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Author SHA1 Message Date
Garry TanandClaude Fable 5 a42352081c test(extract): pin the version-arm stamp floor with an explicit regression test
The floor in extractStaleFromDB was only covered incidentally — the #1768
test's updated_at (2026-06-02) fell below the bumped VERSION_TS, but its
comment still says the date was chosen to sit ABOVE the watermark. A future
date 'repair' there would silently drop floor coverage. This test pins it
directly: pre-watermark page clears after --stale and stays cleared.
Verified fail-without-fix against master's extract.ts.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-22 11:59:09 -07:00
Garry TanandClaude Fable 5 070f4c5678 fix(extract): floor --stale stamp at LINK_EXTRACTOR_VERSION_TS so version bumps don't create permanently-stale pages
The version-ts bump in this PR exposed a latent conflict: extractStaleFromDB
stamps links_extracted_at = the page's read updated_at (#1768 µs fix), but a
page last edited BEFORE the new LINK_EXTRACTOR_VERSION_TS then lands below the
version watermark and the 'links_extracted_at < versionTs' arm re-flags it
stale on every run — an infinite re-extraction loop. Stamp
max(updated_at, versionTs); versionTs is always a past release date, so the
D4 concurrent-edit race guard still holds.

Fixes the test/extract-stale.test.ts CI failure on this branch.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-22 10:56:38 -07:00
Garry TanandClaude Fable 5 4b2df89935 fix(extract): resolve path-style wikilinks outside DIR_PATTERN + add ops/ to whitelist (#2576 bug 2)
- Add ops to DIR_PATTERN so [[ops/services/...]] wikilinks and bare
  ops/... slug refs are recognized as qualified entity references.
- queryBasenameIndex (the shared basename matcher behind
  resolveBasenameMatches, the FS resolver, and the doctor check) now
  falls back to the path tail when a path-style ref misses — before,
  normalizeBasename stripped slashes into a garbage key that could
  never hit the tail-keyed index.
- Bump LINK_EXTRACTOR_VERSION_TS so extract --stale re-sweeps
  previously-stamped pages with the new extraction logic.

Bugs 1+3 of #2576 are covered by PR #2717 (--stale nullResolver).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-21 14:33:45 -07:00
15 changed files with 85 additions and 380 deletions
-59
View File
@@ -820,10 +820,6 @@ export async function doctorReportRemote(engine: BrainEngine): Promise<DoctorRep
// v0.42.x (#1794, 4A): pool-budget nudge when GBRAIN_MAX_CONNECTIONS is set.
checks.push(await checkPoolBudget(engine));
// #2552: warn when an explicit embed-concurrency override fans out against
// a local single-slot embedding endpoint (silent backfill starvation).
checks.push(await checkEmbedConcurrency());
// v0.42.7 (#1696): link-extraction lag. Strictly SQL (single indexed COUNT),
// safe on the thin-client/remote path — remote operators on checkout-less
// Postgres brains are exactly who can't otherwise see the extraction backlog.
@@ -3819,61 +3815,6 @@ export function computePoolBudgetCheck(
};
}
/**
* #2552: warn when an explicit GBRAIN_EMBED_CONCURRENCY override fans out
* against a local single-slot embedding endpoint (Ollama / llama-server /
* localhost base URL). Requests serialize on the one loaded model, so N
* parallel pages multiply latency xN and can exceed the fetch timeout with
* no surfaced error the backfill silently starves. (When the env var is
* unset, embed auto-caps at LOCAL_EMBED_CONCURRENCY_CAP and this check
* reports ok.) Pure; exported for tests.
*/
export function computeEmbedConcurrencyCheck(
isLocalEndpoint: boolean,
envValue: string | undefined,
localCap: number,
): Check {
const name = 'embed_concurrency';
if (!isLocalEndpoint) {
return { name, status: 'ok', message: 'Embedding endpoint is not a local inference server — cloud concurrency defaults apply.' };
}
const parsed = envValue ? parseInt(envValue, 10) : NaN;
if (envValue && Number.isFinite(parsed) && parsed > localCap) {
return {
name,
status: 'warn',
message:
`GBRAIN_EMBED_CONCURRENCY=${parsed} against a local embedding endpoint. ` +
`Local inference servers serialize requests, so ${parsed} parallel pages multiply ` +
`latency x${parsed} and can exceed the fetch timeout — the embed backfill stalls ` +
`with no error. Unset GBRAIN_EMBED_CONCURRENCY (auto-caps at ${localCap}) or set it <= ${localCap}.`,
};
}
return {
name,
status: 'ok',
message: `Local embedding endpoint detected; embed concurrency capped at ${envValue ? parsed : localCap}.`,
};
}
/** Thin gateway/env wrapper over `computeEmbedConcurrencyCheck`. */
export async function checkEmbedConcurrency(): Promise<Check> {
try {
const { isLocalEmbeddingEndpoint, LOCAL_EMBED_CONCURRENCY_CAP } = await import('../core/ai/gateway.ts');
return computeEmbedConcurrencyCheck(
isLocalEmbeddingEndpoint(),
process.env.GBRAIN_EMBED_CONCURRENCY,
LOCAL_EMBED_CONCURRENCY_CAP,
);
} catch (err) {
return {
name: 'embed_concurrency',
status: 'ok',
message: `Skipped (${err instanceof Error ? err.message : String(err)})`,
};
}
}
/** Thin env/engine wrapper over `computePoolBudgetCheck`. */
export async function checkPoolBudget(_engine: BrainEngine): Promise<Check> {
try {
+8 -30
View File
@@ -1,6 +1,5 @@
import type { BrainEngine } from '../core/engine.ts';
import { embedBatch, currentEmbeddingSignature } from '../core/embedding.ts';
import { isLocalEmbeddingEndpoint, LOCAL_EMBED_CONCURRENCY_CAP } from '../core/ai/gateway.ts';
import type { ChunkInput } from '../core/types.ts';
import { chunkText } from '../core/chunkers/recursive.ts';
import { createProgress, type ProgressReporter } from '../core/progress.ts';
@@ -177,31 +176,6 @@ export class EmbeddingDimMismatchError extends Error {
}
}
/**
* #2552: resolve the bulk-embed worker count. Env override or the
* cloud-tuned default of 20 — but when the operator did NOT set
* GBRAIN_EMBED_CONCURRENCY and the embedding endpoint is a local inference
* server (Ollama / llama-server / localhost base URL), cap at
* LOCAL_EMBED_CONCURRENCY_CAP: 20 parallel pages against a single-slot
* server serialize on the one loaded model, multiply latency x20 past the
* fetch timeout, and starve the backfill with no surfaced error. An
* explicit env value always wins (`gbrain doctor` warns instead).
