initial commit: @arbiter/core authorization engine with js-rigor hardening

Zanzibar-style authorization graph engine (direct/chain/TTU/defeasible/
binary modes, condensed snapshots, value relations) with 39 rigor test
campaigns. Includes fixes for snapshot binary writer/reader format
mismatch (snapshot-of-snapshot corruption), possibility write-boundary
validation, empty-graph snapshot serialization, relation lookup cache
direction collision, config-redefinition cache invalidation, binary
threshold semantics, defeasible compiled routing, and comparator
reason whitelisting.
This commit is contained in:
John Dvorak
2026-07-31 13:44:06 -07:00
commit 717ae1031e
373 changed files with 654131 additions and 0 deletions
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import { Arbiter } from '../src/core/Arbiter.js';
function parseArgs(argv) {
const args = new Map();
for (let i = 2; i < argv.length; i++) {
const value = argv[i];
if (!value.startsWith('--')) continue;
const [key, inline] = value.slice(2).split('=');
if (inline !== undefined) {
args.set(key, inline);
continue;
}
const next = argv[i + 1];
if (next && !next.startsWith('--')) {
args.set(key, next);
i++;
} else {
args.set(key, true);
}
}
return args;
}
function createRng(seed) {
let state = seed >>> 0;
return () => {
state = (1664525 * state + 1013904223) >>> 0;
return state / 0x100000000;
};
}
function parseSizes(value) {
if (!value) return null;
return value.split(',').map(item => Number(item.trim())).filter(Number.isFinite);
}
function formatBytes(bytes) {
if (bytes === 0) return '0B';
const units = ['B', 'KB', 'MB', 'GB'];
const index = Math.min(units.length - 1, Math.floor(Math.log(bytes) / Math.log(1024)));
const scaled = bytes / Math.pow(1024, index);
return `${scaled.toFixed(2)}${units[index]}`;
}
function buildGraph({ nodes, edgesPerNode, rng, enableReachability, authMode, maxDepth }) {
const arbiter = new Arbiter();
for (let i = 0; i < nodes; i++) {
arbiter.addNode(`node:${i}`, 'node');
}
const totalEdges = Math.max(1, Math.round(nodes * edgesPerNode));
for (let i = 0; i < totalEdges; i++) {
const src = Math.floor(rng() * nodes);
const dst = Math.floor(rng() * nodes);
if (src === dst) continue;
arbiter.addRelation(`node:${src}`, 'link', `node:${dst}`, 1.0);
}
arbiter.setRelationConfig('link', { type: 'direct' });
arbiter.setRelationConfig('can_reach', {
type: 'multi_hop',
relation: 'link',
maxDepth,
skipReachabilityCheck: true,
collectValues: false,
trackPaths: false,
fallbackToBasicPaths: false
});
if (enableReachability) {
arbiter.graphManager.initializeReachabilityChecker({ enableBackwardIndex: true });
}
return { arbiter, totalEdges };
}
function runAuthChecks({ arbiter, nodes, rng, samples, authMode }) {
const start = process.hrtime.bigint();
for (let i = 0; i < samples; i++) {
const src = Math.floor(rng() * nodes);
const dst = Math.floor(rng() * nodes);
const relation = authMode === 'direct' ? 'link' : 'can_reach';
arbiter.check(`node:${src}`, relation, `node:${dst}`, { fastPath: true });
}
const elapsedMs = Number(process.hrtime.bigint() - start) / 1e6;
const qps = elapsedMs > 0 ? Math.round((samples / elapsedMs) * 1000) : 0;
return { elapsedMs, qps };
}
function runMutationBench({ arbiter, nodes, rng, samples }) {
const keys = [];
const insertStart = process.hrtime.bigint();
for (let i = 0; i < samples; i++) {
const src = Math.floor(rng() * nodes);
const dst = Math.floor(rng() * nodes);
const srcKey = `node:${src}`;
const dstKey = `node:${dst}`;
keys.push([srcKey, dstKey]);
arbiter.addRelation(srcKey, 'link', dstKey, 1.0);
}
const insertMs = Number(process.hrtime.bigint() - insertStart) / 1e6;
const insertQps = insertMs > 0 ? Math.round((samples / insertMs) * 1000) : 0;
const updateStart = process.hrtime.bigint();
for (const [srcKey, dstKey] of keys) {
arbiter.addRelation(srcKey, 'link', dstKey, { possibility: 0.7 });
}
const updateMs = Number(process.hrtime.bigint() - updateStart) / 1e6;
const updateQps = updateMs > 0 ? Math.round((samples / updateMs) * 1000) : 0;
const deleteStart = process.hrtime.bigint();
for (const [srcKey, dstKey] of keys) {
arbiter.removeRelation(srcKey, 'link', dstKey);
}
const deleteMs = Number(process.hrtime.bigint() - deleteStart) / 1e6;
const deleteQps = deleteMs > 0 ? Math.round((samples / deleteMs) * 1000) : 0;
return { insertMs, insertQps, updateMs, updateQps, deleteMs, deleteQps };
}
function captureMemory() {
if (global.gc) {
global.gc();
}
const memory = process.memoryUsage();
return {
rss: memory.rss,
heapUsed: memory.heapUsed,
heapTotal: memory.heapTotal
};
}
const args = parseArgs(process.argv);
const config = {
sizes: parseSizes(args.get('sizes')) || [5000, 10000, 25000, 50000, 100000, 200000],
edgesPerNode: Number(args.get('edges-per-node') || 4),
seed: Number(args.get('seed') || 42),
maxSeconds: Number(args.get('max-seconds') || 60),
reachability: args.get('reachability') === 'true',
authSamples: Number(args.get('auth-samples') || 20000),
mutationSamples: Number(args.get('mutation-samples') || 5000),
authMode: args.get('auth-mode') || 'multi-hop',
maxDepth: Number(args.get('max-depth') || 4)
};
const rng = createRng(config.seed);
const start = Date.now();
console.log('arbiter_scaling');
console.log(`edges_per_node=${config.edgesPerNode} reachability=${config.reachability}`);
console.log(`auth_mode=${config.authMode} max_depth=${config.maxDepth}`);
console.log('nodes,edges,build_ms,reachability_ms,auth_ms,auth_qps,insert_ms,insert_qps,update_ms,update_qps,delete_ms,delete_qps,rss,heap_used,heap_total');
for (const nodes of config.sizes) {
if ((Date.now() - start) / 1000 > config.maxSeconds) break;
const beforeMemory = captureMemory();
const buildStart = Date.now();
const { arbiter, totalEdges } = buildGraph({
nodes,
edgesPerNode: config.edgesPerNode,
rng,
enableReachability: false,
authMode: config.authMode,
maxDepth: config.maxDepth
});
const buildMs = Date.now() - buildStart;
let reachabilityMs = 0;
if (config.reachability) {
const reachStart = Date.now();
arbiter.graphManager.initializeReachabilityChecker({ enableBackwardIndex: true });
reachabilityMs = Date.now() - reachStart;
}
const auth = runAuthChecks({ arbiter, nodes, rng, samples: config.authSamples, authMode: config.authMode });
const mutations = runMutationBench({ arbiter, nodes, rng, samples: config.mutationSamples });
const afterMemory = captureMemory();
console.log([
nodes,
totalEdges,
buildMs,
reachabilityMs,
Math.round(auth.elapsedMs),
auth.qps,
Math.round(mutations.insertMs),
mutations.insertQps,
Math.round(mutations.updateMs),
mutations.updateQps,
Math.round(mutations.deleteMs),
mutations.deleteQps,
formatBytes(afterMemory.rss - beforeMemory.rss),
formatBytes(afterMemory.heapUsed - beforeMemory.heapUsed),
formatBytes(afterMemory.heapTotal - beforeMemory.heapTotal)
].join(','));
}
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import { Arbiter } from '../src/core/Arbiter.js';
import fs from 'node:fs';
import { performance } from 'node:perf_hooks';
function parseArgs(argv) {
const args = new Map();
for (let i = 2; i < argv.length; i++) {
const value = argv[i];
if (!value.startsWith('--')) continue;
const [key, inline] = value.slice(2).split('=');
if (inline !== undefined) {
args.set(key, inline);
continue;
}
const next = argv[i + 1];
if (next && !next.startsWith('--')) {
args.set(key, next);
i++;
} else {
args.set(key, true);
}
}
return args;
}
const args = parseArgs(process.argv);
const edges = Number(args.get('edges') || 200000);
const users = Number(args.get('users') || 10000);
const docs = Number(args.get('docs') || 50000);
const groups = Number(args.get('groups') || 500);
const samples = Number(args.get('samples') || 5000);
const snapshotPath = args.get('snapshot-path') || null;
const debug = args.has('debug');
const fastConstruction = args.has('no-fast') ? false : true;
const ensureHits = args.has('ensure-hits');
const fixedPair = ensureHits;
const buildIndices = args.has('no-indices') ? false : true;
const hitPairs = [];
console.log('Arbiter snapshot boot bench');
console.log(` edges: ${edges}`);
console.log(` users: ${users}`);
console.log(` docs: ${docs}`);
console.log(` groups: ${groups}`);
console.log(` samples: ${samples}`);
if (snapshotPath) {
console.log(` snapshot path: ${snapshotPath}`);
}
console.log(` fast construction: ${fastConstruction}`);
console.log(` ensure hits: ${ensureHits}`);
console.log(` fixed pair: ${fixedPair}`);
console.log(` build indices: ${buildIndices}`);
let snapshotBuffer = null;
if (snapshotPath && fs.existsSync(snapshotPath)) {
snapshotBuffer = fs.readFileSync(snapshotPath).buffer;
}
let buildTime = 0;
let snapshotTime = 0;
if (!snapshotBuffer) {
const arbiter = new Arbiter({
fastConstructionMode: fastConstruction,
disableCaching: fastConstruction
});
if (debug) console.log(' building nodes...');
const nodeStart = performance.now();
for (let i = 0; i < users; i++) {
arbiter.addNode(`user:${i}`, 'user');
}
for (let i = 0; i < docs; i++) {
arbiter.addNode(`doc:${i}`, 'doc');
}
for (let i = 0; i < groups; i++) {
arbiter.addNode(`group:${i}`, 'group');
}
const nodeTime = performance.now() - nodeStart;
if (debug) console.log(` nodes ready (${nodeTime.toFixed(2)} ms)`);
if (debug) console.log(' building relations...');
const buildStart = performance.now();
for (let i = 0; i < edges; i++) {
const user = `user:${i % users}`;
const doc = `doc:${i % docs}`;
const group = `group:${i % groups}`;
const rel = ['owner', 'editor', 'viewer'][i % 3];
if (i % 5 === 0) {
arbiter.addRelation(user, 'member', group);
}
if (i % 7 === 0) {
arbiter.addRelation(group, 'viewer', doc);
}
arbiter.addRelation(user, rel, doc);
}
buildTime = performance.now() - buildStart;
if (debug) console.log(` relations ready (${buildTime.toFixed(2)} ms)`);
if (debug) console.log(' compiling rules...');
arbiter.setRelationConfig('member', { type: 'direct' });
arbiter.setRelationConfig('viewer', { type: 'direct' });
arbiter.setRelationConfig('risk', { type: 'direct' });
arbiter.setRelationConfig('threshold', { type: 'direct' });
arbiter.setRelationConfig('can_view', {
union: {
rules: [
{ type: 'direct', relation: 'owner' },
{ type: 'direct', relation: 'editor' },
{ type: 'tuple_to_userset', tuplesetRelation: 'viewer', tuplesetDirection: 'in', computedRelation: 'member' }
]
}
});
arbiter.setRelationConfig('complex_view', {
intersection: {
rules: [
{ type: 'tuple_to_userset', tuplesetRelation: 'viewer', tuplesetDirection: 'in', computedRelation: 'member' },
{
type: 'chain',
steps: [
{ relation: 'member', direction: 'out' },
{ relation: 'viewer', direction: 'out' }
]
},
{
type: 'relational_comparator',
comparator: '>=',
left: {
rule: { type: 'direct', relation: 'risk' },
valueRelation: 'risk',
aggregator: 'max',
evaluateFrom: 'auto'
},
right: {
rule: { type: 'direct', relation: 'threshold' },
valueRelation: 'threshold',
aggregator: 'max',
evaluateFrom: 'auto'
}
}
]
}
});
if (!ensureHits) {
for (let i = 0; i < Math.min(20000, edges); i++) {
arbiter.addRelation(`user:${i % users}`, 'risk', `doc:${i % docs}`, { value: (i % 100) / 100 });
arbiter.addRelation(`user:${i % users}`, 'threshold', `doc:${i % docs}`, { value: 0.5 });
}
}
if (ensureHits) {
const hitCount = Math.min(200, users, docs, groups);
for (let i = 0; i < hitCount; i++) {
const user = `user:${i}`;
const doc = `doc:${i}`;
const group = `group:${i}`;
arbiter.addRelation(user, 'member', group);
arbiter.addRelation(group, 'viewer', doc);
arbiter.addRelation(user, 'risk', doc, { value: 0.9 });
arbiter.addRelation(user, 'threshold', doc, { value: 0.1 });
hitPairs.push({ user, doc });
}
}
if (debug) console.log(' snapshotting...');
const snapshotStart = performance.now();
snapshotBuffer = arbiter.toSnapshotBinary({ dropAdjacencyList: true });
snapshotTime = performance.now() - snapshotStart;
if (debug) console.log(` snapshot ready (${snapshotTime.toFixed(2)} ms)`);
console.log(` node build time: ${nodeTime.toFixed(2)} ms`);
}
const snapshotSize = snapshotBuffer.byteLength;
if (snapshotPath && !fs.existsSync(snapshotPath)) {
fs.writeFileSync(snapshotPath, new Uint8Array(snapshotBuffer));
}
const memBefore = process.memoryUsage();
const loadStart = performance.now();
const booted = Arbiter.fromSnapshotBinary(snapshotBuffer, { buildSnapshotIndices: buildIndices });
const loadTime = performance.now() - loadStart;
const memAfter = process.memoryUsage();
const usersArr = Array.from({ length: users }, (_, i) => `user:${i}`);
const docsArr = Array.from({ length: docs }, (_, i) => `doc:${i}`);
let effectiveHitPairs = hitPairs;
if (ensureHits && effectiveHitPairs.length === 0) {
effectiveHitPairs = [{ user: 'user:0', doc: 'doc:0' }];
}
const hitUsers = ensureHits
? (fixedPair ? [effectiveHitPairs[0].user] : effectiveHitPairs.map(pair => pair.user))
: usersArr;
const hitDocs = ensureHits
? (fixedPair ? [effectiveHitPairs[0].doc] : effectiveHitPairs.map(pair => pair.doc))
: docsArr;
const hitUserIds = hitUsers.map(key => booted.resolveNodeId(key));
const hitDocIds = hitDocs.map(key => booted.resolveNodeId(key));
const complexConfig = booted.relationConfigs.get('complex_view');
const simpleStart = performance.now();
let simpleHits = 0;
for (let i = 0; i < samples; i++) {
const user = hitUsers[i % hitUsers.length];
const doc = hitDocs[i % hitDocs.length];
const result = booted.check(user, 'can_view', doc, { fastPath: true });
if (result?.possibility > 0) simpleHits++;
}
const simpleTime = performance.now() - simpleStart;
const complexStart = performance.now();
let complexHits = 0;
for (let i = 0; i < samples; i++) {
const idx = i % hitUsers.length;
const user = hitUsers[idx];
const doc = hitDocs[idx];
const userId = hitUserIds[idx];
const docId = hitDocIds[idx];
const result = booted.authChecker.ruleEvaluator.evaluateRule(
userId,
user,
docId,
doc,
complexConfig,
new Set(),
'complex_view',
{ fastPath: false, collectValues: true, cacheRuleResult: false }
);
if (result?.possibility > 0) complexHits++;
}
const complexTime = performance.now() - complexStart;
console.log('\nResults');
console.log(` build time: ${buildTime.toFixed(2)} ms`);
console.log(` snapshot time: ${snapshotTime.toFixed(2)} ms`);
console.log(` snapshot size: ${(snapshotSize / 1024 / 1024).toFixed(2)} MB`);
console.log(` load time: ${loadTime.toFixed(2)} ms`);
console.log(` memory rss before: ${(memBefore.rss / 1024 / 1024).toFixed(2)} MB`);
console.log(` memory rss after: ${(memAfter.rss / 1024 / 1024).toFixed(2)} MB`);
console.log(` memory heap before: ${(memBefore.heapUsed / 1024 / 1024).toFixed(2)} MB`);
console.log(` memory heap after: ${(memAfter.heapUsed / 1024 / 1024).toFixed(2)} MB`);
console.log(` simple avg: ${(simpleTime / samples * 1000).toFixed(3)} µs`);
console.log(` complex avg: ${(complexTime / samples * 1000).toFixed(3)} µs`);
console.log(` simple hits: ${simpleHits}`);
console.log(` complex hits: ${complexHits}`);
if (ensureHits && debug) {
const sampleUser = hitUsers[0];
const sampleDoc = hitDocs[0];
const sampleSimple = booted.check(sampleUser, 'can_view', sampleDoc, { fastPath: true });
const sampleComplex = booted.check(sampleUser, 'complex_view', sampleDoc, { fastPath: false, collectValues: true, includeMeta: true });
console.log(` sample can_view possibility: ${sampleSimple?.possibility ?? 'null'}`);
console.log(` sample complex_view possibility: ${sampleComplex?.possibility ?? 'null'}`);
if (sampleComplex?.meta) {
console.log(` sample complex meta: ${JSON.stringify(sampleComplex.meta)}`);
}
const complexConfig = booted.relationConfigs.get('complex_view');
const userId = booted.resolveNodeId(sampleUser);
const objectId = booted.resolveNodeId(sampleDoc);
if (userId !== undefined && objectId !== undefined) {
const evaluator = booted.authChecker.ruleEvaluator;
const visited = new Set();
const tupleRule = { type: 'tuple_to_userset', tuplesetRelation: 'viewer', tuplesetDirection: 'in', computedRelation: 'member' };
const chainRule = {
type: 'chain',
steps: [
{ relation: 'member', direction: 'out' },
{ relation: 'viewer', direction: 'out' }
]
};
const compRule = {
type: 'relational_comparator',
comparator: '>=',
left: {
rule: { type: 'direct', relation: 'risk' },
valueRelation: 'risk',
aggregator: 'max',
evaluateFrom: 'auto'
},
right: {
rule: { type: 'direct', relation: 'threshold' },
valueRelation: 'threshold',
aggregator: 'max',
evaluateFrom: 'auto'
}
};
const tupleResult = evaluator.evaluateRule(userId, sampleUser, objectId, sampleDoc, tupleRule, visited, 'tuple_debug', { fastPath: false, collectValues: true });
const chainResult = evaluator.evaluateRule(userId, sampleUser, objectId, sampleDoc, chainRule, visited, 'chain_debug', { fastPath: false, collectValues: true });
const compResult = evaluator.evaluateRule(userId, sampleUser, objectId, sampleDoc, compRule, visited, 'comp_debug', { fastPath: false, collectValues: true, includeMeta: true });
console.log(` tuple_to_userset possibility: ${tupleResult?.possibility ?? 'null'}`);
console.log(` chain possibility: ${chainResult?.possibility ?? 'null'}`);
console.log(` comparator possibility: ${compResult?.possibility ?? 'null'}`);
if (compResult?.meta) {
console.log(` comparator meta: ${JSON.stringify(compResult.meta)}`);
}
const riskRel = booted.relationManager.getDirectRelation(userId, 'risk', objectId);
const thresholdRel = booted.relationManager.getDirectRelation(userId, 'threshold', objectId);
console.log(` risk relation value: ${riskRel?.value ?? 'null'}`);
console.log(` threshold relation value: ${thresholdRel?.value ?? 'null'}`);
if (complexConfig) {
const compiled = complexConfig._compiled;
if (compiled && compiled.type === 'logical') {
const childTypes = compiled.children.map(child => child?.type || 'null');
console.log(` complex compiled children: ${JSON.stringify(childTypes)}`);
const compiledEvaluator = evaluator.compiledEvaluator;
const childPoss = compiled.children.map(child => {
const res = compiledEvaluator.evaluate(child, userId, sampleUser, objectId, sampleDoc, new Set(), 'complex_child', { fastPath: false, collectValues: true, includeMeta: true });
return res?.possibility ?? null;
});
console.log(` complex compiled child possibilities: ${JSON.stringify(childPoss)}`);
}
const directComplex = evaluator.evaluateRule(userId, sampleUser, objectId, sampleDoc, complexConfig, new Set(), 'complex_debug', { fastPath: false, collectValues: true, includeMeta: true });
console.log(` direct complex possibility: ${directComplex?.possibility ?? 'null'}`);
if (directComplex?.meta) {
console.log(` direct complex meta: ${JSON.stringify(directComplex.meta)}`);
}
}
}
}
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import { Arbiter } from '../src/core/Arbiter.js';
import { OWAFusion } from '../src/utils/OWAFusion.js';
function parseArgs(argv) {
const args = new Map();
for (let i = 2; i < argv.length; i++) {
const value = argv[i];
if (!value.startsWith('--')) continue;
if (value.startsWith('--no-')) {
const key = value.slice(5);
args.set(key, false);
continue;
}
const [key, inline] = value.slice(2).split('=');
if (inline !== undefined) {
args.set(key, inline);
continue;
}
const next = argv[i + 1];
if (next && !next.startsWith('--')) {
args.set(key, next);
i++;
} else {
args.set(key, true);
}
}
return args;
}
function createRng(seed) {
let state = seed >>> 0;
return () => {
state = (1664525 * state + 1013904223) >>> 0;
return state / 0x100000000;
};
}
function parseSizes(value) {
if (!value) return null;
return value.split(',').map(item => Number(item.trim())).filter(Number.isFinite);
}
function percentile(sorted, p) {
if (sorted.length === 0) return 0;
const index = Math.min(sorted.length - 1, Math.max(0, Math.ceil((p / 100) * sorted.length) - 1));
return sorted[index];
}
function randInt(rng, max) {
return Math.floor(rng() * max);
}
function randRange(rng, min, max) {
return min + Math.floor(rng() * (max - min));
}
function buildUsers(arbiter, count, prefix) {
const ids = [];
for (let i = 0; i < count; i++) {
ids.push(arbiter.addNode(`${prefix}:${i}`, prefix));
}
return ids;
}
function setupOwaUnionScenario(arbiter, size, rng, relationName, unionConfig) {
buildUsers(arbiter, size, 'user');
buildUsers(arbiter, size, 'resource');
const trueIds = [];
const falseIds = [];
for (let i = 0; i < size; i++) {
if (i % 3 === 0) {
arbiter.addRelation(`user:${i}`, 'viewer', `resource:${i}`, 0.6);
}
if (i % 5 === 0) {
arbiter.addRelation(`user:${i}`, 'owner', `resource:${i}`, 0.9);
}
if (i % 3 === 0 || i % 5 === 0) {
trueIds.push(i);
} else {
falseIds.push(i);
}
}
arbiter.setRelationConfig('viewer', { type: 'direct' });
arbiter.setRelationConfig('owner', { type: 'direct' });
arbiter.setRelationConfig(relationName, {
union: {
rules: [
{ type: 'direct', relation: 'viewer' },
{ type: 'direct', relation: 'owner' }
],
...unionConfig
}
});
const queries = createQueries(
Math.min(2000, size),
() => {
const userId = trueIds.length > 0 ? trueIds[randInt(rng, trueIds.length)] : 0;
return { user: `user:${userId}`, object: `resource:${userId}` };
},
() => {
const userId = falseIds.length > 0 ? falseIds[randInt(rng, falseIds.length)] : 0;
return { user: `user:${userId}`, object: `resource:${userId}` };
}
);
return { queries: shuffleWithRng(queries, rng) };
}
function createQueries(count, pickTrue, pickFalse) {
const queries = [];
const half = Math.floor(count / 2);
for (let i = 0; i < half; i++) {
queries.push({ ...pickTrue(), expected: true });
}
for (let i = 0; i < count - half; i++) {
queries.push({ ...pickFalse(), expected: false });
}
return queries;
}
function createChallengeQueries(count, pickTrue, pickFalse) {
const queries = [];
const half = Math.floor(count / 2);
for (let i = 0; i < half; i++) {
const entry = pickTrue();
queries.push({ ...entry, expected: true });
}
for (let i = 0; i < count - half; i++) {
const entry = pickFalse();
queries.push({ ...entry, expected: false });
}
return queries;
}
function shuffle(items) {
for (let i = items.length - 1; i > 0; i--) {
const j = Math.floor(Math.random() * (i + 1));
[items[i], items[j]] = [items[j], items[i]];
}
return items;
}
function shuffleWithRng(items, rng) {
for (let i = items.length - 1; i > 0; i--) {
const j = Math.floor(rng() * (i + 1));
[items[i], items[j]] = [items[j], items[i]];
}
return items;
}
const scenarios = [
{
name: 'owner_direct',
relation: 'owner',
setup: (arbiter, size, rng) => {
buildUsers(arbiter, size, 'user');
buildUsers(arbiter, size, 'resource');
for (let i = 0; i < size; i++) {
arbiter.addRelation(`user:${i}`, 'owner', `resource:${i}`);
}
arbiter.setRelationConfig('owner', { type: 'direct' });
const queries = createQueries(
Math.min(2000, size * 2),
() => {
const id = randInt(rng, size);
return { user: `user:${id}`, object: `resource:${id}` };
},
() => {
const id = randInt(rng, size);
return { user: `user:${id}`, object: `resource:${(id + 1) % size}` };
}
);
return { queries: shuffleWithRng(queries, rng) };
}
},
{
name: 'viewer_direct',
relation: 'viewer',
setup: (arbiter, size, rng) => {
buildUsers(arbiter, size, 'user');
buildUsers(arbiter, size, 'resource');
for (let i = 0; i < size; i++) {
arbiter.addRelation(`user:${i}`, 'viewer', `resource:${i}`);
}
arbiter.setRelationConfig('viewer', { type: 'direct' });
const queries = createQueries(
Math.min(2000, size * 2),
() => {
const id = randInt(rng, size);
return { user: `user:${id}`, object: `resource:${id}` };
},
() => {
const id = randInt(rng, size);
return { user: `user:${id}`, object: `resource:${(id + 1) % size}` };
}
);
return { queries: shuffleWithRng(queries, rng) };
}
},
{
name: 'group_tuple_to_userset',
relation: 'can_view',
setup: (arbiter, size, rng) => {
const groupCount = Math.max(1, Math.floor(size / 10));
buildUsers(arbiter, size, 'user');
buildUsers(arbiter, groupCount, 'group');
buildUsers(arbiter, groupCount, 'resource');
for (let i = 0; i < size; i++) {
const groupId = i % groupCount;
arbiter.addRelation(`user:${i}`, 'member', `group:${groupId}`);
}
for (let i = 0; i < groupCount; i++) {
arbiter.addRelation(`group:${i}`, 'group_access', `resource:${i}`);
}
arbiter.setRelationConfig('member', { type: 'direct' });
arbiter.setRelationConfig('group_access', { type: 'direct' });
arbiter.setRelationConfig('can_view', {
type: 'tuple_to_userset',
tuplesetRelation: 'group_access',
tuplesetDirection: 'in',
computedRelation: 'member'
});
const queries = createQueries(
Math.min(2000, size),
() => {
const userId = randInt(rng, size);
const groupId = userId % groupCount;
return { user: `user:${userId}`, object: `resource:${groupId}` };
},
() => {
const userId = randInt(rng, size);
const groupId = (userId + 1) % groupCount;
return { user: `user:${userId}`, object: `resource:${groupId}` };
}
);
return { queries: shuffleWithRng(queries, rng) };
}
},
{
name: 'plan_chain',
relation: 'can_use',
setup: (arbiter, size, rng) => {
const planCount = Math.max(1, Math.floor(size / 10));
buildUsers(arbiter, size, 'user');
buildUsers(arbiter, planCount, 'plan');
buildUsers(arbiter, planCount, 'resource');
for (let i = 0; i < size; i++) {
const planId = i % planCount;
arbiter.addRelation(`user:${i}`, 'has_plan', `plan:${planId}`);
}
for (let i = 0; i < planCount; i++) {
arbiter.addRelation(`plan:${i}`, 'plan_grants', `resource:${i}`);
}
arbiter.setRelationConfig('has_plan', { type: 'direct' });
arbiter.setRelationConfig('plan_grants', { type: 'direct' });
arbiter.setRelationConfig('can_use', {
type: 'chain',
steps: [
{ relation: 'has_plan', direction: 'out' },
{ relation: 'plan_grants', direction: 'out' }
],
collectValues: false
});
const queries = createQueries(
Math.min(2000, size),
() => {
const userId = randInt(rng, size);
const planId = userId % planCount;
return { user: `user:${userId}`, object: `resource:${planId}` };
},
() => {
const userId = randInt(rng, size);
const planId = (userId + 1) % planCount;
return { user: `user:${userId}`, object: `resource:${planId}` };
}
);
return { queries: shuffleWithRng(queries, rng) };
}
},
{
name: 'account_admin_chain',
relation: 'can_admin',
setup: (arbiter, size, rng) => {
const accountCount = Math.max(1, Math.floor(size / 10));
buildUsers(arbiter, size, 'user');
buildUsers(arbiter, accountCount, 'account');
buildUsers(arbiter, accountCount, 'resource');
for (let i = 0; i < size; i++) {
const accountId = i % accountCount;
arbiter.addRelation(`user:${i}`, 'admin_of', `account:${accountId}`);
}
for (let i = 0; i < accountCount; i++) {
arbiter.addRelation(`account:${i}`, 'account_owns', `resource:${i}`);
}
arbiter.setRelationConfig('admin_of', { type: 'direct' });
arbiter.setRelationConfig('account_owns', { type: 'direct' });
arbiter.setRelationConfig('can_admin', {
type: 'chain',
steps: [
{ relation: 'admin_of', direction: 'out' },
{ relation: 'account_owns', direction: 'out' }
],
collectValues: false
});
const queries = createQueries(
Math.min(2000, size),
() => {
const userId = randInt(rng, size);
const accountId = userId % accountCount;
return { user: `user:${userId}`, object: `resource:${accountId}` };
},
() => {
const userId = randInt(rng, size);
const accountId = (userId + 1) % accountCount;
return { user: `user:${userId}`, object: `resource:${accountId}` };
}
);
return { queries: shuffleWithRng(queries, rng) };
}
},
{
name: 'blocked_unless',
relation: 'can_view_blocked',
setup: (arbiter, size, rng) => {
buildUsers(arbiter, size, 'user');
buildUsers(arbiter, size, 'resource');
for (let i = 0; i < size; i++) {
arbiter.addRelation(`user:${i}`, 'viewer', `resource:${i}`);
}
for (let i = 0; i < Math.floor(size / 4); i++) {
arbiter.addRelation(`user:${i}`, 'blocked', `resource:${i}`);
}
arbiter.setRelationConfig('viewer', { type: 'direct' });
arbiter.setRelationConfig('blocked', { type: 'direct' });
arbiter.setRelationConfig('can_view_blocked', {
exclusion: [
{ type: 'direct', relation: 'viewer' },
{ type: 'direct', relation: 'blocked' }
]
});
const queries = createQueries(
Math.min(2000, size),
() => {
const blockedRange = Math.floor(size / 4);
const userId = randRange(rng, blockedRange, size);
return { user: `user:${userId}`, object: `resource:${userId}` };
},
() => {
const userId = randInt(rng, Math.floor(size / 4));
return { user: `user:${userId}`, object: `resource:${userId}` };
}
);
return { queries: shuffleWithRng(queries, rng) };
}
},
{
name: 'age_abac',
relation: 'age_ok',
setup: (arbiter, size, rng) => {
buildUsers(arbiter, size, 'user');
buildUsers(arbiter, size, 'resource');
for (let i = 0; i < size; i++) {
arbiter.addRelation(`user:${i}`, 'age', `user:${i}`, 1.0, { value: 18 + (i % 30) });
arbiter.addRelation(`resource:${i}`, 'min_age', `resource:${i}`, 1.0, { value: 18 + (i % 15) });
}
arbiter.setRelationConfig('age', { type: 'direct' });
arbiter.setRelationConfig('min_age', { type: 'direct' });
arbiter.setRelationConfig('age_ok', {
type: 'relational_comparator',
comparator: '>=',
fallbackBehavior: 'deny',
left: {
rule: { type: 'direct', relation: 'age' },
extractValue: true,
valueRelation: 'age'
},
right: {
rule: { type: 'direct', relation: 'min_age' },
extractValue: true,
valueRelation: 'min_age',
evaluateFrom: 'object'
}
});
const queries = createQueries(
Math.min(2000, size),
() => {
const userId = randInt(rng, size);
const resourceId = userId % size;
return { user: `user:${userId}`, object: `resource:${resourceId}` };
},
() => {
const userId = randInt(rng, size);
const resourceId = (userId + Math.floor(size / 2)) % size;
return { user: `user:${userId}`, object: `resource:${resourceId}` };
}
);
const withExpected = queries.map(q => {
const userId = Number(q.user.split(':')[1]);
const resourceId = Number(q.object.split(':')[1]);
const age = 18 + (userId % 30);
const minAge = 18 + (resourceId % 15);
return { ...q, expected: age >= minAge };
});
return { queries: shuffleWithRng(withExpected, rng) };
}
},
{
name: 'risk_limit',
relation: 'risk_ok',
setup: (arbiter, size, rng) => {
buildUsers(arbiter, size, 'user');
buildUsers(arbiter, size, 'resource');
for (let i = 0; i < size; i++) {
const score = i % 100;
arbiter.addRelation(`user:${i}`, 'risk_score', `resource:${i}`, 1.0, { value: score });
arbiter.addRelation(`resource:${i}`, 'risk_limit', `resource:${i}`, 1.0, { value: 50 });
}
arbiter.setRelationConfig('risk_score', { type: 'direct' });
arbiter.setRelationConfig('risk_limit', { type: 'direct' });
arbiter.setRelationConfig('risk_ok', {
type: 'relational_comparator',
comparator: '<=',
fallbackBehavior: 'deny',
left: {
rule: { type: 'direct', relation: 'risk_score' },
extractValue: true,
valueRelation: 'risk_score'
},
right: {
rule: { type: 'direct', relation: 'risk_limit' },
extractValue: true,
valueRelation: 'risk_limit',
evaluateFrom: 'object'
}
});
const queries = createQueries(
Math.min(2000, size),
() => {
const userId = randInt(rng, Math.min(size, 51));
return { user: `user:${userId}`, object: `resource:${userId}` };
},
() => {
const base = Math.min(size - 51, 49);
const userId = base + randInt(rng, Math.max(1, size - base));
return { user: `user:${userId}`, object: `resource:${userId}` };
}
);
const withExpected = queries.map(q => {
const userId = Number(q.user.split(':')[1]);
const score = userId % 100;
return { ...q, expected: score <= 50 };
});
return { queries: shuffleWithRng(withExpected, rng) };
}
},
{
name: 'feature_flag',
relation: 'can_feature',
setup: (arbiter, size, rng) => {
const flagCount = Math.max(1, Math.floor(size / 10));
buildUsers(arbiter, size, 'user');
buildUsers(arbiter, size, 'resource');
buildUsers(arbiter, flagCount, 'flag');
for (let i = 0; i < size; i++) {
const flagId = i % flagCount;
arbiter.addRelation(`user:${i}`, 'has_flag', `flag:${flagId}`);
if (i % 2 === 0) {
arbiter.addRelation(`resource:${i}`, 'feature_flag', `flag:${flagId}`);
}
}
arbiter.setRelationConfig('has_flag', { type: 'direct' });
arbiter.setRelationConfig('feature_flag', { type: 'direct' });
arbiter.setRelationConfig('can_feature', {
type: 'tuple_to_userset',
tuplesetRelation: 'feature_flag',
tuplesetDirection: 'out',
computedRelation: 'has_flag'
});
const queries = createQueries(
Math.min(2000, size),
() => {
const userId = randInt(rng, Math.floor(size / 2)) * 2;
return { user: `user:${userId}`, object: `resource:${userId}` };
},
() => {
const userId = randInt(rng, Math.floor(size / 2)) * 2 + 1;
return { user: `user:${userId}`, object: `resource:${userId}` };
}
);
return { queries: shuffleWithRng(queries, rng) };
}
}
,{
name: 'owa_union',
relation: 'can_view_owa',
setup: (arbiter, size, rng) => {
return setupOwaUnionScenario(arbiter, size, rng, 'can_view_owa', {
aggregator: 'owa',
owaWeights: [0.7, 0.3]
});
}
}
,{
name: 'owa_union_max',
relation: 'can_view_owa_max',
setup: (arbiter, size, rng) => {
return setupOwaUnionScenario(arbiter, size, rng, 'can_view_owa_max', {
aggregator: 'max'
});
}
}
,{
name: 'owa_union_min',
relation: 'can_view_owa_min',
setup: (arbiter, size, rng) => {
return setupOwaUnionScenario(arbiter, size, rng, 'can_view_owa_min', {
aggregator: 'min'
});
}
}
,{
name: 'owa_union_top2',
relation: 'can_view_owa_top2',
setup: (arbiter, size, rng) => {
return setupOwaUnionScenario(arbiter, size, rng, 'can_view_owa_top2', {
aggregator: 'top2'
});
}
}
,{
name: 'owa_union_median',
relation: 'can_view_owa_median',
setup: (arbiter, size, rng) => {
return setupOwaUnionScenario(arbiter, size, rng, 'can_view_owa_median', {
aggregator: 'median'
});
}
}
,{
name: 'owa_comparator_nested',
relation: 'risk_ok_owa',
setup: (arbiter, size, rng) => {
buildUsers(arbiter, size, 'user');
buildUsers(arbiter, size, 'resource');
const trueIds = [];
const falseIds = [];
for (let i = 0; i < size; i++) {
const isSafe = i % 2 === 0;
const score = isSafe ? 20 : 80;
const bonus = isSafe ? 5 : 15;
const noise = isSafe ? 0 : 10;
arbiter.addRelation(`user:${i}`, 'risk_score', `resource:${i}`, 1.0, { value: score });
arbiter.addRelation(`user:${i}`, 'risk_bonus', `resource:${i}`, 1.0, { value: bonus });
arbiter.addRelation(`user:${i}`, 'risk_noise', `resource:${i}`, 1.0, { value: noise });
arbiter.addRelation(`resource:${i}`, 'risk_limit', `resource:${i}`, 1.0, { value: 40 });
arbiter.addRelation(`resource:${i}`, 'risk_cap', `resource:${i}`, 1.0, { value: 45 });
if (isSafe) {
trueIds.push(i);
} else {
falseIds.push(i);
}
}
arbiter.setRelationConfig('risk_score', { type: 'direct' });
arbiter.setRelationConfig('risk_bonus', { type: 'direct' });
arbiter.setRelationConfig('risk_noise', { type: 'direct' });
arbiter.setRelationConfig('risk_limit', { type: 'direct' });
arbiter.setRelationConfig('risk_cap', { type: 'direct' });
arbiter.setRelationConfig('risk_ok_owa', {
type: 'relational_comparator',
comparator: '<=',
fallbackBehavior: 'deny',
left: {
rule: {
union: {
rules: [
{ type: 'direct', relation: 'risk_score' },
{ type: 'direct', relation: 'risk_bonus' },
{ type: 'direct', relation: 'risk_noise' }
],
aggregator: 'owa',
owaWeights: [0.5, 0.3, 0.2]
}
},
extractValue: true,
valueRelation: 'risk_score',
aggregator: 'owa',
owaWeights: [0.5, 0.3, 0.2]
},
right: {
rule: {
union: {
rules: [
{ type: 'direct', relation: 'risk_limit' },
{ type: 'direct', relation: 'risk_cap' }
],
aggregator: 'owa',
owaWeights: [0.6, 0.4]
}
},
extractValue: true,
valueRelation: 'risk_limit',
evaluateFrom: 'object',
aggregator: 'owa',
owaWeights: [0.6, 0.4]
}
});
const computeExpected = (userId, resourceId) => {
const valuesLeft = [
userId % 2 === 0 ? 20 : 80,
userId % 2 === 0 ? 5 : 15,
userId % 2 === 0 ? 0 : 10
];
const leftIntervals = valuesLeft.map(value => ({ min: value, max: value }));
const leftMeta = valuesLeft.map(() => ({ ruleType: 'defeasible', rule: {} }));
const leftFused = OWAFusion.fuseIntervalsWithMeta(leftIntervals, leftMeta, [0.5, 0.3, 0.2], 'owa');
const rightValues = [40, 45];
const rightIntervals = rightValues.map(value => ({ min: value, max: value }));
const rightMeta = rightValues.map(() => ({ ruleType: 'defeasible', rule: {} }));
const rightFused = OWAFusion.fuseIntervalsWithMeta(rightIntervals, rightMeta, [0.6, 0.4], 'owa');
return leftFused.interval.min <= rightFused.interval.min;
};
const pickWithExpectation = (expected) => {
const pool = expected ? trueIds : falseIds;
if (pool.length === 0) {
const userId = randInt(rng, size);
return { user: `user:${userId}`, object: `resource:${userId}` };
}
const userId = pool[randInt(rng, pool.length)];
return { user: `user:${userId}`, object: `resource:${userId}` };
};
const queries = createQueries(
Math.min(2000, size),
() => pickWithExpectation(true),
() => pickWithExpectation(false)
);
return { queries: shuffleWithRng(queries, rng) };
}
},
{
name: 'challenge_mfa_within',
relation: 'secure_action',
setup: (arbiter, size, rng) => {
buildUsers(arbiter, size, 'user');
buildUsers(arbiter, size, 'resource');
arbiter.setRelationConfig('secure_action', {
type: 'challenge',
challenge: 'mfa',
subject: 'user',
withinMs: 5 * 60 * 1000
});
const now = Date.now();
const queries = createChallengeQueries(
Math.min(2000, size * 2),
() => {
const id = randInt(rng, size);
return {
user: `user:${id}`,
object: `resource:${id}`,
options: {
partialGraph: {
challenges: [
{ name: 'mfa', subject: `user:${id}`, issuedAt: now }
]
}
}
};
},
() => {
const id = randInt(rng, size);
return {
user: `user:${id}`,
object: `resource:${id}`,
options: {
partialGraph: {
challenges: [
{ name: 'mfa', subject: `user:${id}`, issuedAt: now - 10 * 60 * 1000 }
]
}
}
};
}
);
return { queries: shuffleWithRng(queries, rng) };
}
},
{
name: 'challenge_composed_union',
relation: 'can_delete',
setup: (arbiter, size, rng) => {
buildUsers(arbiter, size, 'user');
buildUsers(arbiter, size, 'resource');
arbiter.setRelationConfig('secure_connection', {
union: {
rules: [
{ type: 'challenge', challenge: 'mfa', subject: 'user', withinMs: 5 * 60 * 1000 },
{ type: 'challenge', challenge: 'webauthn', subject: 'user', withinMs: 5 * 60 * 1000 }
]
}
});
arbiter.setRelationConfig('can_delete', { type: 'computed', relation: 'secure_connection' });
const now = Date.now();
const queries = createChallengeQueries(
Math.min(2000, size * 2),
() => {
const id = randInt(rng, size);
return {
user: `user:${id}`,
object: `resource:${id}`,
options: {
partialGraph: {
challenges: [
{ name: 'mfa', subject: `user:${id}`, issuedAt: now }
]
}
}
};
},
() => {
const id = randInt(rng, size);
return {
user: `user:${id}`,
object: `resource:${id}`,
options: {
partialGraph: {
challenges: []
}
}
};
}
);
return { queries: shuffleWithRng(queries, rng) };
}
}
];
const args = parseArgs(process.argv);
const config = {
sizes: parseSizes(args.get('sizes')) || [1000, 5000, 10000],
samples: Number(args.get('samples') || 2000),
seed: Number(args.get('seed') || 42),
maxSeconds: Number(args.get('max-seconds') || 60),
verify: args.has('verify'),
snapshot: args.has('snapshot')
};
const rng = createRng(config.seed);
const startTime = Date.now();
console.log('b2c_auth_bench');
console.log('scenario,nodes,edges,build_ms,auth_ms,auth_qps,precision,recall,f1,p95_ms,p99_ms');
for (const scenario of scenarios) {
for (const size of config.sizes) {
if ((Date.now() - startTime) / 1000 > config.maxSeconds) break;
const arbiter = new Arbiter();
const buildStart = Date.now();
const { queries } = scenario.setup(arbiter, size, rng);
let buildMs = Date.now() - buildStart;
if (config.snapshot) {
const snapshotStart = Date.now();
arbiter.enableCondensedSnapshot();
buildMs += Date.now() - snapshotStart;
}
const actualQueries = queries.slice(0, config.samples);
let tp = 0;
let tn = 0;
let fp = 0;
let fn = 0;
const latencies = [];
const authStart = process.hrtime.bigint();
for (const query of actualQueries) {
const start = process.hrtime.bigint();
const options = query.options ? { fastPath: true, ...query.options } : { fastPath: true };
const result = arbiter.check(query.user, scenario.relation, query.object, options);
const predicted = result && result.possibility > 0;
if (predicted && query.expected) tp++;
else if (!predicted && !query.expected) tn++;
else if (predicted && !query.expected) fp++;
else if (!predicted && query.expected) fn++;
latencies.push(Number(process.hrtime.bigint() - start) / 1e6);
}
const authMs = Number(process.hrtime.bigint() - authStart) / 1e6;
const authQps = authMs > 0 ? Math.round((actualQueries.length / authMs) * 1000) : 0;
const precision = tp + fp > 0 ? tp / (tp + fp) : 0;
const recall = tp + fn > 0 ? tp / (tp + fn) : 0;
const f1 = precision + recall > 0 ? (2 * precision * recall) / (precision + recall) : 0;
const sorted = latencies.sort((a, b) => a - b);
const p95 = percentile(sorted, 95).toFixed(3);
const p99 = percentile(sorted, 99).toFixed(3);
console.log([
scenario.name,
size,
arbiter.relations.length,
buildMs,
Math.round(authMs),
authQps,
precision.toFixed(3),
recall.toFixed(3),
f1.toFixed(3),
p95,
p99
].join(','));
if (config.verify && (fp + fn) > 0) {
throw new Error(`Verification failed for ${scenario.name} size ${size}: fp=${fp} fn=${fn}`);
}
}
}
+103
View File
@@ -0,0 +1,103 @@
import fs from 'node:fs';
function parseArgs(argv) {
const args = new Map();
for (let i = 2; i < argv.length; i++) {
const value = argv[i];
if (!value.startsWith('--')) continue;
const [key, inline] = value.slice(2).split('=');
if (inline !== undefined) {
args.set(key, inline);
continue;
}
const next = argv[i + 1];
if (next && !next.startsWith('--')) {
args.set(key, next);
i++;
} else {
args.set(key, true);
}
}
return args;
}
function parseCsv(content) {
const lines = content.split('\n').map(line => line.trim()).filter(Boolean);
const data = [];
for (const line of lines) {
if (line.startsWith('b2c_auth_bench')) continue;
if (line.startsWith('scenario,')) continue;
const parts = line.split(',');
if (parts.length < 11) continue;
const [scenario, nodes, edges, buildMs, authMs, authQps, precision, recall, f1, p95, p99] = parts;
data.push({
scenario,
nodes: Number(nodes),
edges: Number(edges),
buildMs: Number(buildMs),
authMs: Number(authMs),
authQps: Number(authQps),
precision: Number(precision),
recall: Number(recall),
f1: Number(f1),
p95: Number(p95),
p99: Number(p99)
});
}
return data;
}
function fitPowerLaw(points, field) {
const samples = points.filter(point => point[field] > 0 && point.nodes > 0);
if (samples.length < 2) return null;
const xs = samples.map(point => Math.log(point.nodes));
const ys = samples.map(point => Math.log(point[field]));
const n = xs.length;
const sumX = xs.reduce((acc, value) => acc + value, 0);
const sumY = ys.reduce((acc, value) => acc + value, 0);
const sumXY = xs.reduce((acc, value, index) => acc + value * ys[index], 0);
const sumX2 = xs.reduce((acc, value) => acc + value * value, 0);
const denom = n * sumX2 - sumX * sumX;
if (denom === 0) return null;
const slope = (n * sumXY - sumX * sumY) / denom;
const intercept = (sumY - slope * sumX) / n;
return { slope, intercept };
}
function predictPowerLaw(model, nodes) {
return Math.exp(model.intercept + model.slope * Math.log(nodes));
}
const args = parseArgs(process.argv);
const inputPath = args.get('input') || 'new-eval/b2c-auth-bench-output.txt';
const content = fs.readFileSync(inputPath, 'utf8');
const data = parseCsv(content);
const targetNodes = Number(args.get('target') || 1_000_000);
const grouped = new Map();
for (const row of data) {
if (!grouped.has(row.scenario)) {
grouped.set(row.scenario, []);
}
grouped.get(row.scenario).push(row);
}
const metrics = ['edges', 'buildMs', 'authMs', 'authQps', 'p95', 'p99'];
console.log('b2c_auth_fit');
console.log(`target_nodes=${targetNodes}`);
console.log('scenario,metric,model,predicted');
for (const [scenario, points] of grouped.entries()) {
for (const metric of metrics) {
const model = fitPowerLaw(points, metric);
if (!model) continue;
const predicted = predictPowerLaw(model, targetNodes);
const modelLabel = `${Math.exp(model.intercept).toFixed(6)} * n^${model.slope.toFixed(3)}`;
console.log([
scenario,
metric,
modelLabel,
predicted.toFixed(3)
].join(','));
}
}
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import fs from 'node:fs';
import os from 'node:os';
import path from 'node:path';
import { performance } from 'node:perf_hooks';
import { CondensedGraph } from '../src/core/CondensedGraph.js';
import { ShardedSnapshotBuilder } from '../src/core/shards/ShardedSnapshotBuilder.js';
import { ShardedSnapshot } from '../src/core/shards/ShardedSnapshot.js';
import { FileShardStorage } from '../src/core/shards/FileShardStorage.js';
import { DeltaShardBinary } from '../src/core/shards/DeltaShardBinary.js';
import { WaveletShardBinary } from '../src/core/shards/WaveletShardBinary.js';
function parseArgs(argv) {
const args = new Map();
for (let i = 2; i < argv.length; i++) {
const value = argv[i];
if (!value.startsWith('--')) continue;
const [key, inline] = value.slice(2).split('=');
if (inline !== undefined) {
args.set(key, inline);
continue;
}
const next = argv[i + 1];
if (next && !next.startsWith('--')) {
args.set(key, next);
i++;
} else {
args.set(key, true);
}
}
return args;
}
function makeRng(seed) {
let state = seed >>> 0;
return () => {
state = (1664525 * state + 1013904223) >>> 0;
return state / 0x100000000;
};
}
function randInt(rng, max) {
return Math.floor(rng() * max);
}
function shuffleWithRng(items, rng) {
for (let i = items.length - 1; i > 0; i--) {
const j = Math.floor(rng() * (i + 1));
[items[i], items[j]] = [items[j], items[i]];
}
return items;
}
function buildSnapshot(graph, bucketSize, dir, shardMode, componentRelations, chainGroupTargetSize, chainGroupTargetCount) {
const builder = new ShardedSnapshotBuilder({
bucketSize,
includeDirections: ['out', 'in'],
shardMode,
componentRelations,
chainGroupTargetSize,
chainGroupTargetCount
});
const manifest = builder.build(graph, dir);
const storage = new FileShardStorage(dir);
const snapshot = new ShardedSnapshot(manifest, storage, { cacheLimit: 64, recentLimit: 256 });
snapshot.initializeSync();
return { snapshot, manifest, storage };
}
function buildDeltaLayer(snapshot, relationIds, deltaEdges, rng, dir) {
const buckets = new Map();
const relationList = relationIds.filter((relId) => Number.isFinite(relId));
let addCount = 0;
let removeCount = 0;
for (let i = 0; i < deltaEdges; i++) {
const relId = relationList[i % relationList.length];
const srcId = randInt(rng, snapshot.nodeCount);
const shardMeta = snapshot._selectShardMeta(relId, 'out', srcId);
if (!shardMeta) continue;
const localSource = snapshot._localSource(srcId, shardMeta);
const key = shardMeta.cacheKey;
let entry = buckets.get(key);
if (!entry) {
entry = { shardMeta, additions: [], removals: [] };
buckets.set(key, entry);
}
const edges = snapshot.getOutEdgesSync(srcId, relId);
if (edges.length && rng() < 0.5) {
const edge = edges[randInt(rng, edges.length)];
entry.removals.push({ srcLocal: localSource, otherId: edge.dst });
removeCount++;
} else {
const dstId = randInt(rng, snapshot.nodeCount);
entry.additions.push({ srcLocal: localSource, otherId: dstId, possBits: 65535, relBits: 65535 });
addCount++;
}
}
fs.mkdirSync(dir, { recursive: true });
const shards = [];
for (const entry of buckets.values()) {
const shardKey = `delta-${entry.shardMeta.key}`;
const buffer = DeltaShardBinary.serialize({
relationId: entry.shardMeta.relationId,
direction: entry.shardMeta.direction,
rangeStart: entry.shardMeta.rangeStart,
rangeEnd: entry.shardMeta.rangeEnd,
nodeCount: snapshot.nodeCount,
additions: entry.additions,
removals: entry.removals
});
fs.writeFileSync(path.join(dir, shardKey), new Uint8Array(buffer));
shards.push({
key: shardKey,
relationId: entry.shardMeta.relationId,
direction: entry.shardMeta.direction,
rangeStart: entry.shardMeta.rangeStart,
rangeEnd: entry.shardMeta.rangeEnd,
cacheKey: entry.shardMeta.cacheKey
});
}
return { shards, storage: new FileShardStorage(dir), addCount, removeCount };
}
function timeQueries(runQuery, queries) {
const start = performance.now();
let hits = 0;
for (const query of queries) {
if (runQuery(query)) hits++;
}
const duration = performance.now() - start;
return { duration, hits };
}
function sumDeltaBytes(dir) {
let total = 0;
const entries = fs.readdirSync(dir, { withFileTypes: true });
for (const entry of entries) {
if (!entry.isFile()) continue;
total += fs.statSync(path.join(dir, entry.name)).size;
}
return total;
}
function sumShardBytes(dir, manifest) {
let total = 0;
if (manifest.nodeTableKey) {
const nodeTablePath = path.join(dir, manifest.nodeTableKey);
if (fs.existsSync(nodeTablePath)) total += fs.statSync(nodeTablePath).size;
}
if (manifest.componentKey) {
const componentPath = path.join(dir, manifest.componentKey);
if (fs.existsSync(componentPath)) total += fs.statSync(componentPath).size;
}
for (const shard of manifest.shards || []) {
const shardPath = path.join(dir, shard.key);
if (fs.existsSync(shardPath)) total += fs.statSync(shardPath).size;
}
return total;
}
function shardSizeStats(dir, manifest) {
const sizes = [];
for (const shard of manifest.shards || []) {
const shardPath = path.join(dir, shard.key);
if (fs.existsSync(shardPath)) sizes.push(fs.statSync(shardPath).size);
}
sizes.sort((a, b) => a - b);
if (!sizes.length) return { p50: 0, p95: 0, p99: 0, max: 0, min: 0 };
const pct = (p) => sizes[Math.min(sizes.length - 1, Math.floor(p * sizes.length))];
return {
p50: pct(0.5),
p95: pct(0.95),
p99: pct(0.99),
max: sizes[sizes.length - 1],
min: sizes[0]
};
}
function countShardFiles(manifest) {
let total = 0;
if (manifest.nodeTableKey) total += 1;
if (manifest.componentKey) total += 1;
total += (manifest.shards || []).length;
return total;
}
function scenarioOwnerDirect(size, rng) {
const graph = new CondensedGraph();
const users = [];
const resources = [];
for (let i = 0; i < size; i++) {
users.push(graph._ensureNode(`user:${i}`));
resources.push(graph._ensureNode(`resource:${i}`));
}
for (let i = 0; i < size; i++) {
graph.addEdge(users[i], 'owner', resources[i]);
}
const queries = [];
for (let i = 0; i < Math.min(2000, size * 2); i++) {
const id = randInt(rng, size);
queries.push({ userId: users[id], resourceId: resources[id], expect: true });
}
for (let i = 0; i < Math.min(2000, size * 2); i++) {
const id = randInt(rng, size);
queries.push({ userId: users[id], resourceId: resources[(id + 1) % size], expect: false });
}
return { graph, queries: shuffleWithRng(queries, rng), relations: ['owner'] };
}
function scenarioTupleToUserset(size, rng) {
const graph = new CondensedGraph();
const groupCount = Math.max(1, Math.floor(size / 10));
const users = [];
const groups = [];
const resources = [];
for (let i = 0; i < size; i++) users.push(graph._ensureNode(`user:${i}`));
for (let i = 0; i < groupCount; i++) groups.push(graph._ensureNode(`group:${i}`));
for (let i = 0; i < groupCount; i++) resources.push(graph._ensureNode(`resource:${i}`));
for (let i = 0; i < size; i++) {
const groupId = i % groupCount;
graph.addEdge(users[i], 'member', groups[groupId]);
}
for (let i = 0; i < groupCount; i++) {
graph.addEdge(groups[i], 'group_access', resources[i]);
}
const queries = [];
for (let i = 0; i < Math.min(2000, size); i++) {
const userId = randInt(rng, size);
const groupId = userId % groupCount;
queries.push({ userId: users[userId], resourceId: resources[groupId], expect: true });
}
for (let i = 0; i < Math.min(2000, size); i++) {
const userId = randInt(rng, size);
const groupId = (userId + 1) % groupCount;
queries.push({ userId: users[userId], resourceId: resources[groupId], expect: false });
}
return { graph, queries: shuffleWithRng(queries, rng), relations: ['member', 'group_access'] };
}
function scenarioBlockedUnless(size, rng) {
const graph = new CondensedGraph();
const users = [];
const resources = [];
for (let i = 0; i < size; i++) {
users.push(graph._ensureNode(`user:${i}`));
resources.push(graph._ensureNode(`resource:${i}`));
}
for (let i = 0; i < size; i++) {
graph.addEdge(users[i], 'viewer', resources[i]);
if (i % 5 === 0) graph.addEdge(users[i], 'blocked', resources[i]);
}
const queries = [];
for (let i = 0; i < Math.min(2000, size * 2); i++) {
const id = randInt(rng, size);
queries.push({ userId: users[id], resourceId: resources[id], expect: id % 5 !== 0 });
}
for (let i = 0; i < Math.min(2000, size * 2); i++) {
const id = randInt(rng, size);
queries.push({ userId: users[id], resourceId: resources[(id + 1) % size], expect: false });
}
return { graph, queries: shuffleWithRng(queries, rng), relations: ['viewer', 'blocked'] };
}
function scenarioRiskComparator(size, rng) {
const graph = new CondensedGraph();
const users = [];
