rigor: complex-graph crucible — community/scale-free/hierarchy/dense generators
The engine's campaigns ran on toy star graphs. complex-graphs.js adds four production-shaped generators: - community: stochastic block model with nested groups (groups of groups), tuple-to-userset access, defeasible blocked overlay, cross-community delegation chains - scale-free: preferential attachment, power-law degree distribution, hub-heavy adjacency - hierarchy: org-tree (org -> dept -> team -> member) with 3-hop ownership chains - dense-adversarial: maximal overlap on small graphs — reciprocal edges, self-loops, multi-rule policies (cycle + cache-collision pressure) complex-graph-crucible.test.js runs four crucibles over them: structural shape assertions across seeds, exhaustive normal/binary/snapshot parity with bounds on every query, a 300-effort rigor fuzz campaign over (generator, seed, user, relation, object) triples enforcing allow/deny + possibility agreement across all three evaluation modes, and a reachability guard proving complex policies (TTU, chain) are actually exercised rather than denied trivially. Generator fixes along the way: sub-groups own their own resources so the one-level TTU is structurally reachable, and departments own resources so the 3-hop chain terminates. Full rigor 234/234.
This commit is contained in:
@@ -0,0 +1,381 @@
|
||||
/**
|
||||
* tests/rigor/complex-graphs.js — realistic complex graph generators for
|
||||
* the rigor crucibles.
|
||||
*
|
||||
* The engine's crucibles must survive graphs shaped like production
|
||||
* communities, not toy star graphs. Each generator returns a fully-built
|
||||
* Arbiter with a policy mix (direct + tuple-to-userset + chain +
|
||||
* defeasible exclusion + comparator), so a single generated graph
|
||||
* exercises every evaluation path at once.
|
||||
*
|
||||
* makeCommunityGraph(rng) — stochastic block model: dense intra-group
|
||||
* edges, sparse inter-group links, nested
|
||||
* group membership (groups of groups)
|
||||
* makeScaleFreeGraph(rng) — preferential attachment (power-law degree
|
||||
* distribution; hubs dominate)
|
||||
* makeHierarchyGraph(rng) — org-tree: root team → subgroups → members;
|
||||
* ownership chains of depth 1-4
|
||||
* makeDenseAdversarial(rng) — small graphs with maximal overlap:
|
||||
* many relations between the same pairs,
|
||||
* reciprocal edges, self-loops, cycles
|
||||
*
|
||||
* Every generator seeds its own RNG (seeded from rigor's gen or a fixed
|
||||
* seed), so the same call reproduces the same graph.
|
||||
*/
|
||||
import { Arbiter } from '../../src/index.js';
|
||||
|
||||
function mulberry32(seed) {
|
||||
let a = seed >>> 0;
|
||||
return function () {
|
||||
a |= 0;
|
||||
a = (a + 0x6d2b79f5) | 0;
|
||||
let t = Math.imul(a ^ (a >>> 15), 1 | a);
|
||||
t = (t + Math.imul(t ^ (t >>> 7), 61 | t)) ^ t;
|
||||
return ((t ^ (t >>> 14)) >>> 0) / 4294967296;
|
||||
};
|
||||
}
|
||||
|
||||
function pick(rng, arr) {
|
||||
return arr[Math.floor(rng() * arr.length)];
|
||||
}
|
||||
|
||||
function randPossibility(rng, min = 0.3) {
|
||||
return min + rng() * (1 - min);
|
||||
}
|
||||
|
||||
/**
|
||||
* Stochastic block model with nested groups.
|
||||
*
|
||||
* Communities are groups (and groups of groups). Members belong to
|
||||
* exactly one top-level community and one sub-community. Every community
|
||||
* owns resources; membership grants access through a tuple-to-userset
|
||||
* rule. A defeasible exclusion rule covers the "blocked" overlay, and a
|
||||
* chain rule covers cross-community delegation. This one graph exercises
|
||||
* direct, TTU, chain, exclusion, and (via values) comparator paths.
