mirror of
https://github.com/garrytan/gbrain.git
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* feat(core): Levenshtein helper + preflight schema-dim resolvers Foundation for v0.37.10.0 env-detection wave. Two pure modules: - src/core/levenshtein.ts: editDistance(a,b) + suggestNearest(input, candidates, maxDistance). Used by config-set "did you mean" suggestions and env-var typo detection at init. - src/core/embedding-dim-check.ts: resolveSchemaEmbeddingDim() + resolveSchemaMultimodalDim() pure functions. Validate resolved dim against recipe default_dims + per-provider Matryoshka allow-lists (OpenAI text-3, Voyage flexible-dim, ZeroEntropy zembed-1) BEFORE any DB write. Plus EmbeddingDisabledError + assertEmbeddingEnabled() runtime guard for the deferred-setup path (D9). New PGVECTOR_COLUMN_MAX_DIMS=16000 exported. Tests: 41 unit cases across both modules. * feat(providers): extract formatRecipeTable + add init provider picker Two changes prepping the env-detection wave: - providers.ts: extract formatRecipeTable() helper from runList(). Picker reuses it so UI can't drift from \`gbrain providers list\`. Also adds the codex finding #10 warn-line to \`providers test\` when the tested model differs from the configured default ("Note: tested X in isolation; gbrain's configured embedding is Y — this test does NOT verify your brain's active path."). envReady() takes an explicit env arg for testing. - init-provider-picker.ts (NEW): interactive picker mirroring init-mode-picker.ts. Filters candidate recipes to env-ready ones (codex finding #3), prompts via readLineSafe, exports printSubagentAnthropicCaveat() for shared use from initPGLite/initPostgres. Tests: 17 unit cases (10 providers + 7 picker). * feat(config): embedding_disabled sentinel + strict unknown-key rejection Two changes for the v0.37.10.0 wave: - src/core/config.ts: add embedding_disabled?:boolean to GBrainConfig (D9 deferred-setup sentinel, mutually exclusive with embedding_model). Export KNOWN_CONFIG_KEYS (60+ canonical keys, file-plane + DB-plane) and KNOWN_CONFIG_KEY_PREFIXES (search., models., dream., cycle., etc.) for validation use. - src/commands/config.ts: D6 strict-default unknown-key rejection. Unknown key + no --force → exit 1 with Levenshtein suggestion against KNOWN_CONFIG_KEYS. Prefix matches accepted without --force. --force escape hatch accepts arbitrary keys with stderr WARN. Closes the silent-no-op class the bug reporter hit (embedding.provider, embedding.model, embedding.dimensions all exit 1 with right suggestion). Tests: 19 unit cases pinning the bug-reporter regression + gate logic. * feat(init): env-detection auto-pick + preflight + atomic persist + --no-embedding Core of the v0.37.10.0 wave (D1-D7, D9-D11). Closes the bug where a fresh \`gbrain init --pglite\` silently produced a broken brain when no provider key matched the v0.36 default. resolveAIOptions rewritten with per-touchpoint env detection: - Explicit flag → shorthand → env auto-pick (group by provider id, codex #2) - Picker fires when multiple providers env-ready (D1+D2 hybrid) - Non-TTY zero-key exits 1 with paste-ready setup hint (D3) + Levenshtein typo detection for OPENAPI_API_KEY → OPENAI_API_KEY (D13) - All three touchpoints covered (embedding + expansion + chat, D4) - Local-only providers (Ollama/llama-server) excluded from auto-pick; picking Ollama silently when user has OPENAI_API_KEY set was wrong UX initPGLite + initPostgres: - Drop conditional configureGateway gate → always call before initSchema - Preflight resolveSchemaEmbeddingDim() BEFORE engine.initSchema() (D11) — invalid dim refuses with paste-ready hint, no disk write - Atomic embedding-config persistence (codex #13): either resolved tuple or embedding_disabled:true sentinel, never partial state - Post-initSchema invariant assertion stays as regression guardrail - --no-embedding opt-in flag (D9) for deferred-setup mode - Subagent-Anthropic caveat (D7) fires post-init when chat_model is non-Anthropic AND ANTHROPIC_API_KEY missing Exported groupReadyByProvider() + findEnvKeyTypos() for unit testing. Tests: 21 unit cases covering provider grouping + typo detection edge cases. * feat(embed,import): refuse cleanly when --no-embedding deferred-setup is active T7 of the v0.37.10.0 wave. Both runEmbedCore and runImport now call assertEmbeddingEnabled(loadConfig()) at entry. When the brain was init'd with --no-embedding (config has embedding_disabled:true), they