Files
gbrain/test/entity-resolve.test.ts
T
0c6fcab555 v0.35.4.0 fix(doctor,entities): supervisor crash classification + bare-name resolver + 58x perf + stub guard observability (#1085)
* fix(doctor,entities): supervisor crash classification + bare-name resolver + stub guard

- doctor.ts/jobs.ts: classify worker exits with code !== 0 as real crashes
  vs code === 0 clean restarts (separate counter); fixes false-positive
  WARN on healthy supervisors
- entities/resolve.ts: prefix-expansion step between fuzzy match and
  slugify fallback catches bare first names that score too low on pg_trgm;
  picks highest-connection candidate as tiebreaker
- facts/fence-write.ts: stub-creation guard refuses to spawn unprefixed
  entity pages at brain root
- facts/backstop.ts: routes stubGuardBlocked facts to engine.insertFact
  so the fact still persists even when no markdown file is created
- docs/issues/doctor-auto-heal-and-scoring.md: spec for follow-up doctor
  health-score improvements
- .gitignore: guard reports/network-intelligence/ (private brain exports)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* chore(privacy): scrub real names from entity-resolve test fixtures and JSDoc

Replace YC partner names with placeholders per CLAUDE.md privacy rule:
alice-example, bob-example, charlie-example, dave-example. Stripe and
Stripe Atlas retained (allowed household brands; exercises the two-word
company-prefix case).

Test semantics preserved:
- Alice / Dave: single-match cases
- Bob / Charlie: multi-match tiebreaker cases (winner has more chunks)

All 13 entity-resolve cases pass with the scrubbed fixtures.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* refactor(supervisor): extract classifyWorkerExit() helper (DRY)

Three call sites were inline-classifying worker exits: supervisor's
restart policy (child-worker-supervisor.ts:291), doctor's supervisor
check (doctor.ts:1016), and jobs supervisor status (jobs.ts:806). Same
rule, three copies — drift risk if one is updated without the others.

Extract to src/core/minions/exit-classification.ts as a pure function.
Signature consumes audit-JSON shape ({ code: number | null }) so doctor
and jobs (which read serialized events from JSONL) and supervisor (which
reads Node's exit callback) call the same function. Helper's classification
rule: code === 0 → clean_exit, everything else (non-zero, null, undefined,
missing) → crash. Default-to-crash prevents corrupted rows from silently
demoting into the clean-restart bucket.

5 hermetic unit tests (test/exit-classification.test.ts) pin all edge cases.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(facts): audit + sunset comment for stub-guard fires

Wire telemetry into the v0.34.5 stub-guard at fence-write.ts:190. Every
guard fire now appends a JSONL line to
~/.gbrain/audit/stub-guard-YYYY-Www.jsonl with {ts, slug, source_id,
fact_count}. Operator visibility for the sunset criterion: when the new
audit log reads <5 hits/week for 3 consecutive weeks on production
brains, the prefix-expansion in resolveEntitySlug is sufficient and the
guard can be removed in v0.36.

Reader (readRecentStubGuardEvents) deliberately diverges from
supervisor-audit.ts:readSupervisorEvents — it reads BOTH the current AND
previous ISO-week file before filtering by ts. supervisor-audit's reader
only reads the current week, which loses 24h-window correctness across
Monday 00:00 UTC (a Sunday 23:55 event lives in last week's file). The
2-file read costs nothing and makes the window actually 24h.

9 hermetic unit tests pin filename math, the writer's
swallows-errors contract, the cross-week-boundary read, sort order,
missing-file behavior, and malformed-row tolerance. The cross-week test
is the regression guard: if a future refactor copies the supervisor's
single-file pattern, that test fails.

Follow-up TODO (not in this PR): fix readSupervisorEvents to use the
same 2-file pattern. The new stub-guard reader becomes the canonical
template to copy back.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(doctor): stub_guard_24h check surfaces resolver gaps

Adds a new doctor check that reads ~/.gbrain/audit/stub-guard-YYYY-Www.jsonl
(via the dual-week-aware reader from T8) and surfaces the 24h fire count.
WARN at >10 fires — at that rate the prefix-expansion in resolveEntitySlug
is probably missing a case (typo prefix, alias, non-Latin script) and
operators should grep the audit log for the offending slugs. Below the
threshold but non-zero shows as OK with a count, so operators can watch
the v0.36 sunset criterion (<5/week for 3 weeks → guard can be removed).
Zero hits emits no check, keeping the doctor output clean on healthy
brains.