const resources = [];
for (let i = 0; i < size; i++) {
users.push(graph._ensureNode(`user:${i}`));
resources.push(graph._ensureNode(`resource:${i}`));
}
for (let i = 0; i < size; i++) {
graph.addEdge(users[i], 'risk_score', resources[i], 1.0, { value: (i % 100) / 100 });
graph.addEdge(resources[i], 'risk_limit', resources[i], 1.0, { value: 0.6 });
}
const queries = [];
for (let i = 0; i < Math.min(2000, size); i++) {
const id = randInt(rng, size);
queries.push({ userId: users[id], resourceId: resources[id], expect: (id % 100) / 100 <= 0.6 });
}
return { graph, queries: shuffleWithRng(queries, rng), relations: ['risk_score', 'risk_limit'] };
}
function evaluateOwner(snapshot, relId, query) {
return snapshot.findEdgeSync(query.userId, relId, query.resourceId) !== null;
}
function evaluateTupleToUserset(snapshot, relIds, query) {
const groupAccessRel = relIds.group_access;
const memberRel = relIds.member;
const groupEdges = snapshot.getInEdgesSync(query.resourceId, groupAccessRel);
for (const groupEdge of groupEdges) {
const groupId = groupEdge.src;
const memberEdge = snapshot.findEdgeSync(query.userId, memberRel, groupId);
if (memberEdge) return true;
}
return false;
}
function evaluateBlocked(snapshot, relIds, query) {
const viewerRel = relIds.viewer;
const blockedRel = relIds.blocked;
const viewer = snapshot.findEdgeSync(query.userId, viewerRel, query.resourceId);
if (!viewer) return false;
const blocked = snapshot.findEdgeSync(query.userId, blockedRel, query.resourceId);
return !blocked;
}
function evaluateRisk(snapshot, relIds, query) {
const scoreRel = relIds.risk_score;
const limitRel = relIds.risk_limit;
const scoreEdge = snapshot.findEdgeSync(query.userId, scoreRel, query.resourceId);
if (!scoreEdge) return false;
const limitEdge = snapshot.findEdgeSync(query.resourceId, limitRel, query.resourceId);
if (!limitEdge) return false;
return scoreEdge.value <= limitEdge.value;
}
const scenarios = [
{ name: 'owner_direct', build: scenarioOwnerDirect, eval: (snapshot, relIds, query) => evaluateOwner(snapshot, relIds.owner, query) },
{ name: 'group_tuple_to_userset', build: scenarioTupleToUserset, eval: (snapshot, relIds, query) => evaluateTupleToUserset(snapshot, relIds, query) },
{ name: 'blocked_unless', build: scenarioBlockedUnless, eval: (snapshot, relIds, query) => evaluateBlocked(snapshot, relIds, query) },
{ name: 'risk_comparator', build: scenarioRiskComparator, eval: (snapshot, relIds, query) => evaluateRisk(snapshot, relIds, query) }
];
const args = parseArgs(process.argv);
const size = Number(args.get('size') || 50000);
const seed = Number(args.get('seed') || 1337);
const bucketSize = Number(args.get('bucket') || 65536);
const deltaPowers = String(args.get('delta-powers') || '0,1,2,3').split(',').map((v) => Number(v.trim()));
const compactAt = Number(args.get('compact-at') || 0);
const shardMode = String(args.get('shard-mode') || 'chain');
const componentRelations = args.get('component-relations')
? String(args.get('component-relations')).split(',').map((v) => v.trim()).filter(Boolean)
: ['member', 'group_access', 'viewer', 'blocked', 'risk_score', 'risk_limit', 'owner'];
const chainGroupTargetSize = Number(args.get('chain-group-target-size') || 0);
const chainGroupTargetCount = Number(args.get('chain-group-target-count') || 0);
console.log('B2C delta overlay bench');
console.log(` size: ${size}`);
console.log(` bucket: ${bucketSize}`);
console.log(` delta powers: ${deltaPowers.join(',')}`);
if (compactAt > 0) console.log(` compact at: ${compactAt}`);
console.log(` shard mode: ${shardMode}`);
console.log(` component relations: ${componentRelations.join(',')}`);
console.log(' note: timings are per-query averages; expect noise and cache effects. Compare trends, not single points.');
if (chainGroupTargetSize > 0) console.log(` chain group target size: ${chainGroupTargetSize}`);
if (chainGroupTargetCount > 0) console.log(` chain group target count: ${chainGroupTargetCount}`);
for (const scenario of scenarios) {
const rng = makeRng(seed + scenario.name.length);
const { graph, queries, relations } = scenario.build(size, rng);
graph.finalizePerfectHash();
graph.finalizeWaveletAdjacency({ dropAdjacencyList: true });
const dir = fs.mkdtempSync(path.join(os.tmpdir(), `b2c-delta-${scenario.name}-`));
const { snapshot, manifest } = buildSnapshot(
graph,
bucketSize,
dir,
shardMode,
componentRelations,
chainGroupTargetSize > 0 ? chainGroupTargetSize : undefined,
chainGroupTargetCount > 0 ? chainGroupTargetCount : undefined
);
const relIds = {};
for (const rel of relations) {
relIds[rel] = graph.getRelationId(rel);
}
const relationIds = relations.map((rel) => relIds[rel]);
const baseBytes = sumShardBytes(dir, manifest);
const shardFiles = countShardFiles(manifest);
const shardStats = shardSizeStats(dir, manifest);
console.log(`Scenario: ${scenario.name}`);
console.log('deltaEdges | avg_us_per_query | base_bytes | shard_files | shard_p50 | shard_p95 | shard_p99 | delta_bytes | compact_ms | compact_us_per_edge');
snapshot.setDeltaLayers([]);
snapshot.clearDeltaCache();
const baseline = timeQueries((query) => scenario.eval(snapshot, relIds, query), queries);
console.log(`0 | ${(baseline.duration / queries.length) * 1000} | ${baseBytes} | ${shardFiles} | ${shardStats.p50} | ${shardStats.p95} | ${shardStats.p99} | 0 | - | -`);
for (const power of deltaPowers) {
const deltaEdges = Math.max(1, Math.floor(Math.pow(10, power)));
const deltaDir = path.join(dir, `delta-${power}`);
const layer = buildDeltaLayer(snapshot, relationIds, deltaEdges, rng, deltaDir);
snapshot.setDeltaLayers([layer]);
snapshot.clearDeltaCache();
const result = timeQueries((query) => scenario.eval(snapshot, relIds, query), queries);
const deltaBytes = sumDeltaBytes(deltaDir);
let compactMs = '-';
let compactUsPerEdge = '-';
if (compactAt > 0 && deltaEdges >= compactAt) {
const compactDir = path.join(dir, `compact-${scenario.name}-${power}`);
const start = performance.now();
for (const shardMeta of layer.shards) {
const base = snapshot._cacheIndex.get(shardMeta.cacheKey);
if (!base) continue;
const shard = snapshot._loadShardSync(base.relationId, base.direction, base.rangeStart);
if (!shard) continue;
const deltaBuffer = layer.storage.getSync(shardMeta.key);
if (!deltaBuffer) continue;
const deltaShard = DeltaShardBinary.deserialize(deltaBuffer);
const rangeSize = shard.rangeEnd - shard.rangeStart;
const sources = new Array(rangeSize);
for (let localSource = 0; localSource < rangeSize; localSource++) {
const range = snapshot._rangeForSource(shard, localSource);
const list = [];
if (range) {
for (let pos = range.start; pos < range.end; pos++) {
list.push({ otherId: shard.dstIds[pos], possBits: shard.possBits[pos], relBits: shard.relBits[pos] });
}
}
sources[localSource] = list;
}
for (const removal of deltaShard.removals) {
const list = sources[removal.srcLocal];
if (!list) continue;
const idx = list.findIndex((item) => item.otherId === removal.otherId);
if (idx !== -1) list.splice(idx, 1);
}
for (const addition of deltaShard.additions) {
const list = sources[addition.srcLocal] || (sources[addition.srcLocal] = []);
list.push({ otherId: addition.otherId, possBits: addition.possBits, relBits: addition.relBits });
}
const buffer = WaveletShardBinary.serialize({
relationId: shard.relationId,
direction: shard.direction,
rangeStart: shard.rangeStart,
rangeEnd: shard.rangeEnd,
nodeCount: snapshot.nodeCount,
sources
});
fs.mkdirSync(compactDir, { recursive: true });
fs.writeFileSync(path.join(compactDir, base.key), new Uint8Array(buffer));
}
const totalMs = performance.now() - start;
compactMs = totalMs.toFixed(2);
const denom = Math.max(1, layer.addCount + layer.removeCount);
compactUsPerEdge = ((totalMs * 1000) / denom).toFixed(3);
}
console.log(`${deltaEdges} | ${(result.duration / queries.length) * 1000} | ${baseBytes} | ${shardFiles} | ${shardStats.p50} | ${shardStats.p95} | ${shardStats.p99} | ${deltaBytes} | ${compactMs} | ${compactUsPerEdge}`);
}
fs.rmSync(dir, { recursive: true, force: true });
}
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import { performance } from 'perf_hooks';
import { Arbiter } from '../src/index.js';
console.log('🔬 Batch Size Performance Analysis\n');
// Quick graph setup for testing
function setupTestGraph() {
const arbiter = new Arbiter({
enableInference: true,
useOptimizedInference: true,
fastConstructionMode: true,
inferenceParams: {
minCaseThreshold: 3,
minJaccard: 0.15,
maxSimilarCases: 100
}
});
// Create test data
const users = [];
const docs = [];
const groups = [];
// 1000 users, 5000 documents, 50 groups for realistic scale
for (let i = 0; i < 1000; i++) {
const userKey = `user:${i}`;
users.push(userKey);
arbiter.addNode(userKey, 'user', { id: i, department: `dept_${i % 10}` });
}
for (let i = 0; i < 5000; i++) {
const docKey = `doc:${i}`;
docs.push(docKey);
arbiter.addNode(docKey, 'document', { id: i, classification: `level_${i % 5}` });
}
for (let i = 0; i < 50; i++) {
const groupKey = `group:${i}`;
groups.push(groupKey);
arbiter.addNode(groupKey, 'group', { id: i, type: `type_${i % 5}` });
}
// Add direct relations (20% of users have direct access to 10% of docs)
for (let i = 0; i < users.length * 0.2; i++) {
const user = users[Math.floor(Math.random() * users.length)];
for (let j = 0; j < docs.length * 0.1; j++) {
const doc = docs[Math.floor(Math.random() * docs.length)];
if (Math.random() < 0.3) { // 30% chance of access
arbiter.addRelation(user, 'can_read', doc, { possibility: 1.0 });
}
}
}
// Add group memberships (each user in 2-3 groups)
for (const user of users) {
const numGroups = 2 + Math.floor(Math.random() * 2); // 2-3 groups
for (let i = 0; i < numGroups; i++) {
const group = groups[Math.floor(Math.random() * groups.length)];
arbiter.addRelation(user, 'member_of', group, { possibility: 1.0 });
}
}
// Add group permissions (groups can access documents)
for (const group of groups) {
for (let i = 0; i < docs.length * 0.05; i++) { // 5% of docs per group
const doc = docs[Math.floor(Math.random() * docs.length)];
if (Math.random() < 0.4) { // 40% chance
arbiter.addRelation(group, 'can_read', doc, { possibility: 1.0 });
if (Math.random() < 0.3) { // 30% chance for write
arbiter.addRelation(group, 'can_write', doc, { possibility: 1.0 });
}
}
}
}
// Configure relation types
arbiter.setRelationConfig('can_read', {
union: [
{ type: 'direct' },
{
type: 'tuple_to_userset',
tuplesetRelation: 'can_read',
computedRelation: 'member_of'
}
]
});
arbiter.setRelationConfig('can_write', {
intersection: [
{
union: [
{ type: 'direct' },
{
type: 'tuple_to_userset',
tuplesetRelation: 'can_write',
computedRelation: 'member_of'
}
]
},
{
type: 'direct',
relation: 'is_active'
}
]
});
arbiter.setRelationConfig('member_of', { type: 'direct' });
arbiter.setRelationConfig('is_active', { type: 'direct' });
// Add some active user flags
for (let i = 0; i < users.length * 0.8; i++) { // 80% active
const user = users[Math.floor(Math.random() * users.length)];
arbiter.addRelation(user, 'is_active', 'system:active', { possibility: 1.0 });
}
console.log(`📊 Test graph: ${users.length} users, ${docs.length} documents, ${groups.length} groups`);
return { arbiter, users, docs, groups };
}
// Benchmark individual queries
async function benchmarkIndividual(arbiter, users, docs, numQueries) {
const queries = [];
for (let i = 0; i < numQueries; i++) {
const user = users[Math.floor(Math.random() * users.length)];
const doc = docs[Math.floor(Math.random() * docs.length)];
queries.push({ userKey: user, relation: 'can_read', objectKey: doc });
}
const start = performance.now();
for (const query of queries) {
arbiter.check(query.userKey, query.relation, query.objectKey, { noInfer: true });
}
const totalTime = performance.now() - start;
const qps = numQueries / (totalTime / 1000);
const avgLatency = totalTime / numQueries;
return { totalTime, qps, avgLatency, method: 'individual' };
}
// Benchmark batch queries
async function benchmarkBatch(arbiter, users, docs, numQueries) {
const queries = [];
for (let i = 0; i < numQueries; i++) {
const user = users[Math.floor(Math.random() * users.length)];
const doc = docs[Math.floor(Math.random() * docs.length)];
queries.push({ userKey: user, relation: 'can_read', objectKey: doc });
}
const start = performance.now();
arbiter.checkBatch(queries);
const totalTime = performance.now() - start;
const qps = numQueries / (totalTime / 1000);
const avgLatency = totalTime / numQueries;
return { totalTime, qps, avgLatency, method: 'batch' };
}
// Benchmark user batch (1 user, N documents)
async function benchmarkUserBatch(arbiter, users, docs, numQueries) {
const user = users[Math.floor(Math.random() * users.length)];
const docKeys = [];
for (let i = 0; i < numQueries; i++) {
const doc = docs[Math.floor(Math.random() * docs.length)];
docKeys.push(doc);
}
const start = performance.now();
arbiter.checkUserBatch(user, 'can_read', docKeys);
const totalTime = performance.now() - start;
const qps = numQueries / (totalTime / 1000);
const avgLatency = totalTime / numQueries;
return { totalTime, qps, avgLatency, method: 'userBatch' };
}
// Benchmark binary mode individual
async function benchmarkBinaryIndividual(arbiter, users, docs, numQueries) {
const queries = [];
for (let i = 0; i < numQueries; i++) {
const user = users[Math.floor(Math.random() * users.length)];
const doc = docs[Math.floor(Math.random() * docs.length)];
queries.push({ userKey: user, relation: 'can_read', objectKey: doc });
}
const start = performance.now();
for (const query of queries) {
arbiter.check(query.userKey, query.relation, query.objectKey, {
binary: true,
noInfer: true,
minAllowPossibility: 0.8,
maxDenyPossibility: 0.8
});
}
const totalTime = performance.now() - start;
const qps = numQueries / (totalTime / 1000);
const avgLatency = totalTime / numQueries;
return { totalTime, qps, avgLatency, method: 'binary' };
}
// Benchmark with inference (individual queries)
async function benchmarkWithInference(arbiter, users, docs, numQueries) {
const queries = [];
for (let i = 0; i < numQueries; i++) {
const user = users[Math.floor(Math.random() * users.length)];
const doc = docs[Math.floor(Math.random() * docs.length)];
queries.push({ userKey: user, relation: 'can_read', objectKey: doc });
}
const start = performance.now();
for (const query of queries) {
arbiter.check(query.userKey, query.relation, query.objectKey); // Inference enabled
}
const totalTime = performance.now() - start;
const qps = numQueries / (totalTime / 1000);
const avgLatency = totalTime / numQueries;
return { totalTime, qps, avgLatency, method: 'inference' };
}
// Benchmark complex write queries (intersection rules)
async function benchmarkComplexWrite(arbiter, users, docs, numQueries) {
const queries = [];
for (let i = 0; i < numQueries; i++) {
const user = users[Math.floor(Math.random() * users.length)];
const doc = docs[Math.floor(Math.random() * docs.length)];
queries.push({ userKey: user, relation: 'can_write', objectKey: doc });
}
const start = performance.now();
for (const query of queries) {
arbiter.check(query.userKey, query.relation, query.objectKey, { noInfer: true });
}
const totalTime = performance.now() - start;
const qps = numQueries / (totalTime / 1000);
const avgLatency = totalTime / numQueries;
return { totalTime, qps, avgLatency, method: 'complexWrite' };
}
// Benchmark batch with inference
async function benchmarkBatchWithInference(arbiter, users, docs, numQueries) {
const queries = [];
for (let i = 0; i < numQueries; i++) {
const user = users[Math.floor(Math.random() * users.length)];
const doc = docs[Math.floor(Math.random() * docs.length)];
queries.push({ userKey: user, relation: 'can_read', objectKey: doc });
}
const start = performance.now();
// Note: Current batch processor doesn't support inference options per query
// This will use individual checks with inference for each query in the batch
const results = [];
for (const query of queries) {
results.push(arbiter.check(query.userKey, query.relation, query.objectKey));
}
const totalTime = performance.now() - start;
const qps = numQueries / (totalTime / 1000);
const avgLatency = totalTime / numQueries;
return { totalTime, qps, avgLatency, method: 'batchInference' };
}
// Benchmark binary + batch combination
async function benchmarkBinaryBatch(arbiter, users, docs, numQueries) {
const queries = [];
for (let i = 0; i < numQueries; i++) {
const user = users[Math.floor(Math.random() * users.length)];
const doc = docs[Math.floor(Math.random() * docs.length)];
queries.push({ userKey: user, relation: 'can_read', objectKey: doc });
}
const start = performance.now();
// Simulate binary batch by doing individual binary checks
// (since batch processor doesn't support binary mode yet)
for (const query of queries) {
arbiter.check(query.userKey, query.relation, query.objectKey, {
binary: true,
noInfer: true,
minAllowPossibility: 0.8,
maxDenyPossibility: 0.8
});
}
const totalTime = performance.now() - start;
const qps = numQueries / (totalTime / 1000);
const avgLatency = totalTime / numQueries;
return { totalTime, qps, avgLatency, method: 'binaryBatch' };
}
// Main analysis
async function analyzeBatchSizes() {
const { arbiter, users, docs, groups } = setupTestGraph();
// Test different batch sizes
const batchSizes = [1, 5, 10, 25, 50, 100, 250, 500, 1000, 2000, 5000];
const results = [];
console.log('\n🧪 Testing batch sizes vs individual queries...\n');
console.log('Batch Size | Individual | Batch | UserBatch | Binary | Inference | ComplexWrite | BinaryBatch | Best Method');
console.log('-----------|------------|-------|-----------|--------|-----------|--------------|-------------|-------------');
for (const batchSize of batchSizes) {
// Run each test 3 times and take the best result
const individualResults = [];
const batchResults = [];
const userBatchResults = [];
const binaryResults = [];
const inferenceResults = [];
const complexWriteResults = [];
const binaryBatchResults = [];
for (let run = 0; run < 3; run++) {
individualResults.push(await benchmarkIndividual(arbiter, users, docs, batchSize));
batchResults.push(await benchmarkBatch(arbiter, users, docs, batchSize));
userBatchResults.push(await benchmarkUserBatch(arbiter, users, docs, batchSize));
binaryResults.push(await benchmarkBinaryIndividual(arbiter, users, docs, batchSize));
inferenceResults.push(await benchmarkWithInference(arbiter, users, docs, batchSize));
complexWriteResults.push(await benchmarkComplexWrite(arbiter, users, docs, batchSize));
binaryBatchResults.push(await benchmarkBinaryBatch(arbiter, users, docs, batchSize));
}
// Take the best QPS from each method
const individualQPS = Math.max(...individualResults.map(r => r.qps));
const batchQPS = Math.max(...batchResults.map(r => r.qps));
const userBatchQPS = Math.max(...userBatchResults.map(r => r.qps));
const binaryQPS = Math.max(...binaryResults.map(r => r.qps));
const inferenceQPS = Math.max(...inferenceResults.map(r => r.qps));
const complexWriteQPS = Math.max(...complexWriteResults.map(r => r.qps));
const binaryBatchQPS = Math.max(...binaryBatchResults.map(r => r.qps));
// Determine best method
const methods = [
{ name: 'Individual', qps: individualQPS },
{ name: 'Batch', qps: batchQPS },
{ name: 'UserBatch', qps: userBatchQPS },
{ name: 'Binary', qps: binaryQPS },
{ name: 'Inference', qps: inferenceQPS },
{ name: 'ComplexWrite', qps: complexWriteQPS },
{ name: 'BinaryBatch', qps: binaryBatchQPS }
];
const bestMethod = methods.reduce((best, current) =>
current.qps > best.qps ? current : best
);
console.log(`${batchSize.toString().padStart(10)} | ${Math.round(individualQPS).toString().padStart(10)} | ${Math.round(batchQPS).toString().padStart(5)} | ${Math.round(userBatchQPS).toString().padStart(9)} | ${Math.round(binaryQPS).toString().padStart(6)} | ${Math.round(inferenceQPS).toString().padStart(9)} | ${Math.round(complexWriteQPS).toString().padStart(12)} | ${Math.round(binaryBatchQPS).toString().padStart(11)} | ${bestMethod.name}`);
results.push({
batchSize,
individualQPS,
batchQPS,
userBatchQPS,
binaryQPS,
inferenceQPS,
complexWriteQPS,
binaryBatchQPS,
bestMethod: bestMethod.name,
bestQPS: bestMethod.qps
});
}
// Find crossover points
console.log('\n📊 Analysis Results:\n');
// Find where batch beats individual
const batchCrossover = results.find(r => r.batchQPS > r.individualQPS);
if (batchCrossover) {
console.log(`🎯 Batch beats Individual at size: ${batchCrossover.batchSize}`);
console.log(` Individual: ${Math.round(batchCrossover.individualQPS)} QPS`);
console.log(` Batch: ${Math.round(batchCrossover.batchQPS)} QPS`);
console.log(` Improvement: ${((batchCrossover.batchQPS / batchCrossover.individualQPS - 1) * 100).toFixed(1)}%\n`);
}
// Find where userBatch beats batch
const userBatchCrossover = results.find(r => r.userBatchQPS > r.batchQPS);
if (userBatchCrossover) {
console.log(`🎯 UserBatch beats Batch at size: ${userBatchCrossover.batchSize}`);
console.log(` Batch: ${Math.round(userBatchCrossover.batchQPS)} QPS`);
console.log(` UserBatch: ${Math.round(userBatchCrossover.userBatchQPS)} QPS`);
console.log(` Improvement: ${((userBatchCrossover.userBatchQPS / userBatchCrossover.batchQPS - 1) * 100).toFixed(1)}%\n`);
}
// Find where binary beats inference
const binaryVsInference = results.find(r => r.binaryQPS > r.inferenceQPS);
if (binaryVsInference) {
console.log(`🎯 Binary beats Inference at size: ${binaryVsInference.batchSize}`);
console.log(` Inference: ${Math.round(binaryVsInference.inferenceQPS)} QPS`);
console.log(` Binary: ${Math.round(binaryVsInference.binaryQPS)} QPS`);
console.log(` Improvement: ${((binaryVsInference.binaryQPS / binaryVsInference.inferenceQPS - 1) * 100).toFixed(1)}%\n`);
}
// Find optimal batch size
const optimalResult = results.reduce((best, current) =>
current.bestQPS > best.bestQPS ? current : best
);
console.log(`🏆 Optimal Configuration:`);
console.log(` Batch Size: ${optimalResult.batchSize}`);
console.log(` Method: ${optimalResult.bestMethod}`);
console.log(` QPS: ${Math.round(optimalResult.bestQPS)}`);
// Show efficiency gains
const baseline = results[0]; // Size 1 individual
console.log(`\n💪 Performance Gains vs Individual (size 1):`);
console.log(` Best Method: ${((optimalResult.bestQPS / baseline.individualQPS - 1) * 100).toFixed(1)}% faster`);
console.log(` Binary Mode: ${((optimalResult.binaryQPS / baseline.individualQPS - 1) * 100).toFixed(1)}% faster`);
console.log(` Inference: ${((optimalResult.inferenceQPS / baseline.individualQPS - 1) * 100).toFixed(1)}% faster`);
console.log(` Complex Write: ${((optimalResult.complexWriteQPS / baseline.individualQPS - 1) * 100).toFixed(1)}% faster`);
// Performance comparison at optimal size
console.log(`\n🔬 Performance Breakdown at Optimal Size (${optimalResult.batchSize}):`);
console.log(` UserBatch: ${Math.round(optimalResult.userBatchQPS).toLocaleString()} QPS`);
console.log(` Batch: ${Math.round(optimalResult.batchQPS).toLocaleString()} QPS`);
console.log(` Binary: ${Math.round(optimalResult.binaryQPS).toLocaleString()} QPS`);
console.log(` Individual: ${Math.round(optimalResult.individualQPS).toLocaleString()} QPS`);
console.log(` Inference: ${Math.round(optimalResult.inferenceQPS).toLocaleString()} QPS`);
console.log(` ComplexWrite: ${Math.round(optimalResult.complexWriteQPS).toLocaleString()} QPS`);
// Inference impact analysis
const inferenceImpact = results.map(r => ({
batchSize: r.batchSize,
slowdown: ((r.individualQPS - r.inferenceQPS) / r.individualQPS * 100).toFixed(1)
}));
console.log(`\n🧠 Inference Performance Impact:`);
console.log(` Average slowdown: ${(inferenceImpact.reduce((sum, r) => sum + parseFloat(r.slowdown), 0) / inferenceImpact.length).toFixed(1)}%`);
console.log(` Best inference QPS: ${Math.round(Math.max(...results.map(r => r.inferenceQPS))).toLocaleString()}`);
console.log(` Inference still viable for: ${results.filter(r => r.inferenceQPS > 10000).length}/${results.length} batch sizes tested`);
}
// Run the analysis
analyzeBatchSizes().catch(console.error);
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// benchmark-interval-inference.js
// Benchmark interval-based inference with relational comparisons
import { performance } from 'perf_hooks';
import { Arbiter } from '../src/index.js';
import { PACBayesInference } from '../src/inference/PACBayesInference.js';
import { fileURLToPath } from 'url';
import { dirname, resolve } from 'path';
import fs from 'fs';
const __filename = fileURLToPath(import.meta.url);
const __dirname = dirname(__filename);
// Create a realistic financial services graph
function createFinancialGraph() {
const arbiter = new Arbiter({
enableInference: true,
useOptimizedInference: true,
useANN: true
});
// Account tiers with typical balance ranges
const accountTiers = {
basic: { min: 1000, max: 25000, count: 100 },
silver: { min: 25000, max: 100000, count: 50 },
gold: { min: 100000, max: 500000, count: 25 },
platinum: { min: 500000, max: 2000000, count: 10 }
};
// Create accounts with realistic balance distributions
const accounts = [];
for (const [tier, config] of Object.entries(accountTiers)) {
for (let i = 0; i < config.count; i++) {
const balance = config.min + Math.random() * (config.max - config.min);
const accountAge = Math.floor(Math.random() * 120); // months
const creditScore = 600 + Math.floor(Math.random() * 250);
const id = `${tier}_account_${i}`;
accounts.push({
id,
tier,
balance: Math.floor(balance),
accountAge,
creditScore
});
arbiter.addNode(id, 'account', {
tier,
balance: Math.floor(balance),
accountAge,
creditScore
});
}
}
// Create financial products with requirements
const products = [
{ id: 'savings_basic', minBalance: 1000, minCredit: 0 },
{ id: 'checking_premium', minBalance: 25000, minCredit: 650 },
{ id: 'investment_silver', minBalance: 50000, minCredit: 700 },
{ id: 'investment_gold', minBalance: 100000, minCredit: 720 },
{ id: 'private_banking', minBalance: 500000, minCredit: 750 },
{ id: 'wealth_management', minBalance: 1000000, minCredit: 780 }
];
for (const product of products) {
arbiter.addNode(product.id, 'product', {
minBalance: product.minBalance,
minCredit: product.minCredit
});
}
// Add access relations based on requirements
for (const account of accounts) {
for (const product of products) {
if (account.balance >= product.minBalance && account.creditScore >= product.minCredit) {
arbiter.addRelation(account.id, 'can_access', product.id);
}
}
}
// Mock relational rules
arbiter.getRelationalRules = (relation) => {
if (relation === 'has_min_balance_for') {
return [{
type: 'relational-comparison',
attribute: 'balance',
operator: '>=',
threshold: 'object.minBalance' // Would be resolved dynamically
}];
}
if (relation === 'meets_credit_requirement') {
return [{
type: 'relational-comparison',
attribute: 'creditScore',
operator: '>=',
threshold: 'object.minCredit'
}];
}
return [];
};
return { arbiter, accounts, products };
}
async function benchmarkIntervalQueries() {
console.log('=== Interval Inference Benchmark ===\n');
const { arbiter, accounts, products } = createFinancialGraph();
// Create interval inference engine
const inference = new PACBayesInference(arbiter, {
intervalConfidence: 0.95,
minVotersForInterval: 3,
delta: 0.05,
k: 15 // neighbors for inference
});
arbiter.inferenceEngine = inference;
// Record observed decisions
let recordedCount = 0;
const canAccessRelations = arbiter.relationManager.getRelationsByName('can_access');
for (const rel of canAccessRelations) {
if (Math.random() < 0.7) { // Record 70%
const subjectKey = arbiter.nodeManager.getNodeKey(rel.src);
const objectKey = arbiter.nodeManager.getNodeKey(rel.dst);
if (subjectKey && objectKey) {
inference.recordDecision(subjectKey, rel.rel, objectKey, 'allow');
recordedCount++;
}
}
}
console.log(`Recorded ${recordedCount} access decisions\n`);
// Generate embeddings
if (arbiter.embeddingManager) {
arbiter.embeddingManager.forceRegenerateEmbeddings();
if (arbiter.similarityManager) arbiter.similarityManager.ensureIndexReady();
}
// Simulate missing attribute values
const testAccounts = accounts.slice(0, 20); // Test with 20 accounts
const originalBalances = new Map();
for (const account of testAccounts) {
originalBalances.set(account.id, account.balance);
// Remove balance attribute to simulate stale/missing data
const node = arbiter.nodeManager.getNodeByKey(account.id);
if (node && node.data) {
delete node.data.balance;
}
}
console.log('=== Testing Interval Estimation ===\n');
// Test interval estimation accuracy
let totalError = 0;
let validEstimates = 0;
for (const account of testAccounts.slice(0, 5)) { // Show first 5
const interval = await inference.estimateAttributeInterval(account.id, 'balance', 10);
const actual = originalBalances.get(account.id);
console.log(`Account: ${account.id} (${account.tier})`);
console.log(` Actual balance: $${actual.toLocaleString()}`);
console.log(` Estimated interval: [$${interval.lower?.toLocaleString() || 'N/A'}, $${interval.upper?.toLocaleString() || 'N/A'}]`);
console.log(` Confidence: ${(interval.confidence * 100).toFixed(1)}%`);
console.log(` Voters: ${interval.voters}`);
if (interval.lower && interval.upper) {
const inInterval = actual >= interval.lower && actual <= interval.upper;
console.log(` Contains actual: ${inInterval ? 'YES' : 'NO'}`);
if (inInterval) validEstimates++;
const midpoint = (interval.lower + interval.upper) / 2;
const error = Math.abs(midpoint - actual) / actual;
totalError += error;
}
console.log();
}
console.log(`\nInterval Coverage: ${validEstimates}/${testAccounts.slice(0, 5).length}`);
console.log(`Average Error: ${(totalError / 5 * 100).toFixed(1)}%\n`);
console.log('=== Benchmarking Authorization Queries ===\n');
// Benchmark authorization checks with missing data
const queries = [];
for (let i = 0; i < 100; i++) {
const account = testAccounts[Math.floor(Math.random() * testAccounts.length)];
const product = products[Math.floor(Math.random() * products.length)];
queries.push({ subject: account.id, object: product.id });
}
let allowCount = 0;
let denyCount = 0;
let undeterminedCount = 0;
let totalTime = 0;
for (const query of queries) {
const start = performance.now();
const result = await inference.check(query.subject, 'can_access', query.object);
const elapsed = performance.now() - start;
totalTime += elapsed;
if (result.outcome === 'allow') allowCount++;
else if (result.outcome === 'deny') denyCount++;
else undeterminedCount++;
}
console.log('Query Results:');
console.log(` Allow: ${allowCount} (${(allowCount/queries.length*100).toFixed(1)}%)`);
console.log(` Deny: ${denyCount} (${(denyCount/queries.length*100).toFixed(1)}%)`);
console.log(` Undetermined: ${undeterminedCount} (${(undeterminedCount/queries.length*100).toFixed(1)}%)`);
console.log(`\nPerformance:`);
console.log(` Total queries: ${queries.length}`);
console.log(` Average latency: ${(totalTime / queries.length).toFixed(2)}ms`);
console.log(` QPS: ${(1000 / (totalTime / queries.length)).toFixed(0)}`);
// Show cache stats
console.log('\n=== Cache Statistics ===');
const cacheStats = inference.getIntervalCacheStats();
console.log(`Cache entries: ${cacheStats.size}`);
if (cacheStats.entries.length > 0) {
console.log('Sample entries:');
for (const entry of cacheStats.entries.slice(0, 3)) {
console.log(` ${entry.key}: [${entry.interval.lower}, ${entry.interval.upper}] (age: ${(entry.age/1000).toFixed(1)}s)`);
}
}
// Show optimization statistics
console.log('\n=== Optimization Statistics ===');
const perfStats = inference.getPerformanceStats();
console.log('Inference Performance:');
console.log(` Queries: ${perfStats.inference.queries}`);
console.log(` Cache hits: ${perfStats.inference.cacheHits}`);
console.log(` Cache hit rate: ${(perfStats.inference.overallCacheHitRate * 100).toFixed(1)}%`);
console.log(` Similarity cache hits: ${perfStats.inference.similarityCacheHits}`);
console.log('\nSimilarity Manager Performance:');
console.log(` Total searches: ${perfStats.similarity.searches || 0}`);
console.log(` Vector cache hits: ${perfStats.similarity.vectorCacheHits || 0}`);
console.log(` Vector cache hit rate: ${((perfStats.similarity.vectorCacheHitRate || 0) * 100).toFixed(1)}%`);
console.log(` Average search time: ${(perfStats.similarity.avgSearchTime || 0).toFixed(2)}ms`);
console.log('\nOptimization Impact:');
console.log(` Redundant searches avoided: ${perfStats.optimization.redundantSearchesAvoided}`);
console.log(` Redundant conversions avoided: ${perfStats.optimization.redundantConversionsAvoided}`);
console.log(` Vector conversion efficiency: ${((perfStats.optimization.vectorCacheHitRate || 0) * 100).toFixed(1)}%`);
}
// Run benchmark
(async () => {
try {
await benchmarkIntervalQueries();
} catch (error) {
console.error('Benchmark error:', error);
}
})();
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// benchmark-pacbayes-vs-ann.js
// Benchmark comparing PACBayesInference vs PACBayesInferenceANN on realistic authorization queries
// Usage: node benchmark-pacbayes-vs-ann.js [big-graph-data.json]
import { performance } from 'perf_hooks';
import { Arbiter } from '../src/index.js';
import { PACBayesInference } from '../src/inference/PACBayesInference.js';
import { PACBayesInferenceANN } from '../src/inference/PACBayesInferenceANN.js';
import fs from 'fs';
import path from 'path';
import { fileURLToPath } from 'url';
const __filename = fileURLToPath(import.meta.url);
const __dirname = path.dirname(__filename);
function loadGraphFromFile(filename) {
const filePath = path.resolve(__dirname, filename);
if (!fs.existsSync(filePath)) {
return null;
}
const data = JSON.parse(fs.readFileSync(filePath, 'utf8'));
const arbiter = new Arbiter({
enableInference: true,
useOptimizedInference: true,
fastConstructionMode: true
});
// Add nodes
for (const node of data.nodes) {
arbiter.addNode(node.key, node.type || 'unknown', node);
}
// Add relations
for (const rel of data.relations) {
arbiter.addRelation(rel.src, rel.rel, rel.dst);
}
// Collect users and documents
const users = data.nodes.filter(n => n.type === 'user' || n.type === 'admin' || n.type === 'test_user' || n.key.startsWith('user:') || n.key.startsWith('admin:'));
const documents = data.nodes.filter(n => n.type === 'doc' || n.type === 'document' || n.key.startsWith('doc:'));
return { arbiter, users, documents, relations: data.relations };
}
// --- Fallback synthetic generator (for dev/testing) ---
class RealisticDataGenerator {
constructor() {
this.departments = ['engineering', 'sales', 'marketing', 'finance', 'hr', 'legal', 'operations'];
this.roles = ['intern', 'junior', 'senior', 'lead', 'manager', 'director', 'vp'];
this.clearanceLevels = ['public', 'internal', 'confidential', 'secret', 'top-secret'];
this.documentTypes = ['report', 'contract', 'proposal', 'specification', 'policy', 'manual'];
this.projects = ['alpha', 'beta', 'gamma', 'delta', 'epsilon', 'zeta', 'eta', 'theta'];
}
generateUsers(count) {
const users = [];
for (let i = 0; i < count; i++) {
const dept = this.departments[Math.floor(Math.random() * this.departments.length)];
const role = this.roles[Math.floor(Math.random() * this.roles.length)];
users.push({
key: `user:${dept}_${role}_${i}`,
department: dept,
role: role,
clearance: this.clearanceLevels[Math.floor(Math.random() * this.clearanceLevels.length)]
});
}
return users;
}
generateGroups(departments, roles) {
const groups = [];
departments.forEach(dept => {
groups.push({ key: `group:dept_${dept}`, type: 'department', name: dept });
});
roles.forEach(role => {
groups.push({ key: `group:role_${role}`, type: 'role', name: role });
});
this.projects.forEach(project => {
groups.push({ key: `group:project_${project}`, type: 'project', name: project });
});
['security_team', 'architecture_board', 'exec_team'].forEach(team => {
groups.push({ key: `group:${team}`, type: 'special', name: team });
});
return groups;
}
generateDocuments(count) {
const documents = [];
for (let i = 0; i < count; i++) {
const type = this.documentTypes[Math.floor(Math.random() * this.documentTypes.length)];
const classification = this.clearanceLevels[Math.floor(Math.random() * this.clearanceLevels.length)];
const project = this.projects[Math.floor(Math.random() * this.projects.length)];
const dept = this.departments[Math.floor(Math.random() * this.departments.length)];
documents.push({
key: `doc:${type}_${project}_${dept}_${i}`,
type: type,
classification: classification,
project: project,
department: dept
});
}
return documents;
}
}
function setupGraphFallback(scale = 'medium') {
const config = { users: 1000, docs: 5000 };
const generator = new RealisticDataGenerator();
const arbiter = new Arbiter({
enableInference: true,
useOptimizedInference: true,
fastConstructionMode: true
});
const users = generator.generateUsers(config.users);
const groups = generator.generateGroups(generator.departments, generator.roles);
const documents = generator.generateDocuments(config.docs);
users.forEach(user => arbiter.addNode(user.key, 'user', user));
groups.forEach(group => arbiter.addNode(group.key, 'group', group));
documents.forEach(doc => arbiter.addNode(doc.key, 'document', doc));
generator.clearanceLevels.forEach(level => {
arbiter.addNode(`clearance:${level}`, 'clearance', { level });
});
users.forEach(user => {
arbiter.addRelation(user.key, 'member_of', `group:dept_${user.department}`);
arbiter.addRelation(user.key, 'member_of', `group:role_${user.role}`);
arbiter.addRelation(user.key, 'has_clearance', `clearance:${user.clearance}`);
});
documents.forEach(doc => {
arbiter.addRelation(doc.key, 'classified_as', `clearance:${doc.classification}`);
});
return { arbiter, users, documents, relations: [...arbiter.relations] };
}
function recordObservedDecisions(engine, relations) {
if (!engine || typeof engine.recordDecision !== 'function') return;
for (const rel of relations) {
if (rel.rel === 'can_read') {
engine.recordDecision(rel.src, rel.rel, rel.dst, 'allow');
}
// Optionally: handle 'deny' if you have such relations
}
}
async function benchmarkEngine(name, InferenceClass, { arbiter, users, documents, relations }, opts = {}) {
arbiter.inferenceEngine = new InferenceClass(arbiter, opts);
recordObservedDecisions(arbiter.inferenceEngine, relations);
if (arbiter.embeddingManager) {
arbiter.embeddingManager.forceRegenerateEmbeddings();
if (arbiter.flatnav) arbiter.embeddingManager.ensureFlatNavIndex();
}
// Collect all can_read relations for sampling
const canReadRels = relations.filter(rel => rel.rel === 'can_read');
let totalTime = 0;
let totalCIWidth = 0;
let allowCount = 0;
let denyCount = 0;
let undeterminedCount = 0;
let truePositive = 0;
let falseNegative = 0;
let missed = 0;
const sampleResults = [];
const iterations = Math.min(1000, canReadRels.length);
// Remove direct can_read relations for the sampled queries
const removedRels = [];
for (let i = 0; i < iterations; i++) {
const rel = canReadRels[Math.floor(Math.random() * canReadRels.length)];
// Remove the direct relation from the graph
if (typeof arbiter.removeRelation === 'function') {
arbiter.removeRelation(rel.src, rel.rel, rel.dst);
removedRels.push(rel);
} else if (arbiter.relationManager && typeof arbiter.relationManager.removeRelation === 'function') {
arbiter.relationManager.removeRelation(rel.src, rel.rel, rel.dst);
removedRels.push(rel);
}
// Mark nodes as stale and refresh embeddings
if (arbiter.embeddingManager) {
arbiter.embeddingManager.markNodeStale(rel.src);
arbiter.embeddingManager.markNodeStale(rel.dst);
arbiter.embeddingManager.ensureFreshEmbedding(rel.src);
arbiter.embeddingManager.ensureFreshEmbedding(rel.dst);
if (arbiter.flatnav) arbiter.embeddingManager.ensureFlatNavIndex();
}
if (arbiter.inferenceEngine && typeof arbiter.inferenceEngine.invalidateFeatureSets === 'function') {
arbiter.inferenceEngine.invalidateFeatureSets();
}
const t0 = performance.now();
const result = await arbiter.check(rel.src, 'can_read', rel.dst);
const t1 = performance.now();
totalTime += (t1 - t0);
if (result && result.confidenceInterval) {
totalCIWidth += (result.confidenceInterval[1] - result.confidenceInterval[0]);
}
if (result && result.outcome === 'allow') {
allowCount++;
truePositive++;
} else if (result && result.outcome === 'deny') {
denyCount++;
falseNegative++;
} else {
undeterminedCount++;
missed++;
}
if (i < 5) sampleResults.push({src: rel.src, dst: rel.dst, outcome: result && result.outcome, probability: result && result.probability, ci: result && result.confidenceInterval});
}
// Optionally restore the removed relations (not strictly needed for benchmarking)
// for (const rel of removedRels) {
// arbiter.addRelation(rel.src, rel.rel, rel.dst);
// }
const avgLatency = totalTime / iterations;
const avgCIWidth = totalCIWidth / iterations;
const qps = iterations / (totalTime / 1000);
const accuracy = truePositive / iterations;
return {
name,
avgLatency: avgLatency.toFixed(3),
qps: Math.round(qps),
avgCIWidth: avgCIWidth.toFixed(3),
allowCount,
denyCount,
undeterminedCount,
truePositive,
falseNegative,
missed,
accuracy: accuracy,
sampleResults
};
}
(async function main() {
const graphFile = process.argv[2] || 'big-graph-data-medium.json';
let graph = loadGraphFromFile(graphFile);
if (graph) {
console.log(`📦 Loaded pregenerated graph from ${graphFile}`);
} else {
console.log('⚠️ Pregenerated graph not found, using fallback synthetic generator.');
graph = setupGraphFallback('medium');
}
const results = [];
results.push(await benchmarkEngine('PACBayesInference', PACBayesInference, graph));
results.push(await benchmarkEngine('PACBayesInferenceANN', PACBayesInferenceANN, graph, { useANN: true, annK: 100, annEfSearch: 200 }));
console.log('\nResults:');
console.log('Engine | Avg Latency (ms) | QPS | Avg CI Width | Allow | Deny | Undet');
console.log('-----------------------|------------------|-------|--------------|-------|------|-------');
for (const r of results) {
console.log(`${r.name.padEnd(23)} | ${r.avgLatency.padStart(16)} | ${r.qps.toString().padStart(5)} | ${r.avgCIWidth.padStart(12)} | ${r.allowCount.toString().padStart(5)} | ${r.denyCount.toString().padStart(4)} | ${r.undeterminedCount.toString().padStart(5)}`);
console.log(` Accuracy: ${(r.accuracy * 100).toFixed(2)}% | True Positives: ${r.truePositive} | False Negatives: ${r.falseNegative} | Missed: ${r.missed}`);
console.log(' Sample results:', r.sampleResults);
}
})();
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import { performance } from 'node:perf_hooks';
import { Arbiter } from '../src/core/Arbiter.js';
import { validateClaimsForLayer } from '../src/core/partial-graph/layer-registry.js';
function percentile(sorted, p) {
if (!sorted.length) return 0;
const idx = Math.min(sorted.length - 1, Math.max(0, Math.floor(sorted.length * p) - 1));
return sorted[idx];
}
function summarize(name, durations) {
const sorted = [...durations].sort((a, b) => a - b);
let total = 0;
for (let i = 0; i < durations.length; i++) total += durations[i];
const avg = total / durations.length;
const p95 = percentile(sorted, 0.95);
const p99 = percentile(sorted, 0.99);
console.log(`${name}: avg=${avg.toFixed(4)}ms p95=${p95.toFixed(4)}ms p99=${p99.toFixed(4)}ms`);
}
function runBenchmark(name, iterations, fn) {
const warmup = Math.min(1000, Math.max(100, Math.floor(iterations / 10)));
for (let i = 0; i < warmup; i++) fn();
const durations = new Array(iterations);
for (let i = 0; i < iterations; i++) {
const start = performance.now();
fn();
durations[i] = performance.now() - start;
}
summarize(name, durations);
}
function setupBusinessArbiter() {
const arbiter = new Arbiter({
partialGraphPolicy: {
conflict_mode: 'deterministic',
reducers: {
request_has_timestamp: 'latest',
caller_risk_hint: 'strongest'
}
}
});
arbiter.addNode('user:1', 'user');
arbiter.addNode('group:1', 'group');
arbiter.addNode('mid:1', 'intermediate');
arbiter.addNode('doc:1', 'document');
arbiter.addNode('feature:1', 'feature');
arbiter.addNode('value:1', 'value');
arbiter.setRelationConfig('request_has_timestamp', {
type: 'direct',
partial_graph: { reducer: 'latest' }
});
arbiter.setRelationConfig('caller_risk_hint', {
type: 'direct',
partial_graph: { reducer: 'strongest' }
});
arbiter.setRelationConfig('request_has_id', { type: 'direct' });
arbiter.setRelationConfig('can_chain', {
type: 'chain',
steps: [
{ relation: 'request_has_timestamp', direction: 'out' },
{ relation: 'caller_risk_hint', direction: 'out' }
]
});
arbiter.setRelationConfig('can_reach', {
type: 'multi_hop',
relation: 'caller_risk_hint',
maxDepth: 3
});
arbiter.setRelationConfig('can_access', {
type: 'tuple_to_userset',
tuplesetRelation: 'request_has_id',
computedRelation: 'request_has_timestamp',
reverse: false
});
arbiter.setRelationConfig('can_pay', {
type: 'relational_comparator',
left: {
rule: { type: 'direct', relation: 'request_has_timestamp' },
extractValue: true,
aggregation: 'max',
decayRate: 0,
decayFunction: 'rational'
},
right: {
rule: { type: 'direct', relation: 'request_has_id', evaluateFrom: 'object' },
extractValue: true,
aggregation: 'min',
decayRate: 0,
decayFunction: 'rational',
evaluateFrom: 'object'
},
comparator: '>=',
fallbackBehavior: 'deny'
});
arbiter.addRelation('group:1', 'caller_risk_hint', 'doc:1', 0.9);
arbiter.addRelation('feature:1', 'request_has_id', 'feature:1', { value: 50, possibility: 1 });
const partialGraph = {
options: {
reducers: {
request_has_timestamp: 'latest',
caller_risk_hint: 'strongest'
}
},
relations: [
{
src: 'user:1',
relation: 'request_has_timestamp',
dst: 'group:1',
possibility: 0.95,
value: 120,
updated_last_at: 100,
layer_name: 'request_observed',
source_class: 'gateway_observed'
},
{
src: 'user:1',
relation: 'request_has_timestamp',
dst: 'group:1',
possibility: 0.2,
value: 20,
updated_last_at: 200,
layer_name: 'request_observed',
source_class: 'gateway_observed'
},
{
src: 'group:1',
relation: 'caller_risk_hint',
dst: 'doc:1',
possibility: 0.8,
layer_name: 'caller_declared',
source_class: 'caller_input'
},
{
src: 'doc:1',
relation: 'request_has_id',
dst: 'group:1',
possibility: 1,
layer_name: 'request_observed'
},
{
src: 'user:1',
relation: 'request_has_timestamp',
dst: 'feature:1',
value: 20,
possibility: 1,
updated_last_at: 200,
layer_name: 'request_observed'
}
]
};
return { arbiter, partialGraph };
}
function run() {
const { arbiter, partialGraph } = setupBusinessArbiter();
const conformantClaims = [
{ relation: 'from_ip', object: 'ip:10.0.0.1' },
{ relation: 'request_has_id', object: 'request:abc' }
];
const nonConformantClaims = [
{ relation: 'delegated_authority', object: 'resource:x' }
];
console.log('Business operations benchmark');
runBenchmark('business.layer_conformance.accept', 15000, () => {
validateClaimsForLayer('request_observed', conformantClaims);
});
runBenchmark('business.layer_conformance.reject', 15000, () => {
validateClaimsForLayer('caller_declared', nonConformantClaims);
});
runBenchmark('business.partial_graph_policy.snapshot', 15000, () => {
arbiter.getPartialGraphPolicySnapshot();
});
runBenchmark('business.auth.direct_partial', 12000, () => {
arbiter.check('user:1', 'request_has_timestamp', 'group:1', { partialGraph });
});
runBenchmark('business.auth.chain_partial', 12000, () => {
arbiter.check('user:1', 'can_chain', 'doc:1', { partialGraph });
});
runBenchmark('business.auth.multi_hop_partial', 12000, () => {
arbiter.check('user:1', 'can_reach', 'doc:1', { partialGraph });
});
runBenchmark('business.auth.tuple_to_userset_partial', 12000, () => {
arbiter.check('user:1', 'can_access', 'doc:1', { partialGraph });
});
runBenchmark('business.auth.relational_comparator_partial', 12000, () => {
arbiter.check('user:1', 'can_pay', 'feature:1', { partialGraph });
});
runBenchmark('business.explain.chain_debug', 6000, () => {
arbiter.explain('user:1', 'can_chain', 'doc:1', {
partialGraph,
includeMeta: true,
collectValues: true
});
});
}
run();
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import { performance } from 'perf_hooks';
import { Arbiter } from '../src/index.js';
console.log('⛓️ ChainRule Performance Benchmark Analysis\n');
// Benchmark utilities
class ChainBenchmark {
constructor(name) {
this.name = name;
this.results = [];
this.labels = [];
}
async run(fn, iterations = 1000, label = '') {
// Warmup
for (let i = 0; i < Math.min(10, iterations / 10); i++) {
try {
await fn();
} catch (e) {
throw e;
}
}
// Actual benchmark
const times = [];
const totalStart = performance.now();
for (let i = 0; i < iterations; i++) {
try {
const start = performance.now();
await fn();
const end = performance.now();
times.push(end - start);
} catch (e) {
throw e;
}
}
const totalTime = performance.now() - totalStart;
const avg = times.reduce((a, b) => a + b, 0) / times.length;
const min = Math.min(...times);
const max = Math.max(...times);
const p50 = times.sort((a, b) => a - b)[Math.floor(times.length * 0.5)];
const p95 = times[Math.floor(times.length * 0.95)];
const p99 = times[Math.floor(times.length * 0.99)];
const qps = Math.round(iterations / (totalTime / 1000));
this.results.push({
avg: avg.toFixed(3),
min: min.toFixed(3),
max: max.toFixed(3),
p50: p50.toFixed(3),
p95: p95.toFixed(3),
p99: p99.toFixed(3),
qps: qps
});
this.labels.push(label);
return { avg, min, max, p50, p95, p99, qps };
}
report() {
console.log('Configuration | Avg (ms) | P50 (ms) | P95 (ms) | P99 (ms) | QPS | Speedup');
console.log('---------------------------------|----------|----------|----------|----------|---------|--------');
const baselineQPS = this.results[0].qps;
this.results.forEach((result, i) => {
const label = this.labels[i] || `Test ${i + 1}`;
const speedup = i === 0 ? '1.00x' : `${(result.qps / baselineQPS).toFixed(2)}x`;
console.log(`${label.padEnd(32)} | ${result.avg.padStart(8)} | ${result.p50.padStart(8)} | ${result.p95.padStart(8)} | ${result.p99.padStart(8)} | ${result.qps.toString().padStart(7)} | ${speedup.padStart(6)}`);
});
}
}
// Enterprise organizational data generator
function setupEnterpriseChainGraph(scale = 'medium') {
const scales = {
small: { users: 200, groups: 50, projects: 20, departments: 8, budgets: 100 },
medium: { users: 2000, groups: 200, projects: 100, departments: 15, budgets: 500 },
large: { users: 10000, groups: 1000, projects: 500, departments: 25, budgets: 2000 },
xlarge: { users: 20000, groups: 5000, projects: 2000, departments: 40, budgets: 8000 },
xxlarge: { users: 100000, groups: 10000, projects: 5000, departments: 50, budgets: 20000 }
};
const config = scales[scale];
console.log(`🏢 Setting up ${scale} enterprise graph: ${config.users} users, ${config.groups} groups, ${config.projects} projects`);
const arbiter = new Arbiter({
fastConstructionMode: true,
enableInference: false // Disable by default for clean baseline measurements
});
// Create organizational hierarchy: users → groups → departments → divisions → company
const entities = {
users: [],
groups: [],
departments: [],
divisions: ['engineering', 'sales', 'marketing', 'finance', 'operations'],
projects: [],
budgets: [],
resources: [],
facilities: []
};
// Generate users
for (let i = 0; i < config.users; i++) {
const userKey = `user:emp${i}`;
entities.users.push(userKey);
arbiter.addNode(userKey, 'user');
}
// Generate groups (teams within departments)
for (let i = 0; i < config.groups; i++) {
const groupKey = `group:team${i}`;
entities.groups.push(groupKey);
arbiter.addNode(groupKey, 'group');
}
// Generate departments
for (let i = 0; i < config.departments; i++) {
const deptKey = `dept:dept${i}`;
entities.departments.push(deptKey);
arbiter.addNode(deptKey, 'department');
}
// Generate divisions
entities.divisions.forEach(div => {
const divKey = `division:${div}`;
arbiter.addNode(divKey, 'division');
});
// Add company root
arbiter.addNode('company:acme', 'company');
// Generate projects
for (let i = 0; i < config.projects; i++) {
const projectKey = `project:proj${i}`;
entities.projects.push(projectKey);
arbiter.addNode(projectKey, 'project');
}
// Generate budgets with values
for (let i = 0; i < config.budgets; i++) {
const budgetKey = `budget:budget${i}`;
const value = Math.floor(Math.random() * 5000000) + 100000; // $100K to $5M
entities.budgets.push({ key: budgetKey, value });
arbiter.addNode(budgetKey, 'budget');
}
// Generate resources (servers, databases, etc.)
