🤖 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! 🚀
This commit is contained in:
mindesbunister
2025-07-13 17:46:17 +02:00
parent 45202cabe7
commit 4965a3d0af
4 changed files with 248 additions and 110 deletions

View File

@@ -1,15 +1,16 @@
import { NextRequest, NextResponse } from 'next/server'
import { enhancedScreenshotService } from '../../../lib/enhanced-screenshot-simple'
import { AIAnalysisService } from '../../../lib/ai-analysis'
export async function POST(req: NextRequest) {
try {
const { symbol, timeframe, layouts, credentials } = await req.json()
const { symbol, timeframe, layouts, credentials, analyze = false } = await req.json()
if (!symbol) {
return NextResponse.json({ error: 'Missing symbol' }, { status: 400 })
}
console.log('Enhanced screenshot API called with:', { symbol, timeframe, layouts })
console.log('Enhanced screenshot API called with:', { symbol, timeframe, layouts, analyze })
const config = {
symbol,
@@ -20,11 +21,48 @@ export async function POST(req: NextRequest) {
const screenshots = await enhancedScreenshotService.captureWithLogin(config)
return NextResponse.json({
let analysis = null
if (analyze && screenshots.length > 0) {
console.log('🤖 Starting AI analysis of screenshots...')
try {
const aiAnalysisService = new AIAnalysisService()
// Extract filenames from screenshot paths for analysis
const filenames = screenshots.map(path => path.split('/').pop() || '').filter(Boolean)
if (filenames.length > 0) {
console.log(`🔍 Analyzing ${filenames.length} screenshots: ${filenames.join(', ')}`)
if (filenames.length === 1) {
// Single screenshot analysis
analysis = await aiAnalysisService.analyzeScreenshot(filenames[0])
} else {
// Multi-screenshot analysis for comprehensive trading advice
analysis = await aiAnalysisService.analyzeMultipleScreenshots(filenames)
}
console.log('✅ AI analysis completed:', analysis ? 'Success' : 'Failed')
} else {
console.warn('⚠️ No valid screenshot filenames found for analysis')
}
} catch (analysisError: any) {
console.error('❌ AI analysis failed:', analysisError.message)
// Don't fail the whole request if analysis fails
}
}
const response = {
success: true,
screenshots,
analysis,
message: `Captured ${screenshots.length} screenshot(s) for ${symbol} with layouts: ${layouts?.join(', ') || 'default'}`
})
}
if (analysis) {
response.message += '. AI analysis completed.'
}
return NextResponse.json(response)
} catch (error: any) {
console.error('Enhanced screenshot API error:', error)