exit 1 with a paste-ready hint: gbrain config set embedding_model <provider>:<model> gbrain config set embedding_dimensions <N> gbrain init --force --embedding-model <provider>:<model> \`gbrain import --no-embed\` flag still works (chunks land without vectors), so users can still ingest in deferred-setup mode and backfill embeddings later with \`gbrain embed --stale\`. * feat(doctor): empty-config drift detection + subagent-Anthropic caveat extension Two doctor check extensions for v0.37.10.0: T9 — embedding_provider check extended for the v0.36 silent-default repair case. When config is empty AND schema column dim differs from the gateway-resolved default, surface the mismatch with empty-brain vs non-empty-brain repair branching (codex finding #7 nuance): - Empty brain (0 embedded chunks) → \`gbrain init --force --pglite --embedding-model <id> --embedding-dimensions <N>\` (drop and re-init) - Non-empty brain → \`gbrain retrieval-upgrade --to <id> --reindex\` Gated on totalChunks > 0 so pristine empty brains aren't pre-warned. Never recommend rm -rf ~/.gbrain. T10 — subagent_provider check (v0.31.12) extended per D7. When chat_model is non-Anthropic AND ANTHROPIC_API_KEY is missing, warn that subagent features (gbrain dream, gbrain agent run, gbrain autopilot) will fail at job submission. Chat alone (gbrain think) still works. * feat(reindex,test): multimodal preflight + E2E suite for fresh PGLite init T11 — reindex-multimodal.ts: hook resolveSchemaMultimodalDim() preflight BEFORE the reindex sweep. Mirrors the text-side contract from initPGLite — if the configured multimodal model can't produce a dim matching the schema column, fail loud here with a \`gbrain config set\` hint rather than mid-reindex with a vector(N) INSERT error. T12 — test/e2e/init-fresh-pglite.test.ts (NEW, 14 cases): subprocess-driven E2E verification of the bug-reporter's repro scenarios: - Happy path: OPENAI_API_KEY set → auto-pick OpenAI, persists config - D3 non-TTY fail-loud (with and without env-key typos) - D6 regression: bug-reporter's three no-op config keys all exit 1 with Levenshtein suggestions - D9 deferred-setup mode + gbrain import refusal (and --no-embed bypass) - D11 preflight refuses BEFORE any disk write - Explicit --embedding-model wins over env detection Each test uses its own throw-away GBRAIN_HOME for hermetic runs. * docs: env-detection + headless-install + close v0.32 picker TODO T13/T14 docs sync for v0.37.10.0: - docs/integrations/embedding-providers.md: TL;DR table refreshed to reflect ZE as v0.36 default; added "Init resolves your provider from env keys" section explaining the auto-pick → picker → fail-loud chain; added "If first import fails" troubleshooting block pointing at gbrain doctor instead of \`rm -rf ~/.gbrain\`. - docs/operations/headless-install.md (NEW): Docker/CI sequencing guide. Two acceptable patterns — provider key at build time (Pattern 1) or --no-embedding opt-in + runtime config (Pattern 2). Codex finding #11. - README.md: Troubleshooting section with one-paragraph repair hint and links to embedding-providers.md + headless-install.md. - TODOS.md: closed v0.32.x "interactive provider chooser" entry as SUPERSEDED by this wave. Added four follow-up entries (dedicated v0.36 broken-install migration, namespaced ext fields, runtime config-key audit, value-level Levenshtein on config set). * chore: bump version and changelog (v0.37.10.0) Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * fix(doctor): empty brain scores 100/100 + hermetic doctor-report-remote test Two fixes coupled because the test couldn't pass without the formula fix: src/core/pglite-engine.ts + src/core/postgres-engine.ts — empty brain (pageCount === 0) now gets FULL marks (100/100), not 0/100. Semantically an empty brain has no coverage problem to penalize — there's nothing to embed, nothing to link, nothing to orphan. Vacuous truth applies. The pre-fix "empty = 0" caused fresh-init brains to score as critically unhealthy on \`gbrain doctor\`, which was a structural surprise to users who'd just run init successfully. Same fix on both engines. test/brain-score-breakdown.test.ts — updated the "empty brain" assertion to match the new contract (was: 0/0/0/0/0/0; is: 100/35/25/15/15/10). test/doctor-report-remote.test.ts → renamed to .serial.test.ts and made hermetic. The pre-fix test pulled audit data from the host ~/.gbrain (reranker_health, sync_failures, etc.), which made the assertion