asepharyana
f9fecfc144
Gateway: - Remove dead barrels (ai-moderation/index, attachment-upload/index, message-capture/index) — all consumers import files directly - Remove orphaned schema/ split dir (analytics/cache/messages/meta) — schema.ts is monolithic - Merge duplicate config singleton: delete shared/config/config.ts, point all 44 imports at shared/config/index Backend: - Remove dead commandHelper.ts (voice-era fallback), ws/index.ts barrel, health.schema.ts, moderationMetrics.ts, analysis.schema.ts (0 importers; metrics/handlers route directly) Frontend: - Remove orphaned CategoryDrilldown/CoverageTiles/TopicTrends, primitives/slot, use-mobile, use-mounted - Remove unused charts donut/sparkline (TopicTrends was only consumer) Kept (verified active): shared/database/index.ts facade (11 importers), hooks/index + lib/api/index barrels (10 importers), orpc/ws.ts, charts/index.ts barrel. Verified: tsc + biome + vitest per service (backend e2e 3 failures pre-existing on main); frontend next build 8 routes.
69 lines
2.5 KiB
TypeScript
69 lines
2.5 KiB
TypeScript
import { existsSync } from "node:fs";
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import { availableParallelism } from "node:os";
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import { fileURLToPath } from "node:url";
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import { Piscina } from "piscina";
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import { config } from "../../shared/config/index.js";
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import type { MessageRecord } from "../message-capture/types.js";
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// ---------------------------------------------------------------------------
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// Piscina worker pools (2026-08-31: split text vs media)
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//
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// Both the batch and individual-fallback pipelines used to share ONE pool.
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// A conversation batch containing images/stickers/embeds routes through
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// runMediaBatch (download + vision + LLM — tens of seconds per batch), and
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// Piscina hands each worker thread exactly one task at a time. With a small
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// fixed thread count, a handful of slow media batches could occupy every
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// thread and leave fast text-only batches for OTHER conversations queued
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// behind them for the whole media duration. Text and media now get their
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// own dedicated pools so a media backlog can never starve text analysis.
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// ---------------------------------------------------------------------------
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function getAnalysisWorkerUrl(): URL {
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const candidates = [
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new URL("./ai-analysis-worker.js", import.meta.url),
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new URL("../ai-analysis-worker.js", import.meta.url),
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new URL("./ai-analysis-worker.ts", import.meta.url),
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];
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for (const candidate of candidates) {
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if (existsSync(fileURLToPath(candidate))) {
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return candidate;
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}
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}
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return candidates[2];
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}
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const analysisWorkerFilename = fileURLToPath(getAnalysisWorkerUrl());
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/** Dedicated pool for text-only batch/individual analysis jobs. */
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export const textWorkerPool = new Piscina({
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filename: analysisWorkerFilename,
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execArgv: process.execArgv,
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maxThreads: config.PISCINA_MAX_THREADS ?? availableParallelism(),
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});
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/**
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* Dedicated pool for jobs whose batch contains at least one message with
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* media (attachments/stickers/embeds). Kept separate so slow image/vision
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* analysis never blocks the text pool above.
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*/
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export const mediaWorkerPool = new Piscina({
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filename: analysisWorkerFilename,
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execArgv: process.execArgv,
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maxThreads: config.PISCINA_MEDIA_MAX_THREADS ?? 2,
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});
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/**
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* @deprecated Use `textWorkerPool` or `mediaWorkerPool` directly. Kept as an
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* alias to the text pool only for anything not yet migrated.
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*/
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export const workerPool = textWorkerPool;
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/**
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* Gets the conversation key for a message (thread_id or channel_id).
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*/
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export function getConversationKey(message: MessageRecord): string {
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return message.thread_id || message.channel_id;
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}
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