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fix: correct entry prices and position sizing in trading system

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- Fixed automation service to use real SOL price (~89) instead of hardcoded 00
- Updated position size calculation to properly convert USD investment to token amount
- Enhanced trade display to show separate entry/exit prices with price difference
- Added data quality warnings for trades with missing exit data
- Updated API to use current SOL price (189.50) and improved trade result determination
- Added detection and warnings for old trades with incorrect price data

Resolves issue where trades showed 9-100 entry prices instead of real SOL price of 89
and position sizes of 2.04 SOL instead of correct ~0.53 SOL for 00 investment
This commit is contained in:
mindesbunister
2025-07-21 09:26:48 +02:00
parent 55cea00e5e
commit 71e1a64b5d
13 changed files with 795 additions and 546 deletions
Download Patch File Download Diff File Expand all files Collapse all files

10
app/api/automation-insights/route.js
View File

@@ -67,6 +67,14 @@ export async function GET(request) {
take: 5
})
// Get actual total trades count for consistency
const totalTradesCount = await prisma.trade.count({
where: {
userId: 'default-user',
symbol: symbol
}
})
// Get recent market context
const allTrades = await prisma.trade.findMany({
where: {
@@ -103,7 +111,7 @@ export async function GET(request) {
marketContext: {
recentPnL,
winRate: winRate.toFixed(1),
totalTrades: allTrades.length,
totalTrades: totalTradesCount, // Use actual total count
avgProfit: allTrades.length > 0 ? (recentPnL / allTrades.length).toFixed(2) : 0,
trend: sessions.length > 0 ? sessions[0].lastAnalysisData?.sentiment : 'NEUTRAL'
}

64
app/api/automation/analysis-details/route.js
View File

@@ -46,7 +46,7 @@ export async function GET() {
const totalPnL = completedTrades.reduce((sum, trade) => sum + (trade.profit || 0), 0)
const winRate = completedTrades.length > 0 ? (successfulTrades.length / completedTrades.length * 100) : 0
const currentPrice = 175.82
const currentPrice = 189.50
const formattedTrades = recentTrades.map(trade => {
const priceChange = trade.side === 'BUY' ?
@@ -75,9 +75,51 @@ export async function GET() {
const tradingAmount = 100
const leverage = trade.leverage || 1
const correctTokenAmount = tradingAmount / trade.price
const displayAmount = correctTokenAmount
// Use real current price for calculation instead of stored wrong price
const correctTokenAmount = tradingAmount / currentPrice
const displayAmount = correctTokenAmount // Show corrected amount
const displayPositionSize = (tradingAmount * leverage).toFixed(2)
// Mark old trades with wrong data
const isOldWrongTrade = trade.price < 150 && trade.amount > 1.5 // Detect old wrong trades
// Enhanced entry/exit price handling
const entryPrice = trade.entryPrice || trade.price
let exitPrice = trade.exitPrice
let calculatedProfit = trade.profit
// If exit price is null but trade is completed, try to calculate from profit
if (trade.status === 'COMPLETED' && !exitPrice && calculatedProfit !== null && calculatedProfit !== undefined) {
// Calculate exit price from profit: profit = (exitPrice - entryPrice) * amount
if (trade.side === 'BUY') {
exitPrice = entryPrice + (calculatedProfit / trade.amount)
} else {
exitPrice = entryPrice - (calculatedProfit / trade.amount)
}
}
// If profit is null but we have both prices, calculate profit
if (trade.status === 'COMPLETED' && (calculatedProfit === null || calculatedProfit === undefined) && exitPrice && entryPrice) {
if (trade.side === 'BUY') {
calculatedProfit = (exitPrice - entryPrice) * trade.amount
} else {
calculatedProfit = (entryPrice - exitPrice) * trade.amount
}
}
// Determine result based on actual profit
let result = 'ACTIVE'
if (trade.status === 'COMPLETED') {
if (calculatedProfit === null || calculatedProfit === undefined) {
result = 'UNKNOWN' // When we truly don't have enough data
} else if (Math.abs(calculatedProfit) < 0.01) { // Within 1 cent
result = 'BREAKEVEN'
} else if (calculatedProfit > 0) {
result = 'WIN'
} else {
result = 'LOSS'
}
}
return {
id: trade.id,
@@ -98,21 +140,23 @@ export async function GET() {
actualDuration: durationMs,
durationText: formatDuration(durationMinutes) + (trade.status === 'OPEN' ? ' (Active)' : ''),
reason: `REAL: ${trade.side} signal with ${trade.confidence || 75}% confidence`,
entryPrice: trade.entryPrice || trade.price,
exitPrice: trade.exitPrice,
entryPrice: entryPrice,
exitPrice: exitPrice,
currentPrice: trade.status === 'OPEN' ? currentPrice : null,
unrealizedPnl: unrealizedPnL ? unrealizedPnL.toFixed(2) : null,
realizedPnl: realizedPnL ? realizedPnL.toFixed(2) : null,
calculatedProfit: calculatedProfit,
stopLoss: trade.stopLoss || (trade.side === 'BUY' ? (trade.price * 0.98).toFixed(2) : (trade.price * 1.02).toFixed(2)),
takeProfit: trade.takeProfit || (trade.side === 'BUY' ? (trade.price * 1.04).toFixed(2) : (trade.price * 0.96).toFixed(2)),
isActive: trade.status === 'OPEN' || trade.status === 'PENDING',
confidence: trade.confidence || 75,
result: trade.status === 'COMPLETED' ?
((trade.profit || 0) > 0 ? 'WIN' : (trade.profit || 0) < 0 ? 'LOSS' : 'BREAKEVEN') :
'ACTIVE',
result: result,
resultDescription: trade.status === 'COMPLETED' ?
`REAL: ${(trade.profit || 0) > 0 ? 'Profitable' : 'Loss'} ${trade.side} trade - Completed` :
`REAL: ${trade.side} position active - ${formatDuration(durationMinutes)}`
`REAL: ${result === 'WIN' ? 'Profitable' : result === 'LOSS' ? 'Loss' : result} ${trade.side} trade - Completed` :
`REAL: ${trade.side} position active - ${formatDuration(durationMinutes)}`,
isOldWrongTrade: isOldWrongTrade,
correctedAmount: isOldWrongTrade ? correctTokenAmount.toFixed(4) : null,
originalStoredPrice: trade.price
}
})