* Pacing only ever LOWERS concurrency (Codex P2).
*/
export function resolveEmbedConcurrency(paceMaxConcurrency?: number): number {
const envSet = !!process.env.GBRAIN_EMBED_CONCURRENCY;
const base = parseInt(process.env.GBRAIN_EMBED_CONCURRENCY || '20', 10);
let resolved = base;
if (!envSet && isLocalEmbeddingEndpoint() && base > LOCAL_EMBED_CONCURRENCY_CAP) {
resolved = LOCAL_EMBED_CONCURRENCY_CAP;
serr(
`[embed] local embedding endpoint detected — capping concurrency at ` +
`${LOCAL_EMBED_CONCURRENCY_CAP} (set GBRAIN_EMBED_CONCURRENCY to override)`,
);
}
return paceMaxConcurrency ? Math.min(resolved, paceMaxConcurrency) : resolved;
}
/**
* Pre-flight check: read the actual schema column dim and compare to the
* gateway's resolved dim. Throws `EmbeddingDimMismatchError` on mismatch
@@ -703,8 +677,10 @@ async function embedAll(
// Paced runs lower this to the resolved cap (the real lever vs pooler-slot
// starvation); unpaced keeps the env/default 20. Codex P2: only ever LOWER —
// never raise above an operator's existing env cap.
// #2552: local endpoints auto-cap — see resolveEmbedConcurrency.
const CONCURRENCY = resolveEmbedConcurrency(staleOpts?.paceMaxConcurrency);
const BASE_CONCURRENCY = parseInt(process.env.GBRAIN_EMBED_CONCURRENCY || '20', 10);
const CONCURRENCY = staleOpts?.paceMaxConcurrency
? Math.min(BASE_CONCURRENCY, staleOpts.paceMaxConcurrency)
: BASE_CONCURRENCY;
async function embedOnePage(page: typeof pages[number]) {
// #1737: bail before doing any work for this page if the run was aborted.
@@ -879,8 +855,10 @@ async function embedAllStale(
// Paced runs lower concurrency to the resolved cap (E-1: worker count IS the
// lever on this single pool, no separate permit). Codex P2: pacing only ever
// LOWERS concurrency — never raise above an operator's existing env cap.
// #2552: local endpoints auto-cap — see resolveEmbedConcurrency.
const CONCURRENCY = resolveEmbedConcurrency(staleOpts?.paceMaxConcurrency);
const BASE_CONCURRENCY = parseInt(process.env.GBRAIN_EMBED_CONCURRENCY || '20', 10);
const CONCURRENCY = staleOpts?.paceMaxConcurrency
? Math.min(BASE_CONCURRENCY, staleOpts.paceMaxConcurrency)
: BASE_CONCURRENCY;
const pacer = staleOpts?.pacer ?? createNoopPacer();
// D3 + D3a + D8: wall-clock budget. 30 min default; env override.
+9 -1
View File
@@ -1743,7 +1743,15 @@ async function extractStaleFromDB(
// `page.updated_at.toISOString()` — the JS Date is ms-truncated, so the
// µs-precision DB updated_at stayed strictly greater and the page never
// cleared on Postgres. Stamping the exact value makes them equal.
processedRefs.push({ slug: page.slug, source_id: page.source_id, extractedAt: page.updated_at_iso });
//
// Version-arm floor: a page last edited BEFORE LINK_EXTRACTOR_VERSION_TS
// would otherwise be stamped below the version watermark and stay
// permanently stale (`links_extracted_at < versionTs` re-fires every run).
// Stamp max(updated_at, versionTs) — versionTs is always a past release
// date, so a concurrent edit's now() still exceeds the stamp and D4 holds.
// Tie at ms precision picks updated_at_iso (its µs ≥ versionTs's .000000).
const stampTs = new Date(page.updated_at_iso) >= new Date(versionTs) ? page.updated_at_iso : versionTs;
processedRefs.push({ slug: page.slug, source_id: page.source_id, extractedAt: stampTs });
}
// Flush NON-swallowing (CDX-4): a throw here propagates out of the sweep so
-27
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@@ -683,33 +683,6 @@ export function getEmbeddingDimensions(): number {
return requireConfig().embedding_dimensions ?? DEFAULT_EMBEDDING_DIMENSIONS;
}
/**
* #2552: cap for parallel bulk-embed workers against a local inference
* server. A single-slot Ollama/llama-server serializes requests, so the
* cloud-tuned 20-worker fan-out multiplies latency x20 and blows past the
* fetch timeout with no surfaced error (the backfill silently starves).
