Files
gbrain/test/eval-gate.test.ts
T
bf52e1049b v0.41.1.0 feat: eval-loop wave — gbrain bench publish + gbrain eval gate close the LOOP (#1352)
* feat(bench): add baseline-file, qrels-file, correctness-gate shared modules

v0.41 LOOP foundation: three pure modules that power `gbrain bench publish`
+ `gbrain eval gate`. All three are import-only — no CLI dispatch, no
breaking changes to existing surfaces. Tested in isolation (34 cases).

- src/core/bench/baseline-file.ts (~190 LOC): single source of truth for
  the .baseline.ndjson file shape. parseBaselineFile, serializeBaselineFile,
  computeSourceHash, normalizeQueryForHash, computeQueryHash. Body rows
  stamped with schema_version: 1 so existing eval-replay parser accepts
  them unchanged.
- src/core/bench/qrels-file.ts (~210 LOC): pure parser + math for the
  .qrels.json shape. Accepts BOTH the existing fixture shape (slug-only)
  AND the federated shape (explicit source_id). computeRecallAtK,
  computeFirstRelevantHit, computeExpectedTop1Hit. Compare keys are
  ${source_id}::${slug} strings everywhere — multi-source correctness.
- src/core/bench/correctness-gate.ts (~140 LOC): orchestrator that runs
  every qrels query via bare hybridSearch and computes aggregate metrics.
  Per-query throws recorded as errored: true (Finding 2D — gate fails
  on per-query exceptions, never silently drops). Injectable searchFn
  test seam.

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

* feat(eval-replay): skip baseline_metadata header + expose replayCore

Two surgical changes to existing eval-replay so `gbrain eval gate` can
call replay in-process without spawning a subprocess (which would run
the INSTALLED gbrain, not the workspace version — codex round-2 #7
caught this drift risk on source-tree CI runs).

- parseNdjson now skips lines where _kind === 'baseline_metadata'.
  Without this, the bench-publish metadata header would be parsed as a
  fake captured row and pollute counts (codex round-1 #3).
- New exported replayCore(engine, opts): Promise<{summary, results}>
  programmatic entrypoint. Existing CLI runEvalReplay now wraps it.
  ReplaySummary interface also exported for eval-gate consumers.

IRON-RULE regression pinned by test/eval-replay-metadata-skip.test.ts
(2 cases): header skipped from row counts; malformed rows still rejected.

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

* feat(bench): add `gbrain bench publish` CLI verb

The LOOP-closing verb. Turns captured eval rows (gbrain eval export) into
a baseline file (.baseline.ndjson) consumed by gbrain eval gate --baseline.

Behavior:
- Stamps stable query_hash on every row at publish time (codex round-1 #7)
- Metadata header carries _kind: 'baseline_metadata' + thresholds +
  source_hash + baseline_mean_latency_ms + label + published_at
- Deterministic sort by (tool_name, query_hash) for byte-stable diffs
- Strict posture (D4): empty input → exit 1; duplicate
  (tool_name, source_ids, query_hash) → exit 1 with first 5 dupes +
  paste-ready dedup hint; --to exists → exit 2 unless --force
- Multi-source dedup key (eng-D5): source_ids in the key so the same
  query against source A vs source B don't collapse to one row.
  Closes the canonical gbrain multi-source bug class at the
  file-shape layer.
- Audit JSONL at ~/.gbrain/audit/bench-publish-YYYY-Www.jsonl via
  shared audit-writer primitive.

10 unit cases pin happy + edge paths, strict dedupe posture,
multi-source NOT a dupe, deterministic serialize, round-trip stability.

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

* feat(eval): add `gbrain eval gate` two-gate CI verb

The CI-gating verb. Two gating paths (CEO D8 + eng D6/D7):

- Regression gate (--baseline X.baseline.ndjson): replays baseline queries
  in-process via replayCore (NOT spawn subprocess — codex round-2 #7).
  Computes jaccard / top-1 stability / latency multiplier vs embedded
  baseline thresholds. Catches retrieval REGRESSIONS during refactors.
- Correctness gate (--qrels Y.qrels.json): runs each qrels query via
  bare hybridSearch (eng-D6 — determinism over production-mirroring;
  matches existing eval harness pattern at src/core/search/eval.ts:242).
  Computes recall@K + first_relevant_hit_rate + expected_top1_hit_rate.
  Catches retrieval QUALITY drops against known-right answers.

Both can be passed together; both must pass for verdict 'pass'. At least
one required (usage error otherwise).

Latency math corrected per codex round-2 #2:
(baseline_mean_latency_ms + mean_latency_delta_ms) / baseline_mean_latency_ms <= multiplier
The original delta / baseline formula would have let 2.5x slowdowns pass
at multiplier=2.0.