non-deterministic depending on whoever ran the suite. Now isolates GBRAIN_HOME to a tempdir via beforeAll/afterAll; env mutation requires serial-quarantine per scripts/check-test-isolation.sh R1. Closes the master-state flake that was failing on every \`bun run test\` run regardless of my branch contents. * docs: update CLAUDE.md and TODOS.md for v0.37.10.0 empty-brain fix - CLAUDE.md: annotate src/core/pglite-engine.ts + src/core/postgres-engine.ts entries with v0.37.10.0 empty-brain 100/100 contract. Vacuous truth: an empty brain has no coverage to penalize, so getBrainScore returns full marks (35/25/15/15/10 breakdown) when pageCount === 0. Pre-fix 0/100 was structurally surprising on fresh init and caused the v0.37.8.0 doctor-report-remote.test.ts flake. - TODOS.md: mark P0 doctor-report-remote.test.ts:65 TODO completed (resolved by commit 9aa571f3's empty-brain-100/100 fix; test renamed to .serial.test.ts and made hermetic per scripts/check-test-isolation.sh R1). - llms-full.txt: regenerated from updated CLAUDE.md per CLAUDE.md "Auto-derived files" rule. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * fix(init): D5 persisted-config-wins on re-init + CI mechanical E2E Two coupled fixes for the v0.37.10.0 wave's interaction with CI's Tier-1 mechanical E2E suite (which runs without any embedding-provider env var). src/commands/init.ts — Honor D5 properly at resolveAIOptions entry. Pre-fix the env-detection branch fired on EVERY init regardless of persisted config. A non-TTY re-init with no env keys exited 1 (D3 fail-loud) even when ~/.gbrain/config.json already had embedding_model set from a prior successful init. Now resolveAIOptions reads loadConfig() first and seeds out.embedding_model / embedding_dimensions / expansion_model / chat_model from the file plane BEFORE running env detection. Also honors embedding_disabled (D9 sentinel) on re-init so deferred-setup brains don't re-trigger fail-loud. test/e2e/mechanical.test.ts:722 — Setup Journey's first init runs against a fresh DB with no persisted config. Pass --embedding-model explicitly (openai:text-embedding-3-large) so the preflight resolves offline. After this init writes config, subsequent inits in the file (RLS self-heal v24, RLS event-trigger probes, etc.) honor the persisted config via the D5 fix above. Verified locally: full test/e2e/mechanical.test.ts → 78 pass / 0 fail. --------- Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
298 lines
12 KiB
TypeScript
298 lines
12 KiB
TypeScript
/**
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* T12 — fresh PGLite init E2E for the v0.37 env-detection + picker + D6 wave.
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*
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* Subprocess-driven so we exercise the real CLI argv parsing, env handling,
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* exit codes, and config persistence — exactly the failure modes the bug
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* reporter hit. Each test gets its own throw-away `GBRAIN_HOME` so test runs
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* are hermetic.
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*
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* Scope covered:
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* - Happy path: OPENAI_API_KEY set → auto-pick OpenAI, persists embedding_model + dim
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* - Fail-loud non-TTY no-key (D3 regression)
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* - D6 regression: bug-reporter's three no-op config keys exit 1 with Levenshtein
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* - `--no-embedding` D9 opt-in: init succeeds with sentinel; gbrain import refuses
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* - D11 preflight: explicit bad --embedding-dimensions refuses BEFORE touching disk
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*
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* Picker interactive flow (multi-key TTY) needs the real-PTY harness from
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* test/helpers/cli-pty-runner.ts — that path is exercised by the unit tests
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* for `init-provider-picker.ts` (T4) plus the env-detection helpers (T5).
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* Adding PTY here is mostly orthogonal scope.
