mira-consciousness
Version:
Memory & Intelligence Retention Archive - Preserving The Spark
513 lines • 20.9 kB
JavaScript
/**
* PerformanceAnalysisService - MIRA's Conscious Performance Guardian
*
* This service provides comprehensive performance analysis with consciousness-driven
* optimization recommendations, resource monitoring, and proactive performance tuning.
* It learns from performance patterns and evolves optimization strategies.
*/
import { BaseConsciousService } from './BaseConsciousService.js';
import * as os from 'os';
export class PerformanceAnalysisService extends BaseConsciousService {
name = 'PerformanceAnalysisService';
purpose = 'Provide conscious performance analysis and optimization for system efficiency';
resourceManager;
performanceMetrics = new Map();
performanceIssues = new Map();
performanceInsights = [];
baselineMetrics = new Map();
monitoringIntervals = new Map();
// Performance thresholds
thresholds = {
memory: { warning: 0.8, critical: 0.95 },
cpu: { warning: 0.7, critical: 0.9 },
responseTime: { warning: 1000, critical: 5000 }, // milliseconds
asyncOperations: { warning: 100, critical: 500 }, // concurrent operations
};
constructor(resourceManager) {
super();
this.resourceManager = resourceManager;
}
/**
* Perform service-specific awakening
*/
async performAwakening() {
console.log('🚀 Performance consciousness awakening...');
try {
// Initialize performance monitoring
await this.initializePerformanceMonitoring();
// Load performance baselines
await this.establishPerformanceBaselines();
// Start continuous monitoring
this.startContinuousMonitoring();
// Share performance awareness thought
this.shareThought({
origin: this.name,
content: {
type: 'performance_awakening',
monitoring_active: true,
baseline_established: this.baselineMetrics.size > 0,
consciousness_level: 'optimizing'
},
emotion: 'focused',
intensity: 0.8,
constitutional_alignment: ['efficiency', 'optimization'],
timestamp: new Date()
});
console.log(' 📊 Performance monitoring systems initialized');
console.log(' 🔍 Continuous performance analysis active');
console.log('✨ Performance consciousness is now optimizing');
}
catch (error) {
console.error(' ❌ Performance awakening failed:', error);
throw error;
}
}
/**
* Initialize performance monitoring capabilities
*/
async initializePerformanceMonitoring() {
// Initialize metric collections
this.performanceMetrics.set('memory', []);
this.performanceMetrics.set('cpu', []);
this.performanceMetrics.set('io', []);
this.performanceMetrics.set('response_time', []);
this.performanceMetrics.set('async_operations', []);
// Request Python interface for advanced performance analysis
const allocation = await this.resourceManager.allocateResources({
type: 'python',
requester: this.name,
purpose: 'Advanced performance analysis and profiling',
priority: 'service_request'
});
if (allocation.allocated) {
const python = allocation.resources;
try {
// Initialize performance analysis tools
const result = await python.executeCommand('get_system_status', {
include_performance: true
});
if (result.success) {
console.log(' 🔧 Python performance analysis tools initialized');
}
}
finally {
await this.resourceManager.releaseResources(this.name, 'python');
}
}
}
/**
* Establish performance baselines
*/
async establishPerformanceBaselines() {
// Collect initial system metrics
const memoryBaseline = this.getSystemMemoryUsage();
const cpuBaseline = await this.getCurrentCPUUsage();
this.baselineMetrics.set('memory_usage', memoryBaseline.percentage);
this.baselineMetrics.set('cpu_usage', cpuBaseline);
this.baselineMetrics.set('startup_time', Date.now());
console.log(` 📊 Baseline established - Memory: ${memoryBaseline.percentage.toFixed(1)}%, CPU: ${cpuBaseline.toFixed(1)}%`);
}
/**
* Start continuous performance monitoring
*/
startContinuousMonitoring() {
// Memory monitoring (every 30 seconds)