|
||||
*/
|
||||
export function makeCommunityGraph(seed = 42, opts = {}) {
|
||||
const rng = mulberry32(seed);
|
||||
const communities = opts.communities ?? 5;
|
||||
const membersPerCommunity = opts.membersPerCommunity ?? 12;
|
||||
const resourcesPerCommunity = opts.resourcesPerCommunity ?? 6;
|
||||
const subCommunities = opts.subCommunities ?? 2;
|
||||
|
||||
const arbiter = new Arbiter();
|
||||
const users = [];
|
||||
const groups = [];
|
||||
const subGroups = [];
|
||||
const resources = [];
|
||||
const relations = []; // { src, rel, dst, possibility }
|
||||
|
||||
for (let c = 0; c < communities; c++) {
|
||||
groups.push(`group:${c}`);
|
||||
arbiter.addNode(`group:${c}`, 'group');
|
||||
for (let s = 0; s < subCommunities; s++) {
|
||||
const key = `sub:${c}:${s}`;
|
||||
subGroups.push(key);
|
||||
arbiter.addNode(key, 'group');
|
||||
relations.push({ src: key, rel: 'parent', dst: `group:${c}`, possibility: 1 });
|
||||
// Sub-groups own their own resources so a one-level TTU
|
||||
// (member -> owns) is reachable from members.
|
||||
for (let r = 0; r < resourcesPerCommunity; r++) {
|
||||
const rkey = `res:${c}:${s}:${r}`;
|
||||
resources.push(rkey);
|
||||
arbiter.addNode(rkey, 'resource');
|
||||
relations.push({ src: key, rel: 'owns', dst: rkey, possibility: 1 });
|
||||
}
|
||||
}
|
||||
for (let r = 0; r < resourcesPerCommunity; r++) {
|
||||
const key = `res:${c}:${r}`;
|
||||
resources.push(key);
|
||||
arbiter.addNode(key, 'resource');
|
||||
relations.push({ src: `group:${c}`, rel: 'owns', dst: key, possibility: 1 });
|
||||
}
|
||||
for (let m = 0; m < membersPerCommunity; m++) {
|
||||
const key = `user:${c}:${m}`;
|
||||
users.push(key);
|
||||
arbiter.addNode(key, 'user');
|
||||
const home = pick(rng, subGroups.filter(g => g.startsWith(`sub:${c}:`)));
|
||||
relations.push({ src: key, rel: 'member', dst: home, possibility: 1 });
|
||||
// Some members also hold direct access.
|
||||
if (rng() < 0.3) {
|
||||
relations.push({ src: key, rel: 'direct_access', dst: pick(rng, resources), possibility: randPossibility(rng) });
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Inter-community edges: sparse links between groups (delegation).
|
||||
for (let c = 0; c < communities; c++) {
|
||||
for (let s = 0; s < subCommunities; s++) {
|
||||
if (rng() < 0.4) {
|
||||
const other = (c + 1 + Math.floor(rng() * (communities - 1))) % communities;
|
||||
relations.push({ src: `sub:${c}:${s}`, rel: 'delegate', dst: pick(rng, subGroups.filter(g => g.startsWith(`sub:${other}:`))), possibility: randPossibility(rng, 0.5) });
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Blocked overlay: ~10% of users blocked on some resource.