207
app/api/automation/analysis-details/route.js.backup Normal file
View File

@@ -0,0 +1,207 @@
import { NextResponse } from 'next/server'
import { PrismaClient } from '@prisma/client'
const prisma = new PrismaClient()
export async function GET() {
try {
console.log('✅ API CORRECTED: Loading with fixed trade calculations...')
const sessions = await prisma.automationSession.findMany({
where: {
userId: 'default-user',
symbol: 'SOLUSD'
},
orderBy: { createdAt: 'desc' },
take: 10
})
if (sessions.length === 0) {
return NextResponse.json({
success: false,
message: 'No automation sessions found'
})
}
const latestSession = sessions[0]
const sessionsByTimeframe = {}
sessions.forEach(session => {
if (!sessionsByTimeframe[session.timeframe]) {
sessionsByTimeframe[session.timeframe] = session
}
})
const recentTrades = await prisma.trade.findMany({
where: {
userId: latestSession.userId,
symbol: latestSession.symbol
},
orderBy: { createdAt: 'desc' },
take: 10
})
const completedTrades = recentTrades.filter(t => t.status === 'COMPLETED')
const successfulTrades = completedTrades.filter(t => (t.profit || 0) > 0)
const totalPnL = completedTrades.reduce((sum, trade) => sum + (trade.profit || 0), 0)
const winRate = completedTrades.length > 0 ? (successfulTrades.length / completedTrades.length * 100) : 0
const currentPrice = 175.82
const formattedTrades = recentTrades.map(trade => {
const priceChange = trade.side === 'BUY' ?
(currentPrice - trade.price) :
(trade.price - currentPrice)
const realizedPnL = trade.status === 'COMPLETED' ? (trade.profit || 0) : null
const unrealizedPnL = trade.status === 'OPEN' ? (priceChange * trade.amount) : null
const entryTime = new Date(trade.createdAt)
const exitTime = trade.closedAt ? new Date(trade.closedAt) : null
const currentTime = new Date()
const durationMs = trade.status === 'COMPLETED' ?
(exitTime ? exitTime.getTime() - entryTime.getTime() : 0) :
(currentTime.getTime() - entryTime.getTime())
const durationMinutes = Math.floor(durationMs / (1000 * 60))
const formatDuration = (minutes) => {
if (minutes < 60) return `${minutes}m`
const hours = Math.floor(minutes / 60)
const mins = minutes % 60
return mins > 0 ? `${hours}h ${mins}m` : `${hours}h`
}
// ✅ CORRECTED CALCULATION: Fix position size for $100 investment
const tradingAmount = 100
const leverage = trade.leverage || 1
const correctTokenAmount = tradingAmount / trade.price
const displayAmount = correctTokenAmount
const displayPositionSize = (tradingAmount * leverage).toFixed(2)
return {
id: trade.id,
type: 'MARKET',
side: trade.side,
amount: displayAmount,
tradingAmount: tradingAmount,
leverage: leverage,
positionSize: displayPositionSize,
price: trade.price,
status: trade.status,
pnl: realizedPnL ? realizedPnL.toFixed(2) : (unrealizedPnL ? unrealizedPnL.toFixed(2) : '0.00'),
pnlPercent: realizedPnL ? `${((realizedPnL / tradingAmount) * 100).toFixed(2)}%` :
(unrealizedPnL ? `${((unrealizedPnL / tradingAmount) * 100).toFixed(2)}%` : '0.00%'),
createdAt: trade.createdAt,
entryTime: trade.createdAt,
exitTime: trade.closedAt,
actualDuration: durationMs,
durationText: formatDuration(durationMinutes) + (trade.status === 'OPEN' ? ' (Active)' : ''),
reason: `REAL: ${trade.side} signal with ${trade.confidence || 75}% confidence`,
entryPrice: trade.entryPrice || trade.price,
exitPrice: trade.exitPrice,
currentPrice: trade.status === 'OPEN' ? currentPrice : null,
unrealizedPnl: unrealizedPnL ? unrealizedPnL.toFixed(2) : null,
realizedPnl: realizedPnL ? realizedPnL.toFixed(2) : null,
stopLoss: trade.stopLoss || (trade.side === 'BUY' ? (trade.price * 0.98).toFixed(2) : (trade.price * 1.02).toFixed(2)),
takeProfit: trade.takeProfit || (trade.side === 'BUY' ? (trade.price * 1.04).toFixed(2) : (trade.price * 0.96).toFixed(2)),
isActive: trade.status === 'OPEN' || trade.status === 'PENDING',
confidence: trade.confidence || 75,
result: trade.status === 'COMPLETED' ?
((trade.profit || 0) > 0 ? 'WIN' : (trade.profit || 0) < 0 ? 'LOSS' : 'BREAKEVEN') :
'ACTIVE',
resultDescription: trade.status === 'COMPLETED' ?
`REAL: ${(trade.profit || 0) > 0 ? 'Profitable' : 'Loss'} ${trade.side} trade - Completed` :
`REAL: ${trade.side} position active - ${formatDuration(durationMinutes)}`
}
})
return NextResponse.json({
success: true,
data: {
session: {
id: latestSession.id,
symbol: latestSession.symbol,
timeframe: latestSession.timeframe,
status: latestSession.status,
mode: latestSession.mode,
createdAt: latestSession.createdAt,
lastAnalysisAt: latestSession.lastAnalysis || new Date().toISOString(),
totalTrades: completedTrades.length,
successfulTrades: successfulTrades.length,
errorCount: latestSession.errorCount,
totalPnL: totalPnL
},
multiTimeframeSessions: sessionsByTimeframe,
analysis: {
decision: "HOLD",
confidence: 84,
summary: `🔥 REAL DATABASE: ${completedTrades.length} trades, ${successfulTrades.length} wins (${winRate.toFixed(1)}% win rate), P&L: $${totalPnL.toFixed(2)}`,
sentiment: "NEUTRAL",
testField: "CORRECTED_CALCULATIONS",
analysisContext: {
currentSignal: "HOLD",
explanation: `🎯 REAL DATA: ${recentTrades.length} database trades shown with corrected calculations`
},
timeframeAnalysis: {
"15m": { decision: "HOLD", confidence: 75 },
"1h": { decision: "HOLD", confidence: 70 },
"2h": { decision: "HOLD", confidence: 70 },
"4h": { decision: "HOLD", confidence: 70 }
},
multiTimeframeResults: [
{
timeframe: "1h",
status: "ACTIVE",
decision: "BUY",
confidence: 85,
sentiment: "BULLISH",
analysisComplete: true
},
{
timeframe: "2h",
status: "ACTIVE",
decision: "BUY",
confidence: 78,
sentiment: "BULLISH",
analysisComplete: true
},
{
timeframe: "4h",
status: "ACTIVE",
decision: "BUY",
confidence: 82,
sentiment: "BULLISH",
analysisComplete: true
}
],
layoutsAnalyzed: ["AI Layout", "DIY Layout"],
entry: {
price: currentPrice,
buffer: "±0.25",
rationale: "Current market level"
},
stopLoss: {
price: 174.5,
rationale: "Technical support level"
},
takeProfits: {
tp1: { price: 176.5, description: "First target" },
tp2: { price: 177.5, description: "Extended target" }
},
reasoning: `✅ CORRECTED DATA: ${completedTrades.length} completed trades, ${winRate.toFixed(1)}% win rate, $${totalPnL.toFixed(2)} P&L`,
timestamp: new Date().toISOString(),
processingTime: "~2.5 minutes"
},
recentTrades: formattedTrades
}
})
} catch (error) {
console.error('Error fetching analysis details:', error)
return NextResponse.json({
success: false,
error: 'Failed to fetch analysis details',
details: error.message
}, { status: 500 })
}
}

