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synced 2026-08-17 18:32:41 +00:00
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1
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
583975dee8 |
@@ -197,7 +197,7 @@ export interface SyncResult {
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/** Pages re-embedded during this sync's auto-embed step. 0 if --no-embed or skipped. */
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embedded: number;
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pagesAffected: string[];
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failedFiles?: number; // count of parse failures (Bug 9)
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failedFiles?: number; // count of per-file import/sync failures (Bug 9)
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/**
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* v0.41.13.0 partial-sync fields (only set when status === 'partial').
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*
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@@ -3183,7 +3183,7 @@ async function performSyncInner(engine: BrainEngine, opts: SyncOpts): Promise<Sy
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await clearOpCheckpoint(engine, ckpt.target);
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};
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// issue #1939 adversarial finding #1: a file that failed to parse (open ledger
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// issue #1939 adversarial finding #1: a file that failed to import (open ledger
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// row) and is then deleted/renamed-away never re-enters failedFiles and never
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// imports, so its row would never clear and would age doctor to a permanent
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// FAIL. Treat removed paths as resolved so the ledger self-heals.
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@@ -3215,9 +3215,9 @@ async function performSyncInner(engine: BrainEngine, opts: SyncOpts): Promise<Sy
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} else {
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const fileFailCount = failedFiles.filter(f => isSkippablePath(f.path)).length;
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serr(
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`\nSync blocked: ${fileFailCount} file(s) failed to parse:\n` +
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`\nSync blocked: ${fileFailCount} file(s) failed to import:\n` +
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`${codeBreakdown}\n\n` +
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`Fix the frontmatter and re-run, or use 'gbrain sync --skip-failed' to ` +
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`Fix the listed file errors and re-run, or use 'gbrain sync --skip-failed' to ` +
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`acknowledge and move on. A file that keeps failing auto-skips after ` +
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`${resolveAutoSkipThreshold()} consecutive syncs.`,
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);
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@@ -5355,7 +5355,7 @@ function printSyncResult(result: SyncResult, sink: NodeJS.WriteStream = process.
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case 'dry_run':
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break; // already printed in performSync
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case 'blocked_by_failures':
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write(`Sync BLOCKED at ${result.toCommit.slice(0, 8)}: ${result.failedFiles ?? 0} file(s) failed to parse.`);
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write(`Sync BLOCKED at ${result.toCommit.slice(0, 8)}: ${result.failedFiles ?? 0} file(s) failed to import.`);
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write(` See ~/.gbrain/sync-failures.jsonl for details, or run 'gbrain doctor'.`);
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write(` Fix the files then re-run 'gbrain sync', or 'gbrain sync --skip-failed' to move on.`);
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break;
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@@ -1,100 +1,8 @@
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import type { Recipe } from '../types.ts';
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/**
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* MiniMax transport shim (#1977). MiniMax's `/v1/embeddings` endpoint is NOT
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* OpenAI-compatible at the wire level despite the recipe's
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* `implementation: 'openai-compatible'`:
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* - Request: requires `texts` (the AI SDK sends `input`) plus an optional
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* `type: 'db' | 'query'` asymmetric-retrieval field, and rejects OpenAI's
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* `encoding_format`.
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* - Response: returns `{vectors: number[][], total_tokens}` where the AI
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* SDK's Zod schema expects `{data: [{embedding, index}], usage}`.
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*
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* Chat (`/chat/completions`) IS OpenAI-compatible, and this same fetch is
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* applied to every openai-compatible touchpoint by `applyOpenAICompatConfig`,
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* so everything outside the embeddings path passes through untouched — and
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* the response rewrite parses via `resp.clone()` only (never consume the
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* body of a response we return as-is; the DeepSeek shim rule). Fail-open:
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* any rewrite error returns the original request/response.
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*
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* @internal exported for tests.
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*/
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// Cast through `unknown` because Bun's `typeof fetch` carries a `preconnect`
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// member the arrow function does not implement (matches deepseek.ts).