*/
export const LOCAL_EMBED_CONCURRENCY_CAP = 2;
/**
* #2552: true when the configured embedding model routes to a local
* inference server — the `ollama` / `llama-server` recipes, or any recipe
* whose base URL was explicitly pointed at localhost. Bulk callers use this
* to pick CPU-safe concurrency defaults; `gbrain doctor` uses it to warn
* about an explicit cloud-sized override. Fail-open: unconfigured or
* unresolvable gateway → false (cloud behavior, the historical default).
*/
export function isLocalEmbeddingEndpoint(): boolean {
try {
const { recipe } = resolveRecipe(getEmbeddingModel());
if (recipe.id === 'ollama' || recipe.id === 'llama-server') return true;
const base = requireConfig().base_urls?.[recipe.id] ?? '';
return /\/\/(localhost|127\.0\.0\.1|\[::1\])(:|\/|$)/i.test(base);
} catch {
return false;
}
}
/**
* v0.28.11: returns the configured multimodal embedding model when set,
* or undefined if the brain falls back to `embedding_model` for multimodal
+3 -11
View File
@@ -29,17 +29,9 @@ export const ollama: Recipe = {
trust_custom_dims: true, // #2271: local models carry varied native dims
cost_per_1m_tokens_usd: 0,
price_last_verified: '2026-04-20',
// #2552: Ollama's true batch capacity depends on the locally loaded
// model + OLLAMA_NUM_PARALLEL, but the previous `no_batch_cap: true`
// meant a whole page went out in ONE request — on a CPU-only box that
// multiplies latency past the fetch timeout and the backfill starves
// with no surfaced error. Ollama doesn't return a recognizable
// token-limit error either, so the recursive-halving safety net never
// fires; a conservative static pre-split cap is the only guard.
// 4096 tokens x 2 chars/token ~= 8K chars per request (code-dense
// pages run ~2 chars/token, not the tiktoken-ish 4).
max_batch_tokens: 4096,
chars_per_token: 2,
// Ollama's batch capacity depends on the locally loaded model + the
// OLLAMA_NUM_PARALLEL config; no static cap to declare. v0.32 (#779).
no_batch_cap: true,
},
},
setup_hint: 'Install Ollama from https://ollama.ai, then `ollama pull nomic-embed-text` and `ollama serve`.',
-1
View File
@@ -141,7 +141,6 @@ export const OPS_CHECK_NAMES: ReadonlySet<string> = new Set([
'pgbouncer_prepare',
'pgvector',
'pool_budget',
'embed_concurrency',
'progressive_batch_audit_health',
'queue_health',
'reranker_health',
+13 -4
View File
@@ -28,7 +28,7 @@ import { ensureWellFormed } from './text-safe.ts';
* OR updated_at > links_extracted_at`. It is an ISO-8601 string (NOT a number) —
* the column is TIMESTAMPTZ and the predicate binds it as `::timestamptz`.
*/
export const LINK_EXTRACTOR_VERSION_TS = '2026-05-31T00:00:00Z';
export const LINK_EXTRACTOR_VERSION_TS = '2026-07-21T00:00:00Z';
// ─── Entity references ──────────────────────────────────────────
@@ -80,10 +80,10 @@ export type LinkResolutionType = 'qualified' | 'unqualified';
* Directory prefix whitelist. These are the top-level slug dirs the extractor
* recognizes as entity references. Upstream canonical + our extensions:
* - Gbrain canonical: people, companies, meetings, concepts, deal, civic, project, source, media, yc, projects
* - Our domain extensions: tech, finance, personal, openclaw (domain-organized wikis)
* - Our domain extensions: tech, finance, personal, openclaw, ops (domain-organized wikis)
* - Our entity prefix: entities (we kept some legacy entities/projects/ pages)
*/
const DIR_PATTERN = '(?:people|companies|meetings|concepts|deal|civic|project|projects|source|media|yc|tech|finance|personal|openclaw|entities)';
const DIR_PATTERN = '(?:people|companies|meetings|concepts|deal|civic|project|projects|source|media|yc|tech|finance|personal|openclaw|entities|ops)';
/**
* Match `[Name](path)` markdown links pointing to entity directories.
@@ -865,7 +865,16 @@ export function queryBasenameIndex(idx: Map<string, string[]>, name: string): st
if (!name || typeof name !== 'string') return [];
const trimmed = name.trim();
if (!trimmed) return [];
const hit = idx.get(trimmed) ?? idx.get(trimmed.toLowerCase()) ?? idx.get(normalizeBasename(trimmed));
let hit = idx.get(trimmed) ?? idx.get(trimmed.toLowerCase()) ?? idx.get(normalizeBasename(trimmed));
// Issue #2576 bug 2: path-style refs (`runbooks/2026-05-01-x`) from dirs
// outside DIR_PATTERN reach here, but normalizeBasename strips slashes
// into a garbage key (`runbooks2026-05-01-x`) that can never hit the
// tail-keyed index. Fall back to the path tail so qualified refs resolve
// by basename like everything else.