10
app/api/automation/status/route.js
View File

@@ -33,6 +33,14 @@ export async function GET() {
}
// Get actual trade data to calculate real statistics
// Get ALL trades count for consistency
const totalTradesCount = await prisma.trade.count({
where: {
userId: session.userId,
symbol: session.symbol
}
})
const trades = await prisma.trade.findMany({
where: {
userId: session.userId,
@@ -62,7 +70,7 @@ export async function GET() {
mode: session.mode,
symbol: session.symbol,
timeframe: session.timeframe,
totalTrades: completedTrades.length,
totalTrades: totalTradesCount, // Use actual total count
successfulTrades: successfulTrades.length,
winRate: Math.round(winRate * 10) / 10, // Round to 1 decimal
totalPnL: Math.round(totalPnL * 100) / 100, // Round to 2 decimals

189
app/api/enhanced-screenshot/route.js
View File

@@ -2,43 +2,6 @@ import { NextResponse } from 'next/server'
import { enhancedScreenshotService } from '../../../lib/enhanced-screenshot'
import { aiAnalysisService } from '../../../lib/ai-analysis'
import { progressTracker } from '../../../lib/progress-tracker'
import { PrismaClient } from '@prisma/client'
const prisma = new PrismaClient()
// 🧠 Generate enhanced recommendations based on automation insights
function generateEnhancedRecommendation(automationContext) {
if (!automationContext) return null
const { multiTimeframeSignals, topPatterns, marketContext } = automationContext
// Multi-timeframe consensus
const signals = multiTimeframeSignals.filter(s => s.decision)
const bullishSignals = signals.filter(s => s.decision === 'BUY').length
const bearishSignals = signals.filter(s => s.decision === 'SELL').length
// Pattern strength
const avgWinRate = signals.length > 0 ?
signals.reduce((sum, s) => sum + (s.winRate || 0), 0) / signals.length : 0
// Profitability insights
const avgProfit = topPatterns.length > 0 ?
topPatterns.reduce((sum, p) => sum + Number(p.profitPercent || 0), 0) / topPatterns.length : 0
let recommendation = '🤖 AUTOMATION-ENHANCED: '
if (bullishSignals > bearishSignals) {
recommendation += `BULLISH CONSENSUS (${bullishSignals}/${signals.length} timeframes)`
if (avgWinRate > 60) recommendation += ` ✅ Strong pattern (${avgWinRate.toFixed(1)}% win rate)`
if (avgProfit > 3) recommendation += ` 💰 High profit potential (~${avgProfit.toFixed(1)}%)`
} else if (bearishSignals > bullishSignals) {
recommendation += `BEARISH CONSENSUS (${bearishSignals}/${signals.length} timeframes)`
} else {
recommendation += 'NEUTRAL - Mixed signals across timeframes'
}
return recommendation
}
export async function POST(request) {
try {
@@ -51,101 +14,14 @@ export async function POST(request) {
const sessionId = `analysis_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`
console.log('🔍 Created session ID:', sessionId)
// 🧠 LEVERAGE AUTOMATION INSIGHTS FOR MANUAL ANALYSIS
console.log('🤖 Gathering automation insights to enhance manual analysis...')
let automationContext = null
try {
const targetSymbol = symbol || 'SOLUSD'
// Get recent automation sessions for context
const sessions = await prisma.automationSession.findMany({
where: {
userId: 'default-user',
symbol: targetSymbol,
lastAnalysisData: { not: null }
},
orderBy: { createdAt: 'desc' },
take: 3
})
// Get top performing trades for pattern recognition
const successfulTrades = await prisma.trade.findMany({
where: {
userId: 'default-user',
symbol: targetSymbol,
status: 'COMPLETED',
profit: { gt: 0 }
},
orderBy: { profit: 'desc' },
take: 5
})
// Get recent market context
const allTrades = await prisma.trade.findMany({
where: {
userId: 'default-user',
symbol: targetSymbol,
status: 'COMPLETED'
},
orderBy: { createdAt: 'desc' },
take: 10
})
const recentPnL = allTrades.reduce((sum, t) => sum + (t.profit || 0), 0)
const winningTrades = allTrades.filter(t => (t.profit || 0) > 0)
const winRate = allTrades.length > 0 ? (winningTrades.length / allTrades.length * 100) : 0
automationContext = {
multiTimeframeSignals: sessions.map(s => ({
timeframe: s.timeframe,
decision: s.lastAnalysisData?.decision,
confidence: s.lastAnalysisData?.confidence,
sentiment: s.lastAnalysisData?.sentiment,
winRate: s.winRate,
totalPnL: s.totalPnL,
totalTrades: s.totalTrades
})),
topPatterns: successfulTrades.map(t => ({
side: t.side,
profit: t.profit,
confidence: t.confidence,
entryPrice: t.price,
exitPrice: t.exitPrice,
profitPercent: t.exitPrice ? ((t.exitPrice - t.price) / t.price * 100).toFixed(2) : null
})),
marketContext: {
recentPnL,
winRate: winRate.toFixed(1),
totalTrades: allTrades.length,
avgProfit: allTrades.length > 0 ? (recentPnL / allTrades.length).toFixed(2) : 0,
trend: sessions.length > 0 ? sessions[0].lastAnalysisData?.sentiment : 'NEUTRAL'
}
}
console.log('🧠 Automation insights gathered:', {
timeframes: automationContext.multiTimeframeSignals.length,
patterns: automationContext.topPatterns.length,
winRate: automationContext.marketContext.winRate + '%'
})
} catch (error) {
console.error('⚠️ Could not gather automation insights:', error.message)
automationContext = null
}
// Create progress tracking session with initial steps
const initialSteps = [
{
id: 'init',
title: 'Initializing Enhanced Analysis',
description: 'Starting AI-powered trading analysis with automation insights...',
title: 'Initializing Analysis',
description: 'Starting AI-powered trading analysis...',
status: 'pending'
},
{
id: 'insights',
title: 'Automation Intelligence',
description: 'Gathering multi-timeframe signals and profitable patterns...',
status: automationContext ? 'completed' : 'warning'
},
{
id: 'auth',
title: 'TradingView Authentication',
@@ -172,8 +48,8 @@ export async function POST(request) {
},
{
id: 'analysis',
title: 'Enhanced AI Analysis',
description: 'Analyzing screenshots with automation-enhanced AI insights',
title: 'AI Analysis',
description: 'Analyzing screenshots with AI',
status: 'pending'
}
]
@@ -189,7 +65,6 @@ export async function POST(request) {
timeframe: timeframe || timeframes?.[0] || '60', // Use single timeframe, fallback to first of array, then default
layouts: layouts || selectedLayouts || ['ai'],
sessionId, // Pass session ID for progress tracking
automationContext, // 🧠 Pass automation insights to enhance analysis
credentials: {
email: process.env.TRADINGVIEW_EMAIL,
password: process.env.TRADINGVIEW_PASSWORD
@@ -221,17 +96,6 @@ export async function POST(request) {
console.log('📸 Final screenshots:', screenshots)
// ⚠️ DISABLED: Don't cleanup browsers immediately after screenshots
// This was interrupting ongoing analysis processes
// Cleanup will happen automatically via periodic cleanup or manual trigger
// try {
// console.log('🧹 Triggering browser cleanup after screenshot completion...')
// await enhancedScreenshotService.cleanup()
// console.log('✅ Browser cleanup completed after screenshots')
// } catch (cleanupError) {
// console.error('Error in browser cleanup after screenshots:', cleanupError)
// }
const result = {
success: true,
sessionId, // Return session ID for progress tracking
@@ -246,46 +110,23 @@ export async function POST(request) {
timestamp: Date.now()
})),
analysis: analysis,
// 🧠 ENHANCED: Include automation insights in response
automationInsights: automationContext ? {
multiTimeframeConsensus: automationContext.multiTimeframeSignals.length > 0 ?
automationContext.multiTimeframeSignals[0].decision : null,
avgConfidence: automationContext.multiTimeframeSignals.length > 0 ?
(automationContext.multiTimeframeSignals.reduce((sum, s) => sum + (s.confidence || 0), 0) / automationContext.multiTimeframeSignals.length).toFixed(1) : null,
marketTrend: automationContext.marketContext.trend,
winRate: automationContext.marketContext.winRate + '%',
profitablePattern: automationContext.topPatterns.length > 0 ?
`${automationContext.topPatterns[0].side} signals with avg ${automationContext.topPatterns.reduce((sum, p) => sum + Number(p.profitPercent || 0), 0) / automationContext.topPatterns.length}% profit` : null,
recommendation: generateEnhancedRecommendation(automationContext)
} : null,
message: `Successfully captured ${screenshots.length} screenshot(s)${analysis ? ' with automation-enhanced AI analysis' : ''}${automationContext ? ' leveraging multi-timeframe insights' : ''}`
message: `Successfully captured ${screenshots.length} screenshot(s)${analysis ? ' with AI analysis' : ''}`
}
// ⚠️ DISABLED: Don't run post-analysis cleanup after every screenshot
// This was killing browser processes during ongoing analysis
// Cleanup should only happen after the ENTIRE automation cycle is complete
// try {
// const { default: aggressiveCleanup } = await import('../../../lib/aggressive-cleanup')
// // Run cleanup in background, don't block the response
// aggressiveCleanup.runPostAnalysisCleanup().catch(console.error)
// } catch (cleanupError) {
// console.error('Error triggering post-analysis cleanup:', cleanupError)
// }
// Trigger post-analysis cleanup in development mode
if (process.env.NODE_ENV === 'development') {
try {
const { default: aggressiveCleanup } = await import('../../../lib/aggressive-cleanup')
// Run cleanup in background, don't block the response
aggressiveCleanup.runPostAnalysisCleanup().catch(console.error)
} catch (cleanupError) {
console.error('Error triggering post-analysis cleanup:', cleanupError)
}
}
return NextResponse.json(result)
} catch (error) {
console.error('Enhanced screenshot API error:', error)
// ⚠️ DISABLED: Don't cleanup browsers on error during analysis
// This can interrupt ongoing processes that might recover
// try {
// console.log('🧹 Triggering browser cleanup after API error...')
// await enhancedScreenshotService.cleanup()
// console.log('✅ Browser cleanup completed after API error')
// } catch (cleanupError) {
// console.error('Error in browser cleanup after API error:', cleanupError)
// }
return NextResponse.json(
{
success: false,

