Fix trading history: implement proper P&L tracking for closed positions
- Fixed trading history not showing closed positions with positive P&L - Implemented multi-source trading history fetching (SDK, Data API, DLOB, local DB) - Added proper P&L calculation using unrealized PnL from Drift positions - Enhanced TradingHistory component with error handling and sync functionality - Added manual sync button and better status messages - Created /api/drift/sync-trades endpoint for manual trade synchronization - Fixed database integration to properly store and retrieve trades with P&L - Added comprehensive fallback mechanisms for data fetching - Improved error messages and user feedback - Added TRADING_HISTORY_IMPROVEMENTS.md documentation This addresses the issue where recently closed positions with positive P&L were not appearing in the trading history section.
This commit is contained in:
mindesbunister
@@ -34,6 +34,9 @@ export class TradingViewAutomation {
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private requestCount = 0
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private sessionFingerprint: string | null = null
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private humanBehaviorEnabled = true
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private lastMousePosition = { x: 0, y: 0 }
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private loginAttempts = 0
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private maxLoginAttempts = 3
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// Singleton pattern to prevent multiple browser instances
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static getInstance(): TradingViewAutomation {
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@@ -1998,7 +2001,7 @@ export class TradingViewAutomation {
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}
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// Clear browser context storage if available
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if (this.context) {
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if this.context) {
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await this.context.clearCookies()
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console.log('SUCCESS: Cleared browser context cookies')
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}
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@@ -2068,264 +2071,259 @@ export class TradingViewAutomation {
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/**
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* Add random delay to mimic human behavior
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*/
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private async humanDelay(minMs = 500, maxMs = 2000): Promise<void> {
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private async humanDelay(min: number = 500, max: number = 1500): Promise<void> {
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if (!this.humanBehaviorEnabled) return
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const delay = Math.random() * (maxMs - minMs) + minMs
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console.log(`⏱️ Human-like delay: ${Math.round(delay)}ms`)
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await new Promise(resolve => setTimeout(resolve, delay))
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const delay = Math.floor(Math.random() * (max - min + 1)) + min
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// Add micro-pauses to make it even more realistic
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const microPauses = Math.floor(Math.random() * 3) + 1
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for (let i = 0; i < microPauses; i++) {
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await this.page?.waitForTimeout(delay / microPauses)
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if (i < microPauses - 1) {
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await this.page?.waitForTimeout(Math.floor(Math.random() * 100) + 50)
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}
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}
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}
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/**
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* Simulate human-like mouse movements
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* Simulate human-like mouse movement before clicks
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*/
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private async simulateHumanMouseMovement(): Promise<void> {
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private async humanMouseMove(targetElement?: any): Promise<void> {
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if (!this.page || !this.humanBehaviorEnabled) return
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try {
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// Random mouse movements
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const movements = Math.floor(Math.random() * 3) + 2 // 2-4 movements
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// Get current viewport size
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const viewport = this.page.viewportSize() || { width: 1920, height: 1080 }
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for (let i = 0; i < movements; i++) {
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const x = Math.random() * 1920
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const y = Math.random() * 1080
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await this.page.mouse.move(x, y, { steps: Math.floor(Math.random() * 10) + 5 })
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await new Promise(resolve => setTimeout(resolve, Math.random() * 300 + 100))
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}
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} catch (error) {
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console.log('WARNING: Error simulating mouse movement:', error)
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}
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}
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/**
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* Simulate human-like scrolling
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*/
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private async simulateHumanScrolling(): Promise<void> {
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if (!this.page || !this.humanBehaviorEnabled) return
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try {
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const scrollCount = Math.floor(Math.random() * 3) + 1 // 1-3 scrolls
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for (let i = 0; i < scrollCount; i++) {
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const direction = Math.random() > 0.5 ? 1 : -1
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const distance = (Math.random() * 500 + 200) * direction
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await this.page.mouse.wheel(0, distance)
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await new Promise(resolve => setTimeout(resolve, Math.random() * 800 + 300))
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}
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} catch (error) {
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console.log('WARNING: Error simulating scrolling:', error)
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}
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}
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/**
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* Throttle requests to avoid suspicious patterns
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*/
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private async throttleRequests(): Promise<void> {
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const now = Date.now()
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const timeSinceLastRequest = now - this.lastRequestTime
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const minInterval = 10000 + (this.requestCount * 2000) // Increase delay with request count
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if (timeSinceLastRequest < minInterval) {