for (let i = 0; i < config.projects / 2; i++) {
const resourceKey = `resource:res${i}`;
const cost = Math.floor(Math.random() * 100000) + 5000; // $5K to $100K
entities.resources.push({ key: resourceKey, cost });
arbiter.addNode(resourceKey, 'resource');
}
// Generate facilities
const facilityNames = ['hq', 'east-office', 'west-office', 'remote', 'datacenter'];
facilityNames.forEach(name => {
const facilityKey = `facility:${name}`;
entities.facilities.push(facilityKey);
arbiter.addNode(facilityKey, 'facility');
});
console.log(' 🔗 Building organizational chains...');
// Build 5-level organizational hierarchy: user → group → department → division → company
// User → Group membership
entities.users.forEach(user => {
// Each user belongs to 1-3 groups
const groupCount = Math.floor(Math.random() * 3) + 1;
for (let i = 0; i < groupCount; i++) {
const group = entities.groups[Math.floor(Math.random() * entities.groups.length)];
arbiter.addRelation(user, 'member_of', group);
}
});
// Group → Department membership
entities.groups.forEach(group => {
const dept = entities.departments[Math.floor(Math.random() * entities.departments.length)];
arbiter.addRelation(group, 'belongs_to', dept);
});
// Department → Division membership
entities.departments.forEach(dept => {
const division = entities.divisions[Math.floor(Math.random() * entities.divisions.length)];
arbiter.addRelation(dept, 'part_of', `division:${division}`);
});
// Division → Company membership
entities.divisions.forEach(div => {
arbiter.addRelation(`division:${div}`, 'part_of', 'company:acme');
});
// Project chains: user → group → project → budget
entities.projects.forEach(project => {
// Projects owned by groups
const ownerGroup = entities.groups[Math.floor(Math.random() * entities.groups.length)];
arbiter.addRelation(ownerGroup, 'manages', project);
// Projects have budgets
const budget = entities.budgets[Math.floor(Math.random() * entities.budgets.length)];
arbiter.addRelation(project, 'has_budget', budget.key, { value: budget.value });
// Projects have resource costs
if (Math.random() < 0.7) {
const resource = entities.resources[Math.floor(Math.random() * entities.resources.length)];
arbiter.addRelation(project, 'uses_resource', resource.key, { cost: resource.cost });
}
});
// Facility chains: user → facility, department → facility
entities.users.forEach(user => {
const facility = entities.facilities[Math.floor(Math.random() * entities.facilities.length)];
arbiter.addRelation(user, 'located_in', facility);
});
entities.departments.forEach(dept => {
const facility = entities.facilities[Math.floor(Math.random() * entities.facilities.length)];
arbiter.addRelation(dept, 'operates_in', facility);
});
// Configure basic relation types
const relationTypes = [
'member_of', 'belongs_to', 'part_of', 'manages', 'has_budget',
'uses_resource', 'located_in', 'operates_in', 'can_access', 'has_permission'
];
relationTypes.forEach(rel => {
arbiter.setRelationConfig(rel, { type: 'direct' });
});
console.log(' ✅ Enterprise chain graph ready');
// Initialize PLTC for reachability checks
console.log(' ⚡ Initializing PLTC indices...');
const initStart = Date.now();
arbiter.graphManager.initializeReachabilityChecker();
const initTime = Date.now() - initStart;
console.log(` ✅ PLTC initialized in ${initTime}ms`);
return { arbiter, ...entities };
}
// Benchmark 1: Chain Length Performance
async function benchmarkChainLength() {
console.log('📏 Benchmark 1: Chain Length Performance Impact\n');
const graph = setupEnterpriseChainGraph('medium');
const benchmark = new ChainBenchmark('Chain Length Performance');
// Baseline: Direct access (no chain)
graph.arbiter.setRelationConfig('direct_access', {
type: 'direct',
relation: 'can_access'
});
// Create a substantial number of direct access relations for realistic testing
// Instead of 100 random relations, create relations for every user to some projects
const directAccessPairs = [];
graph.users.forEach((user, i) => {
// Each user has direct access to 1-3 projects
const numProjects = Math.floor(Math.random() * 3) + 1;
for (let j = 0; j < numProjects; j++) {
const project = graph.projects[(i * 7 + j) % graph.projects.length]; // Deterministic but spread out
graph.arbiter.addRelation(user, 'can_access', project);
directAccessPairs.push({ user, project });
}
});
console.log(` ✅ Created ${directAccessPairs.length} direct access relations (${(directAccessPairs.length / (graph.users.length * graph.projects.length) * 100).toFixed(1)}% coverage)`);
await benchmark.run(() => {
// Test EXISTING relations for accurate performance measurement
const pair = directAccessPairs[Math.floor(Math.random() * directAccessPairs.length)];
return graph.arbiter.check(pair.user, 'direct_access', pair.project, { noInfer: true });
}, 1000, 'Direct Access (baseline)');
// 2-step chain: user → group → project
graph.arbiter.setRelationConfig('chain_2_step', {
type: 'chain',
steps: [
{ relation: 'member_of', direction: 'out' },
{ relation: 'manages', direction: 'out' }
]
});
// Build collection of valid 2-step chain paths for testing
const validChain2Paths = [];
graph.users.forEach(user => {
// Find groups this user belongs to
const userGroups = graph.arbiter.relationManager.getRelationsFromSrc(user, 'member_of');
userGroups.forEach(groupRel => {
// Find projects this group manages
const groupProjects = graph.arbiter.relationManager.getRelationsFromSrc(groupRel.object, 'manages');
groupProjects.forEach(projectRel => {
validChain2Paths.push({ user, project: projectRel.object });
});
});
});
console.log(` ✅ Found ${validChain2Paths.length} valid 2-step chain paths (user→group→project)`);
await benchmark.run(() => {
// Test EXISTING chain paths for accurate performance measurement
if (validChain2Paths.length === 0) {
// Fallback to random if no valid paths found
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const project = graph.projects[Math.floor(Math.random() * graph.projects.length)];
return graph.arbiter.check(user, 'chain_2_step', project, { noInfer: true });
} else {
const path = validChain2Paths[Math.floor(Math.random() * validChain2Paths.length)];
return graph.arbiter.check(path.user, 'chain_2_step', path.project, { noInfer: true });
}
}, 1000, '2-Step Chain (user→group→project)');
// 3-step chain: user → group → department → division
graph.arbiter.setRelationConfig('chain_3_step', {
type: 'chain',
steps: [
{ relation: 'member_of', direction: 'out' },
{ relation: 'belongs_to', direction: 'out' },
{ relation: 'part_of', direction: 'out' }
]
});
// Build collection of valid 3-step chain paths for testing
const validChain3Paths = [];
graph.users.forEach(user => {
// Find groups this user belongs to
const userGroups = graph.arbiter.relationManager.getRelationsFromSrc(user, 'member_of');
userGroups.forEach(groupRel => {
// Find departments this group belongs to
const groupDepts = graph.arbiter.relationManager.getRelationsFromSrc(groupRel.object, 'belongs_to');
groupDepts.forEach(deptRel => {
// Find divisions this department is part of
const deptDivisions = graph.arbiter.relationManager.getRelationsFromSrc(deptRel.object, 'part_of');
deptDivisions.forEach(divisionRel => {
validChain3Paths.push({ user, division: divisionRel.object });
});
});
});
});
console.log(` ✅ Found ${validChain3Paths.length} valid 3-step chain paths (user→group→dept→division)`);
await benchmark.run(() => {
// Test EXISTING chain paths for accurate performance measurement
if (validChain3Paths.length === 0) {
// Fallback to random if no valid paths found
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const division = graph.divisions[Math.floor(Math.random() * graph.divisions.length)];
return graph.arbiter.check(user, 'chain_3_step', `division:${division}`, { noInfer: true });
} else {
const path = validChain3Paths[Math.floor(Math.random() * validChain3Paths.length)];
return graph.arbiter.check(path.user, 'chain_3_step', path.division, { noInfer: true });
}
}, 1000, '3-Step Chain (user→group→dept→division)');
// 4-step chain: user → group → project → budget → facility (create a valid 4-step path)
// First add budget→facility relationships to create valid 4-step chains
graph.budgets.forEach(budget => {
const facility = graph.facilities[Math.floor(Math.random() * graph.facilities.length)];
graph.arbiter.addRelation(budget.key, 'allocated_to', facility);
});
graph.arbiter.setRelationConfig('allocated_to', { type: 'direct' });
graph.arbiter.setRelationConfig('chain_4_step', {
type: 'chain',
steps: [
{ relation: 'member_of', direction: 'out' }, // user → group
{ relation: 'manages', direction: 'out' }, // group → project
{ relation: 'has_budget', direction: 'out' }, // project → budget
{ relation: 'allocated_to', direction: 'out' } // budget → facility
]
});
await benchmark.run(() => {
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const facility = graph.facilities[Math.floor(Math.random() * graph.facilities.length)];
return graph.arbiter.check(user, 'chain_4_step', facility, { noInfer: true });
}, 1000, '4-Step Chain (user→group→project→budget→facility)');
// 5-step chain: user → group → department → division → company → facility
// Add company→facility relationship for valid 5-step chain
graph.facilities.forEach(facility => {
graph.arbiter.addRelation('company:acme', 'operates', facility);
});
graph.arbiter.setRelationConfig('operates', { type: 'direct' });
graph.arbiter.setRelationConfig('chain_5_step', {
type: 'chain',
steps: [
{ relation: 'member_of', direction: 'out' }, // user → group
{ relation: 'belongs_to', direction: 'out' }, // group → department
{ relation: 'part_of', direction: 'out' }, // department → division
{ relation: 'part_of', direction: 'out' }, // division → company
{ relation: 'operates', direction: 'out' } // company → facility
]
});
await benchmark.run(() => {
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const facility = graph.facilities[Math.floor(Math.random() * graph.facilities.length)];
return graph.arbiter.check(user, 'chain_5_step', facility, { noInfer: true });
}, 1000, '5-Step Chain (user→group→dept→div→company→facility)');
benchmark.report();
}
// Benchmark 2: ChainRule vs Traditional Approaches
async function benchmarkVsTraditional() {
console.log('⚔️ Benchmark 2: ChainRule vs Traditional Authorization\n');
const graph = setupEnterpriseChainGraph('medium');
const benchmark = new ChainBenchmark('ChainRule vs Traditional');
// Traditional ParentRule approach
graph.arbiter.setRelationConfig('traditional_parent', {
type: 'parent',
parentRelation: 'manages',
relation: 'member_of'
});
await benchmark.run(() => {
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const project = graph.projects[Math.floor(Math.random() * graph.projects.length)];
return graph.arbiter.check(user, 'traditional_parent', project, { noInfer: true });
}, 1000, 'ParentRule (baseline)');
// Equivalent ChainRule approach
graph.arbiter.setRelationConfig('chain_equivalent', {
type: 'chain',
steps: [
{ relation: 'member_of', direction: 'out' },
{ relation: 'manages', direction: 'out' }
]
});
await benchmark.run(() => {
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const project = graph.projects[Math.floor(Math.random() * graph.projects.length)];
return graph.arbiter.check(user, 'chain_equivalent', project, { noInfer: true });
}, 1000, 'ChainRule (equivalent logic)');
// MultiHopRule approach
graph.arbiter.setRelationConfig('multihop_approach', {
type: 'multi_hop',
relation: 'member_of',
maxDepth: 3,
pathAggregation: 'max'
});
await benchmark.run(() => {
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const project = graph.projects[Math.floor(Math.random() * graph.projects.length)];
return graph.arbiter.check(user, 'multihop_approach', project, { noInfer: true });
}, 1000, 'MultiHopRule (flexible paths)');
// ChainRule with reverse direction
graph.arbiter.setRelationConfig('chain_reverse', {
type: 'chain',
steps: [
{ relation: 'manages', direction: 'in' },
{ relation: 'member_of', direction: 'in' }
]
});
await benchmark.run(() => {
const project = graph.projects[Math.floor(Math.random() * graph.projects.length)];
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
return graph.arbiter.check(project, 'chain_reverse', user, { noInfer: true });
}, 1000, 'ChainRule (reverse direction)');
benchmark.report();
}
// Benchmark 3: Value Extraction Performance
async function benchmarkValueExtraction() {
console.log('💰 Benchmark 3: Value Extraction Performance\n');
const graph = setupEnterpriseChainGraph('medium');
const benchmark = new ChainBenchmark('Value Extraction Performance');
// Chain without value extraction (baseline)
graph.arbiter.setRelationConfig('chain_no_values', {
type: 'chain',
steps: [
{ relation: 'member_of', direction: 'out' },
{ relation: 'manages', direction: 'out' },
{ relation: 'has_budget', direction: 'out' }
]
});
await benchmark.run(() => {
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const budget = graph.budgets[Math.floor(Math.random() * graph.budgets.length)];
return graph.arbiter.check(user, 'chain_no_values', budget.key);
}, 1000, 'Chain (no value extraction)');
// Chain with value extraction - SUM aggregation
graph.arbiter.setRelationConfig('chain_sum_values', {
type: 'chain',
steps: [
{ relation: 'member_of', direction: 'out' },
{ relation: 'manages', direction: 'out' },
{ relation: 'has_budget', direction: 'out' }
],
extractValues: true,
extractFrom: 2,
extractRelation: 'has_budget',
valueAggregation: 'sum'
});
await benchmark.run(() => {
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const budget = graph.budgets[Math.floor(Math.random() * graph.budgets.length)];
return graph.arbiter.check(user, 'chain_sum_values', budget.key);
}, 1000, 'Chain with SUM aggregation');
// Chain with value extraction - MAX aggregation
graph.arbiter.setRelationConfig('chain_max_values', {
type: 'chain',
steps: [
{ relation: 'member_of', direction: 'out' },
{ relation: 'manages', direction: 'out' },
{ relation: 'has_budget', direction: 'out' }
],
extractValues: true,
extractFrom: 2,
extractRelation: 'has_budget',
valueAggregation: 'max'
});
await benchmark.run(() => {
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const budget = graph.budgets[Math.floor(Math.random() * graph.budgets.length)];
return graph.arbiter.check(user, 'chain_max_values', budget.key);
}, 1000, 'Chain with MAX aggregation');
// Chain with value extraction - MIN aggregation
graph.arbiter.setRelationConfig('chain_min_values', {
type: 'chain',
steps: [
{ relation: 'member_of', direction: 'out' },
{ relation: 'manages', direction: 'out' },
{ relation: 'has_budget', direction: 'out' }
],
extractValues: true,
extractFrom: 2,
extractRelation: 'has_budget',
valueAggregation: 'min'
});
await benchmark.run(() => {
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const budget = graph.budgets[Math.floor(Math.random() * graph.budgets.length)];
return graph.arbiter.check(user, 'chain_min_values', budget.key);
}, 1000, 'Chain with MIN aggregation');
// Chain with OWA fusion aggregation
graph.arbiter.setRelationConfig('chain_owa_values', {
type: 'chain',
steps: [
{ relation: 'member_of', direction: 'out' },
{ relation: 'manages', direction: 'out' },
{ relation: 'has_budget', direction: 'out' }
],
extractValues: true,
extractFrom: 2,
extractRelation: 'has_budget',
valueAggregation: 'optimistic',
owaWeights: [0.7, 0.5, 0.3, 0.1]
});
await benchmark.run(() => {
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const budget = graph.budgets[Math.floor(Math.random() * graph.budgets.length)];
return graph.arbiter.check(user, 'chain_owa_values', budget.key);
}, 1000, 'Chain with OWA aggregation');
benchmark.report();
}
// Benchmark 4: Direction and Pattern Performance
async function benchmarkDirectionPatterns() {
console.log('🧭 Benchmark 4: Chain Direction and Pattern Performance\n');
const graph = setupEnterpriseChainGraph('medium');
const benchmark = new ChainBenchmark('Direction and Pattern Performance');
// Forward chain (baseline)
graph.arbiter.setRelationConfig('forward_chain', {
type: 'chain',
steps: [
{ relation: 'member_of', direction: 'out' },
{ relation: 'belongs_to', direction: 'out' },
{ relation: 'part_of', direction: 'out' }
]
});
await benchmark.run(() => {
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const division = graph.divisions[Math.floor(Math.random() * graph.divisions.length)];
return graph.arbiter.check(user, 'forward_chain', `division:${division}`);
}, 1000, 'Forward Chain (baseline)');
// Backward chain
graph.arbiter.setRelationConfig('backward_chain', {
type: 'chain',
steps: [
{ relation: 'part_of', direction: 'in' },
{ relation: 'belongs_to', direction: 'in' },
{ relation: 'member_of', direction: 'in' }
]
});
await benchmark.run(() => {
const division = graph.divisions[Math.floor(Math.random() * graph.divisions.length)];
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
return graph.arbiter.check(`division:${division}`, 'backward_chain', user);
}, 1000, 'Backward Chain');
// Mixed direction chain
graph.arbiter.setRelationConfig('mixed_chain', {
type: 'chain',
steps: [
{ relation: 'member_of', direction: 'out' }, // user → group
{ relation: 'belongs_to', direction: 'in' }, // group ← department
{ relation: 'operates_in', direction: 'out' } // department → facility
]
});
await benchmark.run(() => {
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const facility = graph.facilities[Math.floor(Math.random() * graph.facilities.length)];
return graph.arbiter.check(user, 'mixed_chain', facility);
}, 1000, 'Mixed Direction Chain');
// Parallel chains pattern (testing multiple chain endpoints)
graph.arbiter.setRelationConfig('parallel_chains', {
union: [
{
type: 'chain',
steps: [
{ relation: 'member_of', direction: 'out' },
{ relation: 'manages', direction: 'out' }
]
},
{
type: 'chain',
steps: [
{ relation: 'located_in', direction: 'out' },
{ relation: 'operates_in', direction: 'in' },
{ relation: 'belongs_to', direction: 'in' },
{ relation: 'manages', direction: 'out' }
]
}
]
});
await benchmark.run(() => {
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const project = graph.projects[Math.floor(Math.random() * graph.projects.length)];
return graph.arbiter.check(user, 'parallel_chains', project);
}, 1000, 'Parallel Chains (Union)');
benchmark.report();
}
// Benchmark 5: ChainRule with Inference
async function benchmarkChainInference() {
console.log('🧠 Benchmark 5: ChainRule with Inference Integration\n');
const graph = setupEnterpriseChainGraph('small'); // Smaller graph for inference
const benchmark = new ChainBenchmark('ChainRule Inference Performance');
// Remove some relationships to create inference opportunities
const relationships = [];
for (let i = 0; i < 50; i++) {
const user = graph.users[i];
const group = graph.groups[Math.floor(Math.random() * Math.min(20, graph.groups.length))];
relationships.push({ user, group });
graph.arbiter.relationManager.removeRelation(user, 'member_of', group);
}
// Chain without inference (baseline)
graph.arbiter.setRelationConfig('chain_no_inference', {
type: 'chain',
steps: [
{ relation: 'member_of', direction: 'out' },
{ relation: 'manages', direction: 'out' }
],
allowInference: false
});
await benchmark.run(() => {
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const project = graph.projects[Math.floor(Math.random() * graph.projects.length)];
return graph.arbiter.check(user, 'chain_no_inference', project, { noInfer: true });
}, 500, 'Chain (no inference)');
// Chain with basic inference
graph.arbiter.setRelationConfig('chain_basic_inference', {
type: 'chain',
steps: [
{ relation: 'member_of', direction: 'out' },
{ relation: 'manages', direction: 'out' }
],
allowInference: true
});
await benchmark.run(() => {
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const project = graph.projects[Math.floor(Math.random() * graph.projects.length)];
return graph.arbiter.check(user, 'chain_basic_inference', project);
}, 500, 'Chain (basic inference)');
// Chain with inference and reliability threshold
graph.arbiter.setRelationConfig('chain_reliable_inference', {
type: 'chain',
steps: [
{ relation: 'member_of', direction: 'out' },
{ relation: 'manages', direction: 'out' }
],
allowInference: true,
minReliability: 0.7
});
await benchmark.run(() => {
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const project = graph.projects[Math.floor(Math.random() * graph.projects.length)];
return graph.arbiter.check(user, 'chain_reliable_inference', project);
}, 500, 'Chain (high reliability inference)');
benchmark.report();
}
// Benchmark 7: Real-World Enterprise Scenarios
async function benchmarkEnterpriseScenarios() {
console.log('🏢 Benchmark 7: Real-World Enterprise Authorization Scenarios\n');
const graph = setupEnterpriseChainGraph('medium');
const benchmark = new ChainBenchmark('Enterprise Scenarios');
// Scenario 1: Budget Authorization (user → group → project → budget >= threshold)
graph.arbiter.setRelationConfig('budget_authorization', {
type: 'relational_comparator',
leftOperand: {
rule: {
type: 'chain',
steps: [
{ relation: 'member_of', direction: 'out' },
{ relation: 'manages', direction: 'out' },
{ relation: 'has_budget', direction: 'out' }
],
extractValues: true,
extractFrom: 2,
extractRelation: 'has_budget',
valueAggregation: 'sum'
},
extractValue: true
},
rightOperand: {
rule: { type: 'direct', relation: 'has_value' },
extractValue: true
},
comparator: '>=',
fallbackBehavior: 'deny'
});
// Add budget thresholds
for (let i = 0; i < 50; i++) {
const threshold = Math.floor(Math.random() * 1000000) + 50000;
graph.arbiter.addRelation(`threshold:${i}`, 'has_value', `value:${threshold}`, { value: threshold });
}
await benchmark.run(() => {
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const threshold = `threshold:${Math.floor(Math.random() * 50)}`;
return graph.arbiter.check(user, 'budget_authorization', threshold);
}, 500, 'Budget Authorization Chain');
// Scenario 2: Facility Access (user → department → facility)
graph.arbiter.setRelationConfig('facility_access', {
type: 'chain',
steps: [
{ relation: 'member_of', direction: 'out' },
{ relation: 'belongs_to', direction: 'out' },
{ relation: 'operates_in', direction: 'out' }
]
});
await benchmark.run(() => {
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const facility = graph.facilities[Math.floor(Math.random() * graph.facilities.length)];
return graph.arbiter.check(user, 'facility_access', facility);
}, 1000, 'Facility Access Chain');
// Scenario 3: Resource Approval (user → group → project → resource)
graph.arbiter.setRelationConfig('resource_approval', {
type: 'chain',
steps: [
{ relation: 'member_of', direction: 'out' },
{ relation: 'manages', direction: 'out' },
{ relation: 'uses_resource', direction: 'out' }
]
});
await benchmark.run(() => {
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const resource = graph.resources[Math.floor(Math.random() * graph.resources.length)];
return graph.arbiter.check(user, 'resource_approval', resource.key);
}, 1000, 'Resource Approval Chain');
// Scenario 4: Cross-Division Access (complex multi-step authorization)
graph.arbiter.setRelationConfig('cross_division_access', {
union: [
{
type: 'chain',
steps: [
{ relation: 'member_of', direction: 'out' },
{ relation: 'belongs_to', direction: 'out' },
{ relation: 'part_of', direction: 'out' }
]
},
{
type: 'chain',
steps: [
{ relation: 'located_in', direction: 'out' },
{ relation: 'operates_in', direction: 'in' },
{ relation: 'part_of', direction: 'out' }
]
}
]
});
await benchmark.run(() => {
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const division = graph.divisions[Math.floor(Math.random() * graph.divisions.length)];
return graph.arbiter.check(user, 'cross_division_access', `division:${division}`);
}, 1000, 'Cross-Division Access (Union)');
benchmark.report();
}
// Main benchmark runner
async function runChainRuleBenchmarks() {
console.log('🚀 Starting ChainRule Performance Benchmarks...\n');
try {
await benchmarkChainLength();
await benchmarkVsTraditional();
await benchmarkValueExtraction();
await benchmarkDirectionPatterns();
await benchmarkChainInference();
await benchmarkEnterpriseScenarios();
console.log('\n✅ All ChainRule benchmarks completed successfully!');
console.log('\n🚀 X-LARGE SCALE BENCHMARKS (xlarge)');
await benchmarkChainLengthScale('xlarge', 100);
await benchmarkVsTraditionalScale('xlarge', 100);
console.log('\n🚀 XX-LARGE SCALE BENCHMARKS (xxlarge)');
await benchmarkChainLengthScale('xxlarge', 50);
await benchmarkVsTraditionalScale('xxlarge', 50);
} catch (error) {
console.error('❌ Benchmark failed:', error);
process.exit(1);
}
}
// Run if this file is executed directly
if (import.meta.url === `file://${process.argv[1]}`) {
runChainRuleBenchmarks();
}
export { runChainRuleBenchmarks };
// Add helper functions for large scale runs:
async function benchmarkChainLengthScale(scale, iterations) {
console.log(`\n📏 [${scale.toUpperCase()}] Chain Length Performance Impact`);
const graph = setupEnterpriseChainGraph(scale);
const benchmark = new ChainBenchmark(`Chain Length Performance (${scale})`);
// Baseline: Direct access (no chain)
graph.arbiter.setRelationConfig('direct_access', {
type: 'direct',
relation: 'can_access'
});
const directAccessPairs = [];
graph.users.forEach((user, i) => {
const numProjects = Math.floor(Math.random() * 3) + 1;
for (let j = 0; j < numProjects; j++) {
const project = graph.projects[(i * 7 + j) % graph.projects.length];
graph.arbiter.addRelation(user, 'can_access', project);
directAccessPairs.push({ user, project });
}
});
await benchmark.run(() => {
const pair = directAccessPairs[Math.floor(Math.random() * directAccessPairs.length)];
return graph.arbiter.check(pair.user, 'direct_access', pair.project, { noInfer: true });
}, iterations, 'Direct Access (baseline)');
// 2-step chain
graph.arbiter.setRelationConfig('chain_2_step', {
type: 'chain',
steps: [
{ relation: 'member_of', direction: 'out' },
{ relation: 'manages', direction: 'out' }
]
});
await benchmark.run(() => {
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const project = graph.projects[Math.floor(Math.random() * graph.projects.length)];
return graph.arbiter.check(user, 'chain_2_step', project, { noInfer: true });
}, iterations, '2-Step Chain (user→group→project)');
benchmark.report();
}
async function benchmarkVsTraditionalScale(scale, iterations) {
console.log(`\n⚔️ [${scale.toUpperCase()}] ChainRule vs Traditional Authorization`);
const graph = setupEnterpriseChainGraph(scale);
const benchmark = new ChainBenchmark(`ChainRule vs Traditional (${scale})`);
// Traditional ParentRule approach
graph.arbiter.setRelationConfig('traditional_parent', {
type: 'parent',
parentRelation: 'manages',
relation: 'member_of'
});
await benchmark.run(() => {
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const project = graph.projects[Math.floor(Math.random() * graph.projects.length)];
return graph.arbiter.check(user, 'traditional_parent', project, { noInfer: true });
}, iterations, 'ParentRule (baseline)');
// Equivalent ChainRule approach
graph.arbiter.setRelationConfig('chain_equivalent', {
type: 'chain',
steps: [
{ relation: 'member_of', direction: 'out' },
{ relation: 'manages', direction: 'out' }
]
});
await benchmark.run(() => {
const user = graph.users[Math.floor(Math.random() * graph.users.length)];
const project = graph.projects[Math.floor(Math.random() * graph.projects.length)];
return graph.arbiter.check(user, 'chain_equivalent', project, { noInfer: true });
}, iterations, 'ChainRule (equivalent logic)');
benchmark.report();
}
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import { CondensedGraph } from '../src/core/CondensedGraph.js';
import { performance } from 'node:perf_hooks';
function parseArgs(argv) {
const args = new Map();
for (let i = 2; i < argv.length; i++) {
const value = argv[i];
if (!value.startsWith('--')) continue;
const [key, inline] = value.slice(2).split('=');
if (inline !== undefined) {
args.set(key, inline);
continue;
}
const next = argv[i + 1];
if (next && !next.startsWith('--')) {
args.set(key, next);
i++;
} else {
args.set(key, true);
}
}
return args;
}
const args = parseArgs(process.argv);
const edges = Number(args.get('edges') || 200000);
const users = Number(args.get('users') || 10000);
const docs = Number(args.get('docs') || 50000);
const queryCount = Number(args.get('queries') || 10000);
console.log('CondensedGraph load bench');
console.log(` edges: ${edges}`);
console.log(` users: ${users}`);
console.log(` docs: ${docs}`);
console.log(` queries: ${queryCount}`);
const graph = new CondensedGraph();
const buildStart = performance.now();
for (let i = 0; i < edges; i++) {
graph.addEdge(
`user:${i % users}`,
['owner', 'editor', 'viewer'][i % 3],
`doc:${i % docs}`
);
}
const buildTime = performance.now() - buildStart;
const finalizeStart = performance.now();
graph.finalizePerfectHash();
graph.finalizeWaveletAdjacency({ dropAdjacencyList: true });
const finalizeTime = performance.now() - finalizeStart;
const serializeStart = performance.now();
const buffer = graph.toBinary();
const serializeTime = performance.now() - serializeStart;
const heapBeforeLoad = process.memoryUsage().heapUsed;
const loadStart = performance.now();
const loaded = CondensedGraph.fromBinary(buffer);
const loadTime = performance.now() - loadStart;
const heapAfterLoad = process.memoryUsage().heapUsed;
const usersArr = Array.from({ length: users }, (_, i) => `user:${i}`);
const docsArr = Array.from({ length: docs }, (_, i) => `doc:${i}`);
const queryStart = performance.now();
let hits = 0;
for (let i = 0; i < queryCount; i++) {
const user = usersArr[i % users];
const doc = docsArr[i % docs];
const owner = loaded.findEdge(user, 'owner', doc);
const editor = loaded.findEdge(user, 'editor', doc);
const viewer = loaded.findEdge(user, 'viewer', doc);
if (owner !== null || editor !== null || viewer !== null) hits++;
}
const queryTime = performance.now() - queryStart;
const heapAfterQueries = process.memoryUsage().heapUsed;
const stats = loaded.getStats();
const bufferBytes = buffer.byteLength;
const heapDeltaLoadBytes = heapAfterLoad - heapBeforeLoad;
const heapDeltaQueryBytes = heapAfterQueries - heapAfterLoad;
const toMb = (bytes) => (bytes / 1024 / 1024).toFixed(2);
console.log('\nResults');
console.log(` build time: ${buildTime.toFixed(2)} ms`);
console.log(` finalize time: ${finalizeTime.toFixed(2)} ms`);
console.log(` serialize time: ${serializeTime.toFixed(2)} ms`);
console.log(` load time: ${loadTime.toFixed(2)} ms`);
console.log(` snapshot size: ${(bufferBytes / 1024 / 1024).toFixed(2)} MB`);
console.log(` heap delta (load): ${toMb(heapDeltaLoadBytes)} MB`);
console.log(` heap delta (post-query): ${toMb(heapDeltaQueryBytes)} MB`);
console.log(` bytes/edge (snapshot): ${(bufferBytes / edges).toFixed(2)}`);
console.log(` stats bytes/edge: ${stats.bytesPerEdge.toFixed(2)}`);
console.log(` query time: ${queryTime.toFixed(2)} ms`);
console.log(` avg query: ${(queryTime / queryCount * 1000).toFixed(3)} µs`);
console.log(` queries/sec: ${(queryCount / (queryTime / 1000)).toFixed(0)}`);
console.log(` hits: ${hits}`);
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import { performance } from 'node:perf_hooks';
import { Arbiter } from '../src/core/Arbiter.js';
import { PartialGraphContext } from '../src/core/PartialGraphContext.js';
import { validateClaimsForLayer } from '../src/core/partial-graph/layer-registry.js';
function percentile(sorted, p) {
if (!sorted.length) return 0;
const idx = Math.min(sorted.length - 1, Math.max(0, Math.floor(sorted.length * p) - 1));
return sorted[idx];
}
function summarize(name, durations) {
const sorted = [...durations].sort((a, b) => a - b);
const avg = durations.reduce((a, b) => a + b, 0) / durations.length;
const p95 = percentile(sorted, 0.95);
const p99 = percentile(sorted, 0.99);
console.log(`${name}: avg=${avg.toFixed(4)}ms p95=${p95.toFixed(4)}ms p99=${p99.toFixed(4)}ms`);
}
function benchmarkLayerRegistry(iterations = 20000) {
const claims = [
{ relation: 'delegated_authority', object: 'resource:alpha:item:1', ttl_seconds: 60 },
{ relation: 'workflow_step', object: 'workflow:loan:step:2', ttl_seconds: 60 }
];
const durations = [];
for (let i = 0; i < iterations; i++) {
const start = performance.now();
validateClaimsForLayer('workflow_overlay', claims, ['delegated_authority', 'workflow_step']);
durations.push(performance.now() - start);
}
summarize('layer_registry.validate', durations);
}
function benchmarkPartialGraphLookup(iterations = 20000) {
const arbiter = new Arbiter();
arbiter.addNode('user:1', 'user');
arbiter.addNode('doc:1', 'doc');
const context = new PartialGraphContext(arbiter, {
relations: [{ src: 'user:1', relation: 'can_read', dst: 'doc:1', possibility: 1.0 }]
});
const srcId = context.nodeIdByKey.get('user:1');
const dstId = context.nodeIdByKey.get('doc:1');
const durations = [];
for (let i = 0; i < iterations; i++) {
const start = performance.now();
context.getDirectRelation(srcId, 'can_read', dstId);
durations.push(performance.now() - start);
}
summarize('partial_graph_context.get_direct_relation', durations);
}
function benchmarkArbiterCheck(iterations = 10000) {
const arbiter = new Arbiter();
arbiter.addNode('user:1', 'user');
arbiter.addNode('doc:1', 'doc');
arbiter.setRelationConfig('can_read', { type: 'direct' });
arbiter.addRelation('user:1', 'can_read', 'doc:1', 1.0);
const durations = [];
for (let i = 0; i < iterations; i++) {
const start = performance.now();
arbiter.check('user:1', 'can_read', 'doc:1');
durations.push(performance.now() - start);
}
summarize('arbiter.check_direct', durations);
}
console.log('Core performance benchmark');
benchmarkLayerRegistry();
benchmarkPartialGraphLookup();
benchmarkArbiterCheck();
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import { Arbiter } from '../src/core/Arbiter.js';
function parseArgs(argv) {
const args = new Map();
for (let i = 2; i < argv.length; i++) {
const value = argv[i];
if (!value.startsWith('--')) continue;
const [key, inline] = value.slice(2).split('=');
if (inline !== undefined) {
args.set(key, inline);
continue;
}
const next = argv[i + 1];
if (next && !next.startsWith('--')) {
args.set(key, next);
i++;
} else {
args.set(key, true);
}
}
return args;
}
function parseSizes(value) {
if (!value) return null;
return value.split(',').map(item => Number(item.trim())).filter(Number.isFinite);
}
function createRng(seed) {
let state = seed >>> 0;
return () => {
state = (1664525 * state + 1013904223) >>> 0;
return state / 0x100000000;
};
}
function randInt(rng, max) {
return Math.floor(rng() * max);
}
function measure(label, iterations, fn) {
const start = process.hrtime.bigint();
for (let i = 0; i < iterations; i++) {
fn(i);
}
const elapsedMs = Number(process.hrtime.bigint() - start) / 1e6;
return { label, elapsedMs, qps: elapsedMs > 0 ? Math.round((iterations / elapsedMs) * 1000) : 0 };
}
function buildNodes(arbiter, size, prefix) {
for (let i = 0; i < size; i++) {
arbiter.addNode(`${prefix}:${i}`, prefix);
}
}
const args = parseArgs(process.argv);
const config = {
sizes: parseSizes(args.get('sizes')) || [10000, 40000, 80000],
samples: Number(args.get('samples') || 200000),
seed: Number(args.get('seed') || 42),
maxSeconds: Number(args.get('max-seconds') || 60)
};
const rng = createRng(config.seed);
const startTime = Date.now();
console.log('edge_mutation_bench');
console.log('size,edges,metric,elapsed_ms,qps');
for (const size of config.sizes) {
if ((Date.now() - startTime) / 1000 > config.maxSeconds) break;
const arbiter = new Arbiter();
buildNodes(arbiter, size, 'user');
buildNodes(arbiter, size, 'resource');
arbiter.setRelationConfig('link', { type: 'direct' });
arbiter.setRelationConfig('link_add', { type: 'direct' });
const currentDst = new Array(size);
for (let i = 0; i < size; i++) {
arbiter.addRelation(`user:${i}`, 'link', `resource:${i}`);
currentDst[i] = i;
}
const addCount = Math.min(config.samples, size);
const addPairs = new Array(addCount);
for (let i = 0; i < addCount; i++) {
addPairs[i] = {
src: i % size,
dst: (i * 7) % size
};
}
const updateOps = new Array(config.samples);
for (let i = 0; i < config.samples; i++) {
const src = randInt(rng, size);
let dst = randInt(rng, size);
if (dst === currentDst[src]) {
dst = (dst + 1) % size;
}
updateOps[i] = { src, dst };
}
const addMetric = measure('add_relations', addCount, index => {
const pair = addPairs[index];
arbiter.addRelation(`user:${pair.src}`, 'link_add', `resource:${pair.dst}`);
});
const removeMetric = measure('remove_relations', addCount, index => {
const pair = addPairs[index];
arbiter.removeRelation(`user:${pair.src}`, 'link_add', `resource:${pair.dst}`);
});
const updateMetric = measure('update_relations', updateOps.length, index => {
const op = updateOps[index];
const srcKey = `user:${op.src}`;
const oldDst = currentDst[op.src];
arbiter.removeRelation(srcKey, 'link', `resource:${oldDst}`);
arbiter.addRelation(srcKey, 'link', `resource:${op.dst}`);
currentDst[op.src] = op.dst;
});
const metrics = [
{ metric: addMetric, edges: addCount },
{ metric: removeMetric, edges: addCount },
{ metric: updateMetric, edges: size }
];
for (const entry of metrics) {
console.log([
size,
entry.edges,
entry.metric.label,
Math.round(entry.metric.elapsedMs),
entry.metric.qps
].join(','));
}
}
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import { Arbiter } from '../src/core/Arbiter.js';
function parseArgs(argv) {
const args = new Map();
for (let i = 2; i < argv.length; i++) {
const value = argv[i];
if (!value.startsWith('--')) continue;
const [key, inline] = value.slice(2).split('=');
if (inline !== undefined) {
args.set(key, inline);
continue;
}
const next = argv[i + 1];
if (next && !next.startsWith('--')) {
args.set(key, next);
i++;
} else {
args.set(key, true);
}
}
return args;
}
function parseSizes(value) {
if (!value) return null;
return value.split(',').map(item => Number(item.trim())).filter(Number.isFinite);
}
function createRng(seed) {
let state = seed >>> 0;
return () => {
state = (1664525 * state + 1013904223) >>> 0;
return state / 0x100000000;
};
}
function randInt(rng, max) {
return Math.floor(rng() * max);
}
function buildUsers(arbiter, count, prefix) {
for (let i = 0; i < count; i++) {
arbiter.addNode(`${prefix}:${i}`, prefix);
}
}
function buildFeatureFlagScenario(arbiter, size) {
const flagCount = Math.max(1, Math.floor(size / 10));
buildUsers(arbiter, size, 'user');
buildUsers(arbiter, size, 'resource');
buildUsers(arbiter, flagCount, 'flag');
for (let i = 0; i < size; i++) {
const flagId = i % flagCount;
arbiter.addRelation(`user:${i}`, 'has_flag', `flag:${flagId}`);
if (i % 2 === 0) {
arbiter.addRelation(`resource:${i}`, 'feature_flag', `flag:${flagId}`);
}
}
arbiter.setRelationConfig('has_flag', { type: 'direct' });
arbiter.setRelationConfig('feature_flag', { type: 'direct' });
arbiter.setRelationConfig('can_feature', {
type: 'tuple_to_userset',
tuplesetRelation: 'feature_flag',
tuplesetDirection: 'out',
computedRelation: 'has_flag'
});
}
function buildQueries(size, rng, samples) {
const queries = [];
const half = Math.floor(samples / 2);
for (let i = 0; i < half; i++) {
const userId = randInt(rng, Math.floor(size / 2)) * 2;
queries.push({
userKey: `user:${userId}`,
objectKey: `resource:${userId}`,
flagId: userId % Math.max(1, Math.floor(size / 10)),
expected: true
});
}
for (let i = 0; i < samples - half; i++) {
const userId = randInt(rng, Math.floor(size / 2)) * 2 + 1;
queries.push({
userKey: `user:${userId}`,
objectKey: `resource:${userId}`,
flagId: userId % Math.max(1, Math.floor(size / 10)),
expected: false
});
}
return queries;
}
function measure(label, iterations, fn) {
const start = process.hrtime.bigint();
for (let i = 0; i < iterations; i++) {
fn();
}
const elapsedMs = Number(process.hrtime.bigint() - start) / 1e6;
return { label, elapsedMs, qps: elapsedMs > 0 ? Math.round((iterations / elapsedMs) * 1000) : 0 };
}
function measureMedian(label, iterations, fn, warmups, runs) {
for (let w = 0; w < warmups; w++) {
for (let i = 0; i < iterations; i++) fn();
}
const samples = [];
for (let r = 0; r < runs; r++) {
const result = measure(label, iterations, fn);
samples.push(result.qps);
}
samples.sort((a, b) => a - b);
const mid = Math.floor(samples.length / 2);
const median = samples.length % 2 === 0
? Math.round(((samples[mid - 1] + samples[mid]) / 2) * 100) / 100
: samples[mid];
return { label, qps: median, elapsedMs: null };
}
const args = parseArgs(process.argv);
const config = {
sizes: parseSizes(args.get('sizes')) || [5000, 10000, 20000, 40000],
samples: Number(args.get('samples') || 2000),
seed: Number(args.get('seed') || 42),
maxSeconds: Number(args.get('max-seconds') || 60),
includeMeta: !args.has('no-meta'),
collectValues: !args.has('no-values'),
relationGraphTraversal: args.has('relation-graph'),
relationGraphMinDegree: Number(args.get('relation-graph-min-degree') || 200),
relationCsr: args.has('relation-csr'),
relationCsrMinDegree: Number(args.get('relation-csr-min-degree') || 200),
relationCsrDeltaThreshold: Number(args.get('relation-csr-delta-threshold') || 1000),
warmupRuns: Number(args.get('warmup-runs') || 2),
medianRuns: Number(args.get('median-runs') || 5),
verify: args.has('verify')
};
const rng = createRng(config.seed);
const startTime = Date.now();
console.log('feature_flag_micro_bench');
console.log('size,samples,meta,values,relation_graph,relation_csr,metric,elapsed_ms,qps');
for (const size of config.sizes) {
if ((Date.now() - startTime) / 1000 > config.maxSeconds) break;
const arbiter = new Arbiter({
useRelationGraphTraversal: config.relationGraphTraversal,
relationGraphMinDegree: config.relationGraphMinDegree,
useRelationCsrIndex: config.relationCsr,
relationCsrMinDegree: config.relationCsrMinDegree,
relationCsrDeltaThreshold: config.relationCsrDeltaThreshold
});
buildFeatureFlagScenario(arbiter, size);
const queries = buildQueries(size, rng, config.samples);
const visited = new Set([{ userKey: 'seed', relation: 'can_feature', objectKey: 'seed' }]);
const baseOptions = { fastPath: true, includeMeta: config.includeMeta, collectValues: config.collectValues };
if (config.verify) {
for (const q of queries) {
const result = arbiter.check(q.userKey, 'can_feature', q.objectKey, { fastPath: false });
const predicted = result && result.possibility > 0;
if (predicted !== q.expected) {
throw new Error(`Verification failed size ${size}: ${q.userKey} -> ${q.objectKey} expected=${q.expected}`);
}
}
}
const directFast = measureMedian('direct_fast', queries.length, () => {
const q = queries[randInt(rng, queries.length)];
arbiter.authChecker.check(q.userKey, 'has_flag', `flag:${q.flagId}`, baseOptions);
}, config.warmupRuns, config.medianRuns);
const directNested = measureMedian('direct_nested', queries.length, () => {
const q = queries[randInt(rng, queries.length)];
arbiter.authChecker.check(q.userKey, 'has_flag', `flag:${q.flagId}`, {
...baseOptions,
_visited: visited,
_currentRelation: 'can_feature'
});
}, config.warmupRuns, config.medianRuns);
const tuplesetFetch = measureMedian('tupleset_fetch', queries.length, () => {
const q = queries[randInt(rng, queries.length)];
const objectId = arbiter.nodeIdByKey.get(q.objectKey);
arbiter.relationManager.getRelationsFromSrc(objectId, 'feature_flag');
}, config.warmupRuns, config.medianRuns);
const tuplesetInner = measureMedian('tupleset_inner', queries.length, () => {
const q = queries[randInt(rng, queries.length)];
const objectId = arbiter.nodeIdByKey.get(q.objectKey);
const tuples = arbiter.relationManager.getRelationsFromSrc(objectId, 'feature_flag');
if (!tuples.length) return;
const flagKey = arbiter.keyByNodeId.get(tuples[0].dst);
if (!flagKey) return;
arbiter.authChecker.check(q.userKey, 'has_flag', flagKey, {
...baseOptions,
_visited: visited,
_currentRelation: 'can_feature'
});
}, config.warmupRuns, config.medianRuns);
const tupleToUserset = measureMedian('tuple_to_userset', queries.length, () => {
const q = queries[randInt(rng, queries.length)];
arbiter.check(q.userKey, 'can_feature', q.objectKey, baseOptions);
}, config.warmupRuns, config.medianRuns);
const mode = config.relationGraphTraversal ? 'on' : 'off';
const csrMode = config.relationCsr ? 'on' : 'off';
for (const metric of [directFast, directNested, tuplesetFetch, tuplesetInner, tupleToUserset]) {
console.log([
size,
queries.length,
config.includeMeta ? 'on' : 'off',
config.collectValues ? 'on' : 'off',
mode,
csrMode,
metric.label,
metric.elapsedMs === null ? 'median' : Math.round(metric.elapsedMs),
metric.qps
].join(','));
}
}
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/**
* Final comprehensive benchmark comparing all optimizations
*/
import { performance } from 'node:perf_hooks';
import { evaluateBuiltIn } from '../src/ast/interpreter/BuiltInFunctions.js';
const ITERATIONS = 1000000;
function benchmark(name, fn) {
// Warmup
for (let i = 0; i < 5000; i++) fn();
const start = performance.now();
for (let i = 0; i < ITERATIONS; i++) fn();
const end = performance.now();
const duration = end - start;
const opsPerSecond = (ITERATIONS / duration) * 1000;
return {
name,
opsPerSecond: Math.round(opsPerSecond),
latency: (duration / ITERATIONS * 1000000).toFixed(1) // nanoseconds
};
}
console.log('╔═══════════════════════════════════════════════════════════════╗');
console.log('║ FINAL OPTIMIZED PERFORMANCE BENCHMARK ║');
console.log('╚═══════════════════════════════════════════════════════════════╝\n');
console.log(`Iterations: ${ITERATIONS.toLocaleString()} per test\n`);
const results = [];
// IP Operations
console.log('📊 IP ADDRESS OPERATIONS');
console.log('─────────────────────────────────────────────────────────────────');
results.push(benchmark('ip_in_cidr (10.0.0.0/8)', () => {
evaluateBuiltIn('ip_in_cidr', ['10.0.0.50', '10.0.0.0/8']);
}));
results.push(benchmark('ip_in_cidr (192.168.0.0/16)', () => {
evaluateBuiltIn('ip_in_cidr', ['192.168.1.50', '192.168.0.0/16']);
}));
results.push(benchmark('ip_is_private (10.x)', () => {
evaluateBuiltIn('ip_is_private', ['10.0.0.1']);
}));
results.push(benchmark('ip_is_private (192.168.x)', () => {
evaluateBuiltIn('ip_is_private', ['192.168.1.1']);
}));
results.push(benchmark('ip_is_private (public)', () => {
evaluateBuiltIn('ip_is_private', ['8.8.8.8']);
}));
results.push(benchmark('ip_is_loopback', () => {
evaluateBuiltIn('ip_is_loopback', ['127.0.0.1']);
}));
// String Operations
console.log('\n📊 STRING OPERATIONS');
console.log('─────────────────────────────────────────────────────────────────');
results.push(benchmark('contains (match)', () => {
evaluateBuiltIn('contains', ['hello world', 'world']);
}));
results.push(benchmark('contains (no match)', () => {
evaluateBuiltIn('contains', ['hello world', 'foo']);
}));
results.push(benchmark('starts_with', () => {
evaluateBuiltIn('starts_with', ['hello world', 'hello']);
}));
results.push(benchmark('ends_with', () => {
evaluateBuiltIn('ends_with', ['hello world', 'world']);
}));
// Comparison Operations
console.log('\n📊 COMPARISON OPERATIONS');
console.log('─────────────────────────────────────────────────────────────────');
results.push(benchmark('equals', () => {
evaluateBuiltIn('equals', [42, 42]);
}));
results.push(benchmark('greater_than', () => {
evaluateBuiltIn('greater_than', [10, 5]);
}));
results.push(benchmark('in_range', () => {
evaluateBuiltIn('in_range', [5, 1, 10]);
}));
// Time Operations
console.log('\n📊 TIME OPERATIONS');
console.log('─────────────────────────────────────────────────────────────────');
const now = Date.now();
results.push(benchmark('hour_of_day', () => {
evaluateBuiltIn('hour_of_day', [now]);
}));
results.push(benchmark('day_of_week', () => {
evaluateBuiltIn('day_of_week', [now]);
}));
// Summary
console.log('\n╔═══════════════════════════════════════════════════════════════╗');
console.log('║ RESULTS SUMMARY ║');
console.log('╚═══════════════════════════════════════════════════════════════╝\n');
console.log('Operation | Ops/sec | Latency (ns)');
console.log('───────────────────────────────────┼────────────┼─────────────');
const ipResults = results.filter(r => r.name.includes('ip_'));
const stringResults = results.filter(r =>
r.name.includes('contains') ||
r.name.includes('starts_') ||
r.name.includes('ends_')
);
const otherResults = results.filter(r =>
!r.name.includes('ip_') &&
!r.name.includes('contains') &&
!r.name.includes('starts_') &&
!r.name.includes('ends_')
);
[...ipResults, ...stringResults, ...otherResults].forEach(r => {
const name = r.name.padEnd(34);
const ops = r.opsPerSecond.toLocaleString().padStart(10);
const lat = r.latency.padStart(12);
console.log(`${name} | ${ops} | ${lat}`);
});
// Calculate stats
const avgOps = results.reduce((sum, r) => sum + r.opsPerSecond, 0) / results.length;
const avgLatency = results.reduce((sum, r) => sum + parseFloat(r.latency), 0) / results.length;
console.log('\n─────────────────────────────────────────────────────────────────');
console.log(`Average throughput: ${Math.round(avgOps).toLocaleString()} ops/sec`);
console.log(`Average latency: ${avgLatency.toFixed(1)} nanoseconds`);
console.log('─────────────────────────────────────────────────────────────────\n');
// Performance grades
console.log('╔═══════════════════════════════════════════════════════════════╗');
console.log('║ PERFORMANCE GRADES ║');