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*/
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import { describe, test, expect, beforeAll, afterAll } from 'bun:test';
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import { mkdtempSync, rmSync, existsSync, readFileSync, mkdirSync, writeFileSync } from 'fs';
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import { tmpdir } from 'os';
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import { join } from 'path';
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const REPO_ROOT = join(import.meta.dir, '..', '..');
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const CLI = `bun run ${REPO_ROOT}/src/cli.ts`;
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/** Run a CLI invocation with a clean GBRAIN_HOME + chosen env. Returns { stdout, stderr, exitCode }. */
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async function runCli(args: string[], opts: { env?: NodeJS.ProcessEnv; gbrainHome: string; cwd?: string; stdinIsTTY?: boolean } = { gbrainHome: '' }): Promise<{ stdout: string; stderr: string; exitCode: number }> {
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const { spawn } = await import('child_process');
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return new Promise((resolve) => {
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const child = spawn('bun', ['run', `${REPO_ROOT}/src/cli.ts`, ...args], {
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env: {
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// Start from a minimal env to avoid the ambient host env (which
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// might have OPENAI_API_KEY already set, contaminating our tests).
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PATH: process.env.PATH,
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HOME: process.env.HOME,
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// GBRAIN_HOME isolates state per test.
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GBRAIN_HOME: opts.gbrainHome,
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...opts.env,
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},
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stdio: ['ignore', 'pipe', 'pipe'],
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cwd: opts.cwd ?? REPO_ROOT,
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});
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let stdout = '';
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let stderr = '';
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child.stdout?.on('data', (b) => { stdout += b.toString(); });
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child.stderr?.on('data', (b) => { stderr += b.toString(); });
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child.on('close', (code) => {
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resolve({ stdout, stderr, exitCode: code ?? -1 });
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});
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});
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}
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function makeTempHome(): string {
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return mkdtempSync(join(tmpdir(), 'gbrain-e2e-init-'));
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}
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// ============================================================================
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describe('v0.37 T12 — fresh init env-detection (D1, D2, D3) + persistence (D5)', () => {
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let tmpHome: string;
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beforeAll(() => { tmpHome = makeTempHome(); });
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afterAll(() => { rmSync(tmpHome, { recursive: true, force: true }); });
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test('OPENAI_API_KEY auto-picks OpenAI, persists embedding_model + embedding_dimensions', async () => {
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const r = await runCli(['init', '--pglite'], {
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gbrainHome: tmpHome,
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env: { OPENAI_API_KEY: 'sk-test-only-for-init-resolution-NOT-CALLED' },
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});
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// Init may or may not succeed (depends on whether OpenAI key is real for
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// any side effect — but init.ts has no live embed call, just config
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// writes + schema). Assert the auto-pick stderr notice fired.
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expect(r.stderr).toMatch(/Detected OPENAI_API_KEY|Using openai:text-embedding-3-large/);
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expect(r.exitCode).toBe(0);
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// Config persisted with the right embedding fields.
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const cfgPath = join(tmpHome, '.gbrain', 'config.json');
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expect(existsSync(cfgPath)).toBe(true);
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const cfg = JSON.parse(readFileSync(cfgPath, 'utf-8'));
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expect(cfg.embedding_model).toBe('openai:text-embedding-3-large');
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expect(cfg.embedding_dimensions).toBe(1536);
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expect(cfg.engine).toBe('pglite');
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}, 240000);
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});
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// ============================================================================
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describe('v0.37 T12 — D3 non-TTY no-key fail-loud', () => {
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let tmpHome: string;
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beforeAll(() => { tmpHome = makeTempHome(); });
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afterAll(() => { rmSync(tmpHome, { recursive: true, force: true }); });
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test('--non-interactive with zero provider keys → exit 1 + paste-ready hint', async () => {
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const r = await runCli(['init', '--pglite', '--non-interactive'], {
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gbrainHome: tmpHome,
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env: {}, // no provider keys
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});
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expect(r.exitCode).toBe(1);
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// Fail-loud message includes the canonical env var list.
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expect(r.stderr).toContain('No embedding provider configured');
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expect(r.stderr).toContain('OPENAI_API_KEY');
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expect(r.stderr).toContain('ZEROENTROPY_API_KEY');
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expect(r.stderr).toContain('VOYAGE_API_KEY');
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// Suggests --no-embedding alternative.
