Compare commits

..
Author SHA1 Message Date
08f2397615 fix(webhook): extract links for incremental push syncs (#2849)
GitHub webhook + sync-trigger 'sync' jobs never opted into extraction:
the standalone sync handler defaults noExtract to TRUE, so webhook-
imported pages advanced the source bookmark with links_extracted_at
unstamped — and nothing behind a standalone job ever swept them (the
autopilot cycle's extract phase only walks that cycle's changedSlugs).

Fix, both halves of the issue:
- webhook + sync-trigger payloads pass noExtract:false so normal
  incremental pushes get sync's inline link/timeline extraction.
- >100-file deferral branch: performSync surfaces extractDeferred, and
  the sync job handler queues a source-scoped extract{stale:true}
  follow-up job (idempotent sweep; extract handler gains a stale mode
  backed by the same extractStaleFromDB core as `gbrain extract --stale`).

Tests: new sync-large-deferral-extract.serial.test.ts drives a real
101-file incremental sync end-to-end (deferral flag → queued follow-up →
stale sweep recovers links + watermark); webhook payload contract test +
sync-trigger noExtract assertion salvaged from #2850.

Fixes #2849
Takeover of #2850

Co-authored-by: patentsong <patentsong@users.noreply.github.com>
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-21 14:38:43 -07:00
18 changed files with 251 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.
+1 -1
View File
@@ -1651,7 +1651,7 @@ async function extractTimelineFromDB(
* make re-extraction idempotent). EVERY processed page is stamped, including
* zero-link pages — they WERE processed.
*/
async function extractStaleFromDB(
export async function extractStaleFromDB(
engine: BrainEngine,
opts: {
dryRun: boolean;
+39 -1
View File
@@ -1479,7 +1479,31 @@ export async function registerBuiltinHandlers(
embedSkipReason = 'auto_embed_disabled';
}
return { ...result, embed_job_id: embedJobId, embed_skip_reason: embedSkipReason };
// #2849: large-sync extract deferral follow-up. performSync skips inline
// link/timeline extraction when totalChanges > 100, leaving
// links_extracted_at unstamped. A standalone sync job (webhook push,
// sync trigger) has no autopilot extract phase behind it, so the pages
// would stay extraction-stale until a manual `gbrain extract --stale`.
// Queue a source-scoped stale sweep instead. Best-effort + idempotent:
// a duplicate sweep finds 0 stale pages and no-ops.
let extractJobId: number | null = null;
if (result.extractDeferred) {
try {
const { MinionQueue } = await import('../core/minions/queue.ts');
const queue = new MinionQueue(engine);
const followUp = await queue.add(
'extract',
{ stale: true, ...(sourceId ? { sourceId } : {}) },
{
idempotency_key: `sync-extract-stale:${sourceId ?? 'default'}:${Math.floor(Date.now() / 30_000)}`,
maxWaiting: 1,
},
);
extractJobId = followUp.id;
} catch { /* best-effort: extract --stale sweeps it later */ }
}
return { ...result, embed_job_id: embedJobId, embed_skip_reason: embedSkipReason, extract_stale_job_id: extractJobId };
});
registerBuiltinJob(worker, engine, 'embed', async (job) => {
@@ -1652,6 +1676,20 @@ export async function registerBuiltinHandlers(
});
worker.register('extract', async (job) => {
// #2849: stale-sweep mode — the sync handler's large-sync deferral
// follow-up. DB-source (reads page content from the DB, so it runs on
// checkout-less brains), source-scopable, idempotent. Same core as
// `gbrain extract --stale`.
if (job.data.stale === true) {
const { extractStaleFromDB } = await import('./extract.ts');
return await extractStaleFromDB(engine, {
dryRun: !!job.data.dryRun,
jsonMode: false,
includeFrontmatter: false,
sourceIdFilter: typeof job.data.sourceId === 'string' ? job.data.sourceId : undefined,
catchUp: false,
});
}
const { runExtractCore } = await import('./extract.ts');
const mode = (typeof job.data.mode === 'string' && ['links', 'timeline', 'all'].includes(job.data.mode))
? (job.data.mode as 'links' | 'timeline' | 'all')
+8 -2
View File
@@ -2146,8 +2146,13 @@ export async function runServeHttp(engine: BrainEngine, options: ServeHttpOption
// Other event types (ping, pull_request, etc.) return 202 'ignored'
// so GitHub doesn't retry.
