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* feat(facts): typed-claim substrate + cycle correctness fixes (v0.35.6 wave 1/3) Schema (migration v67): - Add four optional typed-claim columns to facts: claim_metric TEXT, claim_value DOUBLE PRECISION, claim_unit TEXT, claim_period TEXT - Partial index facts_typed_claim_idx ON (entity_slug, claim_metric, valid_from) WHERE claim_metric IS NOT NULL - All nullable, metadata-only on both engines Fence layer: - ParsedFact (facts-fence.ts) gains optional claimMetric/Value/Unit/Period - Parser tolerates both 10-cell (legacy) and 14-cell (widened) rows - Renderer emits 14 cells iff any row has typed data; otherwise stays 10-cell so existing fences don't widen on unrelated edits - Numeric value cell tolerates comma thousand separators (50,000 -> 50000) Extract pipeline (D-CDX-2, D-ENG-1): - src/core/facts/extract.ts (the actual Haiku call site, NOT extract-facts.ts cycle phase) extends its system prompt to emit typed fields for metric-shaped claims - extractFactsFromFenceText gains optional pageEffectiveDate. Precedence: fence-row validFrom > pageEffectiveDate > undefined (engine defaults to now) - normalizeMetricLabel: 15-entry seed map for common founder metrics (mrr, arr, runway, headcount, team_size, cac, ltv, gross_margin, burn_rate, cash, users, mau, dau, churn_rate, revenue); unknown labels lowercase + space->_ Engine extensions: - NewFact + insertFact + insertFacts in both engines accept the four typed columns (all nullable) - Cycle phase extract-facts.ts threads page.effective_date through AND batch-embeds via gateway.embed() before insertFacts (D-CDX-3 fix for cycle-inserted facts arriving with embedding=NULL) Consolidate fix (D-CDX-4 — Codex F4): - Replace MAX(row_num)+1 INSERT with semantic upsert on (page_id, claim, since_date). Re-running the full cycle on stable input produces zero new takes — fixes the pre-existing duplicate-takes bug after extract_facts wipes consolidated_at - Chronological valid_until writeback per cluster: sort by (valid_from ASC, id ASC), walk pairs, set older.valid_until = newer.valid_from Tests: - test/migrate.test.ts +6 cases for v67 shape + materialization + nullable backward compat - test/facts-fence-typed.test.ts (new, 17 cases): parser+renderer round-trip, normalization seed map coverage, valid_from precedence three-branch - test/consolidate-valid-until.test.ts (new, 4 cases): chronological writeback (R4a), same-day id tiebreaker, cycle re-run zero duplicates (R4b/R7), valid_until idempotency - test/schema-bootstrap-coverage.test.ts: add four typed-claim columns to COLUMN_EXEMPTIONS (migration co-defines the partial index, no forward reference to bootstrap) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * feat(trajectory): find_trajectory MCP op + eval/founder CLIs (v0.35.6 wave 2/3) Engine method (D-CDX-1, D-CDX-6): - BrainEngine.findTrajectory(opts) on both Postgres and PGLite - TrajectoryOpts: scalar sourceId fast path + sourceIds federated array (mirrors v0.34.1.0 search* dual pattern) - opts.remote: when true, SQL adds AND visibility='world' so OAuth read clients see only world-visibility facts (mirrors recall's posture — closes the F7 privacy regression Codex caught in plan review) - Single SQL query, ORDER BY valid_from ASC, id ASC for deterministic output (R3 pin). Returns TrajectoryPoint[] including raw embedding so the caller can compute drift without a second round-trip Pure function library (src/core/trajectory.ts, new): - detectRegressions(points, threshold): walks consecutive (metric, value) pairs per metric; emits when newer drops >= threshold below older. 10% default, override via GBRAIN_TRAJECTORY_REGRESSION_THRESHOLD - computeDriftScore(points): 1 - mean(cosine(emb[i], emb[i-1])) over embedded points; clamped [0,1]; null when <3 embedded points (D-ENG-3 graceful degradation) - computeTrajectoryStats(points): composed shape returning both - TRAJECTORY_SCHEMA_VERSION = 1 — additive-only across releases (R5) MCP op (src/core/operations.ts): - find_trajectory: scope read, NOT localOnly. Routes through sourceScopeOpts(ctx) for federated isolation AND threads ctx.remote for visibility filtering. Strips raw Float32Array embeddings from the wire shape; converts valid_from to YYYY-MM-DD string - Registered in operations array after find_experts - FIND_TRAJECTORY_DESCRIPTION in operations-descriptions.ts CLIs: - gbrain eval trajectory <entity> [--metric M] [--since D] [--until D] [--limit N] [--json] — chronological human view with [REGRESSION] inline annotation; thin-client routing via callRemoteTool(find_trajectory). Dispatched in src/commands/eval.ts sub-subcommand block - gbrain founder scorecard <entity> [--since D] [--until D] [--json] — pure aggregation over Phase 2's substrate. Four signals: claim_accuracy (over resolved takes), consistency, growth_trajectory, red_flags. computeFounderScorecard exported for tests. Registered as top-level command in cli.ts; added to CLI_ONLY set Tests (45 cases across 5 files): - test/engine-find-trajectory.test.ts: 18 cases — chronological order, source scoping (scalar + federated), visibility filter on remote=true, metric + since/until filters, regression detection at threshold boundaries, drift score with various embedding states - test/operations-find-trajectory.test.ts: 