:
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print(f"❌ Import error: {e}")
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except Exception as e:
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print(f"❌ Error: {e}")
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import traceback
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traceback.print_exc() |