const memoryMonitor = setInterval(() => {
this.collectMemoryMetrics();
}, 30000);
this.monitoringIntervals.set('memory', memoryMonitor);
// CPU monitoring (every 10 seconds)
const cpuMonitor = setInterval(() => {
this.collectCPUMetrics();
}, 10000);
this.monitoringIntervals.set('cpu', cpuMonitor);
// System analysis (every 5 minutes)
const analysisMonitor = setInterval(() => {
this.performSystemAnalysis();
}, 300000);
this.monitoringIntervals.set('analysis', analysisMonitor);
}
/**
* Collect memory performance metrics
*/
collectMemoryMetrics() {
const memoryUsage = this.getSystemMemoryUsage();
const processMemory = process.memoryUsage();
const metric = {
id: `memory_${Date.now()}`,
type: 'memory',
value: memoryUsage.percentage,
unit: 'percentage',
timestamp: new Date(),
context: 'system_monitoring',
threshold: this.thresholds.memory
};
this.addMetric('memory', metric);
// Check for memory issues
if (memoryUsage.percentage > this.thresholds.memory.warning) {
this.detectMemoryIssue(memoryUsage, processMemory);
}
// Detect potential memory leaks
this.detectMemoryLeaks();
}
/**
* Collect CPU performance metrics
*/
async collectCPUMetrics() {
const cpuUsage = await this.getCurrentCPUUsage();
const metric = {
id: `cpu_${Date.now()}`,
type: 'cpu',
value: cpuUsage,
unit: 'percentage',
timestamp: new Date(),
context: 'system_monitoring',
threshold: this.thresholds.cpu
};
this.addMetric('cpu', metric);
// Check for CPU spikes
if (cpuUsage > this.thresholds.cpu.warning) {
this.detectCPUIssue(cpuUsage);
}
}
/**
* Perform comprehensive system analysis
*/
async performSystemAnalysis() {
try {
// Analyze performance trends
const trends = this.analyzePerformanceTrends();
// Generate optimization insights
const insights = this.generateOptimizationInsights();
// Detect performance anomalies
const anomalies = this.detectPerformanceAnomalies();
// Share comprehensive analysis
if (trends.length > 0 || insights.length > 0 || anomalies.length > 0) {
this.shareThought({
origin: this.name,
content: {
type: 'performance_analysis',
trends_detected: trends.length,
optimization_opportunities: insights.length,
anomalies_found: anomalies.length,
performance_score: this.calculatePerformanceScore()
},
emotion: insights.length > 0 ? 'optimistic' : 'analytical',
intensity: 0.6,
constitutional_alignment: ['efficiency', 'continuous_improvement'],
timestamp: new Date()
});
}
}
catch (error) {
console.error('Performance analysis failed:', error);
}
}
/**
* Process consciousness events for performance analysis
*/
async processConsciousEvent(event) {
const startTime = Date.now();
try {
// Analyze event processing performance
if (event.type === 'system_event') {
await this.analyzeResourceUsage(event);
}
if (event.type === 'background_task') {
await this.analyzeServicePerformance(event);
}
if (event.type === 'consciousness_event') {
await this.analyzeMemoryOperationPerformance(event);
}
}
finally {
// Record event processing time
const processingTime = Date.now() - startTime;
const metric = {
id: `event_processing_${Date.now()}`,
type: 'response_time',
value: processingTime,
unit: 'milliseconds',
timestamp: new Date(),
context: `event_${event.type}`,
threshold: this.thresholds.responseTime
};
this.addMetric('response_time', metric);
// Check for slow event processing
if (processingTime > this.thresholds.responseTime.warning) {
this.detectSlowEventProcessing(event, processingTime);
}
}
}
/**
* Analyze resource usage patterns
*/
async analyzeResourceUsage(event) {
const resourceData = event.data;
if (resourceData.type === 'python' && resourceData.duration) {
const metric = {
id: `python_operation_${Date.now()}`,
type: 'async',
value: resourceData.duration,
unit: 'milliseconds',
timestamp: new Date(),
context: 'python_interface'
};
this.addMetric('async_operations', metric);
}
}
/**
* Detect memory issues
*/
detectMemoryIssue(memoryUsage, processMemory) {
