Files
trading_bot_v3/components/EnhancedAILearningPanel.tsx
mindesbunister 0e1fab3639 fix: Remove fallback trading data from AI Learning Panel
- Fixed component showing mock data (1120 analyses, 66.7% win rate) instead of real data
- Updated fallback logic to show empty/zero values when API fails instead of fake data
- Dashboard will now display actual 9,413 analyses and real PATTERN RECOGNITION phase
- Removed misleading fallback statistics that showed fake trading performance
- Component now properly uses real AI learning API data when available

The dashboard should now show the correct learning system status with real data.
2025-07-28 14:23:56 +02:00

527 lines
19 KiB
TypeScript

import React, { useState, useEffect } from 'react';
interface LearningData {
// AI Learning API data
totalAnalyses?: number;
totalDecisions?: number;
totalOutcomes?: number;
daysActive?: number;
avgAccuracy?: number;
winRate?: number;
confidenceLevel?: number;
phase?: string;
nextMilestone?: string;
recommendation?: string;
// Legacy learning system data
learningSystem: {
enabled: boolean;
learningActive?: boolean;
activeDecisions?: number;
message?: string;
recommendation?: string;
report?: {
summary?: {
totalDecisions?: number;
successRate?: number;
systemConfidence?: number;
};
insights?: {
thresholds?: any;
confidenceLevel?: number;
};
recommendations?: Array<{
type: string;
message: string;
priority: string;
} | string>;
};
};
visibility?: {
decisionTrackingActive?: boolean;
learningDatabaseConnected?: boolean;
aiEnhancementsActive?: boolean;
lastUpdateTime?: string;
};
automationStatus?: any;
realTradingData?: {
statistics?: {
totalTrades?: number;
wins?: number;
losses?: number;
winRate?: number;
totalPnl?: number;
winsPnl?: number;
lossesPnl?: number;
avgWin?: number;
avgLoss?: number;
profitFactor?: number;
};
trades?: Array<{
symbol: string;
side: string;
size: number;
entryPrice: number;
exitPrice: number;
pnl: number;
status: string;
timestamp: number;
outcome: string;
}>;
totalAnalyses?: number;
avgAccuracy?: number;
confidenceLevel?: number;
phase?: string;
nextMilestone?: string;
recommendation?: string;
daysActive?: number;
} | null;
}
const EnhancedAILearningPanel = () => {
const [learningData, setLearningData] = useState<LearningData | null>(null);
const [loading, setLoading] = useState(true);
const [error, setError] = useState<string | null>(null);
const fetchLearningStatus = async () => {
try {
setLoading(true);
// Get learning status, automation status, and real Drift trading data
const [learningResponse, statusResponse, aiLearningResponse] = await Promise.all([
fetch('/api/automation/learning-status'),
fetch('/api/automation/status'),
fetch('/api/ai-learning-status')
]);
const learningData = await learningResponse.json();
const statusData = await statusResponse.json();
const aiLearningData = await aiLearningResponse.json();
const aiData = aiLearningData.success ? aiLearningData.data : {
// Fallback data when AI learning API is unavailable
totalAnalyses: 0,
totalDecisions: 0,
totalOutcomes: 0,
daysActive: 0,
avgAccuracy: 0,
winRate: 0,
confidenceLevel: 0,
phase: 'UNKNOWN',
nextMilestone: '',
recommendation: 'Learning API unavailable',
statistics: {
totalTrades: 0,
wins: 0,
losses: 0,
winRate: 0,
totalPnl: 0,
winsPnl: 0,
lossesPnl: 0,
avgWin: 0,
avgLoss: 0,
profitFactor: 0
}
};
// Merge current status with real AI learning data
const safeData = {
// Include AI learning data at the top level
totalAnalyses: aiData.totalAnalyses || 0,
totalDecisions: aiData.totalDecisions || 0,
totalOutcomes: aiData.totalOutcomes || 0,
daysActive: aiData.daysActive || 0,
avgAccuracy: aiData.avgAccuracy || 0,
winRate: aiData.winRate || 0,
confidenceLevel: aiData.confidenceLevel || 0,
phase: aiData.phase || 'UNKNOWN',
nextMilestone: aiData.nextMilestone || '',
recommendation: aiData.recommendation || '',
learningSystem: {
enabled: learningData.learningSystem?.enabled || (aiData.totalAnalyses > 0),
message: (aiData.totalAnalyses > 0) ?
