knowledgegraph-mcp/dist/scripts/run-benchmarks.js

MCP server for enabling persistent knowledge storage for Claude through a knowledge graph with multiple storage backends

#!/usr/bin/env node
import { BenchmarkRunner } from '../tests/performance/benchmark-runner.js';
/**
 * Script to run performance benchmarks for the knowledge graph MCP service
 */
async function main() {
    console.log('🎯 Knowledge Graph MCP Performance Benchmarks');
    console.log('='.repeat(50));
    console.log('');
    try {
        const runner = new BenchmarkRunner();
        const report = await runner.runAllBenchmarks();
        console.log('\n📊 Benchmark Summary');
        console.log('='.repeat(30));
        console.log(`Total Tests: ${report.summary.totalTests}`);
        console.log(`Overall Performance: ${report.summary.overallPerformance}`);
        console.log('');
        // Display category summaries
        for (const [category, stats] of Object.entries(report.summary.categories)) {
            console.log(`${category}:`);
            if (stats.avgTime > 0) {
                console.log(`  Average Time: ${stats.avgTime.toFixed(2)}ms`);
                console.log(`  Range: ${stats.minTime.toFixed(2)}ms - ${stats.maxTime.toFixed(2)}ms`);
            }
            console.log(`  Tests: ${stats.testCount}`);
            console.log('');
        }
        console.log('✅ All benchmarks completed successfully!');
        console.log(`📄 Detailed report saved in benchmark-reports/ directory`);
    }
    catch (error) {
        console.error('❌ Benchmark execution failed:', error);
        process.exit(1);
    }
}
// Run the benchmarks if this script is executed directly
if (import.meta.url === `file://${process.argv[1]}`) {
    main().catch(console.error);
}
export { main };
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