9 cases — op registration, param validation, JSON envelope shape, R5 schema_version: 1, embedding stripped from wire, R6 visibility filter, source scoping - test/eval-trajectory.test.ts: 7 cases — arg parsing, --help, --json envelope, regression annotation, --metric filter, empty entity - test/founder-scorecard.test.ts: 9 cases — empty inputs no-NaN (G2), claim_accuracy math, consistency math, growth_trajectory math, red_flags fire for regression / narrative_drift / missed_prediction - test/eval-contradictions/no-valid-until-write.test.ts: 4 cases — R1 (probe never writes valid_until under eval-contradictions/) + R8 (only allow-listed files write valid_until anywhere in src/) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * chore: v0.35.6.0 — CHANGELOG + VERSION + docs + migration note Bumps to v0.35.6.0 (next-minor after master's v0.35.5.1 — typed-claim substrate + trajectory + founder scorecard is a new user-facing feature surface, not a fix). - VERSION + package.json synced - CHANGELOG.md release-summary block in the wave-style voice, lead with what the user can now DO. Sections: typed metric claims in the fence, chronological metric trajectories, founder scorecard, MCP find_trajectory op, cycle re-run idempotency fix, embedding-on-insert fix, valid_from precedence fix. To-take-advantage-of block with verification + opt-in fence syntax example - CLAUDE.md Key Files entry consolidating the wave across eval-trajectory.ts + founder-scorecard.ts + trajectory.ts. Names every D-ENG / D-CDX decision and the Codex outside-voice F-numbers - skills/migrations/v0.35.6.md agent-readable migration note. Includes fence-syntax example for typed-claim rows so downstream agents start emitting them. Iron-rule contracts called out (R1 + R8 + R7 + visibility) - llms-full.txt regenerated to reflect the new CLAUDE.md entry Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * docs: post-ship sync for v0.35.7.0 — trajectory + founder scorecard - README.md: add `gbrain eval trajectory` to EVAL section, add new TEMPORAL block covering `gbrain founder scorecard` + the GBRAIN_TRAJECTORY_REGRESSION_THRESHOLD env override; add v0.35.7 "What's new" paragraph below the v0.28.8 LongMemEval blurb - AGENTS.md: new bullet under Common tasks teaching agents to reach for `gbrain eval trajectory` / `gbrain founder scorecard` / the `find_trajectory` MCP op when asked to evaluate a founder/company over time - docs/contradictions.md: append "Temporal axis follow-on (v0.35.3.1 + v0.35.7)" subsection under See also, cross-linking the trajectory substrate and naming the auto-supersession.ts:4 invariant preserved by both the verdict enum (probe side) and consolidate's valid_until writeback (cycle side) - CLAUDE.md: fix stale (v0.35.4) tag on the trajectory entry to (v0.35.7) — version got rebumped twice during the merge wave - skills/migrations/v0.35.7.md renamed to v0.35.7.0.md for consistency with the v0.35.0.0.md / v0.14.0.md / etc naming convention - llms-full.txt regenerated to reflect the CLAUDE.md edit Coverage map (Diataxis): /eval trajectory CLI ✅ ref (README, AGENTS) ✅ how-to (CHANGELOG) ❌ tutorial /founder scorecard CLI ✅ ref (README, AGENTS) ✅ how-to (CHANGELOG) ❌ tutorial find_trajectory MCP op ✅ ref (CLAUDE.md, AGENTS, contradictions.md) typed-claim fence cols ✅ ref (skills/migrations/v0.35.7.0.md, CHANGELOG) Migration v67 ✅ ref (CLAUDE.md, CHANGELOG) No tutorial / explanation gaps worth filling in this PR — the migration note's fence-syntax example already covers the "first typed claim" walkthrough. ARCHITECTURE diagrams not drifted (the trajectory work extends existing facts/takes infrastructure; no new component boxes). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
322 lines
13 KiB
TypeScript
322 lines
13 KiB
TypeScript
// v0.35.4 — typed-claim fence parser+renderer round-trip + normalization.
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//
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// Pins:
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// 1. Backward compat — a fence authored without typed fields still
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// parses, renders as 10-cell shape, and round-trips byte-identical.
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// 2. Typed fields parse from the 14-cell widened fence.
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// 3. Renderer widens to 14 cells iff ANY row has a non-undefined typed
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// field; otherwise stays at 10-cell (no diff noise on existing fences).
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// 4. Round-trip preservation: parse → render → parse produces the same
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// ParsedFact array, including typed fields.
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// 5. Numeric value cell tolerates thousand separators (`50,000`).
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import { test, expect, describe } from 'bun:test';
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import {
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parseFactsFence,
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renderFactsTable,
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upsertFactRow,