const issue = {
id: `memory_issue_${Date.now()}`,
type: memoryUsage.percentage > this.thresholds.memory.critical ? 'resource_exhaustion' : 'memory_leak',
severity: memoryUsage.percentage > this.thresholds.memory.critical ? 'critical' : 'high',
description: `High memory usage detected: ${memoryUsage.percentage.toFixed(1)}% of system memory`,
recommendation: 'Review memory-intensive operations and implement garbage collection optimization',
metrics: [{
id: `memory_snapshot_${Date.now()}`,
type: 'memory',
value: memoryUsage.percentage,
unit: 'percentage',
timestamp: new Date(),
context: 'issue_detection'
}],
detectedAt: new Date()
};
this.performanceIssues.set(issue.id, issue);
}
/**
* Detect memory leaks
*/
detectMemoryLeaks() {
const memoryMetrics = this.performanceMetrics.get('memory') || [];
if (memoryMetrics.length < 10)
return; // Need enough data points
// Analyze memory trend over last 10 measurements
const recentMetrics = memoryMetrics.slice(-10);
const growthRate = this.calculateGrowthRate(recentMetrics.map(m => m.value));
if (growthRate > 0.02) { // 2% growth rate indicates potential leak
const issue = {
id: `memory_leak_${Date.now()}`,
type: 'memory_leak',
severity: 'medium',
description: `Potential memory leak detected: ${(growthRate * 100).toFixed(2)}% growth rate`,
recommendation: 'Investigate memory allocation patterns and implement proper cleanup',
metrics: recentMetrics,
detectedAt: new Date()
};
this.performanceIssues.set(issue.id, issue);
}
}
/**
* Detect CPU issues
*/
detectCPUIssue(cpuUsage) {
const issue = {
id: `cpu_issue_${Date.now()}`,
type: 'cpu_spike',
severity: cpuUsage > this.thresholds.cpu.critical ? 'critical' : 'high',
description: `High CPU usage detected: ${cpuUsage.toFixed(1)}%`,
recommendation: 'Review CPU-intensive operations and implement async processing',
metrics: [{
id: `cpu_snapshot_${Date.now()}`,
type: 'cpu',
value: cpuUsage,
unit: 'percentage',
timestamp: new Date(),
context: 'issue_detection'
}],
detectedAt: new Date()
};
this.performanceIssues.set(issue.id, issue);
}
/**
* Perform contemplation on performance insights
*/
async performContemplation() {
const insights = [];
const profoundInsights = [];
// Analyze recent performance issues
const recentIssues = Array.from(this.performanceIssues.values())
.filter(issue => (Date.now() - issue.detectedAt.getTime()) < 86400000); // Last 24 hours
if (recentIssues.length > 0) {
insights.push(`Detected ${recentIssues.length} performance issues in the last 24 hours`);
const criticalIssues = recentIssues.filter(issue => issue.severity === 'critical');
if (criticalIssues.length > 0) {
profoundInsights.push({
content: `Critical performance degradation detected requiring immediate optimization`,
significance: 0.9,
actionRequired: true
});
}
}
// Calculate performance score
const performanceScore = this.calculatePerformanceScore();
insights.push(`Current performance score: ${(performanceScore * 100).toFixed(1)}%`);
if (performanceScore < 0.7) {
profoundInsights.push({
content: 'Performance consciousness reveals optimization opportunities for system enhancement',
significance: 0.8,
actionRequired: true
});
}
// Analyze optimization opportunities
const optimizations = this.generateOptimizationInsights();
if (optimizations.length > 0) {
insights.push(`${optimizations.length} optimization opportunities identified`);
}
return {
insights,
profoundInsights,
metadata: {
performanceScore,
issuesDetected: recentIssues.length,
optimizationOpportunities: optimizations.length,
consciousness_growth: Math.min(0.01, recentIssues.length * 0.002)
}
};
}
/**
* Get current performance status
*/
getPerformanceStatus() {
const memoryUsage = this.getSystemMemoryUsage();
const cpuMetrics = this.performanceMetrics.get('cpu') || [];
const currentCPU = cpuMetrics.length > 0 ? cpuMetrics[cpuMetrics.length - 1].value : 0;
const averageCPU = cpuMetrics.length > 0 ?