5 source-grep regression tests pin the contract: check name, WARN
threshold, fix hint mentions the audit log + the resolver function name,
reader is the dual-week-aware variant (NOT the supervisor-audit single-
week pattern), and zero-hits stays silent.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* test(facts): pin stub-guard contract at writeFactsToFence + backstop layers

- fence-write.test.ts: 3 new cases for the v0.34.5 stub guard. Bare slugs
  return {inserted: 0, stubGuardBlocked: true, ids: []} and create no
  file/.tmp at brain root. Prefixed slugs bypass the guard (regression
  guard against accidentally inverting the slug.includes('/') check).
  Empty facts array short-circuits before the guard fires.
- facts-backstop.test.ts: 1 new case for the end-to-end routing. A
  bare-name LLM extraction resolves through to a bare slug, hits the
  guard, and lands in the facts table via engine.insertFact (DB-only).
  No phantom .md file; entity_slug stores the bare slug;
  source_markdown_slug is null. This is the routing contract Codex
  flagged as a "split-brain" data shape — the test pins the by-design
  behavior so a future refactor can't silently drop these facts.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* test(supervisor): pin classifyWorkerExit consumer wire-up + regressions

12 new cases on top of the 5 helper unit tests:
- doctor.ts / jobs.ts / child-worker-supervisor.ts each import the helper
- All three call classifyWorkerExit at least once
- doctor.ts and jobs.ts no longer carry the pre-T7 inline filter
- supervisor uses the helper result to choose the clean_exit branch
- audit-event shape round-trip: code=0 → clean_exit, code=1 → crash,
  code=null+SIGKILL → crash (catches future shape changes)

The regression guards (3) and the wire-up checks (6) close the gap that
motivated T7 in the first place: if a future change accidentally re-inlines
the filter or shifts the audit event shape, the test fails before
production sees the silent divergence.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* perf(entities): correlated subqueries scoped to slug-LIKE candidates

Replace the derived-table JOIN shape in tryPrefixExpansion with
correlated subqueries. The pre-fix SQL did

  LEFT JOIN (SELECT to_page_id, COUNT(*) FROM links GROUP BY to_page_id) li ON ...

which forced the planner to aggregate the entire links + content_chunks
tables on every prefix-expansion call — O(N) per call where N is total
links/chunks in the brain. On a 100K-link / 50K-chunk brain that's slow
enough to bottleneck fact-extraction.

New shape uses correlated subqueries:

  (SELECT COUNT(*) FROM links WHERE to_page_id = p.id)
    + (SELECT COUNT(*) FROM links WHERE from_page_id = p.id)
    + (SELECT COUNT(*) FROM content_chunks WHERE page_id = p.id)

The slug LIKE filter is already selective (typical brain has 0-5 pages
per prefix), so the three subqueries run N≈3 times per matched row
against the existing indexes on links.to_page_id, links.from_page_id,
and content_chunks.page_id. Behavior preserved: 13/13 entity-resolve
tests pass (single-match + multi-match tiebreaker + edge cases).

Codex's outside-voice review caught the dead-end design that an earlier
draft of this plan proposed (a CTE with `LIMIT 50` candidate cap — would
have excluded correct high-connection candidates if their slug sorted
late). Correlated subqueries without a candidate cap are the cleaner
shape that lets the LIKE filter do the bounding work.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* test(entities): perf regression guard for prefix-expansion (58x speedup)

Hermetic PGLite benchmark with 5K pages + 50K links + 25K chunks. Runs
the pre-T12 derived-table shape and the new correlated-subquery shape
side-by-side against the same fixture, asserts NEW >= 5x faster than OLD.
Baseline-ratio, not absolute wall-clock — different machines / Bun
versions / CI load can shift absolute timings by 10x without indicating
a real regression, but the SHAPE difference between "aggregate the full
tables" and "correlated subquery per candidate" is what we care about.

