43 lines
1.5 KiB
TypeScript
43 lines
1.5 KiB
TypeScript
import { NextRequest, NextResponse } from "next/server";
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import fs from "node:fs/promises";
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import { assertLocalRequest } from "@/lib/api/localOnly";
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import { getJob, estimateRealtimeMultiplier } from "@/lib/whisperjav/db";
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export const runtime = "nodejs";
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export const dynamic = "force-dynamic";
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const LOG_TAIL_LINES = 50;
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export async function GET(req: NextRequest, ctx: { params: Promise<{ id: string }> }) {
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const blocked = assertLocalRequest(req);
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if (blocked) return blocked;
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const { id } = await ctx.params;
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const job = getJob(id);
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if (!job) return NextResponse.json({ error: "Not found" }, { status: 404 });
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let logTail: string[] = [];
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try {
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const raw = await fs.readFile(job.logPath, "utf8");
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const lines = raw.split(/\r?\n/);
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logTail = lines.slice(-LOG_TAIL_LINES - 1).filter(Boolean);
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} catch { /* log may not exist yet */ }
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// ETA: per-mode multiplier from history × video duration − elapsed.
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// Returns null when we can't compute (no duration / not running yet).
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let etaSec: number | null = null;
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if (
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(job.status === "queued" || job.status === "running") &&
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job.videoDurationSec && job.videoDurationSec > 0 &&
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job.mode
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) {
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const multiplier = estimateRealtimeMultiplier(job.mode);
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const totalProjected = job.videoDurationSec * multiplier;
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const start = job.startedAt ?? job.enqueuedAt;
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const elapsedSec = (Date.now() - start) / 1000;
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etaSec = Math.max(0, totalProjected - elapsedSec);
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}
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return NextResponse.json({ ...job, logTail, etaSec });
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}
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