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@clduab11/gemini-flow

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Revolutionary AI agent swarm coordination platform with Google Services integration, multimedia processing, and production-ready monitoring. Features 8 Google AI services, quantum computing capabilities, and enterprise-grade security.

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/** * Load Testing Coordinator * * Orchestrates comprehensive load testing scenarios including: * - Concurrent user simulations (1K, 10K, 100K, 1M) * - Sustained load testing (24hr, 7day runs) * - Spike testing (10x sudden load) * - Soak testing (memory leaks, resource exhaustion) */ const { spawn } = require("child_process"); const fs = require("fs").promises; const path = require("path"); class LoadTestingCoordinator { constructor(config = {}) { this.config = { baseUrl: config.baseUrl || "https://api.google.com", apiKey: config.apiKey || process.env.GOOGLE_SERVICES_API_KEY, resultsDir: config.resultsDir || "./results", reportingInterval: config.reportingInterval || 30000, // 30 seconds ...config, }; this.activeTests = new Map(); this.testResults = new Map(); this.performanceMetrics = new Map(); this.alertSystem = new LoadTestAlertSystem(); this.initializeScenarios(); } /** * Initialize all load testing scenarios */ initializeScenarios() { this.scenarios = { // Concurrent User Simulations concurrent_1k: { name: "Concurrent 1K Users", description: "Baseline load test with 1,000 concurrent users", type: "concurrent", users: 1000, rampUpTime: "5m", duration: "15m", services: ["streaming-api", "agentspace", "imagen4", "chirp"], expectedThroughput: 5000, // RPS acceptableCPU: 70, // % acceptableMemory: 80, // % errorRateThreshold: 0.1, // % }, concurrent_10k: { name: "Concurrent 10K Users", description: "High load test with 10,000 concurrent users", type: "concurrent", users: 10000, rampUpTime: "10m", duration: "30m", services: ["streaming-api", "agentspace", "imagen4", "chirp", "lyria"], expectedThroughput: 25000, // RPS acceptableCPU: 85, // % acceptableMemory: 90, // % errorRateThreshold: 0.5, // % }, concurrent_100k: { name: "Concurrent 100K Users", description: "Extreme load test with 100,000 concurrent users", type: "concurrent", users: 100000, rampUpTime: "20m", duration: "45m", services: ["streaming-api", "agentspace"], expectedThroughput: 100000, // RPS acceptableCPU: 95, // % acceptableMemory: 95, // % errorRateThreshold: 2.0, // % }, concurrent_1m: { name: "Concurrent 1M Users", description: "Ultimate stress test with 1,000,000 concurrent users", type: "concurrent", users: 1000000, rampUpTime: "60m", duration: "90m", services: ["streaming-api"], expectedThroughput: 500000, // RPS acceptableCPU: 98, // % acceptableMemory: 98, // % errorRateThreshold: 5.0, // % requiresCluster: true, }, // Sustained Load Testing sustained_24h: { name: "Sustained 24-Hour Test", description: "Continuous load test for 24 hours to detect degradation", type: "sustained", users: 2000, rampUpTime: "30m", duration: "24h", services: ["streaming-api", "agentspace", "imagen4", "co-scientist"], expectedThroughput: 8000, // RPS memoryGrowthThreshold: 5, // % per hour performanceDegradationThreshold: 10, // % gcFrequencyThreshold: 100, // collections per hour }, sustained_7day: { name: "Sustained 7-Day Test", description: "Week-long endurance test for production readiness", type: "sustained", users: 1000, rampUpTime: "1h", duration: "7d", services: ["streaming-api", "agentspace"], expectedThroughput: 4000, // RPS memoryGrowthThreshold: 1, // % per hour performanceDegradationThreshold: 5, // % diskSpaceThreshold: 90, // % }, // Spike Testing spike_10x: { name: "10x Spike Test", description: "Sudden 10x load increase to test elasticity", type: "spike", baseUsers: 1000, spikeUsers: 10000, spikeHoldTime: "5m", spikeDuration: "15m", services: ["streaming-api", "agentspace", "imagen4"], autoScalingTarget: "2m", // Time to scale recoveryTime: "5m", // Time to return to baseline errorRateSpike: 5.0, // % during spike }, spike_100x: { name: "100x Spike Test", description: "Extreme 100x load spike for disaster scenarios", type: "spike", baseUsers: 500, spikeUsers: 50000, spikeHoldTime: "3m", spikeDuration: "10m", services: ["streaming-api"], autoScalingTarget: "3m", recoveryTime: "10m", errorRateSpike: 15.0, // % }, // Soak Testing soak_memory_leak: { name: "Memory Leak Soak Test", description: "Extended test to detect memory leaks and resource exhaustion", type: "soak", users: 500, duration: "72h", services: [ "streaming-api", "agentspace", "imagen4", "co-scientist", "veo3", ], memoryLeakDetection: { enabled: true, samplingInterval: "5m", growthThreshold: 2, // % per hour alertThreshold: 20, // % total growth }, resourceExhaustion: { monitorFileDescriptors: true, monitorConnections: true, monitorThreads: true, }, }, soak_resource_exhaustion: { name: "Resource Exhaustion Soak Test", description: "Test resource cleanup and garbage collection under sustained load", type: "soak", users: 1000, duration: "48h", services: ["streaming-api", "agentspace", "mariner"], resourceMonitoring: { cpuSustainedThreshold: 80, // % memorySustainedThreshold: 85, // % diskIOThreshold: 1000, // MB/s networkIOThreshold: 500, // MB/s }, performanceMetrics: { responseTimeDegradation: 25, // % increase throughputDegradation: 15, // % decrease errorRateIncrease: 2.0, // % }, }, }; } /** * Execute comprehensive load testing suite */ async executeComprehensiveLoadTests(scenarios = []) { const testScenarios = scenarios.length > 0 ? scenarios : Object.keys(this.scenarios); const results = { startTime: new Date().toISOString(), scenarios: [], summary: { total: testScenarios.length, passed: 0, failed: 0, warnings: 0, }, }; console.log( `🚀 Starting comprehensive load testing with ${testScenarios.length} scenarios...`, ); // Ensure results directory exists await this.ensureResultsDirectory(); // Start performance monitoring await this.startPerformanceMonitoring(); try { for (const scenarioName of testScenarios) { const scenario = this.scenarios[scenarioName]; if (!scenario) { console.warn(`⚠️ Scenario ${scenarioName} not found, skipping...`); continue; } console.log(`📊 Executing ${scenario.name}...`); try { const scenarioResult = await this.executeLoadTestScenario( scenarioName, scenario, ); // Analyze results const analysis = await this.analyzeScenarioResults( scenarioName, scenarioResult, ); results.scenarios.push({ name: scenarioName, ...scenarioResult, analysis: analysis, status: analysis.passed ? "PASSED" : "FAILED", }); if (analysis.passed) { results.summary.passed++; } else { results.summary.failed++; } if (analysis.warnings && analysis.warnings.length > 0) { results.summary.warnings++; } // Generate scenario report await this.generateScenarioReport( scenarioName, scenarioResult, analysis, ); } catch (error) { console.error(`❌ Failed to execute ${scenario.name}:`, error); results.scenarios.push({ name: scenarioName, status: "ERROR", error: error.message, timestamp: new Date().toISOString(), }); results.summary.failed++; } // Cooldown period between tests await this.cooldownPeriod(scenario.type); } } finally { // Stop performance monitoring await this.stopPerformanceMonitoring(); } results.endTime = new Date().toISOString(); results.duration = new Date(results.endTime) - new Date(results.startTime); // Generate comprehensive report await this.generateComprehensiveReport(results); return results; } /** * Execute individual load test scenario */ async executeLoadTestScenario(scenarioName, scenario) { const startTime = Date.now(); const testId = `${scenarioName}_${startTime}`; // Register active test this.activeTests.set(testId, { scenario: scenarioName, startTime: startTime, status: "running", }); try { let result; switch (scenario.type) { case "concurrent": result = await this.executeConcurrentTest(testId, scenario); break; case "sustained": result = await this.executeSustainedTest(testId, scenario); break; case "spike": result = await this.executeSpikeTest(testId, scenario); break; case "soak": result = await this.executeSoakTest(testId, scenario); break; default: throw new Error(`Unknown scenario type: ${scenario.type}`); } // Update test status this.activeTests.set(testId, { ...this.activeTests.get(testId), status: "completed", endTime: Date.now(), }); return { testId: testId, scenario: scenario, ...result, duration: Date.now() - startTime, }; } catch (error) { // Update test status this.activeTests.set(testId, { ...this.activeTests.get(testId), status: "failed", error: error.message, endTime: Date.now(), }); throw error; } } /** * Execute concurrent user simulation */ async executeConcurrentTest(testId, scenario) { console.log( ` 👥 Starting concurrent test with ${scenario.users.toLocaleString()} users...`, ); const testConfig = { testId: testId, users: scenario.users, rampUpTime: scenario.rampUpTime, duration: scenario.duration, services: scenario.services, baseUrl: this.config.baseUrl, }; // Choose testing tool based on user count let toolResult; if (scenario.users <= 10000) { toolResult = await this.executeJMeterTest(testConfig); } else { toolResult = await this.executeGatlingTest(testConfig); } // Collect performance metrics during test const performanceData = await this.collectPerformanceMetrics( testId, scenario.duration, ); return { toolUsed: toolResult.tool, executionResults: toolResult.results, performanceMetrics: performanceData, thresholds: { expectedThroughput: scenario.expectedThroughput, acceptableCPU: scenario.acceptableCPU, acceptableMemory: scenario.acceptableMemory, errorRateThreshold: scenario.errorRateThreshold, }, }; } /** * Execute sustained load test */ async executeSustainedTest(testId, scenario) { console.log(` ⏱️ Starting sustained test for ${scenario.duration}...`); const testConfig = { testId: testId, users: scenario.users, rampUpTime: scenario.rampUpTime, duration: scenario.duration, services: scenario.services, monitoring: { memoryGrowthThreshold: scenario.memoryGrowthThreshold, performanceDegradationThreshold: scenario.performanceDegradationThreshold, gcFrequencyThreshold: scenario.gcFrequencyThreshold || null, }, }; // Start long-running test with enhanced monitoring const toolResult = await this.executeSustainedJMeterTest(testConfig); // Enhanced monitoring for sustained tests const sustainedMetrics = await this.collectSustainedMetrics( testId, scenario.duration, ); // Detect performance degradation const degradationAnalysis = await this.analyzePeformanceDegradation( sustainedMetrics, scenario, ); return { toolUsed: "JMeter-Sustained", executionResults: toolResult.results, sustainedMetrics: sustainedMetrics, degradationAnalysis: degradationAnalysis, thresholds: { expectedThroughput: scenario.expectedThroughput, memoryGrowthThreshold: scenario.memoryGrowthThreshold, performanceDegradationThreshold: scenario.performanceDegradationThreshold, }, }; } /** * Execute spike test */ async executeSpikeTest(testId, scenario) { console.log( ` ⚡ Starting spike test: ${scenario.baseUsers}${scenario.spikeUsers} users...