Measured: old_median=18.16ms, new_median=0.31ms, speedup=58.22x.
The 5x assertion has plenty of headroom.

The OLD SQL is embedded verbatim as the regression baseline. If a future
refactor re-introduces full-table aggregation (LEFT JOIN against
SELECT...GROUP BY over the whole links or content_chunks table), the
test fails. PGLite-only — Postgres planner can shape derived-table
JOINs differently enough that the 5x ratio could be noise on a 5K-page
fixture. The structural correctness of the rewrite is the same on both;
this is purely a planner-shape regression guard.

.slow.test.ts suffix keeps it out of the fast loop (run via
`bun run test:slow`).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* chore: bump version and changelog (v0.35.2.0)

Wave content:
- Privacy scrub: PII rebuilt out of branch history; real names → placeholders
- Bug fix: doctor + jobs no longer count clean worker exits as crashes
- Bug fix: entity resolver prefix-expansion catches bare first names
- DRY refactor: classifyWorkerExit() helper (one rule, 3 call sites)
- Observability: stub_guard_24h doctor check + ISO-week audit log
- Perf: 58x speedup on tryPrefixExpansion query shape

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* fix: rebump v0.35.2.0 → v0.35.4.0 + scrub TODOS.md privacy violation

VERSION/package.json/CHANGELOG header rebumped to v0.35.4.0 per user
request (queue allocation). TODOS.md rephrased to not literally name
the banned private-agent string — that was the CI failure root cause
on the v0.35.2.0 push. CHANGELOG.md is on check-privacy.sh's allow-list
(meta-documentation exception); TODOS.md is not.

CI re-runs against this commit.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-17 08:51:33 -07:00

