Fix: Resolve SL Learner database errors and enhance automation

- Fixed Prisma schema: Added @default(cuid()) to ai_learning_data.id field
- Fixed all updatedAt fields: Added @updatedAt decorators across all models
- Enhanced position-aware automation with intelligent DCA/doubling down logic
- Added safe automation starter script with position awareness
- Resolved 'Argument id is missing' database creation errors
- All AI learning data can now be created without Prisma errors

Database schema now properly auto-generates IDs and timestamps for:
- ai_learning_data records
- All model updatedAt fields
- Prevents Enhanced Risk Manager database failures

start-automation-safe.js

@@ -0,0 +1,87 @@
+#!/usr/bin/env node
+
+/**
+ * Safe automation starter - checks position status before starting
+ */
+
+const axios = require('axios');
+
+const BASE_URL = 'http://localhost:9001';
+
+async function startAutomationSafely() {
+  console.log('🚀 Starting Position-Aware Automation Safely...\n');
+  
+  try {
+    // 1. Check current positions first
+    console.log('1. Checking current positions...');
+    const positionsResponse = await axios.get(`${BASE_URL}/api/drift/positions`);
+    const positions = positionsResponse.data.positions || [];
+    
+    console.log(`📊 Found ${positions.length} open position(s)`);
+    if (positions.length > 0) {
+      positions.forEach((pos, idx) => {
+        console.log(`   ${idx + 1}. ${pos.symbol} ${pos.side.toUpperCase()} ${pos.size} SOL`);
+        console.log(`      Entry: $${pos.entryPrice.toFixed(4)}, Current: $${pos.markPrice.toFixed(4)}`);
+        console.log(`      P&L: ${pos.unrealizedPnl >= 0 ? '+' : ''}$${pos.unrealizedPnl.toFixed(2)}`);
+      });
+    }
+    console.log('');
+    
+    // 2. Start automation with position-aware configuration
+    console.log('2. Starting position-aware automation...');
+    const automationConfig = {
+      symbol: 'SOLUSD',
+      mode: 'LIVE',  // Set to LIVE for real trading
+      selectedTimeframes: ['5', '15'],  // Scalping timeframes
+      enableTrading: true,  // Enable real trades
+      tradingAmount: 100,   // Position size in USD
+      maxLeverage: 10,      // Maximum leverage
+      riskPercentage: 2,    // 2% risk per trade
+      maxDailyTrades: 5,    // Maximum 5 trades per day
+      stopLoss: 1.0,        // 1% stop loss
+      takeProfit: 2.0,      // 2% take profit
+      dexProvider: 'DRIFT'
+    };
+    
+    const automationResponse = await axios.post(`${BASE_URL}/api/automation/start`, automationConfig);
+    
+    if (automationResponse.data.success) {
+      console.log('✅ Automation started successfully!');
+      console.log(`📊 Mode: ${automationConfig.mode}`);
+      console.log(`💰 Trading: ${automationConfig.enableTrading ? 'ENABLED' : 'SIMULATION ONLY'}`);
+      console.log(`🎯 Symbol: ${automationConfig.symbol}`);
+      console.log(`⏱️ Timeframes: ${automationConfig.selectedTimeframes.join(', ')}`);
+      
+      if (positions.length > 0) {
+        console.log('\n🎯 INTELLIGENT BEHAVIOR:');
+        console.log('   ✅ Will monitor existing position for stop loss proximity');
+        console.log('   ✅ Will switch to DCA/doubling down if price approaches SL');
+        console.log('   ✅ Will scan for new opportunities only after position closes');
+      } else {
+        console.log('\n🎯 SCANNING MODE:');
+        console.log('   ✅ Will scan for new entry opportunities');
+        console.log('   ✅ Will execute trades based on AI analysis');
+      }
+      
+    } else {
+      console.error('❌ Failed to start automation:', automationResponse.data.error);
+    }
+    
+    // 3. Check final status
+    console.log('\n3. Checking automation status...');
+    const statusResponse = await axios.get(`${BASE_URL}/api/automation/status`);
+    console.log(`📊 Status: ${JSON.stringify(statusResponse.data, null, 2)}`);
+    
+  } catch (error) {
+    console.error('❌ Error starting automation:', error.response?.data || error.message);
+  }
+}
+
+// Run the automation starter
+startAutomationSafely()
+  .then(() => {
+    console.log('\n✅ Automation startup completed');
+  })
+  .catch((error) => {
+    console.error('❌ Startup failed:', error);
+  });