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export const minimaxCompatFetch = (async (
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input: RequestInfo | URL,
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init?: RequestInit,
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): Promise<Response> => {
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const url =
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typeof input === 'string' ? input : input instanceof URL ? input.href : input.url;
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const isEmbeddings = url.includes('/embeddings');
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// OUTBOUND (embeddings only): `input` → `texts`, default `type: 'db'`
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// (the recipe's documented symmetric default — the AI SDK adapter strips
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// the `type` threaded via providerOptions before it reaches the wire,
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// same class as #1400), and drop `encoding_format` (not a MiniMax param).
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if (isEmbeddings && init?.body && typeof init.body === 'string') {
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try {
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const parsed = JSON.parse(init.body);
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if (
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parsed && typeof parsed === 'object' &&
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parsed.input !== undefined && parsed.texts === undefined
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) {
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parsed.texts = Array.isArray(parsed.input) ? parsed.input : [parsed.input];
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delete parsed.input;
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delete parsed.encoding_format;
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if (parsed.type === undefined) parsed.type = 'db';
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// Drop Content-Length so fetch recomputes from the new body.
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const headers = new Headers(init.headers ?? {});
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headers.delete('content-length');
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init = { ...init, body: JSON.stringify(parsed), headers };
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}
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} catch {
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// Body wasn't JSON — pass through untouched.
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}
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}
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const res = await fetch(input as any, init as any);
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// INBOUND (embeddings only): `{vectors: [[...]]}` → `{data: [{embedding}]}`.
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// Anything else (chat completions, MiniMax base_resp errors, non-JSON)
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// returns the ORIGINAL response with its body unread.
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if (!isEmbeddings || !res.ok) return res;
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const ctype = res.headers.get('content-type') ?? '';
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if (!ctype.toLowerCase().includes('application/json')) return res;
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try {
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const json = await res.clone().json();
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if (!json || typeof json !== 'object' || !Array.isArray(json.vectors)) return res;
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const totalTokens = typeof json.total_tokens === 'number' ? json.total_tokens : 0;
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const rewritten = {
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object: 'list',
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data: (json.vectors as number[][]).map((embedding, index) => ({
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object: 'embedding',
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embedding,
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index,
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})),
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model: typeof json.model === 'string' ? json.model : 'embo-01',
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usage: { prompt_tokens: totalTokens, total_tokens: totalTokens },
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};
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// Fresh header set: the body changed, so upstream content-length /
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// content-encoding would now be wrong.
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const headers = new Headers(res.headers);
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headers.delete('content-length');
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headers.delete('content-encoding');
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return new Response(JSON.stringify(rewritten), {
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status: res.status,
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statusText: res.statusText,
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headers,
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});
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} catch {
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return res;
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}
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}) as unknown as typeof fetch;
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/**
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* MiniMax (海螺AI). `/embeddings` endpoint at api.minimaxi.com (wire shape
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* normalized by `minimaxCompatFetch` above); OpenAI-compatible
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* `/chat/completions`. The flagship embedding model is `embo-01` (1536 dims).
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* MiniMax (海螺AI). OpenAI-compatible /embeddings endpoint at
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* api.minimax.chat. The flagship embedding model is `embo-01` (1536 dims).
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*
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* MiniMax's API takes an extra `type: 'db' | 'query'` field for asymmetric
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* retrieval. gbrain currently has no notion of "this is a document vs a
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@@ -130,25 +38,7 @@ export const minimax: Recipe = {
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// halving in the gateway catches token-limit errors at runtime.
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max_batch_tokens: 4096,
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},
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chat: {
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// Model list from MiniMax's /v1/models (#1977). Chat is genuinely
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// OpenAI-compatible — no wire rewrite needed (minimaxCompatFetch
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// passes non-embedding requests through untouched).