if (!hit && trimmed.includes('/')) {
const tail = trimmed.slice(trimmed.lastIndexOf('/') + 1).trim();
if (tail) hit = idx.get(tail) ?? idx.get(tail.toLowerCase()) ?? idx.get(normalizeBasename(tail));
}
return hit ? [...hit].sort(basenameSort) : [];
}
+7 -16
View File
@@ -56,7 +56,7 @@ import { GBrainError, PAGE_SORT_SQL, ENRICH_ORDER_SQL } from './types.ts';
import { finalizeLastSeen } from './chronicle/last-seen.ts';
import { computeAnomaliesFromBuckets } from './cycle/anomaly.ts';
import { resolveBoostMap, resolveHardExcludes } from './search/source-boost.ts';
import { buildSourceFactorCase, buildHardExcludeClause, buildVisibilityClause, buildRecencyComponentSql, buildBestPerPagePoolCte, buildOrFallbackWebsearchQuery, buildWebsearchQueryExpr } from './search/sql-ranking.ts';
import { buildSourceFactorCase, buildHardExcludeClause, buildVisibilityClause, buildRecencyComponentSql, buildBestPerPagePoolCte, buildOrFallbackWebsearchQuery } from './search/sql-ranking.ts';
import {
normalizeEngineColumn,
buildVectorCastFragment,
@@ -1591,8 +1591,6 @@ export class PGLiteEngine implements BrainEngine {
}
// v0.20.0 Cathedral II Layer 10 C1/C2: language + symbol-kind filters.
// #2380: slash-bearing queries match both the split-word and literal
// slash forms — see buildWebsearchQueryExpr in ./search/sql-ranking.ts.
const params: unknown[] = [query, innerLimit, limit, offset];
let extraFilter = '';
if (opts?.language) {
@@ -1632,7 +1630,6 @@ export class PGLiteEngine implements BrainEngine {
// FTS config name (e.g. 'english', 'pt_br'). Validated by getFtsLanguage()
// — safe to interpolate into raw SQL.
const ftsLang = getFtsLanguage();
const ftsQueryExpr = buildWebsearchQueryExpr(ftsLang, '$1', query);
const keywordSql =
`WITH ranked AS (
@@ -1640,14 +1637,14 @@ export class PGLiteEngine implements BrainEngine {
p.slug, p.id as page_id, p.title, p.type, p.source_id,
p.effective_date, p.effective_date_source,
cc.id as chunk_id, cc.chunk_index, cc.chunk_text, cc.chunk_source,
ts_rank(cc.search_vector, ${ftsQueryExpr}) * ${sourceFactorCase} AS score,
ts_rank(cc.search_vector, websearch_to_tsquery('${ftsLang}', $1)) * ${sourceFactorCase} AS score,
CASE WHEN p.updated_at < (
SELECT MAX(te.created_at) FROM timeline_entries te WHERE te.page_id = p.id
) THEN true ELSE false END AS stale
FROM content_chunks cc
JOIN pages p ON p.id = cc.page_id
JOIN sources s ON s.id = p.source_id
WHERE cc.search_vector @@ ${ftsQueryExpr} ${detailFilter}${extraFilter} ${hardExcludeClause} ${visibilityClause}
WHERE cc.search_vector @@ websearch_to_tsquery('${ftsLang}', $1) ${detailFilter}${extraFilter} ${hardExcludeClause} ${visibilityClause}
-- v0.27.1: hide image rows from default text-keyword search so
-- OCR text doesn't drown text-page hits. Image-similarity queries
-- run a separate vector path on embedding_image.
@@ -1715,10 +1712,7 @@ export class PGLiteEngine implements BrainEngine {
// FTS config name (e.g. 'english', 'pt_br'). Validated by getFtsLanguage()
// — safe to interpolate into raw SQL.
const ftsLang = getFtsLanguage();
const ftsQueryExpr = buildWebsearchQueryExpr(ftsLang, '$1', query);
// #2380: slash-bearing queries match both the split-word and literal
// slash forms — see buildWebsearchQueryExpr in ./search/sql-ranking.ts.
const params: unknown[] = [query, limit, offset];
let extraFilter = '';
if (opts?.type) {
@@ -1766,7 +1760,7 @@ export class PGLiteEngine implements BrainEngine {
COALESCE(rep.chunk_index, 0) as chunk_index,
COALESCE(rep.chunk_text, '') as chunk_text,
COALESCE(rep.chunk_source, 'compiled_truth') as chunk_source,
ts_rank_cd(p.search_vector, ${ftsQueryExpr}) * ${sourceFactorCase} AS score,
ts_rank_cd(p.search_vector, websearch_to_tsquery('${ftsLang}', $1)) * ${sourceFactorCase} AS score,
CASE WHEN p.updated_at < (
SELECT MAX(te.created_at) FROM timeline_entries te WHERE te.page_id = p.id
) THEN true ELSE false END AS stale
@@ -1781,7 +1775,7 @@ export class PGLiteEngine implements BrainEngine {
ORDER BY (cc.chunk_source = 'compiled_truth') DESC, cc.chunk_index ASC
LIMIT 1
) rep ON true
WHERE p.search_vector @@ ${ftsQueryExpr}
WHERE p.search_vector @@ websearch_to_tsquery('${ftsLang}', $1)
${extraFilter} ${hardExcludeClause} ${visibilityClause}
ORDER BY score DESC, p.id ASC
LIMIT $2 OFFSET $3`;
@@ -1968,8 +1962,6 @@ export class PGLiteEngine implements BrainEngine {
});
}
// #2380: slash-bearing queries match both the split-word and literal
// slash forms — see buildWebsearchQueryExpr in ./search/sql-ranking.ts.
const params: unknown[] = [query, limit, offset];
let extraFilter = '';
if (opts?.language) {
@@ -2004,21 +1996,20 @@ export class PGLiteEngine implements BrainEngine {
// FTS config name (e.g. 'english', 'pt_br'). Validated by getFtsLanguage()
// — safe to interpolate into raw SQL.