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const waitTime = minInterval - timeSinceLastRequest
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console.log(`🚦 Throttling request: waiting ${Math.round(waitTime / 1000)}s before next request (request #${this.requestCount + 1})`)
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await new Promise(resolve => setTimeout(resolve, waitTime))
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}
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this.lastRequestTime = now
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this.requestCount++
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// Reset request count periodically to avoid indefinite delays
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if (this.requestCount > 10) {
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console.log('🔄 Resetting request count for throttling')
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this.requestCount = 0
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}
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}
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/**
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* Generate and store session fingerprint for validation
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*/
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private async generateSessionFingerprint(): Promise<string> {
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if (!this.page) throw new Error('Page not initialized')
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try {
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const fingerprint = await this.page.evaluate(() => {
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const canvas = document.createElement('canvas')
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const ctx = canvas.getContext('2d')
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if (ctx) {
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ctx.textBaseline = 'top'
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ctx.font = '14px Arial'
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ctx.fillText('Session fingerprint', 2, 2)
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}
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return JSON.stringify({
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userAgent: navigator.userAgent,
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language: navigator.language,
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platform: navigator.platform,
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cookieEnabled: navigator.cookieEnabled,
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onLine: navigator.onLine,
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screen: {
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width: screen.width,
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height: screen.height,
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colorDepth: screen.colorDepth
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},
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timezone: Intl.DateTimeFormat().resolvedOptions().timeZone,
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canvas: canvas.toDataURL(),
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timestamp: Date.now()
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})
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})
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this.sessionFingerprint = fingerprint
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return fingerprint
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} catch (error) {
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console.error('ERROR: Error generating session fingerprint:', error)
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return `fallback-${Date.now()}`
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}
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}
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/**
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* Enhanced session validation using fingerprinting
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*/
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private async validateSessionIntegrity(): Promise<boolean> {
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if (!this.page) return false
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try {
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// Check if TradingView shows any session invalidation indicators
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const invalidationIndicators = [
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'text="Are you human?"',
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'text="Please verify you are human"',
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'text="Security check"',
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'[data-name="captcha"]',
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'.captcha-container',
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'iframe[src*="captcha"]',
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'text="Session expired"',
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'text="Please log in again"'
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]
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for (const indicator of invalidationIndicators) {
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try {
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if (await this.page.locator(indicator).isVisible({ timeout: 1000 })) {
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console.log("WARNING: Session invalidation detected: " + indicator) + ")"
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return false
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if (targetElement) {
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// Move to target element with slight randomization
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const boundingBox = await targetElement.boundingBox()
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if (boundingBox) {
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const targetX = boundingBox.x + boundingBox.width / 2 + (Math.random() - 0.5) * 20
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const targetY = boundingBox.y + boundingBox.height / 2 + (Math.random() - 0.5) * 20
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// Create intermediate points for more natural movement
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const steps = Math.floor(Math.random() * 3) + 2
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for (let i = 1; i <= steps; i++) {
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const progress = i / steps
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const currentX = this.lastMousePosition.x + (targetX - this.lastMousePosition.x) * progress
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const currentY = this.lastMousePosition.y + (targetY - this.lastMousePosition.y) * progress
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await this.page.mouse.move(currentX, currentY)
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await this.humanDelay(50, 150)
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}
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} catch (e) {
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// Ignore timeout errors, continue checking
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this.lastMousePosition = { x: targetX, y: targetY }
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}
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}
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// Check if current fingerprint matches stored one
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if (this.sessionFingerprint) {
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const currentFingerprint = await this.generateSessionFingerprint()
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const stored = JSON.parse(this.sessionFingerprint)
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const current = JSON.parse(currentFingerprint)
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} else {
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// Random mouse movement within viewport