167 lines
6.4 KiB
TypeScript

import { describe, it, expect, beforeAll, afterAll } from 'bun:test';
import { resolveEntitySlug, slugify } from '../src/core/entities/resolve.ts';
import { PGLiteEngine } from '../src/core/pglite-engine.ts';
import type { BrainEngine } from '../src/core/engine.ts';
/**
* Entity resolution prefix expansion tests.
*
* Validates that bare first names resolve to existing pages via prefix
* expansion, preventing phantom stub creation.
*
* Fixture names use the `alice-example` / `bob-example` / `charlie-example`
* / `dave-example` placeholder pattern per CLAUDE.md privacy rule.
* `stripe` and `stripe-atlas` are intentional — household-brand exception
* exercises the two-word company prefix case.
*/
let engine: PGLiteEngine;
beforeAll(async () => {
engine = new PGLiteEngine();
await engine.connect({ database_url: '' });
await engine.initSchema();
// Seed test pages. Naming pattern:
// - alice-example: single-match case (only people/alice-*)
// - bob-example vs bob-rosenstein: multi-match tiebreaker (bob-example wins on connections)
// - charlie-example vs charlie-bankcroft: multi-match tiebreaker (charlie-example wins on connections)
// - dave-example: single-match case
const pages = [
{ slug: 'people/alice-example', title: 'Alice Example', type: 'person' },
{ slug: 'people/bob-example', title: 'Bob Example', type: 'person' },
{ slug: 'people/bob-rosenstein', title: 'Bob Rosenstein', type: 'person' },
{ slug: 'people/charlie-example', title: 'Charlie Example', type: 'person' },
{ slug: 'people/charlie-bankcroft', title: 'Charlie Bankcroft', type: 'person' },
{ slug: 'people/dave-example', title: 'Dave Example', type: 'person' },
{ slug: 'companies/stripe', title: 'Stripe', type: 'company' },
{ slug: 'companies/stripe-atlas', title: 'Stripe Atlas', type: 'company' },
];
for (const p of pages) {
await engine.putPage(p.slug, {
type: p.type as any,
title: p.title,
compiled_truth: `# ${p.title}`,
frontmatter: { type: p.type, title: p.title, slug: p.slug },
}, { sourceId: 'default' });
}
// Give alice-example 10 chunks (single match, ensures it's the resolved target)
const alicePage = await engine.executeRaw<{ id: string }>(
`SELECT id FROM pages WHERE slug = 'people/alice-example' AND source_id = 'default'`,
[],
);
if (alicePage.length > 0) {
for (let i = 0; i < 10; i++) {
await engine.executeRaw(
`INSERT INTO content_chunks (page_id, chunk_index, chunk_text)
VALUES ($1, $2, $3)`,
[alicePage[0].id, i, `Chunk ${i} about Alice Example`],
);
}
}
// Give charlie-example more connections than charlie-bankcroft (20 vs 0)
const charliePage = await engine.executeRaw<{ id: string }>(
`SELECT id FROM pages WHERE slug = 'people/charlie-example' AND source_id = 'default'`,
[],
);
if (charliePage.length > 0) {
for (let i = 0; i < 20; i++) {
await engine.executeRaw(
`INSERT INTO content_chunks (page_id, chunk_index, chunk_text)
VALUES ($1, $2, $3)`,
[charliePage[0].id, i, `Chunk ${i} about Charlie Example`],
);
}
}
// Give bob-example more connections than bob-rosenstein (15 vs 0)
const bobPage = await engine.executeRaw<{ id: string }>(
`SELECT id FROM pages WHERE slug = 'people/bob-example' AND source_id = 'default'`,
[],
);
if (bobPage.length > 0) {
for (let i = 0; i < 15; i++) {
await engine.executeRaw(
`INSERT INTO content_chunks (page_id, chunk_index, chunk_text)
VALUES ($1, $2, $3)`,
[bobPage[0].id, i, `Chunk ${i} about Bob Example`],
);
}
}
});
afterAll(async () => {
await engine.disconnect();
});
describe('resolveEntitySlug — prefix expansion', () => {
it('resolves "Alice" to people/alice-example', async () => {
const result = await resolveEntitySlug(engine as unknown as BrainEngine, 'default', 'Alice');
expect(result).toBe('people/alice-example');
});
it('resolves "alice" (lowercase) to people/alice-example', async () => {
const result = await resolveEntitySlug(engine as unknown as BrainEngine, 'default', 'alice');
expect(result).toBe('people/alice-example');
});
it('resolves "Bob" to people/bob-example (more connections)', async () => {
const result = await resolveEntitySlug(engine as unknown as BrainEngine, 'default', 'Bob');
expect(result).toBe('people/bob-example');
});
it('resolves "Charlie" to people/charlie-example (more connections)', async () => {
const result = await resolveEntitySlug(engine as unknown as BrainEngine, 'default', 'Charlie');
expect(result).toBe('people/charlie-example');
});
it('resolves "Dave" to people/dave-example (single match)', async () => {
const result = await resolveEntitySlug(engine as unknown as BrainEngine, 'default', 'Dave');
expect(result).toBe('people/dave-example');
});
it('falls through to slugify for unknown names', async () => {
const result = await resolveEntitySlug(engine as unknown as BrainEngine, 'default', 'Zyxwvut');
expect(result).toBe('zyxwvut');
});
it('exact match still works for fully-qualified slugs', async () => {
const result = await resolveEntitySlug(engine as unknown as BrainEngine, 'default', 'people/alice-example');
expect(result).toBe('people/alice-example');
});
it('multi-word input does NOT trigger prefix expansion', async () => {
// "Alice Example" should go through fuzzy match, not prefix expansion
const result = await resolveEntitySlug(engine as unknown as BrainEngine, 'default', 'Alice Example');
// Should resolve via fuzzy match to the same page
expect(result).toContain('alice-example');
});
it('hyphenated input does NOT trigger prefix expansion', async () => {
const result = await resolveEntitySlug(engine as unknown as BrainEngine, 'default', 'alice-example');
expect(result).toBe('people/alice-example');
});
it('returns null for empty input', async () => {
const result = await resolveEntitySlug(engine as unknown as BrainEngine, 'default', '');
expect(result).toBeNull();
});
});
describe('slugify', () => {
it('lowercases and hyphenates', () => {
expect(slugify('Alice Example')).toBe('alice-example');
});
it('handles single word', () => {
expect(slugify('Alice')).toBe('alice');
});
it('strips accents', () => {
expect(slugify('José García')).toBe('jose-garcia');
});
});