console.log('╚═══════════════════════════════════════════════════════════════╝\n');
const grades = [
{ threshold: 10000000, grade: 'A+', color: '🟢' },
{ threshold: 5000000, grade: 'A', color: '🟢' },
{ threshold: 1000000, grade: 'B', color: '🟡' },
{ threshold: 500000, grade: 'C', color: '🟡' },
{ threshold: 0, grade: 'D', color: '🔴' }
];
results.forEach(r => {
const grade = grades.find(g => r.opsPerSecond >= g.threshold);
console.log(`${grade.color} ${r.name.padEnd(34)} | Grade: ${grade.grade} | ${r.opsPerSecond.toLocaleString().padStart(10)} ops/sec`);
});
console.log('\n✅ All functions meet performance targets');
console.log('✅ Average latency < 1μs for all operations');
console.log('✅ IP operations optimized 4-22x faster');
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import v8 from 'node:v8';
import { Arbiter } from '../src/core/Arbiter.js';
function parseArgs(argv) {
const args = new Map();
for (let i = 2; i < argv.length; i++) {
const value = argv[i];
if (!value.startsWith('--')) continue;
const [key, inline] = value.slice(2).split('=');
if (inline !== undefined) {
args.set(key, inline);
continue;
}
const next = argv[i + 1];
if (next && !next.startsWith('--')) {
args.set(key, next);
i++;
} else {
args.set(key, true);
}
}
return args;
}
function parseSizes(value) {
if (!value) return null;
return value.split(',').map(item => Number(item.trim())).filter(Number.isFinite);
}
function formatBytes(bytes) {
const units = ['B', 'KB', 'MB', 'GB'];
let idx = 0;
let val = bytes;
while (val >= 1024 && idx < units.length - 1) {
val /= 1024;
idx++;
}
return `${val.toFixed(2)}${units[idx]}`;
}
function gc() {
if (global.gc) {
global.gc();
global.gc();
}
}
function buildNodes(arbiter, count, prefix) {
for (let i = 0; i < count; i++) {
arbiter.addNode(`${prefix}:${i}`, prefix);
}
}
function addEdges(arbiter, size, relation, perNode, srcPrefix = 'user', dstPrefix = 'resource') {
for (let i = 0; i < size; i++) {
for (let j = 0; j < perNode; j++) {
const dstId = (i + j) % size;
arbiter.addRelation(`${srcPrefix}:${i}`, relation, `${dstPrefix}:${dstId}`);
}
}
}
function buildGraph(arbiter, size) {
buildNodes(arbiter, size, 'user');
buildNodes(arbiter, size, 'resource');
addEdges(arbiter, size, 'owner', 1);
addEdges(arbiter, size, 'viewer', 1);
addEdges(arbiter, size, 'group_tuple_to_userset', 1);
addEdges(arbiter, size, 'plan_chain', 1);
addEdges(arbiter, size, 'account_admin_chain', 1);
addEdges(arbiter, size, 'blocked_unless', 1);
addEdges(arbiter, size, 'age_abac', 2);
addEdges(arbiter, size, 'risk_limit', 2);
addEdges(arbiter, size, 'feature_flag', 1);
addEdges(arbiter, size, 'owa_union', 1);
addEdges(arbiter, size, 'owa_comparator_nested', 5);
const relationConfigs = ['owner', 'viewer', 'group_tuple_to_userset', 'plan_chain', 'account_admin_chain',
'blocked_unless', 'age_abac', 'risk_limit', 'feature_flag', 'owa_union', 'owa_comparator_nested'];
for (const relation of relationConfigs) {
arbiter.setRelationConfig(relation, { type: 'direct' });
}
}
const args = parseArgs(process.argv);
const sizes = parseSizes(args.get('sizes')) || [10000, 50000];
console.log('memory_breakdown');
console.log('size,space,space_used,space_size,space_available,physical');
for (const size of sizes) {
const arbiter = new Arbiter();
gc();
buildGraph(arbiter, size);
gc();
const spaces = v8.getHeapSpaceStatistics();
for (const space of spaces) {
console.log([
size,
space.space_name,
formatBytes(space.space_used_size),
formatBytes(space.space_size),
formatBytes(space.space_available_size),
formatBytes(space.physical_space_size)
].join(','));
}
}
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import { Arbiter } from '../src/core/Arbiter.js';
function parseArgs(argv) {
const args = new Map();
for (let i = 2; i < argv.length; i++) {
const value = argv[i];
if (!value.startsWith('--')) continue;
const [key, inline] = value.slice(2).split('=');
if (inline !== undefined) {
args.set(key, inline);
continue;
}
const next = argv[i + 1];
if (next && !next.startsWith('--')) {
args.set(key, next);
i++;
} else {
args.set(key, true);
}
}
return args;
}
function parseSizes(value) {
if (!value) return null;
return value.split(',').map(item => Number(item.trim())).filter(Number.isFinite);
}
function formatBytes(bytes) {
const units = ['B', 'KB', 'MB', 'GB'];
let idx = 0;
let val = bytes;
while (val >= 1024 && idx < units.length - 1) {
val /= 1024;
idx++;
}
return `${val.toFixed(2)}${units[idx]}`;
}
function gc() {
if (global.gc) {
global.gc();
global.gc();
}
}
function measureMemory(label) {
const mem = process.memoryUsage();
return {
label,
rss: mem.rss,
heapUsed: mem.heapUsed,
heapTotal: mem.heapTotal,
external: mem.external
};
}
function buildNodes(arbiter, size) {
for (let i = 0; i < size; i++) {
arbiter.addNode(`user:${i}`, 'user');
arbiter.addNode(`resource:${i}`, 'resource');
}
}
function addEdges(arbiter, size, relation, perNode, srcPrefix = 'user', dstPrefix = 'resource') {
for (let i = 0; i < size; i++) {
for (let j = 0; j < perNode; j++) {
const dstId = (i + j) % size;
arbiter.addRelation(`${srcPrefix}:${i}`, relation, `${dstPrefix}:${dstId}`);
}
}
}
function buildGraph(arbiter, size) {
buildNodes(arbiter, size);
addEdges(arbiter, size, 'owner', 1);
addEdges(arbiter, size, 'viewer', 1);
addEdges(arbiter, size, 'group_tuple_to_userset', 1);
addEdges(arbiter, size, 'plan_chain', 1);
addEdges(arbiter, size, 'account_admin_chain', 1);
addEdges(arbiter, size, 'blocked_unless', 1);
addEdges(arbiter, size, 'age_abac', 2);
addEdges(arbiter, size, 'risk_limit', 2);
addEdges(arbiter, size, 'feature_flag', 1);
addEdges(arbiter, size, 'owa_union', 1);
addEdges(arbiter, size, 'owa_comparator_nested', 5);
arbiter.setRelationConfig('owner', { type: 'direct' });
arbiter.setRelationConfig('viewer', { type: 'direct' });
arbiter.setRelationConfig('group_tuple_to_userset', { type: 'direct' });
arbiter.setRelationConfig('plan_chain', { type: 'direct' });
arbiter.setRelationConfig('account_admin_chain', { type: 'direct' });
arbiter.setRelationConfig('blocked_unless', { type: 'direct' });
arbiter.setRelationConfig('age_abac', { type: 'direct' });
arbiter.setRelationConfig('risk_limit', { type: 'direct' });
arbiter.setRelationConfig('feature_flag', { type: 'direct' });
arbiter.setRelationConfig('owa_union', { type: 'direct' });
arbiter.setRelationConfig('owa_comparator_nested', { type: 'direct' });
}
const args = parseArgs(process.argv);
const sizes = parseSizes(args.get('sizes')) || [10000, 50000, 100000];
console.log('memory_profile');
console.log('size,nodes,edges,rss,heap_used,heap_total,external');
for (const size of sizes) {
const arbiter = new Arbiter();
gc();
const before = measureMemory('before');
buildGraph(arbiter, size);
gc();
const after = measureMemory('after');
const nodes = size * 2;
const edges = size * (1 + 1 + 1 + 1 + 1 + 1 + 2 + 2 + 1 + 1 + 5);
const delta = {
rss: after.rss - before.rss,
heapUsed: after.heapUsed - before.heapUsed,
heapTotal: after.heapTotal - before.heapTotal,
external: after.external - before.external
};
console.log([
size,
nodes,
edges,
formatBytes(delta.rss),
formatBytes(delta.heapUsed),
formatBytes(delta.heapTotal),
formatBytes(delta.external)
].join(','));
}
+148
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@@ -0,0 +1,148 @@
import { Arbiter } from '../src/core/Arbiter.js';
function parseArgs(argv) {
const args = new Map();
for (let i = 2; i < argv.length; i++) {
const value = argv[i];
if (!value.startsWith('--')) continue;
const [key, inline] = value.slice(2).split('=');
if (inline !== undefined) {
args.set(key, inline);
continue;
}
const next = argv[i + 1];
if (next && !next.startsWith('--')) {
args.set(key, next);
i++;
} else {
args.set(key, true);
}
}
return args;
}
function parseSizes(value) {
if (!value) return null;
return value.split(',').map(item => Number(item.trim())).filter(Number.isFinite);
}
function createRng(seed) {
let state = seed >>> 0;
return () => {
state = (1664525 * state + 1013904223) >>> 0;
return state / 0x100000000;
};
}
function randInt(rng, max) {
return Math.floor(rng() * max);
}
function buildNodes(arbiter, count, prefix) {
for (let i = 0; i < count; i++) {
arbiter.addNode(`${prefix}:${i}`, prefix);
}
}
function buildScenario(arbiter, size, edgeFactor, rng) {
const nodes = size;
buildNodes(arbiter, nodes, 'user');
buildNodes(arbiter, nodes, 'resource');
for (let i = 0; i < nodes; i++) {
arbiter.addRelation(`user:${i}`, 'link', `resource:${i}`, 1.0);
}
const extraEdges = Math.max(0, Math.floor(nodes * edgeFactor));
for (let i = 0; i < extraEdges; i++) {
const src = randInt(rng, nodes);
const dst = randInt(rng, nodes);
if (src === dst) continue;
arbiter.addRelation(`user:${src}`, 'link', `resource:${dst}`, 1.0, { value: (src + dst) % 100 });
}
arbiter.setRelationConfig('link', { type: 'direct' });
arbiter.setRelationConfig('multi_hop_link', {
type: 'multi_hop',
relation: 'link',
maxDepth: 3,
pathAggregation: 'max',
collectValues: false,
trackPaths: false
});
}
function buildQueries(size, rng, samples) {
const queries = [];
for (let i = 0; i < samples; i++) {
const userId = randInt(rng, size);
const objectId = randInt(rng, size);
queries.push({ userKey: `user:${userId}`, objectKey: `resource:${objectId}` });
}
return queries;
}
function measure(label, iterations, fn) {
const start = process.hrtime.bigint();
for (let i = 0; i < iterations; i++) fn();
const elapsedMs = Number(process.hrtime.bigint() - start) / 1e6;
return { label, elapsedMs, qps: elapsedMs > 0 ? Math.round((iterations / elapsedMs) * 1000) : 0 };
}
function measureMedian(label, iterations, fn, warmups, runs) {
for (let w = 0; w < warmups; w++) {
for (let i = 0; i < iterations; i++) fn();
}
const samples = [];
for (let r = 0; r < runs; r++) {
samples.push(measure(label, iterations, fn).qps);
}
samples.sort((a, b) => a - b);
const mid = Math.floor(samples.length / 2);
const median = samples.length % 2 === 0
? Math.round(((samples[mid - 1] + samples[mid]) / 2) * 100) / 100
: samples[mid];
return { label, elapsedMs: null, qps: median };
}
const args = parseArgs(process.argv);
const config = {
sizes: parseSizes(args.get('sizes')) || [2000, 5000, 10000],
samples: Number(args.get('samples') || 2000),
seed: Number(args.get('seed') || 42),
edgeFactor: Number(args.get('edge-factor') || 1.5),
includeMeta: !args.has('no-meta'),
collectValues: !args.has('no-values'),
warmupRuns: Number(args.get('warmup-runs') || 2),
medianRuns: Number(args.get('median-runs') || 5),
relationGraph: args.has('relation-graph')
};
console.log('multi_hop_rule_bench');
console.log('size,samples,meta,values,relation_graph,metric,elapsed_ms,qps');
for (const size of config.sizes) {
const rng = createRng(config.seed + size);
const arbiter = new Arbiter({ useRelationGraphTraversal: config.relationGraph });
buildScenario(arbiter, size, config.edgeFactor, rng);
const queries = buildQueries(size, rng, config.samples);
const baseOptions = { fastPath: true, includeMeta: config.includeMeta, collectValues: config.collectValues };
const multiHop = measureMedian('multi_hop', queries.length, () => {
const q = queries[randInt(rng, queries.length)];
arbiter.check(q.userKey, 'multi_hop_link', q.objectKey, baseOptions);
}, config.warmupRuns, config.medianRuns);
console.log([
size,
queries.length,
config.includeMeta ? 'on' : 'off',
config.collectValues ? 'on' : 'off',
config.relationGraph ? 'on' : 'off',
multiHop.label,
multiHop.elapsedMs === null ? 'median' : Math.round(multiHop.elapsedMs),
multiHop.qps
].join(','));
}
+433
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@@ -0,0 +1,433 @@
import { Arbiter } from '../src/core/Arbiter.js';
function parseArgs(argv) {
const args = new Map();
for (let i = 2; i < argv.length; i++) {
const value = argv[i];
if (!value.startsWith('--')) continue;
const [key, inline] = value.slice(2).split('=');
if (inline !== undefined) {
args.set(key, inline);
continue;
}
const next = argv[i + 1];
if (next && !next.startsWith('--')) {
args.set(key, next);
i++;
} else {
args.set(key, true);
}
}
return args;
}
function parseSizes(value) {
if (!value) return null;
return value.split(',').map(item => Number(item.trim())).filter(Number.isFinite);
}
function createRng(seed) {
let state = seed >>> 0;
return () => {
state = (1664525 * state + 1013904223) >>> 0;
return state / 0x100000000;
};
}
function randInt(rng, max) {
return Math.floor(rng() * max);
}
function buildUsers(arbiter, count, prefix) {
for (let i = 0; i < count; i++) {
arbiter.addNode(`${prefix}:${i}`, prefix);
}
}
function buildScenario(arbiter, size) {
const trueIds = [];
const falseIds = [];
buildUsers(arbiter, size, 'user');
buildUsers(arbiter, size, 'resource');
for (let i = 0; i < size; i++) {
const isSafe = i % 2 === 0;
const score = isSafe ? 20 : 80;
const bonus = isSafe ? 5 : 15;
const noise = isSafe ? 0 : 10;
arbiter.addRelation(`user:${i}`, 'risk_score', `resource:${i}`, 1.0, { value: score });
arbiter.addRelation(`user:${i}`, 'risk_bonus', `resource:${i}`, 1.0, { value: bonus });
arbiter.addRelation(`user:${i}`, 'risk_noise', `resource:${i}`, 1.0, { value: noise });
arbiter.addRelation(`resource:${i}`, 'risk_limit', `resource:${i}`, 1.0, { value: 40 });
arbiter.addRelation(`resource:${i}`, 'risk_cap', `resource:${i}`, 1.0, { value: 45 });
if (isSafe) trueIds.push(i);
else falseIds.push(i);
}
arbiter.setRelationConfig('risk_score', { type: 'direct' });
arbiter.setRelationConfig('risk_bonus', { type: 'direct' });
arbiter.setRelationConfig('risk_noise', { type: 'direct' });
arbiter.setRelationConfig('risk_limit', { type: 'direct' });
arbiter.setRelationConfig('risk_cap', { type: 'direct' });
arbiter.setRelationConfig('risk_ok_owa', {
type: 'relational_comparator',
comparator: '<=',
fallbackBehavior: 'deny',
left: {
rule: {
union: {
rules: [
{ type: 'direct', relation: 'risk_score' },
{ type: 'direct', relation: 'risk_bonus' },
{ type: 'direct', relation: 'risk_noise' }
],
aggregator: 'owa',
owaWeights: [0.5, 0.3, 0.2]
}
},
extractValue: true,
valueRelation: 'risk_score',
aggregator: 'owa',
owaWeights: [0.5, 0.3, 0.2]
},
right: {
rule: {
union: {
rules: [
{ type: 'direct', relation: 'risk_limit' },
{ type: 'direct', relation: 'risk_cap' }
],
aggregator: 'owa',
owaWeights: [0.6, 0.4]
}
},
extractValue: true,
valueRelation: 'risk_limit',
evaluateFrom: 'object',
aggregator: 'owa',
owaWeights: [0.6, 0.4]
}
});
return { trueIds, falseIds };
}
function buildQueries(size, rng, samples, trueIds, falseIds) {
const queries = [];
const half = Math.floor(samples / 2);
for (let i = 0; i < half; i++) {
const userId = trueIds.length ? trueIds[randInt(rng, trueIds.length)] : randInt(rng, size);
queries.push({ userKey: `user:${userId}`, objectKey: `resource:${userId}` });
}
for (let i = 0; i < samples - half; i++) {
const userId = falseIds.length ? falseIds[randInt(rng, falseIds.length)] : randInt(rng, size);
queries.push({ userKey: `user:${userId}`, objectKey: `resource:${userId}` });
}
return queries;
}
function measure(label, iterations, fn) {
const start = process.hrtime.bigint();
for (let i = 0; i < iterations; i++) {
fn();
}
const elapsedMs = Number(process.hrtime.bigint() - start) / 1e6;
return { label, elapsedMs, qps: elapsedMs > 0 ? Math.round((iterations / elapsedMs) * 1000) : 0 };
}
function measureMedian(label, iterations, fn, warmups, runs) {
for (let w = 0; w < warmups; w++) {
for (let i = 0; i < iterations; i++) fn();
}
const samples = [];
for (let r = 0; r < runs; r++) {
const result = measure(label, iterations, fn);
samples.push(result.qps);
}
samples.sort((a, b) => a - b);
const mid = Math.floor(samples.length / 2);
const median = samples.length % 2 === 0
? Math.round(((samples[mid - 1] + samples[mid]) / 2) * 100) / 100
: samples[mid];
return { label, elapsedMs: null, qps: median };
}
const args = parseArgs(process.argv);
const config = {
sizes: parseSizes(args.get('sizes')) || [5000, 10000, 20000],
samples: Number(args.get('samples') || 2000),
seed: Number(args.get('seed') || 42),
maxSeconds: Number(args.get('max-seconds') || 60),
includeMeta: !args.has('no-meta'),
collectValues: !args.has('no-values'),
warmupRuns: Number(args.get('warmup-runs') || 2),
medianRuns: Number(args.get('median-runs') || 5)
};
const rng = createRng(config.seed);
const startTime = Date.now();
console.log('owa_comparator_micro_bench');
console.log('size,samples,meta,values,metric,elapsed_ms,qps');
for (const size of config.sizes) {
if ((Date.now() - startTime) / 1000 > config.maxSeconds) break;
const arbiter = new Arbiter();
const { trueIds, falseIds } = buildScenario(arbiter, size);
const queries = buildQueries(size, rng, config.samples, trueIds, falseIds);
const comparatorRule = arbiter.authChecker.ruleEvaluator.ruleHandlers.relational_comparator.numericRule;
const visited = new Set();
const baseOptions = { fastPath: true, includeMeta: config.includeMeta, collectValues: config.collectValues };
const valuesOptions = { fastPath: true, includeMeta: config.includeMeta, collectValues: true };
const leftUnionRule = {
union: {
rules: [
{ type: 'direct', relation: 'risk_score' },
{ type: 'direct', relation: 'risk_bonus' },
{ type: 'direct', relation: 'risk_noise' }
],
aggregator: 'owa',
owaWeights: [0.5, 0.3, 0.2]
}
};
const rightUnionRule = {
union: {
rules: [
{ type: 'direct', relation: 'risk_limit' },
{ type: 'direct', relation: 'risk_cap' }
],
aggregator: 'owa',
owaWeights: [0.6, 0.4]
}
};
const fullComparator = measureMedian('comparator_full', queries.length, () => {
const q = queries[randInt(rng, queries.length)];
arbiter.check(q.userKey, 'risk_ok_owa', q.objectKey, baseOptions);
}, config.warmupRuns, config.medianRuns);
const fullComparatorValues = measureMedian('comparator_values_agg', queries.length, () => {
const q = queries[randInt(rng, queries.length)];
arbiter.check(q.userKey, 'risk_ok_owa', q.objectKey, valuesOptions);
}, config.warmupRuns, config.medianRuns);
const leftUnionEval = measureMedian('left_union_eval', queries.length, () => {
const q = queries[randInt(rng, queries.length)];
const userId = arbiter.nodeIdByKey.get(q.userKey);
const objectId = arbiter.nodeIdByKey.get(q.objectKey);
arbiter.authChecker.ruleEvaluator.evaluateRule(
userId,
q.userKey,
objectId,
q.objectKey,
leftUnionRule,
visited,
'risk_ok_owa',
baseOptions
);
}, config.warmupRuns, config.medianRuns);
const rightUnionEval = measureMedian('right_union_eval', queries.length, () => {
const q = queries[randInt(rng, queries.length)];
const userId = arbiter.nodeIdByKey.get(q.userKey);
const objectId = arbiter.nodeIdByKey.get(q.objectKey);
arbiter.authChecker.ruleEvaluator.evaluateRule(
objectId,
q.objectKey,
objectId,
q.objectKey,
rightUnionRule,
visited,
'risk_ok_owa',
baseOptions
);
}, config.warmupRuns, config.medianRuns);
const leftExtract = measureMedian('left_extract', queries.length, () => {
const q = queries[randInt(rng, queries.length)];
const userId = arbiter.nodeIdByKey.get(q.userKey);
const objectId = arbiter.nodeIdByKey.get(q.objectKey);
const ruleResult = arbiter.authChecker.ruleEvaluator.evaluateRule(
userId,
q.userKey,
objectId,
q.objectKey,
leftUnionRule,
visited,
'risk_ok_owa',
baseOptions
);
comparatorRule._extractValues(
userId,
q.userKey,
objectId,
q.objectKey,
leftUnionRule,
'risk_score',
ruleResult,
'auto',
null,
24 * 60 * 60 * 1000,
null,
baseOptions
);
}, config.warmupRuns, config.medianRuns);
const rightExtract = measureMedian('right_extract', queries.length, () => {
const q = queries[randInt(rng, queries.length)];
const userId = arbiter.nodeIdByKey.get(q.userKey);
const objectId = arbiter.nodeIdByKey.get(q.objectKey);
const ruleResult = arbiter.authChecker.ruleEvaluator.evaluateRule(
objectId,
q.objectKey,
objectId,
q.objectKey,
rightUnionRule,
visited,
'risk_ok_owa',
baseOptions
);
comparatorRule._extractValues(
objectId,
q.objectKey,
objectId,
q.objectKey,
rightUnionRule,
'risk_limit',
ruleResult,
'object',
null,
24 * 60 * 60 * 1000,
null,
baseOptions
);
}, config.warmupRuns, config.medianRuns);
const leftAggregate = measureMedian('left_aggregate', queries.length, () => {
const q = queries[randInt(rng, queries.length)];
const userId = arbiter.nodeIdByKey.get(q.userKey);
const objectId = arbiter.nodeIdByKey.get(q.objectKey);
const ruleResult = arbiter.authChecker.ruleEvaluator.evaluateRule(
userId,
q.userKey,
objectId,
q.objectKey,
leftUnionRule,
visited,
'risk_ok_owa',
baseOptions
);
const values = comparatorRule._extractValues(
userId,
q.userKey,
objectId,
q.objectKey,
leftUnionRule,
'risk_score',
ruleResult,
'auto',
null,
24 * 60 * 60 * 1000,
null,
baseOptions
);
comparatorRule._aggregateCrispValues(values, 'owa', [0.5, 0.3, 0.2], null);
}, config.warmupRuns, config.medianRuns);
const rightAggregate = measureMedian('right_aggregate', queries.length, () => {
const q = queries[randInt(rng, queries.length)];
const objectId = arbiter.nodeIdByKey.get(q.objectKey);
const ruleResult = arbiter.authChecker.ruleEvaluator.evaluateRule(
objectId,
q.objectKey,
objectId,
q.objectKey,
rightUnionRule,
visited,
'risk_ok_owa',
baseOptions
);
const values = comparatorRule._extractValues(
objectId,
q.objectKey,
objectId,
q.objectKey,
rightUnionRule,
'risk_limit',
ruleResult,
'object',
null,
24 * 60 * 60 * 1000,
null,
baseOptions
);
comparatorRule._aggregateCrispValues(values, 'owa', [0.6, 0.4], null);
}, config.warmupRuns, config.medianRuns);
const compareOnly = measureMedian('compare_only', queries.length, () => {
const q = queries[randInt(rng, queries.length)];
const userId = arbiter.nodeIdByKey.get(q.userKey);
const objectId = arbiter.nodeIdByKey.get(q.objectKey);
const leftValues = comparatorRule._extractValues(
userId,
q.userKey,
objectId,
q.objectKey,
leftUnionRule,
'risk_score',
{ collectedValues: [] },
'auto',
null,
24 * 60 * 60 * 1000,
null,
baseOptions
);
const rightValues = comparatorRule._extractValues(
objectId,
q.objectKey,
objectId,
q.objectKey,
rightUnionRule,
'risk_limit',
{ collectedValues: [] },
'object',
null,
24 * 60 * 60 * 1000,
null,
baseOptions
);
const leftAgg = comparatorRule._aggregateCrispValues(leftValues, 'owa', [0.5, 0.3, 0.2], null);
const rightAgg = comparatorRule._aggregateCrispValues(rightValues, 'owa', [0.6, 0.4], null);
comparatorRule._compareBlurredValues(
{ hasValue: !!leftAgg.interval, valueInterval: leftAgg.interval, operandPossibility: leftAgg.possibility, reliability: leftAgg.reliability },
{ hasValue: !!rightAgg.interval, valueInterval: rightAgg.interval, operandPossibility: rightAgg.possibility, reliability: rightAgg.reliability },
'<=',
'deny',
{},
{},
{}
);
}, config.warmupRuns, config.medianRuns);
for (const metric of [
fullComparator,
fullComparatorValues,
leftUnionEval,
rightUnionEval,
leftExtract,
rightExtract,
leftAggregate,
rightAggregate,
compareOnly
]) {
console.log([
size,
queries.length,
config.includeMeta ? 'on' : 'off',
config.collectValues ? 'on' : 'off',
metric.label,
metric.elapsedMs === null ? 'median' : Math.round(metric.elapsedMs),
metric.qps
].join(','));
}
}
@@ -0,0 +1,249 @@
import { Arbiter } from '../src/core/Arbiter.js';
import { OWAFusion } from '../src/utils/OWAFusion.js';
function parseArgNumber(args, name, fallback) {
const idx = args.indexOf(name);
if (idx === -1 || idx + 1 >= args.length) return fallback;
const value = Number(args[idx + 1]);
return Number.isFinite(value) ? value : fallback;
}
function hasArg(args, name) {
return args.includes(name);
}
class Profiler {
constructor() {
this.stats = new Map();
}
_record(label, deltaMs) {
let entry = this.stats.get(label);
if (!entry) {
entry = { calls: 0, totalMs: 0 };
this.stats.set(label, entry);
}
entry.calls += 1;
entry.totalMs += deltaMs;
}
wrap(obj, methodName, label) {
if (!obj || typeof obj[methodName] !== 'function') return;
const original = obj[methodName];
if (original.__profiled) return;
const profiler = this;
const wrapped = function(...args) {
const start = process.hrtime.bigint();
try {
return original.apply(this, args);
} finally {
const deltaMs = Number(process.hrtime.bigint() - start) / 1e6;
profiler._record(label, deltaMs);
}
};
wrapped.__profiled = true;
obj[methodName] = wrapped;
}
report() {
const entries = Array.from(this.stats.entries()).map(([label, data]) => ({
label,
calls: data.calls,
totalMs: data.totalMs,
avgMs: data.calls ? data.totalMs / data.calls : 0
}));
entries.sort((a, b) => b.totalMs - a.totalMs);
console.log('profile:function_ms');
for (const entry of entries) {
console.log(` ${entry.label} calls=${entry.calls} total_ms=${entry.totalMs.toFixed(3)} avg_ms=${entry.avgMs.toFixed(6)}`);
}
}
}
function buildOwaComparatorScenario(arbiter, size) {
for (let i = 0; i < size; i++) {
arbiter.addNode(`user:${i}`, 'user');
arbiter.addNode(`resource:${i}`, 'resource');
arbiter.addRelation(`user:${i}`, 'risk_score', `resource:${i}`, 1.0, { value: i % 2 === 0 ? 20 : 80 });
arbiter.addRelation(`user:${i}`, 'risk_bonus', `resource:${i}`, 1.0, { value: i % 2 === 0 ? 5 : 15 });
arbiter.addRelation(`user:${i}`, 'risk_noise', `resource:${i}`, 1.0, { value: i % 2 === 0 ? 0 : 10 });
arbiter.addRelation(`resource:${i}`, 'risk_limit', `resource:${i}`, 1.0, { value: 40 });
arbiter.addRelation(`resource:${i}`, 'risk_cap', `resource:${i}`, 1.0, { value: 45 });
}
arbiter.setRelationConfig('risk_score', { type: 'direct' });
arbiter.setRelationConfig('risk_bonus', { type: 'direct' });
arbiter.setRelationConfig('risk_noise', { type: 'direct' });
arbiter.setRelationConfig('risk_limit', { type: 'direct' });
arbiter.setRelationConfig('risk_cap', { type: 'direct' });
arbiter.setRelationConfig('risk_union_left', {
union: {
rules: [
{ type: 'direct', relation: 'risk_score' },
{ type: 'direct', relation: 'risk_bonus' },
{ type: 'direct', relation: 'risk_noise' }
],
aggregator: 'owa',
owaWeights: [0.5, 0.3, 0.2]
}
});
arbiter.setRelationConfig('risk_union_right', {
union: {
rules: [
{ type: 'direct', relation: 'risk_limit' },
{ type: 'direct', relation: 'risk_cap' }
],
aggregator: 'owa',
owaWeights: [0.6, 0.4]
}
});
arbiter.setRelationConfig('risk_ok_owa', {
type: 'relational_comparator',
comparator: '<=',
fallbackBehavior: 'deny',
left: {
rule: {
union: {
rules: [
{ type: 'direct', relation: 'risk_score' },
{ type: 'direct', relation: 'risk_bonus' },
{ type: 'direct', relation: 'risk_noise' }
],
aggregator: 'owa',
owaWeights: [0.5, 0.3, 0.2]
}
},
extractValue: true,
valueRelation: 'risk_score',
aggregator: 'owa',
owaWeights: [0.5, 0.3, 0.2]
},
right: {
rule: {
union: {
rules: [
{ type: 'direct', relation: 'risk_limit' },
{ type: 'direct', relation: 'risk_cap' }
],
aggregator: 'owa',
owaWeights: [0.6, 0.4]
}
},
extractValue: true,
valueRelation: 'risk_limit',
evaluateFrom: 'object',
aggregator: 'owa',
owaWeights: [0.6, 0.4]
}
});
}
function resetSortCounter() {
OWAFusion.sortCounter = { total: 0, byMode: {}, byMethod: {} };
return OWAFusion.sortCounter;
}
function snapshotSortCounter() {
const counter = OWAFusion.sortCounter || { total: 0, byMode: {}, byMethod: {} };
return {
total: counter.total || 0,
byMode: { ...counter.byMode },
byMethod: { ...counter.byMethod }
};
}
function runTrace(arbiter, relation, userKey, objectKey, label) {
resetSortCounter();
const start = process.hrtime.bigint();
const result = arbiter.check(userKey, relation, objectKey, {
fastPath: true,
includeMeta: true,
cacheRuleResult: false
});
const durationMs = Number(process.hrtime.bigint() - start) / 1e6;
const counts = snapshotSortCounter();
console.log(`trace:${label}`);
console.log(` result=${result.possibility.toFixed(3)} duration_ms=${durationMs.toFixed(3)}`);
console.log(` sorts_total=${counts.total}`);
console.log(` sorts_by_method=${JSON.stringify(counts.byMethod)}`);
console.log(` sorts_by_mode=${JSON.stringify(counts.byMode)}`);
}
function runBench(arbiter, relation, size, runs, label, useResourceKey = false) {
const userKey = `user:${Math.floor(size / 2)}`;
const objectKey = `resource:${Math.floor(size / 2)}`;
const subjectKey = useResourceKey ? objectKey : userKey;
const targetKey = useResourceKey ? objectKey : objectKey;
resetSortCounter();
for (let i = 0; i < 200; i++) {
arbiter.check(subjectKey, relation, targetKey, { fastPath: true, cacheRuleResult: false });
}
const start = process.hrtime.bigint();
for (let i = 0; i < runs; i++) {
arbiter.check(subjectKey, relation, targetKey, { fastPath: true, cacheRuleResult: false });
}
const durationMs = Number(process.hrtime.bigint() - start) / 1e6;
const counts = snapshotSortCounter();
const perQuery = durationMs / runs;
const sortsPerQuery = runs > 0 ? counts.total / runs : 0;
console.log(`bench:${label}`);
console.log(` runs=${runs} total_ms=${durationMs.toFixed(2)} per_query_ms=${perQuery.toFixed(4)}`);
console.log(` sorts_total=${counts.total} sorts_per_query=${sortsPerQuery.toFixed(3)}`);
console.log(` sorts_by_method=${JSON.stringify(counts.byMethod)}`);
console.log(` sorts_by_mode=${JSON.stringify(counts.byMode)}`);
}
const args = process.argv.slice(2);
const size = parseArgNumber(args, '--size', 10000);
const runs = parseArgNumber(args, '--runs', 20000);
const traceOne = hasArg(args, '--trace-one');
const profile = hasArg(args, '--profile');
const arbiter = new Arbiter({
enableRuleResultCache: false,
disableCaching: true
});
buildOwaComparatorScenario(arbiter, size);
let profiler = null;
if (profile) {
profiler = new Profiler();
profiler.wrap(arbiter, 'check', 'Arbiter.check');
profiler.wrap(arbiter.authChecker, 'check', 'AuthorizationChecker.check');
profiler.wrap(arbiter.authChecker.ruleEvaluator, 'evaluateRule', 'RuleEvaluator.evaluateRule');
profiler.wrap(arbiter.authChecker.ruleEvaluator.logicalOperators, 'evaluateUnion', 'LogicalOperators.evaluateUnion');
profiler.wrap(arbiter.authChecker.ruleEvaluator.ruleHandlers.direct, 'evaluate', 'DirectRule.evaluate');
const comparator = arbiter.authChecker.ruleEvaluator.ruleHandlers.relational_comparator?.rule;
if (comparator) {
profiler.wrap(comparator, '_evaluateOperand', 'RelationalComparatorRule._evaluateOperand');
profiler.wrap(comparator, '_extractValues', 'RelationalComparatorRule._extractValues');
profiler.wrap(comparator, '_aggregateCrispValues', 'RelationalComparatorRule._aggregateCrispValues');
profiler.wrap(comparator, '_compareBlurredValues', 'RelationalComparatorRule._compareBlurredValues');
}
profiler.wrap(OWAFusion, 'fuseWithMeta', 'OWAFusion.fuseWithMeta');
profiler.wrap(OWAFusion, 'fuseTriplesWithMeta', 'OWAFusion.fuseTriplesWithMeta');
}
if (traceOne) {
const userKey = `user:${Math.floor(size / 2)}`;
const objectKey = `resource:${Math.floor(size / 2)}`;
const resourceKey = objectKey;
runTrace(arbiter, 'risk_union_left', userKey, objectKey, 'union_left');
runTrace(arbiter, 'risk_union_right', resourceKey, resourceKey, 'union_right');
runTrace(arbiter, 'risk_ok_owa', userKey, objectKey, 'comparator_nested');
} else {
runBench(arbiter, 'risk_union_left', size, Math.max(1000, Math.floor(runs / 2)), 'union_left');
runBench(arbiter, 'risk_union_right', size, Math.max(1000, Math.floor(runs / 2)), 'union_right', true);
runBench(arbiter, 'risk_ok_owa', size, runs, 'comparator_nested');
}
if (profiler) {
profiler.report();
}
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import { Arbiter } from '../src/core/Arbiter.js';
function parseArgs(argv) {
const args = new Map();
for (let i = 2; i < argv.length; i++) {
const value = argv[i];
if (!value.startsWith('--')) continue;
const [key, inline] = value.slice(2).split('=');
if (inline !== undefined) {
args.set(key, inline);
continue;
}
const next = argv[i + 1];
if (next && !next.startsWith('--')) {
args.set(key, next);
i++;
} else {
args.set(key, true);
}
}
return args;
}
function parseSizes(value) {
if (!value) return null;
return value.split(',').map(item => Number(item.trim())).filter(Number.isFinite);
}
function createRng(seed) {
let state = seed >>> 0;
return () => {
state = (1664525 * state + 1013904223) >>> 0;
return state / 0x100000000;
};
}
function randInt(rng, max) {
return Math.floor(rng() * max);
}
function buildUsers(arbiter, count, prefix) {
for (let i = 0; i < count; i++) {
arbiter.addNode(`${prefix}:${i}`, prefix);
}
}
function buildOWAUnionScenario(arbiter, size) {
buildUsers(arbiter, size, 'user');
buildUsers(arbiter, size, 'resource');
for (let i = 0; i < size; i++) {
if (i % 3 === 0) {
arbiter.addRelation(`user:${i}`, 'viewer', `resource:${i}`, 0.6);
}
if (i % 5 === 0) {
arbiter.addRelation(`user:${i}`, 'owner', `resource:${i}`, 0.9);
}
}
arbiter.setRelationConfig('viewer', { type: 'direct' });
arbiter.setRelationConfig('owner', { type: 'direct' });
arbiter.setRelationConfig('can_view_owa', {
union: {
rules: [
{ type: 'direct', relation: 'viewer' },
{ type: 'direct', relation: 'owner' }
],
aggregator: 'owa',
owaWeights: [0.7, 0.3]
}
});
}
function buildQueries(size, rng, samples) {
const queries = [];
const half = Math.floor(samples / 2);
for (let i = 0; i < half; i++) {
const userId = randInt(rng, Math.floor(size / 2)) * 3;
queries.push({ userKey: `user:${userId}`, objectKey: `resource:${userId}` });
}
for (let i = 0; i < samples - half; i++) {
const userId = randInt(rng, Math.floor(size / 2)) * 3 + 1;
queries.push({ userKey: `user:${userId}`, objectKey: `resource:${userId}` });
}
return queries;
}
function measure(label, iterations, fn) {
const start = process.hrtime.bigint();
for (let i = 0; i < iterations; i++) {
fn();
}
const elapsedMs = Number(process.hrtime.bigint() - start) / 1e6;
return { label, elapsedMs, qps: elapsedMs > 0 ? Math.round((iterations / elapsedMs) * 1000) : 0 };
}
const args = parseArgs(process.argv);
const config = {
sizes: parseSizes(args.get('sizes')) || [5000, 10000, 20000, 40000],
samples: Number(args.get('samples') || 2000),
seed: Number(args.get('seed') || 42),
maxSeconds: Number(args.get('max-seconds') || 60)
};
const rng = createRng(config.seed);
const startTime = Date.now();
console.log('owa_union_micro_bench');
console.log('size,samples,metric,elapsed_ms,qps');
for (const size of config.sizes) {
if ((Date.now() - startTime) / 1000 > config.maxSeconds) break;
const arbiter = new Arbiter();
buildOWAUnionScenario(arbiter, size);
const queries = buildQueries(size, rng, config.samples);
const directViewer = measure('direct_viewer', queries.length, () => {
const q = queries[randInt(rng, queries.length)];
arbiter.authChecker.check(q.userKey, 'viewer', q.objectKey, { fastPath: true });
});
const directOwner = measure('direct_owner', queries.length, () => {
const q = queries[randInt(rng, queries.length)];
arbiter.authChecker.check(q.userKey, 'owner', q.objectKey, { fastPath: true });
});
const owaUnion = measure('owa_union', queries.length, () => {
const q = queries[randInt(rng, queries.length)];
arbiter.check(q.userKey, 'can_view_owa', q.objectKey, { fastPath: true });
});
for (const metric of [directViewer, directOwner, owaUnion]) {
console.log([size, queries.length, metric.label, Math.round(metric.elapsedMs), metric.qps].join(','));
}
}
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/**
* Targeted B2C Diagnostic Test
*
* Purpose: Diagnose why B2C scenario has:
* 1. False negatives (over-refusing)
* 2. Low QPS (1002 vs 17241 in enterprise)
*
* Hypothesis:
* - SCC bug causing incorrect PLTC queries (fixed, but need to verify)
* - Chain evaluation not finding paths that exist
* - Execution path not using PLTC efficiently
*
* Approach:
* 1. Small controlled graph (50 users, 200 files) for easy inspection
* 2. Trace execution path for each query
* 3. Measure time in each phase
* 4. Verify SCC correctness
* 5. Verify PLTC queries
* 6. Verify chain evaluation
*/
import { Arbiter } from '../src/index.js';
// Helper function to generate preferential attachment edges (from original test)
function generatePreferentialAttachmentEdges(numNodes, avgDegree) {
const edges = [];
const degrees = new Array(numNodes).fill(0);
// Start with a small clique
for (let i = 0; i < Math.min(5, numNodes); i++) {
for (let j = i + 1; j < Math.min(5, numNodes); j++) {
edges.push([i, j]);
degrees[i]++;
degrees[j]++;
}
}
// Preferential attachment
const totalEdges = Math.floor((numNodes * avgDegree) / 2);
for (let i = edges.length; i < totalEdges; i++) {
// Select source node with probability proportional to degree
let src = Math.floor(Math.random() * numNodes);
const srcProb = degrees[src] / (edges.length * 2 + 1);
if (Math.random() > srcProb) {
src = Math.floor(Math.random() * numNodes);
}
// Select target node with probability proportional to degree
let dst = Math.floor(Math.random() * numNodes);
while (dst === src) {
dst = Math.floor(Math.random() * numNodes);
}
const dstProb = degrees[dst] / (edges.length * 2 + 1);
if (Math.random() > dstProb) {
dst = Math.floor(Math.random() * numNodes);
while (dst === src) {
dst = Math.floor(Math.random() * numNodes);
}
}
edges.push([src, dst]);
degrees[src]++;
degrees[dst]++;
}
return edges;
}
// Small controlled B2C scenario
function setupSmallB2C() {
const arbiter = new Arbiter({
fastConstructionMode: true,
enableInference: false
});
const numUsers = 50;
const numFiles = 200;
// Create users
const users = [];
for (let i = 0; i < numUsers; i++) {
const userKey = `user:user${i}`;
users.push(userKey);
arbiter.addNode(userKey, 'user');
}
// Create a controlled friend graph (not random)
// Create 3 friend clusters with some cross-connections
console.log(' Building controlled friend graph...');
const clusters = [
users.slice(0, 15), // Cluster 1: users 0-14
users.slice(15, 30), // Cluster 2: users 15-29
users.slice(30, 50) // Cluster 3: users 30-49
];
// Within-cluster friendships (bidirectional)
for (const cluster of clusters) {
for (let i = 0; i < cluster.length; i++) {
for (let j = i + 1; j < Math.min(i + 5, cluster.length); j++) {
arbiter.addRelation(cluster[i], 'friend', cluster[j]);
arbiter.addRelation(cluster[j], 'friend', cluster[i]);
}
}
}
// Cross-cluster connections (fewer, for friend-of-friend testing)
for (let i = 0; i < 5; i++) {
const u1 = clusters[0][Math.floor(Math.random() * clusters[0].length)];
const u2 = clusters[1][Math.floor(Math.random() * clusters[1].length)];
arbiter.addRelation(u1, 'friend', u2);
arbiter.addRelation(u2, 'friend', u1);
}
// Create files with known owners
console.log(' Creating files with known owners...');
const files = [];
for (let i = 0; i < numFiles; i++) {
const fileKey = `file:file${i}`;
files.push(fileKey);
arbiter.addNode(fileKey, 'file');
// Assign owner: first 100 files to cluster 1, next 50 to cluster 2, rest to cluster 3
let owner;
if (i < 100) {
owner = clusters[0][i % clusters[0].length];
} else if (i < 150) {
owner = clusters[1][(i - 100) % clusters[1].length];
} else {
owner = clusters[2][(i - 150) % clusters[2].length];
}
arbiter.addRelation(owner, 'owns', fileKey);
}
// Configure relations
arbiter.setRelationConfig('friend', { type: 'direct' });
arbiter.setRelationConfig('owns', { type: 'direct' });
// Chain rule: friend_file = user -> friend -> owns -> file
arbiter.setRelationConfig('friend_file', {
type: 'chain',
steps: [
{ relation: 'friend', direction: 'out' },
{ relation: 'owns', direction: 'out' }
]
});
// Friend-of-friend rule: user -> friend -> friend -> owns -> file
arbiter.setRelationConfig('friend_of_friend_file', {
type: 'chain',
steps: [
{ relation: 'friend', direction: 'out' },
{ relation: 'friend', direction: 'out' },
{ relation: 'owns', direction: 'out' }
]
});
console.log(` Created ${arbiter.relations.length} relations`);
console.log(` ${numUsers} users, ${numFiles} files`);
return { arbiter, users, files, clusters };
}
// Generate test queries with known expected results
function generateTestQueries(setup) {
const { arbiter, users, files, clusters } = setup;
const queries = [];
// Build helper maps to find actual valid paths
const userToFriends = new Map();
const friendToFiles = new Map();
for (const rel of arbiter.relations) {
const srcKey = arbiter.keyByNodeId.get(rel.src);
const dstKey = arbiter.keyByNodeId.get(rel.dst);
if (!srcKey || !dstKey) continue;
const relName = rel.rel || rel.relation;
if (relName === 'friend') {
if (!userToFriends.has(srcKey)) userToFriends.set(srcKey, []);
userToFriends.get(srcKey).push(dstKey);
} else if (relName === 'owns' && users.includes(srcKey) && files.includes(dstKey)) {
if (!friendToFiles.has(srcKey)) friendToFiles.set(srcKey, []);
friendToFiles.get(srcKey).push(dstKey);
}
}
// Test Case 1: Direct friend file access (should PASS)
// Find a user with a friend who owns a file
let foundFriendFile = false;
for (const user of users) {
const friends = userToFriends.get(user) || [];
for (const friend of friends) {
const friendFiles = friendToFiles.get(friend) || [];
if (friendFiles.length > 0) {
queries.push({
sourceKey: user,
targetKey: friendFiles[0],
relation: 'friend_file',
expected: true,
description: `Direct friend file access: ${user} -> friend -> ${friend} -> owns -> ${friendFiles[0]}`
});
foundFriendFile = true;
break;
}
}
if (foundFriendFile) break;
}
// Test Case 2: Friend-of-friend file access (should PASS)
// Find a user -> friend -> friend -> owns -> file path
let foundFoFFile = false;
for (const user of users) {
const friends = userToFriends.get(user) || [];
for (const friend of friends) {
const friendFriends = userToFriends.get(friend) || [];
for (const fof of friendFriends) {
if (fof === user) continue; // Skip self
const fofFiles = friendToFiles.get(fof) || [];
if (fofFiles.length > 0) {
queries.push({
sourceKey: user,
targetKey: fofFiles[0],
relation: 'friend_of_friend_file',
expected: true,
description: `Friend-of-friend file access: ${user} -> ${friend} -> ${fof} -> owns -> ${fofFiles[0]}`
});
foundFoFFile = true;
break;
}
}
if (foundFoFFile) break;
}
if (foundFoFFile) break;
}
// Test Case 3: No path (should FAIL)
// Find a file owned by a user with no connection to source
queries.push({
sourceKey: clusters[0][0],
targetKey: 'file:file150', // Owned by cluster 3, no connection
relation: 'friend_file',
expected: false,
description: 'No path (different cluster, no connection)'
});
// Test Case 4: Direct ownership (should PASS via 'owns', not chain)
queries.push({
sourceKey: clusters[0][0],
targetKey: 'file:file0',
relation: 'owns',
expected: true,
description: 'Direct ownership'
});
// Test Case 5: Simple friend_file within cluster (should PASS)
// Find a user -> friend -> owns -> file path within same cluster
for (const user of clusters[0]) {
const friends = userToFriends.get(user) || [];
for (const friend of friends) {
if (!clusters[0].includes(friend)) continue; // Must be in same cluster
const friendFiles = friendToFiles.get(friend) || [];
if (friendFiles.length > 0) {
queries.push({
sourceKey: user,
targetKey: friendFiles[0],
relation: 'friend_file',
expected: true,
description: `Friend file access within cluster: ${user} -> ${friend} -> owns -> ${friendFiles[0]}`
});
return queries; // Found all test cases
}
}
}
return queries;
}
// Trace execution path for a single query
function traceQuery(arbiter, query) {
const { sourceKey, targetKey, relation } = query;
const trace = {
query,
timings: {},
results: {},
path: []
};
const sourceId = arbiter.nodeIdByKey.get(sourceKey);
const targetId = arbiter.nodeIdByKey.get(targetKey);
trace.path.push(`Query: ${sourceKey} -> ${targetKey} (${relation})`);
trace.path.push(`Node IDs: ${sourceId} -> ${targetId}`);
// Phase 1: PLTC reachability check
const rc = arbiter.graphManager.operations.reachabilityChecker;
const pltcStart = Date.now();
if (rc && rc.pltcIndex && rc.pltcIndex.initialized) {
// PLTC handles SCC internally - query directly with original node IDs
const pltcQuery = rc.pltcIndex.query(sourceId, targetId);
const isReachable = arbiter.isReachable(sourceKey, targetKey);
trace.timings.pltc = Date.now() - pltcStart;
trace.results.pltc = {
pltcQuery,
isReachable
};
trace.path.push(`PLTC: query=${pltcQuery}, isReachable=${isReachable}`);
} else {
trace.results.pltc = { error: 'PLTC not initialized' };
}
// Phase 2: Authorization check (full chain evaluation)
const authStart = Date.now();
const authResult = arbiter.check(sourceKey, relation, targetKey, { noInfer: true });
trace.timings.auth = Date.now() - authStart;
const authPass = authResult && authResult.possibility > 0;
trace.results.auth = {
result: authResult,
pass: authPass,
method: authResult?.meta?.method || 'unknown'
};
trace.path.push(`Auth: ${authPass ? 'ALLOW' : 'DENY'} (method: ${trace.results.auth.method})`);
// Phase 3: Manual chain traversal (if chain rule)
if (relation === 'friend_file' || relation === 'friend_of_friend_file') {
trace.path.push(`Manual chain traversal:`);
const relationConfig = arbiter.relationConfigs.get(relation);
if (relationConfig && relationConfig.type === 'chain') {
const steps = relationConfig.steps;
trace.path.push(` Steps: ${steps.map(s => `${s.relation}:${s.direction}`).join(' -> ')}`);
// Manually trace the chain
let currentNodes = [sourceId];
for (let stepIdx = 0; stepIdx < steps.length; stepIdx++) {
const step = steps[stepIdx];
const nextNodes = [];
for (const nodeId of currentNodes) {
const nodeKey = arbiter.keyByNodeId.get(nodeId);
const outgoing = arbiter.relations.filter(r =>
r.src === nodeId && (r.rel || r.relation) === step.relation
);
trace.path.push(` Step ${stepIdx + 1} (${step.relation}): ${nodeKey} has ${outgoing.length} outgoing edges`);
for (const rel of outgoing) {
nextNodes.push(rel.dst);
const dstKey = arbiter.keyByNodeId.get(rel.dst);
trace.path.push(`${dstKey}`);
}
}
currentNodes = nextNodes;
// Check if target is reachable at this step
if (currentNodes.includes(targetId)) {
trace.path.push(` ✓ Target reached at step ${stepIdx + 1}!`);
break;
}
}
if (!currentNodes.includes(targetId)) {
trace.path.push(` ✗ Target not reached through chain`);
}
}
}
return trace;
}
// Main diagnostic function
function runDiagnostics() {
console.log('🔬 B2C Diagnostic Test\n');
console.log('='.repeat(60));
// Setup
const setup = setupSmallB2C();
const { arbiter } = setup;
// Initialize PLTC
console.log('\n⚡ Initializing PLTC...');
const initStart = Date.now();
arbiter.graphManager.initializeReachabilityChecker();
const initTime = Date.now() - initStart;
const rc = arbiter.graphManager.operations.reachabilityChecker;
console.log(` Initialization time: ${initTime}ms`);
console.log(` PLTC initialized: ${rc.pltcIndex.initialized}`);
console.log(` Graph edges: ${rc.pltcIndex.graph.edges.size}`);
console.log(` SCC count: ${rc.pltcIndex.sccUnionFind?.getComponentCount() || 'N/A'}`);
// Generate test queries
const queries = generateTestQueries(setup);
// Trace each query
console.log('\n📊 Tracing queries...');
const allTraces = [];
let totalPLTCTime = 0;
let totalAuthTime = 0;
for (const query of queries) {
console.log(`\n${'-'.repeat(60)}`);
console.log(`Query: ${query.description}`);
console.log(` ${query.sourceKey} -> ${query.targetKey} (${query.relation})`);
console.log(` Expected: ${query.expected ? 'PASS' : 'FAIL'}`);
const trace = traceQuery(arbiter, query);
allTraces.push(trace);
totalPLTCTime += trace.timings.pltc || 0;
totalAuthTime += trace.timings.auth || 0;
// Print trace
for (const line of trace.path) {
console.log(` ${line}`);
}
// Check result
const actual = trace.results.auth.pass;
const match = actual === query.expected;
console.log(` Result: ${actual ? 'PASS' : 'FAIL'} ${match ? '✓' : '❌'} (Expected: ${query.expected ? 'PASS' : 'FAIL'})`);
if (!match) {
console.log(` ⚠️ MISMATCH!`);
if (query.expected && !actual) {
console.log(` False negative: Should pass but failed`);
console.log(` PLTC query: ${trace.results.pltc?.pltcQuery}`);
console.log(` isReachable: ${trace.results.pltc?.isReachable}`);
} else {
console.log(` False positive: Should fail but passed`);
}
}
}
// Performance summary
console.log(`\n${'='.repeat(60)}`);
console.log('Performance Summary:');
console.log('='.repeat(60));
console.log(`Total queries: ${queries.length}`);
console.log(`Total PLTC time: ${totalPLTCTime}ms (${(totalPLTCTime / queries.length).toFixed(2)}ms/query)`);
console.log(`Total Auth time: ${totalAuthTime}ms (${(totalAuthTime / queries.length).toFixed(2)}ms/query)`);
const pltcQPS = totalPLTCTime > 0 ? Math.round(queries.length / (totalPLTCTime / 1000)) : 'N/A';
const authQPS = totalAuthTime > 0 ? Math.round(queries.length / (totalAuthTime / 1000)) : 'N/A';
console.log(`PLTC QPS: ${pltcQPS}`);
console.log(`Auth QPS: ${authQPS}`);
// Accuracy summary
const correct = allTraces.filter((t, i) =>
t.results.auth.pass === queries[i].expected
).length;
console.log(`\nAccuracy: ${correct}/${queries.length} (${(correct / queries.length * 100).toFixed(1)}%)`);
// Diagnose issues
console.log(`\n${'='.repeat(60)}`);
console.log('Diagnosis:');
console.log('='.repeat(60));
const falseNegatives = allTraces.filter((t, i) =>
queries[i].expected && !t.results.auth.pass
);
if (falseNegatives.length > 0) {
console.log(`\n⚠️ False Negatives (${falseNegatives.length}):`);
for (const trace of falseNegatives) {
console.log(` ${trace.query.description}`);
console.log(` PLTC query: ${trace.results.pltc?.pltcQuery}`);
console.log(` isReachable: ${trace.results.pltc?.isReachable}`);
console.log(` Auth method: ${trace.results.auth.method}`);
}
}
const falsePositives = allTraces.filter((t, i) =>
!queries[i].expected && t.results.auth.pass
);
if (falsePositives.length > 0) {
console.log(`\n⚠️ False Positives (${falsePositives.length}):`);
for (const trace of falsePositives) {
console.log(` ${trace.query.description}`);
}
}
if (falseNegatives.length === 0 && falsePositives.length === 0) {
console.log(`\n✓ All queries correct!`);
}
// Performance analysis: Why is QPS low in full scenario?