`Learning system active with ${aiData.totalAnalyses} analyses` :
(learningData.message || 'Learning system not available'),
activeDecisions: learningData.learningSystem?.activeDecisions || aiData.totalDecisions || 0
},
visibility: learningData.visibility || {
decisionTrackingActive: aiData.totalDecisions > 0,
learningDatabaseConnected: aiData.totalAnalyses > 0,
aiEnhancementsActive: aiData.totalDecisions > 0,
lastUpdateTime: new Date().toISOString()
},
automationStatus: statusData,
realTradingData: aiData
};
setLearningData(safeData);
setError(null);
} catch (err) {
console.error('Error fetching learning status:', err);
setError(err instanceof Error ? err.message : 'Unknown error');
// Set default data structure on error
setLearningData({
totalAnalyses: 0,
totalDecisions: 0,
totalOutcomes: 0,
daysActive: 0,
avgAccuracy: 0,
winRate: 0,
confidenceLevel: 0,
phase: 'UNKNOWN',
nextMilestone: '',
recommendation: '',
learningSystem: {
enabled: false,
message: 'Failed to fetch learning status',
activeDecisions: 0
},
visibility: {
decisionTrackingActive: false,
learningDatabaseConnected: false,
aiEnhancementsActive: false,
lastUpdateTime: new Date().toISOString()
},
automationStatus: null,
realTradingData: {
// Error fallback - show empty data
statistics: {
totalTrades: 0,
wins: 0,
losses: 0,
winRate: 0,
totalPnl: 0,
winsPnl: 0,
lossesPnl: 0,
avgWin: 0,
avgLoss: 0,
profitFactor: 0
},
totalAnalyses: 0,
avgAccuracy: 0,
confidenceLevel: 0,
phase: 'ERROR',
nextMilestone: 'Fix API connection',
recommendation: 'Learning system API unavailable',
daysActive: 0
}
});
} finally {
setLoading(false);
}
};
useEffect(() => {
fetchLearningStatus();
// Refresh every 30 seconds
const interval = setInterval(fetchLearningStatus, 30000);
return () => clearInterval(interval);
}, []);
if (loading) {
return (
<div className="bg-gradient-to-br from-purple-900/20 to-blue-900/20 rounded-xl p-6 border border-purple-500/30">
<div className="flex items-center space-x-3 mb-4">
<div className="w-3 h-3 bg-purple-500 rounded-full animate-pulse"></div>
<h3 className="text-lg font-semibold bg-gradient-to-r from-purple-400 to-blue-400 bg-clip-text text-transparent">
🧠 AI Learning System
</h3>
</div>
<div className="text-gray-400">Loading learning status...</div>
</div>
);
}
if (error) {
return (
<div className="bg-gradient-to-br from-red-900/20 to-orange-900/20 rounded-xl p-6 border border-red-500/30">
<div className="flex items-center space-x-3 mb-4">
<div className="w-3 h-3 bg-red-500 rounded-full"></div>
<h3 className="text-lg font-semibold text-red-400">
🧠 AI Learning System
</h3>
</div>
<div className="text-red-400">Error: {error}</div>
<button
onClick={fetchLearningStatus}
className="mt-3 px-4 py-2 bg-red-600/20 hover:bg-red-600/30 text-red-400 rounded-lg transition-colors"
>
Retry
</button>
</div>
);
}
if (!learningData) {
return null;
}
const { learningSystem, visibility } = learningData;
// Safety check for learningSystem
if (!learningSystem) {
return (
<div className="bg-gradient-to-br from-gray-900/20 to-gray-800/20 rounded-xl p-6 border border-gray-500/30">
<div className="flex items-center space-x-3 mb-4">
<div className="w-3 h-3 bg-gray-500 rounded-full"></div>
<h3 className="text-lg font-semibold bg-gradient-to-r from-purple-400 to-blue-400 bg-clip-text text-transparent">
🧠 AI Learning System
</h3>
</div>
<div className="text-gray-400">Loading learning system data...</div>
</div>
);
}
const renderLearningStatus = () => {
// Show as active if we have real AI learning data from the new API
const hasLearningData = (learningData?.totalAnalyses || 0) > 0;
const hasDecisions = (learningData?.totalDecisions || 0) > 0;
const hasTradeData = (learningData?.realTradingData?.statistics?.totalTrades || 0) > 0;
const isSystemActive = hasLearningData || hasDecisions || hasTradeData;
if (!isSystemActive) {
return (
<div className="space-y-4">
<div className="flex items-center space-x-2">
<div className="w-3 h-3 bg-yellow-500 rounded-full"></div>
<span className="text-yellow-400 font-medium">Learning System Not Active</span>
</div>