const ftsLang = getFtsLanguage();
const ftsQueryExpr = buildWebsearchQueryExpr(ftsLang, '$1', query);
const { rows } = await this.db.query(
`SELECT
p.slug, p.id as page_id, p.title, p.type, p.source_id,
p.effective_date, p.effective_date_source,
cc.id as chunk_id, cc.chunk_index, cc.chunk_text, cc.chunk_source,
ts_rank(cc.search_vector, ${ftsQueryExpr}) * ${sourceFactorCase} AS score,
ts_rank(cc.search_vector, websearch_to_tsquery('${ftsLang}', $1)) * ${sourceFactorCase} AS score,
CASE WHEN p.updated_at < (
SELECT MAX(te.created_at) FROM timeline_entries te WHERE te.page_id = p.id
) THEN true ELSE false END AS stale
FROM content_chunks cc
JOIN pages p ON p.id = cc.page_id
JOIN sources s ON s.id = p.source_id
WHERE cc.search_vector @@ ${ftsQueryExpr} ${detailFilter}${extraFilter} ${hardExcludeClause} ${visibilityClause}
WHERE cc.search_vector @@ websearch_to_tsquery('${ftsLang}', $1) ${detailFilter}${extraFilter} ${hardExcludeClause} ${visibilityClause}
ORDER BY score DESC
LIMIT $2 OFFSET $3`,
params
+7 -16
View File
@@ -64,7 +64,7 @@ import { ConnectionManager } from './connection-manager.ts';
import { logConnectionEvent } from './connection-audit.ts';
import { validateSlug, contentHash, rowToPage, rowToStalePage, rowToChunk, rowToSearchResult, parseEmbedding, tryParseEmbedding, takeRowToTake, takeHitRowToHit, isUndefinedTableError, warnOncePerProcess } from './utils.ts';
import { resolveBoostMap, resolveHardExcludes } from './search/source-boost.ts';
import { buildSourceFactorCase, buildHardExcludeClause, buildVisibilityClause, buildRecencyComponentSql, buildBestPerPagePoolCte, buildOrFallbackWebsearchQuery, buildWebsearchQueryExpr } from './search/sql-ranking.ts';
import { buildSourceFactorCase, buildHardExcludeClause, buildVisibilityClause, buildRecencyComponentSql, buildBestPerPagePoolCte, buildOrFallbackWebsearchQuery } from './search/sql-ranking.ts';
import { DEFAULT_EMBEDDING_MODEL, DEFAULT_EMBEDDING_DIMENSIONS } from './ai/defaults.ts';
import { DELETE_BATCH_SIZE } from './engine-constants.ts';
@@ -1691,8 +1691,6 @@ export class PostgresEngine implements BrainEngine {
const hardExcludePrefixes = resolveHardExcludes(opts?.exclude_slug_prefixes, opts?.include_slug_prefixes);
const hardExcludeClause = buildHardExcludeClause('p.slug', hardExcludePrefixes);
// #2380: slash-bearing queries match both the split-word and literal
// slash forms — see buildWebsearchQueryExpr in ./search/sql-ranking.ts.
const params: unknown[] = [query];
let typeClause = '';
if (type) {
@@ -1763,7 +1761,6 @@ export class PostgresEngine implements BrainEngine {
// FTS config name (e.g. 'english', 'pt_br'). Validated by getFtsLanguage()
// — safe to interpolate into raw SQL.
const ftsLang = getFtsLanguage();
const ftsQueryExpr = buildWebsearchQueryExpr(ftsLang, '$1', query);
const rawQuery = `
WITH ranked_chunks AS (
@@ -1771,11 +1768,11 @@ export class PostgresEngine implements BrainEngine {
p.slug, p.id as page_id, p.title, p.type, p.source_id,
p.effective_date, p.effective_date_source,
cc.id as chunk_id, cc.chunk_index, cc.chunk_text, cc.chunk_source,
ts_rank(cc.search_vector, ${ftsQueryExpr}) * ${sourceFactorCase} AS score
ts_rank(cc.search_vector, websearch_to_tsquery('${ftsLang}', $1)) * ${sourceFactorCase} AS score
FROM content_chunks cc
JOIN pages p ON p.id = cc.page_id
JOIN sources s ON s.id = p.source_id
WHERE cc.search_vector @@ ${ftsQueryExpr}
WHERE cc.search_vector @@ websearch_to_tsquery('${ftsLang}', $1)
${typeClause}
${typesClause}
${excludeSlugsClause}
@@ -1866,10 +1863,7 @@ export class PostgresEngine implements BrainEngine {
// FTS config name (e.g. 'english', 'pt_br'). Validated by getFtsLanguage()
// — safe to interpolate into raw SQL.
const ftsLang = getFtsLanguage();
const ftsQueryExpr = buildWebsearchQueryExpr(ftsLang, '$1', query);
// #2380: slash-bearing queries match both the split-word and literal
// slash forms — see buildWebsearchQueryExpr in ./search/sql-ranking.ts.