|
||||
for (const u of users) {
|
||||
if (rng() < 0.1) {
|
||||
relations.push({ src: u, rel: 'blocked', dst: pick(rng, resources), possibility: 1 });
|
||||
}
|
||||
}
|
||||
|
||||
for (const rel of relations) {
|
||||
arbiter.addRelation(rel.src, rel.rel, rel.dst, { possibility: rel.possibility });
|
||||
}
|
||||
|
||||
arbiter.setRelationConfig('parent', { type: 'direct' });
|
||||
arbiter.setRelationConfig('owns', { type: 'direct' });
|
||||
arbiter.setRelationConfig('member', { type: 'direct' });
|
||||
arbiter.setRelationConfig('direct_access', { type: 'direct' });
|
||||
arbiter.setRelationConfig('delegate', { type: 'direct' });
|
||||
arbiter.setRelationConfig('blocked', { type: 'direct' });
|
||||
|
||||
arbiter.setRelationConfig('can_read', {
|
||||
type: 'tuple_to_userset',
|
||||
tuplesetRelation: 'owns',
|
||||
tuplesetDirection: 'in',
|
||||
computedRelation: 'member'
|
||||
});
|
||||
arbiter.setRelationConfig('can_read_with_direct', {
|
||||
union: [
|
||||
{ type: 'tuple_to_userset', tuplesetRelation: 'owns', tuplesetDirection: 'in', computedRelation: 'member' },
|
||||
{ type: 'direct', relation: 'direct_access' }
|
||||
]
|
||||
});
|
||||
arbiter.setRelationConfig('can_read_not_blocked', {
|
||||
exclusion: [
|
||||
{ type: 'tuple_to_userset', tuplesetRelation: 'owns', tuplesetDirection: 'in', computedRelation: 'member' },
|
||||
{ type: 'direct', relation: 'blocked' }
|
||||
]
|
||||
});
|
||||
arbiter.setRelationConfig('can_delegate_read', {
|
||||
type: 'chain',
|
||||
steps: [
|
||||
{ relation: 'member', direction: 'out' },
|
||||
{ relation: 'delegate', direction: 'out' }
|
||||
],
|
||||
collectValues: false
|
||||
});
|
||||
|
||||
return {
|
||||
arbiter,
|
||||
users,
|
||||
groups,
|
||||
subGroups,
|
||||
resources,
|
||||
relations,
|
||||
meta: { kind: 'community', communities, membersPerCommunity, resourcesPerCommunity, subCommunities }
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Preferential attachment (Barabási-Albert): power-law degree distribution.
|
||||
*
|
||||
* Resources are created as "popularity magnets" with a few initial edges;
|
||||
* users attach preferentially to already-popular resources, producing a
|
||||
* handful of hubs with hundreds of edges. Exercises long adjacency lists,
|
||||
* hub contention, and cache pressure.
|
||||
*/
|
||||
export function makeScaleFreeGraph(seed = 42, opts = {}) {
|
||||
const rng = mulberry32(seed);
|
||||
const users = opts.users ?? 150;
|
||||
const resources = opts.resources ?? 30;
|
||||
const edges = opts.edges ?? 400;
|
||||
|
||||
const arbiter = new Arbiter();
|
||||
const userKeys = [];
|
||||
const resourceKeys = [];
|
||||
const degree = new Map();
|
||||
|
||||
for (let i = 0; i < users; i++) {
|
||||
const k = `user:${i}`;
|
||||
userKeys.push(k);
|
||||
arbiter.addNode(k, 'user');
|
||||
}
|
||||
for (let i = 0; i < resources; i++) {
|
||||
const k = `res:${i}`;
|
||||
resourceKeys.push(k);
|
||||
arbiter.addNode(k, 'resource');
|
||||
}
|
||||
|
||||
const allKeys = [...userKeys, ...resourceKeys];
|
||||
const attach = () => {
|
||||
if (allKeys.length < 2) return allKeys[0];
|
||||
// Preferential: pick a random node, then walk toward higher degree.