// D15.5: HMAC compare uses the shared safeHexEqual helper.
// D18: submits 'sync' job with auto_embed_backfill=true and priority -10
// (above autopilot's 0).
// D18: submits 'sync' job with extraction + auto_embed_backfill enabled and
// priority -10 (above autopilot's 0). noExtract:false opts normal
// incremental pushes into sync's inline link/timeline extraction (#2849
// — the standalone sync handler defaults noExtract to TRUE, which left
// webhook-imported pages permanently stale). Large (>100 file) pushes
// defer inline extract; the sync handler queues an extract --stale
// follow-up job for that branch.
// ---------------------------------------------------------------------------
const githubWebhookLimiter = rateLimit({
windowMs: 60_000,
@@ -2267,6 +2272,7 @@ export async function runServeHttp(engine: BrainEngine, options: ServeHttpOption
'sync',
{
sourceId: source.id,
noExtract: false,
auto_embed_backfill: true,
embed_reason: 'webhook',
},
+19 -1
View File
@@ -222,6 +222,14 @@ export interface SyncResult {
* everything," the exact misdiagnosis in the #1794 recurrence report.
*/
bankedFiles?: number;
/**
* #2849: true when extraction was REQUESTED (noExtract false) but this sync
* skipped inline link/timeline extraction because totalChanges > 100 (the
* #1794 large-sync deferral). links_extracted_at stays unstamped for the
* imported pages. The standalone `sync` job handler queues a source-scoped
* `extract --stale` follow-up when set; CLI runs print the manual hint.
*/
extractDeferred?: boolean;
}
/**
@@ -1379,6 +1387,10 @@ See also:
{
sourceId: sourceIdArg,
repoPath: source.local_path,
// #2849: opt in to inline extraction — the standalone sync handler
// defaults noExtract to TRUE (dedupe for doctor's [sync, extract]
// remediation plan), which would leave triggered syncs extraction-stale.
noExtract: false,
auto_embed_backfill: true,
embed_reason: 'sync_trigger',
},
@@ -3287,11 +3299,16 @@ async function performSyncInner(engine: BrainEngine, opts: SyncOpts): Promise<Sy
// the stale sweep scans the whole source, so banked-across-runs pages are
// covered regardless.
const extractOpts = opts.sourceId ? { sourceId: opts.sourceId } : undefined;
let extractDeferred = false;
if (!opts.noExtract && totalChanges > 100 && pagesAffected.length > 0) {
// #2849: surface the deferral to callers. A standalone sync job (webhook
// push, sync trigger) has no autopilot extract phase behind it, so the
// job handler queues an `extract --stale` follow-up off this flag.
extractDeferred = true;
slog(
` Large sync: deferring link/timeline extraction. ` +
`Run 'gbrain extract --stale${opts.sourceId ? ` --source-id ${opts.sourceId}` : ''}' ` +
`(or let the autopilot cycle's extract phase sweep it).`,
`(sync jobs queue this follow-up automatically).`,
);
}
if (!opts.noExtract && totalChanges <= 100 && pagesAffected.length > 0) {
@@ -3400,6 +3417,7 @@ async function performSyncInner(engine: BrainEngine, opts: SyncOpts): Promise<Sy
chunksCreated,
embedded,
pagesAffected,
extractDeferred,
};
}
-27
View File
@@ -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',
+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}
${excludeSlugsClause}
-22
View File
@@ -251,28 +251,6 @@ export function buildOrFallbackWebsearchQuery(query: string): string | null {
return tokens.join(' OR ');
}
/**
* #2380: FTS query expression for slash-bearing queries. Postgres' default
* text-search parser classifies `foo/bar` as a single `file`-alias lexeme
* on BOTH the query side and the index side. So a raw `foo/bar` query only
* matched documents carrying the identical joined lexeme (literal paths),
* and a slash-split query only matches documents whose text had the words
* separated. Neither form alone covers both document shapes; OR the two
* parses so a slash query matches prose ("foo and bar", stemmed, AND
* semantics) AND literal slash forms ("src/core/x.ts") alike.