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const randomX = Math.floor(Math.random() * viewport.width)
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const randomY = Math.floor(Math.random() * viewport.height)
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// Allow some variation in timestamp but check core properties
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if (stored.userAgent !== current.userAgent ||
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stored.platform !== current.platform ||
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stored.language !== current.language) {
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console.log('WARNING: Session fingerprint mismatch detected')
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return false
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}
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await this.page.mouse.move(randomX, randomY)
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this.lastMousePosition = { x: randomX, y: randomY }
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}
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return true
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} catch (error) {
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console.error('ERROR: Error validating session integrity:', error)
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return false
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console.log('WARNING: Mouse movement simulation failed:', error)
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}
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}
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/**
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* Perform human-like interactions before automation
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* Human-like typing with realistic delays and occasional typos
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*/
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private async performHumanLikeInteractions(): Promise<void> {
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private async humanType(selector: string, text: string): Promise<void> {
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if (!this.page || !this.humanBehaviorEnabled) {
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await this.page?.fill(selector, text)
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return
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}
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try {
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// Clear the field first
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await this.page.click(selector)
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await this.page.keyboard.press('Control+a')
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await this.humanDelay(100, 300)
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// Type character by character with realistic delays
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for (let i = 0; i < text.length; i++) {
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const char = text[i]
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// Simulate occasional brief pauses (thinking)
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if (Math.random() < 0.1) {
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await this.humanDelay(300, 800)
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}
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// Simulate occasional typos and corrections (5% chance)
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if (Math.random() < 0.05 && i > 0) {
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// Type wrong character
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const wrongChars = 'abcdefghijklmnopqrstuvwxyz'
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const wrongChar = wrongChars[Math.floor(Math.random() * wrongChars.length)]
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await this.page.keyboard.type(wrongChar)
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await this.humanDelay(200, 500)
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// Correct the typo
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await this.page.keyboard.press('Backspace')
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await this.humanDelay(100, 300)
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}
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// Type the actual character
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await this.page.keyboard.type(char)
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// Realistic typing speed variation
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const baseDelay = 80
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const variation = Math.random() * 120
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await this.page.waitForTimeout(baseDelay + variation)
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}
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// Brief pause after typing
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await this.humanDelay(200, 500)
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} catch (error) {
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console.log('WARNING: Human typing failed, falling back to fill:', error)
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await this.page.fill(selector, text)
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}
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}
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/**
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* Human-like clicking with mouse movement and realistic delays
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*/
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private async humanClick(element: any): Promise<void> {
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if (!this.page || !this.humanBehaviorEnabled) {
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await element.click()
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return
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}
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try {
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// Move mouse to element first
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await this.humanMouseMove(element)
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await this.humanDelay(200, 500)
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// Hover for a brief moment
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await element.hover()
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await this.humanDelay(100, 300)
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// Click with slight randomization
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const boundingBox = await element.boundingBox()
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if (boundingBox) {
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const clickX = boundingBox.x + boundingBox.width / 2 + (Math.random() - 0.5) * 10
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const clickY = boundingBox.y + boundingBox.height / 2 + (Math.random() - 0.5) * 10
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await this.page.mouse.click(clickX, clickY)
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} else {
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await element.click()
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}
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// Brief pause after click
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await this.humanDelay(300, 700)
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} catch (error) {
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console.log('WARNING: Human clicking failed, falling back to normal click:', error)
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await element.click()
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await this.humanDelay(300, 700)
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}
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}
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/**
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* Simulate reading behavior with eye movement patterns