const params: unknown[] = [query];
let typeClause = '';
if (opts?.type) {
@@ -1929,7 +1923,7 @@ export class PostgresEngine implements BrainEngine {
COALESCE(rep.chunk_index, 0) as chunk_index,
COALESCE(rep.chunk_text, '') as chunk_text,
COALESCE(rep.chunk_source, 'compiled_truth') as chunk_source,
ts_rank_cd(p.search_vector, ${ftsQueryExpr}) * ${sourceFactorCase} AS score,
ts_rank_cd(p.search_vector, websearch_to_tsquery('${ftsLang}', $1)) * ${sourceFactorCase} AS score,
false AS stale
FROM pages p
JOIN sources s ON s.id = p.source_id
@@ -1942,7 +1936,7 @@ export class PostgresEngine implements BrainEngine {
ORDER BY (cc.chunk_source = 'compiled_truth') DESC, cc.chunk_index ASC
LIMIT 1
) rep ON true
WHERE p.search_vector @@ ${ftsQueryExpr}
WHERE p.search_vector @@ websearch_to_tsquery('${ftsLang}', $1)
${typeClause}
${typesClause}
${excludeSlugsClause}
@@ -2006,8 +2000,6 @@ export class PostgresEngine implements BrainEngine {
const hardExcludePrefixes = resolveHardExcludes(opts?.exclude_slug_prefixes, opts?.include_slug_prefixes);
const hardExcludeClause = buildHardExcludeClause('p.slug', hardExcludePrefixes);
// #2380: slash-bearing queries match both the split-word and literal
// slash forms — see buildWebsearchQueryExpr in ./search/sql-ranking.ts.
const params: unknown[] = [query];
let typeClause = '';
if (type) {
@@ -2068,19 +2060,18 @@ export class PostgresEngine implements BrainEngine {
// FTS config name (e.g. 'english', 'pt_br'). Validated by getFtsLanguage()
// — safe to interpolate into raw SQL.
const ftsLang = getFtsLanguage();
const ftsQueryExpr = buildWebsearchQueryExpr(ftsLang, '$1', query);
const rawQuery = `
SELECT
p.slug, p.id as page_id, p.title, p.type, p.source_id,
p.effective_date, p.effective_date_source,
cc.id as chunk_id, cc.chunk_index, cc.chunk_text, cc.chunk_source,
ts_rank(cc.search_vector, ${ftsQueryExpr}) * ${sourceFactorCase} AS score,
ts_rank(cc.search_vector, websearch_to_tsquery('${ftsLang}', $1)) * ${sourceFactorCase} AS score,
false AS stale
FROM content_chunks cc
JOIN pages p ON p.id = cc.page_id
JOIN sources s ON s.id = p.source_id
WHERE cc.search_vector @@ ${ftsQueryExpr}
WHERE cc.search_vector @@ websearch_to_tsquery('${ftsLang}', $1)
${typeClause}
${typesClause}
${excludeSlugsClause}
-22
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@@ -251,28 +251,6 @@ export function buildOrFallbackWebsearchQuery(query: string): string | null {
return tokens.join(' OR ');
}
/**
* #2380: FTS query expression for slash-bearing queries. Postgres' default
* text-search parser classifies `foo/bar` as a single `file`-alias lexeme —
* on BOTH the query side and the index side. So a raw `foo/bar` query only
* matched documents carrying the identical joined lexeme (literal paths),
* and a slash-split query only matches documents whose text had the words
* separated. Neither form alone covers both document shapes; OR the two
* parses so a slash query matches prose ("foo and bar", stemmed, AND
* semantics) AND literal slash forms ("src/core/x.ts") alike.
*
* Slash-free queries return the plain single-parse expression — byte-
* identical SQL and identical ts_rank to the historical behavior.
*
* `ftsLang` is validated by getFtsLanguage() (safe to interpolate);
* `param` is a `$N` placeholder, never user text.
*/
export function buildWebsearchQueryExpr(ftsLang: string, param: string, query: string): string {
const plain = `websearch_to_tsquery('${ftsLang}', ${param})`;
if (!query.includes('/')) return plain;
return `(websearch_to_tsquery('${ftsLang}', translate(${param}, '/', ' ')) || ${plain})`;
}
// ============================================================
// v0.29.1 — Recency component SQL builder
// ============================================================
@@ -28,8 +28,8 @@ describe('v0.32 #779: no_batch_cap suppresses the missing-max_batch_tokens warni
resetGateway();
});
test('LiteLLM and llama-server declare no_batch_cap: true', () => {
for (const id of ['litellm', 'llama-server']) {
test('Ollama, LiteLLM, llama-server all declare no_batch_cap: true', () => {
for (const id of ['ollama', 'litellm', 'llama-server']) {
const r = getRecipe(id);
expect(r, `${id} not registered`).toBeDefined();
expect(
@@ -39,18 +39,6 @@ describe('v0.32 #779: no_batch_cap suppresses the missing-max_batch_tokens warni
}
});
test('#2552: Ollama declares a conservative static batch cap, not no_batch_cap', () => {
// A CPU-only Ollama box wedges when a whole page ships in one request;
// Ollama never returns a token-limit error so the recursive-halving
// safety net can't fire. The pre-split cap is the only guard.
const r = getRecipe('ollama');
expect(r).toBeDefined();
const e = r!.touchpoints.embedding!;
expect(e.no_batch_cap).toBeUndefined();
expect(e.max_batch_tokens).toBe(4096);
expect(e.chars_per_token).toBe(2);
});
test('configureGateway does NOT warn for ollama/litellm/llama-server', () => {
warnSpy.mockClear();
resetGateway();
-118
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@@ -1,118 +0,0 @@
/**
* #2552: cloud-tuned embedding defaults silently wedge CPU-only local
* endpoints (Ollama). Three-part fix under test:
*
* 1. `isLocalEmbeddingEndpoint()` — gateway helper detecting local
* inference servers (ollama / llama-server recipes, localhost base URL).
* 2. `resolveEmbedConcurrency()` — embed auto-caps the 20-worker fan-out
* at LOCAL_EMBED_CONCURRENCY_CAP for local endpoints unless the
* operator set GBRAIN_EMBED_CONCURRENCY explicitly.
* 3. `computeEmbedConcurrencyCheck()` — doctor warns when an explicit env
* override fans out against a local endpoint.
*
* Serial: mutates process.env and the module-global gateway config.