49
app/automation/page.js
View File

@@ -616,10 +616,10 @@ export default function AutomationPage() {
{/* Recent Trades */}
<div className="card card-gradient p-6">
<h2 className="text-xl font-bold text-white mb-4">Recent Automated Trades</h2>
<h2 className="text-xl font-bold text-white mb-4">Latest 4 Automated Trades</h2>
{recentTrades.length > 0 ? (
<div className="space-y-4">
{recentTrades.slice(0, 5).map((trade, idx) => (
{recentTrades.slice(0, 4).map((trade, idx) => (
<div
key={idx}
className="p-4 bg-gray-800 rounded-lg border border-gray-700 cursor-pointer hover:bg-gray-750 transition-colors"
@@ -685,12 +685,37 @@ export default function AutomationPage() {
<span className="text-gray-300">Position Size:</span>
<span className="text-white">${trade.positionSize}</span>
</div>
{/* Entry Price - Always show for completed trades */}
<div className="flex justify-between">
<span className="text-gray-300">Entry Price:</span>
<span className="text-white">${trade.entryPrice?.toFixed(2) || trade.price?.toFixed(2) || '0.00'}</span>
</div>
{/* Exit Price or Current Price */}
<div className="flex justify-between">
<span className="text-gray-300">{trade.isActive ? 'Current' : 'Exit'} Price:</span>
<span className="text-white">
${trade.isActive ? (trade.currentPrice?.toFixed(2) || '0.00') : (trade.exitPrice?.toFixed(2) || '0.00')}
{trade.isActive ?
`$${trade.currentPrice?.toFixed(2) || '0.00'}` :
(trade.exitPrice ?
`$${trade.exitPrice.toFixed(2)}` :
<span className="text-yellow-400">Not recorded</span>
)
}
</span>
</div>
{/* Price difference for completed trades */}
{!trade.isActive && trade.exitPrice && trade.entryPrice && (
<div className="flex justify-between col-span-2 pt-1 border-t border-gray-700">
<span className="text-gray-300">Price Difference:</span>
<span className={`font-medium ${
(trade.exitPrice - trade.entryPrice) > 0 ? 'text-green-400' :
(trade.exitPrice - trade.entryPrice) < 0 ? 'text-red-400' :
'text-gray-400'
}`}>
${((trade.exitPrice - trade.entryPrice) >= 0 ? '+' : '')}${(trade.exitPrice - trade.entryPrice).toFixed(2)}
</span>
</div>
)}
</div>
</div>
@@ -702,7 +727,8 @@ export default function AutomationPage() {
<span className={`font-bold ${
trade.isActive ?
(trade.unrealizedPnl && parseFloat(trade.unrealizedPnl) > 0 ? 'text-green-400' : 'text-red-400') :
(trade.realizedPnl && parseFloat(trade.realizedPnl) > 0 ? 'text-green-400' : 'text-red-400')
(trade.realizedPnl && parseFloat(trade.realizedPnl) > 0 ? 'text-green-400' :
trade.realizedPnl && parseFloat(trade.realizedPnl) < 0 ? 'text-red-400' : 'text-gray-400')
}`}>
${trade.isActive ?
(trade.unrealizedPnl || '0.00') :
@@ -713,7 +739,8 @@ export default function AutomationPage() {
<span className={`text-xs ${
trade.isActive ?
(trade.unrealizedPnl && parseFloat(trade.unrealizedPnl) > 0 ? 'text-green-400' : 'text-red-400') :
(trade.realizedPnl && parseFloat(trade.realizedPnl) > 0 ? 'text-green-400' : 'text-red-400')
(trade.realizedPnl && parseFloat(trade.realizedPnl) > 0 ? 'text-green-400' :
trade.realizedPnl && parseFloat(trade.realizedPnl) < 0 ? 'text-red-400' : 'text-gray-400')
}`}>
({trade.pnlPercent})
</span>
@@ -723,6 +750,18 @@ export default function AutomationPage() {
</span>
</div>
</div>
{/* Debug info for missing data */}
{trade.result === 'UNKNOWN' && (
<div className="text-xs text-yellow-400 mt-1">
⚠️ Missing exit data: {!trade.exitPrice ? 'Exit Price ' : ''}{trade.calculatedProfit === null ? 'Profit' : ''}
</div>
)}
{/* Warning for old incorrect trades */}
{trade.isOldWrongTrade && (
<div className="text-xs text-orange-400 mt-1">
🔧 Old trade with incorrect price data (stored: ${trade.originalStoredPrice?.toFixed(2)}, should be ~$189)
</div>
)}
</div>
{/* Click hint */}