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*/
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private async simulateReading(): Promise<void> {
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if (!this.page || !this.humanBehaviorEnabled) return
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console.log('🤖 Performing human-like interactions...')
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try {
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// Random combination of human-like behaviors
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const behaviors = [
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() => this.simulateHumanMouseMovement(),
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() => this.simulateHumanScrolling(),
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() => this.humanDelay(1000, 3000)
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]
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// Simulate reading by scrolling and pausing
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const viewport = this.page.viewportSize() || { width: 1920, height: 1080 }
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// Perform 1-2 random behaviors
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const behaviorCount = Math.floor(Math.random() * 2) + 1
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for (let i = 0; i < behaviorCount; i++) {
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const behavior = behaviors[Math.floor(Math.random() * behaviors.length)]
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await behavior()
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}
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// Random scroll amount
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const scrollAmount = Math.floor(Math.random() * 200) + 100
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await this.page.mouse.wheel(0, scrollAmount)
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await this.humanDelay(800, 1500)
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// Wait a bit longer to let the page settle
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await this.humanDelay(2000, 4000)
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// Scroll back
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await this.page.mouse.wheel(0, -scrollAmount)
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await this.humanDelay(500, 1000)
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} catch (error) {
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console.log('WARNING: Error performing human-like interactions:', error)
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console.log('WARNING: Reading simulation failed:', error)
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}
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}
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/**
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* Mark that a captcha was detected (to implement cooldown)
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* Enhanced anti-detection measures
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*/
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private async markCaptchaDetected(): Promise<void> {
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private async applyAdvancedStealth(): Promise<void> {
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if (!this.page) return
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||||
|
||||
try {
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||||
const captchaMarkerFile = path.join(process.cwd(), 'captcha_detected.json')
|
||||
const markerData = {
|
||||
timestamp: new Date().toISOString(),
|
||||
count: 1
|
||||
}
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||||
|
||||
// If marker already exists, increment count
|
||||
if (await this.fileExists(captchaMarkerFile)) {
|
||||
try {
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||||
const existing = JSON.parse(await fs.readFile(captchaMarkerFile, 'utf8'))
|
||||
markerData.count = (existing.count || 0) + 1
|
||||
} catch (e) {
|
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// Use defaults if can't read existing file
|
||||
await this.page.addInitScript(() => {
|
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// Advanced fingerprint resistance
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||||
// Override canvas fingerprinting
|
||||
const originalToDataURL = HTMLCanvasElement.prototype.toDataURL;
|
||||
HTMLCanvasElement.prototype.toDataURL = function(...args) {
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||||
const context = this.getContext('2d');
|
||||
if (context) {
|
||||
// Add noise to canvas
|
||||
const imageData = context.getImageData(0, 0, this.width, this.height);
|
||||
for (let i = 0; i < imageData.data.length; i += 4) {
|
||||
if (Math.random() < 0.01) {
|
||||
imageData.data[i] = Math.floor(Math.random() * 256);
|
||||
imageData.data[i + 1] = Math.floor(Math.random() * 256);
|
||||
imageData.data[i + 2] = Math.floor(Math.random() * 256);
|
||||
}
|
||||
}
|
||||
context.putImageData(imageData, 0, 0);
|
||||
}
|
||||
return originalToDataURL.apply(this, args);
|
||||
};
|
||||
|
||||
// Override audio fingerprinting
|
||||
const audioContext = window.AudioContext || (window as any).webkitAudioContext;
|
||||
if (audioContext) {
|
||||
const originalCreateAnalyser = audioContext.prototype.createAnalyser;
|
||||
audioContext.prototype.createAnalyser = function() {
|
||||
const analyser = originalCreateAnalyser.call(this);
|
||||
const originalGetFloatFrequencyData = analyser.getFloatFrequencyData;
|
||||
analyser.getFloatFrequencyData = function(array: Float32Array) {
|
||||
originalGetFloatFrequencyData.call(this, array);
|
||||
// Add subtle noise
|
||||
for (let i = 0; i < array.length; i++) {
|
||||
array[i] += (Math.random() - 0.5) * 0.001;
|
||||
}
|
||||
};
|
||||
return analyser;
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
await fs.writeFile(captchaMarkerFile, JSON.stringify(markerData, null, 2))
|
||||
console.log('INFO: Marked captcha detection #' + markerData.count + ' at ' + markerData.timestamp)
|
||||
|
||||
// Override timezone detection
|
||||
Object.defineProperty(Intl.DateTimeFormat.prototype, 'resolvedOptions', {
|
||||
value: function() {
|
||||
return {
|
||||
...Intl.DateTimeFormat.prototype.resolvedOptions.call(this),
|
||||
timeZone: 'America/New_York'
|
||||
};
|
||||
}
|
||||
});
|
||||
|
||||
// Randomize performance.now() slightly
|
||||
const originalNow = performance.now;
|
||||
performance.now = function() {
|
||||
return originalNow.call(this) + Math.random() * 0.1;
|
||||
};
|
||||
|
||||
// Mock more realistic viewport
|
||||
Object.defineProperty(window, 'outerWidth', {
|
||||
get: () => 1920 + Math.floor(Math.random() * 100)
|
||||
});
|
||||
Object.defineProperty(window, 'outerHeight', {
|
||||
get: () => 1080 + Math.floor(Math.random() * 100)
|
||||
});
|
||||
});
|
||||
} catch (error) {
|
||||
console.log('WARNING: Error marking captcha detection:', error)
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Check if file exists
|
||||
*/
|
||||
private async fileExists(filePath: string): Promise<boolean> {
|
||||
try {
|
||||
await fs.access(filePath)
|
||||
return true
|
||||
} catch (error) {
|
||||
return false
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Check if browser is healthy and connected
|
||||
*/
|
||||
isBrowserHealthy(): boolean {
|
||||
return !!(this.browser && this.browser.isConnected())
|
||||
}
|
||||
|
||||
/**
|
||||
* Ensure browser is ready for operations
|
||||
*/
|
||||
async ensureBrowserReady(): Promise<void> {
|
||||
if (!this.isBrowserHealthy()) {
|
||||
console.log('🔄 Browser not healthy, reinitializing...')
|
||||
await this.forceCleanup()
|
||||
await this.init()
|
||||
console.log('WARNING: Advanced stealth measures failed:', error)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Add process cleanup handlers to ensure browser instances are properly cleaned up
|
||||
/**
|
||||
* Add process cleanup handlers to ensure browser instances are properly cleaned up
|
||||
*/
|
||||
process.on('SIGTERM', async () => {
|
||||
console.log('🔄 SIGTERM received, cleaning up browser...')
|
||||
await TradingViewAutomation.getInstance().forceCleanup()
|
||||
|
||||
Reference in New Issue
Block a user