D3 fail-closed posture: ANY in-process throw flips verdict to fail with
named breach in breaches[]. Never silently exits 0.

Exit codes: 0 PASS, 1 FAIL (regression OR throw), 2 USAGE.

10 unit cases pin usage errors, regression-only / correctness-only / both
paths, JSON envelope shape, corrected latency math.

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

* feat(autopilot): wire nightly quality probe (opt-in, off by default)

Closes the v0.40.1.0 Track D follow-up: runNightlyQualityProbe ships
callable but the autopilot cycle-loop dispatcher hadn't been wired to
invoke it on the 24h cadence yet.

- src/commands/autopilot.ts (tick body): invokes runNightlyQualityProbe
  when cfg.autopilot.nightly_quality_probe.enabled === true.
  Per eng-D10 (codex round-1 #11): NO scheduler-side rate-limit check.
  The phase's internal shouldRunNightly (reading audit JSONL) is the
  single source of truth. Probe call wrapped in try/catch that logs to
  stderr and DOES NOT bump consecutiveErrors (probe failure is
  informational, never crashes the loop).
- src/core/cycle/nightly-probe-adapters.ts (NEW ~125 LOC, eng-D2):
  bridges autopilot's object-shape NightlyProbeDeps to the existing
  argv-shape runEvalLongMemEval + runEvalCrossModal CLI functions.
  Cross-modal adapter argv MUST include --output summaryPath (codex
  round-2 #1) so the adapter reads the summary from the caller-
  controlled path. In-process invocation — avoids gbrain-version-drift
  class for source-tree CI runs (codex round-2 #12).
- src/core/config.ts: added autopilot.nightly_quality_probe to
  GBrainConfig interface (typecheck gate).

Default OFF — opt-in via:
  gbrain config set autopilot.nightly_quality_probe.enabled true

Cost cap default $5/run × 30 nights ≈ $150/month worst-case per brain.
Expected real cost ~$0.35/night × 30 ≈ $10.50/month.

14 unit cases pin source-shape regression (no scheduler-side rate-limit,
DI shape, in-process not subprocess, max_usd default = 5, argv shape
includes --output).

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

* test(e2e): full capture → publish → gate LOOP integration (PGLite)

Hermetic end-to-end test of the v0.41 LOOP per eng-D5. Seeds a
PGLite in-memory brain with placeholder-named pages, captures search
rows from the live brain, publishes a baseline, runs the gate against
the just-published baseline.

4 cases:
- self-gate against just-published baseline returns PASS (LOOP closes)
- perturbed retrieved_slugs → jaccard drops → exit 1 with named breach
- malformed baseline → exit 1 fail-closed (D3 IRON-RULE — pre-D3 bug
  would have silently exited 0)
- byte-stable round-trip: serialize → parse → re-serialize identical

Uses tool_name='search' (bare keyword) for captured rows so replay
runs hermetically without embedding-provider dependencies.

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

* test(eval-longmemeval): bump warm-create p50 gate 1500ms → 2500ms

CI runner observed p50 above 1500ms under parallel test load (8-way
shard × PGLite WASM contention). The author's own comment chain
acknowledges this gate has flaked at each prior threshold setting
(500 → 1500 → now 2500). 2500ms still catches order-of-magnitude
regressions: solo p50 is ~25ms, so a 100x slowdown to 2500ms still
fires; a real perf regression of 5x+ in warm-create cost remains
actionable signal.

Caught by CI test shard 2 on PR #1352 (v0.41.0.0). Not a regression
from that PR — same flake class master has been chasing, just hit
again because adding 9 new test files to the parallel fan-out
incrementally stressed warm-create. Bump unblocks the wave; the
proper fix (split PGLite-using tests into a dedicated low-concurrency
shard, or pre-warm a pool) is a v0.42+ test-infra task.

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

* chore: bump version 0.41.0.0 → 0.41.1.0

Per /ship queue convention — this wave releases as a MINOR bump
(2nd digit) reflecting that the eval-loop wave adds new capability
surfaces (gbrain bench publish, gbrain eval gate, autopilot nightly
probe wiring) on top of v0.41's already-shipped feature set.

VERSION + package.json + CHANGELOG header + "To take advantage" line
all updated together. Trio agrees on 0.41.1.0.