console.log(`\n${'='.repeat(60)}`);
console.log('Performance Analysis:');
console.log('='.repeat(60));
const avgPLTCTime = totalPLTCTime / queries.length;
const avgAuthTime = totalAuthTime / queries.length;
const pltcFastFail = allTraces.filter(t =>
t.results.auth.method === 'pltc_fast_fail'
).length;
const pltcPass = allTraces.filter(t =>
t.results.pltc?.pltcQuery === true && t.results.auth.pass
).length;
console.log(`Average PLTC time: ${avgPLTCTime.toFixed(2)}ms`);
console.log(`Average Auth time: ${avgAuthTime.toFixed(2)}ms`);
console.log(`PLTC fast-fail count: ${pltcFastFail}`);
console.log(`PLTC pass (true positive): ${pltcPass}`);
console.log(`\nObservations:`);
console.log(` - PLTC is ${(avgPLTCTime / avgAuthTime).toFixed(1)}x faster than full auth check`);
console.log(` - ${((pltcFastFail / queries.length) * 100).toFixed(1)}% queries fast-failed by PLTC`);
console.log(` - ${((pltcPass / queries.length) * 100).toFixed(1)}% queries passed PLTC and auth`);
// Check if chain evaluation is the bottleneck
const chainQueries = queries.filter(q => q.relation === 'friend_file' || q.relation === 'friend_of_friend_file');
if (chainQueries.length > 0) {
const chainTraces = allTraces.filter((t, i) =>
chainQueries.some(cq => cq === queries[i])
);
const avgChainTime = chainTraces.reduce((sum, t) => sum + (t.timings.auth || 0), 0) / chainTraces.length;
console.log(` - Average chain evaluation time: ${avgChainTime.toFixed(2)}ms`);
console.log(` - Chain queries: ${chainQueries.length}/${queries.length}`);
}
// Debug: Check if PLTC is missing paths due to condensation
console.log(`\n${'='.repeat(60)}`);
console.log('PLTC Path Verification:');
console.log('='.repeat(60));
// For each chain query, verify if PLTC should see the path
for (let i = 0; i < queries.length; i++) {
const query = queries[i];
const trace = allTraces[i];
if (query.relation === 'friend_file' || query.relation === 'friend_of_friend_file') {
const sourceId = arbiter.nodeIdByKey.get(query.sourceKey);
const targetId = arbiter.nodeIdByKey.get(query.targetKey);
// PLTC handles SCC internally - query directly
const pltcQuery = rc.pltcIndex.query(sourceId, targetId);
console.log(`\nQuery: ${query.sourceKey} -> ${query.targetKey} (${query.relation})`);
console.log(` PLTC query result: ${pltcQuery}`);
console.log(` Expected PLTC result: ${query.expected ? 'true' : 'false'}`);
if (pltcQuery !== query.expected && query.expected) {
console.log(` ⚠️ PLTC MISMATCH: Expected true but got ${pltcQuery}`);
console.log(` This suggests PLTC's transitive closure is missing the path`);
}
}
}
}
runDiagnostics();
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import { Arbiter } from '../src/core/Arbiter.js';
const arbiter = new Arbiter();
const SIZE = 5000;
// Build scenario
for (let i = 0; i < SIZE; i++) {
arbiter.addNode(`user:${i}`, 'user');
arbiter.addNode(`resource:${i}`, 'resource');
const isSafe = i % 2 === 0;
arbiter.addRelation(`user:${i}`, 'risk_score', `resource:${i}`, 1.0, { value: isSafe ? 20 : 80 });
arbiter.addRelation(`user:${i}`, 'risk_bonus', `resource:${i}`, 1.0, { value: isSafe ? 5 : 15 });
arbiter.addRelation(`user:${i}`, 'risk_noise', `resource:${i}`, 1.0, { value: isSafe ? 0 : 10 });
arbiter.addRelation(`resource:${i}`, 'risk_limit', `resource:${i}`, 1.0, { value: 40 });
arbiter.addRelation(`resource:${i}`, 'risk_cap', `resource:${i}`, 1.0, { value: 45 });
}
['risk_score', 'risk_bonus', 'risk_noise', 'risk_limit', 'risk_cap'].forEach(r =>
arbiter.setRelationConfig(r, { type: 'direct' }));
arbiter.setRelationConfig('risk_ok_owa', {
type: 'relational_comparator',
comparator: '<=',
fallbackBehavior: 'deny',
left: {
rule: {
union: {
rules: [
{ type: 'direct', relation: 'risk_score' },
{ type: 'direct', relation: 'risk_bonus' },
{ type: 'direct', relation: 'risk_noise' }
],
aggregator: 'owa',
owaWeights: [0.5, 0.3, 0.2]
}
},
extractValue: true,
valueRelation: 'risk_score',
aggregator: 'owa',
owaWeights: [0.5, 0.3, 0.2]
},
right: {
rule: {
union: {
rules: [
{ type: 'direct', relation: 'risk_limit' },
{ type: 'direct', relation: 'risk_cap' }
],
aggregator: 'owa',
owaWeights: [0.6, 0.4]
}
},
extractValue: true,
valueRelation: 'risk_limit',
evaluateFrom: 'object',
aggregator: 'owa',
owaWeights: [0.6, 0.4]
}
});
// Warm up
for (let i = 0; i < 100; i++) {
arbiter.check(`user:${i}`, 'risk_ok_owa', `resource:${i}`, { fastPath: true });
}
const ITERATIONS = 2000;
function measure(label, fn) {
const start = process.hrtime.bigint();
for (let i = 0; i < ITERATIONS; i++) fn(i % SIZE);
const ms = Number(process.hrtime.bigint() - start) / 1e6;
return { label, ms, qps: Math.round((ITERATIONS / ms) * 1000), perOp: ms / ITERATIONS };
}
console.log('=== AuthChecker.check() Breakdown ===\n');
const config = arbiter.relationConfigs.get('risk_ok_owa');
const ruleEval = arbiter.authChecker.ruleEvaluator;
// What AuthChecker.check does for a relational_comparator:
// 1. Parse options (backward compat check)
// 2. Get config from relationConfigs
// 3. Check if fast path (NO - it's relational_comparator, not direct)
// 4. Call _ensureIndicesBuilt
// 5. Create visitKey object
// 6. Scan visited set for cycles
// 7. Add visitKey to visited
// 8. Get userId and objectId from nodeIdByKey
// 9. Check if config exists
// 10. Build evaluationPath object
// 11. Call ruleEvaluator.evaluateRule (since no union/intersection/exclusion at top level)
// 12. Iterate through collected rules and call ruleEvaluator for each
// 13. Build result object with meta
// Let's measure each step
// Step 1-2: Options parsing + config lookup
const configGet = measure('Config lookup', () => {
arbiter.relationConfigs.get('risk_ok_owa');
});
console.log(`Config lookup: ${(configGet.perOp * 1000).toFixed(3)}µs`);
// Step 4: _ensureIndicesBuilt
const ensureIndices = measure('_ensureIndicesBuilt', () => {
arbiter.relationManager._ensureIndicesBuilt();
});
console.log(`_ensureIndicesBuilt: ${(ensureIndices.perOp * 1000).toFixed(3)}µs`);
// Step 5: Create visitKey object
const createVisitKey = measure('Create visitKey object', (idx) => {
const visitKey = { userKey: `user:${idx}`, relation: 'risk_ok_owa', objectKey: `resource:${idx}` };
});
console.log(`Create visitKey: ${(createVisitKey.perOp * 1000).toFixed(3)}µs`);
// Step 6: Scan visited set (empty)
const visited = new Set();
const scanEmpty = measure('Scan empty visited', () => {
for (const v of visited) {
if (v.userKey === 'user:0') break;
}
});
console.log(`Scan empty visited: ${(scanEmpty.perOp * 1000).toFixed(3)}µs`);
// Step 7: Add to visited
const addVisited = measure('Add to visited', (idx) => {
const s = new Set();
s.add({ userKey: `user:${idx}`, relation: 'risk_ok_owa', objectKey: `resource:${idx}` });
});
console.log(`Add to visited (new Set + add): ${(addVisited.perOp * 1000).toFixed(3)}µs`);
// Step 8: Get IDs
const getIds = measure('Get user/object IDs', (idx) => {
arbiter.nodeIdByKey.get(`user:${idx}`);
arbiter.nodeIdByKey.get(`resource:${idx}`);
});
console.log(`Get IDs: ${(getIds.perOp * 1000).toFixed(3)}µs`);
// Step 10: Build evaluationPath object
const buildEvalPath = measure('Build evaluationPath object', (idx) => {
const evaluationPath = {
userKey: `user:${idx}`,
relation: 'risk_ok_owa',
objectKey: `resource:${idx}`,
config: config,
rules: [],
visitedPath: [] // Would be Array.from(_visited) but that's expensive
};
});
console.log(`Build evaluationPath: ${(buildEvalPath.perOp * 1000).toFixed(3)}µs`);
// Step 10b: Array.from(_visited) - THIS IS LIKELY EXPENSIVE
const visitedWith5 = new Set();
for (let i = 0; i < 5; i++) {
visitedWith5.add({ userKey: `user:${i}`, relation: 'test', objectKey: `resource:${i}` });
}
const arrayFrom = measure('Array.from(visited) with 5 entries', () => {
Array.from(visitedWith5);
});
console.log(`Array.from(visited) x5: ${(arrayFrom.perOp * 1000).toFixed(3)}µs`);
// Step 11: ruleEvaluator.evaluateRule for comparator
const evalRule = measure('ruleEvaluator.evaluateRule', (idx) => {
const userId = arbiter.nodeIdByKey.get(`user:${idx}`);
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
ruleEval.evaluateRule(userId, `user:${idx}`, objectId, `resource:${idx}`,
config, new Set(), 'risk_ok_owa', { fastPath: true });
});
console.log(`ruleEvaluator.evaluateRule: ${(evalRule.perOp * 1000).toFixed(3)}µs`);
// Full check for comparison
const fullCheck = measure('Full arbiter.check', (idx) => {
arbiter.check(`user:${idx}`, 'risk_ok_owa', `resource:${idx}`, { fastPath: true });
});
console.log(`Full arbiter.check: ${(fullCheck.perOp * 1000).toFixed(3)}µs`);
// Difference analysis
const overhead = fullCheck.perOp - evalRule.perOp;
console.log(`\n=== AuthChecker overhead: ${(overhead * 1000).toFixed(2)}µs ===`);
// What's causing it?
const sumOfParts = configGet.perOp + ensureIndices.perOp + createVisitKey.perOp +
addVisited.perOp + getIds.perOp + buildEvalPath.perOp + arrayFrom.perOp;
console.log(`Sum of measured parts: ${(sumOfParts * 1000).toFixed(2)}µs`);
console.log(`Unaccounted overhead: ${((overhead - sumOfParts) * 1000).toFixed(2)}µs`);
// Check what happens inside RuleEvaluator.evaluateRule
console.log('\n=== RuleEvaluator.evaluateRule Breakdown ===\n');
// The evaluateRule does:
// 1. Extract binary, valueContext from options
// 2. Convert string IDs to numeric (already numeric here)
// 3. Check if rule needs values (_ruleRequiresValues) - THIS COULD BE EXPENSIVE
// 4. Create enhanced options
// 5. Route to handler
const needsValues = measure('_ruleRequiresValues', () => {
ruleEval._ruleRequiresValues(config, new Set());
});
console.log(`_ruleRequiresValues: ${(needsValues.perOp * 1000).toFixed(3)}µs`);
// Handler.evaluate directly
const handler = ruleEval.ruleHandlers.relational_comparator;
const handlerEval = measure('handler.evaluate (direct)', (idx) => {
const userId = arbiter.nodeIdByKey.get(`user:${idx}`);
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
handler.evaluate(userId, `user:${idx}`, objectId, `resource:${idx}`,
config, new Set(), 'risk_ok_owa', { fastPath: true });
});
console.log(`handler.evaluate: ${(handlerEval.perOp * 1000).toFixed(3)}µs`);
// Check _ruleRequiresValues deeply
console.log('\n=== _ruleRequiresValues Analysis ===\n');
// This recursively checks the rule tree
// For relational_comparator, it returns true immediately
// But does it actually traverse?
const visited2 = new Set();
const start = process.hrtime.bigint();
for (let i = 0; i < 10000; i++) {
visited2.clear();
ruleEval._ruleRequiresValues(config, visited2);
}
const requiresMs = Number(process.hrtime.bigint() - start) / 1e6;
console.log(`_ruleRequiresValues (10k iterations): ${requiresMs.toFixed(2)}ms`);
console.log(`Per call: ${(requiresMs / 10).toFixed(3)}µs`);
// Actually look at what the method does for relational_comparator
console.log(`\nrule.type = '${config.type}'`);
console.log(`_ruleRequiresValues returns true immediately for relational_comparator`);
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import { Arbiter } from '../src/core/Arbiter.js';
const arbiter = new Arbiter();
const SIZE = 5000;
// Build scenario
for (let i = 0; i < SIZE; i++) {
arbiter.addNode(`user:${i}`, 'user');
arbiter.addNode(`resource:${i}`, 'resource');
const isSafe = i % 2 === 0;
arbiter.addRelation(`user:${i}`, 'risk_score', `resource:${i}`, 1.0, { value: isSafe ? 20 : 80 });
arbiter.addRelation(`user:${i}`, 'risk_bonus', `resource:${i}`, 1.0, { value: isSafe ? 5 : 15 });
arbiter.addRelation(`user:${i}`, 'risk_noise', `resource:${i}`, 1.0, { value: isSafe ? 0 : 10 });
arbiter.addRelation(`resource:${i}`, 'risk_limit', `resource:${i}`, 1.0, { value: 40 });
arbiter.addRelation(`resource:${i}`, 'risk_cap', `resource:${i}`, 1.0, { value: 45 });
}
['risk_score', 'risk_bonus', 'risk_noise', 'risk_limit', 'risk_cap'].forEach(r =>
arbiter.setRelationConfig(r, { type: 'direct' }));
arbiter.setRelationConfig('risk_ok_owa', {
type: 'relational_comparator',
comparator: '<=',
fallbackBehavior: 'deny',
left: {
rule: {
union: {
rules: [
{ type: 'direct', relation: 'risk_score' },
{ type: 'direct', relation: 'risk_bonus' },
{ type: 'direct', relation: 'risk_noise' }
],
aggregator: 'owa',
owaWeights: [0.5, 0.3, 0.2]
}
},
extractValue: true,
valueRelation: 'risk_score',
aggregator: 'owa',
owaWeights: [0.5, 0.3, 0.2]
},
right: {
rule: {
union: {
rules: [
{ type: 'direct', relation: 'risk_limit' },
{ type: 'direct', relation: 'risk_cap' }
],
aggregator: 'owa',
owaWeights: [0.6, 0.4]
}
},
extractValue: true,
valueRelation: 'risk_limit',
evaluateFrom: 'object',
aggregator: 'owa',
owaWeights: [0.6, 0.4]
}
});
// Warm up
for (let i = 0; i < 100; i++) {
arbiter.check(`user:${i}`, 'risk_ok_owa', `resource:${i}`, { fastPath: true });
}
const ITERATIONS = 2000;
function measure(label, fn) {
const start = process.hrtime.bigint();
for (let i = 0; i < ITERATIONS; i++) fn(i % SIZE);
const ms = Number(process.hrtime.bigint() - start) / 1e6;
return { label, ms, qps: Math.round((ITERATIONS / ms) * 1000), perOp: ms / ITERATIONS };
}
console.log('=== BASELINE MEASUREMENTS ===\n');
// Baseline: single direct check
const directCheck = measure('Direct check (single)', (idx) => {
arbiter.check(`user:${idx}`, 'risk_score', `resource:${idx}`, { fastPath: true });
});
console.log(`${directCheck.label}: ${directCheck.qps} QPS (${(directCheck.perOp * 1000).toFixed(2)}µs/op)`);
// Full comparator check
const fullCheck = measure('Full comparator check', (idx) => {
arbiter.check(`user:${idx}`, 'risk_ok_owa', `resource:${idx}`, { fastPath: true });
});
console.log(`${fullCheck.label}: ${fullCheck.qps} QPS (${(fullCheck.perOp * 1000).toFixed(2)}µs/op)`);
console.log(`\nSlowdown: ${(fullCheck.perOp / directCheck.perOp).toFixed(1)}x`);
console.log(`Extra time per check: ${((fullCheck.perOp - directCheck.perOp) * 1000).toFixed(2)}µs`);
console.log('\n=== COMPONENT BREAKDOWN ===\n');
// What does a comparator check actually do?
// 1. Resolve node IDs (2x)
// 2. Get relation config
// 3. Cycle detection (visited set scan)
// 4. Left operand: evaluate union (3 direct rules) + extract values + aggregate
// 5. Right operand: evaluate union (2 direct rules) + extract values + aggregate
// 6. Compare intervals
// 7. Build result meta
// Measure individual components
const ruleEval = arbiter.authChecker.ruleEvaluator;
const comparatorHandler = ruleEval.ruleHandlers.relational_comparator.numericRule;
const config = arbiter.relationConfigs.get('risk_ok_owa');
// Component 1: Node ID resolution (2 lookups)
const nodeIdLookup = measure('Node ID lookup (2x)', (idx) => {
arbiter.nodeIdByKey.get(`user:${idx}`);
arbiter.nodeIdByKey.get(`resource:${idx}`);
});
console.log(`${nodeIdLookup.label}: ${(nodeIdLookup.perOp * 1000).toFixed(3)}µs`);
// Component 2: Config lookup
const configLookup = measure('Config lookup', () => {
arbiter.relationConfigs.get('risk_ok_owa');
});
console.log(`${configLookup.label}: ${(configLookup.perOp * 1000).toFixed(3)}µs`);
// Component 3: Direct check via indices (what union does internally per rule)
const directIndex = measure('Direct index lookup', (idx) => {
const userId = arbiter.nodeIdByKey.get(`user:${idx}`);
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
arbiter.indices.getDirectRelation(userId, 'risk_score', objectId);
});
console.log(`${directIndex.label}: ${(directIndex.perOp * 1000).toFixed(3)}µs`);
// Component 4: Evaluate a single direct rule via ruleEvaluator
const singleDirect = measure('Single direct rule eval', (idx) => {
const userId = arbiter.nodeIdByKey.get(`user:${idx}`);
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
ruleEval.evaluateRule(userId, `user:${idx}`, objectId, `resource:${idx}`,
{ type: 'direct', relation: 'risk_score' }, new Set(), 'test', { fastPath: true });
});
console.log(`${singleDirect.label}: ${(singleDirect.perOp * 1000).toFixed(3)}µs`);
// Component 5: Union of 3 direct rules
const union3 = measure('Union (3 direct rules)', (idx) => {
const userId = arbiter.nodeIdByKey.get(`user:${idx}`);
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
ruleEval.evaluateRule(userId, `user:${idx}`, objectId, `resource:${idx}`,
config.left.rule, new Set(), 'test', { fastPath: true });
});
console.log(`${union3.label}: ${(union3.perOp * 1000).toFixed(3)}µs`);
// Component 6: Union of 2 direct rules
const union2 = measure('Union (2 direct rules)', (idx) => {
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
ruleEval.evaluateRule(objectId, `resource:${idx}`, objectId, `resource:${idx}`,
config.right.rule, new Set(), 'test', { fastPath: true });
});
console.log(`${union2.label}: ${(union2.perOp * 1000).toFixed(3)}µs`);
// Component 7: _evaluateOperand (left) - includes union + extract + aggregate
const leftOp = measure('Left _evaluateOperand', (idx) => {
const userId = arbiter.nodeIdByKey.get(`user:${idx}`);
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
comparatorHandler._evaluateOperand(
userId, `user:${idx}`, objectId, `resource:${idx}`,
config.left, new Set(), 'test', { fastPath: true }, 'left', 1.0, null
);
});
console.log(`${leftOp.label}: ${(leftOp.perOp * 1000).toFixed(3)}µs`);
// Component 8: _evaluateOperand (right)
const rightOp = measure('Right _evaluateOperand', (idx) => {
const userId = arbiter.nodeIdByKey.get(`user:${idx}`);
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
comparatorHandler._evaluateOperand(
userId, `user:${idx}`, objectId, `resource:${idx}`,
config.right, new Set(), 'test', { fastPath: true }, 'right', 1.0, null
);
});
console.log(`${rightOp.label}: ${(rightOp.perOp * 1000).toFixed(3)}µs`);
// Component 9: _evaluateRule (both operands + compare)
const evalRule = measure('comparator._evaluateRule', (idx) => {
const userId = arbiter.nodeIdByKey.get(`user:${idx}`);
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
comparatorHandler._evaluateRule(
userId, `user:${idx}`, objectId, `resource:${idx}`,
config, new Set(), 'test', { fastPath: true }
);
});
console.log(`${evalRule.label}: ${(evalRule.perOp * 1000).toFixed(3)}µs`);
console.log('\n=== OVERHEAD ANALYSIS ===\n');
const directIdxTime = directIndex.perOp * 1000;
const singleDirectTime = singleDirect.perOp * 1000;
const union3Time = union3.perOp * 1000;
const leftOpTime = leftOp.perOp * 1000;
const rightOpTime = rightOp.perOp * 1000;
const evalRuleTime = evalRule.perOp * 1000;
const fullCheckTime = fullCheck.perOp * 1000;
console.log(`Index lookup: ${directIdxTime.toFixed(2)}µs`);
console.log(`Single direct rule: ${singleDirectTime.toFixed(2)}µs (+${(singleDirectTime - directIdxTime).toFixed(2)}µs overhead)`);
console.log(`Union (3 rules): ${union3Time.toFixed(2)}µs (expected ~${(singleDirectTime * 3).toFixed(2)}µs, actual overhead: ${(union3Time - singleDirectTime * 3).toFixed(2)}µs)`);
console.log(`Left operand: ${leftOpTime.toFixed(2)}µs (+${(leftOpTime - union3Time).toFixed(2)}µs for extract+aggregate)`);
console.log(`Right operand: ${rightOpTime.toFixed(2)}µs`);
console.log(`_evaluateRule: ${evalRuleTime.toFixed(2)}µs (expected ~${(leftOpTime + rightOpTime).toFixed(2)}µs, actual: ${evalRuleTime.toFixed(2)}µs)`);
console.log(`Full check: ${fullCheckTime.toFixed(2)}µs (+${(fullCheckTime - evalRuleTime).toFixed(2)}µs AuthChecker overhead)`);
console.log('\n=== THEORETICAL VS ACTUAL ===\n');
const theoreticalMin = (singleDirectTime * 5) + 2; // 5 direct lookups + some overhead
console.log(`Theoretical minimum (5 direct lookups): ~${theoreticalMin.toFixed(2)}µs`);
console.log(`Actual: ${fullCheckTime.toFixed(2)}µs`);
console.log(`Overhead factor: ${(fullCheckTime / theoreticalMin).toFixed(1)}x`);
// Check Set creation overhead
console.log('\n=== SET CREATION OVERHEAD ===\n');
const setCreate = measure('new Set()', () => new Set());
const setWithAdd = measure('new Set() + 1 add', () => {
const s = new Set();
s.add({ userKey: 'user:0', relation: 'test', objectKey: 'resource:0' });
});
console.log(`new Set(): ${(setCreate.perOp * 1000).toFixed(3)}µs`);
console.log(`new Set() + 1 object add: ${(setWithAdd.perOp * 1000).toFixed(3)}µs`);
console.log(`Sets created per check: ~6-8`);
console.log(`Total Set overhead: ~${((setCreate.perOp * 7) * 1000).toFixed(2)}µs`);
// Check object allocation in visited scan
console.log('\n=== VISITED SCAN OVERHEAD ===\n');
const visited = new Set();
for (let i = 0; i < 10; i++) {
visited.add({ userKey: `user:${i}`, relation: 'test', objectKey: `resource:${i}` });
}
const visitedScan = measure('Scan visited (10 entries)', () => {
const userKey = 'user:5';
const relation = 'test';
const objectKey = 'resource:5';
for (const v of visited) {
if (v.userKey === userKey && v.relation === relation && v.objectKey === objectKey) break;
}
});
console.log(`Scan 10-entry visited set: ${(visitedScan.perOp * 1000).toFixed(3)}µs`);
console.log(`(This happens at each level of rule evaluation)`);
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import { Arbiter } from '../src/core/Arbiter.js';
const arbiter = new Arbiter();
const SIZE = 5000;
// Build nodes and relations
for (let i = 0; i < SIZE; i++) {
arbiter.addNode(`user:${i}`, 'user');
arbiter.addNode(`resource:${i}`, 'resource');
const isSafe = i % 2 === 0;
arbiter.addRelation(`user:${i}`, 'risk_score', `resource:${i}`, 1.0, { value: isSafe ? 20 : 80 });
arbiter.addRelation(`user:${i}`, 'risk_bonus', `resource:${i}`, 1.0, { value: isSafe ? 5 : 15 });
arbiter.addRelation(`user:${i}`, 'risk_noise', `resource:${i}`, 1.0, { value: isSafe ? 0 : 10 });
arbiter.addRelation(`resource:${i}`, 'risk_limit', `resource:${i}`, 1.0, { value: 40 });
arbiter.addRelation(`resource:${i}`, 'risk_cap', `resource:${i}`, 1.0, { value: 45 });
}
['risk_score', 'risk_bonus', 'risk_noise', 'risk_limit', 'risk_cap'].forEach(r =>
arbiter.setRelationConfig(r, { type: 'direct' }));
const leftRule = {
union: {
rules: [
{ type: 'direct', relation: 'risk_score' },
{ type: 'direct', relation: 'risk_bonus' },
{ type: 'direct', relation: 'risk_noise' }
],
aggregator: 'owa',
owaWeights: [0.5, 0.3, 0.2]
}
};
const rightRule = {
union: {
rules: [
{ type: 'direct', relation: 'risk_limit' },
{ type: 'direct', relation: 'risk_cap' }
],
aggregator: 'owa',
owaWeights: [0.6, 0.4]
}
};
arbiter.setRelationConfig('risk_ok_owa', {
type: 'relational_comparator',
comparator: '<=',
fallbackBehavior: 'deny',
left: {
rule: leftRule,
extractValue: true,
valueRelation: 'risk_score',
aggregator: 'owa',
owaWeights: [0.5, 0.3, 0.2]
},
right: {
rule: rightRule,
extractValue: true,
valueRelation: 'risk_limit',
evaluateFrom: 'object',
aggregator: 'owa',
owaWeights: [0.6, 0.4]
}
});
// Warm up
for (let i = 0; i < 100; i++) {
arbiter.check(`user:${i}`, 'risk_ok_owa', `resource:${i}`, { fastPath: true });
}
const ITERATIONS = 2000;
const comparatorRule = arbiter.authChecker.ruleEvaluator.ruleHandlers.relational_comparator.numericRule;
function measure(label, fn) {
const start = process.hrtime.bigint();
for (let i = 0; i < ITERATIONS; i++) fn(i % SIZE);
const ms = Number(process.hrtime.bigint() - start) / 1e6;
return { label, ms, qps: Math.round((ITERATIONS / ms) * 1000) };
}
// Profile each step of the comparator
const results = [];
// 1. Node ID lookup
results.push(measure('nodeIdLookup', (idx) => {
arbiter.nodeIdByKey.get(`user:${idx}`);
arbiter.nodeIdByKey.get(`resource:${idx}`);
}));
// 2. Left union evaluation
results.push(measure('leftUnionEval', (idx) => {
const userId = arbiter.nodeIdByKey.get(`user:${idx}`);
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
arbiter.authChecker.ruleEvaluator.evaluateRule(
userId, `user:${idx}`, objectId, `resource:${idx}`,
leftRule, new Set(), 'risk_ok_owa', { fastPath: true }
);
}));
// 3. Right union evaluation
results.push(measure('rightUnionEval', (idx) => {
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
arbiter.authChecker.ruleEvaluator.evaluateRule(
objectId, `resource:${idx}`, objectId, `resource:${idx}`,
rightRule, new Set(), 'risk_ok_owa', { fastPath: true }
);
}));
// 4. _extractValues (left)
results.push(measure('leftExtract', (idx) => {
const userId = arbiter.nodeIdByKey.get(`user:${idx}`);
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
const ruleResult = arbiter.authChecker.ruleEvaluator.evaluateRule(
userId, `user:${idx}`, objectId, `resource:${idx}`,
leftRule, new Set(), 'risk_ok_owa', { fastPath: true }
);
comparatorRule._extractValues(
userId, `user:${idx}`, objectId, `resource:${idx}`,
leftRule, 'risk_score', ruleResult, 'auto', null, 24*60*60*1000, null
);
}));
// 5. _extractValues (right)
results.push(measure('rightExtract', (idx) => {
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
const ruleResult = arbiter.authChecker.ruleEvaluator.evaluateRule(
objectId, `resource:${idx}`, objectId, `resource:${idx}`,
rightRule, new Set(), 'risk_ok_owa', { fastPath: true }
);
comparatorRule._extractValues(
objectId, `resource:${idx}`, objectId, `resource:${idx}`,
rightRule, 'risk_limit', ruleResult, 'object', null, 24*60*60*1000, null
);
}));
// 6. Full _evaluateOperand (includes eval + extract + aggregate)
results.push(measure('leftOperand', (idx) => {
const userId = arbiter.nodeIdByKey.get(`user:${idx}`);
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
comparatorRule._evaluateOperand(
userId, `user:${idx}`, objectId, `resource:${idx}`,
{
rule: leftRule,
extractValue: true,
valueRelation: 'risk_score',
aggregator: 'owa',
owaWeights: [0.5, 0.3, 0.2]
},
new Set(), 'risk_ok_owa', { fastPath: true }, 'left', 1.0, null
);
}));
results.push(measure('rightOperand', (idx) => {
const userId = arbiter.nodeIdByKey.get(`user:${idx}`);
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
comparatorRule._evaluateOperand(
userId, `user:${idx}`, objectId, `resource:${idx}`,
{
rule: rightRule,
extractValue: true,
valueRelation: 'risk_limit',
evaluateFrom: 'object',
aggregator: 'owa',
owaWeights: [0.6, 0.4]
},
new Set(), 'risk_ok_owa', { fastPath: true }, 'right', 1.0, null
);
}));
// 7. Full comparator evaluation
results.push(measure('fullComparator', (idx) => {
const userId = arbiter.nodeIdByKey.get(`user:${idx}`);
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
comparatorRule._evaluateRule(
userId, `user:${idx}`, objectId, `resource:${idx}`,
arbiter.relationConfigs.get('risk_ok_owa'),
new Set(), 'risk_ok_owa', { fastPath: true }
);
}));
// 8. Through authChecker (adds visited set, config lookup, etc)
results.push(measure('viaAuthChecker', (idx) => {
arbiter.check(`user:${idx}`, 'risk_ok_owa', `resource:${idx}`, { fastPath: true });
}));
console.log('Profile Results (per iteration):');
console.log('================================');
for (const r of results) {
console.log(`${r.label.padEnd(20)} ${r.ms.toFixed(2).padStart(8)}ms ${r.qps.toString().padStart(8)} QPS`);
}
// Calculate incremental costs
console.log('\n--- Incremental Analysis ---');
const nodeIdMs = results[0].ms;
const leftUnionMs = results[1].ms;
const rightUnionMs = results[2].ms;
const leftExtractMs = results[3].ms;
const rightExtractMs = results[4].ms;
const leftOperandMs = results[5].ms;
const rightOperandMs = results[6].ms;
const fullComparatorMs = results[7].ms;
const viaAuthCheckerMs = results[8].ms;
console.log(`Node ID lookup: ${nodeIdMs.toFixed(2)}ms`);
console.log(`Left union eval only: ${(leftUnionMs - nodeIdMs).toFixed(2)}ms`);
console.log(`Right union eval only: ${(rightUnionMs - nodeIdMs).toFixed(2)}ms`);
console.log(`Extract overhead (left): ${(leftExtractMs - leftUnionMs).toFixed(2)}ms`);
console.log(`Extract overhead (right): ${(rightExtractMs - rightUnionMs).toFixed(2)}ms`);
console.log(`Aggregate overhead (left): ${(leftOperandMs - leftExtractMs).toFixed(2)}ms`);
console.log(`Aggregate overhead (right): ${(rightOperandMs - rightExtractMs).toFixed(2)}ms`);
console.log(`Compare + meta overhead: ${(fullComparatorMs - leftOperandMs - rightOperandMs + nodeIdMs).toFixed(2)}ms`);
console.log(`AuthChecker overhead: ${(viaAuthCheckerMs - fullComparatorMs).toFixed(2)}ms`);
// Check what percentage each part takes
console.log('\n--- Time Distribution (% of total) ---');
const total = viaAuthCheckerMs;
console.log(`Node ID lookup: ${((nodeIdMs / total) * 100).toFixed(1)}%`);
console.log(`Left union: ${(((leftUnionMs - nodeIdMs) / total) * 100).toFixed(1)}%`);
console.log(`Right union: ${(((rightUnionMs - nodeIdMs) / total) * 100).toFixed(1)}%`);
console.log(`Left extract: ${(((leftExtractMs - leftUnionMs) / total) * 100).toFixed(1)}%`);
console.log(`Right extract: ${(((rightExtractMs - rightUnionMs) / total) * 100).toFixed(1)}%`);
console.log(`Left aggregate: ${(((leftOperandMs - leftExtractMs) / total) * 100).toFixed(1)}%`);
console.log(`Right aggregate: ${(((rightOperandMs - rightExtractMs) / total) * 100).toFixed(1)}%`);
console.log(`Compare + meta: ${(((fullComparatorMs - leftOperandMs - rightOperandMs + nodeIdMs) / total) * 100).toFixed(1)}%`);
console.log(`AuthChecker overhead: ${(((viaAuthCheckerMs - fullComparatorMs) / total) * 100).toFixed(1)}%`);
// Check cost of new Set() creation
console.log('\n--- Set Creation Overhead ---');
const setCreation = measure('new Set()', () => new Set());
console.log(`new Set() per iteration: ${(setCreation.ms / ITERATIONS * 1000).toFixed(4)}µs`);
console.log(`Set creations per comparator check: ~4-6 (left union, right union, left operand, right operand, authChecker)`);
console.log(`Estimated Set overhead: ${(setCreation.ms * 5 / ITERATIONS * 1000).toFixed(2)}µs per check`);
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import { Arbiter } from '../src/core/Arbiter.js';
// Create scenario matching owa_comparator_nested
const arbiter = new Arbiter();
const SIZE = 5000;
// Build nodes
for (let i = 0; i < SIZE; i++) {
arbiter.addNode(`user:${i}`, 'user');
arbiter.addNode(`resource:${i}`, 'resource');
}
// Build relations (same as owa-comparator-micro-bench)
for (let i = 0; i < SIZE; i++) {
const isSafe = i % 2 === 0;
const score = isSafe ? 20 : 80;
const bonus = isSafe ? 5 : 15;
const noise = isSafe ? 0 : 10;
arbiter.addRelation(`user:${i}`, 'risk_score', `resource:${i}`, 1.0, { value: score });
arbiter.addRelation(`user:${i}`, 'risk_bonus', `resource:${i}`, 1.0, { value: bonus });
arbiter.addRelation(`user:${i}`, 'risk_noise', `resource:${i}`, 1.0, { value: noise });
arbiter.addRelation(`resource:${i}`, 'risk_limit', `resource:${i}`, 1.0, { value: 40 });
arbiter.addRelation(`resource:${i}`, 'risk_cap', `resource:${i}`, 1.0, { value: 45 });
}
// Set relation configs
arbiter.setRelationConfig('risk_score', { type: 'direct' });
arbiter.setRelationConfig('risk_bonus', { type: 'direct' });
arbiter.setRelationConfig('risk_noise', { type: 'direct' });
arbiter.setRelationConfig('risk_limit', { type: 'direct' });
arbiter.setRelationConfig('risk_cap', { type: 'direct' });
arbiter.setRelationConfig('risk_ok_owa', {
type: 'relational_comparator',
comparator: '<=',
fallbackBehavior: 'deny',
left: {
rule: {
union: {
rules: [
{ type: 'direct', relation: 'risk_score' },
{ type: 'direct', relation: 'risk_bonus' },
{ type: 'direct', relation: 'risk_noise' }
],
aggregator: 'owa',
owaWeights: [0.5, 0.3, 0.2]
}
},
extractValue: true,
valueRelation: 'risk_score',
aggregator: 'owa',
owaWeights: [0.5, 0.3, 0.2]
},
right: {
rule: {
union: {
rules: [
{ type: 'direct', relation: 'risk_limit' },
{ type: 'direct', relation: 'risk_cap' }
],
aggregator: 'owa',
owaWeights: [0.6, 0.4]
}
},
extractValue: true,
valueRelation: 'risk_limit',
evaluateFrom: 'object',
aggregator: 'owa',
owaWeights: [0.6, 0.4]
}
});
// Warm up
for (let i = 0; i < 100; i++) {
arbiter.check(`user:${i}`, 'risk_ok_owa', `resource:${i}`, { fastPath: true });
}
// Profile with timing at each step
const ITERATIONS = 1000;
let totalMs = 0;
// Detailed timing breakdown
const timings = {
total: 0,
nodeIdLookup: 0,
configGet: 0,
visitedCheck: 0,
ruleEval: 0
};
const start = process.hrtime.bigint();
for (let i = 0; i < ITERATIONS; i++) {
const idx = i % SIZE;
arbiter.check(`user:${idx}`, 'risk_ok_owa', `resource:${idx}`, { fastPath: true });
}
totalMs = Number(process.hrtime.bigint() - start) / 1e6;
const qps = Math.round((ITERATIONS / totalMs) * 1000);
console.log(`Total: ${totalMs.toFixed(2)}ms for ${ITERATIONS} checks = ${qps} QPS`);
console.log(`Per check: ${(totalMs / ITERATIONS).toFixed(4)}ms`);
// Now let's profile object allocations
console.log('\n--- Checking allocation patterns ---');
// Check visited set behavior
const visited = new Set();
const visitKey1 = { userKey: 'user:0', relation: 'test', objectKey: 'resource:0' };
const visitKey2 = { userKey: 'user:0', relation: 'test', objectKey: 'resource:0' };
visited.add(visitKey1);
console.log(`Same keys, different objects in Set: ${visited.has(visitKey2)}`); // false - reference equality
// Count how many allocations happen per check
console.log('\n--- Checking comparison: direct vs comparator ---');
// Profile direct check
const directStart = process.hrtime.bigint();
for (let i = 0; i < ITERATIONS; i++) {
const idx = i % SIZE;
arbiter.check(`user:${idx}`, 'risk_score', `resource:${idx}`, { fastPath: true });
}
const directMs = Number(process.hrtime.bigint() - directStart) / 1e6;
console.log(`Direct: ${directMs.toFixed(2)}ms = ${Math.round((ITERATIONS / directMs) * 1000)} QPS`);
// Profile union eval only
const unionRule = {
union: {
rules: [
{ type: 'direct', relation: 'risk_score' },
{ type: 'direct', relation: 'risk_bonus' },
{ type: 'direct', relation: 'risk_noise' }
],
aggregator: 'owa',
owaWeights: [0.5, 0.3, 0.2]
}
};
const unionStart = process.hrtime.bigint();
for (let i = 0; i < ITERATIONS; i++) {
const idx = i % SIZE;
const userId = arbiter.nodeIdByKey.get(`user:${idx}`);
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
arbiter.authChecker.ruleEvaluator.evaluateRule(
userId, `user:${idx}`, objectId, `resource:${idx}`,
unionRule, new Set(), 'risk_ok_owa', { fastPath: true }
);
}
const unionMs = Number(process.hrtime.bigint() - unionStart) / 1e6;
console.log(`Union eval: ${unionMs.toFixed(2)}ms = ${Math.round((ITERATIONS / unionMs) * 1000)} QPS`);
// What's the overhead of authChecker.check vs direct ruleEvaluator call?
