Implement batch comparative analysis for multi-timeframe
- Create new /api/batch-analysis endpoint for collecting all screenshots first - Modified AIAnalysisPanel to use batch analysis for multiple timeframes - All screenshots captured before AI analysis (no immediate analysis per timeframe) - Enables AI to compare across timeframes for better trend analysis - Maintains UI compatibility with existing display logic
This commit is contained in:
mindesbunister
185
app/api/batch-analysis/route.js
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185
app/api/batch-analysis/route.js
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import { NextResponse } from 'next/server'
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import { enhancedScreenshotService } from '../../../lib/enhanced-screenshot'
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import { aiAnalysisService } from '../../../lib/ai-analysis'
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import { progressTracker } from '../../../lib/progress-tracker'
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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 {
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symbol,
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timeframes = [],
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layouts = ['ai'],
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sessionId: providedSessionId
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} = body
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console.log('🎯 Batch analysis request:', { symbol, timeframes, layouts })
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// Use provided sessionId or generate one
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const sessionId = providedSessionId || `batch_analysis_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`
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console.log('🔍 Using batch session ID:', sessionId)
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// Create progress tracking with batch-specific steps
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const totalCaptures = timeframes.length * layouts.length
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const initialSteps = [
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{
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id: 'init',
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title: 'Initializing Batch Analysis',
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description: `Preparing to capture ${totalCaptures} screenshots across ${timeframes.length} timeframes`,
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status: 'pending'
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},
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{
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id: 'auth',
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title: 'TradingView Authentication',
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description: 'Logging into TradingView accounts',
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status: 'pending'
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},
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{
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id: 'batch_capture',
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title: 'Batch Screenshot Capture',
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description: `Capturing screenshots for all ${timeframes.length} timeframes`,
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status: 'pending'
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},
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{
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id: 'comparative_analysis',
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title: 'Comparative AI Analysis',
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description: `Analyzing all ${totalCaptures} screenshots together for timeframe comparison`,
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status: 'pending'
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}
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]
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// Create the progress session
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progressTracker.createSession(sessionId, initialSteps)
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let allScreenshots = []
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const timeframeResults = []
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try {
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// Mark init as completed
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progressTracker.updateStep(sessionId, 'init', 'completed', 'Batch analysis initialized')
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progressTracker.updateStep(sessionId, 'auth', 'active', 'Starting authentication...')
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// Capture screenshots for each timeframe WITHOUT analysis
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for (let i = 0; i < timeframes.length; i++) {
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const timeframe = timeframes[i]
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console.log(`📸 Capturing ${timeframe} screenshots (${i + 1}/${timeframes.length})...`)
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// Update progress
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progressTracker.updateStep(sessionId, 'batch_capture', 'active',
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`Capturing ${timeframe} screenshots (${i + 1}/${timeframes.length})`)
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const config = {
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symbol: symbol || 'BTCUSD',
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timeframe: timeframe,
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layouts: layouts,
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sessionId: `${sessionId}_tf_${timeframe}`, // Sub-session for this timeframe
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credentials: {
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email: process.env.TRADINGVIEW_EMAIL,
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password: process.env.TRADINGVIEW_PASSWORD
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}
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}
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try {
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// Capture screenshots only (no analysis)
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const screenshots = await enhancedScreenshotService.captureWithLogin(config)
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allScreenshots.push(...screenshots)
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timeframeResults.push({
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timeframe,
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screenshots: screenshots.length,
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files: screenshots
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})
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console.log(`✅ ${timeframe}: ${screenshots.length} screenshots captured`)
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} catch (error) {
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console.error(`❌ Failed to capture ${timeframe}:`, error)
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timeframeResults.push({
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timeframe,
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error: error.message,
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screenshots: 0,
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files: []
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})
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}
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}
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// Mark capture as completed
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progressTracker.updateStep(sessionId, 'batch_capture', 'completed',
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`All timeframes captured: ${allScreenshots.length} total screenshots`)
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// Now perform comparative analysis on ALL screenshots
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console.log(`🤖 Starting comparative analysis of ${allScreenshots.length} screenshots...`)
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progressTracker.updateStep(sessionId, 'comparative_analysis', 'active',
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`Analyzing ${allScreenshots.length} screenshots for timeframe comparison`)
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let analysis = null
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if (allScreenshots.length > 0) {
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try {
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// Use the analyzeMultipleScreenshots method for comparative analysis
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analysis = await aiAnalysisService.analyzeMultipleScreenshots(allScreenshots)
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if (analysis) {
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progressTracker.updateStep(sessionId, 'comparative_analysis', 'completed',
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'Comparative analysis completed successfully!')