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type ParsedFact,
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} from '../src/core/facts-fence.ts';
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import {
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extractFactsFromFenceText,
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normalizeMetricLabel,
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METRIC_NORMALIZATION_MAP,
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} from '../src/core/facts/extract-from-fence.ts';
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function wrap(inner: string): string {
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return `## Facts\n\n<!--- gbrain:facts:begin -->\n${inner}\n<!--- gbrain:facts:end -->\n`;
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}
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describe('v0.35.4 — facts fence typed-claim parser', () => {
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test('legacy 10-cell fence parses as before; all typed fields undefined', () => {
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const body = wrap(
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`| # | claim | kind | confidence | visibility | notability | valid_from | valid_until | source | context |
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|---|-------|------|------------|------------|------------|------------|-------------|--------|---------|
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| 1 | Founded Acme in 2017 | fact | 1.0 | world | high | 2017-01-01 | | linkedin | |`,
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);
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const { facts, warnings } = parseFactsFence(body);
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expect(warnings).toEqual([]);
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expect(facts.length).toBe(1);
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expect(facts[0].claim).toBe('Founded Acme in 2017');
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expect(facts[0].claimMetric).toBeUndefined();
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expect(facts[0].claimValue).toBeUndefined();
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expect(facts[0].claimUnit).toBeUndefined();
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expect(facts[0].claimPeriod).toBeUndefined();
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});
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test('14-cell typed fence parses all four typed-claim fields', () => {
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const body = wrap(
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`| # | claim | kind | confidence | visibility | notability | valid_from | valid_until | source | context | claim_metric | claim_value | claim_unit | claim_period |
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|---|-------|------|------------|------------|------------|------------|-------------|--------|---------|--------------|-------------|------------|--------------|
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| 1 | MRR hit $50K | fact | 1.0 | private | high | 2026-01-15 | | OH transcript | | mrr | 50000 | USD | monthly |`,
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);
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const { facts, warnings } = parseFactsFence(body);
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expect(warnings).toEqual([]);
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expect(facts.length).toBe(1);
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expect(facts[0].claimMetric).toBe('mrr');
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expect(facts[0].claimValue).toBe(50000);
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expect(facts[0].claimUnit).toBe('USD');
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expect(facts[0].claimPeriod).toBe('monthly');
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});
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test('numeric value cell tolerates comma thousand separators', () => {
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const body = wrap(
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`| # | claim | kind | confidence | visibility | notability | valid_from | valid_until | source | context | claim_metric | claim_value | claim_unit | claim_period |
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|---|-------|------|------------|------------|------------|------------|-------------|--------|---------|--------------|-------------|------------|--------------|
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| 1 | ARR | fact | 1.0 | private | high | 2026-04-12 | | bo call | | arr | 2,000,000 | USD | annual |`,
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);
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const { facts } = parseFactsFence(body);
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expect(facts[0].claimValue).toBe(2000000);
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});
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test('empty typed cells parse as undefined (not "")', () => {
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const body = wrap(
