Files
trading_bot_v3/test-ai-learning-recording.js
mindesbunister d7de856ce0 fix: Enable virtual trading & AI learning - UI improvements and setup guide
- Add comprehensive setup guide (VIRTUAL_TRADING_SETUP_GUIDE.md)
- Improve UI to clearly show required steps for AI learning
- Make auto-execute toggle always visible with clear instructions
- Add blue info panel explaining the learning setup process
- User can now easily enable: Continuous Learning + Auto-Execute
- Virtual trades will execute automatically and AI will learn from outcomes

Resolves issue: AI analyzing without learning due to missing virtual trade execution
2025-08-05 10:23:12 +02:00

93 lines
2.3 KiB
JavaScript

#!/usr/bin/env node
/**
* Test script to verify AI learning decision recording
*/
const { getDB } = require('./lib/db.js')
async function testLearningRecording() {
try {
console.log('🧪 Testing AI learning decision recording...')
const prisma = getDB()
// Get current count
const currentCount = await prisma.ai_learning_data.count({
where: {
OR: [
{
analysisData: {
string_contains: 'STOP_LOSS_DECISION'
}
},
{
analysisData: {
string_contains: 'ANALYSIS_DECISION'
}
}
]
}
})
console.log(`📊 Current total decisions: ${currentCount}`)
// Record a new test decision
const decisionData = {
type: 'ANALYSIS_DECISION',
symbol: 'SOLUSD',
timeframe: '60',
recommendation: 'BUY',
confidence: 85,
reasoning: 'Test analysis decision for continuous learning',
marketSentiment: 'BULLISH',
timestamp: new Date().toISOString()
}
const record = await prisma.ai_learning_data.create({
data: {
id: `test_analysis_decision_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
userId: 'continuous-learning-test',
symbol: 'SOLUSD',
timeframe: '60',
analysisData: JSON.stringify(decisionData),
marketConditions: JSON.stringify({
sentiment: 'BULLISH',
confidence: 85,
recommendation: 'BUY'
}),
confidenceScore: 85
}
})
console.log(`✅ Test decision recorded: ${record.id}`)
// Check new count
const newCount = await prisma.ai_learning_data.count({
where: {
OR: [
{
analysisData: {
string_contains: 'STOP_LOSS_DECISION'
}
},
{
analysisData: {
string_contains: 'ANALYSIS_DECISION'
}
}
]
}
})
console.log(`📊 New total decisions: ${newCount}`)
console.log(`📈 Increase: ${newCount - currentCount}`)
} catch (error) {
console.error('❌ Error testing AI learning recording:', error.message)
console.error('❌ Stack trace:', error.stack)
}
}
testLearningRecording()