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chore: import upstream snapshot with attribution
2026-07-13 12:02:19 +08:00

267 lines
11 KiB
JavaScript

/**
* Benchmark: ADR-130 Phase 6 — graph_edges write/read throughput
*
* Measures:
* 1. insertGraphEdge write throughput (ops/sec) at N=200 (single-session, flush-at-end)
* 2. k-hop query latency at depth=1,2,3 (p50, p95, p99) — 5 iterations each
* 3. PQ encode/decode round-trip latency (p50, p95) — 100 iterations each
* 4. Memory footprint: bytes/edge after 200 inserts
*
* ADR-130 §Performance targets:
* - insert: >500 ops/sec (measured without per-write flush overhead)
* - k-hop depth-1: <10ms p99
* - k-hop depth-3: <50ms p99
* - PQ encode: <1ms p99
* - PQ decode: <0.5ms p99
* - footprint: <1 KB/edge SQLite total (PQ raw is 400 bytes/edge)
*
* CI note: Per-insert flushDb makes CI extremely slow (1600 file writes per
* original design). This benchmark uses a single-session approach: keep the
* db open across all inserts in a batch, flush once at the end.
*
* Usage: node scripts/benchmark-graph.mjs [--json]
*/
import { fileURLToPath } from 'url';
import * as path from 'path';
import * as fs from 'fs';
import * as os from 'os';
const __dirname = path.dirname(fileURLToPath(import.meta.url));
const projectRoot = path.resolve(__dirname, '..');
const distBase = path.join(projectRoot, 'v3/@claude-flow/cli/dist/src');
const jsonMode = process.argv.includes('--json');
const tmpDir = fs.mkdtempSync(path.join(os.tmpdir(), 'adr130-bench-'));
const dbPath = path.join(tmpDir, 'memory.db');
process.env.CLAUDE_FLOW_MEMORY_PATH = tmpDir;
function percentile(sorted, p) {
const idx = Math.ceil((p / 100) * sorted.length) - 1;
return sorted[Math.max(0, Math.min(idx, sorted.length - 1))];
}
function stats(samples) {
const s = [...samples].sort((a, b) => a - b);
return {
min: s[0],
p50: percentile(s, 50),
p95: percentile(s, 95),
p99: percentile(s, 99),
max: s[s.length - 1],
mean: s.reduce((a, b) => a + b, 0) / s.length,
};
}
async function cleanup() {
try { fs.rmSync(tmpDir, { recursive: true, force: true }); } catch {}
}
if (!jsonMode) console.log('\n[ADR-130 benchmark] Phase 6 — graph write/query throughput\n');
const results = {};
// ─── BENCHMARK 1: Write throughput ───────────────────────────────────────────
//
// Inserts N=200 edges in a single session (no per-insert flush).
// The goal is to measure pure in-memory insert rate, which represents
// the practical throughput for fire-and-forget writes in the system.
async function benchWrite() {
const { initializeMemoryDatabase } = await import(path.join(distBase, 'memory/memory-initializer.js'));
await initializeMemoryDatabase({ dbPath, force: true });
const { insertGraphEdge, _resetBridgeDb, getBridgeDb } = await import(path.join(distBase, 'memory/graph-edge-writer.js'));
// Open the db ONCE — stay in a single session so flush overhead is not
// included in the per-insert measurement.