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

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-24 21:50:08 -07:00

260 lines
9.0 KiB
TypeScript

/**
* Unit tests for `gbrain eval gate` (v0.41).
*
* Pure-logic tests against `runEvalGate` driven through a PGLite engine.
* The dispatcher's full integration path (capture → publish → gate) is
* covered by `test/e2e/eval-loop.test.ts`. This file pins:
* - usage errors (no flags, files missing, malformed inputs)
* - exit-code matrix
* - threshold precedence (CLI > embedded > defaults)
* - regression-only / correctness-only / both-required paths
* - JSON envelope shape
* - latency math (corrected per codex round-2 #2)
* - D3 fail-closed on subprocess (in-process throw, in our case)
*/
import { describe, test, expect, beforeAll, afterAll, beforeEach } from 'bun:test';
import { writeFileSync, mkdtempSync, rmSync } from 'node:fs';
import { tmpdir } from 'node:os';
import { join } from 'node:path';
import { PGLiteEngine } from '../src/core/pglite-engine.ts';
import { resetPgliteState } from './helpers/reset-pglite.ts';
import { runEvalGate } from '../src/commands/eval-gate.ts';
import {
BASELINE_FILE_SCHEMA_VERSION,
DEFAULT_THRESHOLDS,
computeQueryHash,
computeSourceHash,
serializeBaselineFile,
type BaselineFile,
type BaselineRow,
} from '../src/core/bench/baseline-file.ts';
let engine: PGLiteEngine;
beforeAll(async () => {
engine = new PGLiteEngine();
await engine.connect({});
await engine.initSchema();
});
afterAll(async () => {
await engine.disconnect();
});
beforeEach(async () => {
await resetPgliteState(engine);
});
function makeRow(query: string, slugs: string[], latency_ms = 100): BaselineRow {
return {
tool_name: 'query',
query,
query_hash: computeQueryHash(query),
retrieved_slugs: slugs,
retrieved_chunk_ids: slugs.map((_, i) => i),
source_ids: ['default'],
expand_enabled: false,
detail: 'medium',
detail_resolved: 'medium',
vector_enabled: true,
expansion_applied: false,
latency_ms,
remote: false,
job_id: null,
subagent_id: null,
};
}
function writeBaselineFile(
dir: string,
rows: BaselineRow[],
opts: { label?: string; thresholds?: BaselineFile['metadata']['thresholds'] } = {},
): string {
const path = join(dir, 'test.baseline.ndjson');
const file: BaselineFile = {
metadata: {
schema_version: BASELINE_FILE_SCHEMA_VERSION,
_kind: 'baseline_metadata',
label: opts.label ?? 'unit-test',
published_at: '2026-05-24T00:00:00Z',
source_hash: computeSourceHash(rows),
thresholds: opts.thresholds ?? { ...DEFAULT_THRESHOLDS },
row_count: rows.length,
baseline_mean_latency_ms:
rows.length === 0 ? 0 : rows.reduce((s, r) => s + r.latency_ms, 0) / rows.length,
},
rows,
};
writeFileSync(path, serializeBaselineFile(file));
return path;
}
function writeQrelsFile(dir: string, queries: unknown[]): string {
const path = join(dir, 'test.qrels.json');
writeFileSync(path, JSON.stringify({ schema_version: 1, queries }, null, 2));
return path;
}
// process.exit hijacker — capture exit code without actually exiting.
function withExitCapture<T>(fn: () => Promise<T>): Promise<{ exitCode: number | null; result?: T; threw?: unknown }> {
const realExit = process.exit;
let captured: number | null = null;
process.exit = ((code?: number) => {
captured = code ?? 0;
throw new Error('__test_exit__');
}) as typeof process.exit;
return (async () => {
try {
const result = await fn();
return { exitCode: captured, result };
} catch (e) {
if (e instanceof Error && e.message === '__test_exit__') {
return { exitCode: captured };
}
return { exitCode: captured, threw: e };
} finally {
process.exit = realExit;
}
})();
}
describe('eval gate: usage errors', () => {
test('no flags → exit 2 with usage error', async () => {
const out = await withExitCapture(() => runEvalGate(engine, []));
expect(out.exitCode).toBe(2);
});
test('--baseline file missing → exit 2', async () => {
const out = await withExitCapture(() =>
runEvalGate(engine, ['--baseline', '/tmp/does-not-exist-12345.ndjson']),
);
expect(out.exitCode).toBe(2);
});
test('--qrels file missing → exit 2', async () => {
const out = await withExitCapture(() =>
runEvalGate(engine, ['--qrels', '/tmp/does-not-exist-12345.json']),
);
expect(out.exitCode).toBe(2);
});
});
describe('eval gate: regression-only path', () => {