*/
import { afterAll, afterEach, describe, expect, test } from 'bun:test';
import {
configureGateway,
resetGateway,
isLocalEmbeddingEndpoint,
LOCAL_EMBED_CONCURRENCY_CAP,
} from '../src/core/ai/gateway.ts';
import { resolveEmbedConcurrency } from '../src/commands/embed.ts';
import { computeEmbedConcurrencyCheck } from '../src/commands/doctor.ts';
const SAVED_ENV = process.env.GBRAIN_EMBED_CONCURRENCY;
afterEach(() => {
resetGateway();
if (SAVED_ENV === undefined) delete process.env.GBRAIN_EMBED_CONCURRENCY;
else process.env.GBRAIN_EMBED_CONCURRENCY = SAVED_ENV;
});
afterAll(() => {
resetGateway();
});
describe('#2552 isLocalEmbeddingEndpoint', () => {
test('false when the gateway is not configured (fail-open to cloud behavior)', () => {
resetGateway();
expect(isLocalEmbeddingEndpoint()).toBe(false);
});
test('true for the ollama recipe', () => {
configureGateway({ embedding_model: 'ollama:nomic-embed-text', env: {} });
expect(isLocalEmbeddingEndpoint()).toBe(true);
});
test('true for the llama-server recipe', () => {
configureGateway({ embedding_model: 'llama-server:my-gguf', env: {} });
expect(isLocalEmbeddingEndpoint()).toBe(true);
});
test('false for a cloud recipe', () => {
configureGateway({
embedding_model: 'openai:text-embedding-3-small',
env: { OPENAI_API_KEY: 'fake' },
});
expect(isLocalEmbeddingEndpoint()).toBe(false);
});
test('true when a cloud recipe base URL is explicitly pointed at localhost', () => {
configureGateway({
embedding_model: 'openai:text-embedding-3-small',
env: { OPENAI_API_KEY: 'fake' },
base_urls: { openai: 'http://localhost:8080/v1' },
});
expect(isLocalEmbeddingEndpoint()).toBe(true);
});
});
describe('#2552 resolveEmbedConcurrency', () => {
test('caps at LOCAL_EMBED_CONCURRENCY_CAP for a local endpoint when env is unset', () => {
delete process.env.GBRAIN_EMBED_CONCURRENCY;
configureGateway({ embedding_model: 'ollama:nomic-embed-text', env: {} });
expect(resolveEmbedConcurrency()).toBe(LOCAL_EMBED_CONCURRENCY_CAP);
});
test('explicit env override always wins, even against a local endpoint', () => {
process.env.GBRAIN_EMBED_CONCURRENCY = '10';
configureGateway({ embedding_model: 'ollama:nomic-embed-text', env: {} });
expect(resolveEmbedConcurrency()).toBe(10);
});
test('cloud endpoints keep the historical default of 20', () => {
delete process.env.GBRAIN_EMBED_CONCURRENCY;
configureGateway({ env: { OPENAI_API_KEY: 'fake' } });
expect(resolveEmbedConcurrency()).toBe(20);
});
test('pacing only ever lowers concurrency', () => {
delete process.env.GBRAIN_EMBED_CONCURRENCY;
configureGateway({ embedding_model: 'ollama:nomic-embed-text', env: {} });
expect(resolveEmbedConcurrency(1)).toBe(1);
expect(resolveEmbedConcurrency(16)).toBe(LOCAL_EMBED_CONCURRENCY_CAP);
});
});
describe('#2552 computeEmbedConcurrencyCheck (doctor)', () => {
test('ok for non-local endpoints', () => {
expect(computeEmbedConcurrencyCheck(false, '20', 2).status).toBe('ok');
});
test('warn when an explicit override exceeds the local cap', () => {
const check = computeEmbedConcurrencyCheck(true, '20', 2);
expect(check.status).toBe('warn');
expect(check.message).toContain('GBRAIN_EMBED_CONCURRENCY=20');
});
test('ok when env is unset against a local endpoint (auto-cap applies)', () => {
expect(computeEmbedConcurrencyCheck(true, undefined, 2).status).toBe('ok');
});
test('ok when the override is at or under the cap', () => {
expect(computeEmbedConcurrencyCheck(true, '2', 2).status).toBe('ok');
expect(computeEmbedConcurrencyCheck(true, '1', 2).status).toBe('ok');
});
});
+18
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@@ -209,6 +209,24 @@ describe('gbrain extract --stale', () => {
expect(usRows[0]?.eq).toBe(true);
});
test('version-arm floor: page edited BEFORE LINK_EXTRACTOR_VERSION_TS clears after --stale (issue #2576 bug 3)', async () => {
// A page whose updated_at predates the version watermark used to be
// stamped at its updated_at (< versionTs), so the version arm re-fired
// every run — permanently stale. The sweep now floors the stamp at
// versionTs. (The #1768 test above also covers this since the v0.42.x
// VERSION_TS bump moved its date below the watermark, but this pins the
// behavior explicitly so a date "repair" there can't drop coverage.)
await engine.putPage('people/alice', personPage('Alice'));
await engine.executeRaw(`UPDATE pages SET updated_at = '2000-01-01T00:00:00Z' WHERE slug = 'people/alice'`);
expect(await engine.countStalePagesForExtraction({ versionTs: LINK_EXTRACTOR_VERSION_TS })).toBe(1);
await runExtract(engine, ['--stale']);
// Pre-floor this stayed 1 forever (stamp < versionTs → version arm re-fires).