<div className="bg-yellow-900/20 rounded-lg p-4 border border-yellow-500/30">
<div className="text-yellow-300 text-sm">
{learningSystem?.message || 'The AI learning system is not currently integrated with the automation.'}
</div>
{learningSystem?.recommendation && (
<div className="text-yellow-400 text-sm mt-2 font-medium">
💡 {learningSystem.recommendation}
</div>
)}
</div>
<div className="text-gray-400 text-sm">
Decision recording: Not active<br/>
Learning database: Not connected<br/>
AI enhancements: Not applied
</div>
</div>
);
}
return (
<div className="space-y-4">
<div className="flex items-center space-x-2">
<div className="w-3 h-3 bg-green-500 rounded-full animate-pulse"></div>
<span className="text-green-400 font-medium">AI Learning Active</span>
</div>
{learningSystem?.report && (
<div className="grid grid-cols-1 md:grid-cols-3 gap-4">
<div className="bg-blue-900/20 rounded-lg p-4 border border-blue-500/30">
<div className="text-blue-300 text-sm font-medium">Total Decisions</div>
<div className="text-2xl font-bold text-blue-400">
{learningSystem.report.summary?.totalDecisions || 0}
</div>
</div>
<div className="bg-purple-900/20 rounded-lg p-4 border border-purple-500/30">
<div className="text-purple-300 text-sm font-medium">Success Rate</div>
<div className="text-2xl font-bold text-purple-400">
{learningSystem.report.summary?.successRate || 0}%
</div>
</div>
<div className="bg-green-900/20 rounded-lg p-4 border border-green-500/30">
<div className="text-green-300 text-sm font-medium">Confidence</div>
<div className="text-2xl font-bold text-green-400">
{learningSystem.report.summary?.systemConfidence || 0}%
</div>
</div>
</div>
)}
<div className="bg-gray-800/50 rounded-lg p-4 border border-gray-600/30">
<div className="text-gray-300 text-sm font-medium mb-2">🔍 Learning Visibility</div>
<div className="grid grid-cols-2 gap-2 text-sm">
<div className="flex items-center space-x-2">
<div className={`w-2 h-2 rounded-full ${visibility?.decisionTrackingActive ? 'bg-green-500' : 'bg-gray-500'}`}></div>
<span className={visibility?.decisionTrackingActive ? 'text-green-400' : 'text-gray-400'}>
Decision Tracking
</span>
</div>
<div className="flex items-center space-x-2">
<div className={`w-2 h-2 rounded-full ${visibility?.learningDatabaseConnected ? 'bg-green-500' : 'bg-gray-500'}`}></div>
<span className={visibility?.learningDatabaseConnected ? 'text-green-400' : 'text-gray-400'}>
Database Connected
</span>
</div>
<div className="flex items-center space-x-2">
<div className={`w-2 h-2 rounded-full ${visibility?.aiEnhancementsActive ? 'bg-green-500' : 'bg-gray-500'}`}></div>
<span className={visibility?.aiEnhancementsActive ? 'text-green-400' : 'text-gray-400'}>
AI Enhancements
</span>
</div>
<div className="flex items-center space-x-2">
<div className={`w-2 h-2 rounded-full ${(learningSystem?.activeDecisions || 0) > 0 ? 'bg-blue-500' : 'bg-gray-500'}`}></div>
<span className={(learningSystem?.activeDecisions || 0) > 0 ? 'text-blue-400' : 'text-gray-400'}>
Active Decisions ({learningSystem?.activeDecisions || 0})
</span>
</div>
</div>
</div>
{learningSystem?.report?.insights && (
<div className="bg-purple-900/20 rounded-lg p-4 border border-purple-500/30">
<div className="text-purple-300 text-sm font-medium mb-2">🎯 Learning Insights</div>
<div className="text-sm text-gray-300">
{learningSystem.report.insights.thresholds && (
<div>Current Thresholds: {JSON.stringify(learningSystem.report.insights.thresholds)}</div>
)}
{learningSystem.report.insights.confidenceLevel && (
<div>Confidence Level: {learningSystem.report.insights.confidenceLevel}%</div>
)}
</div>
</div>
)}
{learningSystem?.report?.recommendations && learningSystem.report.recommendations.length > 0 && (
<div className="bg-yellow-900/20 rounded-lg p-4 border border-yellow-500/30">
<div className="text-yellow-300 text-sm font-medium mb-2">💡 AI Recommendations</div>
<div className="space-y-1">
{learningSystem.report.recommendations.map((rec: any, index: number) => (
<div key={index} className="text-sm text-yellow-400">