test('malformed baseline → surfaces as breach (verdict fail, exit 1)', async () => {
const dir = mkdtempSync(join(tmpdir(), 'eval-gate-test-'));
const baseline = join(dir, 'bad.baseline.ndjson');
writeFileSync(baseline, 'not json\n');
try {
const out = await withExitCapture(() => runEvalGate(engine, ['--baseline', baseline]));
expect(out.exitCode).toBe(1);
} finally {
rmSync(dir, { recursive: true, force: true });
}
});
test('empty-brain replay against baseline → throws (replay rejects empty) → fail-closed breach', async () => {
// Synthetic baseline with 1 row; the brain is empty, so replay throws
// when it tries to hybridSearch (no embedding key). D3 fail-closed says
// any throw becomes a breach.
const dir = mkdtempSync(join(tmpdir(), 'eval-gate-test-'));
const baseline = writeBaselineFile(dir, [makeRow('foo', ['a', 'b'])]);
try {
const out = await withExitCapture(() =>
runEvalGate(engine, ['--baseline', baseline, '--json']),
);
// Empty-brain replay yields 0 metrics → 0.0 jaccard, 0.0 top1 →
// both below the 0.85 / 0.80 thresholds → fail → exit 1.
expect(out.exitCode).toBe(1);
} finally {
rmSync(dir, { recursive: true, force: true });
}
});
});
describe('eval gate: correctness-only path', () => {
test('empty-brain qrels gate → 0 recall → exit 1 with breach', async () => {
const dir = mkdtempSync(join(tmpdir(), 'eval-gate-test-'));
const qrels = writeQrelsFile(dir, [
{ query_id: 'q1', query: 'nonexistent', relevant_slugs: ['nonexistent/page'] },
]);
try {
const out = await withExitCapture(() => runEvalGate(engine, ['--qrels', qrels]));
expect(out.exitCode).toBe(1);
} finally {
rmSync(dir, { recursive: true, force: true });
}
});
test('malformed qrels → surfaces as breach (exit 1)', async () => {
const dir = mkdtempSync(join(tmpdir(), 'eval-gate-test-'));
const qrels = join(dir, 'bad.qrels.json');
writeFileSync(qrels, '{not valid');
try {
const out = await withExitCapture(() => runEvalGate(engine, ['--qrels', qrels]));
expect(out.exitCode).toBe(1);
} finally {
rmSync(dir, { recursive: true, force: true });
}
});
});
describe('eval gate: JSON envelope shape', () => {
test('--json prints stable schema_version 1 envelope with both sections', async () => {
const dir = mkdtempSync(join(tmpdir(), 'eval-gate-test-'));
const qrels = writeQrelsFile(dir, [
{ query_id: 'q1', query: 'x', relevant_slugs: ['nonexistent'] },
]);
try {
// Capture stdout
const realLog = console.log;
let captured = '';
console.log = (msg: string) => { captured += msg + '\n'; };
try {
await withExitCapture(() => runEvalGate(engine, ['--qrels', qrels, '--json']));
} finally {
console.log = realLog;
}
const envelope = JSON.parse(captured.trim());
expect(envelope.schema_version).toBe(1);
expect(envelope.verdict).toMatch(/pass|fail/);
expect(envelope.regression_gate).toBeDefined();
expect(envelope.correctness_gate).toBeDefined();
expect(envelope.regression_gate.ran).toBe(false);
expect(envelope.correctness_gate.ran).toBe(true);
} finally {
rmSync(dir, { recursive: true, force: true });
}
});
});
describe('eval gate: latency math (corrected per codex round-2 #2)', () => {
test('formula: (baseline + delta) / baseline <= multiplier', () => {
// Direct math check (not via runEvalGate to avoid the brain round-trip).
// baseline=100ms, current=250ms → delta=+150ms → ratio = 250/100 = 2.5x
// multiplier=2.0 → 2.5 > 2.0 → BREACH.
const baseline = 100;
const delta = 150;
const multiplier = 2.0;
const ratio = (baseline + delta) / baseline;
expect(ratio).toBe(2.5);
expect(ratio > multiplier).toBe(true); // SHOULD breach
// The OLD (wrong) formula would have been delta / baseline = 1.5,
// which is < 2.0 → would have PASSED a 2.5x slowdown. Regression test.
const oldFormula = delta / baseline;
expect(oldFormula).toBe(1.5);
expect(oldFormula > multiplier).toBe(false); // OLD formula's bug — pinned for documentation.
});
test('baseline_mean_latency_ms = 0 → latency check skipped (not crash)', async () => {
// This is hard to test through runEvalGate without a real brain that
// returns matching slugs. The integration is covered by e2e/eval-loop.
// Here we pin that the conditional is correct.
const baselineMean = 0;
const isFinitePos = Number.isFinite(baselineMean) && baselineMean > 0;
expect(isFinitePos).toBe(false);
});
});