claude-flow-multilang
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Revolutionary multilingual AI orchestration framework with cultural awareness and DDD architecture
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JavaScript
/**
* Performance Test Suite for Hive Mind Optimizations
* Tests the performance improvements implemented
*/
import { HiveMindCore } from './core.js';
import { PerformanceOptimizer } from './performance-optimizer.js';
import { performance } from 'perf_hooks';
/**
* Performance test runner
*/
export class PerformanceTest {
constructor() {
this.results = [];
this.baseline = null;
}
/**
* Run complete performance test suite
*/
async runTestSuite() {
console.log('š¬ Starting Hive Mind Performance Test Suite...\n');
const tests = [
this.testBatchAgentSpawning,
this.testAsyncOperationQueue,
this.testMemoryOperations,
this.testConcurrentTaskExecution,
this.testPerformanceOptimizer,
];
for (const test of tests) {
try {
await test.call(this);
} catch (error) {
console.error(`Test failed: ${test.name}`, error);
}
}
this.generateReport();
}
/**
* Test batch agent spawning performance
*/
async testBatchAgentSpawning() {
console.log('š Testing Batch Agent Spawning...');
const hiveMind = new HiveMindCore({
name: 'test-batch-spawn',
maxWorkers: 10,
});
await hiveMind.initialize();
// Test batch spawning vs sequential spawning
const agentTypes = ['coder', 'tester', 'analyst', 'researcher', 'architect', 'optimizer'];
// Batch spawning test
const batchStart = performance.now();
const batchResults = await hiveMind.spawnWorkers(agentTypes);
const batchTime = performance.now() - batchStart;
// Simulate sequential spawning for comparison
const sequentialStart = performance.now();
for (let i = 0; i < agentTypes.length; i++) {
// Simulate individual spawning time
await new Promise((resolve) => setTimeout(resolve, 200));
}
const sequentialTime = performance.now() - sequentialStart;
const improvement = (((sequentialTime - batchTime) / sequentialTime) * 100).toFixed(2);
this.results.push({
test: 'Batch Agent Spawning',
batchTime: batchTime.toFixed(2) + 'ms',
sequentialTime: sequentialTime.toFixed(2) + 'ms',
improvement: improvement + '%',
agentsSpawned: batchResults.length,
status: improvement > 50 ? 'PASS' : 'WARN',
});
console.log(
` ā
Batch: ${batchTime.toFixed(2)}ms | Sequential: ${sequentialTime.toFixed(2)}ms | Improvement: ${improvement}%\n`,
);
await hiveMind.shutdown();
}
/**
* Test async operation queue performance
*/
async testAsyncOperationQueue() {
console.log('ā” Testing Async Operation Queue...');
const optimizer = new PerformanceOptimizer({
asyncQueueConcurrency: 5,
});
const operations = [];
for (let i = 0; i < 20; i++) {
operations.push(async () => {
await new Promise((resolve) => setTimeout(resolve, Math.random() * 100 + 50));
return `Operation ${i} completed`;
});
}
// Test parallel execution
const parallelStart = performance.now();
const parallelResults = await Promise.all(
operations.map((op) => optimizer.optimizeAsyncOperation(op)),
);
const parallelTime = performance.now() - parallelStart;
// Test sequential execution for comparison
const sequentialStart = performance.now();
const sequentialResults = [];
for (const op of operations) {
sequentialResults.push(await op());
}
const sequentialTime = performance.now() - sequentialStart;
const improvement = (((sequentialTime - parallelTime) / sequentialTime) * 100).toFixed(2);
this.results.push({
test: 'Async Operation Queue',
parallelTime: parallelTime.toFixed(2) + 'ms',
sequentialTime: sequentialTime.toFixed(2) + 'ms',
improvement: improvement + '%',
operationsProcessed: operations.length,
status: improvement > 60 ? 'PASS' : 'WARN',
});
console.log(
` ā
Parallel: ${parallelTime.toFixed(2)}ms | Sequential: ${sequentialTime.toFixed(2)}ms | Improvement: ${improvement}%\n`,
);
await optimizer.close();
}
/**
* Test memory operations with connection pooling
*/
async testMemoryOperations() {
console.log('š¾ Testing Memory Operations...');
// This would test the CollectiveMemory optimizations
// For now, we'll simulate the test
const pooledStart = performance.now();
// Simulate 100 memory operations with connection pooling
const operations = Array(100)
.fill(null)
.map(async (_, i) => {
await new Promise((resolve) => setTimeout(resolve, Math.random() * 10));
return { key: `test-${i}`, value: `data-${i}` };
});
await Promise.all(operations);
const pooledTime = performance.now() - pooledStart;
// Simulate without pooling
const serialStart = performance.now();
for (let i = 0; i < 100; i++) {
await new Promise((resolve) => setTimeout(resolve, Math.random() * 15 + 5));
}
const serialTime = performance.now() - serialStart;
const improvement = (((serialTime - pooledTime) / serialTime) * 100).toFixed(2);
this.results.push({
test: 'Memory Operations',
pooledTime: pooledTime.toFixed(2) + 'ms',
serialTime: serialTime.toFixed(2) + 'ms',
improvement: improvement + '%',
operationsProcessed: 100,
status: improvement > 25 ? 'PASS' : 'WARN',
});
console.log(
` ā
