cf58d41444
- Add comprehensive session persistence with cookies, localStorage, and sessionStorage - Implement stealth browser features to reduce bot detection - Add smartLogin() method that prioritizes saved sessions over fresh logins - Create session management utilities (refresh, clear, test validity) - Update enhanced screenshot service to use session persistence - Add comprehensive documentation and test script - Support manual login fallback when captcha is encountered - Sessions stored in .tradingview-session/ directory for Docker compatibility This solves the captcha problem by avoiding repeated logins through persistent sessions.
114 lines
3.5 KiB
JavaScript
114 lines
3.5 KiB
JavaScript
const fs = require('fs')
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const path = require('path')
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const OpenAI = require('openai').default
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// Initialize OpenAI
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const openai = new OpenAI({
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apiKey: process.env.OPENAI_API_KEY,
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})
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async function testAIAnalysis() {
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try {
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console.log('🔍 Testing AI analysis with a real screenshot...')
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// Use the specific screenshot you mentioned
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const screenshotsDir = path.join(process.cwd(), 'screenshots')
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const testImage = 'debug_before_timeframe_change_1752324987294.png'
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const imagePath = path.join(screenshotsDir, testImage)
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console.log(`📸 Using screenshot: ${imagePath}`)
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// Check if file exists
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if (!fs.existsSync(imagePath)) {
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console.error('❌ Screenshot file not found!')
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return
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}
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console.log('✅ Screenshot file found')
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// Read and encode image
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const imageBuffer = fs.readFileSync(imagePath)
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const base64Image = imageBuffer.toString('base64')
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console.log(`📊 Image size: ${imageBuffer.length} bytes`)
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console.log(`🔒 Base64 length: ${base64Image.length} characters`)
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console.log(`🎯 Base64 preview: ${base64Image.substring(0, 100)}...`)
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// Improved prompt for testing
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const prompt = `You are a technical chart analysis expert. Please analyze this TradingView chart image and provide objective technical analysis data.
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**Important**: This is for educational and research purposes only. Please analyze the technical indicators, price levels, and chart patterns visible in the image.
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Examine the chart and identify:
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- Current price action and trend direction
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- Key support and resistance levels visible on the chart
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- Technical indicator readings (RSI, moving averages, volume if visible)
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- Chart patterns or formations
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- Market structure elements
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Provide your analysis in this exact JSON format (replace values with your analysis):
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{
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"summary": "Objective description of what you observe in the chart",
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"marketSentiment": "BULLISH",
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"recommendation": "BUY",
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"confidence": 75
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}
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Return only the JSON object with your technical analysis.`
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console.log('🤖 Sending request to OpenAI...')
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const response = await openai.chat.completions.create({
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model: "gpt-4o", // Latest vision model
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messages: [
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{
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role: "user",
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content: [
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{ type: "text", text: prompt },
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{
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type: "image_url",
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image_url: {
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url: `data:image/png;base64,${base64Image}`,
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detail: "low" // Add detail parameter to reduce token usage
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}
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}
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]
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}
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],
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max_tokens: 500,
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temperature: 0.1
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})
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console.log('✅ Response received from OpenAI')
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const content = response.choices[0]?.message?.content
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console.log('📝 Full response content:')
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console.log(content)
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// Try to extract JSON
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const jsonMatch = content?.match(/\{[\s\S]*\}/)
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if (jsonMatch) {
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console.log('✅ JSON found in response:')
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console.log(jsonMatch[0])
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try {
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const parsed = JSON.parse(jsonMatch[0])
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console.log('✅ JSON successfully parsed:')
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console.log(JSON.stringify(parsed, null, 2))
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} catch (e) {
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console.error('❌ Failed to parse JSON:', e.message)
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}
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} else {
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console.error('❌ No JSON found in response')
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}
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} catch (error) {
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console.error('❌ Error testing AI analysis:', error.message)
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console.error('Full error:', error)
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}
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}
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// Run the test
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testAIAnalysis()
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