*
* Slash-free queries return the plain single-parse expression byte-
* identical SQL and identical ts_rank to the historical behavior.
*
* `ftsLang` is validated by getFtsLanguage() (safe to interpolate);
* `param` is a `$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
View File
@@ -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');
});
});
-61
View File
@@ -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
+23
View File
@@ -16,6 +16,7 @@
*/
import { describe, test, expect } from 'bun:test';
import { createHmac } from 'node:crypto';
import { readFileSync } from 'node:fs';
import { safeHexEqual } from '../src/core/timing-safe.ts';
const GITHUB_SECRET = 'super-secret-webhook-key';
@@ -123,3 +124,25 @@ describe('Branch ref construction (D5)', () => {
expect(pushedRef === `refs/heads/${trackedBranch}`).toBe(false);
});
});
describe('Webhook sync job extraction contract (#2849)', () => {
test('opts into extraction before the pushed commit is consumed', () => {
const serveSource = readFileSync(
new URL('../src/commands/serve-http.ts', import.meta.url),
'utf8',
);
const routeStart = serveSource.indexOf("'/webhooks/github'");
const queueStart = serveSource.indexOf('const job = await queue.add(', routeStart);
const responseStart = serveSource.indexOf('res.status(202)', queueStart);
expect(routeStart).toBeGreaterThanOrEqual(0);
expect(queueStart).toBeGreaterThan(routeStart);
expect(responseStart).toBeGreaterThan(queueStart);
const routeSource = serveSource.slice(queueStart, responseStart);
const payload = routeSource.match(
/queue\.add\(\s*'sync',\s*\{([\s\S]*?)\}\s*,\s*\{/,
);
expect(payload).not.toBeNull();
expect(payload?.[1]).toMatch(/\bnoExtract:\s*false\b/);
});
});
@@ -0,0 +1,130 @@
/**
* #2849 large-sync extract deferral queues an `extract --stale` follow-up.
*
* performSync's incremental path skips inline link/timeline extraction when
* totalChanges > 100 (the #1794 large-sync deferral), leaving
* links_extracted_at unstamped. Pre-fix, a standalone sync job (webhook push,
* `gbrain sync trigger`) had NOTHING behind it to sweep those pages the
* autopilot cycle's extract phase only walks that cycle's changedSlugs so a
* large webhook push left extraction permanently stale until a manual
* `gbrain extract --stale`.
*
* Pins:
* (a) performSync surfaces `extractDeferred: true` on the >100 branch and
* leaves the pages unstamped/unlinked.
* (b) the `sync` job handler queues an `extract` job with
* { stale: true, sourceId? } when extractDeferred is set.
* (c) the `extract` handler's stale mode actually sweeps: links created +
* watermark stamped (end-to-end recovery, no manual step).
*
* Marked .serial.test.ts spawns git subprocesses + shares one PGLite engine.
*/
import { describe, test, expect, beforeAll, afterAll } from 'bun:test';
import { mkdtempSync, writeFileSync, rmSync, mkdirSync } from 'fs';
import { execSync } from 'child_process';
import { tmpdir } from 'os';
import { join } from 'path';
import { PGLiteEngine } from '../src/core/pglite-engine.ts';
import { MinionWorker } from '../src/core/minions/worker.ts';
import { MinionQueue } from '../src/core/minions/queue.ts';
import { registerBuiltinHandlers } from '../src/commands/jobs.ts';
let engine: PGLiteEngine;
let worker: MinionWorker;
let repoPath: string;
function git(cmd: string): void { execSync(cmd, { cwd: repoPath, stdio: 'pipe' }); }
describe('#2849 — large sync defers extract and queues a stale sweep', () => {
beforeAll(async () => {
engine = new PGLiteEngine();
await engine.connect({});
await engine.initSchema();
worker = new MinionWorker(engine, { queue: 'test' });
await registerBuiltinHandlers(worker, engine, { quiet: true });
repoPath = mkdtempSync(join(tmpdir(), 'gbrain-large-defer-'));
git('git init');
git('git config user.email "t@t.com"');
git('git config user.name "T"');
mkdirSync(join(repoPath, 'people'), { recursive: true });
mkdirSync(join(repoPath, 'notes'), { recursive: true });
writeFileSync(join(repoPath, 'people/alice.md'), [
'---', 'type: person', 'title: Alice', '---', '', 'Alice is a founder.',
].join('\n'));
git('git add -A && git commit -m "initial"');
// Seed: full first sync imports the anchor page + sets last_commit.