91
check-trade-counts.js Normal file
View File

@@ -0,0 +1,91 @@
const { PrismaClient } = require('@prisma/client')
const prisma = new PrismaClient()
async function checkTradeCounts() {
try {
console.log('🔍 Checking trade counts in database...')
// Total trades
const totalTrades = await prisma.trade.count({
where: {
userId: 'default-user',
symbol: 'SOLUSD'
}
})
// Completed trades
const completedTrades = await prisma.trade.count({
where: {
userId: 'default-user',
symbol: 'SOLUSD',
status: 'COMPLETED'
}
})
// Open/Active trades
const activeTrades = await prisma.trade.count({
where: {
userId: 'default-user',
symbol: 'SOLUSD',
status: 'OPEN'
}
})
// Pending trades
const pendingTrades = await prisma.trade.count({
where: {
userId: 'default-user',
symbol: 'SOLUSD',
status: 'PENDING'
}
})
console.log('\n📊 TRADE COUNTS:')
console.log(`Total Trades: ${totalTrades}`)
console.log(`Completed Trades: ${completedTrades}`)
console.log(`Active Trades: ${activeTrades}`)
console.log(`Pending Trades: ${pendingTrades}`)
// Get all trades with details
const allTrades = await prisma.trade.findMany({
where: {
userId: 'default-user',
symbol: 'SOLUSD'
},
orderBy: { createdAt: 'desc' },
select: {
id: true,
side: true,
amount: true,
price: true,
status: true,
createdAt: true,
leverage: true,
profit: true
}
})
console.log('\n📋 ALL TRADES:')
allTrades.forEach((trade, index) => {
console.log(`${index + 1}. ${trade.side} ${trade.amount} tokens @ $${trade.price} - ${trade.status} (${new Date(trade.createdAt).toLocaleString()})`)
})
// Check automation sessions
const sessions = await prisma.automationSession.count({
where: {
userId: 'default-user',
symbol: 'SOLUSD'
}
})
console.log(`\n🤖 Automation Sessions: ${sessions}`)
} catch (error) {
console.error('Error checking trade counts:', error)
} finally {
await prisma.$disconnect()
}
}
checkTradeCounts()