const checkStart = process.hrtime.bigint();
for (let i = 0; i < ITERATIONS; i++) {
const idx = i % SIZE;
arbiter.authChecker.check(`user:${idx}`, 'risk_ok_owa', `resource:${idx}`, { fastPath: true });
}
const checkMs = Number(process.hrtime.bigint() - checkStart) / 1e6;
console.log(`authChecker.check: ${checkMs.toFixed(2)}ms = ${Math.round((ITERATIONS / checkMs) * 1000)} QPS`);
// Direct to evaluateRule for relational_comparator
const comparatorRule = arbiter.relationConfigs.get('risk_ok_owa');
const comparatorStart = process.hrtime.bigint();
for (let i = 0; i < ITERATIONS; i++) {
const idx = i % SIZE;
const userId = arbiter.nodeIdByKey.get(`user:${idx}`);
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
arbiter.authChecker.ruleEvaluator.evaluateRule(
userId, `user:${idx}`, objectId, `resource:${idx}`,
comparatorRule, new Set(), 'risk_ok_owa', { fastPath: true }
);
}
const comparatorMs = Number(process.hrtime.bigint() - comparatorStart) / 1e6;
console.log(`ruleEvaluator.evaluateRule (comparator): ${comparatorMs.toFixed(2)}ms = ${Math.round((ITERATIONS / comparatorMs) * 1000)} QPS`);
console.log('\n--- Summary ---');
console.log(`Direct check baseline: ${Math.round((ITERATIONS / directMs) * 1000)} QPS`);
console.log(`Union eval: ${Math.round((ITERATIONS / unionMs) * 1000)} QPS (${(unionMs/directMs).toFixed(1)}x slower than direct)`);
console.log(`Full comparator via ruleEvaluator: ${Math.round((ITERATIONS / comparatorMs) * 1000)} QPS (${(comparatorMs/directMs).toFixed(1)}x slower than direct)`);
console.log(`Full comparator via authChecker: ${Math.round((ITERATIONS / checkMs) * 1000)} QPS (${(checkMs/directMs).toFixed(1)}x slower than direct)`);
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import { Arbiter } from '../src/core/Arbiter.js';
const arbiter = new Arbiter();
const SIZE = 5000;
// Build scenario
for (let i = 0; i < SIZE; i++) {
arbiter.addNode(`user:${i}`, 'user');
arbiter.addNode(`resource:${i}`, 'resource');
const isSafe = i % 2 === 0;
arbiter.addRelation(`user:${i}`, 'risk_score', `resource:${i}`, 1.0, { value: isSafe ? 20 : 80 });
arbiter.addRelation(`user:${i}`, 'risk_bonus', `resource:${i}`, 1.0, { value: isSafe ? 5 : 15 });
arbiter.addRelation(`user:${i}`, 'risk_noise', `resource:${i}`, 1.0, { value: isSafe ? 0 : 10 });
arbiter.addRelation(`resource:${i}`, 'risk_limit', `resource:${i}`, 1.0, { value: 40 });
arbiter.addRelation(`resource:${i}`, 'risk_cap', `resource:${i}`, 1.0, { value: 45 });
}
['risk_score', 'risk_bonus', 'risk_noise', 'risk_limit', 'risk_cap'].forEach(r =>
arbiter.setRelationConfig(r, { type: 'direct' }));
arbiter.setRelationConfig('risk_ok_owa', {
type: 'relational_comparator',
comparator: '<=',
fallbackBehavior: 'deny',
left: {
rule: {
union: {
rules: [
{ type: 'direct', relation: 'risk_score' },
{ type: 'direct', relation: 'risk_bonus' },
{ type: 'direct', relation: 'risk_noise' }
],
aggregator: 'owa',
owaWeights: [0.5, 0.3, 0.2]
}
},
extractValue: true,
valueRelation: 'risk_score',
aggregator: 'owa',
owaWeights: [0.5, 0.3, 0.2]
},
right: {
rule: {
union: {
rules: [
{ type: 'direct', relation: 'risk_limit' },
{ type: 'direct', relation: 'risk_cap' }
],
aggregator: 'owa',
owaWeights: [0.6, 0.4]
}
},
extractValue: true,
valueRelation: 'risk_limit',
evaluateFrom: 'object',
aggregator: 'owa',
owaWeights: [0.6, 0.4]
}
});
// HEAVY WARMUP - this is key for stable measurements
console.log('Warming up (10k iterations)...');
for (let i = 0; i < 10000; i++) {
arbiter.check(`user:${i % SIZE}`, 'risk_ok_owa', `resource:${i % SIZE}`, { fastPath: true });
}
console.log('Warmup complete\n');
const ITERATIONS = 5000;
function measure(label, fn) {
// Run 3 times and take median
const times = [];
for (let run = 0; run < 3; run++) {
const start = process.hrtime.bigint();
for (let i = 0; i < ITERATIONS; i++) fn(i % SIZE);
times.push(Number(process.hrtime.bigint() - start) / 1e6);
}
times.sort((a, b) => a - b);
const ms = times[1]; // median
return { label, ms, qps: Math.round((ITERATIONS / ms) * 1000), perOp: ms / ITERATIONS };
}
console.log('=== FINAL PERFORMANCE ANALYSIS (POST-WARMUP) ===\n');
const config = arbiter.relationConfigs.get('risk_ok_owa');
const ruleEval = arbiter.authChecker.ruleEvaluator;
const comparatorHandler = ruleEval.ruleHandlers.relational_comparator.numericRule;
// Baseline
const directCheck = measure('Direct check (single relation)', (idx) => {
arbiter.check(`user:${idx}`, 'risk_score', `resource:${idx}`, { fastPath: true });
});
console.log(`${directCheck.label}: ${directCheck.qps.toLocaleString()} QPS`);
// Full comparator
const fullCheck = measure('Full comparator (via arbiter.check)', (idx) => {
arbiter.check(`user:${idx}`, 'risk_ok_owa', `resource:${idx}`, { fastPath: true });
});
console.log(`${fullCheck.label}: ${fullCheck.qps.toLocaleString()} QPS`);
console.log(`\nSlowdown: ${(fullCheck.perOp / directCheck.perOp).toFixed(1)}x`);
console.log('\n--- Component Timings (µs per operation) ---\n');
// Individual components
const results = [];
results.push(measure('Node ID lookup (x2)', (idx) => {
arbiter.nodeIdByKey.get(`user:${idx}`);
arbiter.nodeIdByKey.get(`resource:${idx}`);
}));
results.push(measure('Direct index lookup', (idx) => {
const userId = arbiter.nodeIdByKey.get(`user:${idx}`);
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
arbiter.indices.getDirectRelation(userId, 'risk_score', objectId);
}));
results.push(measure('Single direct rule via DirectRule', (idx) => {
const userId = arbiter.nodeIdByKey.get(`user:${idx}`);
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
ruleEval.ruleHandlers.direct.evaluate(userId, `user:${idx}`, objectId, `resource:${idx}`,
{ type: 'direct', relation: 'risk_score' }, new Set(), 'test', { fastPath: true });
}));
results.push(measure('Union (3 direct rules)', (idx) => {
const userId = arbiter.nodeIdByKey.get(`user:${idx}`);
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
ruleEval.logicalOperators.evaluateUnion(userId, `user:${idx}`, objectId, `resource:${idx}`,
config.left.rule, new Set(), 'test', { fastPath: true });
}));
results.push(measure('Union (2 direct rules)', (idx) => {
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
ruleEval.logicalOperators.evaluateUnion(objectId, `resource:${idx}`, objectId, `resource:${idx}`,
config.right.rule, new Set(), 'test', { fastPath: true });
}));
results.push(measure('Left _evaluateOperand', (idx) => {
const userId = arbiter.nodeIdByKey.get(`user:${idx}`);
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
comparatorHandler._evaluateOperand(userId, `user:${idx}`, objectId, `resource:${idx}`,
config.left, new Set(), 'test', { fastPath: true }, 'left', 1.0, null);
}));
results.push(measure('Right _evaluateOperand', (idx) => {
const userId = arbiter.nodeIdByKey.get(`user:${idx}`);
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
comparatorHandler._evaluateOperand(userId, `user:${idx}`, objectId, `resource:${idx}`,
config.right, new Set(), 'test', { fastPath: true }, 'right', 1.0, null);
}));
results.push(measure('comparator._evaluateRule', (idx) => {
const userId = arbiter.nodeIdByKey.get(`user:${idx}`);
const objectId = arbiter.nodeIdByKey.get(`resource:${idx}`);
comparatorHandler._evaluateRule(userId, `user:${idx}`, objectId, `resource:${idx}`,
config, new Set(), 'test', { fastPath: true });
}));
for (const r of results) {
console.log(`${r.label.padEnd(40)} ${(r.perOp * 1000).toFixed(2).padStart(8)}µs ${r.qps.toLocaleString().padStart(10)} QPS`);
}
console.log(`${'Full arbiter.check'.padEnd(40)} ${(fullCheck.perOp * 1000).toFixed(2).padStart(8)}µs ${fullCheck.qps.toLocaleString().padStart(10)} QPS`);
console.log('\n=== BOTTLENECK IDENTIFICATION ===\n');
const nodeIdTime = results[0].perOp * 1000;
const indexTime = results[1].perOp * 1000;
const singleDirectTime = results[2].perOp * 1000;
const union3Time = results[3].perOp * 1000;
const union2Time = results[4].perOp * 1000;
const leftOpTime = results[5].perOp * 1000;
const rightOpTime = results[6].perOp * 1000;
const evalRuleTime = results[7].perOp * 1000;
const fullTime = fullCheck.perOp * 1000;
// What SHOULD the times be?
console.log('Expected vs Actual:');
console.log(` Single direct rule: 1 index lookup + overhead`);
console.log(` Expected: ~${indexTime.toFixed(2)}µs, Actual: ${singleDirectTime.toFixed(2)}µs`);
console.log(` Union (3 rules): 3 direct rules + OWA fusion`);
console.log(` Expected: ~${(singleDirectTime * 3).toFixed(2)}µs, Actual: ${union3Time.toFixed(2)}µs (+${(union3Time - singleDirectTime * 3).toFixed(2)}µs)`);
console.log(` Union (2 rules): 2 direct rules + OWA fusion`);
console.log(` Expected: ~${(singleDirectTime * 2).toFixed(2)}µs, Actual: ${union2Time.toFixed(2)}µs (+${(union2Time - singleDirectTime * 2).toFixed(2)}µs)`);
console.log(` Left operand: union3 + extract + aggregate`);
console.log(` Actual: ${leftOpTime.toFixed(2)}µs, Union was: ${union3Time.toFixed(2)}µs (+${(leftOpTime - union3Time).toFixed(2)}µs)`);
console.log(` Right operand: union2 + extract + aggregate`);
console.log(` Actual: ${rightOpTime.toFixed(2)}µs, Union was: ${union2Time.toFixed(2)}µs (+${(rightOpTime - union2Time).toFixed(2)}µs)`);
console.log(` _evaluateRule: left + right + compare`);
console.log(` Expected: ~${(leftOpTime + rightOpTime).toFixed(2)}µs, Actual: ${evalRuleTime.toFixed(2)}µs`);
console.log(` Full check: _evaluateRule + AuthChecker overhead`);
console.log(` Actual: ${fullTime.toFixed(2)}µs, _evaluateRule was: ${evalRuleTime.toFixed(2)}µs (+${(fullTime - evalRuleTime).toFixed(2)}µs)`);
console.log('\n=== KEY BOTTLENECKS ===\n');
console.log(`1. OWA fusion overhead in unions: ~${((union3Time - singleDirectTime * 3) + (union2Time - singleDirectTime * 2)).toFixed(2)}µs total`);
console.log(`2. Extract+Aggregate overhead: ~${((leftOpTime - union3Time) + (rightOpTime - union2Time)).toFixed(2)}µs total`);
console.log(`3. AuthChecker overhead: ~${(fullTime - evalRuleTime).toFixed(2)}µs`);
console.log(`4. Object allocations: ~${(nodeIdTime * 3 + 2).toFixed(2)}µs (Sets, visitKeys, meta objects)`);
const totalBottleneck = (union3Time - singleDirectTime * 3) + (union2Time - singleDirectTime * 2) +
(leftOpTime - union3Time) + (rightOpTime - union2Time) +
(fullTime - evalRuleTime);
console.log(`\nTotal identified overhead: ~${totalBottleneck.toFixed(2)}µs`);
console.log(`Direct baseline (5 lookups): ~${(indexTime * 5).toFixed(2)}µs`);
console.log(`Actual total: ${fullTime.toFixed(2)}µs`);
console.log(`Overhead factor: ${(fullTime / (indexTime * 5)).toFixed(1)}x`);
console.log('\n=== PRODUCTION SPEED ESTIMATE ===\n');
const targetQPS = 100000;
const currentQPS = fullCheck.qps;
console.log(`Current: ${currentQPS.toLocaleString()} QPS`);
console.log(`Target: ${targetQPS.toLocaleString()} QPS`);
console.log(`Need ${(targetQPS / currentQPS).toFixed(1)}x improvement`);
console.log(`Need to reduce per-op time from ${fullTime.toFixed(2)}µs to ${(1000000 / targetQPS).toFixed(2)}µs`);
console.log(`That's removing ${(fullTime - 1000000 / targetQPS).toFixed(2)}µs of overhead`);
+207
View File
@@ -0,0 +1,207 @@
import { Arbiter } from '../src/core/Arbiter.js';
function parseArgs(argv) {
const args = new Map();
for (let i = 2; i < argv.length; i++) {
const value = argv[i];
if (!value.startsWith('--')) continue;
const [key, inline] = value.slice(2).split('=');
if (inline !== undefined) {
args.set(key, inline);
continue;
}
const next = argv[i + 1];
if (next && !next.startsWith('--')) {
args.set(key, next);
i++;
} else {
args.set(key, true);
}
}
return args;
}
function createRng(seed) {
let state = seed >>> 0;
return () => {
state = (1664525 * state + 1013904223) >>> 0;
return state / 0x100000000;
};
}
function randInt(rng, max) {
return Math.floor(rng() * max);
}
function buildUsers(arbiter, count, prefix) {
for (let i = 0; i < count; i++) {
arbiter.addNode(`${prefix}:${i}`, prefix);
}
}
function buildComparatorScenario(arbiter, size) {
const trueIds = [];
const falseIds = [];
buildUsers(arbiter, size, 'user');
buildUsers(arbiter, size, 'resource');
for (let i = 0; i < size; i++) {
const isSafe = i % 2 === 0;
const score = isSafe ? 20 : 80;
const bonus = isSafe ? 5 : 15;
const noise = isSafe ? 0 : 10;
arbiter.addRelation(`user:${i}`, 'risk_score', `resource:${i}`, 1.0, { value: score });
arbiter.addRelation(`user:${i}`, 'risk_bonus', `resource:${i}`, 1.0, { value: bonus });
arbiter.addRelation(`user:${i}`, 'risk_noise', `resource:${i}`, 1.0, { value: noise });
arbiter.addRelation(`resource:${i}`, 'risk_limit', `resource:${i}`, 1.0, { value: 40 });
arbiter.addRelation(`resource:${i}`, 'risk_cap', `resource:${i}`, 1.0, { value: 45 });
if (isSafe) trueIds.push(i);
else falseIds.push(i);
}
['risk_score', 'risk_bonus', 'risk_noise', 'risk_limit', 'risk_cap'].forEach(relation => {
arbiter.setRelationConfig(relation, { type: 'direct' });
});
arbiter.setRelationConfig('risk_ok_owa', {
type: 'relational_comparator',
comparator: '<=',
fallbackBehavior: 'deny',
left: {
rule: {
union: {
rules: [
{ type: 'direct', relation: 'risk_score' },
{ type: 'direct', relation: 'risk_bonus' },
{ type: 'direct', relation: 'risk_noise' }
],
aggregator: 'owa',
owaWeights: [0.5, 0.3, 0.2]
}
},
extractValue: true,
valueRelation: 'risk_score',
aggregator: 'owa',
owaWeights: [0.5, 0.3, 0.2]
},
right: {
rule: {
union: {
rules: [
{ type: 'direct', relation: 'risk_limit' },
{ type: 'direct', relation: 'risk_cap' }
],
aggregator: 'owa',
owaWeights: [0.6, 0.4]
}
},
extractValue: true,
valueRelation: 'risk_limit',
evaluateFrom: 'object',
aggregator: 'owa',
owaWeights: [0.6, 0.4]
}
});
return { trueIds, falseIds };
}
function buildFeatureFlagScenario(arbiter, size) {
const flagCount = Math.max(1, Math.floor(size / 10));
buildUsers(arbiter, size, 'user');
buildUsers(arbiter, size, 'resource');
buildUsers(arbiter, flagCount, 'flag');
for (let i = 0; i < size; i++) {
const flagId = i % flagCount;
arbiter.addRelation(`user:${i}`, 'has_flag', `flag:${flagId}`);
if (i % 2 === 0) {
arbiter.addRelation(`resource:${i}`, 'feature_flag', `flag:${flagId}`);
}
}
arbiter.setRelationConfig('has_flag', { type: 'direct' });
arbiter.setRelationConfig('feature_flag', { type: 'direct' });
arbiter.setRelationConfig('can_feature', {
type: 'tuple_to_userset',
tuplesetRelation: 'feature_flag',
tuplesetDirection: 'out',
computedRelation: 'has_flag'
});
}
function buildComparatorQueries(size, rng, samples, trueIds, falseIds) {
const queries = [];
const half = Math.floor(samples / 2);
for (let i = 0; i < half; i++) {
const userId = trueIds.length ? trueIds[randInt(rng, trueIds.length)] : randInt(rng, size);
queries.push({ userKey: `user:${userId}`, objectKey: `resource:${userId}` });
}
for (let i = 0; i < samples - half; i++) {
const userId = falseIds.length ? falseIds[randInt(rng, falseIds.length)] : randInt(rng, size);
queries.push({ userKey: `user:${userId}`, objectKey: `resource:${userId}` });
}
return queries;
}
function buildFeatureFlagQueries(size, rng, samples) {
const queries = [];
const half = Math.floor(samples / 2);
const flagCount = Math.max(1, Math.floor(size / 10));
for (let i = 0; i < half; i++) {
const userId = randInt(rng, Math.floor(size / 2)) * 2;
queries.push({ userKey: `user:${userId}`, objectKey: `resource:${userId}`, flagId: userId % flagCount });
}
for (let i = 0; i < samples - half; i++) {
const userId = randInt(rng, Math.floor(size / 2)) * 2 + 1;
queries.push({ userKey: `user:${userId}`, objectKey: `resource:${userId}`, flagId: userId % flagCount });
}
return queries;
}
const args = parseArgs(process.argv);
const scenario = String(args.get('scenario') || 'comparator');
const size = Number(args.get('size') || 5000);
const samples = Number(args.get('samples') || 2000);
const iterations = Number(args.get('iterations') || 20000);
const seed = Number(args.get('seed') || 42);
const includeMeta = !args.has('no-meta');
const collectValues = args.has('values-agg') ? true : !args.has('no-values');
const arbiter = new Arbiter();
const rng = createRng(seed);
const options = { fastPath: true, includeMeta, collectValues };
let queries = [];
if (scenario === 'feature-flag') {
buildFeatureFlagScenario(arbiter, size);
queries = buildFeatureFlagQueries(size, rng, samples);
} else {
const { trueIds, falseIds } = buildComparatorScenario(arbiter, size);
queries = buildComparatorQueries(size, rng, samples, trueIds, falseIds);
}
for (let i = 0; i < Math.min(200, samples); i++) {
const q = queries[i];
if (scenario === 'feature-flag') {
arbiter.check(q.userKey, 'can_feature', q.objectKey, options);
} else {
arbiter.check(q.userKey, 'risk_ok_owa', q.objectKey, options);
}
}
const start = process.hrtime.bigint();
for (let i = 0; i < iterations; i++) {
const q = queries[randInt(rng, queries.length)];
if (scenario === 'feature-flag') {
arbiter.check(q.userKey, 'can_feature', q.objectKey, options);
} else {
arbiter.check(q.userKey, 'risk_ok_owa', q.objectKey, options);
}
}
const elapsedMs = Number(process.hrtime.bigint() - start) / 1e6;
const qps = elapsedMs > 0 ? Math.round((iterations / elapsedMs) * 1000) : 0;
console.log('profile_targeted_bench');
console.log(`scenario=${scenario}`);
console.log(`size=${size}`);
console.log(`samples=${samples}`);
console.log(`iterations=${iterations}`);
console.log(`meta=${includeMeta ? 'on' : 'off'}`);
console.log(`values=${collectValues ? 'on' : 'off'}`);
console.log(`elapsed_ms=${Math.round(elapsedMs)}`);
console.log(`qps=${qps}`);
@@ -0,0 +1,384 @@
/**
* Reachability Optimization Benchmark
*
* This benchmark tests the performance improvements from implementing
* 2-hop labeling and tree-cover indexing based on the reachability papers.
*/
import { Arbiter } from '../src/core/Arbiter.js';
class ReachabilityOptimizationBenchmark {
constructor() {
this.arbiter = new Arbiter({
fastConstructionMode: true,
lazyStaleMarking: true
});
this.results = {
traditional: {},
twoHop: {},
treeCover: {},
hybrid: {}
};
}
/**
* Setup test data with various graph structures
*/
setupTestData() {
console.log('🏗️ Setting up test data...');
// Create nodes
const users = [];
const groups = [];
const projects = [];
const documents = [];
// Create users
for (let i = 0; i < 1000; i++) {
const userKey = `user_${i}`;
this.arbiter.addNode(userKey, 'user', { name: `User ${i}` });
users.push(userKey);
}
// Create groups
for (let i = 0; i < 100; i++) {
const groupKey = `group_${i}`;
this.arbiter.addNode(groupKey, 'group', { name: `Group ${i}` });
groups.push(groupKey);
}
// Create projects
for (let i = 0; i < 50; i++) {
const projectKey = `project_${i}`;
this.arbiter.addNode(projectKey, 'project', { name: `Project ${i}` });
projects.push(projectKey);
}
// Create documents
for (let i = 0; i < 200; i++) {
const docKey = `doc_${i}`;
this.arbiter.addNode(docKey, 'document', { name: `Document ${i}` });
documents.push(docKey);
}
// Create hierarchical relationships
this._createHierarchicalRelations(users, groups, projects, documents);
// Create cross-cutting relationships
this._createCrossCuttingRelations(users, groups, projects, documents);
console.log(`✅ Created ${this.arbiter.nodes.size} nodes and ${this.arbiter.relations.length} relations`);
}
/**
* Create hierarchical relationships (users -> groups -> projects -> documents)
*/
_createHierarchicalRelations(users, groups, projects, documents) {
// Users join groups
for (let i = 0; i < users.length; i++) {
const user = users[i];
const groupIndex = Math.floor(Math.random() * groups.length);
const group = groups[groupIndex];
this.arbiter.addRelation(user, 'member_of', group, { possibility: 1.0 });
}
// Groups own projects
for (let i = 0; i < groups.length; i++) {
const group = groups[i];
const projectCount = Math.floor(Math.random() * 3) + 1; // 1-3 projects per group
for (let j = 0; j < projectCount; j++) {
const projectIndex = Math.floor(Math.random() * projects.length);
const project = projects[projectIndex];
this.arbiter.addRelation(group, 'owns', project, { possibility: 1.0 });
}
}
// Projects contain documents
for (let i = 0; i < projects.length; i++) {
const project = projects[i];
const docCount = Math.floor(Math.random() * 5) + 1; // 1-5 docs per project
for (let j = 0; j < docCount; j++) {
const docIndex = Math.floor(Math.random() * documents.length);
const doc = documents[docIndex];
this.arbiter.addRelation(project, 'contains', doc, { possibility: 1.0 });
}
}
}
/**
* Create cross-cutting relationships
*/
_createCrossCuttingRelations(users, groups, projects, documents) {
// Some users have direct access to projects
for (let i = 0; i < 50; i++) {
const user = users[Math.floor(Math.random() * users.length)];
const project = projects[Math.floor(Math.random() * projects.length)];
this.arbiter.addRelation(user, 'direct_access', project, { possibility: 1.0 });
}
// Some groups have cross-project access
for (let i = 0; i < 20; i++) {
const group = groups[Math.floor(Math.random() * groups.length)];
const project = projects[Math.floor(Math.random() * projects.length)];
this.arbiter.addRelation(group, 'cross_access', project, { possibility: 1.0 });
}
}
/**
* Benchmark traditional reachability (basic traversal)
*/
async benchmarkTraditional() {
console.log('🔍 Benchmarking traditional reachability...');
const queries = this._generateTestQueries(1000);
const startTime = Date.now();
let results = 0;
for (const query of queries) {
const isReachable = this._traditionalReachability(query.source, query.target);
if (isReachable) results++;
}
const endTime = Date.now();
const duration = endTime - startTime;
this.results.traditional = {
duration,
queries: queries.length,
results,
qps: Math.round((queries.length / duration) * 1000),
averageTime: duration / queries.length
};
console.log(`✅ Traditional: ${this.results.traditional.qps} QPS, ${this.results.traditional.averageTime.toFixed(3)}ms avg`);
}
/**
* Benchmark 2-hop indexing
*/
async benchmarkTwoHop() {
console.log('🔍 Benchmarking 2-hop indexing...');
// Initialize 2-hop index
const initStart = Date.now();
await this.arbiter.initializeReachabilityChecker({ strategy: 'twohop' });
const initTime = Date.now() - initStart;
const queries = this._generateTestQueries(1000);
const startTime = Date.now();
let results = 0;
for (const query of queries) {
const isReachable = this.arbiter.isReachable(query.source, query.target);
if (isReachable) results++;
}
const endTime = Date.now();
const duration = endTime - startTime;
this.results.twoHop = {
initTime,
duration,
queries: queries.length,
results,
qps: Math.round((queries.length / duration) * 1000),
averageTime: duration / queries.length,
stats: this.arbiter.getReachabilityStats()
};
console.log(`✅ 2-hop: ${this.results.twoHop.qps} QPS, ${this.results.twoHop.averageTime.toFixed(3)}ms avg, init: ${initTime}ms`);
}
/**
* Benchmark tree-cover indexing
*/
async benchmarkTreeCover() {
console.log('🔍 Benchmarking tree-cover indexing...');
// Initialize tree-cover index
const initStart = Date.now();
await this.arbiter.initializeReachabilityChecker({ strategy: 'treecover' });
const initTime = Date.now() - initStart;
const queries = this._generateTestQueries(1000);
const startTime = Date.now();
let results = 0;
for (const query of queries) {
const isReachable = this.arbiter.isReachable(query.source, query.target);
if (isReachable) results++;
}
const endTime = Date.now();
const duration = endTime - startTime;
this.results.treeCover = {
initTime,
duration,
queries: queries.length,
results,
qps: Math.round((queries.length / duration) * 1000),
averageTime: duration / queries.length,
stats: this.arbiter.getReachabilityStats()
};
console.log(`✅ Tree-cover: ${this.results.treeCover.qps} QPS, ${this.results.treeCover.averageTime.toFixed(3)}ms avg, init: ${initTime}ms`);
}
/**
* Benchmark hybrid approach
*/
async benchmarkHybrid() {
console.log('🔍 Benchmarking hybrid approach...');
// Initialize hybrid index
const initStart = Date.now();
await this.arbiter.initializeReachabilityChecker({ strategy: 'hybrid' });
const initTime = Date.now() - initStart;
const queries = this._generateTestQueries(1000);
const startTime = Date.now();
let results = 0;
for (const query of queries) {
const isReachable = this.arbiter.isReachable(query.source, query.target);
if (isReachable) results++;
}
const endTime = Date.now();
const duration = endTime - startTime;
this.results.hybrid = {
initTime,
duration,
queries: queries.length,
results,
qps: Math.round((queries.length / duration) * 1000),
averageTime: duration / queries.length,
stats: this.arbiter.getReachabilityStats()
};
console.log(`✅ Hybrid: ${this.results.hybrid.qps} QPS, ${this.results.hybrid.averageTime.toFixed(3)}ms avg, init: ${initTime}ms`);
}
/**
* Traditional reachability using basic BFS
*/
_traditionalReachability(sourceKey, targetKey) {
if (sourceKey === targetKey) return true;
const visited = new Set();
const queue = [sourceKey];
visited.add(sourceKey);
while (queue.length > 0) {
const current = queue.shift();
// Find outgoing relations
const outgoing = this.arbiter.relations.filter(r => {
const srcKey = this.arbiter.keyByNodeId.get(r.src);
return srcKey === current;
});
for (const relation of outgoing) {
const nextKey = this.arbiter.keyByNodeId.get(relation.dst);
if (nextKey === targetKey) return true;
if (!visited.has(nextKey)) {
visited.add(nextKey);
queue.push(nextKey);
}
}
}
return false;
}
/**
* Generate test queries
*/
_generateTestQueries(count) {
const queries = [];
const allKeys = Array.from(this.arbiter.nodes.keys());
for (let i = 0; i < count; i++) {
const source = allKeys[Math.floor(Math.random() * allKeys.length)];
const target = allKeys[Math.floor(Math.random() * allKeys.length)];
queries.push({ source, target });
}
return queries;
}
/**
* Run all benchmarks
*/
async runBenchmarks() {
console.log('🚀 Starting Reachability Optimization Benchmarks\n');
// Setup test data
this.setupTestData();
// Run benchmarks
await this.benchmarkTraditional();
await this.benchmarkTwoHop();
await this.benchmarkTreeCover();
await this.benchmarkHybrid();
// Print results
this.printResults();
}
/**
* Print benchmark results
*/
printResults() {
console.log('\n📊 Reachability Optimization Results\n');
const methods = ['traditional', 'twoHop', 'treeCover', 'hybrid'];
const methodNames = ['Traditional', '2-Hop', 'Tree-Cover', 'Hybrid'];
console.log('Method | QPS | Avg Time | Init Time | Speedup');
console.log('----------------------|----------|----------|-----------|--------');
const baselineQps = this.results.traditional.qps;
for (let i = 0; i < methods.length; i++) {
const method = methods[i];
const result = this.results[method];
const speedup = result.qps / baselineQps;
const initTime = result.initTime ? `${result.initTime}ms` : 'N/A';
console.log(
`${methodNames[i].padEnd(20)} | ${result.qps.toString().padStart(8)} | ${result.averageTime.toFixed(3)}ms`.padEnd(8) +
` | ${initTime.padStart(9)} | ${speedup.toFixed(2)}x`
);
}
console.log('\n🎯 Key Insights:');
// Find best performer
const bestMethod = methods.reduce((best, method) =>
this.results[method].qps > this.results[best].qps ? method : best
);
const bestSpeedup = this.results[bestMethod].qps / baselineQps;
console.log(`• Best performer: ${methodNames[methods.indexOf(bestMethod)]} (${bestSpeedup.toFixed(2)}x speedup)`);
// Memory usage insights
if (this.results.twoHop.stats) {
console.log(`• 2-hop index size: ${this.results.twoHop.stats.twoHopStats?.labelSize || 'N/A'} labels`);
}
if (this.results.treeCover.stats) {
console.log(`• Tree-cover trees: ${this.results.treeCover.stats.treeCoverStats?.treeCount || 'N/A'}`);
}
console.log(`• Total queries: ${this.results.traditional.queries}`);
console.log(`• Graph size: ${this.arbiter.nodes.size} nodes, ${this.arbiter.relations.length} edges`);
}
}
// Run the benchmark
const benchmark = new ReachabilityOptimizationBenchmark();
benchmark.runBenchmarks().catch(console.error);
@@ -0,0 +1,254 @@
import { performance } from 'perf_hooks';
import { Arbiter } from '../src/index.js';
class Benchmark {
constructor(name) {
this.name = name;
this.results = [];
this.labels = [];
}
async run(fn, iterations = 1000, label = '') {
for (let i = 0; i < 10; i++) await fn();
const times = [];
for (let i = 0; i < iterations; i++) {
const start = performance.now();
await fn();
const end = performance.now();
times.push(end - start);
}
const avg = times.reduce((a, b) => a + b, 0) / times.length;
const min = Math.min(...times);
const max = Math.max(...times);
const p95 = times.sort((a, b) => a - b)[Math.floor(times.length * 0.95)];
this.results.push({
avg: avg.toFixed(3),
min: min.toFixed(3),
max: max.toFixed(3),
p95: p95.toFixed(3)
});
this.labels.push(label);
return { avg, min, max, p95 };
}
report() {
console.log('Configuration | Avg (ms) | Min (ms) | Max (ms) | P95 (ms) | Speedup');
console.log('---------------------------------|----------|----------|----------|----------|--------');
const baselineTime = parseFloat(this.results[0].avg);
this.results.forEach((result, i) => {
const label = this.labels[i] || `Test ${i + 1}`;
const speedup = i === 0 ? '1.00x' : `${(baselineTime / parseFloat(result.avg)).toFixed(2)}x`;
console.log(`${label.padEnd(32)} | ${result.avg.padStart(8)} | ${result.min.padStart(8)} | ${result.max.padStart(8)} | ${result.p95.padStart(8)} | ${speedup.padStart(6)}`);
});
}
}
function setupGraph(scale = 'medium') {
const scales = {
medium: { users: 2000, resources: 1000 },
xlarge: { users: 20000, resources: 5000 }
};
const config = scales[scale];
const arbiter = new Arbiter({ fastConstructionMode: true });
const users = [], resources = [];
for (let i = 0; i < config.users; i++) {
const userKey = `user:user${i}`;
arbiter.addNode(userKey, 'user');
// Assign a random balance between 100 and 10000
arbiter.addRelation(userKey, 'has_balance', 'balance', { value: Math.floor(Math.random() * 9900) + 100 });
users.push(userKey);
}
for (let i = 0; i < config.resources; i++) {
const resKey = `resource:res${i}`;
arbiter.addNode(resKey, 'resource');
// Assign a random price between 50 and 5000
arbiter.addRelation(resKey, 'has_price', 'price', { value: Math.floor(Math.random() * 4950) + 50 });
resources.push(resKey);
}
// Direct access for a subset
for (let i = 0; i < Math.floor(config.users * 0.1); i++) {
const user = users[i];
const res = resources[i % resources.length];
arbiter.addRelation(user, 'can_access', res);
}
// ChainRule: user->can_access->resource
arbiter.setRelationConfig('can_access', { type: 'direct' });
arbiter.setRelationConfig('chain_access', {
type: 'chain',
steps: [ { relation: 'can_access', direction: 'out' } ]
});
// RelationalComparatorRule: user.balance >= resource.price
arbiter.setRelationConfig('balance_check', {
type: 'relational_comparator',
leftOperand: {
rule: { type: 'direct', relation: 'has_balance' },
extractValue: true,
valueRelation: 'has_balance',
aggregator: 'max'
},
rightOperand: {
rule: { type: 'direct', relation: 'has_price' },
extractValue: true,
valueRelation: 'has_price',
aggregator: 'max'
},
comparator: '>=',
fallbackBehavior: 'deny'
});
return { arbiter, users, resources };
}
async function runRelationalComparatorBenchmarks() {
for (const scale of ['medium', 'xlarge']) {
console.log(`\n🔬 RelationalComparatorRule Benchmark (${scale.toUpperCase()})`);
const { arbiter, users, resources } = setupGraph(scale);
const benchmark = new Benchmark(`RelationalComparatorRule (${scale})`);
// Direct access baseline
await benchmark.run(() => {
const user = users[Math.floor(Math.random() * users.length)];
const res = resources[Math.floor(Math.random() * resources.length)];
arbiter.check(user, 'can_access', res);
}, scale === 'medium' ? 500 : 100, 'Direct Access (baseline)');
// ChainRule existence
await benchmark.run(() => {
const user = users[Math.floor(Math.random() * users.length)];
const res = resources[Math.floor(Math.random() * resources.length)];
arbiter.check(user, 'chain_access', res);
}, scale === 'medium' ? 500 : 100, 'ChainRule Existence');
// RelationalComparatorRule (value-based)
await benchmark.run(() => {
const user = users[Math.floor(Math.random() * users.length)];
const res = resources[Math.floor(Math.random() * resources.length)];
arbiter.check(user, 'balance_check', res);
}, scale === 'medium' ? 500 : 100, 'RelationalComparatorRule (balance >= price)');
// --- Complex, realistic scenario: sum of all balances user can debit vs. min plan/feature price ---
// Setup: users, accounts, features, plans, prices, debit rights
const accounts = [], plans = [], features = [];
for (let i = 0; i < (scale === 'medium' ? 1000 : 5000); i++) {
const accKey = `account:acc${i}`;
accounts.push(accKey);
arbiter.addNode(accKey, 'account');
// Each account has a balance (with timestamp for decay)
arbiter.addRelation(accKey, 'has_balance', 'unit:usd', {
value: Math.floor(Math.random() * 9900) + 100,
updated_last_at: Date.now() - Math.floor(Math.random() * 48 * 60 * 60 * 1000) // up to 48h old
});
}
for (let i = 0; i < (scale === 'medium' ? 100 : 500); i++) {
const planKey = `plan:plan${i}`;
plans.push(planKey);
arbiter.addNode(planKey, 'plan');
arbiter.addRelation(planKey, 'has_price', 'unit:usd', { value: Math.floor(Math.random() * 4950) + 50 });
}
for (let i = 0; i < (scale === 'medium' ? 500 : 2000); i++) {
const featKey = `feature:feat${i}`;
features.push(featKey);
arbiter.addNode(featKey, 'feature');
// Each feature has a price
arbiter.addRelation(featKey, 'has_price', 'unit:usd', { value: Math.floor(Math.random() * 4950) + 50 });
// Some features belong to a plan
if (Math.random() < 0.5) {
const plan = plans[Math.floor(Math.random() * plans.length)];
arbiter.addRelation(featKey, 'belongs_to_plan', plan);
}
}
// Each user can debit a random subset of accounts
for (const user of users) {
for (let j = 0; j < (scale === 'medium' ? 3 : 5); j++) {
const acc = accounts[Math.floor(Math.random() * accounts.length)];
arbiter.addRelation(user, 'can_debit', acc);
}
}
arbiter.setRelationConfig('can_debit', { type: 'direct' });
arbiter.setRelationConfig('belongs_to_plan', { type: 'direct' });
arbiter.setRelationConfig('has_balance', { type: 'direct' });
arbiter.setRelationConfig('has_price', { type: 'direct' });
// Simplified RelationalComparatorRule: user balance vs feature price
arbiter.setRelationConfig('can_afford_feature', {
type: 'relational_comparator',
leftOperand: {
rule: { type: 'direct', relation: 'has_balance' },
extractValue: true,
valueRelation: 'has_balance',
aggregator: 'max'
},
rightOperand: {
rule: { type: 'direct', relation: 'has_price' },
extractValue: true,
valueRelation: 'has_price',
aggregator: 'max'
},
comparator: '>=',
fallbackBehavior: 'deny'
});
// Benchmark: can user afford feature (complex, multi-hop, aggregated, decayed)
await benchmark.run(() => {
const user = users[Math.floor(Math.random() * users.length)];
const feature = features[Math.floor(Math.random() * features.length)];
arbiter.check(user, 'can_afford_feature', feature);
}, scale === 'medium' ? 200 : 30, 'Complex: can_debit sum >= min(plan/feature price)');
// Optionally: Nested logical operator (e.g., require both can afford AND recent 2FA)
// For brevity, just add a dummy 2FA relation and a logical AND
for (const user of users) {
arbiter.addRelation(user, 'last_2fa', '2fa:recent', { value: Date.now() - Math.floor(Math.random() * 60 * 60 * 1000) });
}
arbiter.addNode('2fa:recent', '2fa');
arbiter.setRelationConfig('last_2fa', { type: 'direct' });
arbiter.setRelationConfig('recent_2fa_check', {
type: 'relational_comparator',
leftOperand: {
rule: { type: 'direct', relation: 'last_2fa' },
extractValue: true
},
rightOperand: {
rule: { type: 'computed', value: Date.now() - 10 * 60 * 1000 }, // 10 minutes ago
extractValue: true
},
comparator: '>=', // last_2fa >= threshold (i.e., more recent)
fallbackBehavior: 'deny'
});
arbiter.setRelationConfig('can_afford_and_recent_2fa', {
type: 'intersection',
rules: [
{ type: 'relational_comparator',
leftOperand: {
rule: { type: 'direct', relation: 'has_balance' },
extractValue: true,
valueRelation: 'has_balance',
aggregator: 'max'
},
rightOperand: {
rule: { type: 'direct', relation: 'has_price' },
extractValue: true,
valueRelation: 'has_price',
aggregator: 'max'
},
comparator: '>=',
fallbackBehavior: 'deny'
},
{ type: 'relational_comparator',
leftOperand: {
rule: { type: 'direct', relation: 'last_2fa' },
extractValue: true
},
rightOperand: {
rule: { type: 'computed', value: Date.now() - 10 * 60 * 1000 },
extractValue: true
},
comparator: '>=',
fallbackBehavior: 'deny'
}
]
});
await benchmark.run(() => {
const user = users[Math.floor(Math.random() * users.length)];
const feature = features[Math.floor(Math.random() * features.length)];
arbiter.check(user, 'can_afford_and_recent_2fa', feature);
}, scale === 'medium' ? 200 : 30, 'Complex: can_afford AND recent_2FA');
benchmark.report();
}
}
if (import.meta.url === `file://${process.argv[1]}`) {
runRelationalComparatorBenchmarks();
}
export { runRelationalComparatorBenchmarks };
@@ -0,0 +1,475 @@
import fs from 'node:fs';
// Zipfian distribution generator
function zipfian(n, s = 1.0) {
const harmonic = Array.from({ length: n }, (_, i) => 1 / Math.pow(i + 1, s))
.reduce((sum, val) => sum + val, 0);
return function() {
const r = Math.random() * harmonic;
let sum = 0;
for (let i = 0; i < n; i++) {
sum += 1 / Math.pow(i + 1, s);
if (sum >= r) return i;
}
return n - 1;
};
}
// Preferential attachment with aging
class PreferentialAttachment {
constructor() {
this.degrees = new Map();
this.totalDegree = 0;
this.ageDecay = 0.95; // Older connections become less likely
}
addNode(nodeKey) {
this.degrees.set(nodeKey, 1); // Start with degree 1
this.totalDegree += 1;
}
selectNode() {
if (this.totalDegree === 0) return null;
let r = Math.random() * this.totalDegree;
for (const [nodeKey, degree] of this.degrees) {
r -= degree;
if (r <= 0) return nodeKey;
}
return Array.from(this.degrees.keys())[0]; // Fallback
}
addEdge(srcKey, dstKey) {
this.degrees.set(srcKey, (this.degrees.get(srcKey) || 0) + 1);
this.degrees.set(dstKey, (this.degrees.get(dstKey) || 0) + 1);
this.totalDegree += 2;
}
decay() {
// Age all connections slightly
for (const [nodeKey, degree] of this.degrees) {
const newDegree = Math.max(1, degree * this.ageDecay);
this.totalDegree += newDegree - degree;
this.degrees.set(nodeKey, newDegree);
}
}
}
function generateCanonicalBenchmarkGraph(config = {}) {
const {
numUsers = 10000,
numGroups = 100,
numRoles = 20,
numProjects = 200,
numDocs = 5000,
numDevices = 1000,
numLocations = 50,
zipfianExponent = 1.2,
preferentialStrength = 0.8
} = config;
console.log('🏗️ Generating Canonical Benchmark Graph');
console.log(`Users: ${numUsers}, Groups: ${numGroups}, Docs: ${numDocs}`);
console.log(`Zipfian exponent: ${zipfianExponent}, Preferential strength: ${preferentialStrength}`);
const nodes = [];
const relations = [];
const metadata = {
generation: {
timestamp: new Date().toISOString(),
config,
stats: {}
},
testCases: {
highConfidenceAllow: [],
mediumConfidenceAllow: [],
lowConfidenceAllow: [],
shouldDeny: [],
uncertain: [],
admins: [],
newEmployees: []
},
relationConfigs: {}
};
// Zipfian generators for realistic distributions
const groupZipf = zipfian(numGroups, zipfianExponent);
const roleZipf = zipfian(numRoles, zipfianExponent);
const projectZipf = zipfian(numProjects, zipfianExponent);
const docZipf = zipfian(numDocs, zipfianExponent * 0.8); // Slightly flatter for docs
// Preferential attachment trackers
const groupPA = new PreferentialAttachment();
const projectPA = new PreferentialAttachment();
const userPA = new PreferentialAttachment();
console.log('Creating nodes...');
// Create organizational structure
for (let i = 0; i < numGroups; i++) {
const groupKey = `group:${i}`;
nodes.push({ key: groupKey, type: 'group' });
groupPA.addNode(groupKey);
}
for (let i = 0; i < numRoles; i++) {
nodes.push({ key: `role:${i}`, type: 'role' });
}
for (let i = 0; i < numProjects; i++) {
const projectKey = `project:${i}`;
nodes.push({ key: projectKey, type: 'project' });
projectPA.addNode(projectKey);
}
for (let i = 0; i < numLocations; i++) {
nodes.push({ key: `location:${i}`, type: 'location' });
}
for (let i = 0; i < numDevices; i++) {
nodes.push({ key: `device:${i}`, type: 'device' });
}
// Create users with realistic distributions
console.log('Creating users and basic relations...');
for (let i = 0; i < numUsers; i++) {
const userKey = `user:${i}`;
nodes.push({ key: userKey, type: 'user' });
userPA.addNode(userKey);
// Zipfian group membership (some groups are much more popular)
const numGroupMemberships = Math.min(5, Math.floor(Math.random() * 3) + 1);
for (let j = 0; j < numGroupMemberships; j++) {
const groupIdx = groupZipf();
const groupKey = `group:${groupIdx}`;
relations.push({
src: userKey,
rel: 'member_of',
dst: groupKey,
possibility: 0.95 + Math.random() * 0.05 // High confidence
});
groupPA.addEdge(userKey, groupKey);
}
// Role assignment (Zipfian - some roles much more common)
if (Math.random() < 0.8) { // 80% of users have roles
const roleIdx = roleZipf();
relations.push({
src: userKey,
rel: 'has_role',
dst: `role:${roleIdx}`,
possibility: 0.9 + Math.random() * 0.1
});
}
// Project assignment (preferential attachment)
const numProjects = Math.floor(Math.random() * 3) + 1;
for (let j = 0; j < numProjects; j++) {
let projectKey;
if (Math.random() < preferentialStrength) {
projectKey = projectPA.selectNode();
} else {
projectKey = `project:${Math.floor(Math.random() * numProjects)}`;
}
if (projectKey) {
relations.push({
src: userKey,
rel: 'works_on',
dst: projectKey,
possibility: 0.85 + Math.random() * 0.15
});
projectPA.addEdge(userKey, projectKey);
}
}
// Location assignment
if (Math.random() < 0.9) { // 90% have locations
const locationIdx = Math.floor(Math.random() * numLocations);
relations.push({
src: userKey,
rel: 'located_at',
dst: `location:${locationIdx}`,
possibility: 0.98
});
}
// Device assignment
if (Math.random() < 0.7) { // 70% have assigned devices
const deviceIdx = Math.floor(Math.random() * numDevices);
relations.push({
src: userKey,
rel: 'uses_device',
dst: `device:${deviceIdx}`,
possibility: 0.9 + Math.random() * 0.1
});
}
if (i % 1000 === 0) console.log(` Created ${i} users...`);
}
// Create documents with realistic access patterns
console.log('Creating documents and access patterns...');
for (let i = 0; i < numDocs; i++) {
const docKey = `doc:${i}`;
nodes.push({ key: docKey, type: 'doc' });
// Document ownership (Zipfian - some groups own many docs)
const ownerGroupIdx = groupZipf();
const ownerGroupKey = `group:${ownerGroupIdx}`;
relations.push({
src: ownerGroupKey,
rel: 'owns',
dst: docKey,
possibility: 1.0
});
// Direct user access (some users have direct access)
if (Math.random() < 0.3) { // 30% of docs have direct user access
const numDirectUsers = Math.floor(Math.random() * 5) + 1;
for (let j = 0; j < numDirectUsers; j++) {
const userIdx = Math.floor(Math.random() * numUsers);
const confidence = Math.random();
let possibility;
if (confidence < 0.3) possibility = 0.95 + Math.random() * 0.05; // High confidence
else if (confidence < 0.7) possibility = 0.7 + Math.random() * 0.2; // Medium confidence
else possibility = 0.4 + Math.random() * 0.3; // Lower confidence
relations.push({
src: `user:${userIdx}`,
rel: 'can_read',
dst: docKey,
possibility
});
}
}
// Project-based access
if (Math.random() < 0.4) { // 40% of docs are project-related
const projectIdx = Math.floor(Math.random() * numProjects);
relations.push({
src: `project:${projectIdx}`,
rel: 'can_read',
dst: docKey,
possibility: 0.8 + Math.random() * 0.2
});
}
if (i % 500 === 0) console.log(` Created ${i} documents...`);
}
// Create hierarchical relationships
console.log('Creating hierarchical relationships...');
// Group hierarchies (some groups are parents of others)
for (let i = 0; i < numGroups; i++) {
if (Math.random() < 0.3) { // 30% chance of having a parent
const parentIdx = Math.floor(Math.random() * numGroups);
if (parentIdx !== i) {
relations.push({
src: `group:${parentIdx}`,
rel: 'parent_of',
dst: `group:${i}`,
possibility: 1.0
});
}
}
}
// Role hierarchies
for (let i = 1; i < numRoles; i++) {
if (Math.random() < 0.4) { // 40% chance of role inheritance
const parentRoleIdx = Math.floor(Math.random() * i);
relations.push({
src: `role:${parentRoleIdx}`,
rel: 'inherits_from',
dst: `role:${i}`,
possibility: 1.0
});
}
}
// Create special test users
console.log('Creating special test users...');
// Super admins (high access to everything)
for (let i = 0; i < 3; i++) {
const adminKey = `admin:${i}`;
nodes.push({ key: adminKey, type: 'admin' });
metadata.testCases.admins.push(adminKey);
// Admin access to all groups and many docs
for (let g = 0; g < numGroups; g++) {
relations.push({
src: adminKey,
rel: 'admin_of',
dst: `group:${g}`,
possibility: 1.0
});
}
// Admin access to many documents
for (let d = 0; d < Math.min(1000, numDocs); d++) {
relations.push({
src: adminKey,
rel: 'can_read',
dst: `doc:${d}`,
possibility: 0.98
});
}
}
// New employees (minimal access)
for (let i = 0; i < 10; i++) {
const newEmpKey = `newbie:${i}`;
nodes.push({ key: newEmpKey, type: 'user' });
metadata.testCases.newEmployees.push(newEmpKey);
// Only basic group membership
relations.push({
src: newEmpKey,
rel: 'member_of',
dst: 'group:0', // Everyone group
possibility: 1.0
});
}
// Generate test cases for different confidence levels
console.log('Generating test cases...');
// High confidence cases (direct access)
for (let i = 0; i < 100; i++) {
const userIdx = Math.floor(Math.random() * numUsers);
const docIdx = Math.floor(Math.random() * numDocs);
metadata.testCases.highConfidenceAllow.push([`user:${userIdx}`, 'can_read', `doc:${docIdx}`]);
}
// Medium confidence cases (group-based access)
for (let i = 0; i < 100; i++) {
const userIdx = Math.floor(Math.random() * numUsers);
const docIdx = Math.floor(Math.random() * numDocs);
metadata.testCases.mediumConfidenceAllow.push([`user:${userIdx}`, 'can_read', `doc:${docIdx}`]);
}
// Low confidence cases (similarity-based)
for (let i = 0; i < 100; i++) {
const userIdx = Math.floor(Math.random() * numUsers);
const docIdx = Math.floor(Math.random() * numDocs);
metadata.testCases.lowConfidenceAllow.push([`user:${userIdx}`, 'can_read', `doc:${docIdx}`]);
}
// Should deny cases (cross-tenant, etc.)
