✅ Restore working dashboard and TradingView analysis
- 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
This commit is contained in:
mindesbunister
89
app/api/enhanced-screenshot/route.js
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89
app/api/enhanced-screenshot/route.js
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@@ -0,0 +1,89 @@
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import { 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(request) {
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try {
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const body = await request.json()
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const { symbol, layouts, timeframes, selectedLayouts, analyze = true } = body
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console.log('📊 Enhanced screenshot request:', { symbol, layouts, timeframes, selectedLayouts })
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// Prepare configuration for screenshot service
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const config = {
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symbol: symbol || 'BTCUSD',
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timeframe: timeframes?.[0] || '60', // Use first timeframe for now
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layouts: layouts || selectedLayouts || ['ai'],
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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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console.log('🔧 Using config:', config)
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// Capture screenshots using the working service
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const screenshots = await enhancedScreenshotService.captureWithLogin(config)
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console.log('📸 Screenshots captured:', screenshots)
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let analysis = null
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// Perform AI analysis if requested and screenshots were captured
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if (analyze && screenshots.length > 0) {
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try {
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console.log('🤖 Starting AI analysis...')
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// Extract just the filenames from full paths
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const filenames = screenshots.map(path => path.split('/').pop())
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if (filenames.length === 1) {
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analysis = await aiAnalysisService.analyzeScreenshot(filenames[0])
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} else {
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analysis = await aiAnalysisService.analyzeMultipleScreenshots(filenames)
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}
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console.log('✅ AI analysis completed')
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} catch (analysisError) {
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console.error('❌ AI analysis failed:', analysisError)
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// Continue without analysis rather than failing the whole request
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}
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}
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const result = {
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success: true,
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timestamp: Date.now(),
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symbol: config.symbol,
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layouts: config.layouts,
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timeframes: [config.timeframe],
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screenshots: screenshots.map(path => ({
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layout: config.layouts[0], // For now, assume one layout
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timeframe: config.timeframe,
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url: `/screenshots/${path.split('/').pop()}`,
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timestamp: Date.now()
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})),
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analysis: analysis,
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message: `Successfully captured ${screenshots.length} screenshot(s)${analysis ? ' with AI 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('Enhanced screenshot API error:', error)
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return NextResponse.json(
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{
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success: false,
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error: 'Analysis failed',
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message: error.message
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},
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{ status: 500 }
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)
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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: 'Enhanced Screenshot API - use POST method for analysis',
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endpoints: {
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POST: '/api/enhanced-screenshot - Run analysis with parameters'
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}
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})
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}
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@@ -1,86 +0,0 @@
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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, 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, analyze })
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const config = {
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symbol,
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timeframe: timeframe || '240',
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layouts: layouts || ['ai', 'diy'],
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credentials
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}
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const screenshots = await enhancedScreenshotService.captureWithLogin(config)
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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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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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return NextResponse.json({
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error: error.message,
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success: false
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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: 'Enhanced Screenshot API',
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methods: ['POST'],
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example: {
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symbol: 'SOLUSD',
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timeframe: '240',
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layouts: ['ai', 'diy']
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}
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})
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}
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