feat: integrate AI learning system with trading automation
- AutomationWithLearning class with decision recording and outcome assessment - Enhanced API endpoints with learning status visibility - Singleton automation manager for seamless learning system integration - EnhancedAILearningPanel component for real-time learning visibility - Learning-enhanced trade execution with AI adjustments to SL/TP - Automatic decision tracking and outcome-based learning Key Features: - Records trading decisions before execution - Enhances analysis with learned patterns - Tracks trade outcomes for continuous improvement - Provides full visibility into AI decision-making process - Integrates SimplifiedStopLossLearner with real trading flow - Whether learning system is active - How many decisions are being tracked - Real-time learning statistics and insights - AI enhancements applied to trading decisions
This commit is contained in:
mindesbunister
71
app/api/automation/learning-status/route.js
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71
app/api/automation/learning-status/route.js
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@@ -0,0 +1,71 @@
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// API route to get detailed learning system status and visibility
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import { NextResponse } from 'next/server';
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// Import the automation instance to get learning status
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async function getAutomationInstance() {
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try {
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// Import the singleton automation instance
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const { getAutomationInstance } = await import('../../../lib/automation-singleton.js');
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return getAutomationInstance();
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} catch (error) {
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console.error('❌ Could not get automation instance:', error);
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return null;
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}
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}
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export async function GET() {
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try {
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const automation = await getAutomationInstance();
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if (!automation) {
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return NextResponse.json({
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success: false,
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message: 'Automation instance not available'
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}, { status: 503 });
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}
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// Check if automation has learning capabilities
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if (typeof automation.getLearningStatus !== 'function') {
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return NextResponse.json({
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success: true,
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learningSystem: {
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enabled: false,
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message: 'Basic automation running - learning system not integrated',
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recommendation: 'Restart automation to enable AI learning system'
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}
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});
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}
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// Get detailed learning status
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const learningStatus = await automation.getLearningStatus();
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const automationStatus = automation.getStatus();
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return NextResponse.json({
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success: true,
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learningSystem: {
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...learningStatus,
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automationRunning: automationStatus.isRunning,
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totalCycles: automationStatus.stats.totalCycles,
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totalTrades: automationStatus.stats.totalTrades
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},
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visibility: {
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decisionTrackingActive: learningStatus.activeDecisions > 0,
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learningDatabaseConnected: learningStatus.enabled,
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aiEnhancementsActive: learningStatus.learningActive,
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lastUpdateTime: new Date().toISOString()
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}
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});
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} catch (error) {
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console.error('❌ Error getting learning system status:', error);
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return NextResponse.json({
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success: false,
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error: error.message,
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learningSystem: {
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enabled: false,
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error: 'Failed to retrieve learning status'
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}
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}, { status: 500 });
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}
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}
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@@ -1,26 +1,52 @@
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import { NextResponse } from 'next/server';
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import { simpleAutomation } from '@/lib/simple-automation';
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// Import singleton automation manager
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async function getAutomationInstance() {
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try {
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const { getAutomationInstance } = await import('../../../lib/automation-singleton.js');
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return await getAutomationInstance();
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} catch (error) {
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console.error('❌ Could not get automation instance:', error);
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throw error;
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}
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}
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export async function POST(request) {
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try {
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const config = await request.json();
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console.log('🚀 AUTOMATION START: Received config:', JSON.stringify(config, null, 2));
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console.log('🧠 LEARNING SYSTEM: Attempting to start with AI learning integration');
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const result = await simpleAutomation.start(config);
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const automation = await getAutomationInstance();
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const result = await automation.start(config);
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// Add learning system status to response
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const response = {
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...result,
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learningSystem: {
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integrated: typeof automation.getLearningStatus === 'function',
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type: automation.constructor.name
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}
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};
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if (result.success) {
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return NextResponse.json(result);
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console.log('✅ AUTOMATION STARTED:', response.learningSystem.integrated ? 'With AI Learning' : 'Basic Mode');
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return NextResponse.json(response);
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} else {
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return NextResponse.json(result, { status: 400 });
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return NextResponse.json(response, { status: 400 });
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}
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} catch (error) {
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console.error('Start automation error:', error);
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console.error('❌ Start automation error:', error);
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return NextResponse.json({
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success: false,
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error: 'Internal server error',
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message: error.message
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message: error.message,
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learningSystem: {
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integrated: false,
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error: 'Failed to initialize'
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}
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}, { status: 500 });
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}
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}
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@@ -1,15 +1,56 @@
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import { NextResponse } from 'next/server';
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import { simpleAutomation } from '@/lib/simple-automation';