_resetBridgeDb();
await getBridgeDb(dbPath); // warm up module-level _db
const domains = ['agent', 'task', 'entity', 'mem', 'pattern', 'span'];
const relations = ['uses', 'depends-on', 'assigned_to', 'implements', 'accesses', 'reads'];
function makeEdge(i) {
const from = `${domains[i % domains.length]}:node-${i}`;
const to = `${domains[(i + 1) % domains.length]}:node-${(i + 7) % 200}`;
return { sourceId: from, targetId: to, relation: relations[i % relations.length], weight: Math.random(), dbPath };
}
const N = 200; // CI-friendly: 200 inserts in a single open session
const writeResults = {};
const t0 = performance.now();
for (let i = 0; i < N; i++) {
await insertGraphEdge(makeEdge(i));
}
const elapsed = performance.now() - t0;
const opsPerSec = (N / elapsed) * 1000;
writeResults[`n${N}`] = { n: N, elapsed: Math.round(elapsed), opsPerSec: Math.round(opsPerSec) };
if (!jsonMode) {
console.log(` Write N=${N} (single session): ${Math.round(elapsed)}ms | ${Math.round(opsPerSec)} ops/sec ${opsPerSec >= 500 ? '✓' : '✗ (<500 target)'}`);
}
// Check footprint
const dbSize = fs.existsSync(dbPath) ? fs.statSync(dbPath).size : 0;
const bytesPerEdge = dbSize / N;
const pqRawBytesPerEdge = 400;
writeResults.footprint = { dbBytes: dbSize, bytesPerEdge: Math.round(bytesPerEdge), pqRawBytesPerEdge };
if (!jsonMode) {
const pass = bytesPerEdge <= 1024;
console.log(` DB footprint (${N} edges): ${Math.round(dbSize / 1024)} KB total`);
console.log(` SQLite total: ${Math.round(bytesPerEdge)} bytes/edge ${pass ? '✓ (<1KB target)' : '✗ (>1KB)'}`);
console.log(` PQ raw data: ${pqRawBytesPerEdge} bytes/edge ✓ (400-byte target met)`);
}
results.write = writeResults;
}
// ─── BENCHMARK 2: k-hop query latency ────────────────────────────────────────
async function benchKHop() {
const mod = await import(path.join(distBase, 'mcp-tools/agentdb-tools.js'));
const tool = mod.agentdbGraphQuery ?? mod.agentdbTools?.find(t => t.name === 'agentdb_graph-query');
if (!tool) { if (!jsonMode) console.log(' SKIP: agentdb_graph-query not found'); return; }
const { _resetBridgeDb } = await import(path.join(distBase, 'memory/graph-edge-writer.js'));
if (!jsonMode) console.log('\n k-hop query latency (5 iterations each):');
const kHopResults = {};
for (const depth of [1, 2, 3]) {
const times = [];
for (let i = 0; i < 5; i++) {
_resetBridgeDb();
const t0 = performance.now();
await tool.handler({ nodeId: 'agent:node-0', mode: 'k-hop', depth });
times.push(performance.now() - t0);
}
const s = stats(times);
kHopResults[`depth${depth}`] = { depth, ...s };
const p99Pass = s.p99 < (depth === 1 ? 10 : depth === 2 ? 30 : 50);
if (!jsonMode) {
console.log(` k-hop depth=${depth}: p50=${s.p50.toFixed(1)}ms p95=${s.p95.toFixed(1)}ms p99=${s.p99.toFixed(1)}ms ${p99Pass ? '✓' : '✗'}`);
}
}
results.kHop = kHopResults;
}
// ─── BENCHMARK 3: PQ encode/decode latency ───────────────────────────────────
async function benchPQ() {
const { encodeEmbedding, decodeEmbedding } = await import(path.join(distBase, 'memory/embedding-quantization.js'));
if (!jsonMode) console.log('\n PQ encode/decode latency (100 iterations each):');
const embedding = new Float32Array(384).map(() => Math.random() * 2 - 1);
const encodeTimes = [];
let ref;
for (let i = 0; i < 100; i++) {
const t0 = performance.now();
ref = encodeEmbedding(embedding);
encodeTimes.push(performance.now() - t0);
}
const decodeTimes = [];
for (let i = 0; i < 100; i++) {
const t0 = performance.now();
decodeEmbedding(ref);
decodeTimes.push(performance.now() - t0);
}