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expect(r.stderr).toContain('--no-embedding');
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}, 60000);
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test('--non-interactive with env-key typo surfaces Levenshtein hint', async () => {
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const r = await runCli(['init', '--pglite', '--non-interactive'], {
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gbrainHome: tmpHome,
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env: { OPENAPI_API_KEY: 'sk-test-typo' },
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});
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expect(r.exitCode).toBe(1);
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// D13 typo detection: surfaces "did you mean OPENAI_API_KEY"
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expect(r.stderr).toMatch(/did you mean OPENAI_API_KEY/i);
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}, 60000);
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});
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// ============================================================================
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describe('v0.37 T12 — D6 regression: bug-reporter no-op keys exit 1 with Levenshtein', () => {
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let tmpHome: string;
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beforeAll(async () => {
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tmpHome = makeTempHome();
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// Bootstrap a brain so `gbrain config set` has somewhere to write.
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await runCli(['init', '--pglite', '--embedding-model', 'openai:text-embedding-3-large'], {
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gbrainHome: tmpHome,
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env: { OPENAI_API_KEY: 'sk-test' },
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});
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});
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afterAll(() => { rmSync(tmpHome, { recursive: true, force: true }); });
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test('gbrain config set embedding.provider openai → exit 1 with suggestion', async () => {
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const r = await runCli(['config', 'set', 'embedding.provider', 'openai'], {
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gbrainHome: tmpHome,
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env: { OPENAI_API_KEY: 'sk-test' },
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});
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expect(r.exitCode).toBe(1);
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expect(r.stderr).toContain('Unknown config key');
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}, 60000);
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test('gbrain config set embedding.model openai:text-embedding-3-large → suggests embedding_model', async () => {
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const r = await runCli(['config', 'set', 'embedding.model', 'openai:text-embedding-3-large'], {
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gbrainHome: tmpHome,
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env: { OPENAI_API_KEY: 'sk-test' },
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});
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expect(r.exitCode).toBe(1);
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expect(r.stderr).toMatch(/Did you mean "embedding_model"/);
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}, 60000);
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test('gbrain config set embedding.dimensions 1536 → suggests embedding_dimensions', async () => {
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const r = await runCli(['config', 'set', 'embedding.dimensions', '1536'], {
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gbrainHome: tmpHome,
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env: { OPENAI_API_KEY: 'sk-test' },
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});
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expect(r.exitCode).toBe(1);
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expect(r.stderr).toMatch(/Did you mean "embedding_dimensions"/);
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}, 60000);
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test('gbrain config set --force foo.bar baz → accepts with WARN', async () => {
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const r = await runCli(['config', 'set', 'foo.bar.unknown', 'somevalue', '--force'], {
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gbrainHome: tmpHome,
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env: { OPENAI_API_KEY: 'sk-test' },
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});
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expect(r.exitCode).toBe(0);
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expect(r.stderr).toContain('writing unknown key');
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}, 60000);
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test('gbrain config set search.mode conservative → accepts (known key)', async () => {
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const r = await runCli(['config', 'set', 'search.mode', 'conservative'], {
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gbrainHome: tmpHome,
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env: { OPENAI_API_KEY: 'sk-test' },
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});
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expect(r.exitCode).toBe(0);
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}, 60000);
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});
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// ============================================================================
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describe('v0.37 T12 — D9 --no-embedding deferred-setup mode', () => {
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let tmpHome: string;
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beforeAll(() => { tmpHome = makeTempHome(); });
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afterAll(() => { rmSync(tmpHome, { recursive: true, force: true }); });
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test('init --pglite --no-embedding succeeds with embedding_disabled sentinel', async () => {
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const r = await runCli(['init', '--pglite', '--no-embedding'], {
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gbrainHome: tmpHome,
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env: {}, // no provider keys — opt-in mode shouldn't care
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});
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expect(r.exitCode).toBe(0);
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expect(r.stdout).toContain('--no-embedding: deferred setup');
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const cfgPath = join(tmpHome, '.gbrain', 'config.json');
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const cfg = JSON.parse(readFileSync(cfgPath, 'utf-8'));
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expect(cfg.embedding_disabled).toBe(true);
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// Mutually exclusive with embedding_model being set.