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} else {
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progressTracker.updateStep(sessionId, 'comparative_analysis', 'error',
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'Analysis returned no results')
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}
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} catch (analysisError) {
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console.error('❌ Comparative analysis failed:', analysisError)
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progressTracker.updateStep(sessionId, 'comparative_analysis', 'error',
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`Analysis failed: ${analysisError.message}`)
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}
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} else {
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progressTracker.updateStep(sessionId, 'comparative_analysis', 'error',
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'No screenshots available for analysis')
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}
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// Cleanup session after delay
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setTimeout(() => progressTracker.deleteSession(sessionId), 5000)
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const result = {
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success: true,
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sessionId,
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type: 'batch_comparative',
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symbol: symbol || 'BTCUSD',
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timeframes,
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layouts,
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totalScreenshots: allScreenshots.length,
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screenshots: allScreenshots,
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timeframeBreakdown: timeframeResults,
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analysis,
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summary: `Captured ${allScreenshots.length} screenshots across ${timeframes.length} timeframes for comparative analysis`
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}
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console.log('✅ Batch comparative analysis completed:', {
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timeframes: timeframes.length,
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screenshots: allScreenshots.length,
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hasAnalysis: !!analysis
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})
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return NextResponse.json(result)
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} catch (error) {
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console.error('❌ Batch analysis error:', error)
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progressTracker.updateStep(sessionId, 'comparative_analysis', 'error',
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`Batch analysis failed: ${error.message}`)
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return NextResponse.json({
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success: false,
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error: error.message,
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sessionId,
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partialResults: {
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timeframeResults,
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screenshotsCaptured: allScreenshots.length
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}
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}, { status: 500 })
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}
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} catch (error) {
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console.error('❌ Batch analysis request error:', error)
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return NextResponse.json({
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success: false,
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error: error.message
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}, { status: 500 })
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}
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}
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@@ -306,68 +306,60 @@ export default function AIAnalysisPanel({ onAnalysisComplete }: AIAnalysisPanelP
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onAnalysisComplete(data.analysis, analysisSymbol)
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}
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} else {
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// Multiple timeframe analysis
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const results = []
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// Multiple timeframe analysis - use batch comparative analysis
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console.log(`🎯 Starting batch comparative analysis for ${analysisTimeframes.length} timeframes`)
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for (let i = 0; i < analysisTimeframes.length; i++) {
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const tf = analysisTimeframes[i]
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const timeframeLabel = timeframes.find(t => t.value === tf)?.label || tf
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// Pre-generate sessionId for batch analysis
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const sessionId = `batch_analysis_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`
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startProgressTracking(sessionId)
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console.log(`🧪 Analyzing timeframe: ${timeframeLabel}`)
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const response = await fetch('/api/enhanced-screenshot', {
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const response = await fetch('/api/batch-analysis', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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symbol: analysisSymbol,
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timeframe: tf,
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timeframes: analysisTimeframes,
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layouts: selectedLayouts,
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analyze: true
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sessionId: sessionId
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})
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})
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const result = await response.json()
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results.push({
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timeframe: tf,
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timeframeLabel,
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success: response.ok,
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result
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})
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const data = await response.json()
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// Start progress tracking for the first timeframe session
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if (i === 0 && result.sessionId) {
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startProgressTracking(result.sessionId)
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if (!response.ok) {
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throw new Error(data.error || 'Batch analysis failed')
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}
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// Update timeframe progress manually for multi-timeframe
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setProgress(prev => prev ? {
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...prev,
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timeframeProgress: {
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current: i + 1,
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total: analysisTimeframes.length,
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currentTimeframe: timeframeLabel
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}
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} : null)
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// Small delay between requests
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await new Promise(resolve => setTimeout(resolve, 1000))
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}
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console.log(`✅ Batch analysis completed: ${data.totalScreenshots} screenshots, ${data.timeframes.length} timeframes`)
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// Transform batch result to match expected format for UI compatibility
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const multiResult = {
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type: 'multi_timeframe',
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type: 'batch_comparative',
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symbol: analysisSymbol,
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summary: `Analyzed ${results.length} timeframes for ${analysisSymbol}`,
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results
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summary: data.summary || `Batch comparative analysis of ${data.timeframes?.length || analysisTimeframes.length} timeframes`,
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analysis: data.analysis,
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screenshots: data.screenshots,
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timeframeBreakdown: data.timeframeBreakdown,
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totalScreenshots: data.totalScreenshots,
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timeframes: analysisTimeframes.map(tf => timeframes.find(t => t.value === tf)?.label || tf),
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// Create results array for UI compatibility
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results: analysisTimeframes.map(tf => ({
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timeframe: tf,
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timeframeLabel: timeframes.find(t => t.value === tf)?.label || tf,
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success: true,
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result: {
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analysis: data.analysis, // Single comparative analysis for all timeframes
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screenshots: data.screenshots.filter((s: string) => s.includes(`_${tf}_`)),
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sessionId: sessionId
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}
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}))
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}
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setResult(multiResult)
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// Call the callback with the first successful analysis result if provided
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if (onAnalysisComplete) {
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const firstSuccessfulResult = results.find(r => r.success && r.result?.analysis)
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if (firstSuccessfulResult) {
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onAnalysisComplete(firstSuccessfulResult.result.analysis, analysisSymbol)
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}
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// Call the callback with analysis result if provided
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if (onAnalysisComplete && data.analysis) {
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onAnalysisComplete(data.analysis, analysisSymbol)
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}
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}
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} catch (err) {
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@@ -967,7 +959,7 @@ export default function AIAnalysisPanel({ onAnalysisComplete }: AIAnalysisPanelP
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</div>
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)}
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{result && result.type === 'multi_timeframe' && (
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{result && (result.type === 'multi_timeframe' || result.type === 'batch_comparative') && (
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<div className="mt-6 space-y-4">
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<div className="flex items-center justify-between">
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<h3 className="text-lg font-bold text-white flex items-center">
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@@ -1482,7 +1474,7 @@ export default function AIAnalysisPanel({ onAnalysisComplete }: AIAnalysisPanelP
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)}
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{/* Multi-timeframe Screenshot Gallery */}
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{result && result.type === 'multi_timeframe' && result.results && (
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{result && (result.type === 'multi_timeframe' || result.type === 'batch_comparative') && result.results && (
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<ScreenshotGallery
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screenshots={result.results
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.filter((r: any) => r.success && r.result.screenshots)
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