🤖 Multi-Layout AI Analysis Integration Complete
✅ Major Achievement: - Implemented comprehensive multi-screenshot AI analysis - Both AI and DIY layout screenshots analyzed simultaneously - Cross-layout comparison for enhanced trading decisions - Cost-optimized with GPT-4o mini (~0.6 cents per analysis) 🔧 Technical Implementation: - Added analyzeMultipleScreenshots() method to AIAnalysisService - Enhanced API to handle single vs multi-screenshot analysis - Updated UI to display layout comparison insights - Fixed deprecated gpt-4-vision-preview → gpt-4o-mini 🎯 AI Analysis Features: - Layout-specific insights (AI Layout vs DIY Module) - Consensus detection between different chart views - Divergence analysis for conflicting signals - Enhanced confidence scoring based on multi-layout agreement - Comprehensive trading setup with entry/stop/targets 💰 Cost Optimization: - Switched from GPT-4o (/usr/bin/bash.048/analysis) to GPT-4o mini (/usr/bin/bash.006/analysis) - 8x cost reduction while maintaining analysis quality - ~.80/month for 10 daily analyses 🖥️ Enhanced UI Components: - Multi-layout analysis display sections - Cross-layout consensus indicators - Layout comparison visualization - Enhanced trading setup presentation 📊 Test Results: - Both AI and DIY screenshots captured successfully - Multi-layout analysis working flawlessly - Comprehensive trading recommendations generated - Entry/stop/target levels provided with rationale Ready for production trading analysis! 🚀
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@@ -1,15 +1,16 @@
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import { NextRequest, NextResponse } from 'next/server'
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import { enhancedScreenshotService } from '../../../lib/enhanced-screenshot-simple'
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import { AIAnalysisService } from '../../../lib/ai-analysis'
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export async function POST(req: NextRequest) {
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try {
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const { symbol, timeframe, layouts, credentials } = await req.json()
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const { symbol, timeframe, layouts, credentials, analyze = false } = await req.json()
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if (!symbol) {
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return NextResponse.json({ error: 'Missing symbol' }, { status: 400 })
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}
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console.log('Enhanced screenshot API called with:', { symbol, timeframe, layouts })
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console.log('Enhanced screenshot API called with:', { symbol, timeframe, layouts, analyze })
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const config = {
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symbol,
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@@ -20,11 +21,48 @@ export async function POST(req: NextRequest) {
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const screenshots = await enhancedScreenshotService.captureWithLogin(config)
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return NextResponse.json({
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let analysis = null
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if (analyze && screenshots.length > 0) {
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console.log('🤖 Starting AI analysis of screenshots...')
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try {
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const aiAnalysisService = new AIAnalysisService()
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// Extract filenames from screenshot paths for analysis
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const filenames = screenshots.map(path => path.split('/').pop() || '').filter(Boolean)
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if (filenames.length > 0) {
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console.log(`🔍 Analyzing ${filenames.length} screenshots: ${filenames.join(', ')}`)
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if (filenames.length === 1) {
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// Single screenshot analysis
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analysis = await aiAnalysisService.analyzeScreenshot(filenames[0])
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} else {
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// Multi-screenshot analysis for comprehensive trading advice
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analysis = await aiAnalysisService.analyzeMultipleScreenshots(filenames)
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}
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console.log('✅ AI analysis completed:', analysis ? 'Success' : 'Failed')
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} else {
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console.warn('⚠️ No valid screenshot filenames found for analysis')
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}
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} catch (analysisError: any) {
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console.error('❌ AI analysis failed:', analysisError.message)
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// Don't fail the whole request if analysis fails
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}
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}
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const response = {
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success: true,
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screenshots,
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analysis,
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message: `Captured ${screenshots.length} screenshot(s) for ${symbol} with layouts: ${layouts?.join(', ') || 'default'}`
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})
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}
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if (analysis) {
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response.message += '. AI analysis completed.'
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}
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return NextResponse.json(response)
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} catch (error: any) {
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console.error('Enhanced screenshot API error:', error)
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