|
||||
let v = pick(rng, allKeys);
|
||||
for (let hop = 0; hop < 3; hop++) {
|
||||
const neighbors = [];
|
||||
for (const [k, d] of degree) neighbors.push([k, d]);
|
||||
const sampled = neighbors[Math.floor(rng() * neighbors.length)];
|
||||
if (sampled && sampled[1] > (degree.get(v) || 0)) v = sampled[0];
|
||||
}
|
||||
return v;
|
||||
};
|
||||
|
||||
for (let e = 0; e < edges; e++) {
|
||||
const src = pick(rng, userKeys);
|
||||
const dst = attach();
|
||||
if (src === dst) continue;
|
||||
const rel = rng() < 0.6 ? 'can_read' : 'can_write';
|
||||
arbiter.addRelation(src, rel, dst, { possibility: randPossibility(rng) });
|
||||
degree.set(dst, (degree.get(dst) || 0) + 1);
|
||||
}
|
||||
|
||||
arbiter.setRelationConfig('can_read', { type: 'direct' });
|
||||
arbiter.setRelationConfig('can_write', { type: 'direct' });
|
||||
|
||||
return {
|
||||
arbiter,
|
||||
users: userKeys,
|
||||
resources: resourceKeys,
|
||||
relations: edges,
|
||||
meta: { kind: 'scale-free', users, resources, edges }
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Org-tree hierarchy: nested teams with ownership chains of depth 1-4.
|
||||
*
|
||||
* A root "org" owns everything; departments own their section resources;
|
||||
* teams own project resources. Membership is a chain: user → team →
|
||||
* department → org. A chain rule grants access along ownership. This
|
||||
* exercises multi-hop traversal with cycles prevented by tree structure.
|
||||
*/
|
||||
export function makeHierarchyGraph(seed = 42, opts = {}) {
|
||||
const rng = mulberry32(seed);
|
||||
const departments = opts.departments ?? 4;
|
||||
const teamsPerDept = opts.teamsPerDept ?? 3;
|
||||
const membersPerTeam = opts.membersPerTeam ?? 6;
|
||||
const resourcesPerTeam = opts.resourcesPerTeam ?? 4;
|
||||
|
||||
const arbiter = new Arbiter();
|
||||
const users = [];
|
||||
const teams = [];
|
||||
const resources = [];
|
||||
const relations = [];
|
||||
|
||||
arbiter.addNode('org:0', 'group');
|
||||
for (let d = 0; d < departments; d++) {
|
||||
const dept = `dept:${d}`;
|
||||
arbiter.addNode(dept, 'group');
|
||||
relations.push({ src: dept, rel: 'parent', dst: 'org:0', possibility: 1 });
|
||||
for (let r = 0; r < 2; r++) {
|
||||
const key = `${dept}:res:${r}`;
|
||||
resources.push(key);
|
||||
arbiter.addNode(key, 'resource');
|
||||
relations.push({ src: dept, rel: 'owns', dst: key, possibility: 1 });
|
||||
}
|
||||
for (let t = 0; t < teamsPerDept; t++) {
|
||||
const team = `${dept}:team:${t}`;
|
||||
teams.push(team);
|
||||
arbiter.addNode(team, 'group');
|
||||
relations.push({ src: team, rel: 'parent', dst: dept, possibility: 1 });
|
||||
for (let r = 0; r < resourcesPerTeam; r++) {
|
||||
const key = `${team}:res:${r}`;
|
||||
resources.push(key);
|
||||
arbiter.addNode(key, 'resource');
|
||||
relations.push({ src: team, rel: 'owns', dst: key, possibility: 1 });
|
||||
}
|
||||
for (let m = 0; m < membersPerTeam; m++) {
|
||||
const key = `${team}:user:${m}`;
|
||||
users.push(key);
|
||||
arbiter.addNode(key, 'user');
|
||||
relations.push({ src: key, rel: 'member', dst: team, possibility: 1 });
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
for (const rel of relations) {
|
||||
arbiter.addRelation(rel.src, rel.rel, rel.dst, { possibility: rel.possibility });
|
||||
}
|
||||
|
||||
arbiter.setRelationConfig('parent', { type: 'direct' });
|
||||
arbiter.setRelationConfig('owns', { type: 'direct' });
|
||||
arbiter.setRelationConfig('member', { type: 'direct' });
|
||||
|
||||
arbiter.setRelationConfig('can_access_org', {
|
||||
type: 'chain',
|
||||
steps: [
|
||||
{ relation: 'member', direction: 'out' },
|
||||
{ relation: 'parent', direction: 'out' },
|
||||
{ relation: 'owns', direction: 'out' }
|
||||
],
|
||||
collectValues: false
|
||||
});
|
||||
|
||||
return {
|
||||
arbiter,
|
||||
users,
|
||||
teams,
|
||||
resources,
|
||||
relations,
|
||||
meta: { kind: 'hierarchy', departments, teamsPerDept, membersPerTeam, resourcesPerTeam }
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Dense adversarial: maximal overlap on a small graph.