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expect(cfg.embedding_model).toBeUndefined();
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}, 120000);
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test('gbrain import refuses with config-set hint after --no-embedding init', async () => {
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// Seed a markdown file to import.
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const repoDir = join(tmpHome, 'sample-repo');
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mkdirSync(repoDir, { recursive: true });
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writeFileSync(join(repoDir, 'test.md'), '# test\nhello world');
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const r = await runCli(['import', repoDir], {
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gbrainHome: tmpHome,
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env: {},
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});
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expect(r.exitCode).toBe(1);
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expect(r.stderr).toMatch(/deferred setup|no-embedding|gbrain config set embedding_model/);
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}, 120000);
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test('gbrain import --no-embed flag bypasses the refusal (chunks land without vectors)', async () => {
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// The CLI flag --no-embed (existing, separate from --no-embedding init flag)
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// should still work after --no-embedding init — import succeeds, just doesn't
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// embed. Validates we didn't accidentally block all imports.
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const repoDir = join(tmpHome, 'sample-repo');
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const r = await runCli(['import', repoDir, '--no-embed'], {
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gbrainHome: tmpHome,
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env: {},
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});
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expect(r.exitCode).toBe(0);
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}, 120000);
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});
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// ============================================================================
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describe('v0.37 T12 — D11 preflight refuses BEFORE disk writes', () => {
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let tmpHome: string;
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beforeAll(() => { tmpHome = makeTempHome(); });
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afterAll(() => { rmSync(tmpHome, { recursive: true, force: true }); });
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test('--embedding-dimensions 9999 (invalid for OpenAI text-3-large) refuses early', async () => {
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const r = await runCli([
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'init', '--pglite',
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'--embedding-model', 'openai:text-embedding-3-large',
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'--embedding-dimensions', '9999',
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], {
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gbrainHome: tmpHome,
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env: { OPENAI_API_KEY: 'sk-test' },
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});
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expect(r.exitCode).toBe(1);
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expect(r.stderr).toMatch(/Refusing to init|rejects custom dimensions 9999|accepts dimensions 1\.\.3072/);
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// No brain file written on failure path.
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expect(existsSync(join(tmpHome, 'brain.pglite'))).toBe(false);
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// No config persisted either (preflight runs BEFORE saveConfig).
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expect(existsSync(join(tmpHome, '.gbrain', 'config.json'))).toBe(false);
|
|
}, 60000);
|
|
|
|
test('--embedding-dimensions 99999 (above pgvector cap) refuses', async () => {
|
|
const r = await runCli([
|
|
'init', '--pglite',
|
|
'--embedding-model', 'openai:text-embedding-3-large',
|
|
'--embedding-dimensions', '99999',
|
|
], {
|
|
gbrainHome: tmpHome,
|
|
env: { OPENAI_API_KEY: 'sk-test' },
|
|
});
|
|
expect(r.exitCode).toBe(1);
|
|
expect(r.stderr).toMatch(/exceed pgvector|Refusing to init/);
|
|
}, 60000);
|
|
});
|
|
|
|
// ============================================================================
|
|
|
|
describe('v0.37 T12 — happy path with picker-bypassing explicit flag', () => {
|
|
let tmpHome: string;
|
|
|
|
beforeAll(() => { tmpHome = makeTempHome(); });
|
|
afterAll(() => { rmSync(tmpHome, { recursive: true, force: true }); });
|
|
|
|
test('explicit --embedding-model wins over env detection', async () => {
|
|
const r = await runCli([
|
|
'init', '--pglite',
|
|
'--embedding-model', 'voyage:voyage-3-large',
|
|
'--embedding-dimensions', '1024',
|
|
], {
|
|
gbrainHome: tmpHome,
|
|
// OpenAI key set, but explicit Voyage flag overrides per precedence chain.
|
|
env: { OPENAI_API_KEY: 'sk-test', VOYAGE_API_KEY: 'pa-test' },
|
|
});
|
|
expect(r.exitCode).toBe(0);
|
|
|
|
const cfg = JSON.parse(readFileSync(join(tmpHome, '.gbrain', 'config.json'), 'utf-8'));
|
|
expect(cfg.embedding_model).toBe('voyage:voyage-3-large');
|
|
expect(cfg.embedding_dimensions).toBe(1024);
|
|
}, 120000);
|
|
});
|