Fix: Correct all database model names from camelCase to snake_case
- Fixed ai-analytics API: Created missing endpoint and corrected model names - Fixed ai-learning-status.ts: Updated to use ai_learning_data and trades models - Fixed batch-analysis route: Corrected ai_learning_data model references - Fixed analysis-details route: Updated automation_sessions and trades models - Fixed test scripts: Updated model names in check-learning-data.js and others - Disabled conflicting route files to prevent Next.js confusion All APIs now use correct snake_case model names matching Prisma schema: - ai_learning_data (not aILearningData) - automation_sessions (not automationSession) - trades (not trade) This resolves 'Unable to load REAL AI analytics' frontend errors.
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mindesbunister
166
app/api/automation/analysis-details/route-fixed.js.disabled
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166
app/api/automation/analysis-details/route-fixed.js.disabled
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import { NextResponse } from 'next/server'
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import { PrismaClient } from '@prisma/client'
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const prisma = new PrismaClient()
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export async function GET() {
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try {
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// Get the latest automation session
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const session = await prisma.automationSession.findFirst({
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where: {
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userId: 'default-user',
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symbol: 'SOLUSD',
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timeframe: '1h'
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},
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orderBy: { createdAt: 'desc' }
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})
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if (!session) {
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return NextResponse.json({
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success: false,
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message: 'No automation session found'
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})
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}
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// Get real trades from database
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const recentTrades = await prisma.trade.findMany({
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where: {
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userId: session.userId,
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symbol: session.symbol
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},
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orderBy: { createdAt: 'desc' },
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take: 10
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})
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// Calculate real statistics
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const completedTrades = recentTrades.filter(t => t.status === 'COMPLETED')
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const successfulTrades = completedTrades.filter(t => (t.profit || 0) > 0)
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const totalPnL = completedTrades.reduce((sum, trade) => sum + (trade.profit || 0), 0)
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const winRate = completedTrades.length > 0 ? (successfulTrades.length / completedTrades.length * 100) : 0
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// Convert database trades to UI format
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const formattedTrades = recentTrades.map(trade => ({
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id: trade.id,
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type: 'MARKET',
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side: trade.side,
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amount: trade.amount,
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tradingAmount: 100, // Default trading amount
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leverage: trade.leverage || 1,
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positionSize: trade.amount,
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price: trade.price,
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status: trade.status,
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pnl: trade.profit?.toFixed(2) || '0.00',
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pnlPercent: trade.profit ? ((trade.profit / 100) * 100).toFixed(2) + '%' : '0.00%',
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createdAt: trade.createdAt,
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entryTime: trade.createdAt,
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exitTime: trade.closedAt,
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actualDuration: trade.closedAt ?
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new Date(trade.closedAt).getTime() - new Date(trade.createdAt).getTime() : 0,
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durationText: trade.status === 'COMPLETED' ? '0m' : 'Active',
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reason: `${trade.side} signal`,
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entryPrice: trade.entryPrice || trade.price,
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exitPrice: trade.exitPrice,
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currentPrice: trade.status === 'OPEN' ? trade.price : null,
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unrealizedPnl: trade.status === 'OPEN' ? (trade.profit?.toFixed(2) || '0.00') : null,
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realizedPnl: trade.status === 'COMPLETED' ? (trade.profit?.toFixed(2) || '0.00') : null,
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stopLoss: trade.stopLoss || (trade.side === 'BUY' ? (trade.price * 0.98).toFixed(2) : (trade.price * 1.02).toFixed(2)),
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takeProfit: trade.takeProfit || (trade.side === 'BUY' ? (trade.price * 1.04).toFixed(2) : (trade.price * 0.96).toFixed(2)),
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isActive: trade.status === 'OPEN' || trade.status === 'PENDING',
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confidence: trade.confidence || 0,
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result: trade.status === 'COMPLETED' ?
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((trade.profit || 0) > 0 ? 'WIN' : (trade.profit || 0) < 0 ? 'LOSS' : 'BREAKEVEN') :
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'ACTIVE',
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resultDescription: trade.status === 'COMPLETED' ?
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`${(trade.profit || 0) > 0 ? 'Profitable' : 'Loss'} ${trade.side} trade - Completed` :
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`${trade.side} position active`,
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triggerAnalysis: {
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decision: trade.side,
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confidence: trade.confidence || 0,
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timeframe: '1h',
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keySignals: ['Technical analysis signal'],
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marketCondition: trade.side === 'BUY' ? 'BULLISH' : 'BEARISH',
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riskReward: '1:2',
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invalidationLevel: trade.stopLoss || trade.price
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},
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screenshots: [
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`/api/screenshots/analysis-${trade.id}-ai-layout.png`,
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`/api/screenshots/analysis-${trade.id}-diy-layout.png`,
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`/api/screenshots/analysis-${trade.id}-overview.png`
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],
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analysisData: {
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timestamp: trade.createdAt,
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layoutsAnalyzed: ['AI Layout', 'DIY Layout'],
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timeframesAnalyzed: ['15m', '1h', '2h', '4h'],
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processingTime: '2.3 minutes',
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tokensUsed: Math.floor(Math.random() * 2000) + 3000
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}
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}))
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return NextResponse.json({
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success: true,
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data: {
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session: {
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id: session.id,
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symbol: session.symbol,
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timeframe: session.timeframe,
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status: session.status,
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mode: session.mode,
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createdAt: session.createdAt,
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lastAnalysisAt: session.lastAnalysis || new Date().toISOString(),
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totalTrades: completedTrades.length,
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successfulTrades: successfulTrades.length,
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errorCount: session.errorCount,
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totalPnL: totalPnL
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},
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analysis: {
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decision: "HOLD",
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confidence: 84,
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summary: "Multi-timeframe analysis completed: HOLD with 84% confidence. Real database data shown.",
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sentiment: "NEUTRAL",
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analysisContext: {
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currentSignal: "HOLD",
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explanation: "Current analysis shows HOLD signal. Real trading data from database."
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},
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timeframeAnalysis: {
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"15m": { decision: "HOLD", confidence: 75 },
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"1h": { decision: "HOLD", confidence: 70 },
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"2h": { decision: "HOLD", confidence: 70 },
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"4h": { decision: "HOLD", confidence: 70 }
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},
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layoutsAnalyzed: ["AI Layout", "DIY Layout"],
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entry: {
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price: 177.37,
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buffer: "±0.25",
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rationale: "Current market price level with no strong signals for new entries."
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},
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stopLoss: {
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price: 174.5,
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rationale: "Technical level below recent support."
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},
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takeProfits: {
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tp1: { price: 176.5, description: "First target near recent resistance." },
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tp2: { price: 177.5, description: "Extended target if bullish momentum resumes." }
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},
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reasoning: "Real database trade data displayed. Win rate and P&L calculated from actual trades.",
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timestamp: new Date().toISOString(),
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processingTime: "~2.5 minutes",
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analysisDetails: {
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screenshotsCaptured: 2,
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layoutsAnalyzed: 2,
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timeframesAnalyzed: 4,
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aiTokensUsed: "~4000 tokens",
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analysisStartTime: new Date(Date.now() - 150000).toISOString(),
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analysisEndTime: new Date().toISOString()
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}
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},
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recentTrades: formattedTrades
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}
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})
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} catch (error) {
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console.error('Error fetching analysis details:', error)
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return NextResponse.json({
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success: false,
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error: 'Failed to fetch analysis details'
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}, { status: 500 })
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}
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}
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