Initial commit: PodcastYes — AI podcast platform
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import "dotenv/config";
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import { getBoss } from "@/lib/queue/pgboss";
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import { QUEUES, type GenerateEpisodePayload, type EchoPayload } from "@/lib/queue/jobs";
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import { runEpisodeGeneration } from "@/lib/ai/pipeline/generate-episode";
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import { setEpisodeStatus } from "@/lib/episodes/status";
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const CONCURRENCY = Math.max(1, Number(process.env.WORKER_CONCURRENCY ?? "2"));
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async function main() {
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const boss = await getBoss({ supervise: true });
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console.log(`[worker] started (concurrency=${CONCURRENCY})`);
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// Proof-of-loop queue used by health checks / verification.
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await boss.work<EchoPayload>(QUEUES.echo, { batchSize: 1 }, async (jobs) => {
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for (const job of jobs) console.log("[echo]", job.data);
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});
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// Episode generation. batchSize 1 = independent retries per job.
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await boss.work<GenerateEpisodePayload>(
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QUEUES.generateEpisode,
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{ batchSize: 1, includeMetadata: true },
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async (jobs) => {
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for (const job of jobs) {
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await handleGenerate(job);
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}
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}
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);
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const shutdown = async (signal: string) => {
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console.log(`[worker] ${signal} — shutting down`);
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await boss.stop({ graceful: true });
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process.exit(0);
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};
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process.on("SIGINT", () => void shutdown("SIGINT"));
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process.on("SIGTERM", () => void shutdown("SIGTERM"));
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}
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async function handleGenerate(job: {
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data: GenerateEpisodePayload;
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retryCount?: number;
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retryLimit?: number;
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}) {
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const { episodeId, type } = job.data;
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try {
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await runEpisodeGeneration(episodeId, type ?? "full");
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} catch (err) {
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const message = err instanceof Error ? err.message : String(err);
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const retryCount = job.retryCount ?? 0;
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const retryLimit = job.retryLimit ?? 0;
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const exhausted = retryCount >= retryLimit;
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console.error(
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`[generate] ${episodeId} failed (attempt ${retryCount}/${retryLimit}): ${message}`
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);
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if (exhausted) {
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await setEpisodeStatus(episodeId, "FAILED", { errorMessage: message });
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} else {
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throw err; // let pg-boss retry with backoff
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}
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}
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}
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main().catch((err) => {
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console.error("[worker] fatal", err);
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process.exit(1);
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});
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