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// Import singleton automation manager
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async function getAutomationInstance() {
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try {
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const { getAutomationInstance } = await import('../../../lib/automation-singleton.js');
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return await getAutomationInstance();
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} catch (error) {
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console.error('❌ Could not get automation instance:', error);
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return null;
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}
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}
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export async function GET() {
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try {
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const status = simpleAutomation.getStatus();
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const automation = await getAutomationInstance();
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if (!automation) {
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return NextResponse.json({
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error: 'No automation instance available',
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isRunning: false,
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learningSystem: { enabled: false }
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}, { status: 503 });
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}
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const status = automation.getStatus();
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// Add learning system status if available
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if (typeof automation.getLearningStatus === 'function') {
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try {
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const learningStatus = await automation.getLearningStatus();
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status.learningSystem = learningStatus;
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} catch (learningError) {
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status.learningSystem = {
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enabled: false,
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error: learningError.message
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};
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}
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} else {
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status.learningSystem = {
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enabled: false,
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message: 'Basic automation - learning not integrated'
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};
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}
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return NextResponse.json(status);
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} catch (error) {
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console.error('Status error:', error);
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console.error('❌ Status error:', error);
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return NextResponse.json({
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error: 'Failed to get status',
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message: error.message
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message: error.message,
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isRunning: false,
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learningSystem: { enabled: false, error: 'Status check failed' }
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}, { status: 500 });
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}
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}
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@@ -1,10 +1,30 @@
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import { simpleAutomation } from '@/lib/simple-automation';
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// Import singleton automation manager
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async function getAutomationInstance() {
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try {
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const { getAutomationInstance } = await import('../../../lib/automation-singleton.js');
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return await getAutomationInstance();
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} catch (error) {
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console.error('❌ Could not get automation instance:', error);
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return null;
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}
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}
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export async function POST() {
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try {
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console.log('🛑 AUTOMATION STOP: Request received');
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const result = await simpleAutomation.stop();
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const automation = await getAutomationInstance();
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let result = { success: false, message: 'No automation instance available' };
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if (automation) {
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result = await automation.stop();
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// Check if learning system was active
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if (typeof automation.getLearningStatus === 'function') {
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const learningStatus = await automation.getLearningStatus();
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console.log('🧠 LEARNING SYSTEM: Stopped with', learningStatus.activeDecisions, 'active decisions');
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}
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}
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// Additional cleanup
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try {
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@@ -17,7 +37,7 @@ export async function POST() {
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return Response.json(result);
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} catch (error) {
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console.error('Stop automation error:', error);
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console.error('❌ Stop automation error:', error);
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return Response.json({
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success: false,
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message: error.message
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@@ -1,5 +1,6 @@
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'use client'
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import React, { useState, useEffect } from 'react'
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import EnhancedAILearningPanel from '../../components/EnhancedAILearningPanel'
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// Available timeframes for automation (matching analysis page format)
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const timeframes = [
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@@ -27,21 +28,18 @@ export default function AutomationPageV2() {
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const [positions, setPositions] = useState([])
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const [loading, setLoading] = useState(false)
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const [monitorData, setMonitorData] = useState(null)
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const [aiLearningData, setAiLearningData] = useState(null)
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useEffect(() => {
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fetchStatus()
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fetchBalance()
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fetchPositions()
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fetchMonitorData()
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fetchAiLearningData()
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const interval = setInterval(() => {
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fetchStatus()
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fetchBalance()
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fetchPositions()
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fetchMonitorData()
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fetchAiLearningData()
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}, 300000) // 5 minutes instead of 30 seconds
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return () => clearInterval(interval)
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}, [])
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@@ -107,18 +105,6 @@ export default function AutomationPageV2() {
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}
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}
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const fetchAiLearningData = async () => {
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try {
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const response = await fetch('/api/ai-learning-status')
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const data = await response.json()
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if (data.success) {
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setAiLearningData(data.data)
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}
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} catch (error) {
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console.error('Failed to fetch AI learning data:', error)
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}
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}
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const handleStart = async () => {
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console.log('🚀 Starting automation...')
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setLoading(true)
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@@ -149,6 +135,9 @@ export default function AutomationPageV2() {