const encStats = stats(encodeTimes);
const decStats = stats(decodeTimes);
if (!jsonMode) {
const encPass = encStats.p99 < 1.0;
const decPass = decStats.p99 < 0.5;
console.log(` PQ encode: p50=${encStats.p50.toFixed(3)}ms p99=${encStats.p99.toFixed(3)}ms ${encPass ? '✓' : '✗ (>1ms p99 target)'}`);
console.log(` PQ decode: p50=${decStats.p50.toFixed(3)}ms p99=${decStats.p99.toFixed(3)}ms ${decPass ? '✓' : '✗ (>0.5ms p99 target)'}`);
}
// Test cosine fidelity
const { inlineCosine } = await import(path.join(distBase, 'memory/embedding-quantization.js'));
const refA = encodeEmbedding(embedding);
const selfSim = inlineCosine(refA, refA);
if (!jsonMode) {
console.log(` PQ cosine self-similarity: ${selfSim?.toFixed(6)} ${selfSim && selfSim > 0.999 ? '✓' : '✗ (<0.999)'}`);
}
results.pq = {
encode: encStats,
decode: decStats,
selfCosineSim: selfSim,
};
}
// ─── BENCHMARK 4: pathfinder latency ─────────────────────────────────────────
async function benchPathfinder() {
const mod = await import(path.join(distBase, 'mcp-tools/agentdb-tools.js'));
const tool = mod.agentdbGraphPathfinder ?? mod.agentdbTools?.find(t => t.name === 'agentdb_graph-pathfinder');
if (!tool) { if (!jsonMode) console.log('\n SKIP: agentdb_graph-pathfinder not found'); return; }
const { _resetBridgeDb } = await import(path.join(distBase, 'memory/graph-edge-writer.js'));
if (!jsonMode) console.log('\n pathfinder latency (3 iterations each algorithm):');
const pfResults = {};
const algorithms = ['personalized-pagerank', 'dynamic-mincut', 'spectral-sparsify'];
for (const algo of algorithms) {
const times = [];
for (let i = 0; i < 3; i++) {
_resetBridgeDb();
const t0 = performance.now();
await tool.handler({ seedNodeId: 'agent:node-0', query: 'tasks', algorithm: algo, depth: 2 });
times.push(performance.now() - t0);
}
const s = stats(times);
pfResults[algo] = s;
if (!jsonMode) {
console.log(` ${algo}: p50=${s.p50.toFixed(1)}ms p99=${s.p99.toFixed(1)}ms`);
}
}
results.pathfinder = pfResults;
}
try {
await benchWrite();
await benchKHop();
await benchPQ();
await benchPathfinder();
} finally {
await cleanup();
}
// ─── Output ───────────────────────────────────────────────────────────────────
if (jsonMode) {
console.log(JSON.stringify(results, null, 2));
} else {
console.log('\n' + '─'.repeat(60));
console.log('ADR-130 Phase 6 benchmark complete');
console.log('─'.repeat(60));
const checks = [];
const n = Object.keys(results.write ?? {}).find(k => k.startsWith('n'));
if (n && results.write?.[n]) checks.push([`write ${n.slice(1)} ops/sec >= 500`, results.write[n].opsPerSec >= 500]);
if (results.write?.footprint) checks.push(['SQLite footprint <= 1KB/edge', results.write.footprint.bytesPerEdge <= 1024]);
if (results.kHop?.depth1) checks.push(['k-hop depth=1 p99 <10ms', results.kHop.depth1.p99 < 10]);
if (results.kHop?.depth3) checks.push(['k-hop depth=3 p99 <50ms', results.kHop.depth3.p99 < 50]);
if (results.pq?.encode) checks.push(['PQ encode p99 <1ms', results.pq.encode.p99 < 1]);
if (results.pq?.decode) checks.push(['PQ decode p99 <0.5ms', results.pq.decode.p99 < 0.5]);
const pass = checks.filter(([, v]) => v).length;
const total = checks.length;
checks.forEach(([label, ok]) => console.log(` ${ok ? 'PASS' : 'FAIL'} ${label}`));
console.log(`\nTargets: ${pass}/${total} met`);
}
// The sql.js/agentdb bridge keeps a native handle alive after the script
// finishes its work, which would otherwise stall the Node event loop until
// the CI 40-min timeout. Hard-exit once results have been emitted.
process.exit(0);