const { performSync } = await import('../src/commands/sync.ts');
await performSync(engine, { repoPath, full: true, noPull: true, noEmbed: true });
// Second commit: 101 new pages → incremental totalChanges > 100.
for (let i = 0; i < 101; i++) {
writeFileSync(join(repoPath, `notes/n${i}.md`), [
'---', 'type: note', `title: Note ${i}`, '---', '',
`[Alice](people/alice) appears in note ${i}.`,
].join('\n'));
}
git('git add -A && git commit -m "add 101 pages"');
}, 120_000);
afterAll(async () => {
if (repoPath) rmSync(repoPath, { recursive: true, force: true });
if (engine) await engine.disconnect();
}, 60_000);
test('sync handler defers inline extract and queues extract{stale} follow-up; stale sweep recovers', async () => {
const syncHandler = (worker as unknown as { handlers: Map<string, (job: unknown) => Promise<unknown>> })
.handlers.get('sync');
expect(syncHandler).toBeDefined();
// Same payload shape the webhook submits (minus embed backfill noise).
const result = await syncHandler!({
data: { repoPath, noExtract: false, noPull: true, auto_embed_backfill: false },
signal: { aborted: false },
updateProgress: async () => {},
}) as { status: string; extractDeferred?: boolean; extract_stale_job_id?: number | null };
expect(result.status).toBe('synced');
// (a) inline extract was deferred, pages left stale.
expect(result.extractDeferred).toBe(true);
const staleBefore = await engine.countStalePagesForExtraction();
expect(staleBefore).toBeGreaterThan(100);
expect(await engine.getLinks('notes/n0')).toHaveLength(0);
// (b) a follow-up extract job with stale:true was queued.
expect(result.extract_stale_job_id).toBeGreaterThan(0);
const queue = new MinionQueue(engine);
const extractJobs = await queue.getJobs({ name: 'extract', limit: 5 });
expect(extractJobs.length).toBe(1);
expect((extractJobs[0].data as { stale: boolean }).stale).toBe(true);
// (c) running the extract handler's stale mode recovers: links + stamps.
const extractHandler = (worker as unknown as { handlers: Map<string, (job: unknown) => Promise<unknown>> })
.handlers.get('extract');
await extractHandler!({
data: extractJobs[0].data,
signal: { aborted: false },
updateProgress: async () => {},
});
const links = await engine.getLinks('notes/n0');
expect(links.some(l => l.to_slug === 'people/alice')).toBe(true);
const rows = await engine.executeRaw<{ links_extracted_at: string | null }>(
`SELECT links_extracted_at FROM pages WHERE slug = 'notes/n0'`,
);
expect(rows[0]?.links_extracted_at).not.toBeNull();
}, 180_000);
test('sub-threshold sync does NOT set extractDeferred (no spurious follow-up)', async () => {
// One more small commit → inline extract path, no deferral.
writeFileSync(join(repoPath, 'notes/small.md'), [
'---', 'type: note', 'title: Small', '---', '', 'No big deal.',
].join('\n'));
git('git add -A && git commit -m "one small page"');
const { performSync } = await import('../src/commands/sync.ts');
const result = await performSync(engine, { repoPath, noPull: true, noEmbed: true });
expect(result.status).toBe('synced');
expect(result.extractDeferred).toBeFalsy();
}, 60_000);
});
+4
View File
@@ -100,6 +100,10 @@ describe('runSyncTrigger', () => {
const job = jobs[0];
expect(job.priority).toBe(-10);
expect((job.data as { sourceId: string }).sourceId).toBe('default');
// #2849: opt in to inline extraction — the standalone sync handler
// defaults noExtract to TRUE, which would leave triggered syncs
// extraction-stale.
expect((job.data as { noExtract: boolean }).noExtract).toBe(false);
expect((job.data as { auto_embed_backfill: boolean }).auto_embed_backfill).toBe(true);
});