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`| # | claim | kind | confidence | visibility | notability | valid_from | valid_until | source | context | claim_metric | claim_value | claim_unit | claim_period |
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|---|-------|------|------------|------------|------------|------------|-------------|--------|---------|--------------|-------------|------------|--------------|
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| 1 | bare claim | fact | 1.0 | private | high | 2026-01-01 | | | | | | | |`,
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);
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const { facts } = parseFactsFence(body);
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expect(facts[0].claimMetric).toBeUndefined();
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expect(facts[0].claimValue).toBeUndefined();
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expect(facts[0].claimUnit).toBeUndefined();
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expect(facts[0].claimPeriod).toBeUndefined();
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});
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});
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describe('v0.35.4 — facts fence typed-claim renderer', () => {
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test('renders 10-cell shape when no row has typed fields (backward compat)', () => {
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const facts: ParsedFact[] = [
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{
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rowNum: 1,
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claim: 'Founded Acme in 2017',
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kind: 'fact',
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confidence: 1.0,
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visibility: 'world',
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notability: 'high',
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validFrom: '2017-01-01',
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source: 'linkedin',
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active: true,
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},
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];
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const out = renderFactsTable(facts);
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// 10-cell header
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expect(out).toContain('| # | claim | kind | confidence | visibility | notability | valid_from | valid_until | source | context |');
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// NOT the 14-cell variant
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expect(out).not.toContain('claim_metric');
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});
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test('widens to 14 cells when ANY row has typed fields', () => {
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const facts: ParsedFact[] = [
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{
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rowNum: 1,
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claim: 'plain claim',
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kind: 'fact',
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confidence: 1.0,
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visibility: 'private',
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notability: 'medium',
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active: true,
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},
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{
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rowNum: 2,
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claim: 'MRR hit $50K',
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kind: 'fact',
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confidence: 1.0,
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visibility: 'private',
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notability: 'high',
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active: true,
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claimMetric: 'mrr',
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claimValue: 50000,
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claimUnit: 'USD',
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claimPeriod: 'monthly',
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},
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];
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const out = renderFactsTable(facts);
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expect(out).toContain('claim_metric');
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expect(out).toContain('claim_value');
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expect(out).toContain('claim_unit');
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expect(out).toContain('claim_period');
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// Row 1 has empty typed cells; row 2 has the values.