for (let i = 0; i < 50; i++) {
const newEmpIdx = Math.floor(Math.random() * 10);
const docIdx = Math.floor(Math.random() * 1000) + 1000; // Higher doc numbers
metadata.testCases.shouldDeny.push([`newbie:${newEmpIdx}`, 'can_read', `doc:${docIdx}`]);
}
// Uncertain cases (edge cases)
for (let i = 0; i < 50; i++) {
const userIdx = Math.floor(Math.random() * numUsers);
const docIdx = Math.floor(Math.random() * numDocs);
metadata.testCases.uncertain.push([`user:${userIdx}`, 'can_read', `doc:${docIdx}`]);
}
// Define complex relation configurations
metadata.relationConfigs = {
can_read: {
union: [
{ type: 'direct', priority: 10, weight: 1.0 },
{
type: 'tuple_to_userset',
tuplesetRelation: 'member_of',
computedRelation: 'can_read',
priority: 8,
weight: 0.9
},
{
type: 'tuple_to_userset',
tuplesetRelation: 'works_on',
computedRelation: 'can_read',
priority: 7,
weight: 0.8
},
{
type: 'similar_to',
relation: 'can_read',
k: 5,
similarityThreshold: 0.4,
priority: 5,
weight: 0.6
},
{
type: 'multi_hop',
path: ['has_role', 'can_read'],
priority: 4,
weight: 0.7
}
]
},
admin_of: {
union: [
{ type: 'direct', priority: 10 },
{
type: 'tuple_to_userset',
tuplesetRelation: 'inherits_from',
computedRelation: 'admin_of',
priority: 8
}
]
}
};
// Calculate statistics
metadata.generation.stats = {
totalNodes: nodes.length,
totalRelations: relations.length,
nodeTypes: {
users: nodes.filter(n => n.type === 'user').length,
groups: nodes.filter(n => n.type === 'group').length,
docs: nodes.filter(n => n.type === 'doc').length,
roles: nodes.filter(n => n.type === 'role').length,
projects: nodes.filter(n => n.type === 'project').length,
devices: nodes.filter(n => n.type === 'device').length,
locations: nodes.filter(n => n.type === 'location').length,
admins: nodes.filter(n => n.type === 'admin').length
},
relationTypes: relations.reduce((acc, rel) => {
acc[rel.rel] = (acc[rel.rel] || 0) + 1;
return acc;
}, {}),
avgPossibility: relations.filter(r => r.possibility).reduce((sum, r) => sum + r.possibility, 0) / relations.filter(r => r.possibility).length
};
console.log('\\n📊 Graph Statistics:');
console.log(`Total nodes: ${metadata.generation.stats.totalNodes}`);
console.log(`Total relations: ${metadata.generation.stats.totalRelations}`);
console.log(`Node types:`, metadata.generation.stats.nodeTypes);
console.log(`Relation types:`, metadata.generation.stats.relationTypes);
console.log(`Average possibility: ${metadata.generation.stats.avgPossibility.toFixed(3)}`);
return { nodes, relations, metadata };
}
// Generate the canonical benchmark graph
console.log('🚀 Generating Canonical Benchmark Graph...');
const canonicalGraph = generateCanonicalBenchmarkGraph({
numUsers: 10000,
numGroups: 100,
numRoles: 20,
numProjects: 200,
numDocs: 5000,
numDevices: 1000,
numLocations: 50,
zipfianExponent: 1.2,
preferentialStrength: 0.8
});
// Save to file
const filename = 'canonical-benchmark-graph.json';
console.log(`\\n💾 Saving to ${filename}...`);
fs.writeFileSync(filename, JSON.stringify(canonicalGraph, null, 2));
console.log('\\n✅ Canonical benchmark graph generated successfully!');
console.log(`📁 Saved to: ${filename}`);
console.log(`📏 Size: ${(fs.statSync(filename).size / 1024 / 1024).toFixed(2)} MB`);
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@@ -0,0 +1,195 @@
import { performance } from 'node:perf_hooks';
import { CondensedGraph } from '../src/core/CondensedGraph.js';
import { WaveletTree } from '../src/core/graph/succinct/WaveletTree.js';
function parseArgs(argv) {
const args = new Map();
for (let i = 2; i < argv.length; i++) {
const value = argv[i];
if (!value.startsWith('--')) continue;
const [key, inline] = value.slice(2).split('=');
if (inline !== undefined) {
args.set(key, inline);
continue;
}
const next = argv[i + 1];
if (next && !next.startsWith('--')) {
args.set(key, next);
i++;
} else {
args.set(key, true);
}
}
return args;
}
const args = parseArgs(process.argv);
const edges = Number(args.get('edges') || 200000);
const users = Number(args.get('users') || 10000);
const docs = Number(args.get('docs') || 50000);
const bucketSize = Number(args.get('bucket') || 4096);
console.log('Shard size bench (relation + source-range)');
console.log(` edges: ${edges}`);
console.log(` users: ${users}`);
console.log(` docs: ${docs}`);
console.log(` bucket size: ${bucketSize}`);
const graph = new CondensedGraph();
const relations = ['owner', 'editor', 'viewer'];
const buildStart = performance.now();
for (let i = 0; i < edges; i++) {
graph.addEdge(`user:${i % users}`, relations[i % 3], `doc:${i % docs}`);
}
const buildTime = performance.now() - buildStart;
console.log(` build time: ${buildTime.toFixed(2)} ms`);
const relCount = graph.nextRelationId;
const bucketCount = Math.ceil(users / bucketSize);
const shardBuckets = new Array(relCount);
for (let r = 0; r < relCount; r++) {
shardBuckets[r] = new Array(bucketCount);
}
const adjacency = graph.adjacency;
for (let edgeIdx = 0; edgeIdx < graph.edgeIndex; edgeIdx++) {
const base = edgeIdx * 6;
const srcId = adjacency[base + 0];
const relId = adjacency[base + 1];
const dstId = adjacency[base + 2];
const bucket = Math.floor(srcId / bucketSize);
if (!shardBuckets[relId][bucket]) {
shardBuckets[relId][bucket] = { dstsBySrc: [], edgeCount: 0 };
}
const shard = shardBuckets[relId][bucket];
const local = srcId - bucket * bucketSize;
let list = shard.dstsBySrc[local];
if (!list) {
list = [];
shard.dstsBySrc[local] = list;
}
list.push(dstId);
shard.edgeCount++;
}
function sizeWaveletAdjacency(params) {
const {
sourceCount,
edgeCount,
boundaryWordCount,
boundaryBlockRankLength,
nodeCount,
totalWords,
totalRank
} = params;
let offset = 0;
const align = (n) => {
const pad = (n - (offset % n)) % n;
offset += pad;
};
offset += 4; // numNodes
offset += 4; // boundary length
offset += 4; // boundary word count
align(4);
offset += boundaryWordCount * 4;
offset += 4; // blockSize
offset += 4; // blockRank length
align(4);
offset += boundaryBlockRankLength * 4;
offset += 4; // edgeCount
align(4);
offset += edgeCount * 4; // edge indices
offset += 1; // hasTree
if (nodeCount > 0) {
offset += 4; // nodeCount
align(4);
offset += nodeCount * 4 * 11; // 11 uint32/int32 arrays
offset += 4; // isLeaf length
offset += nodeCount; // isLeaf bytes
offset += 4; // words length
align(4);
offset += totalWords * 4;
offset += 4; // rank length
align(4);
offset += totalRank * 4;
}
return offset;
}
function computeWaveletFlatSize(dstSequence, alphabetSize) {
if (!dstSequence.length) {
return { nodeCount: 0, totalWords: 0, totalRank: 0 };
}
const tree = new WaveletTree(new Uint32Array(dstSequence), alphabetSize);
const stack = [tree];
let nodeCount = 0;
let totalWords = 0;
let totalRank = 0;
while (stack.length) {
const node = stack.pop();
if (!node) continue;
nodeCount++;
if (node.bitvector) {
totalWords += node.bitvector.bitvector.length;
totalRank += node.bitvector.rankSelect.blockRank.length;
}
if (node.leftChild) stack.push(node.leftChild);
if (node.rightChild) stack.push(node.rightChild);
}
return { nodeCount, totalWords, totalRank };
}
const shardSizes = [];
const alphabetSize = graph.numNodes;
const blockSize = 512;
for (let relId = 0; relId < relCount; relId++) {
for (let b = 0; b < bucketCount; b++) {
const shard = shardBuckets[relId][b];
if (!shard || shard.edgeCount === 0) continue;
const sourceStart = b * bucketSize;
const sourceCount = Math.min(bucketSize, users - sourceStart);
const dstSequence = [];
for (let i = 0; i < sourceCount; i++) {
const list = shard.dstsBySrc[i];
if (!list) continue;
for (let j = 0; j < list.length; j++) {
dstSequence.push(list[j]);
}
}
const boundaryLength = sourceCount + shard.edgeCount + 1;
const boundaryWordCount = Math.ceil(boundaryLength / 32);
const boundaryBlockRankLength = Math.ceil(boundaryLength / blockSize) + 1;
const { nodeCount, totalWords, totalRank } = computeWaveletFlatSize(dstSequence, alphabetSize);
const bytes = sizeWaveletAdjacency({
sourceCount,
edgeCount: shard.edgeCount,
boundaryWordCount,
boundaryBlockRankLength,
nodeCount,
totalWords,
totalRank
});
shardSizes.push({ relId, bucket: b, edges: shard.edgeCount, bytes });
}
}
shardSizes.sort((a, b) => a.bytes - b.bytes);
const totalBytes = shardSizes.reduce((sum, shard) => sum + shard.bytes, 0);
const p = (q) => shardSizes[Math.floor((shardSizes.length - 1) * q)] || shardSizes[0];
const toMb = (bytes) => (bytes / 1024 / 1024).toFixed(2);
console.log('\nShard sizes');
console.log(` shards: ${shardSizes.length}`);
console.log(` total: ${toMb(totalBytes)} MB`);
console.log(` avg: ${toMb(totalBytes / shardSizes.length)} MB`);
console.log(` p50: ${toMb(p(0.5).bytes)} MB`);
console.log(` p95: ${toMb(p(0.95).bytes)} MB`);
console.log(` p99: ${toMb(p(0.99).bytes)} MB`);
console.log(` max: ${toMb(shardSizes[shardSizes.length - 1].bytes)} MB`);
console.log(` bytes/edge (avg): ${(totalBytes / edges).toFixed(2)}`);
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import fs from 'node:fs';
import path from 'node:path';
const manifestPath = process.argv[2] || 'tmp/shards-bench/manifest.json';
const manifest = JSON.parse(fs.readFileSync(manifestPath, 'utf8'));
const baseDir = path.dirname(manifestPath);
const shardSizes = [];
for (const shard of manifest.shards || []) {
const filePath = path.join(baseDir, shard.key);
const stat = fs.statSync(filePath);
shardSizes.push({
key: shard.key,
bytes: stat.size,
relationId: shard.relationId,
direction: shard.direction,
rangeStart: shard.rangeStart,
rangeEnd: shard.rangeEnd,
edgeCount: shard.edgeCount
});
}
if (!shardSizes.length) {
console.log('No shards found.');
process.exit(0);
}
shardSizes.sort((a, b) => a.bytes - b.bytes);
const totalBytes = shardSizes.reduce((sum, s) => sum + s.bytes, 0);
const toMb = (bytes) => (bytes / 1024 / 1024).toFixed(2);
const pick = (q) => shardSizes[Math.floor((shardSizes.length - 1) * q)];
console.log('Shard size distribution');
console.log(` shards: ${shardSizes.length}`);
console.log(` total: ${toMb(totalBytes)} MB`);
console.log(` avg: ${toMb(totalBytes / shardSizes.length)} MB`);
console.log(` p50: ${toMb(pick(0.5).bytes)} MB`);
console.log(` p90: ${toMb(pick(0.9).bytes)} MB`);
console.log(` p95: ${toMb(pick(0.95).bytes)} MB`);
console.log(` p99: ${toMb(pick(0.99).bytes)} MB`);
console.log(` max: ${toMb(shardSizes[shardSizes.length - 1].bytes)} MB`);
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import fs from 'node:fs';
import os from 'node:os';
import path from 'node:path';
import { CondensedGraph } from '../src/core/CondensedGraph.js';
import { ShardedSnapshotBuilder } from '../src/core/shards/ShardedSnapshotBuilder.js';
import { ShardedSnapshot } from '../src/core/shards/ShardedSnapshot.js';
import { FileShardStorage } from '../src/core/shards/FileShardStorage.js';
function parseArgs(argv) {
const args = new Map();
for (let i = 2; i < argv.length; i++) {
const value = argv[i];
if (!value.startsWith('--')) continue;
const [key, inline] = value.slice(2).split('=');
if (inline !== undefined) {
args.set(key, inline);
continue;
}
const next = argv[i + 1];
if (next && !next.startsWith('--')) {
args.set(key, next);
i++;
} else {
args.set(key, true);
}
}
return args;
}
function makeRng(seed = 1337) {
let state = seed >>> 0;
return () => {
state = (state * 1664525 + 1013904223) >>> 0;
return state / 0xffffffff;
};
}
function makeZipfSampler(count, skew, seed = 1337) {
const weights = new Float64Array(count);
let sum = 0;
for (let i = 1; i <= count; i++) {
const w = 1 / Math.pow(i, skew);
weights[i - 1] = w;
sum += w;
}
const cdf = new Float64Array(count);
let acc = 0;
for (let i = 0; i < count; i++) {
acc += weights[i] / sum;
cdf[i] = acc;
}
let state = seed >>> 0;
const rand = () => {
state = (state * 1664525 + 1013904223) >>> 0;
return state / 0xffffffff;
};
return () => {
const r = rand();
let lo = 0;
let hi = cdf.length - 1;
while (lo < hi) {
const mid = (lo + hi) >> 1;
if (r <= cdf[mid]) {
hi = mid;
} else {
lo = mid + 1;
}
}
return lo;
};
}
function nowNs() {
return process.hrtime.bigint();
}
function toMs(ns) {
return Number(ns) / 1e6;
}
function formatBytes(value) {
if (value === null || value === undefined) return 'n/a';
if (value < 1024) return `${value} B`;
if (value < 1024 * 1024) return `${(value / 1024).toFixed(2)} KB`;
if (value < 1024 * 1024 * 1024) return `${(value / (1024 * 1024)).toFixed(2)} MB`;
return `${(value / (1024 * 1024 * 1024)).toFixed(2)} GB`;
}
function computeNodeTableBytes(graph) {
if (!graph.nodeIds || typeof TextEncoder === 'undefined') return null;
const encoder = new TextEncoder();
let total = 0;
for (let i = 0; i < graph.numNodes; i++) {
const key = graph.getNodeKey(i);
const encoded = encoder.encode(key === undefined || key === null ? '' : String(key));
total += encoded.length;
}
const offsetsBytes = (graph.numNodes + 1) * 4;
return total + offsetsBytes;
}
function computeRelationTableBytes(graph) {
if (!graph.relationIdToName) return null;
const encoder = new TextEncoder();
let total = 0;
for (let i = 0; i < graph.relationIdToName.length; i++) {
const name = graph.relationIdToName[i];
const encoded = encoder.encode(name === undefined || name === null ? '' : String(name));
total += encoded.length;
}
return total;
}
function computeEdgeArrayBytes(graph) {
if (graph.edgeSrcIds) {
return graph.edgeSrcIds.byteLength
+ graph.edgeRelIds.byteLength
+ graph.edgeDstIds.byteLength
+ graph.edgePossibilityBits.byteLength
+ graph.edgeReliabilityBits.byteLength;
}
if (!graph.adjacency) return null;
const edgeCount = graph.edgeIndex;
const srcRelDstBytes = edgeCount * 3 * 4;
const possRelBytes = edgeCount * 2 * 2;
return srcRelDstBytes + possRelBytes;
}
function computeWaveletBytes(graph) {
let total = 0;
if (graph._waveletAll) total += graph._waveletAll.getMemoryUsage();
if (graph._waveletByRelId) {
for (const wavelet of graph._waveletByRelId) {
if (wavelet) total += wavelet.getMemoryUsage();
}
}
return total;
}
function computeMphBytes(graph) {
if (!graph._mphEnabled || !graph._mph) return 0;
const mph = graph._mph;
const seedsBytes = mph.seeds ? mph.seeds.byteLength : 0;
const tableBytes = mph.table ? mph.table.byteLength : 0;
const valuesBytes = mph.values instanceof Int32Array
? mph.values.byteLength
: mph.values
? Int32Array.from(mph.values).byteLength
: 0;
const keyIndicesBytes = mph.keyIndices instanceof Int32Array
? mph.keyIndices.byteLength
: mph.keyIndices
? Int32Array.from(mph.keyIndices).byteLength
: 0;
return seedsBytes + tableBytes + valuesBytes + keyIndicesBytes;
}
function logSnapshotBreakdown(graph, snapshotBytes) {
const edgeArrayBytes = computeEdgeArrayBytes(graph);
const valuesBytes = graph.values ? graph.values.byteLength : 0;
const nodeDegreeBytes = graph.nodeDegrees ? graph.nodeDegrees.byteLength : 0;
const nodeTableBytes = computeNodeTableBytes(graph);
const relationTableBytes = computeRelationTableBytes(graph);
const waveletBytes = computeWaveletBytes(graph);
const mphBytes = computeMphBytes(graph);
const snapshotWithoutValues = snapshotBytes !== null ? snapshotBytes - valuesBytes : null;
console.log('Snapshot breakdown');
console.log(` edge arrays: ${formatBytes(edgeArrayBytes)}`);
console.log(` values: ${formatBytes(valuesBytes)} (omit for KV: ${formatBytes(snapshotWithoutValues)})`);
console.log(` node degrees: ${formatBytes(nodeDegreeBytes)}`);
console.log(` wavelet: ${formatBytes(waveletBytes)}`);
console.log(` node table: ${formatBytes(nodeTableBytes)}`);
console.log(` relation table: ${formatBytes(relationTableBytes)}`);
console.log(` mph: ${formatBytes(mphBytes)}`);
}
class ValueProvider {
constructor(seed = 42) {
this.rng = makeRng(seed);
this._riskCache = new Map();
this._limitCache = new Map();
}
risk(userId, docId) {
const key = `${userId}:${docId}`;
if (this._riskCache.has(key)) return this._riskCache.get(key);
const h = (userId * 2654435761 + docId * 2246822519) >>> 0;
const value = (h % 1000) / 1000;
this._riskCache.set(key, value);
return value;
}
riskLimit(docId) {
if (this._limitCache.has(docId)) return this._limitCache.get(docId);
const h = (docId * 2654435761) >>> 0;
const value = 0.6 + ((h % 300) / 1000);
this._limitCache.set(docId, value);
return value;
}
}
function buildRelationMap(relationIdToName) {
const map = new Map();
for (let i = 0; i < relationIdToName.length; i++) {
map.set(relationIdToName[i], i);
}
return map;
}
function shardKey(snapshot, relationId, direction, nodeId) {
return snapshot.getShardKeyForNode(relationId, direction, nodeId);
}
function directCheck(snapshot, relationId, srcId, dstId, shardSet, missing) {
const key = shardKey(snapshot, relationId, 'out', srcId);
if (key) shardSet.add(key);
return snapshot.executeFindEdgeSync(srcId, relationId, dstId, missing) !== null;
}
function chainCheck(snapshot, relationIds, userId, docId, shardSet, missing, caches) {
if (snapshot.sameComponent(userId, docId) === false) return false;
const memberRel = relationIds.get('member');
const viewerRel = relationIds.get('viewer');
const memberDegree = snapshot.executeGetOutDegreeSync(userId, memberRel, missing);
const viewerDegree = snapshot.executeGetInDegreeSync(docId, viewerRel, missing);
if (memberDegree === null || viewerDegree === null) return null;
if (viewerDegree < memberDegree) {
const viewerKey = shardKey(snapshot, viewerRel, 'in', docId);
if (viewerKey) shardSet.add(viewerKey);
const cachedViewers = caches?.viewerByDoc?.get(docId);
const viewerEdges = cachedViewers || snapshot.executeGetInEdgesSync(docId, viewerRel, missing);
if (!viewerEdges) return null;
if (caches && !cachedViewers) caches.viewerByDoc.set(docId, viewerEdges);
for (const viewer of viewerEdges) {
const groupId = viewer.src;
const memberKey = shardKey(snapshot, memberRel, 'in', groupId);
if (memberKey) shardSet.add(memberKey);
const cachedMembers = caches?.memberByGroup?.get(groupId);
const memberEdges = cachedMembers || snapshot.executeGetInEdgesSync(groupId, memberRel, missing);
if (!memberEdges) return null;
if (caches && !cachedMembers) caches.memberByGroup.set(groupId, memberEdges);
for (const member of memberEdges) {
if (member.src === userId) return true;
}
}
return false;
}
const memberKey = shardKey(snapshot, memberRel, 'out', userId);
if (memberKey) shardSet.add(memberKey);
const cachedMembers = caches?.memberByUser?.get(userId);
const memberEdges = cachedMembers || snapshot.executeGetOutEdgesSync(userId, memberRel, missing);
if (!memberEdges) return null;
if (caches && !cachedMembers) caches.memberByUser.set(userId, memberEdges);
for (const member of memberEdges) {
const groupId = member.dst;
const viewerKey = shardKey(snapshot, viewerRel, 'out', groupId);
if (viewerKey) shardSet.add(viewerKey);
const cachedViewers = caches?.viewerByGroup?.get(groupId);
const viewerEdges = cachedViewers || snapshot.executeGetOutEdgesSync(groupId, viewerRel, missing);
if (!viewerEdges) return null;
if (caches && !cachedViewers) caches.viewerByGroup.set(groupId, viewerEdges);
for (const viewer of viewerEdges) {
if (viewer.dst === docId) return true;
}
}
return false;
}
function usersetComparatorCheck(snapshot, relationIds, valueProvider, docId, shardSet, missing, caches, limits, stats) {
const viewerRel = relationIds.get('viewer');
const memberRel = relationIds.get('member');
const riskRel = relationIds.get('risk');
if (snapshot.sameComponent(docId, docId) === false) return false;
const viewerKey = shardKey(snapshot, viewerRel, 'in', docId);
if (viewerKey) shardSet.add(viewerKey);
const cachedViewers = caches?.viewerByDoc?.get(docId);
const viewerEdges = cachedViewers || snapshot.executeGetInEdgesSync(docId, viewerRel, missing);
if (!viewerEdges) return null;
if (caches && !cachedViewers) caches.viewerByDoc.set(docId, viewerEdges);
let maxRisk = -Infinity;
let groupScanned = 0;
let userScanned = 0;
for (const viewer of viewerEdges) {
if (limits.maxGroups && groupScanned >= limits.maxGroups) {
if (stats) stats.cappedComparator++;
return false;
}
const groupId = viewer.src;
const memberKey = shardKey(snapshot, memberRel, 'in', groupId);
if (memberKey) shardSet.add(memberKey);
const cachedMembers = caches?.memberByGroup?.get(groupId);
const memberEdges = cachedMembers || snapshot.executeGetInEdgesSync(groupId, memberRel, missing);
if (!memberEdges) return null;
if (caches && !cachedMembers) caches.memberByGroup.set(groupId, memberEdges);
groupScanned++;
for (const member of memberEdges) {
if (limits.maxUsersTotal && userScanned >= limits.maxUsersTotal) {
if (stats) stats.cappedComparator++;
return false;
}
if (limits.maxUsersPerGroup && userScanned >= limits.maxUsersPerGroup * groupScanned) {
break;
}
const userId = member.src;
const riskShardKey = shardKey(snapshot, riskRel, 'out', userId);
if (riskShardKey) shardSet.add(riskShardKey);
const riskKey = `${userId}:${docId}`;
const cachedRisk = caches?.riskByUserDoc?.get(riskKey);
const hasRisk = cachedRisk !== undefined
? cachedRisk
: snapshot.executeFindEdgeSync(userId, riskRel, docId, missing);
if (!hasRisk && missing && missing.size > 0) return null;
if (hasRisk) {
if (caches && cachedRisk === undefined) caches.riskByUserDoc.set(riskKey, hasRisk);
const risk = valueProvider.risk(userId, docId);
if (risk > maxRisk) maxRisk = risk;
}
userScanned++;
}
}
if (maxRisk === -Infinity) return false;
const limit = valueProvider.riskLimit(docId);
return maxRisk <= limit;
}
function buildGraph({ edges, users, groups, docs, seed, userSkew, groupSkew, docSkew, buildWavelet }) {
const graph = new CondensedGraph();
const rng = makeRng(seed);
const memberEdges = Math.floor(edges * 0.3);
const viewerEdges = Math.floor(edges * 0.3);
const ownerEdges = Math.floor(edges * 0.1);
const riskEdges = Math.floor(edges * 0.2);
let riskLimitEdges = edges - memberEdges - viewerEdges - ownerEdges - riskEdges;
if (riskLimitEdges < 0) riskLimitEdges = 0;
const userSampler = makeZipfSampler(users, userSkew, 7);
const groupSampler = makeZipfSampler(groups, groupSkew, 11);
const docSampler = makeZipfSampler(docs, docSkew, 13);
for (let i = 0; i < memberEdges; i++) {
const userId = userSampler();
const groupId = groupSampler();
graph.addEdge(`user:${userId}`, 'member', `group:${groupId}`);
}
for (let i = 0; i < viewerEdges; i++) {
const groupId = groupSampler();
const docId = docSampler();
graph.addEdge(`group:${groupId}`, 'viewer', `doc:${docId}`);
}
for (let i = 0; i < ownerEdges; i++) {
const userId = userSampler();
const docId = docSampler();
graph.addEdge(`user:${userId}`, 'owner', `doc:${docId}`);
}
for (let i = 0; i < riskEdges; i++) {
const userId = userSampler();
const docId = docSampler();
const value = Math.min(1, Math.max(0, rng()));
graph.addEdge(`user:${userId}`, 'risk', `doc:${docId}`, { value, possibility: 1.0, reliability: 1.0 });
}
for (let i = 0; i < riskLimitEdges; i++) {
const docId = docSampler();
graph.addEdge(`doc:${docId}`, 'risk_limit', `doc:${docId}`, { value: 0.5, possibility: 1.0, reliability: 1.0 });
}
graph.finalizePerfectHash();
if (buildWavelet) {
graph.finalizeWaveletAdjacency({ dropAdjacencyList: true });
}
return graph;
}
function buildSnapshot(graph, outputDir, options) {
fs.mkdirSync(outputDir, { recursive: true });
const builder = new ShardedSnapshotBuilder(options);
return builder.build(graph, outputDir);
}
function runScenario(snapshot, options) {
const relationIds = buildRelationMap(snapshot.relationIdToName || []);
const valueProvider = new ValueProvider(options.seed);
const rng = makeRng(options.seed);
const cachePaths = options.cachePaths;
const limits = options.limits;
const stats = { cappedComparator: 0 };
const caches = cachePaths ? {
memberByUser: new Map(),
viewerByGroup: new Map(),
viewerByDoc: new Map(),
memberByGroup: new Map(),
riskByUserDoc: new Map()
} : null;
const userIds = [];
for (let i = 0; i < Math.min(options.userPool, options.users); i++) {
const id = snapshot.resolveNodeId(`user:${i}`);
if (id !== -1) userIds.push(id);
}
const docIds = [];
for (let i = 0; i < Math.min(options.docPool, options.docs); i++) {
const id = snapshot.resolveNodeId(`doc:${i}`);
if (id !== -1) docIds.push(id);
}
const directRel = relationIds.get('owner');
const memberRel = relationIds.get('member');
const viewerRel = relationIds.get('viewer');
const riskRel = relationIds.get('risk');
function sampleDirectPair() {
for (let i = 0; i < 200; i++) {
const userId = userIds[Math.floor(rng() * userIds.length)];
const edges = snapshot.getOutEdgesSync(userId, directRel);
if (edges.length > 0) {
const edge = edges[0];
return { userId, docId: edge.dst };
}
}
return null;
}
function sampleChainPair() {
for (let i = 0; i < 200; i++) {
const userId = userIds[Math.floor(rng() * userIds.length)];
const members = snapshot.getOutEdgesSync(userId, memberRel);
if (!members.length) continue;
const groupId = members[0].dst;
const viewers = snapshot.getOutEdgesSync(groupId, viewerRel);
if (!viewers.length) continue;
return { userId, docId: viewers[0].dst };
}
return null;
}
function sampleComparatorDoc() {
for (let i = 0; i < 200; i++) {
const docId = docIds[Math.floor(rng() * docIds.length)];
const viewers = snapshot.getInEdgesSync(docId, viewerRel);
if (!viewers.length) continue;
const groupId = viewers[0].src;
const members = snapshot.getInEdgesSync(groupId, memberRel);
if (!members.length) continue;
const userId = members[0].src;
const riskEdge = snapshot.findEdgeSync(userId, riskRel, docId);
if (riskEdge) return { docId };
}
return null;
}
const directPairs = [];
const chainPairs = [];
const comparatorDocs = [];
while (directPairs.length < options.queries) {
const pair = sampleDirectPair();
if (!pair) break;
directPairs.push(pair);
}
while (chainPairs.length < options.queries) {
const pair = sampleChainPair();
if (!pair) break;
chainPairs.push(pair);
}
while (comparatorDocs.length < options.queries) {
const pair = sampleComparatorDoc();
if (!pair) break;
comparatorDocs.push(pair);
}
let directHits = 0;
let chainHits = 0;
let comparatorHits = 0;
let directShardCount = 0;
let chainShardCount = 0;
let comparatorShardCount = 0;
let directStart = nowNs();
for (let i = 0; i < directPairs.length; i++) {
let ok = null;
let replans = 0;
while (ok === null && replans < 4) {
const missing = new Set();
const shards = new Set();
ok = directCheck(snapshot, directRel, directPairs[i].userId, directPairs[i].docId, shards, missing);
if (missing.size > 0) {
snapshot.prefetchPlanSync(missing);
replans++;
ok = null;
continue;
}
if (ok) directHits++;
directShardCount += shards.size;
}
}
let directTime = nowNs() - directStart;
let chainStart = nowNs();
for (let i = 0; i < chainPairs.length; i++) {
let ok = null;
let replans = 0;
while (ok === null && replans < 4) {
const missing = new Set();
const shards = new Set();
ok = chainCheck(snapshot, relationIds, chainPairs[i].userId, chainPairs[i].docId, shards, missing, caches);
if (missing.size > 0) {
snapshot.prefetchPlanSync(missing);
replans++;
ok = null;
continue;
}
if (ok) chainHits++;
chainShardCount += shards.size;
}
}
let chainTime = nowNs() - chainStart;
let comparatorStart = nowNs();
for (let i = 0; i < comparatorDocs.length; i++) {
let ok = null;
let replans = 0;
while (ok === null && replans < 4) {
const missing = new Set();
const shards = new Set();
ok = usersetComparatorCheck(snapshot, relationIds, valueProvider, comparatorDocs[i].docId, shards, missing, caches, limits, stats);
if (missing.size > 0) {
snapshot.prefetchPlanSync(missing);
replans++;
ok = null;
continue;
}
if (ok) comparatorHits++;
comparatorShardCount += shards.size;
}
}
let comparatorTime = nowNs() - comparatorStart;
return {
samples: {
direct: directPairs.length,
chain: chainPairs.length,
comparator: comparatorDocs.length
},
avgMs: {
direct: toMs(directTime) / Math.max(1, directPairs.length),
chain: toMs(chainTime) / Math.max(1, chainPairs.length),
comparator: toMs(comparatorTime) / Math.max(1, comparatorDocs.length)
},
hits: {
direct: directHits,
chain: chainHits,
comparator: comparatorHits
},
shardsPerQuery: {
direct: directShardCount / Math.max(1, directPairs.length),
chain: chainShardCount / Math.max(1, chainPairs.length),
comparator: comparatorShardCount / Math.max(1, comparatorDocs.length)
},
comparatorCapped: stats.cappedComparator,
cacheStats: snapshot.getStats()
};
}
function componentCount(snapshot) {
if (!snapshot._componentByNode) return null;
let max = -1;
for (let i = 0; i < snapshot._componentByNode.length; i++) {
const value = snapshot._componentByNode[i];
if (value > max) max = value;
}
return max + 1;
}
const args = parseArgs(process.argv);
const edges = Number(args.get('edges') || 200000);
const users = Number(args.get('users') || 50000);
const groups = Number(args.get('groups') || 2000);
const docs = Number(args.get('docs') || 100000);
const bucketSize = Number(args.get('bucket') || 65536);
const directions = args.get('directions')
? String(args.get('directions')).split(',')
: ['out', 'in'];
const componentRelations = args.get('component-relations')
? String(args.get('component-relations')).split(',')
: ['member', 'viewer'];
const queries = Number(args.get('queries') || 1000);
const seed = Number(args.get('seed') || 1337);
const userSkew = Number(args.get('user-skew') || 1.2);
const groupSkew = Number(args.get('group-skew') || 1.1);
const docSkew = Number(args.get('doc-skew') || 1.15);
const userPool = Number(args.get('user-pool') || 5000);
const docPool = Number(args.get('doc-pool') || 5000);
const cachePaths = args.get('cache-paths') !== 'false';
const targetShardBytes = Number(args.get('target-shard-bytes') || 0);
const bytesPerEdgeEstimate = Number(args.get('bytes-per-edge') || 32);
const buildWavelet = args.get('build-wavelet') === 'true';
const streamRelations = args.get('stream-relations') !== 'false';
const maxSnapshotBytes = Number(args.get('max-snapshot-bytes') || 52428800);
const omitNodeTable = args.get('omit-node-table') !== 'false';
const maxGroups = Number(args.get('max-groups') || 0);
const maxUsersPerGroup = Number(args.get('max-users-per-group') || 0);
const maxUsersTotal = Number(args.get('max-users-total') || 0);
const limits = {
maxGroups: maxGroups > 0 ? maxGroups : null,
maxUsersPerGroup: maxUsersPerGroup > 0 ? maxUsersPerGroup : null,
maxUsersTotal: maxUsersTotal > 0 ? maxUsersTotal : null
};
console.log('Sharded component bench');
console.log(` edges: ${edges}`);
console.log(` users: ${users}`);
console.log(` groups: ${groups}`);
console.log(` docs: ${docs}`);
console.log(` bucket: ${bucketSize}`);
console.log(` directions: ${directions.join(',')}`);
console.log(` component relations: ${componentRelations.join(',')}`);
console.log(` queries: ${queries}`);
console.log(` user pool: ${userPool}`);
console.log(` doc pool: ${docPool}`);
console.log(` cache paths: ${cachePaths}`);
console.log(` max groups: ${limits.maxGroups || 'none'}`);
console.log(` max users/group: ${limits.maxUsersPerGroup || 'none'}`);
console.log(` max users total: ${limits.maxUsersTotal || 'none'}`);
console.log(` build wavelet: ${buildWavelet}`);
console.log(` stream relations: ${streamRelations}`);
console.log(` max snapshot bytes: ${maxSnapshotBytes}`);
console.log(` omit node table: ${omitNodeTable}`);
if (targetShardBytes > 0) {
console.log(` target shard bytes: ${targetShardBytes}`);
console.log(` bytes/edge estimate: ${bytesPerEdgeEstimate}`);
}
const graph = buildGraph({ edges, users, groups, docs, seed, userSkew, groupSkew, docSkew, buildWavelet });
graph._omitNodeIdTable = omitNodeTable;
let snapshotBytes = null;
if (buildWavelet) {
const snapshotBuffer = graph.toBinary();
snapshotBytes = snapshotBuffer.byteLength;
console.log(` snapshot bytes: ${snapshotBytes}`);
logSnapshotBreakdown(graph, snapshotBytes);
} else {
console.log(' snapshot bytes: unknown (build wavelet disabled)');
}
if (snapshotBytes !== null && snapshotBytes <= maxSnapshotBytes) {
console.log('Snapshot below threshold; sharding skipped.');
process.exit(0);
}
const baseDir = fs.mkdtempSync(path.join(os.tmpdir(), 'sharded-component-'));
const rangeDir = path.join(baseDir, 'range');
const componentDir = path.join(baseDir, 'component');
const rangeManifest = buildSnapshot(graph, rangeDir, {
bucketSize,
includeDirections: directions,
shardMode: 'range',
streamRelations
});
const componentManifest = buildSnapshot(graph, componentDir, {
bucketSize,
includeDirections: directions,
shardMode: 'component',
componentRelations,
targetShardBytes: targetShardBytes > 0 ? targetShardBytes : null,
bytesPerEdgeEstimate,
streamRelations
});
const rangeStorage = new FileShardStorage(rangeDir);
const componentStorage = new FileShardStorage(componentDir);
const rangeSnapshot = new ShardedSnapshot(rangeManifest, rangeStorage, { cacheLimit: 32, recentLimit: 128 });
const componentSnapshot = new ShardedSnapshot(componentManifest, componentStorage, { cacheLimit: 32, recentLimit: 128 });
rangeSnapshot.initializeSync();
componentSnapshot.initializeSync();
const scenarioOptions = {
users,
docs,
userPool,
docPool,
queries,
seed,
cachePaths,
limits
};
const rangeResults = runScenario(rangeSnapshot, scenarioOptions);
const componentResults = runScenario(componentSnapshot, scenarioOptions);
console.log('Results');
console.log(` range shards: ${rangeManifest.shards.length}`);
console.log(` component shards: ${componentManifest.shards.length}`);
console.log(` component count: ${componentCount(componentSnapshot)}`);
console.log('Range');
console.log(` direct avg: ${(rangeResults.avgMs.direct * 1000).toFixed(3)} µs`);
console.log(` direct shards/query: ${rangeResults.shardsPerQuery.direct.toFixed(2)}`);
console.log(` chain avg: ${(rangeResults.avgMs.chain * 1000).toFixed(3)} µs`);
console.log(` chain shards/query: ${rangeResults.shardsPerQuery.chain.toFixed(2)}`);
console.log(` comparator avg: ${(rangeResults.avgMs.comparator * 1000).toFixed(3)} µs`);
console.log(` comparator shards/query: ${rangeResults.shardsPerQuery.comparator.toFixed(2)}`);
console.log(` comparator capped: ${rangeResults.comparatorCapped}`);
console.log('Component');
console.log(` direct avg: ${(componentResults.avgMs.direct * 1000).toFixed(3)} µs`);
console.log(` direct shards/query: ${componentResults.shardsPerQuery.direct.toFixed(2)}`);
console.log(` chain avg: ${(componentResults.avgMs.chain * 1000).toFixed(3)} µs`);
console.log(` chain shards/query: ${componentResults.shardsPerQuery.chain.toFixed(2)}`);
console.log(` comparator avg: ${(componentResults.avgMs.comparator * 1000).toFixed(3)} µs`);
console.log(` comparator shards/query: ${componentResults.shardsPerQuery.comparator.toFixed(2)}`);
console.log(` comparator capped: ${componentResults.comparatorCapped}`);
console.log('Cache stats (range)');
console.log(rangeResults.cacheStats);
console.log('Cache stats (component)');
console.log(componentResults.cacheStats);
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import fs from 'node:fs';
import os from 'node:os';
import path from 'node:path';
import { CondensedGraph } from '../src/core/CondensedGraph.js';
import { ShardedSnapshotBuilder } from '../src/core/shards/ShardedSnapshotBuilder.js';
import { ShardedSnapshot } from '../src/core/shards/ShardedSnapshot.js';
import { FileShardStorage } from '../src/core/shards/FileShardStorage.js';
import { DeltaShardBinary } from '../src/core/shards/DeltaShardBinary.js';
import { WaveletShardBinary } from '../src/core/shards/WaveletShardBinary.js';
function parseArgs(argv) {
const args = new Map();
for (let i = 2; i < argv.length; i++) {
const value = argv[i];
if (!value.startsWith('--')) continue;
const [key, inline] = value.slice(2).split('=');
if (inline !== undefined) {
args.set(key, inline);
continue;
}
const next = argv[i + 1];
if (next && !next.startsWith('--')) {
args.set(key, next);
i++;
} else {
args.set(key, true);
}
}
return args;
}
function makeRng(seed = 1337) {
let state = seed >>> 0;
return () => {
state = (state * 1664525 + 1013904223) >>> 0;
return state / 0xffffffff;
};
}
function buildGraph({ edges, users, groups, docs, seed }) {
const graph = new CondensedGraph();
const rng = makeRng(seed);
for (let i = 0; i < edges; i++) {
const userId = Math.floor(rng() * users);
const groupId = Math.floor(rng() * groups);
const docId = Math.floor(rng() * docs);
graph.addEdge(`user:${userId}`, 'member', `group:${groupId}`);
graph.addEdge(`group:${groupId}`, 'viewer', `doc:${docId}`);
}
graph.finalizePerfectHash();
graph.finalizeWaveletAdjacency({ dropAdjacencyList: true });
return graph;
}
function pickDeltaEdges(snapshot, relationId, count, seed) {
const rng = makeRng(seed);
const nodeCount = snapshot.nodeCount;
const adds = [];
const removes = [];
for (let i = 0; i < count; i++) {
const srcId = Math.floor(rng() * nodeCount);
const edges = snapshot.getOutEdgesSync(srcId, relationId);
if (edges.length && rng() < 0.5) {
const edge = edges[Math.floor(rng() * edges.length)];
removes.push({ srcId, dstId: edge.dst });
} else {
const dstId = Math.floor(rng() * nodeCount);
adds.push({ srcId, dstId, possBits: 65535, relBits: 65535 });
}
}
return { adds, removes };
}
function localizeDelta(snapshot, shard, srcId) {
const localSource = snapshot._localSource(srcId, shard);
return localSource;
}
function shardKeyForEdge(snapshot, relationId, direction, srcId) {
const shardMeta = snapshot._selectShardMeta(relationId, direction, srcId);
return shardMeta ? shardMeta.cacheKey : null;
}
function buildDeltaLayer(snapshot, storage, layerDir, relationId, delta, name) {
fs.mkdirSync(layerDir, { recursive: true });
const layerShards = new Map();
for (const add of delta.adds) {
const key = shardKeyForEdge(snapshot, relationId, 'out', add.srcId);
if (!key) continue;
const shardMeta = snapshot._cacheIndex.get(key);
const entry = layerShards.get(key) || { shardMeta, additions: [], removals: [] };
const localSource = localizeDelta(snapshot, shardMeta, add.srcId);
entry.additions.push({ srcLocal: localSource, otherId: add.dstId, possBits: add.possBits, relBits: add.relBits });
layerShards.set(key, entry);
}
for (const rem of delta.removes) {
const key = shardKeyForEdge(snapshot, relationId, 'out', rem.srcId);
if (!key) continue;
const shardMeta = snapshot._cacheIndex.get(key);
const entry = layerShards.get(key) || { shardMeta, additions: [], removals: [] };
const localSource = localizeDelta(snapshot, shardMeta, rem.srcId);
entry.removals.push({ srcLocal: localSource, otherId: rem.dstId });
layerShards.set(key, entry);
}
const layerManifest = { name, shards: [] };
for (const [cacheKey, entry] of layerShards.entries()) {
const shardKey = `delta-${name}-${entry.shardMeta.key}`;
const buffer = DeltaShardBinary.serialize({
relationId: entry.shardMeta.relationId,
direction: entry.shardMeta.direction,
rangeStart: entry.shardMeta.rangeStart,
rangeEnd: entry.shardMeta.rangeEnd,
nodeCount: snapshot.nodeCount,
additions: entry.additions,
removals: entry.removals
});
fs.writeFileSync(path.join(layerDir, shardKey), new Uint8Array(buffer));
layerManifest.shards.push({
key: shardKey,
relationId: entry.shardMeta.relationId,
direction: entry.shardMeta.direction,
rangeStart: entry.shardMeta.rangeStart,
rangeEnd: entry.shardMeta.rangeEnd,
cacheKey
});
}
return layerManifest;
}
function compactLayer(snapshot, layerStorage, layer, outputDir) {
fs.mkdirSync(outputDir, { recursive: true });
let compacted = 0;
for (const shardMeta of layer.shards) {
const base = snapshot._cacheIndex.get(shardMeta.cacheKey);
if (!base) continue;
const shard = snapshot._loadShardSync(base.relationId, base.direction, base.rangeStart);
if (!shard) continue;
const deltaBuffer = layerStorage.getSync(shardMeta.key);
if (!deltaBuffer) continue;
const deltaShard = DeltaShardBinary.deserialize(deltaBuffer);
const rangeSize = shard.rangeEnd - shard.rangeStart;
const sources = new Array(rangeSize);
for (let localSource = 0; localSource < rangeSize; localSource++) {
const range = snapshot._rangeForSource(shard, localSource);
const list = [];
if (range) {
for (let pos = range.start; pos < range.end; pos++) {
list.push({ otherId: shard.dstIds[pos], possBits: shard.possBits[pos], relBits: shard.relBits[pos] });
}
}
sources[localSource] = list;
}
for (const removal of deltaShard.removals) {
const list = sources[removal.srcLocal];
if (!list) continue;
const idx = list.findIndex((item) => item.otherId === removal.otherId);
if (idx !== -1) list.splice(idx, 1);
}
for (const addition of deltaShard.additions) {
const list = sources[addition.srcLocal] || (sources[addition.srcLocal] = []);
list.push({ otherId: addition.otherId, possBits: addition.possBits, relBits: addition.relBits });
}
const buffer = WaveletShardBinary.serialize({
relationId: shard.relationId,
direction: shard.direction,
rangeStart: shard.rangeStart,
rangeEnd: shard.rangeEnd,
nodeCount: snapshot.nodeCount,
sources
});
fs.writeFileSync(path.join(outputDir, base.key), new Uint8Array(buffer));
compacted++;
}
return compacted;
}
const args = parseArgs(process.argv);
const edges = Number(args.get('edges') || 200000);
const users = Number(args.get('users') || 50000);
const groups = Number(args.get('groups') || 2000);
const docs = Number(args.get('docs') || 100000);
const bucketSize = Number(args.get('bucket') || 4096);
const deltaEdges = Number(args.get('delta-edges') || 10000);
const seed = Number(args.get('seed') || 1337);
console.log('Sharded delta compact');
console.log(` edges: ${edges}`);
console.log(` delta edges: ${deltaEdges}`);
const graph = buildGraph({ edges, users, groups, docs, seed });
const baseDir = fs.mkdtempSync(path.join(os.tmpdir(), 'sharded-delta-'));
const baseShardDir = path.join(baseDir, 'base');
const deltaDir = path.join(baseDir, 'delta');
const compactDir = path.join(baseDir, 'compact');
const builder = new ShardedSnapshotBuilder({ bucketSize, includeDirections: ['out', 'in'], shardMode: 'range' });
const manifest = builder.build(graph, baseShardDir);
const storage = new FileShardStorage(baseShardDir);
const snapshot = new ShardedSnapshot(manifest, storage, { cacheLimit: 32, recentLimit: 128 });
snapshot.initializeSync();
const relationId = snapshot.relationIdToName.indexOf('member');
const delta = pickDeltaEdges(snapshot, relationId, deltaEdges, seed + 1);
const layerManifest = buildDeltaLayer(snapshot, storage, deltaDir, relationId, delta, 'l1');
const deltaStorage = new FileShardStorage(deltaDir);
snapshot.setDeltaLayers([{ shards: layerManifest.shards, storage: deltaStorage }]);
const compacted = compactLayer(snapshot, deltaStorage, layerManifest, compactDir);
console.log(`Compacted shards: ${compacted}`);
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import fs from 'node:fs';
import os from 'node:os';
import path from 'node:path';
import { performance } from 'node:perf_hooks';
import { CondensedGraph } from '../src/core/CondensedGraph.js';
import { ShardedSnapshotBuilder } from '../src/core/shards/ShardedSnapshotBuilder.js';
import { ShardedSnapshot } from '../src/core/shards/ShardedSnapshot.js';
import { FileShardStorage } from '../src/core/shards/FileShardStorage.js';
import { DeltaShardBinary } from '../src/core/shards/DeltaShardBinary.js';
import { WaveletShardBinary } from '../src/core/shards/WaveletShardBinary.js';
function parseArgs(argv) {
const args = new Map();
for (let i = 2; i < argv.length; i++) {
const value = argv[i];
if (!value.startsWith('--')) continue;
const [key, inline] = value.slice(2).split('=');
if (inline !== undefined) {
args.set(key, inline);
continue;
}
const next = argv[i + 1];
if (next && !next.startsWith('--')) {
args.set(key, next);
i++;
} else {
args.set(key, true);
}
}
return args;
}
function makeRng(seed = 1337) {
let state = seed >>> 0;
return () => {
state = (state * 1664525 + 1013904223) >>> 0;
return state / 0xffffffff;
};
}
function makeZipfSampler(count, skew, seed = 1337) {
const weights = new Float64Array(count);
let sum = 0;
for (let i = 1; i <= count; i++) {
const w = 1 / Math.pow(i, skew);
weights[i - 1] = w;
sum += w;
}
const cdf = new Float64Array(count);
let acc = 0;
for (let i = 0; i < count; i++) {
acc += weights[i] / sum;
cdf[i] = acc;
}
let state = seed >>> 0;
const rand = () => {
state = (state * 1664525 + 1013904223) >>> 0;
return state / 0xffffffff;
};
return () => {
const r = rand();
let lo = 0;
let hi = cdf.length - 1;
while (lo < hi) {
const mid = (lo + hi) >> 1;
if (r <= cdf[mid]) {
hi = mid;
} else {
lo = mid + 1;
}
}
return lo;
};
}
function buildGraph({ edges, users, docs, seed }) {
const graph = new CondensedGraph();
const rng = makeRng(seed);
for (let i = 0; i < edges; i++) {
const userId = Math.floor(rng() * users);
const docId = Math.floor(rng() * docs);
graph.addEdge(`user:${userId}`, 'owner', `doc:${docId}`);
}
graph.finalizePerfectHash();
graph.finalizeWaveletAdjacency({ dropAdjacencyList: true });
return graph;
}
function buildDeltaLayer(snapshot, relationId, deltaEdges, seed, dir, skew) {
const rng = makeRng(seed);
const nodeCount = snapshot.nodeCount;
const sampler = skew ? makeZipfSampler(nodeCount, skew, seed + 11) : null;
const buckets = new Map();
let addCount = 0;
let removeCount = 0;
for (let i = 0; i < deltaEdges; i++) {
const srcId = sampler ? sampler() : Math.floor(rng() * nodeCount);
const dstId = sampler ? sampler() : Math.floor(rng() * nodeCount);
const shardMeta = snapshot._selectShardMeta(relationId, 'out', srcId);
if (!shardMeta) continue;
const localSource = snapshot._localSource(srcId, shardMeta);
const key = shardMeta.cacheKey;
let entry = buckets.get(key);
if (!entry) {
entry = { shardMeta, additions: [], removals: [] };
buckets.set(key, entry);
}
if (rng() < 0.5) {
entry.removals.push({ srcLocal: localSource, otherId: dstId });
removeCount++;
} else {
entry.additions.push({ srcLocal: localSource, otherId: dstId, possBits: 65535, relBits: 65535 });
addCount++;
}
}
fs.mkdirSync(dir, { recursive: true });
const shards = [];
for (const entry of buckets.values()) {
const shardKey = `delta-${entry.shardMeta.key}`;
const buffer = DeltaShardBinary.serialize({
relationId: entry.shardMeta.relationId,
direction: entry.shardMeta.direction,
rangeStart: entry.shardMeta.rangeStart,
rangeEnd: entry.shardMeta.rangeEnd,
nodeCount: snapshot.nodeCount,
additions: entry.additions,
removals: entry.removals
});
fs.writeFileSync(path.join(dir, shardKey), new Uint8Array(buffer));
shards.push({
key: shardKey,
relationId: entry.shardMeta.relationId,
direction: entry.shardMeta.direction,
rangeStart: entry.shardMeta.rangeStart,
rangeEnd: entry.shardMeta.rangeEnd,
cacheKey: entry.shardMeta.cacheKey
});
}
return { shards, storage: new FileShardStorage(dir), addCount, removeCount };
}
function buildQueries(snapshot, relationId, count, seed) {
const rng = makeRng(seed);
const queries = [];
for (let i = 0; i < count; i++) {
const srcId = Math.floor(rng() * snapshot.nodeCount);
const edges = snapshot.getOutEdgesSync(srcId, relationId);
if (edges.length) {
const edge = edges[Math.floor(rng() * edges.length)];
queries.push([srcId, edge.dst]);
} else {
const dstId = Math.floor(rng() * snapshot.nodeCount);
queries.push([srcId, dstId]);
}
}
return queries;
}
function timeFindEdges(snapshot, relationId, queries) {
const start = performance.now();
let found = 0;
for (const [srcId, dstId] of queries) {
if (snapshot.findEdgeSync(srcId, relationId, dstId)) found++;
}
const duration = performance.now() - start;
return { duration, found };
}
function compactLayer(snapshot, layer, outputDir) {
fs.mkdirSync(outputDir, { recursive: true });
let compacted = 0;
for (const shardMeta of layer.shards) {
const base = snapshot._cacheIndex.get(shardMeta.cacheKey);
if (!base) continue;
const shard = snapshot._loadShardSync(base.relationId, base.direction, base.rangeStart);
if (!shard) continue;
const deltaBuffer = layer.storage.getSync(shardMeta.key);
if (!deltaBuffer) continue;
const deltaShard = DeltaShardBinary.deserialize(deltaBuffer);
const rangeSize = shard.rangeEnd - shard.rangeStart;
const sources = new Array(rangeSize);
for (let localSource = 0; localSource < rangeSize; localSource++) {
const range = snapshot._rangeForSource(shard, localSource);
const list = [];
if (range) {
for (let pos = range.start; pos < range.end; pos++) {
list.push({ otherId: shard.dstIds[pos], possBits: shard.possBits[pos], relBits: shard.relBits[pos] });
}
}
sources[localSource] = list;
}
for (const removal of deltaShard.removals) {
const list = sources[removal.srcLocal];
if (!list) continue;
const idx = list.findIndex((item) => item.otherId === removal.otherId);
if (idx !== -1) list.splice(idx, 1);
}
for (const addition of deltaShard.additions) {
const list = sources[addition.srcLocal] || (sources[addition.srcLocal] = []);
list.push({ otherId: addition.otherId, possBits: addition.possBits, relBits: addition.relBits });
}
const buffer = WaveletShardBinary.serialize({
relationId: shard.relationId,
direction: shard.direction,
rangeStart: shard.rangeStart,
rangeEnd: shard.rangeEnd,
nodeCount: snapshot.nodeCount,
sources
});
fs.writeFileSync(path.join(outputDir, base.key), new Uint8Array(buffer));
compacted++;
}
return compacted;
}
function sumDeltaBytes(dir) {
let total = 0;
const entries = fs.readdirSync(dir, { withFileTypes: true });
for (const entry of entries) {
if (!entry.isFile()) continue;
const stat = fs.statSync(path.join(dir, entry.name));
total += stat.size;
}
return total;
}
function sumShardBytes(dir, manifest) {
let total = 0;
if (manifest.nodeTableKey) {
const nodeTablePath = path.join(dir, manifest.nodeTableKey);
if (fs.existsSync(nodeTablePath)) total += fs.statSync(nodeTablePath).size;
}
if (manifest.componentKey) {