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models: [
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'MiniMax-M3',
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'MiniMax-M2.7',
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'MiniMax-M2.7-highspeed',
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'MiniMax-M2.5',
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'MiniMax-M2.5-highspeed',
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'MiniMax-M2.1',
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'MiniMax-M2.1-highspeed',
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'MiniMax-M2',
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],
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supports_tools: false,
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supports_subagent_loop: false,
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},
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},
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setup_hint:
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'Get an API key at https://www.minimaxi.com, then `export MINIMAX_API_KEY=...`',
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compat: { fetch: minimaxCompatFetch },
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};
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@@ -1058,6 +1058,16 @@ export class PGLiteEngine implements BrainEngine {
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RETURNING id, source_id, slug, type, title, compiled_truth, timeline, frontmatter, content_hash, created_at, updated_at, effective_date, effective_date_source, import_filename, source_kind, source_uri, ingested_via, ingested_at`,
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[sourceId, slug, page.type, pageKind, page.title, page.compiled_truth, page.timeline || '', JSON.stringify(frontmatter), hash, effectiveDate, effectiveDateSource, importFilename, chunkerVersion, sourcePath, sourceKind, sourceUri, ingestedVia, ingestedAt]
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);
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// #2189: an INSERT … ON CONFLICT DO UPDATE … RETURNING that yields 0 rows
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// (e.g. a BEFORE trigger suppressing the write) previously crashed in
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// rowToPage with an opaque "undefined is not an object (row.deleted_at)".
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// Throw a diagnosable error naming the row instead. Mirrors postgres-engine.ts.
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if (!rows[0]) {
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throw new Error(
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`putPage: INSERT … RETURNING produced no row for slug='${slug}' source_id='${sourceId}'. ` +
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`A trigger or rule on the pages table may be suppressing the write.`
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);
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}
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return rowToPage(rows[0] as Record<string, unknown>);
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}
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@@ -1119,6 +1119,16 @@ export class PostgresEngine implements BrainEngine {
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ingested_at = COALESCE(EXCLUDED.ingested_at, pages.ingested_at)
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RETURNING id, source_id, slug, type, title, compiled_truth, timeline, frontmatter, content_hash, created_at, updated_at, effective_date, effective_date_source, import_filename, source_kind, source_uri, ingested_via, ingested_at
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`;
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// #2189: an INSERT … ON CONFLICT DO UPDATE … RETURNING that yields 0 rows
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// (e.g. a BEFORE trigger suppressing the write) previously crashed in
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// rowToPage with an opaque "undefined is not an object (row.deleted_at)".
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// Throw a diagnosable error naming the row instead. Mirrors pglite-engine.ts.
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if (!rows[0]) {
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throw new Error(
|
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`putPage: INSERT … RETURNING produced no row for slug='${slug}' source_id='${sourceId}'. ` +
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`A trigger or rule on the pages table may be suppressing the write.`
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||||
);
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}
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return rowToPage(rows[0]);
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}
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@@ -6,14 +6,10 @@
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* - default auth: MINIMAX_API_KEY → "Bearer <key>"; missing → AIConfigError
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* - dimsProviderOptions threads `type: 'db'` for embo-01 (the asymmetric
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* retrieval field default) — pins the v1 indexing-only behavior
|
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* - #1977: chat touchpoint declared; minimaxCompatFetch rewrites the
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* embedding wire shape both directions, passes chat through with the
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* response body UNREAD (the consumed-body regression), fail-open.