{typeof rec === 'string' ? rec : rec.message || rec.type || 'No message'}
</div>
))}
</div>
</div>
)}
</div>
);
};
const renderTradingStats = () => {
const stats = learningData?.realTradingData?.statistics;
const isAutomationActive = learningData?.automationStatus?.isRunning || learningData?.learningSystem?.enabled;
if (!stats) {
return (
<div className="bg-gray-800/30 rounded-lg p-4 border border-gray-600/30 mb-6">
<div className="text-gray-300 text-sm font-medium mb-2">📊 Trading Performance</div>
<div className="text-gray-400 text-sm">No trading data available yet</div>
</div>
);
}
return (
<div className="bg-gradient-to-br from-green-900/20 to-emerald-900/20 rounded-lg p-4 border border-green-500/30 mb-6">
<div className="text-green-300 text-sm font-medium mb-4 flex items-center justify-between">
<span>📊 Trading Performance</span>
{isAutomationActive && (
<span className="text-xs bg-green-500/20 text-green-400 px-2 py-1 rounded-full">LIVE</span>
)}
</div>
<div className="grid grid-cols-2 md:grid-cols-4 gap-4 mb-4">
<div className="text-center">
<div className="text-2xl font-bold text-green-400">
{stats?.totalTrades || 0}
</div>
<div className="text-green-300 text-xs">Total Trades</div>
</div>
<div className="text-center">
<div className="text-2xl font-bold text-blue-400">
{stats?.winRate?.toFixed(1) || '0.0'}%
</div>
<div className="text-blue-300 text-xs">Win Rate</div>
</div>
<div className="text-center">
<div className={`text-2xl font-bold ${(stats?.totalPnl || 0) >= 0 ? 'text-green-400' : 'text-red-400'}`}>
${(stats?.totalPnl || 0) >= 0 ? '+' : ''}{(stats?.totalPnl || 0).toFixed(2)}
</div>
<div className="text-gray-300 text-xs">Total PnL</div>
</div>
<div className="text-center">
<div className="text-2xl font-bold text-purple-400">
{(learningData?.realTradingData?.confidenceLevel || 0).toFixed(1)}%
</div>
<div className="text-purple-300 text-xs">AI Confidence</div>
</div>
</div>
{stats && (
<div className="grid grid-cols-1 md:grid-cols-2 gap-4 text-sm">
<div className="space-y-2">
<div className="flex justify-between">
<span className="text-gray-400">Winning Trades:</span>
<span className="text-green-400">{stats.wins || 0}</span>
</div>
<div className="flex justify-between">
<span className="text-gray-400">Losing Trades:</span>
<span className="text-red-400">{stats.losses || 0}</span>
</div>
<div className="flex justify-between">
<span className="text-gray-400">Avg Win:</span>
<span className="text-green-400">${(stats.avgWin || 0).toFixed(2)}</span>
</div>
</div>
<div className="space-y-2">
<div className="flex justify-between">
<span className="text-gray-400">Avg Loss:</span>
<span className="text-red-400">${(stats.avgLoss || 0).toFixed(2)}</span>
</div>
<div className="flex justify-between">
<span className="text-gray-400">Profit Factor:</span>
<span className="text-purple-400">{(stats.profitFactor || 0).toFixed(2)}</span>
</div>
<div className="flex justify-between">
<span className="text-gray-400">Win PnL:</span>
<span className="text-green-400">${(stats.winsPnl || 0).toFixed(2)}</span>
</div>
</div>
</div>
)}
</div>
);
};
return (
<div className="bg-gradient-to-br from-purple-900/20 to-blue-900/20 rounded-xl p-6 border border-purple-500/30">
<div className="flex items-center justify-between mb-6">
<div className="flex items-center space-x-3">
<div className={`w-3 h-3 rounded-full ${learningSystem?.enabled ? 'bg-green-500 animate-pulse' : 'bg-yellow-500'}`}></div>
<h3 className="text-lg font-semibold bg-gradient-to-r from-purple-400 to-blue-400 bg-clip-text text-transparent">
🧠 AI Learning System
</h3>
</div>
<button
onClick={fetchLearningStatus}
className="px-3 py-1 bg-purple-600/20 hover:bg-purple-600/30 text-purple-400 rounded-lg transition-colors text-sm"
>
Refresh
</button>
</div>
{renderTradingStats()}
{renderLearningStatus()}
{visibility?.lastUpdateTime && (
<div className="mt-4 pt-4 border-t border-gray-600/30">
<div className="text-gray-500 text-xs">
Last updated: {new Date(visibility.lastUpdateTime).toLocaleTimeString()}
</div>
</div>
)}
</div>
);
};
export default EnhancedAILearningPanel;