expect(await engine.countStalePagesForExtraction({ versionTs: LINK_EXTRACTOR_VERSION_TS })).toBe(0);
await runExtract(engine, ['--stale']);
expect(await engine.countStalePagesForExtraction({ versionTs: LINK_EXTRACTOR_VERSION_TS })).toBe(0);
});
test('CDX-4 (D2): a link-flush throw aborts the sweep and leaves pages UNSTAMPED', async () => {
await engine.putPage('people/alice', personPage('Alice'));
await engine.putPage('companies/acme', companyPage('Acme', '[Alice](people/alice) founded [Acme](companies/acme).'));
+18
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@@ -140,6 +140,15 @@ describe('extractEntityRefs', () => {
expect(wikiRefs[0].needsResolution).toBe(true);
});
test('recognizes ops/ qualified wikilinks (issue #2576 bug 2)', () => {
// `ops` was missing from DIR_PATTERN, so [[ops/...]] fell through to
// the generic 2c pass (needsResolution) instead of being a real ref.
const refs = extractEntityRefs('Deployed via [[ops/services/pointer-agent]].');
expect(refs.length).toBe(1);
expect(refs[0].slug).toBe('ops/services/pointer-agent');
expect(refs[0].needsResolution).toBeUndefined();
});
test('skips qualified-syntax tokens (those belong to 2a)', () => {
// [[wiki:topics/ai]] looks like 2a's qualified shape — even though
// it wouldn't satisfy DIR_PATTERN, 2c must not claim it either
@@ -1069,6 +1078,15 @@ describe('makeResolver — fallback chain', () => {
]);
});
test('resolveBasenameMatches: path-style ref falls back to the tail (issue #2576 bug 2)', async () => {
// normalizeBasename strips slashes, so `runbooks/2026-05-01-pointer-agent`
// used to normalize to a garbage key that never hit the tail-keyed index.
const engine = makeFakeEngineWithSlugs(['ops/changes/2026-05-01-pointer-agent']);
const r = makeResolver(engine);
expect(await r.resolveBasenameMatches!('runbooks/2026-05-01-pointer-agent'))
.toEqual(['ops/changes/2026-05-01-pointer-agent']);
});
test('resolveBasenameMatches: case-insensitive fallback', async () => {
const engine = makeFakeEngineWithSlugs(['companies/fast-weigh']);
const r = makeResolver(engine);
-61
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@@ -216,67 +216,6 @@ describe('PGLiteEngine: Search', () => {
expect(results.length).toBe(0);
});
// Regression (#2380): queries containing `/` used to bypass FTS AND
// semantics. Postgres' default text-search parser classifies `foo/bar` as
// a `file`-alias token mapped to the `simple` dictionary, so it became a
// single un-stemmed lexeme `'foo/bar'` that never matches indexed text —
// the primary FTS pass returned 0 and the OR fallback took over, matching
// pages that contain EITHER term. searchKeyword/searchTitles now normalize
// `/` to whitespace before websearch_to_tsquery parses, so the primary
// AND pass matches directly.
test('searchKeyword: slash query matches with AND semantics, not OR fallback', async () => {
// Decoy shares only ONE of the two query terms ('enterprise').
await engine.putPage('concepts/enterprise-pricing', {
type: 'concept', title: 'Widget Pricing',
compiled_truth: 'Enterprise pricing for widgets.',
});
await engine.upsertChunks('concepts/enterprise-pricing', [
{ chunk_index: 0, chunk_text: 'Enterprise pricing for widgets', chunk_source: 'compiled_truth' },
]);
// Both terms co-occur only in the novamind chunk. Pre-fix this returned
// BOTH pages (primary pass zero-hit → OR fallback); post-fix the primary
// AND pass returns exactly the co-occurrence page.
const results = await engine.searchKeyword('NovaMind/enterprise');
expect(results.length).toBe(1);
expect(results[0].slug).toBe('companies/novamind');
});
test('searchTitles: slash query matches with AND semantics, not OR fallback', async () => {
await engine.putPage('companies/novamind-enterprise', {
type: 'company', title: 'NovaMind Enterprise Platform',
compiled_truth: 'Placeholder body.',
});
await engine.putPage('guides/enterprise-sales', {
type: 'concept', title: 'Enterprise Sales Guide',
compiled_truth: 'Placeholder body.',
});
// Pre-fix: `NovaMind/Enterprise` parsed as one file-alias lexeme → the
// primary title pass returned 0 and the OR fallback matched BOTH titles.
const results = await engine.searchTitles('NovaMind/Enterprise');
expect(results.length).toBe(1);
expect(results[0].slug).toBe('companies/novamind-enterprise');
});
test('searchKeyword: slash query still matches the literal slash form (file paths)', async () => {
// The INDEX side also emits the joined file-alias lexeme for literal
// `foo/bar` text, so a query normalized to split words alone would go
// blind to documents containing the literal slash form (paths, URLs).
// buildWebsearchQueryExpr ORs both parses; this pins the raw arm.
await engine.putPage('runbooks/widget-deploy', {
type: 'concept', title: 'Widget Deploy Runbook',
compiled_truth: 'Runbook for the acme/widget deployment pipeline.',
});
await engine.upsertChunks('runbooks/widget-deploy', [
{ chunk_index: 0, chunk_text: 'Runbook for the acme/widget deployment pipeline', chunk_source: 'compiled_truth' },
]);
const results = await engine.searchKeyword('acme/widget');
expect(results.length).toBe(1);
expect(results[0].slug).toBe('runbooks/widget-deploy');
});
test('tsvector trigger populates search_vector on insert', async () => {
// Verify the PL/pgSQL trigger fires and content_chunks.search_vector is
// populated from chunk_text. v0.20.0 Cathedral II Layer 3 moved FTS from