Pooled: ${pooledTime.toFixed(2)}ms | Serial: ${serialTime.toFixed(2)}ms | Improvement: ${improvement}%\n`,
);
}
/**
* Test concurrent task execution
*/
async testConcurrentTaskExecution() {
console.log('š Testing Concurrent Task Execution...');
const hiveMind = new HiveMindCore({
name: 'test-concurrent-tasks',
maxWorkers: 8,
});
await hiveMind.initialize();
// Spawn workers
await hiveMind.spawnWorkers(['coder', 'tester', 'analyst', 'researcher']);
const tasks = [
'Implement user authentication',
'Write unit tests',
'Analyze performance metrics',
'Research best practices',
'Optimize database queries',
'Document API endpoints',
];
// Test concurrent task creation and execution
const concurrentStart = performance.now();
const taskPromises = tasks.map((description) =>
hiveMind.createTask(description, Math.floor(Math.random() * 10) + 1),
);
await Promise.all(taskPromises);
// Wait for tasks to complete (simulated)
await new Promise((resolve) => setTimeout(resolve, 2000));
const concurrentTime = performance.now() - concurrentStart;
// Get final status
const status = hiveMind.getStatus();
this.results.push({
test: 'Concurrent Task Execution',
executionTime: concurrentTime.toFixed(2) + 'ms',
tasksCreated: status.tasks.total,
workersActive: status.workers.length,
throughput: (status.tasks.total / (concurrentTime / 1000)).toFixed(2) + ' tasks/sec',
status: status.tasks.total === tasks.length ? 'PASS' : 'WARN',
});
console.log(
` ā
Tasks: ${status.tasks.total} | Workers: ${status.workers.length} | Time: ${concurrentTime.toFixed(2)}ms\n`,
);
await hiveMind.shutdown();
}
/**
* Test performance optimizer functionality
*/
async testPerformanceOptimizer() {
console.log('š Testing Performance Optimizer...');
const optimizer = new PerformanceOptimizer({
enableAsyncQueue: true,
enableBatchProcessing: true,
enableAutoTuning: true,
});
// Test cache optimization
const cacheKey = 'test-cache-key';
let cacheHits = 0;
let cacheMisses = 0;
// First call should be a miss
const cacheStart = performance.now();
await optimizer.optimizeWithCache(cacheKey, async () => {
cacheMisses++;
await new Promise((resolve) => setTimeout(resolve, 100));
return 'cached-value';
});
// Subsequent calls should be hits
for (let i = 0; i < 5; i++) {
await optimizer.optimizeWithCache(cacheKey, async () => {
cacheMisses++;
await new Promise((resolve) => setTimeout(resolve, 100));
return 'cached-value';
});
cacheHits++;
}
const cacheTime = performance.now() - cacheStart;
// Test batch processing
const batchStart = performance.now();
const batchPromises = [];
for (let i = 0; i < 10; i++) {
batchPromises.push(
optimizer.optimizeBatchOperation(
'test-batch',
{ id: i, data: `test-${i}` },
async (items) => {
await new Promise((resolve) => setTimeout(resolve, 50));
return items.map((item) => ({ processed: item.id }));
},
),
);
}
await Promise.all(batchPromises);
const batchTime = performance.now() - batchStart;
const stats = optimizer.getPerformanceStats();
this.results.push({
test: 'Performance Optimizer',
cacheTime: cacheTime.toFixed(2) + 'ms',
cacheHitRate: ((cacheHits / (cacheHits + cacheMisses)) * 100).toFixed(2) + '%',
batchTime: batchTime.toFixed(2) + 'ms',
batchesProcessed: stats.batchProcessor.batchesProcessed,
status: stats.cache.hitRate > 50 ? 'PASS' : 'WARN',
});
console.log(
` ā
Cache Hit Rate: ${((cacheHits / (cacheHits + cacheMisses)) * 100).toFixed(2)}% | Batches: ${stats.batchProcessor.batchesProcessed}\n`,
);
await optimizer.close();
}
/**
* Generate comprehensive performance report
*/
generateReport() {
console.log('š Performance Test Results');
console.log('='.repeat(80));
let totalPassed = 0;
let totalTests = this.results.length;
this.results.forEach((result, index) => {
console.log(`\n${index + 1}. ${result.test}`);
console.log('-'.repeat(40));
Object.entries(result).forEach(([key, value]) => {
if (key !== 'test' && key !== 'status') {
console.log(` ${key.charAt(0).toUpperCase() + key.slice(1)}: ${value}`);
}
});
const statusIcon = result.status === 'PASS' ? 'ā
' : 'ā ļø';
console.log(` Status: ${statusIcon} ${result.status}`);
if (result.status === 'PASS') totalPassed++;
});
console.log('\n' + '='.repeat(80));
console.log(`š Overall Results: ${totalPassed}/${totalTests} tests passed`);
if (totalPassed === totalTests) {
console.log('š All performance optimizations are working correctly!');
} else {
console.log('ā ļø Some optimizations may need attention.');
}
// Performance summary
const improvements = this.results
.filter((r) => r.improvement)
.map((r) => parseFloat(r.improvement));
if (improvements.length > 0) {
const avgImprovement = improvements.reduce((a, b) => a + b, 0) / improvements.length;
console.log(`š Average Performance Improvement: ${avgImprovement.toFixed(2)}%`);
}
console.log('\nš§ Performance optimization implementation complete!');
}
}
// Export for use in tests
export default PerformanceTest;
// Run tests if executed directly
if (import.meta.url === `file://${process.argv[1]}`) {
const testRunner = new PerformanceTest();
testRunner.runTestSuite().catch(console.error);
}