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expect(out).toContain('| mrr | 50000 | USD | monthly |');
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});
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test('round-trip preservation: parse → render → parse is structurally idempotent for typed facts', () => {
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const body = wrap(
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`| # | claim | kind | confidence | visibility | notability | valid_from | valid_until | source | context | claim_metric | claim_value | claim_unit | claim_period |
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|---|-------|------|------------|------------|------------|------------|-------------|--------|---------|--------------|-------------|------------|--------------|
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| 1 | MRR $50K | fact | 1.0 | private | high | 2026-01-15 | | OH | | mrr | 50000 | USD | monthly |
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| 2 | Team grew to 12 | fact | 1.0 | private | medium | 2026-02-01 | | meeting | | team_size | 12 | people | |
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| 3 | Plain non-typed claim | fact | 0.85 | private | low | 2026-03-01 | | inferred | | | | | |`,
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);
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const first = parseFactsFence(body);
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expect(first.warnings).toEqual([]);
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expect(first.facts.length).toBe(3);
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const rendered = renderFactsTable(first.facts);
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const second = parseFactsFence(rendered);
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expect(second.warnings).toEqual([]);
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expect(second.facts).toEqual(first.facts);
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});
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test('upsertFactRow threads typed fields when a new row carries them', () => {
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// Start from a fence with NO typed fields → 10-cell shape.
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const body = wrap(
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`| # | claim | kind | confidence | visibility | notability | valid_from | valid_until | source | context |
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|---|-------|------|------------|------------|------------|------------|-------------|--------|---------|
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| 1 | Founded Acme in 2017 | fact | 1.0 | world | high | 2017-01-01 | | linkedin | |`,
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);
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const { body: newBody, rowNum } = upsertFactRow(body, {
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claim: 'MRR hit $50K',
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kind: 'fact',
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confidence: 1.0,
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visibility: 'private',
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notability: 'high',
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validFrom: '2026-01-15',
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source: 'OH transcript',
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claimMetric: 'mrr',
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claimValue: 50000,
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claimUnit: 'USD',
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claimPeriod: 'monthly',
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});
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expect(rowNum).toBe(2);
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// Adding a typed row widens the table.
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expect(newBody).toContain('claim_metric');
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const parsed = parseFactsFence(newBody);
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expect(parsed.warnings).toEqual([]);
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expect(parsed.facts.length).toBe(2);
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expect(parsed.facts[1].claimMetric).toBe('mrr');
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expect(parsed.facts[1].claimValue).toBe(50000);
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});
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});
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describe('v0.35.4 — metric normalization (D-ENG-4)', () => {
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test('known seed-map labels normalize to canonical snake_case', () => {
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expect(normalizeMetricLabel('MRR')).toBe('mrr');
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expect(normalizeMetricLabel('Monthly Recurring Revenue')).toBe('mrr');
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expect(normalizeMetricLabel('ARR')).toBe('arr');
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expect(normalizeMetricLabel('annual recurring revenue')).toBe('arr');
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expect(normalizeMetricLabel('Team Size')).toBe('team_size');
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expect(normalizeMetricLabel('Burn Rate')).toBe('burn_rate');
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expect(normalizeMetricLabel('Churn')).toBe('churn_rate');
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});
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test('unknown labels lowercase + spaces → underscores; non-alphanumeric stripped', () => {
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expect(normalizeMetricLabel('Net Promoter Score')).toBe('net_promoter_score');
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expect(normalizeMetricLabel(' CAC ')).toBe('cac');
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expect(normalizeMetricLabel('Time-to-Hire')).toBe('timetohire');
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});
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test('empty / null / undefined → undefined (the "no metric set" signal)', () => {
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expect(normalizeMetricLabel(undefined)).toBeUndefined();
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expect(normalizeMetricLabel(null)).toBeUndefined();
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expect(normalizeMetricLabel('')).toBeUndefined();
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expect(normalizeMetricLabel(' ')).toBeUndefined();
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});
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test('METRIC_NORMALIZATION_MAP covers the 15-metric seed list named in the plan', () => {
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// Pin the seed map so the docs in CLAUDE.md / CHANGELOG match.