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*/
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|
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import { afterEach, describe, expect, test } from 'bun:test';
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import { describe, expect, test } from 'bun:test';
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import { getRecipe } from '../../src/core/ai/recipes/index.ts';
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import { minimaxCompatFetch } from '../../src/core/ai/recipes/minimax.ts';
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import { defaultResolveAuth } from '../../src/core/ai/gateway.ts';
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import { dimsProviderOptions } from '../../src/core/ai/dims.ts';
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import { AIConfigError } from '../../src/core/ai/errors.ts';
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@@ -60,106 +56,4 @@ describe('recipe: minimax', () => {
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expect(dimsProviderOptions('openai-compatible', 'voyage-3-lite', 512)).toBeUndefined();
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expect(dimsProviderOptions('openai-compatible', 'nomic-embed-text', 768)).toBeUndefined();
|
||||
});
|
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|
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test('chat touchpoint declared (#1977) so assertTouchpoint permits gbrain think', () => {
|
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const r = getRecipe('minimax')!;
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expect(r.touchpoints.chat).toBeDefined();
|
||||
expect(r.touchpoints.chat!.models).toContain('MiniMax-M3');
|
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expect(r.touchpoints.chat!.supports_tools).toBe(false);
|
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expect(r.touchpoints.chat!.supports_subagent_loop).toBe(false);
|
||||
});
|
||||
|
||||
test('recipe ships minimaxCompatFetch via compat.fetch (no env-templated base URL)', () => {
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const r = getRecipe('minimax')!;
|
||||
expect(r.compat?.fetch).toBe(minimaxCompatFetch);
|
||||
// base_urls config override must keep working: no resolveOpenAICompatConfig.
|
||||
expect(r.resolveOpenAICompatConfig).toBeUndefined();
|
||||
});
|
||||
});
|
||||
|
||||
describe('minimaxCompatFetch (#1977)', () => {
|
||||
const realFetch = globalThis.fetch;
|
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afterEach(() => { globalThis.fetch = realFetch; });
|
||||
|
||||
function stubFetch(body: unknown, init?: { status?: number; contentType?: string }) {
|
||||
const calls: { url: string; init?: RequestInit }[] = [];
|
||||
globalThis.fetch = (async (input: any, i?: RequestInit) => {
|
||||
calls.push({ url: String(input), init: i });
|
||||
return new Response(typeof body === 'string' ? body : JSON.stringify(body), {
|
||||
status: init?.status ?? 200,
|
||||
headers: { 'content-type': init?.contentType ?? 'application/json' },
|
||||
});
|
||||
}) as unknown as typeof fetch;
|
||||
return calls;
|
||||
}
|
||||
|
||||
const EMBED_URL = 'https://api.minimaxi.com/v1/embeddings';
|
||||
const CHAT_URL = 'https://api.minimaxi.com/v1/chat/completions';
|
||||
|
||||
test('embedding request: input → texts, type:db injected, encoding_format dropped', async () => {
|
||||
const calls = stubFetch({ vectors: [[0.1, 0.2]] });
|
||||
await minimaxCompatFetch(EMBED_URL, {
|
||||
method: 'POST',
|
||||
headers: { 'content-type': 'application/json', 'content-length': '99' },
|
||||
body: JSON.stringify({ model: 'embo-01', input: ['hello', 'world'], encoding_format: 'float' }),
|
||||
});
|
||||
const wire = JSON.parse(calls[0]!.init!.body as string);
|
||||
expect(wire.texts).toEqual(['hello', 'world']);
|
||||
expect(wire.input).toBeUndefined();