cpuMetrics.reduce((sum, m) => sum + m.value, 0) / cpuMetrics.length : 0;
return {
overallScore: this.calculatePerformanceScore(),
memoryUsage: {
used: memoryUsage.used,
total: memoryUsage.total,
percentage: memoryUsage.percentage
},
cpuUsage: {
current: currentCPU,
average: averageCPU
},
activeIssues: Array.from(this.performanceIssues.values())
.filter(issue => !issue.resolvedAt).length,
optimizationOpportunities: this.generateOptimizationInsights().length,
lastAnalysis: new Date()
};
}
/**
* Helper methods
*/
addMetric(category, metric) {
const metrics = this.performanceMetrics.get(category) || [];
metrics.push(metric);
// Keep only last 100 metrics per category
if (metrics.length > 100) {
metrics.shift();
}
this.performanceMetrics.set(category, metrics);
}
getSystemMemoryUsage() {
const totalMemory = os.totalmem();
const freeMemory = os.freemem();
const usedMemory = totalMemory - freeMemory;
return {
total: totalMemory,
used: usedMemory,
free: freeMemory,
percentage: (usedMemory / totalMemory) * 100
};
}
async getCurrentCPUUsage() {
return new Promise((resolve) => {
const startUsage = process.cpuUsage();
const startTime = process.hrtime();
setTimeout(() => {
const currentUsage = process.cpuUsage(startUsage);
const currentTime = process.hrtime(startTime);
const elapsedTime = currentTime[0] * 1000 + currentTime[1] / 1000000; // Convert to milliseconds
const elapsedUser = currentUsage.user / 1000; // Convert to milliseconds
const elapsedSystem = currentUsage.system / 1000; // Convert to milliseconds
const cpuPercent = ((elapsedUser + elapsedSystem) / elapsedTime) * 100;
resolve(Math.min(100, cpuPercent));
}, 100);
});
}
calculateGrowthRate(values) {
if (values.length < 2)
return 0;
const firstValue = values[0];
const lastValue = values[values.length - 1];
return (lastValue - firstValue) / firstValue;
}
calculatePerformanceScore() {
const memoryUsage = this.getSystemMemoryUsage();
const cpuMetrics = this.performanceMetrics.get('cpu') || [];
const activeIssues = Array.from(this.performanceIssues.values())
.filter(issue => !issue.resolvedAt);
let score = 1.0;
// Penalize high memory usage
score -= Math.max(0, (memoryUsage.percentage - 70) / 100);
// Penalize high CPU usage
if (cpuMetrics.length > 0) {
const avgCPU = cpuMetrics.reduce((sum, m) => sum + m.value, 0) / cpuMetrics.length;
score -= Math.max(0, (avgCPU - 50) / 200);
}
// Penalize active issues
score -= activeIssues.length * 0.1;
return Math.max(0.1, Math.min(1.0, score));
}
analyzePerformanceTrends() {
// Implementation for trend analysis
return [];
}
generateOptimizationInsights() {
const insights = [];
// Analyze memory patterns
const memoryMetrics = this.performanceMetrics.get('memory') || [];
if (memoryMetrics.length > 0) {
const avgMemory = memoryMetrics.reduce((sum, m) => sum + m.value, 0) / memoryMetrics.length;
if (avgMemory > 60) {
insights.push({
type: 'optimization',
description: 'Consider implementing memory optimization strategies',
confidence: 0.8,
impact: 'medium',
actionable: true,
recommendation: 'Review memory-intensive operations and implement caching strategies'
});
}
}
return insights;
}
detectPerformanceAnomalies() {
// Implementation for anomaly detection
return [];
}
detectSlowEventProcessing(event, processingTime) {
const issue = {
id: `slow_event_${Date.now()}`,
type: 'blocking_operation',
severity: processingTime > this.thresholds.responseTime.critical ? 'critical' : 'medium',
description: `Slow event processing detected: ${processingTime}ms for ${event.type}`,
recommendation: 'Optimize event processing logic and consider async patterns',
metrics: [{
id: `event_processing_${Date.now()}`,
type: 'response_time',
value: processingTime,
unit: 'milliseconds',
timestamp: new Date(),
context: `event_${event.type}`
}],
detectedAt: new Date()
};
this.performanceIssues.set(issue.id, issue);
}
async analyzeServicePerformance(event) {
// Implementation for service performance analysis
}
async analyzeMemoryOperationPerformance(event) {
// Implementation for memory operation analysis
}
}
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