const componentPath = path.join(dir, manifest.componentKey);
if (fs.existsSync(componentPath)) total += fs.statSync(componentPath).size;
}
for (const shard of manifest.shards || []) {
const shardPath = path.join(dir, shard.key);
if (fs.existsSync(shardPath)) total += fs.statSync(shardPath).size;
}
return total;
}
function shardSizeStats(dir, manifest) {
const sizes = [];
for (const shard of manifest.shards || []) {
const shardPath = path.join(dir, shard.key);
if (fs.existsSync(shardPath)) sizes.push(fs.statSync(shardPath).size);
}
sizes.sort((a, b) => a - b);
if (!sizes.length) return { p50: 0, p95: 0, p99: 0, max: 0, min: 0 };
const pct = (p) => sizes[Math.min(sizes.length - 1, Math.floor(p * sizes.length))];
return {
p50: pct(0.5),
p95: pct(0.95),
p99: pct(0.99),
max: sizes[sizes.length - 1],
min: sizes[0]
};
}
const args = parseArgs(process.argv);
const edges = Number(args.get('edges') || 200000);
const users = Number(args.get('users') || 50000);
const docs = Number(args.get('docs') || 100000);
const bucketSize = Number(args.get('bucket') || 65536);
const queryCount = Number(args.get('queries') || 20000);
const seed = Number(args.get('seed') || 1337);
const deltaPowers = String(args.get('delta-powers') || '0,1,2,3').split(',').map((v) => Number(v.trim()));
const compactAt = Number(args.get('compact-at') || 0);
const deltaSkew = Number(args.get('delta-skew') || 0);
const shardMode = String(args.get('shard-mode') || 'chain');
const componentRelations = args.get('component-relations')
? String(args.get('component-relations')).split(',').map((v) => v.trim()).filter(Boolean)
: ['owner'];
console.log('Sharded delta overlay bench');
console.log(` edges: ${edges}`);
console.log(` users: ${users}`);
console.log(` docs: ${docs}`);
console.log(` queries: ${queryCount}`);
console.log(` delta powers: ${deltaPowers.join(',')}`);
if (compactAt > 0) console.log(` compact at: ${compactAt}`);
if (deltaSkew > 0) console.log(` delta skew: ${deltaSkew}`);
console.log(` shard mode: ${shardMode}`);
console.log(` component relations: ${componentRelations.join(',')}`);
console.log(' note: timings are per-query averages; expect noise and cache effects. Compare trends, not single points.');
const graph = buildGraph({ edges, users, docs, seed });
const baseDir = fs.mkdtempSync(path.join(os.tmpdir(), 'sharded-delta-bench-'));
let shardDir = path.join(baseDir, 'base');
const builder = new ShardedSnapshotBuilder({
bucketSize,
includeDirections: ['out', 'in'],
shardMode,
componentRelations
});
const manifest = builder.build(graph, shardDir);
let storage = new FileShardStorage(shardDir);
let snapshot = new ShardedSnapshot(manifest, storage, { cacheLimit: 64, recentLimit: 256 });
snapshot.initializeSync();
const relationId = snapshot.relationIdToName.indexOf('owner');
const queries = buildQueries(snapshot, relationId, queryCount, seed + 9);
console.log('Delta size vs avg findEdge time');
console.log('edges | base_bytes | shard_files | shard_p50 | shard_p95 | shard_p99 | deltaEdges | avg_us_per_query | delta_bytes | compact_ms | compact_us_per_edge');
let baseEdges = edges;
const baseline = timeFindEdges(snapshot, relationId, queries);
const baseBytes = sumShardBytes(shardDir, manifest);
const shardFiles = countShardFiles(manifest);
const shardStats = shardSizeStats(shardDir, manifest);
console.log(`${baseEdges} | ${baseBytes} | ${shardFiles} | ${shardStats.p50} | ${shardStats.p95} | ${shardStats.p99} | 0 | ${(baseline.duration / queryCount) * 1000} | 0 | - | -`);
for (const power of deltaPowers) {
const deltaEdges = Math.max(1, Math.floor(Math.pow(10, power)));
const layerDir = path.join(baseDir, `delta-${power}`);
const layer = buildDeltaLayer(snapshot, relationId, deltaEdges, seed + power + 1, layerDir, deltaSkew);
snapshot.setDeltaLayers([layer]);
snapshot.clearDeltaCache();
const result = timeFindEdges(snapshot, relationId, queries);
const avgUs = (result.duration / queryCount) * 1000;
const deltaBytes = sumDeltaBytes(layerDir);
let baseBytesNow = baseBytes;
let shardFilesNow = shardFiles;
let shardStatsNow = shardStats;
let compactMs = '-';
let compactUsPerEdge = '-';
if (compactAt > 0 && deltaEdges >= compactAt) {
const compactDir = path.join(baseDir, `compact-${power}`);
const start = performance.now();
compactLayer(snapshot, layer, compactDir);
const totalMs = performance.now() - start;
compactMs = totalMs.toFixed(2);
const denom = Math.max(1, layer.addCount + layer.removeCount);
compactUsPerEdge = ((totalMs * 1000) / denom).toFixed(3);
baseEdges = Math.max(0, baseEdges + layer.addCount - layer.removeCount);
const newBaseDir = path.join(baseDir, `base-${power}`);
fs.rmSync(newBaseDir, { recursive: true, force: true });
fs.mkdirSync(newBaseDir, { recursive: true });
if (manifest.nodeTableKey) {
fs.copyFileSync(path.join(shardDir, manifest.nodeTableKey), path.join(newBaseDir, manifest.nodeTableKey));
}
if (manifest.componentKey) {
fs.copyFileSync(path.join(shardDir, manifest.componentKey), path.join(newBaseDir, manifest.componentKey));
}
for (const shard of manifest.shards || []) {
const basePath = path.join(shardDir, shard.key);
const compactPath = path.join(compactDir, shard.key);
const sourcePath = fs.existsSync(compactPath) ? compactPath : basePath;
fs.copyFileSync(sourcePath, path.join(newBaseDir, shard.key));
}
shardDir = newBaseDir;
storage = new FileShardStorage(shardDir);
snapshot = new ShardedSnapshot(manifest, storage, { cacheLimit: 64, recentLimit: 256 });
snapshot.initializeSync();
baseBytesNow = sumShardBytes(shardDir, manifest);
shardFilesNow = countShardFiles(manifest);
shardStatsNow = shardSizeStats(shardDir, manifest);
}
console.log(`${baseEdges} | ${baseBytesNow} | ${shardFilesNow} | ${shardStatsNow.p50} | ${shardStatsNow.p95} | ${shardStatsNow.p99} | ${deltaEdges} | ${avgUs} | ${deltaBytes} | ${compactMs} | ${compactUsPerEdge}`);
}
fs.rmSync(baseDir, { recursive: true, force: true });
function countShardFiles(manifest) {
let total = 0;
if (manifest.nodeTableKey) total += 1;
if (manifest.componentKey) total += 1;
total += (manifest.shards || []).length;
return total;
}
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import fs from 'node:fs';
import path from 'node:path';
import { ShardedSnapshot } from '../src/core/shards/ShardedSnapshot.js';
import { FileShardStorage } from '../src/core/shards/FileShardStorage.js';
function parseArgs(argv) {
const args = new Map();
for (let i = 2; i < argv.length; i++) {
const value = argv[i];
if (!value.startsWith('--')) continue;
const [key, inline] = value.slice(2).split('=');
if (inline !== undefined) {
args.set(key, inline);
continue;
}
const next = argv[i + 1];
if (next && !next.startsWith('--')) {
args.set(key, next);
i++;
} else {
args.set(key, true);
}
}
return args;
}
function makeRng(seed = 1337) {
let state = seed >>> 0;
return () => {
state = (state * 1664525 + 1013904223) >>> 0;
return state / 0xffffffff;
};
}
function nowNs() {
return process.hrtime.bigint();
}
function toMs(ns) {
return Number(ns) / 1e6;
}
class ValueProvider {
constructor(seed = 42) {
this.rng = makeRng(seed);
this._riskCache = new Map();
this._limitCache = new Map();
}
risk(userId, docId) {
const key = `${userId}:${docId}`;
if (this._riskCache.has(key)) return this._riskCache.get(key);
const h = (userId * 2654435761 + docId * 2246822519) >>> 0;
const value = (h % 1000) / 1000;
this._riskCache.set(key, value);
return value;
}
riskLimit(docId) {
if (this._limitCache.has(docId)) return this._limitCache.get(docId);
const h = (docId * 2654435761) >>> 0;
const value = 0.6 + ((h % 300) / 1000);
this._limitCache.set(docId, value);
return value;
}
}
function buildRelationMap(relationIdToName) {
const map = new Map();
for (let i = 0; i < relationIdToName.length; i++) {
map.set(relationIdToName[i], i);
}
return map;
}
function shardKey(snapshot, relationId, direction, nodeId) {
return snapshot.getShardKeyForNode(relationId, direction, nodeId);
}
function directCheck(snapshot, relationId, srcId, dstId, shardSet, missing) {
const key = shardKey(snapshot, relationId, 'out', srcId);
if (key) shardSet.add(key);
return snapshot.executeFindEdgeSync(srcId, relationId, dstId, missing) !== null;
}
function chainCheck(snapshot, relationIds, userId, docId, shardSet, missing, caches) {
if (snapshot.sameComponent(userId, docId) === false) return false;
const memberRel = relationIds.get('member');
const viewerRel = relationIds.get('viewer');
const memberDegree = snapshot.executeGetOutDegreeSync(userId, memberRel, missing);
const viewerDegree = snapshot.executeGetInDegreeSync(docId, viewerRel, missing);
if (memberDegree === null || viewerDegree === null) return null;
if (viewerDegree < memberDegree) {
const viewerKey = shardKey(snapshot, viewerRel, 'in', docId);
if (viewerKey) shardSet.add(viewerKey);
const cachedViewers = caches?.viewerByDoc?.get(docId);
const viewerEdges = cachedViewers || snapshot.executeGetInEdgesSync(docId, viewerRel, missing);
if (!viewerEdges) return null;
if (caches && !cachedViewers) caches.viewerByDoc.set(docId, viewerEdges);
for (const viewer of viewerEdges) {
const groupId = viewer.src;
const memberKey = shardKey(snapshot, memberRel, 'in', groupId);
if (memberKey) shardSet.add(memberKey);
const cachedMembers = caches?.memberByGroup?.get(groupId);
const memberEdges = cachedMembers || snapshot.executeGetInEdgesSync(groupId, memberRel, missing);
if (!memberEdges) return null;
if (caches && !cachedMembers) caches.memberByGroup.set(groupId, memberEdges);
for (const member of memberEdges) {
if (member.src === userId) return true;
}
}
return false;
}
const memberKey = shardKey(snapshot, memberRel, 'out', userId);
if (memberKey) shardSet.add(memberKey);
const cachedMembers = caches?.memberByUser?.get(userId);
const memberEdges = cachedMembers || snapshot.executeGetOutEdgesSync(userId, memberRel, missing);
if (!memberEdges) return null;
if (caches && !cachedMembers) caches.memberByUser.set(userId, memberEdges);
for (const member of memberEdges) {
const groupId = member.dst;
const viewerKey = shardKey(snapshot, viewerRel, 'out', groupId);
if (viewerKey) shardSet.add(viewerKey);
const cachedViewers = caches?.viewerByGroup?.get(groupId);
const viewerEdges = cachedViewers || snapshot.executeGetOutEdgesSync(groupId, viewerRel, missing);
if (!viewerEdges) return null;
if (caches && !cachedViewers) caches.viewerByGroup.set(groupId, viewerEdges);
for (const viewer of viewerEdges) {
if (viewer.dst === docId) return true;
}
}
return false;
}
function usersetComparatorCheck(snapshot, relationIds, valueProvider, docId, shardSet, missing, caches, limits, stats) {
const viewerRel = relationIds.get('viewer');
const memberRel = relationIds.get('member');
const riskRel = relationIds.get('risk');
if (snapshot.sameComponent(docId, docId) === false) return false;
const viewerKey = shardKey(snapshot, viewerRel, 'in', docId);
if (viewerKey) shardSet.add(viewerKey);
const cachedViewers = caches?.viewerByDoc?.get(docId);
const viewerEdges = cachedViewers || snapshot.executeGetInEdgesSync(docId, viewerRel, missing);
if (!viewerEdges) return null;
if (caches && !cachedViewers) caches.viewerByDoc.set(docId, viewerEdges);
let maxRisk = -Infinity;
let groupScanned = 0;
let userScanned = 0;
for (const viewer of viewerEdges) {
if (limits.maxGroups && groupScanned >= limits.maxGroups) {
if (stats) stats.cappedComparator++;
return false;
}
const groupId = viewer.src;
const memberKey = shardKey(snapshot, memberRel, 'in', groupId);
if (memberKey) shardSet.add(memberKey);
const cachedMembers = caches?.memberByGroup?.get(groupId);
const memberEdges = cachedMembers || snapshot.executeGetInEdgesSync(groupId, memberRel, missing);
if (!memberEdges) return null;
if (caches && !cachedMembers) caches.memberByGroup.set(groupId, memberEdges);
groupScanned++;
for (const member of memberEdges) {
if (limits.maxUsersTotal && userScanned >= limits.maxUsersTotal) {
if (stats) stats.cappedComparator++;
return false;
}
if (limits.maxUsersPerGroup && userScanned >= limits.maxUsersPerGroup * groupScanned) {
break;
}
const userId = member.src;
const riskShardKey = shardKey(snapshot, riskRel, 'out', userId);
if (riskShardKey) shardSet.add(riskShardKey);
const riskKey = `${userId}:${docId}`;
const cachedRisk = caches?.riskByUserDoc?.get(riskKey);
const hasRisk = cachedRisk !== undefined
? cachedRisk
: snapshot.executeFindEdgeSync(userId, riskRel, docId, missing);
if (!hasRisk && missing && missing.size > 0) return null;
if (hasRisk) {
if (caches && cachedRisk === undefined) caches.riskByUserDoc.set(riskKey, hasRisk);
const risk = valueProvider.risk(userId, docId);
if (risk > maxRisk) maxRisk = risk;
}
userScanned++;
}
}
if (maxRisk === -Infinity) return false;
const limit = valueProvider.riskLimit(docId);
return maxRisk <= limit;
}
const args = parseArgs(process.argv);
const manifestPath = args.get('manifest') || 'tmp/shards-complex-1m-16384/manifest.json';
const queries = Number(args.get('queries') || 1000);
const seed = Number(args.get('seed') || 1234);
const manifest = JSON.parse(fs.readFileSync(manifestPath, 'utf8'));
const storage = new FileShardStorage(path.dirname(manifestPath));
const snapshot = new ShardedSnapshot(manifest, storage, { cacheLimit: 32, recentLimit: 128 });
snapshot.initializeSync();
const relationIds = buildRelationMap(manifest.relationIdToName || []);
const valueProvider = new ValueProvider(seed);
const rng = makeRng(seed);
const cachePaths = args.get('cache-paths') !== 'false';
const maxGroups = Number(args.get('max-groups') || 0);
const maxUsersPerGroup = Number(args.get('max-users-per-group') || 0);
const maxUsersTotal = Number(args.get('max-users-total') || 0);
const limits = {
maxGroups: maxGroups > 0 ? maxGroups : null,
maxUsersPerGroup: maxUsersPerGroup > 0 ? maxUsersPerGroup : null,
maxUsersTotal: maxUsersTotal > 0 ? maxUsersTotal : null
};
const stats = { cappedComparator: 0 };
const caches = cachePaths ? {
memberByUser: new Map(),
viewerByGroup: new Map(),
viewerByDoc: new Map(),
memberByGroup: new Map(),
riskByUserDoc: new Map()
} : null;
const userCount = 100000;
const docCount = 500000;
const userPool = Number(args.get('user-pool') || 5000);
const docPool = Number(args.get('doc-pool') || 5000);
const userIds = [];
for (let i = 0; i < Math.min(userPool, userCount); i++) {
const id = snapshot.resolveNodeId(`user:${i}`);
if (id !== -1) userIds.push(id);
}
const docIds = [];
for (let i = 0; i < Math.min(docPool, docCount); i++) {
const id = snapshot.resolveNodeId(`doc:${i}`);
if (id !== -1) docIds.push(id);
}
const directRel = relationIds.get('owner');
const memberRel = relationIds.get('member');
const viewerRel = relationIds.get('viewer');
const riskRel = relationIds.get('risk');
function sampleDirectPair() {
for (let i = 0; i < 200; i++) {
const userId = userIds[Math.floor(rng() * userIds.length)];
const edges = snapshot.getOutEdgesSync(userId, directRel);
if (edges.length > 0) {
const edge = edges[0];
return { userId, docId: edge.dst };
}
}
return null;
}
function sampleChainPair() {
for (let i = 0; i < 200; i++) {
const userId = userIds[Math.floor(rng() * userIds.length)];
const members = snapshot.getOutEdgesSync(userId, memberRel);
if (!members.length) continue;
const groupId = members[0].dst;
const viewers = snapshot.getOutEdgesSync(groupId, viewerRel);
if (!viewers.length) continue;
return { userId, docId: viewers[0].dst };
}
return null;
}
function sampleComparatorDoc() {
for (let i = 0; i < 200; i++) {
const docId = docIds[Math.floor(rng() * docIds.length)];
const viewers = snapshot.getInEdgesSync(docId, viewerRel);
if (!viewers.length) continue;
const groupId = viewers[0].src;
const members = snapshot.getInEdgesSync(groupId, memberRel);
if (!members.length) continue;
const userId = members[0].src;
const riskEdge = snapshot.findEdgeSync(userId, riskRel, docId);
if (riskEdge) return { docId };
}
return null;
}
const directPairs = [];
const chainPairs = [];
const comparatorDocs = [];
while (directPairs.length < queries) {
const pair = sampleDirectPair();
if (!pair) break;
directPairs.push(pair);
}
while (chainPairs.length < queries) {
const pair = sampleChainPair();
if (!pair) break;
chainPairs.push(pair);
}
while (comparatorDocs.length < queries) {
const pair = sampleComparatorDoc();
if (!pair) break;
comparatorDocs.push(pair);
}
let directHits = 0;
let chainHits = 0;
let comparatorHits = 0;
let directShardCount = 0;
let chainShardCount = 0;
let comparatorShardCount = 0;
let directStart = nowNs();
for (let i = 0; i < directPairs.length; i++) {
let ok = null;
let replans = 0;
while (ok === null && replans < 4) {
const missing = new Set();
const shards = new Set();
ok = directCheck(snapshot, directRel, directPairs[i].userId, directPairs[i].docId, shards, missing);
if (missing.size > 0) {
snapshot.prefetchPlanSync(missing);
replans++;
ok = null;
continue;
}
if (ok) directHits++;
directShardCount += shards.size;
}
}
let directTime = nowNs() - directStart;
let chainStart = nowNs();
for (let i = 0; i < chainPairs.length; i++) {
let ok = null;
let replans = 0;
while (ok === null && replans < 4) {
const missing = new Set();
const shards = new Set();
ok = chainCheck(snapshot, relationIds, chainPairs[i].userId, chainPairs[i].docId, shards, missing, caches);
if (missing.size > 0) {
snapshot.prefetchPlanSync(missing);
replans++;
ok = null;
continue;
}
if (ok) chainHits++;
chainShardCount += shards.size;
}
}
let chainTime = nowNs() - chainStart;
let comparatorStart = nowNs();
for (let i = 0; i < comparatorDocs.length; i++) {
let ok = null;
let replans = 0;
while (ok === null && replans < 4) {
const missing = new Set();
const shards = new Set();
ok = usersetComparatorCheck(snapshot, relationIds, valueProvider, comparatorDocs[i].docId, shards, missing, caches, limits, stats);
if (missing.size > 0) {
snapshot.prefetchPlanSync(missing);
replans++;
ok = null;
continue;
}
if (ok) comparatorHits++;
comparatorShardCount += shards.size;
}
}
let comparatorTime = nowNs() - comparatorStart;
console.log('Sharded E2E benchmark');
console.log(` manifest: ${manifestPath}`);
console.log(` queries requested: ${queries}`);
console.log(` user pool: ${userPool}`);
console.log(` doc pool: ${docPool}`);
console.log(` cache paths: ${cachePaths}`);
console.log(` max groups: ${limits.maxGroups || 'none'}`);
console.log(` max users/group: ${limits.maxUsersPerGroup || 'none'}`);
console.log(` max users total: ${limits.maxUsersTotal || 'none'}`);
console.log('Results');
console.log(` direct samples: ${directPairs.length}`);
console.log(` direct avg: ${(toMs(directTime) / Math.max(1, directPairs.length) * 1000).toFixed(3)} µs`);
console.log(` direct hits: ${directHits}`);
console.log(` direct shards/query: ${(directShardCount / Math.max(1, directPairs.length)).toFixed(2)}`);
console.log(` chain samples: ${chainPairs.length}`);
console.log(` chain avg: ${(toMs(chainTime) / Math.max(1, chainPairs.length) * 1000).toFixed(3)} µs`);
console.log(` chain hits: ${chainHits}`);
console.log(` chain shards/query: ${(chainShardCount / Math.max(1, chainPairs.length)).toFixed(2)}`);
console.log(` comparator samples: ${comparatorDocs.length}`);
console.log(` comparator avg: ${(toMs(comparatorTime) / Math.max(1, comparatorDocs.length) * 1000).toFixed(3)} µs`);
console.log(` comparator hits: ${comparatorHits}`);
console.log(` comparator shards/query: ${(comparatorShardCount / Math.max(1, comparatorDocs.length)).toFixed(2)}`);
console.log(` comparator capped: ${stats.cappedComparator}`);
console.log('Cache stats');
console.log(snapshot.getStats());
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import fs from 'node:fs';
import path from 'node:path';
import { ShardedSnapshot } from '../src/core/shards/ShardedSnapshot.js';
import { FileShardStorage } from '../src/core/shards/FileShardStorage.js';
function parseArgs(argv) {
const args = new Map();
for (let i = 2; i < argv.length; i++) {
const value = argv[i];
if (!value.startsWith('--')) continue;
const [key, inline] = value.slice(2).split('=');
if (inline !== undefined) {
args.set(key, inline);
continue;
}
const next = argv[i + 1];
if (next && !next.startsWith('--')) {
args.set(key, next);
i++;
} else {
args.set(key, true);
}
}
return args;
}
function makeRng(seed = 1337) {
let state = seed >>> 0;
return () => {
state = (state * 1664525 + 1013904223) >>> 0;
return state / 0xffffffff;
};
}
function buildRelationMap(relationIdToName) {
const map = new Map();
for (let i = 0; i < relationIdToName.length; i++) {
map.set(relationIdToName[i], i);
}
return map;
}
const args = parseArgs(process.argv);
const manifestPath = args.get('manifest') || 'tmp/shards-complex-1m-16384/manifest.json';
const queries = Number(args.get('queries') || 200);
const seed = Number(args.get('seed') || 1234);
const userPool = Number(args.get('user-pool') || 5000);
const docPool = Number(args.get('doc-pool') || 5000);
const manifest = JSON.parse(fs.readFileSync(manifestPath, 'utf8'));
const storage = new FileShardStorage(path.dirname(manifestPath));
const snapshot = new ShardedSnapshot(manifest, storage, { cacheLimit: 32, recentLimit: 128 });
snapshot.initializeSync();
const relationIds = buildRelationMap(manifest.relationIdToName || []);
const rng = makeRng(seed);
const userIds = [];
for (let i = 0; i < userPool; i++) {
const id = snapshot.resolveNodeId(`user:${i}`);
if (id !== -1) userIds.push(id);
}
const docIds = [];
for (let i = 0; i < docPool; i++) {
const id = snapshot.resolveNodeId(`doc:${i}`);
if (id !== -1) docIds.push(id);
}
const memberRel = relationIds.get('member');
const viewerRel = relationIds.get('viewer');
const chainPairs = [];
for (let i = 0; i < queries; i++) {
const userId = userIds[Math.floor(rng() * userIds.length)];
const docId = docIds[Math.floor(rng() * docIds.length)];
chainPairs.push({ userId, docId });
}
console.log('Sharded plan/execute bench');
console.log(` manifest: ${manifestPath}`);
console.log(` queries: ${queries}`);
const plan = new Set();
for (const pair of chainPairs) {
snapshot.planOutEdges(memberRel, pair.userId, plan);
snapshot.planOutEdges(viewerRel, pair.userId, plan);
}
const planStart = process.hrtime.bigint();
snapshot.prefetchPlan(plan, (err) => {
if (err) {
console.error(err);
process.exit(1);
}
const planTime = Number(process.hrtime.bigint() - planStart) / 1e6;
console.log(` prefetch time: ${planTime.toFixed(2)} ms`);
console.log(` plan size: ${plan.size}`);
console.log('Cache stats');
console.log(snapshot.getStats());
});
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import fs from 'node:fs';
import path from 'node:path';
import { performance } from 'node:perf_hooks';
import { CondensedGraph } from '../src/core/CondensedGraph.js';
import { ShardedSnapshotBuilder } from '../src/core/shards/ShardedSnapshotBuilder.js';
import { ShardedSnapshot } from '../src/core/shards/ShardedSnapshot.js';
import { FileShardStorage } from '../src/core/shards/FileShardStorage.js';
function parseArgs(argv) {
const args = new Map();
for (let i = 2; i < argv.length; i++) {
const value = argv[i];
if (!value.startsWith('--')) continue;
const [key, inline] = value.slice(2).split('=');
if (inline !== undefined) {
args.set(key, inline);
continue;
}
const next = argv[i + 1];
if (next && !next.startsWith('--')) {
args.set(key, next);
i++;
} else {
args.set(key, true);
}
}
return args;
}
const args = parseArgs(process.argv);
const edges = Number(args.get('edges') || 50000);
const users = Number(args.get('users') || 5000);
const docs = Number(args.get('docs') || 20000);
const bucketSize = Number(args.get('bucket') || 4096);
const samples = Number(args.get('samples') || 10000);
const output = args.get('output') || 'tmp/shards-bench';
console.log('Sharded snapshot bench');
console.log(` edges: ${edges}`);
console.log(` users: ${users}`);
console.log(` docs: ${docs}`);
console.log(` bucket: ${bucketSize}`);
console.log(` samples: ${samples}`);
const graph = new CondensedGraph();
const relations = ['owner', 'editor', 'viewer'];
const edgePairs = [];
const buildStart = performance.now();
for (let i = 0; i < edges; i++) {
const userIndex = i % users;
const docIndex = i % docs;
const relId = i % 3;
const srcId = graph._ensureNode(`user:${userIndex}`);
const dstId = graph._ensureNode(`doc:${docIndex}`);
graph.addEdge(srcId, relations[relId], dstId);
edgePairs.push({ srcId, dstId, relId });
}
const buildTime = performance.now() - buildStart;
graph.finalizePerfectHash();
graph.finalizeWaveletAdjacency({ dropAdjacencyList: true });
const snapshot = graph.toBinary();
const snapshotPath = path.join(output, 'snapshot.bin');
fs.mkdirSync(output, { recursive: true });
fs.writeFileSync(snapshotPath, new Uint8Array(snapshot));
const shardStart = performance.now();
const builder = new ShardedSnapshotBuilder({ bucketSize, includeDirections: ['out'] });
const manifest = builder.build(graph, output);
const shardTime = performance.now() - shardStart;
const storage = new FileShardStorage(output);
const sharded = new ShardedSnapshot(manifest, storage, { cacheLimit: 8 });
sharded.initializeSync();
const srcIds = Array.from({ length: users }, (_, i) => i);
const dstIds = Array.from({ length: docs }, (_, i) => i + users);
const findStart = performance.now();
let hits = 0;
for (let i = 0; i < samples; i++) {
const pair = edgePairs[i % edgePairs.length];
const srcId = pair.srcId;
const dstId = pair.dstId;
const relId = pair.relId;
const edge = sharded.findEdgeSync(srcId, relId, dstId);
if (edge) hits++;
}
const findTime = performance.now() - findStart;
const outStart = performance.now();
let outEdges = 0;
for (let i = 0; i < samples; i++) {
const srcId = srcIds[i % srcIds.length];
const relId = i % 3;
const edgesOut = sharded.getOutEdgesSync(srcId, relId);
outEdges += edgesOut.length;
}
const outTime = performance.now() - outStart;
console.log('\nResults');
console.log(` build time: ${buildTime.toFixed(2)} ms`);
console.log(` shard time: ${shardTime.toFixed(2)} ms`);
console.log(` shards: ${manifest.shards.length}`);
console.log(` snapshot size: ${(snapshot.byteLength / 1024 / 1024).toFixed(2)} MB`);
console.log(` findEdge avg: ${(findTime / samples * 1000).toFixed(3)} µs`);
console.log(` getOutEdges avg: ${(outTime / samples * 1000).toFixed(3)} µs`);
console.log(` hits: ${hits}`);
console.log(` outEdges: ${outEdges}`);
@@ -0,0 +1,166 @@
import fs from 'node:fs';
import path from 'node:path';
import { CondensedGraph } from '../src/core/CondensedGraph.js';
import { ShardedSnapshotBuilder } from '../src/core/shards/ShardedSnapshotBuilder.js';
function parseArgs(argv) {
const args = new Map();
for (let i = 2; i < argv.length; i++) {
const value = argv[i];
if (!value.startsWith('--')) continue;
const [key, inline] = value.slice(2).split('=');
if (inline !== undefined) {
args.set(key, inline);
continue;
}
const next = argv[i + 1];
if (next && !next.startsWith('--')) {
args.set(key, next);
i++;
} else {
args.set(key, true);
}
}
return args;
}
function makeRng(seed = 1337) {
let state = seed >>> 0;
return () => {
state = (state * 1664525 + 1013904223) >>> 0;
return state / 0xffffffff;
};
}
function makeZipfSampler(count, skew, seed = 1337) {
const weights = new Float64Array(count);
let sum = 0;
for (let i = 1; i <= count; i++) {
const w = 1 / Math.pow(i, skew);
weights[i - 1] = w;
sum += w;
}
const cdf = new Float64Array(count);
let acc = 0;
for (let i = 0; i < count; i++) {
acc += weights[i] / sum;
cdf[i] = acc;
}
let state = seed >>> 0;
const rand = () => {
state = (state * 1664525 + 1013904223) >>> 0;
return state / 0xffffffff;
};
return () => {
const r = rand();
let lo = 0;
let hi = cdf.length - 1;
while (lo < hi) {
const mid = (lo + hi) >> 1;
if (r <= cdf[mid]) {
hi = mid;
} else {
lo = mid + 1;
}
}
return lo;
};
}
const args = parseArgs(process.argv);
const edges = Number(args.get('edges') || 1000000);
const users = Number(args.get('users') || 100000);
const groups = Number(args.get('groups') || 5000);
const docs = Number(args.get('docs') || 500000);
const bucketSize = Number(args.get('bucket') || 4096);
const output = args.get('output') || 'tmp/shards-complex-1m';
const userSkew = Number(args.get('user-skew') || 1.2);
const groupSkew = Number(args.get('group-skew') || 1.1);
const docSkew = Number(args.get('doc-skew') || 1.15);
const directions = args.get('directions')
? String(args.get('directions')).split(',')
: ['out', 'in'];
const shardMode = args.get('shard-mode') || 'range';
const componentRelations = args.get('component-relations')
? String(args.get('component-relations')).split(',')
: null;
const rng = makeRng(42);
console.log('Build complex sharded snapshot');
console.log(` edges: ${edges}`);
console.log(` users: ${users}`);
console.log(` groups: ${groups}`);
console.log(` docs: ${docs}`);
console.log(` bucket: ${bucketSize}`);
console.log(` output: ${output}`);
console.log(` shard mode: ${shardMode}`);
if (componentRelations) {
console.log(` component relations: ${componentRelations.join(',')}`);
}
console.log(` user-skew: ${userSkew}`);
console.log(` group-skew: ${groupSkew}`);
console.log(` doc-skew: ${docSkew}`);
const graph = new CondensedGraph();
const memberEdges = Math.floor(edges * 0.3);
const viewerEdges = Math.floor(edges * 0.3);
const ownerEdges = Math.floor(edges * 0.1);
const riskEdges = Math.floor(edges * 0.2);
let riskLimitEdges = edges - memberEdges - viewerEdges - ownerEdges - riskEdges;
if (riskLimitEdges < 0) riskLimitEdges = 0;
const userSampler = makeZipfSampler(users, userSkew, 7);
const groupSampler = makeZipfSampler(groups, groupSkew, 11);
const docSampler = makeZipfSampler(docs, docSkew, 13);
for (let i = 0; i < memberEdges; i++) {
const userId = userSampler();
const groupId = groupSampler();
graph.addEdge(`user:${userId}`, 'member', `group:${groupId}`);
}
for (let i = 0; i < viewerEdges; i++) {
const groupId = groupSampler();
const docId = docSampler();
graph.addEdge(`group:${groupId}`, 'viewer', `doc:${docId}`);
}
for (let i = 0; i < ownerEdges; i++) {
const userId = userSampler();
const docId = docSampler();
graph.addEdge(`user:${userId}`, 'owner', `doc:${docId}`);
}
for (let i = 0; i < riskEdges; i++) {
const userId = userSampler();
const docId = docSampler();
const value = Math.min(1, Math.max(0, rng()));
graph.addEdge(`user:${userId}`, 'risk', `doc:${docId}`, { value, possibility: 1.0, reliability: 1.0 });
}
for (let i = 0; i < riskLimitEdges; i++) {
const docId = docSampler();
const value = 0.5;
graph.addEdge(`doc:${docId}`, 'risk_limit', `doc:${docId}`, { value, possibility: 1.0, reliability: 1.0 });
}
graph.finalizePerfectHash();
graph.finalizeWaveletAdjacency({ dropAdjacencyList: true });
fs.mkdirSync(output, { recursive: true });
const snapshot = graph.toBinary();
const snapshotPath = path.join(output, 'snapshot.bin');
fs.writeFileSync(snapshotPath, new Uint8Array(snapshot));
console.log(` snapshot MB: ${(snapshot.byteLength / 1024 / 1024).toFixed(2)}`);
const builder = new ShardedSnapshotBuilder({
bucketSize,
includeDirections: directions,
shardMode,
componentRelations
});
const manifest = builder.build(graph, output);
console.log(` shards: ${manifest.shards.length}`);
console.log(` manifest: ${path.join(output, 'manifest.json')}`);
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import fs from 'node:fs';
import { CondensedGraph } from '../src/core/CondensedGraph.js';
import { ShardedSnapshotBuilder } from '../src/core/shards/ShardedSnapshotBuilder.js';
function parseArgs(argv) {
const args = new Map();
for (let i = 2; i < argv.length; i++) {
const value = argv[i];
if (!value.startsWith('--')) continue;
const [key, inline] = value.slice(2).split('=');
if (inline !== undefined) {
args.set(key, inline);
continue;
}
const next = argv[i + 1];
if (next && !next.startsWith('--')) {
args.set(key, next);
i++;
} else {
args.set(key, true);
}
}
return args;
}
const args = parseArgs(process.argv);
const input = args.get('input');
const output = args.get('output') || 'tmp/shards';
const bucketSize = Number(args.get('bucket') || 4096);
const directions = args.get('directions')
? String(args.get('directions')).split(',')
: ['out', 'in'];
if (!input) {
console.error('Usage: node new-eval/sharded-snapshot-build.js --input <condensed.bin> --output <dir> [--bucket 4096] [--directions out,in]');
process.exit(1);
}
const buffer = fs.readFileSync(input);
const graph = CondensedGraph.fromBinary(buffer.buffer.slice(buffer.byteOffset, buffer.byteOffset + buffer.byteLength));
const builder = new ShardedSnapshotBuilder({ bucketSize, includeDirections: directions });
const manifest = builder.build(graph, output);
console.log(`Shards written to ${output}`);
console.log(`Manifest shards: ${manifest.shards.length}`);
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import fs from 'node:fs';
import { ShardedSnapshot } from '../src/core/shards/ShardedSnapshot.js';
import path from 'node:path';
import { FileShardStorage } from '../src/core/shards/FileShardStorage.js';
const manifestPath = process.argv[2];
if (!manifestPath) {
console.error('Usage: node new-eval/sharded-snapshot-query.js <manifest.json>');
process.exit(1);
}
const manifest = JSON.parse(fs.readFileSync(manifestPath, 'utf8'));
const storage = new FileShardStorage(path.dirname(manifestPath));
const snapshot = new ShardedSnapshot(manifest, storage, { cacheLimit: 8 });
snapshot.initializeSync();
async function run() {
const relationId = 0;
const srcId = 0;
const dstId = 0;
const edge = snapshot.findEdgeSync(srcId, relationId, dstId);
console.log({ edge });
}
run().catch((err) => {
console.error(err);
process.exit(1);
});
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@@ -0,0 +1,435 @@
/**
* Test PLTC Correctness with Zanzibar Rules
*
* Verifies that PLTC (with SCC condensation) correctly answers queries
* when complex Zanzibar rules (ChainRule, ParentRule, etc.) are used.
*
* Key test: PLTC only sees "agnostic" base edges, not logical edges.
* We verify that PLTC's transitive closure on base edges matches
* the authorization logic results.
*/
import { Arbiter } from '../src/index.js';
/**
* Test Case 1: ChainRule with cycles
*/
function testCase1_ChainRuleWithCycles() {
console.log('\n' + '='.repeat(80));
console.log('Test Case 1: ChainRule with Friend Cycles');
console.log('='.repeat(80));
const arbiter = new Arbiter({
fastConstructionMode: true,
enableInference: false
});
// Create users with friend relationships (bidirectional = cycles)
arbiter.addNode('user:alice', 'user');
arbiter.addNode('user:bob', 'user');
arbiter.addNode('user:charlie', 'user');
arbiter.addNode('file:doc1', 'file');
arbiter.addNode('file:doc2', 'file');
// Friend relationships (bidirectional = creates cycles)
arbiter.addRelation('user:alice', 'friend', 'user:bob');
arbiter.addRelation('user:bob', 'friend', 'user:alice');
arbiter.addRelation('user:bob', 'friend', 'user:charlie');
arbiter.addRelation('user:charlie', 'friend', 'user:bob');
// Ownership
arbiter.addRelation('user:bob', 'owns', 'file:doc1');
arbiter.addRelation('user:charlie', 'owns', 'file:doc2');
// Configure rules
arbiter.setRelationConfig('friend', { type: 'direct' });
arbiter.setRelationConfig('owns', { type: 'direct' });
// Chain rule: friend_file = friend -> owns
arbiter.setRelationConfig('friend_file', {
type: 'chain',
steps: [
{ relation: 'friend', direction: 'out' },
{ relation: 'owns', direction: 'out' }
]
});
console.log('Graph structure:');
console.log(' alice <-> bob <-> charlie (friend cycles)');
console.log(' bob -> doc1 (owns)');
console.log(' charlie -> doc2 (owns)');
console.log(' Chain rule: friend_file = friend -> owns');
// Initialize PLTC
arbiter.graphManager.initializeReachabilityChecker();
const stats = arbiter.getReachabilityStats();
console.log(`\nPLTC Stats: ${stats.pltcInitialized ? '✓' : '✗'}`);
console.log(` SCCs: ${stats.sccCount || 'N/A'}`);
// Test queries
const testQueries = [
{ source: 'user:alice', relation: 'friend_file', target: 'file:doc1', expected: true, desc: 'alice -> friend(bob) -> owns(doc1)' },
{ source: 'user:alice', relation: 'friend_file', target: 'file:doc2', expected: true, desc: 'alice -> friend(bob) -> friend(charlie) -> owns(doc2)' },
{ source: 'user:bob', relation: 'friend_file', target: 'file:doc1', expected: true, desc: 'bob -> owns(doc1) (direct)' },
{ source: 'user:bob', relation: 'friend_file', target: 'file:doc2', expected: true, desc: 'bob -> friend(charlie) -> owns(doc2)' },
{ source: 'user:charlie', relation: 'friend_file', target: 'file:doc1', expected: true, desc: 'charlie -> friend(bob) -> owns(doc1)' },
{ source: 'user:charlie', relation: 'friend_file', target: 'file:doc2', expected: true, desc: 'charlie -> owns(doc2) (direct)' },
];
console.log('\nTesting ChainRule queries:');
let correct = 0;
let incorrect = 0;
for (const query of testQueries) {
// Get ground truth using authorization logic (bypassPLTC to get true result)
const groundTruth = arbiter.check(query.source, query.relation, query.target, {
bypassPLTC: true,
noInfer: true
});
const groundTruthBool = groundTruth && groundTruth.possibility > 0;
// Get PLTC result (via isReachable - PLTC is used internally)
const pltcReachable = arbiter.isReachable(query.source, query.target);
// Get authorization result (uses PLTC internally for fast-fail)
const authResult = arbiter.check(query.source, query.relation, query.target, {
noInfer: true
});
const authResultBool = authResult && authResult.possibility > 0;
// For chain rules, PLTC should detect reachability, but authorization logic determines access
// We expect: groundTruth === authResult (authorization should be correct)
// And: pltcReachable should be true if groundTruth is true (PLTC should not have false negatives)
const pltcCorrect = !groundTruthBool || pltcReachable; // PLTC should not have false negatives
const authCorrect = groundTruthBool === authResultBool;
if (pltcCorrect && authCorrect) {
correct++;
console.log(`${query.desc}`);
console.log(` Ground truth: ${groundTruthBool}, PLTC reachable: ${pltcReachable}, Auth: ${authResultBool}`);
} else {
incorrect++;
console.log(`${query.desc}`);
console.log(` Ground truth: ${groundTruthBool}, PLTC reachable: ${pltcReachable}, Auth: ${authResultBool}`);
if (!pltcCorrect) {
console.log(` ERROR: PLTC false negative!`);
}
if (!authCorrect) {
console.log(` ERROR: Authorization logic incorrect!`);
}
}
}
console.log(`\nResults: ${correct} correct, ${incorrect} incorrect`);
return incorrect === 0;
}
/**
* Test Case 2: Multi-hop ChainRule
*/
function testCase2_MultiHopChain() {
console.log('\n' + '='.repeat(80));
console.log('Test Case 2: Multi-hop ChainRule');
console.log('='.repeat(80));
const arbiter = new Arbiter({
fastConstructionMode: true,
enableInference: false
});
// Create hierarchy: user -> team -> project -> resource
arbiter.addNode('user:alice', 'user');
arbiter.addNode('team:eng', 'team');
arbiter.addNode('project:web', 'project');
arbiter.addNode('resource:server1', 'resource');
// Relations
arbiter.addRelation('user:alice', 'member_of', 'team:eng');
arbiter.addRelation('team:eng', 'owns', 'project:web');
arbiter.addRelation('project:web', 'has_access', 'resource:server1');
// Configure rules
arbiter.setRelationConfig('member_of', { type: 'direct' });
arbiter.setRelationConfig('owns', { type: 'direct' });
arbiter.setRelationConfig('has_access', { type: 'direct' });
// Multi-hop chain: user_resource = member_of -> owns -> has_access
arbiter.setRelationConfig('user_resource', {
type: 'chain',
steps: [
{ relation: 'member_of', direction: 'out' },
{ relation: 'owns', direction: 'out' },
{ relation: 'has_access', direction: 'out' }
]
});
console.log('Graph structure:');
console.log(' alice -> eng -> web -> server1');
console.log(' Chain rule: user_resource = member_of -> owns -> has_access');
// Initialize PLTC
arbiter.graphManager.initializeReachabilityChecker();
// Test query
const groundTruth = arbiter.check('user:alice', 'user_resource', 'resource:server1', {
bypassPLTC: true,
noInfer: true
});
const groundTruthBool = groundTruth && groundTruth.possibility > 0;
const pltcReachable = arbiter.isReachable('user:alice', 'resource:server1');
const authResult = arbiter.check('user:alice', 'user_resource', 'resource:server1', {
noInfer: true
});
const authResultBool = authResult && authResult.possibility > 0;
console.log('\nTesting multi-hop chain:');
console.log(` Ground truth: ${groundTruthBool}`);
console.log(` PLTC reachable: ${pltcReachable}`);
console.log(` Auth result: ${authResultBool}`);
const pltcCorrect = !groundTruthBool || pltcReachable;
const authCorrect = groundTruthBool === authResultBool;
if (pltcCorrect && authCorrect) {
console.log(' ✓ PASS');
return true;
} else {
console.log(' ❌ FAIL');
if (!pltcCorrect) console.log(' PLTC false negative!');
if (!authCorrect) console.log(' Authorization incorrect!');
return false;
}
}
/**
* Test Case 3: ChainRule with cycles and multiple paths
*/
function testCase3_ChainRuleMultiplePaths() {
console.log('\n' + '='.repeat(80));
console.log('Test Case 3: ChainRule with Cycles and Multiple Paths');
console.log('='.repeat(80));
const arbiter = new Arbiter({
fastConstructionMode: true,
enableInference: false
});
// Create users in friend cycles
arbiter.addNode('user:alice', 'user');
arbiter.addNode('user:bob', 'user');
arbiter.addNode('user:charlie', 'user');
arbiter.addNode('user:dave', 'user');
arbiter.addNode('file:doc1', 'file');
arbiter.addNode('file:doc2', 'file');
// Friend network (creates cycles)
arbiter.addRelation('user:alice', 'friend', 'user:bob');
arbiter.addRelation('user:bob', 'friend', 'user:alice');
arbiter.addRelation('user:bob', 'friend', 'user:charlie');
arbiter.addRelation('user:charlie', 'friend', 'user:bob');
arbiter.addRelation('user:charlie', 'friend', 'user:dave');
arbiter.addRelation('user:dave', 'friend', 'user:charlie');
// Ownership
arbiter.addRelation('user:bob', 'owns', 'file:doc1');
arbiter.addRelation('user:dave', 'owns', 'file:doc2');
// Configure rules
arbiter.setRelationConfig('friend', { type: 'direct' });
arbiter.setRelationConfig('owns', { type: 'direct' });
// Chain rule: friend_file = friend -> owns
arbiter.setRelationConfig('friend_file', {
type: 'chain',
steps: [
{ relation: 'friend', direction: 'out' },
{ relation: 'owns', direction: 'out' }
]
});
console.log('Graph structure:');
console.log(' alice <-> bob <-> charlie <-> dave (friend cycles)');
console.log(' bob -> doc1, dave -> doc2 (ownership)');
// Initialize PLTC
arbiter.graphManager.initializeReachabilityChecker();
const stats = arbiter.getReachabilityStats();
console.log(`\nPLTC Stats: SCCs: ${stats.sccCount || 'N/A'}`);
// Test queries with multiple possible paths
const testQueries = [
{ source: 'user:alice', target: 'file:doc1', expected: true, desc: 'alice -> bob -> doc1' },
{ source: 'user:alice', target: 'file:doc2', expected: true, desc: 'alice -> bob -> charlie -> dave -> doc2' },
{ source: 'user:charlie', target: 'file:doc1', expected: true, desc: 'charlie -> bob -> doc1' },
{ source: 'user:charlie', target: 'file:doc2', expected: true, desc: 'charlie -> dave -> doc2' },
];
console.log('\nTesting queries with multiple paths:');
let correct = 0;
let incorrect = 0;
for (const query of testQueries) {
const groundTruth = arbiter.check(query.source, 'friend_file', query.target, {
bypassPLTC: true,
noInfer: true
});
const groundTruthBool = groundTruth && groundTruth.possibility > 0;
const pltcReachable = arbiter.isReachable(query.source, query.target);
const authResult = arbiter.check(query.source, 'friend_file', query.target, {
noInfer: true
});
const authResultBool = authResult && authResult.possibility > 0;
const pltcCorrect = !groundTruthBool || pltcReachable;
const authCorrect = groundTruthBool === authResultBool;
if (pltcCorrect && authCorrect) {
correct++;
console.log(`${query.desc}: PLTC=${pltcReachable}, Auth=${authResultBool}`);
} else {
incorrect++;
console.log(`${query.desc}: PLTC=${pltcReachable}, Auth=${authResultBool}, Truth=${groundTruthBool}`);
}
}
console.log(`\nResults: ${correct} correct, ${incorrect} incorrect`);
return incorrect === 0;
}
/**
* Test Case 4: ParentRule (hierarchical)
*
* ParentRule semantics:
* - Hierarchical relation: 'contains' (parent contains child)
* - Access relation: 'can_access' (user can access object)
* - Rule: user has access to object if user has access to object's parent
*
* Query: check(alice, can_access, readme)
* Logic: find readme's parent (docs), check check(alice, can_access, docs)
*/
function testCase4_ParentRule() {
console.log('\n' + '='.repeat(80));
console.log('Test Case 4: ParentRule (Hierarchical)');
console.log('='.repeat(80));
const arbiter = new Arbiter({
fastConstructionMode: true,
enableInference: false
});
// Create folder hierarchy
arbiter.addNode('user:alice', 'user');
arbiter.addNode('folder:root', 'folder');
arbiter.addNode('folder:docs', 'folder');
arbiter.addNode('folder:projects', 'folder');
arbiter.addNode('file:readme', 'file');
// Hierarchical relationships (containment): parent contains child
arbiter.addRelation('folder:root', 'contains', 'folder:docs');
arbiter.addRelation('folder:root', 'contains', 'folder:projects');
arbiter.addRelation('folder:docs', 'contains', 'file:readme');
// Access relationships: user can access folder
arbiter.addRelation('user:alice', 'can_access', 'folder:root');
arbiter.addRelation('user:alice', 'can_access', 'folder:docs');
// Note: alice has access to root, so by ParentRule semantics, alice has access to everything under root
// This includes projects (since projects's parent is root)
// Configure rules
// 'can_access' uses ParentRule, which looks for 'contains' as the parent relation
arbiter.setRelationConfig('can_access', {
type: 'parent',
parentRelation: 'contains' // The hierarchical relation name
});
console.log('Graph structure:');
console.log(' Hierarchical: root contains docs, docs contains readme');
console.log(' Access: alice -> can_access -> root, alice -> can_access -> docs');
console.log(' Parent rule: user has access to object if user has access to object\'s parent');
// Initialize PLTC
arbiter.graphManager.initializeReachabilityChecker();
// Test queries
// Query: check(alice, can_access, readme)
// Logic: readme's parent is docs (via contains), check check(alice, can_access, docs)
// Since alice -> can_access -> docs exists, should return true
const testQueries = [
{ source: 'user:alice', target: 'file:readme', expected: true, desc: 'alice -> readme (via docs parent)' },
{ source: 'user:alice', target: 'folder:docs', expected: true, desc: 'alice -> docs (direct access)' },
{ source: 'user:alice', target: 'folder:projects', expected: true, desc: 'alice -> projects (via root parent - ParentRule grants access)' },
];
console.log('\nTesting ParentRule queries:');
let correct = 0;
let incorrect = 0;
for (const query of testQueries) {
const groundTruth = arbiter.check(query.source, 'can_access', query.target, {
bypassPLTC: true,
noInfer: true
});
const groundTruthBool = groundTruth && groundTruth.possibility > 0;
const pltcReachable = arbiter.isReachable(query.source, query.target);
const authResult = arbiter.check(query.source, 'can_access', query.target, {
noInfer: true
});
const authResultBool = authResult && authResult.possibility > 0;
const pltcCorrect = !groundTruthBool || pltcReachable;
const authCorrect = groundTruthBool === authResultBool;
if (pltcCorrect && authCorrect && groundTruthBool === query.expected) {
correct++;
console.log(`${query.desc}: ${authResultBool}`);
} else {
incorrect++;
console.log(`${query.desc}: PLTC=${pltcReachable}, Auth=${authResultBool}, Truth=${groundTruthBool}, Expected=${query.expected}`);
}
}
console.log(`\nResults: ${correct} correct, ${incorrect} incorrect`);
return incorrect === 0;
}
// Run all tests
console.log('='.repeat(80));
console.log('PLTC with Zanzibar Rules Correctness Tests');
console.log('='.repeat(80));
console.log('\nTesting that PLTC (with SCC) correctly answers queries');
console.log('when complex Zanzibar rules are used (ChainRule, ParentRule, etc.)');
console.log('\nKey verification: PLTC only sees base edges, not logical edges.');
console.log('We verify that PLTC\'s transitive closure matches authorization logic.');
const results = {
test1: testCase1_ChainRuleWithCycles(),
test2: testCase2_MultiHopChain(),
test3: testCase3_ChainRuleMultiplePaths(),
test4: testCase4_ParentRule()
};
console.log('\n' + '='.repeat(80));
console.log('Summary');
console.log('='.repeat(80));
console.log(`Test 1 (ChainRule with cycles): ${results.test1 ? '✅ PASS' : '❌ FAIL'}`);
console.log(`Test 2 (Multi-hop chain): ${results.test2 ? '✅ PASS' : '❌ FAIL'}`);
console.log(`Test 3 (Multiple paths): ${results.test3 ? '✅ PASS' : '❌ FAIL'}`);
console.log(`Test 4 (ParentRule): ${results.test4 ? '✅ PASS' : '❌ FAIL'}`);
const allPassed = Object.values(results).every(r => r);
if (allPassed) {
console.log('\n✅ ALL TESTS PASSED: PLTC with SCC correctly handles Zanzibar rules!');
console.log('\nConclusion:');
console.log(' - PLTC only sees base edges (agnostic relations)');
console.log(' - SCC condensation preserves reachability correctly');
console.log(' - PLTC\'s transitive closure matches authorization logic');
console.log(' - Complex rules (ChainRule, ParentRule) work correctly with SCC');
} else {
console.log('\n❌ SOME TESTS FAILED: PLTC with SCC has issues with Zanzibar rules!');
process.exit(1);
}
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