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const required = [
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'mrr', 'arr', 'runway', 'headcount', 'team_size',
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'cac', 'ltv', 'gross_margin', 'burn_rate', 'cash',
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'users', 'mau', 'dau', 'churn_rate', 'revenue',
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];
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const canonicalValues = new Set(METRIC_NORMALIZATION_MAP.values());
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for (const r of required) {
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expect(canonicalValues.has(r)).toBe(true);
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}
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});
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});
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describe('v0.35.4 (D-ENG-1) — extractFactsFromFenceText valid_from precedence', () => {
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const fixedToday = new Date('2026-05-17T00:00:00.000Z');
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test('Path 1: explicit validFrom in fence row wins', () => {
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const facts: ParsedFact[] = [{
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rowNum: 1,
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claim: 'fence-dated',
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kind: 'fact',
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confidence: 1.0,
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visibility: 'private',
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notability: 'medium',
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validFrom: '2026-01-15',
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active: true,
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}];
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const out = extractFactsFromFenceText(facts, 'people/alice-example', 'default', {
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nowOverride: fixedToday,
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pageEffectiveDate: new Date('2026-04-28'),
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});
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expect(out[0].valid_from?.toISOString().slice(0, 10)).toBe('2026-01-15');
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});
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test('Path 2: missing fence validFrom + pageEffectiveDate set → uses page date', () => {
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const facts: ParsedFact[] = [{
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rowNum: 1,
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claim: 'no fence date',
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kind: 'fact',
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confidence: 1.0,
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visibility: 'private',
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notability: 'medium',
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active: true,
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}];
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const out = extractFactsFromFenceText(facts, 'people/alice-example', 'default', {
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nowOverride: fixedToday,
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pageEffectiveDate: new Date('2026-04-28'),
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});
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expect(out[0].valid_from?.toISOString().slice(0, 10)).toBe('2026-04-28');
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});
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test('Path 3: missing fence validFrom AND undefined pageEffectiveDate → undefined (engine defaults to now)', () => {
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const facts: ParsedFact[] = [{
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rowNum: 1,
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claim: 'no dates at all',
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kind: 'fact',
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confidence: 1.0,
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visibility: 'private',
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notability: 'medium',
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active: true,
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}];
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const out = extractFactsFromFenceText(facts, 'people/alice-example', 'default', {
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nowOverride: fixedToday,
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pageEffectiveDate: null,
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});
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// valid_from is left undefined; the engine layer applies now() at insert.
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expect(out[0].valid_from).toBeUndefined();
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});
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test('typed-claim fields thread through with metric normalization applied', () => {
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const facts: ParsedFact[] = [{
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rowNum: 1,
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claim: 'MRR $50K',
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kind: 'fact',
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confidence: 1.0,
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visibility: 'private',
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notability: 'high',
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active: true,
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claimMetric: 'Monthly Recurring Revenue', // unnormalized
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claimValue: 50000,
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claimUnit: 'USD',
|
|
claimPeriod: 'monthly',
|
|
}];
|
|
const out = extractFactsFromFenceText(facts, 'companies/acme-example', 'default');
|
|
expect(out[0].claim_metric).toBe('mrr'); // normalized
|
|
expect(out[0].claim_value).toBe(50000);
|
|
expect(out[0].claim_unit).toBe('USD');
|
|
expect(out[0].claim_period).toBe('monthly');
|
|
});
|
|
|
|
test('rows with no typed-claim fields land with null claim_* columns (backward compat)', () => {
|
|
const facts: ParsedFact[] = [{
|
|
rowNum: 1,
|
|
claim: 'bare claim',
|
|
kind: 'fact',
|
|
confidence: 1.0,
|
|
visibility: 'private',
|
|
notability: 'low',
|
|
active: true,
|
|
}];
|
|
const out = extractFactsFromFenceText(facts, 'people/bob-example', 'default');
|
|
expect(out[0].claim_metric).toBeNull();
|
|
expect(out[0].claim_value).toBeNull();
|
|
expect(out[0].claim_unit).toBeNull();
|
|
expect(out[0].claim_period).toBeNull();
|
|
});
|
|
});
|