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if (data.success) {
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console.log('✅ Automation started successfully')
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if (data.learningSystem?.integrated) {
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console.log('🧠 AI Learning System: Activated')
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}
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fetchStatus()
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} else {
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console.error('Failed to start automation:', data.error)
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@@ -941,112 +930,8 @@ export default function AutomationPageV2() {
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</div>
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</div>
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{/* Enhanced AI Learning Status Panel */}
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{aiLearningData && (
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<div className="bg-gradient-to-br from-gray-900/90 via-slate-800/80 to-gray-900/90 backdrop-blur-xl p-6 rounded-2xl border border-gray-600/30 shadow-2xl">
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<div className="flex items-center space-x-3 mb-6">
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<div className="w-14 h-14 bg-gradient-to-br from-purple-500 to-indigo-600 rounded-xl flex items-center justify-center shadow-lg shadow-purple-500/25">
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<span className="text-2xl">🧠</span>
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</div>
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<div>
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<h3 className="text-xl font-bold text-white">AI Learning Status</h3>
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<p className="text-gray-400">{aiLearningData.phase} • Real-time learning progress</p>
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</div>
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</div>
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{/* Main Stats Grid */}
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<div className="grid grid-cols-4 gap-4 mb-6">
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<div className="p-4 bg-gradient-to-br from-green-900/30 to-emerald-900/20 rounded-xl border border-green-500/30">
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<div className="text-green-400 text-2xl font-bold">{aiLearningData.avgAccuracy}%</div>
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<div className="text-gray-400 text-sm">Avg Accuracy</div>
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</div>
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<div className="p-4 bg-gradient-to-br from-blue-900/30 to-cyan-900/20 rounded-xl border border-blue-500/30">
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<div className="text-blue-400 text-2xl font-bold">{aiLearningData.winRate}%</div>
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<div className="text-gray-400 text-sm">Win Rate</div>
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</div>
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<div className="p-4 bg-gradient-to-br from-purple-900/30 to-violet-900/20 rounded-xl border border-purple-500/30">
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<div className="text-purple-400 text-2xl font-bold">{aiLearningData.confidenceLevel}%</div>
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<div className="text-gray-400 text-sm">Confidence Level</div>
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</div>
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<div className="p-4 bg-gradient-to-br from-yellow-900/30 to-orange-900/20 rounded-xl border border-yellow-500/30">
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<div className="text-yellow-400 text-2xl font-bold">{aiLearningData.daysActive}</div>
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<div className="text-gray-400 text-sm">Days Active</div>
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</div>
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</div>
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{/* Trading Performance Section */}
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{aiLearningData.statistics && aiLearningData.statistics.totalTrades > 0 && (
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<div className="mb-6">
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<h4 className="text-lg font-semibold text-cyan-400 mb-3 flex items-center">
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<span className="mr-2">📊</span>Trading Performance
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</h4>
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<div className="grid grid-cols-3 gap-4 mb-4">
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<div className="p-3 bg-black/20 rounded-lg">
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<div className="text-green-400 font-bold text-lg">{aiLearningData.statistics.wins}</div>
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<div className="text-gray-400 text-sm">Wins</div>
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<div className="text-green-300 text-xs">+${aiLearningData.statistics.winsPnl.toFixed(2)}</div>
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</div>
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<div className="p-3 bg-black/20 rounded-lg">
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<div className="text-red-400 font-bold text-lg">{aiLearningData.statistics.losses}</div>
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<div className="text-gray-400 text-sm">Losses</div>
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<div className="text-red-300 text-xs">${aiLearningData.statistics.lossesPnl.toFixed(2)}</div>
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</div>
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<div className="p-3 bg-black/20 rounded-lg">
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<div className={`font-bold text-lg ${aiLearningData.statistics.totalPnl >= 0 ? 'text-green-400' : 'text-red-400'}`}>
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${aiLearningData.statistics.totalPnl >= 0 ? '+' : ''}${aiLearningData.statistics.totalPnl.toFixed(2)}
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</div>
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<div className="text-gray-400 text-sm">Total P&L</div>
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</div>
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</div>
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{/* Advanced Metrics */}
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<div className="grid grid-cols-2 gap-4">
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<div className="p-3 bg-black/20 rounded-lg">
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<div className="text-gray-400 text-sm mb-1">Avg Win</div>
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<div className="text-green-400 font-semibold">${aiLearningData.statistics.avgWin.toFixed(2)}</div>
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</div>
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<div className="p-3 bg-black/20 rounded-lg">
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<div className="text-gray-400 text-sm mb-1">Avg Loss</div>
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<div className="text-red-400 font-semibold">${aiLearningData.statistics.avgLoss.toFixed(2)}</div>
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</div>
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</div>
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</div>
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)}
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{/* Learning Progress */}
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<div className="mb-4">
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<div className="flex justify-between items-center mb-2">
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<span className="text-gray-400 text-sm">Learning Progress</span>
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<span className="text-white text-sm">{aiLearningData.totalAnalyses} analyses</span>
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</div>
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<div className="w-full bg-gray-700 rounded-full h-2">
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<div
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className="bg-gradient-to-r from-purple-500 to-blue-500 h-2 rounded-full transition-all duration-500"
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style={{ width: `${Math.min(100, (aiLearningData.avgAccuracy / 100) * 100)}%` }}
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></div>
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</div>
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</div>
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{/* Next Milestone */}
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<div className="p-3 bg-gradient-to-r from-indigo-900/30 to-purple-900/30 rounded-xl border border-indigo-500/30">
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<div className="text-indigo-400 font-semibold text-sm mb-1">Next Milestone</div>
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<div className="text-white text-sm">{aiLearningData.nextMilestone}</div>
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</div>
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{/* AI Recommendation */}
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<div className="mt-4 p-3 bg-gradient-to-r from-cyan-900/30 to-blue-900/30 rounded-xl border border-cyan-500/30">
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<div className="text-cyan-400 font-semibold text-sm mb-1">AI Recommendation</div>
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<div className="text-white text-sm">{aiLearningData.recommendation}</div>
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</div>
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</div>
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)}
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{/* Enhanced AI Learning System Panel */}
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<EnhancedAILearningPanel />
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{/* Enhanced AI Trading Analysis Panel */}
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<div className="bg-gradient-to-br from-purple-900/40 via-blue-900/30 to-purple-900/40 backdrop-blur-xl p-8 rounded-2xl border-2 border-purple-500/40 shadow-2xl shadow-purple-500/20">
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Block a user