`, ); const phases = [ // Baseline phase { name: "baseline", users: scenario.baseUsers, duration: "5m", }, // Spike phase { name: "spike", users: scenario.spikeUsers, rampTime: "30s", duration: scenario.spikeHoldTime, }, // Recovery phase { name: "recovery", users: scenario.baseUsers, rampTime: "2m", duration: scenario.recoveryTime, }, ]; const spikeResults = []; const performanceTimeline = []; for (const phase of phases) { console.log(` Phase: ${phase.name} (${phase.users} users)`); const phaseStart = Date.now(); const phaseResult = await this.executePhaseTest( testId, phase, scenario.services, ); const phaseMetrics = await this.collectPhaseMetrics( testId, phase.name, phase.duration, ); spikeResults.push({ phase: phase.name, ...phaseResult, metrics: phaseMetrics, duration: Date.now() - phaseStart, }); performanceTimeline.push(...phaseMetrics.timeline); } // Analyze spike behavior const spikeAnalysis = await this.analyzeSpikePerformance( spikeResults, scenario, ); return { toolUsed: "JMeter-Spike", phases: spikeResults, performanceTimeline: performanceTimeline, spikeAnalysis: spikeAnalysis, thresholds: { autoScalingTarget: scenario.autoScalingTarget, recoveryTime: scenario.recoveryTime, errorRateSpike: scenario.errorRateSpike, }, }; } /** * Execute soak test for memory leaks and resource exhaustion */ async executeSoakTest(testId, scenario) { console.log(` 🧽 Starting soak test for ${scenario.duration}...`); const testConfig = { testId: testId, users: scenario.users, duration: scenario.duration, services: scenario.services, monitoring: { memoryLeakDetection: scenario.memoryLeakDetection, resourceExhaustion: scenario.resourceExhaustion, samplingInterval: scenario.memoryLeakDetection?.samplingInterval || "5m", }, }; // Start soak test with intensive monitoring const toolResult = await this.executeSoakJMeterTest(testConfig); // Memory leak detection const memoryAnalysis = await this.detectMemoryLeaks(testId, scenario); // Resource exhaustion monitoring const resourceAnalysis = await this.monitorResourceExhaustion( testId, scenario, ); // Long-term performance trends const trendAnalysis = await this.analyzeLongTermTrends( testId, scenario.duration, ); return { toolUsed: "JMeter-Soak", executionResults: toolResult.results, memoryAnalysis: memoryAnalysis, resourceAnalysis: resourceAnalysis, trendAnalysis: trendAnalysis, thresholds: { memoryGrowthThreshold: scenario.memoryLeakDetection?.growthThreshold, performanceDegradation: scenario.performanceMetrics?.responseTimeDegradation, }, }; } /** * Execute JMeter test */ async executeJMeterTest(config) { const jmeterScript = await this.generateJMeterScript(config); const scriptPath = path.join( this.config.resultsDir, `${config.testId}_test.jmx`, ); await fs.writeFile(scriptPath, jmeterScript); return new Promise((resolve, reject) => { const jmeterProcess = spawn("jmeter", [ "-n", // Non-GUI mode "-t", scriptPath, // Test plan "-l", path.join(this.config.resultsDir, `${config.testId}_results.jtl`), "-e", // Generate HTML report "-o", path.join(this.config.resultsDir, `${config.testId}_report`), "-Jbase.url=" + config.baseUrl, "-Jusers=" + config.users, "-Jramp.time=" + config.rampUpTime, "-Jduration=" + config.duration, ]); let stdout = ""; let stderr = ""; jmeterProcess.stdout.on("data", (data) => { stdout += data.toString(); console.log(`JMeter: ${data}`); }); jmeterProcess.stderr.on("data", (data) => { stderr += data.toString(); }); jmeterProcess.on("close", (code) => { if (code === 0) { resolve({ tool: "JMeter", results: { exitCode: code, stdout: stdout, stderr: stderr, reportPath: path.join( this.config.resultsDir, `${config.testId}_report`, ), }, }); } else { reject( new Error(`JMeter process failed with code ${code}: ${stderr}`), ); } }); }); } /** * Execute Gatling test */ async executeGatlingTest(config) { const gatlingScript = await this.generateGatlingScript(config); const scriptPath = path.join( this.config.resultsDir, `${config.testId}_simulation.scala`, ); await fs.writeFile(scriptPath, gatlingScript); return new Promise((resolve, reject) => { const gatlingProcess = spawn("gatling", [ "-s", `${config.testId}_simulation`, "-rf", this.config.resultsDir, "-Dbase.url=" + config.baseUrl, "-Dusers=" + config.users, "-Dramp.time=" + config.rampUpTime, "-Dduration=" + config.duration, ]); let stdout = ""; let stderr = ""; gatlingProcess.stdout.on("data", (data) => { stdout += data.toString(); console.log(`Gatling: ${data}`); }); gatlingProcess.stderr.on("data", (data) => { stderr += data.toString(); }); gatlingProcess.on("close", (code) => { if (code === 0) { resolve({ tool: "Gatling", results: { exitCode: code, stdout: stdout, stderr: stderr, reportPath: path.join(this.config.resultsDir, "gatling_report"), }, }); } else { reject( new Error(`Gatling process failed with code ${code}: ${stderr}`), ); } }); }); } /** * Analyze scenario results against thresholds */ async analyzeScenarioResults(scenarioName, scenarioResult) { const scenario = this.scenarios[scenarioName]; const analysis = { passed: true, warnings: [], failures: [], recommendations: [], }; // Performance threshold analysis if (scenarioResult.performanceMetrics) { const metrics = scenarioResult.performanceMetrics; // Throughput analysis if (metrics.averageThroughput < scenario.expectedThroughput * 0.9) { analysis.failures.push({ metric: "throughput", expected: scenario.expectedThroughput, actual: metrics.averageThroughput, message: "Throughput below 90% of expected value", }); analysis.passed = false; } // Resource utilization analysis if (scenario.acceptableCPU && metrics.maxCPU > scenario.acceptableCPU) { analysis.warnings.push({ metric: "cpu_usage", threshold: scenario.acceptableCPU, actual: metrics.maxCPU, message: "CPU usage exceeded acceptable threshold", }); } // Error rate analysis if (metrics.errorRate > scenario.errorRateThreshold) { analysis.failures.push({ metric: "error_rate", threshold: scenario.errorRateThreshold, actual: metrics.errorRate, message: "Error rate exceeded acceptable threshold", }); analysis.passed = false; } } // Memory leak analysis (for soak tests) if (scenarioResult.memoryAnalysis) { const memAnalysis = scenarioResult.memoryAnalysis; if (memAnalysis.leakDetected) { analysis.failures.push({ metric: "memory_leak", message: `Memory leak detected: ${memAnalysis.growthRate}% per hour`, severity: "critical", }); analysis.passed = false; } } // Generate recommendations analysis.recommendations = await this.generateRecommendations( scenarioName, scenarioResult, ); return analysis; } /** * Generate optimization recommendations based on test results */ async generateRecommendations(scenarioName, scenarioResult) { const recommendations = []; const scenario = this.scenarios[scenarioName]; if (scenarioResult.performanceMetrics) { const metrics = scenarioResult.performanceMetrics; // Throughput recommendations if (metrics.averageThroughput < scenario.expectedThroughput * 0.9) { recommendations.push({ category: "throughput", priority: "high", title: "Implement horizontal scaling", description: "Add additional service instances to improve throughput capacity", expectedImprovement: "50-100% throughput increase", }); } // Response time recommendations if (metrics.averageResponseTime > 1000) { // > 1 second recommendations.push({ category: "latency", priority: "high", title: "Implement caching layer", description: "Deploy Redis/Memcached to reduce response times", expectedImprovement: "60-80% latency reduction", }); } // Memory recommendations if (metrics.maxMemoryUsage > 85) { // > 85% recommendations.push({ category: "memory", priority: "medium", title: "Optimize memory usage", description: "Implement memory pooling and garbage collection tuning", expectedImprovement: "30-50% memory reduction", }); } } return recommendations; } // Helper methods for test execution and monitoring async ensureResultsDirectory() { try { await fs.access(this.config.resultsDir); } catch { await fs.mkdir(this.config.resultsDir, { recursive: true }); } } async startPerformanceMonitoring() { console.log("🔍 Starting performance monitoring..."); // Implementation would start system monitoring } async stopPerformanceMonitoring() { console.log("🛑 Stopping performance monitoring..."); // Implementation would stop system monitoring } async cooldownPeriod(testType) { const cooldownTimes = { concurrent: 30000, // 30 seconds sustained: 300000, // 5 minutes spike: 60000, // 1 minute soak: 600000, // 10 minutes }; const cooldownTime = cooldownTimes[testType] || 30000; console.log(`😴 Cooldown period: ${cooldownTime / 1000} seconds...`); await new Promise((resolve) => setTimeout(resolve, cooldownTime)); } async generateComprehensiveReport(results) { const report = { ...results, generatedAt: new Date().toISOString(), configuration: this.config, recommendations: await this.generateGlobalRecommendations(results), }; const reportPath = path.join( this.config.resultsDir, "comprehensive_load_test_report.json", ); await fs.writeFile(reportPath, JSON.stringify(report, null, 2)); console.log(`📊 Comprehensive report generated: ${reportPath}`); } async generateGlobalRecommendations(results) { // Generate overall recommendations based on all test results return [ { category: "infrastructure", priority: "high", title: "Implement auto-scaling", description: "Deploy Kubernetes HPA for automatic scaling based on load", }, { category: "monitoring", priority: "medium", title: "Enhanced monitoring", description: "Deploy Prometheus + Grafana for real-time performance monitoring", }, ]; } // Simulation methods for metrics collection async collectPerformanceMetrics(testId, duration) { // Simulate performance metrics collection return { averageThroughput: Math.floor(Math.random() * 10000) + 5000, maxThroughput: Math.floor(Math.random() * 15000) + 10000, averageResponseTime: Math.floor(Math.random() * 200) + 100, maxResponseTime: Math.floor(Math.random() * 1000) + 500, errorRate: Math.random() * 2, maxCPU: Math.floor(Math.random() * 30) + 60, maxMemoryUsage: Math.floor(Math.random() * 20) + 70, }; } async detectMemoryLeaks(testId, scenario) { // Simulate memory leak detection const leakDetected = Math.random() < 0.1; // 10% chance return { leakDetected: leakDetected, growthRate: leakDetected ? Math.random() * 5 + 2 : Math.random() * 1, totalGrowth: leakDetected ? Math.random() * 50 + 20 : Math.random() * 10, }; } async generateJMeterScript(config) { // Return basic JMeter script template return `<?xml version="1.0" encoding="UTF-8"?> <jmeterTestPlan version="1.2" properties="5.0" jmeter="5.6.2"> <hashTree> <TestPlan guiclass="TestPlanGui" testclass="TestPlan" testname="Load Test ${config.testId}"> <!-- Test implementation would go here --> </TestPlan> </hashTree> </jmeterTestPlan>`; } async generateGatlingScript(config) { // Return basic Gatling script template return ` package loadtest import io.gatling.core.Predef._ import io.gatling.http.Predef._ import scala.concurrent.duration._ class ${config.testId}_simulation extends Simulation { val httpProtocol = http.baseUrl("${config.baseUrl}") val scn = scenario("Load Test") .exec(http("request").get("/")) setUp( scn.inject(rampUsers(${config.users}).during(${config.rampUpTime})) ).protocols(httpProtocol) }`; } } /** * Load Test Alert System */ class LoadTestAlertSystem { constructor() { this.alerts = []; this.thresholds = new Map(); } triggerAlert(type, message, severity = "medium") { const alert = { type: type, message: message, severity: severity, timestamp: new Date().toISOString(), }; this.alerts.push(alert); console.warn(`🚨 Load Test Alert [${severity.toUpperCase()}]: ${message}`); } getAlerts() { return this.alerts; } } module.exports = { LoadTestingCoordinator, LoadTestAlertSystem, };