|
||||
expect(wire.encoding_format).toBeUndefined();
|
||||
expect(wire.type).toBe('db');
|
||||
expect(new Headers(calls[0]!.init!.headers).get('content-length')).toBeNull();
|
||||
});
|
||||
|
||||
test('embedding response: {vectors} rewritten to OpenAI {data:[{embedding}]}', async () => {
|
||||
stubFetch({ vectors: [[0.1, 0.2], [0.3, 0.4]], total_tokens: 7 });
|
||||
const res = await minimaxCompatFetch(EMBED_URL, {
|
||||
method: 'POST',
|
||||
body: JSON.stringify({ model: 'embo-01', input: ['a', 'b'] }),
|
||||
});
|
||||
const json = await res.json();
|
||||
expect(json.data).toEqual([
|
||||
{ object: 'embedding', embedding: [0.1, 0.2], index: 0 },
|
||||
{ object: 'embedding', embedding: [0.3, 0.4], index: 1 },
|
||||
]);
|
||||
expect(json.usage).toEqual({ prompt_tokens: 7, total_tokens: 7 });
|
||||
});
|
||||
|
||||
test('chat completion passes through with body UNREAD (consumed-body regression)', async () => {
|
||||
stubFetch({ choices: [{ message: { role: 'assistant', content: 'hi' } }] });
|
||||
const res = await minimaxCompatFetch(CHAT_URL, {
|
||||
method: 'POST',
|
||||
body: JSON.stringify({ model: 'MiniMax-M3', messages: [{ role: 'user', content: 'say hi' }] }),
|
||||
});
|
||||
expect(res.bodyUsed).toBe(false); // the broken PR #2882 wrapper consumed this
|
||||
const json = await res.json(); // must NOT throw "Body already used"
|
||||
expect(json.choices[0].message.content).toBe('hi');
|
||||
});
|
||||
|
||||
test('chat request body is never rewritten (messages untouched, no type injected)', async () => {
|
||||
const calls = stubFetch({ choices: [] });
|
||||
const body = JSON.stringify({ model: 'MiniMax-M3', messages: [{ role: 'user', content: 'x' }] });
|
||||
await minimaxCompatFetch(CHAT_URL, { method: 'POST', body });
|
||||
expect(calls[0]!.init!.body).toBe(body);
|
||||
});
|
||||
|
||||
test('embedding error response ({vectors:null, base_resp}) passes through re-readable', async () => {
|
||||
stubFetch({ vectors: null, base_resp: { status_code: 2013, status_msg: 'invalid params' } });
|
||||
const res = await minimaxCompatFetch(EMBED_URL, {
|
||||
method: 'POST',
|
||||
body: JSON.stringify({ model: 'embo-01', input: ['a'] }),
|
||||
});
|
||||
expect(res.bodyUsed).toBe(false);
|
||||
const json = await res.json();
|
||||
expect(json.base_resp.status_code).toBe(2013);
|
||||
});
|
||||
|
||||
test('fail-open: non-JSON response body passes through untouched', async () => {
|
||||
stubFetch('not json', { contentType: 'application/json' });
|
||||
const res = await minimaxCompatFetch(EMBED_URL, {
|
||||
method: 'POST',
|
||||
body: JSON.stringify({ model: 'embo-01', input: ['a'] }),
|
||||
});
|
||||
expect(await res.text()).toBe('not json');
|
||||
});
|
||||
});
|
||||
|
||||
@@ -0,0 +1,74 @@
|
||||
// #2189 regression guard: putPage's INSERT … ON CONFLICT DO UPDATE … RETURNING
|
||||
// can yield 0 rows when brain-local DB state (e.g. a BEFORE INSERT trigger)
|
||||
// suppresses the write. Pre-fix, rowToPage(rows[0]) crashed with the opaque
|
||||
// "undefined is not an object (evaluating 'row.deleted_at')" that failed
|
||||
// ~all files of a code sync. Post-fix, putPage throws a descriptive error
|
||||
// naming the slug + source_id so the failure is diagnosable per-file.
|
||||
//
|
||||
// Same guard lands in postgres-engine.ts (engine-parity invariant); this test
|
||||
// exercises the PGLite side, where the issue was reported.
|
||||
|
||||
import { describe, expect, test, beforeAll, afterAll } from 'bun:test';
|
||||
import { PGLiteEngine } from '../src/core/pglite-engine.ts';
|
||||
|
||||
let engine: PGLiteEngine;
|
||||
|
||||
beforeAll(async () => {
|
||||
engine = new PGLiteEngine();
|
||||
await engine.connect({});
|
||||
await engine.initSchema();
|
||||
// Simulate the reporter's state-dependent failure: a trigger that
|
||||
// suppresses inserts for one slug, making RETURNING produce no row.