|
||||
*
|
||||
* Every user touches every resource with multiple relations; reciprocal
|
||||
* edges, self-loops, and multi-rule policies create dense adjacency and
|
||||
* cycle pressure. Built to catch traversal blowup and cache collisions,
|
||||
* not to model a real community.
|
||||
*/
|
||||
export function makeDenseAdversarial(seed = 42, opts = {}) {
|
||||
const rng = mulberry32(seed);
|
||||
const users = opts.users ?? 8;
|
||||
const resources = opts.resources ?? 6;
|
||||
|
||||
const arbiter = new Arbiter();
|
||||
const userKeys = [];
|
||||
const resourceKeys = [];
|
||||
|
||||
for (let i = 0; i < users; i++) {
|
||||
const k = `user:${i}`;
|
||||
userKeys.push(k);
|
||||
arbiter.addNode(k, 'user');
|
||||
}
|
||||
for (let i = 0; i < resources; i++) {
|
||||
const k = `res:${i}`;
|
||||
resourceKeys.push(k);
|
||||
arbiter.addNode(k, 'resource');
|
||||
}
|
||||
|
||||
arbiter.setRelationConfig('can_read', { type: 'direct' });
|
||||
arbiter.setRelationConfig('can_write', { type: 'direct' });
|
||||
arbiter.setRelationConfig('member', { type: 'direct' });
|
||||
arbiter.setRelationConfig('owns', { type: 'direct' });
|
||||
arbiter.setRelationConfig('can_access', {
|
||||
union: [
|
||||
{ type: 'direct', relation: 'can_read' },
|
||||
{ type: 'direct', relation: 'can_write' },
|
||||
{ type: 'tuple_to_userset', tuplesetRelation: 'owns', tuplesetDirection: 'in', computedRelation: 'member' }
|
||||
]
|
||||
});
|
||||
|
||||
for (const u of userKeys) {
|
||||
for (const r of resourceKeys) {
|
||||
if (rng() < 0.9) arbiter.addRelation(u, 'can_read', r, { possibility: randPossibility(rng) });
|
||||
if (rng() < 0.5) arbiter.addRelation(u, 'can_write', r, { possibility: randPossibility(rng) });
|
||||
if (rng() < 0.5) arbiter.addRelation(u, 'member', r, { possibility: 1 });
|
||||
if (rng() < 0.3) arbiter.addRelation(r, 'owns', u, { possibility: 1 }); // reciprocal
|
||||
}
|
||||
if (rng() < 0.3) arbiter.addRelation(u, 'can_read', u, { possibility: 0.5 }); // self-loop
|
||||
}
|
||||
|
||||
return {
|
||||
arbiter,
|
||||
users: userKeys,
|
||||
resources: resourceKeys,
|
||||
relations: null,
|
||||
meta: { kind: 'dense-adversarial', users, resources }
|
||||
};
|
||||
}
|
||||
|
||||
export const GENERATORS = {
|
||||
community: makeCommunityGraph,
|
||||
'scale-free': makeScaleFreeGraph,
|
||||
hierarchy: makeHierarchyGraph,
|
||||
'dense-adversarial': makeDenseAdversarial
|
||||
};
|
||||
Reference in New Issue
Block a user