@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.
987 lines (869 loc) • 28.1 kB
JavaScript
/**
* 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,
};