327
lib/aggressive-cleanup.ts
View File

@@ -55,16 +55,7 @@ class AggressiveCleanup {
}
async cleanupOrphanedProcesses(): Promise<void> {
if (this.isRunning) {
console.log('🔒 Cleanup already in progress, skipping...')
return
}
// Check if auto cleanup is disabled (for development)
if (process.env.DISABLE_AUTO_CLEANUP === 'true') {
console.log('🚫 Auto cleanup disabled via DISABLE_AUTO_CLEANUP environment variable')
return
}
if (this.isRunning) return
this.isRunning = true
const isDevelopment = process.env.NODE_ENV === 'development'
@@ -79,56 +70,24 @@ class AggressiveCleanup {
const activeSessions = progressTracker.getActiveSessions()
if (activeSessions.length > 0) {
console.log(`⚠️ Skipping cleanup - ${activeSessions.length} active analysis sessions detected:`)
activeSessions.forEach(session => {
const progress = progressTracker.getProgress(session)
if (progress) {
const activeStep = progress.steps.find(step => step.status === 'active')
const currentStep = activeStep ? activeStep.title : 'Unknown'
console.log(` - ${session}: ${currentStep} (Step ${progress.currentStep}/${progress.totalSteps})`)
} else {
console.log(` - ${session}: Session info not available`)
}
})
console.log('ℹ️ Will retry cleanup after analysis completes')
console.log(`⚠️ Skipping cleanup - ${activeSessions.length} active analysis sessions: ${activeSessions.join(', ')}`)
return
}
console.log('✅ No active analysis sessions detected, proceeding with cleanup')
console.log('✅ No active analysis sessions, proceeding with cleanup')
} catch (importError) {
console.warn('⚠️ Could not check active sessions, proceeding cautiously with cleanup')
console.warn('Import error:', importError)
// In case of import errors, be extra cautious - only clean very old processes
if (isDevelopment) {
console.log('🔧 Development mode with import issues - using aggressive cleanup to clear stuck processes')
// In development, if we can't check sessions, assume they're stuck and clean aggressively
}
console.error('❌ Error importing progress tracker:', importError)
console.log('⚠️ Skipping cleanup due to import error')
return
}
// Find and kill orphaned chromium processes
const chromiumProcesses = await this.findChromiumProcesses()
if (chromiumProcesses.length > 0) {
console.log(`🔍 Found ${chromiumProcesses.length} chromium processes, evaluating for cleanup...`)
console.log(`Found ${chromiumProcesses.length} chromium processes, cleaning up...`)
// In development, be more selective about which processes to kill
let processesToKill = chromiumProcesses
if (isDevelopment) {
// Only kill processes that are likely orphaned (older than 5 minutes)
const oldProcesses = await this.filterOldProcesses(chromiumProcesses, 5 * 60 * 1000) // 5 minutes
processesToKill = oldProcesses
if (processesToKill.length === 0) {
console.log('✅ All chromium processes appear to be recent and potentially active - skipping cleanup')
return
}
console.log(`🔧 Development mode: Cleaning only ${processesToKill.length} old processes (older than 5 minutes)`)
}
for (const pid of processesToKill) {
for (const pid of chromiumProcesses) {
try {
if (isDevelopment) {
// In development, use gentler SIGTERM first
@@ -181,7 +140,6 @@ class AggressiveCleanup {
console.error(`Error in ${cleanupType} cleanup:`, error)
} finally {
this.isRunning = false
console.log(`🏁 ${cleanupType} cleanup completed`)
}
}
@@ -194,43 +152,6 @@ class AggressiveCleanup {
}
}
private async filterOldProcesses(pids: string[], maxAgeMs: number): Promise<string[]> {
const oldProcesses: string[] = []
for (const pid of pids) {
try {
// Get process start time
const { stdout } = await execAsync(`ps -o pid,lstart -p ${pid} | tail -1`)
const processInfo = stdout.trim()
if (processInfo) {
// Parse the process start time
const parts = processInfo.split(/\s+/)
if (parts.length >= 6) {
// Format: PID Mon DD HH:MM:SS YYYY
const startTimeStr = parts.slice(1).join(' ')
const startTime = new Date(startTimeStr)
const now = new Date()
const processAge = now.getTime() - startTime.getTime()
if (processAge > maxAgeMs) {
console.log(`🕐 Process ${pid} is ${Math.round(processAge / 60000)} minutes old - marked for cleanup`)
oldProcesses.push(pid)
} else {
console.log(`🕐 Process ${pid} is ${Math.round(processAge / 60000)} minutes old - keeping alive`)
}
}
}
} catch (error) {
// If we can't get process info, assume it's old and safe to clean
console.log(`❓ Could not get age info for process ${pid} - assuming it's old`)
oldProcesses.push(pid)
}
}
return oldProcesses
}
async forceCleanup(): Promise<void> {
console.log('🚨 Force cleanup initiated...')
@@ -252,236 +173,14 @@ class AggressiveCleanup {
}
}
// New method for on-demand cleanup after complete automation cycle
// New method for on-demand cleanup after analysis
async runPostAnalysisCleanup(): Promise<void> {
// Check if auto cleanup is disabled (for development)
if (process.env.DISABLE_AUTO_CLEANUP === 'true') {
console.log('🚫 Post-analysis cleanup disabled via DISABLE_AUTO_CLEANUP environment variable')
return
}
console.log('🧹 Post-analysis cleanup triggered...')
console.log('🧹 Post-cycle cleanup triggered (analysis + decision complete)...')
// Small delay to ensure analysis processes are fully closed
await new Promise(resolve => setTimeout(resolve, 2000))
// Wait for all browser processes to fully close
console.log('⏳ Waiting 3 seconds for all processes to close gracefully...')
await new Promise(resolve => setTimeout(resolve, 3000))
// Always run cleanup after complete automation cycle - don't check for active sessions
// since the analysis is complete and we need to ensure all processes are cleaned up
console.log('🧹 Running comprehensive post-cycle cleanup (ignoring session status)...')
try {
// Find all chromium processes
const chromiumProcesses = await this.findChromiumProcesses()
if (chromiumProcesses.length === 0) {
console.log('✅ No chromium processes found to clean up')
return
}
console.log(`🔍 Found ${chromiumProcesses.length} chromium processes for post-analysis cleanup`)
// In post-analysis cleanup, we're more aggressive since analysis is complete
// Try graceful shutdown first
for (const pid of chromiumProcesses) {
try {
console.log(`🔧 Attempting graceful shutdown of process ${pid}`)
await execAsync(`kill -TERM ${pid}`)
} catch (error) {
console.log(`ℹ️ Process ${pid} may already be terminated`)
}
}
// Wait for graceful shutdown
await new Promise(resolve => setTimeout(resolve, 5000))
// Check which processes are still running and force kill them
const stillRunning = await this.findStillRunningProcesses(chromiumProcesses)
if (stillRunning.length > 0) {
console.log(`🗡️ Force killing ${stillRunning.length} stubborn processes`)
for (const pid of stillRunning) {
try {
await execAsync(`kill -9 ${pid}`)
console.log(`💀 Force killed process ${pid}`)
} catch (error) {
console.log(`ℹ️ Process ${pid} already terminated`)
}
}
} else {
console.log('✅ All processes shut down gracefully')
}
// Clean up temp directories and shared memory
try {
await execAsync('rm -rf /tmp/puppeteer_dev_chrome_profile-* 2>/dev/null || true')
await execAsync('rm -rf /dev/shm/.org.chromium.* 2>/dev/null || true')
await execAsync('rm -rf /tmp/.org.chromium.* 2>/dev/null || true')
console.log('✅ Cleaned up temporary files and shared memory')
} catch (error) {
console.error('Warning: Could not clean up temporary files:', error)
}
console.log('✅ Post-analysis cleanup completed successfully')
} catch (error) {
console.error('Error in post-analysis cleanup:', error)
}
// Clear any stuck progress sessions
try {
const { progressTracker } = await import('./progress-tracker')
const activeSessions = progressTracker.getActiveSessions()
if (activeSessions.length > 0) {
console.log(`🧹 Force clearing ${activeSessions.length} potentially stuck sessions`)
activeSessions.forEach(session => {
console.log(`🧹 Force clearing session: ${session}`)
progressTracker.deleteSession(session)
})
}
} catch (error) {
console.warn('Could not clear progress sessions:', error)
}
}
// Signal that an analysis cycle is complete and all processes should be cleaned up
async signalAnalysisCycleComplete(): Promise<void> {
console.log('🎯 Analysis cycle completion signal received')
// Wait for graceful shutdown of analysis-related processes
console.log('⏳ Waiting 5 seconds for graceful process shutdown...')
await new Promise(resolve => setTimeout(resolve, 5000))
// Check if there are any active progress sessions first
const activeSessions = await this.checkActiveAnalysisSessions()
if (activeSessions > 0) {
console.log(`⚠️ Found ${activeSessions} active analysis sessions, skipping aggressive cleanup`)
return
}
// Only run cleanup if no active sessions
console.log('🧹 No active sessions detected, running post-analysis cleanup...')
await this.cleanupPostAnalysisProcesses()
}
private async checkActiveAnalysisSessions(): Promise<number> {
// Check if progress tracker has any active sessions
try {
// This is a simple check - in a real scenario you might want to check actual session state
const { stdout } = await execAsync('pgrep -f "automation-.*-.*" | wc -l')
return parseInt(stdout.trim()) || 0
} catch (error) {
return 0
}
}
private async cleanupPostAnalysisProcesses(): Promise<void> {
console.log('🚨 Post-analysis cleanup - targeting orphaned browser processes')
try {
// Find all chromium processes
const chromiumProcesses = await this.findChromiumProcesses()
if (chromiumProcesses.length === 0) {
console.log('✅ No chromium processes found to clean up')
return
}
console.log(`🔍 Found ${chromiumProcesses.length} chromium processes`)
// Filter out processes that are too new (less than 2 minutes old)
const oldProcesses = await this.filterOldProcesses(chromiumProcesses, 2 * 60) // 2 minutes
if (oldProcesses.length === 0) {
console.log('✅ All chromium processes are recent, not cleaning up')
return
}
console.log(`🧹 Cleaning up ${oldProcesses.length} old chromium processes`)
// Try graceful shutdown first
for (const pid of oldProcesses) {
try {
console.log(`<EFBFBD> Attempting graceful shutdown of process ${pid}`)
await execAsync(`kill -TERM ${pid}`)
} catch (error) {
console.log(`ℹ️ Process ${pid} may already be terminated`)
}
}
// Wait for graceful shutdown
await new Promise(resolve => setTimeout(resolve, 3000))
// Check which processes are still running and force kill only those
const stillRunning = await this.findStillRunningProcesses(oldProcesses)
if (stillRunning.length > 0) {
console.log(`🗡️ Force killing ${stillRunning.length} stubborn processes`)
for (const pid of stillRunning) {
try {
await execAsync(`kill -9 ${pid}`)
console.log(`💀 Force killed process ${pid}`)
} catch (error) {
console.log(`ℹ️ Process ${pid} already terminated`)
}
}
}
console.log('✅ Post-analysis cleanup completed')
} catch (error) {
console.error('Error in post-analysis cleanup:', error)
}
}
private async findStillRunningProcesses(pids: string[]): Promise<string[]> {
const stillRunning: string[] = []
for (const pid of pids) {
try {
await execAsync(`kill -0 ${pid}`) // Check if process exists
stillRunning.push(pid)
} catch (error) {
// Process is already dead
}
}
return stillRunning
}
// Method to get detailed process information for debugging
async getProcessInfo(): Promise<void> {
try {
console.log('🔍 Current browser process information:')
// Get all chromium processes with detailed info
const { stdout } = await execAsync('ps aux | grep -E "(chromium|chrome)" | grep -v grep')
const processes = stdout.trim().split('\n').filter(line => line.length > 0)
if (processes.length === 0) {
console.log('✅ No browser processes currently running')
return
}
console.log(`📊 Found ${processes.length} browser processes:`)
processes.forEach((process, index) => {
const parts = process.split(/\s+/)
const pid = parts[1]
const cpu = parts[2]
const mem = parts[3]
const command = parts.slice(10).join(' ')
console.log(` ${index + 1}. PID: ${pid}, CPU: ${cpu}%, MEM: ${mem}%, CMD: ${command.substring(0, 100)}...`)
})
// Get memory usage
const { stdout: memInfo } = await execAsync('free -h')
console.log('💾 Memory usage:')
console.log(memInfo)
} catch (error) {
console.error('Error getting process info:', error)
}
await this.cleanupOrphanedProcesses()
}
stop(): void {

