de45349baa
- Fixed layout conflicts by removing minimal layout.tsx in favor of complete layout.js - Restored original AI Analysis page with full TradingView integration - Connected enhanced screenshot API to real TradingView automation service - Fixed screenshot gallery to handle both string and object formats - Added image serving API route for screenshot display - Resolved hydration mismatch issues with suppressHydrationWarning - All navigation pages working (Analysis, Trading, Automation, Settings) - TradingView automation successfully capturing screenshots from AI and DIY layouts - Docker Compose v2 compatibility ensured Working features: - Homepage with hero section and status cards - Navigation menu with Trading Bot branding - Real TradingView screenshot capture - AI-powered chart analysis - Multi-layout support (AI + DIY module) - Screenshot gallery with image serving - API endpoints for balance, status, screenshots, trading
83 lines
2.8 KiB
JavaScript
83 lines
2.8 KiB
JavaScript
import { NextResponse } from 'next/server'
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export async function POST(request) {
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try {
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const body = await request.json()
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const { symbol, timeframe, action, credentials } = body
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console.log('🎯 AI Analysis request:', { symbol, timeframe, action })
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// Mock AI analysis result for now (replace with real TradingView + AI integration)
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const mockAnalysis = {
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symbol,
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timeframe,
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timestamp: new Date().toISOString(),
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screenshot: `/screenshots/analysis_${symbol}_${timeframe}_${Date.now()}.png`,
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analysis: {
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sentiment: Math.random() > 0.5 ? 'bullish' : 'bearish',
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confidence: Math.floor(Math.random() * 40) + 60, // 60-100%
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keyLevels: {
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support: (Math.random() * 100 + 100).toFixed(2),
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resistance: (Math.random() * 100 + 200).toFixed(2)
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},
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signals: [
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{ type: 'technical', message: 'RSI showing oversold conditions', strength: 'strong' },
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{ type: 'momentum', message: 'MACD bullish crossover detected', strength: 'medium' },
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{ type: 'volume', message: 'Above average volume confirms trend', strength: 'strong' }
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],
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recommendation: {
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action: Math.random() > 0.5 ? 'buy' : 'hold',
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targetPrice: (Math.random() * 50 + 150).toFixed(2),
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stopLoss: (Math.random() * 20 + 120).toFixed(2),
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timeHorizon: '1-3 days'
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},
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marketContext: 'Current market conditions favor momentum strategies. Watch for potential breakout above key resistance levels.',
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riskAssessment: 'Medium risk - volatile market conditions require careful position sizing'
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}
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}
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if (action === 'capture_multiple') {
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// Mock multiple timeframe analysis
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const multipleResults = ['5', '15', '60'].map(tf => ({
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...mockAnalysis,
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timeframe: tf,
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screenshot: `/screenshots/analysis_${symbol}_${tf}_${Date.now()}.png`
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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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symbol,
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analyses: multipleResults,
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summary: 'Multi-timeframe analysis completed successfully'
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}
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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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analysis: mockAnalysis,
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message: 'AI analysis completed successfully'
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}
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})
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} catch (error) {
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console.error('AI Analysis error:', error)
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return NextResponse.json({
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success: false,
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error: 'Failed to perform AI analysis',
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message: error instanceof Error ? error.message : 'Unknown error'
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}, { status: 500 })
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}
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}
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export async function GET() {
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return NextResponse.json({
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message: 'AI Analysis endpoint - Use POST to perform analysis',
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supportedActions: ['capture_and_analyze', 'capture_multiple'],
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requiredFields: ['symbol', 'timeframe', 'action'],
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optionalFields: ['credentials']
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})
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}
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