|
||||
await engine.executeRaw(`
|
||||
CREATE OR REPLACE FUNCTION suppress_pages_insert() RETURNS trigger AS $$
|
||||
BEGIN
|
||||
IF NEW.slug = 'suppressed-page' THEN RETURN NULL; END IF;
|
||||
RETURN NEW;
|
||||
END;
|
||||
$$ LANGUAGE plpgsql;
|
||||
`);
|
||||
await engine.executeRaw(`
|
||||
CREATE TRIGGER suppress_pages_insert_trg
|
||||
BEFORE INSERT ON pages
|
||||
FOR EACH ROW EXECUTE FUNCTION suppress_pages_insert();
|
||||
`);
|
||||
});
|
||||
|
||||
afterAll(async () => {
|
||||
await engine.executeRaw('DROP TRIGGER IF EXISTS suppress_pages_insert_trg ON pages');
|
||||
await engine.executeRaw('DROP FUNCTION IF EXISTS suppress_pages_insert');
|
||||
await engine.disconnect();
|
||||
});
|
||||
|
||||
describe('putPage RETURNING guard (#2189)', () => {
|
||||
test('0-row RETURNING throws a descriptive error, not row.deleted_at TypeError', async () => {
|
||||
let err: Error | undefined;
|
||||
try {
|
||||
await engine.putPage('suppressed-page', {
|
||||
type: 'code',
|
||||
title: 'Suppressed',
|
||||
compiled_truth: 'x',
|
||||
timeline: '',
|
||||
});
|
||||
} catch (e) {
|
||||
err = e as Error;
|
||||
}
|
||||
expect(err).toBeDefined();
|
||||
expect(err!.message).toContain('putPage');
|
||||
expect(err!.message).toContain("slug='suppressed-page'");
|
||||
expect(err!.message).toContain("source_id='default'");
|
||||
// The pre-fix crash signature must be gone.
|
||||
expect(err!.message).not.toContain('deleted_at');
|
||||
});
|
||||
|
||||
test('unsuppressed slugs still upsert normally with the trigger installed', async () => {
|
||||
const page = await engine.putPage('normal-page', {
|
||||
type: 'concept',
|
||||
title: 'Normal',
|
||||
compiled_truth: 'y',
|
||||
timeline: '',
|
||||
});
|
||||
expect(page.slug).toBe('normal-page');
|
||||
expect(page.source_id).toBe('default');
|
||||
});
|
||||
});
|
||||
@@ -375,6 +375,31 @@ describe('performSync dry-run never writes', () => {
|
||||
expect(messages.some(m => m.includes('git pull failed'))).toBe(false);
|
||||
});
|
||||
|
||||
test('first PGLite code sync imports code files without runtime failures', async () => {
|
||||
const { performSync } = await import('../src/commands/sync.ts');
|
||||
mkdirSync(join(repoPath, 'src'), { recursive: true });
|
||||
writeFileSync(
|
||||
join(repoPath, 'src/example.ts'),
|
||||
'export function add(left: number, right: number) { return left + right; }\n',
|
||||
);
|
||||
execSync('git add -A && git commit -m "add code file"', { cwd: repoPath, stdio: 'pipe' });
|
||||
|
||||
const result = await performSync(engine, {
|
||||
repoPath,
|
||||
noPull: true,
|
||||
noEmbed: true,
|
||||
noExtract: true,
|
||||
strategy: 'code',
|
||||
});
|
||||
|
||||
expect(result.status).toBe('first_sync');
|
||||
expect(result.added).toBe(1);
|
||||
expect(result.failedFiles ?? 0).toBe(0);
|
||||
const page = await engine.getPage('src-example-ts');
|
||||
expect(page?.type).toBe('code');
|
||||
expect(page?.frontmatter).toMatchObject({ file: 'src/example.ts', language: 'typescript' });
|
||||
});
|
||||
|
||||
test('incremental dry-run does NOT write to DB or advance the bookmark', async () => {
|
||||
const { performSync } = await import('../src/commands/sync.ts');
|
||||
// First do a real sync to seed the bookmark.
|
||||
|
||||
Reference in New Issue
Block a user