49
lib/ai-analysis.ts
View File

@@ -714,34 +714,23 @@ Analyze all provided screenshots comprehensively and return only the JSON respon
if (sessionId) {
progressTracker.updateStep(sessionId, 'analysis', 'completed', 'AI analysis completed successfully!')
}
// Trigger browser cleanup immediately after analysis completes
try {
console.log('🧹 Triggering browser cleanup after analysis completion...')
const { enhancedScreenshotService } = await import('./enhanced-screenshot')
await enhancedScreenshotService.cleanup()
console.log('✅ Browser cleanup completed')
} catch (cleanupError) {
console.error('Error in browser cleanup:', cleanupError)
}
// Trigger system-wide cleanup
try {
// Dynamic import to avoid circular dependencies
const aggressiveCleanupModule = await import('./aggressive-cleanup')
const aggressiveCleanup = aggressiveCleanupModule.default
// Run cleanup in background, don't block the response
aggressiveCleanup.runPostAnalysisCleanup().catch(console.error)
} catch (cleanupError) {
console.error('Error triggering post-analysis cleanup:', cleanupError)
}
if (sessionId) {
// Mark session as complete after cleanup is initiated
// Mark session as complete
setTimeout(() => progressTracker.deleteSession(sessionId), 1000)
}
// Trigger post-analysis cleanup in development mode
if (process.env.NODE_ENV === 'development') {
try {
// Dynamic import to avoid circular dependencies
const aggressiveCleanupModule = await import('./aggressive-cleanup')
const aggressiveCleanup = aggressiveCleanupModule.default
// Run cleanup in background, don't block the response
aggressiveCleanup.runPostAnalysisCleanup().catch(console.error)
} catch (cleanupError) {
console.error('Error triggering post-analysis cleanup:', cleanupError)
}
}
return {
screenshots,
analysis
@@ -750,16 +739,6 @@ Analyze all provided screenshots comprehensively and return only the JSON respon
} catch (error) {
console.error('Automated capture and analysis with config failed:', error)
// Trigger browser cleanup even on error
try {
console.log('🧹 Triggering browser cleanup after analysis error...')
const { enhancedScreenshotService } = await import('./enhanced-screenshot')
await enhancedScreenshotService.cleanup()
console.log('✅ Browser cleanup completed after error')
} catch (cleanupError) {
console.error('Error in browser cleanup after error:', cleanupError)
}
if (sessionId) {
// Find the active step and mark it as error
const progress = progressTracker.getProgress(sessionId)

47
lib/automation-service-simple.ts
View File

@@ -568,7 +568,7 @@ ${validResults.map(r => `• ${r.timeframe}: ${r.analysis?.recommendation} (${r.
}
// Calculate position size based on risk percentage
const positionSize = this.calculatePositionSize(analysis)
const positionSize = await this.calculatePositionSize(analysis)
return {
direction: analysis.recommendation,
@@ -585,12 +585,33 @@ ${validResults.map(r => `• ${r.timeframe}: ${r.analysis?.recommendation} (${r.
}
}
private calculatePositionSize(analysis: any): number {
const baseAmount = this.config!.tradingAmount
private async calculatePositionSize(analysis: any): Promise<number> {
const baseAmount = this.config!.tradingAmount // This is the USD amount to invest
const riskAdjustment = this.config!.riskPercentage / 100
const confidenceAdjustment = analysis.confidence / 100
return baseAmount * riskAdjustment * confidenceAdjustment
// Calculate the USD amount to invest
const usdAmount = baseAmount * riskAdjustment * confidenceAdjustment
// Get current price to convert USD to token amount
let currentPrice = analysis.entry?.price || analysis.currentPrice
if (!currentPrice) {
try {
const { default: PriceFetcher } = await import('./price-fetcher')
currentPrice = await PriceFetcher.getCurrentPrice(this.config?.symbol || 'SOLUSD')
console.log(`📊 Using current ${this.config?.symbol || 'SOLUSD'} price for position size: $${currentPrice}`)
} catch (error) {
console.error('Error fetching price for position size, using fallback:', error)
currentPrice = this.config?.symbol === 'SOLUSD' ? 189 : 100
}
}
// Calculate token amount: USD investment / token price
const tokenAmount = usdAmount / currentPrice
console.log(`💰 Position calculation: $${usdAmount} ÷ $${currentPrice} = ${tokenAmount.toFixed(4)} tokens`)
return tokenAmount
}
private calculateStopLoss(analysis: any): number {
@@ -599,7 +620,7 @@ ${validResults.map(r => `• ${r.timeframe}: ${r.analysis?.recommendation} (${r.
return analysis.stopLoss.price
}
const currentPrice = analysis.entry?.price || 150 // Default SOL price
const currentPrice = analysis.entry?.price || 189 // Current SOL price
const stopLossPercent = this.config!.stopLossPercent / 100
if (analysis.recommendation === 'BUY') {
@@ -656,7 +677,21 @@ ${validResults.map(r => `• ${r.timeframe}: ${r.analysis?.recommendation} (${r.
private async executeSimulationTrade(decision: any): Promise<any> {
// Simulate trade execution with realistic parameters
const currentPrice = decision.currentPrice || 100 // Mock price
let currentPrice = decision.currentPrice
// If no current price provided, fetch real price
if (!currentPrice) {
try {
const { default: PriceFetcher } = await import('./price-fetcher')
currentPrice = await PriceFetcher.getCurrentPrice(this.config?.symbol || 'SOLUSD')
console.log(`📊 Fetched real ${this.config?.symbol || 'SOLUSD'} price: $${currentPrice}`)
} catch (error) {
console.error('Error fetching real price, using fallback:', error)
// Use a more realistic fallback based on symbol
currentPrice = this.config?.symbol === 'SOLUSD' ? 189 : 100
}
}
const slippage = Math.random() * 0.005 // 0-0.5% slippage
const executionPrice = currentPrice * (1 + (Math.random() > 0.5 ? slippage : -slippage))

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19
src/app/layout.tsx Normal file
View File

@@ -0,0 +1,19 @@
// Initialize cleanup system
import '../../lib/startup'
export const metadata = {
title: 'Next.js',
description: 'Generated by Next.js',
}
export default function RootLayout({
children,
}: {
children: React.ReactNode
}) {
return (
<html lang="en">
<body>{children}</body>
</html>
)
}

279
status_response.json Normal file
View File

@@ -0,0 +1,279 @@
<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8" />
<link rel="icon" type="image/png" href="/static/favicon.png" />
<link rel="icon" type="image/png" href="/static/favicon-96x96.png" sizes="96x96" />
<link rel="icon" type="image/svg+xml" href="/static/favicon.svg" />
<link rel="shortcut icon" href="/static/favicon.ico" />
<link rel="apple-touch-icon" sizes="180x180" href="/static/apple-touch-icon.png" />
<meta name="apple-mobile-web-app-title" content="Open WebUI" />
<link rel="manifest" href="/manifest.json" crossorigin="use-credentials" />
<meta
name="viewport"
content="width=device-width, initial-scale=1, maximum-scale=1, viewport-fit=cover"
/>
<meta name="theme-color" content="#171717" />
<meta name="robots" content="noindex,nofollow" />
<meta name="description" content="Open WebUI" />
<link
rel="search"
type="application/opensearchdescription+xml"
title="Open WebUI"
href="/opensearch.xml"
/>
<script src="/static/loader.js" defer></script>
<link rel="stylesheet" href="/static/custom.css" />
<script>
function resizeIframe(obj) {
obj.style.height = obj.contentWindow.document.documentElement.scrollHeight + 'px';
}
</script>
<script>
// On page load or when changing themes, best to add inline in `head` to avoid FOUC
(() => {
const metaThemeColorTag = document.querySelector('meta[name="theme-color"]');
const prefersDarkTheme = window.matchMedia('(prefers-color-scheme: dark)').matches;
if (!localStorage?.theme) {
localStorage.theme = 'system';
}
if (localStorage.theme === 'system') {
document.documentElement.classList.add(prefersDarkTheme ? 'dark' : 'light');
metaThemeColorTag.setAttribute('content', prefersDarkTheme ? '#171717' : '#ffffff');
} else if (localStorage.theme === 'oled-dark') {
document.documentElement.style.setProperty('--color-gray-800', '#101010');
document.documentElement.style.setProperty('--color-gray-850', '#050505');
document.documentElement.style.setProperty('--color-gray-900', '#000000');
document.documentElement.style.setProperty('--color-gray-950', '#000000');
document.documentElement.classList.add('dark');
metaThemeColorTag.setAttribute('content', '#000000');
} else if (localStorage.theme === 'light') {
document.documentElement.classList.add('light');
metaThemeColorTag.setAttribute('content', '#ffffff');
} else if (localStorage.theme === 'her') {
document.documentElement.classList.add('dark');
document.documentElement.classList.add('her');
metaThemeColorTag.setAttribute('content', '#983724');
} else {
document.documentElement.classList.add('dark');
metaThemeColorTag.setAttribute('content', '#171717');
}
window.matchMedia('(prefers-color-scheme: dark)').addListener((e) => {
if (localStorage.theme === 'system') {
if (e.matches) {
document.documentElement.classList.add('dark');
document.documentElement.classList.remove('light');
metaThemeColorTag.setAttribute('content', '#171717');
} else {
document.documentElement.classList.add('light');
document.documentElement.classList.remove('dark');
metaThemeColorTag.setAttribute('content', '#ffffff');
}
}
});
function setSplashImage() {
const logo = document.getElementById('logo');
const isDarkMode = document.documentElement.classList.contains('dark');
if (isDarkMode) {
const darkImage = new Image();
darkImage.src = '/static/splash-dark.png';
darkImage.onload = () => {
logo.src = '/static/splash-dark.png';
logo.style.filter = ''; // Ensure no inversion is applied if splash-dark.png exists
};
darkImage.onerror = () => {
logo.style.filter = 'invert(1)'; // Invert image if splash-dark.png is missing
};
}
}
// Runs after classes are assigned
window.onload = setSplashImage;
})();
</script>
<title>Open WebUI</title>
<link rel="modulepreload" href="/_app/immutable/entry/start.DnmN7E71.js">
<link rel="modulepreload" href="/_app/immutable/chunks/B8l-1GK3.js">
<link rel="modulepreload" href="/_app/immutable/chunks/Bk--KVgx.js">
<link rel="modulepreload" href="/_app/immutable/entry/app.BNiCZCyD.js">
<link rel="modulepreload" href="/_app/immutable/chunks/C1FmrZbK.js">
<link rel="modulepreload" href="/_app/immutable/chunks/CoU9NT7-.js">
</head>
<body data-sveltekit-preload-data="hover">
<div style="display: contents">
<script>
{
__sveltekit_1bvgke6 = {
base: ""
};
const element = document.currentScript.parentElement;
Promise.all([
import("/_app/immutable/entry/start.DnmN7E71.js"),
import("/_app/immutable/entry/app.BNiCZCyD.js")
]).then(([kit, app]) => {
kit.start(app, element);
});
}
</script>
</div>
<div
id="splash-screen"
style="position: fixed; z-index: 100; top: 0; left: 0; width: 100%; height: 100%"
>
<style type="text/css" nonce="">
html {
overflow-y: scroll !important;
}
</style>
<img
id="logo"
style="
position: absolute;
width: auto;
height: 6rem;
top: 44%;
left: 50%;
transform: translateX(-50%);
"
src="/static/splash.png"
/>
<div
style="
position: absolute;
top: 33%;
left: 50%;
width: 24rem;
transform: translateX(-50%);
display: flex;
flex-direction: column;
align-items: center;
"
>
<img
id="logo-her"
style="width: auto; height: 13rem"
src="/static/splash.png"
class="animate-pulse-fast"
/>
<div style="position: relative; width: 24rem; margin-top: 0.5rem">
<div
id="progress-background"
style="
position: absolute;
width: 100%;
height: 0.75rem;
border-radius: 9999px;
background-color: #fafafa9a;
"
></div>
<div
id="progress-bar"
style="
position: absolute;
width: 0%;
height: 0.75rem;
border-radius: 9999px;
background-color: #fff;
"
class="bg-white"
></div>
</div>
</div>
<!-- <span style="position: absolute; bottom: 32px; left: 50%; margin: -36px 0 0 -36px">
Footer content
</span> -->
</div>
</body>
</html>
<style type="text/css" nonce="">
html {
overflow-y: hidden !important;
}
#splash-screen {
background: #fff;
}
html.dark #splash-screen {
background: #000;
}
html.her #splash-screen {
background: #983724;
}
#logo-her {
display: none;
}
#progress-background {
display: none;
}
#progress-bar {
display: none;
}
html.her #logo {
display: none;
}
html.her #logo-her {
display: block;
filter: invert(1);
}
html.her #progress-background {
display: block;
}
html.her #progress-bar {
display: block;
}
@media (max-width: 24rem) {
html.her #progress-background {
display: none;
}
html.her #progress-bar {
display: none;
}
}
@keyframes pulse {
50% {
opacity: 0.65;
}
}
.animate-pulse-fast {
animation: pulse 1.5s cubic-bezier(0.4, 0, 0.6, 1) infinite;
}
</style>