"use client"; import { CheckIcon, PauseIcon, XIcon } from "lucide-react"; import { AnimatePresence, LayoutGroup, MotionConfig, motion, useReducedMotion } from "motion/react"; import { useEffect, useLayoutEffect, useMemo, useRef, useState } from "react"; import { cn } from "@/lib/utils"; function useReducedMotionAfterMount() { const prefers = useReducedMotion(); const [mounted, setMounted] = useState(false); useEffect(() => setMounted(true), []); return mounted && Boolean(prefers); } export interface ConveyorProps { title?: string; jobNames?: string[]; workers?: number; jobsPerSecond?: number; rateLimit?: { every: number; for: number } | false; failRate?: number; warmupSeconds?: number; className?: string; } interface Job { id: number; name: string; workSeconds: number; progress: number; error?: string; } interface Sample { depth: number; limited: boolean; } const TICK = 100; const SAMPLE_EVERY = 5; const SAMPLES = 60; const errors = ["timeout after 30s", "upstream 502", "invalid input"]; function seededRandom(seed: number) { let a = seed; return () => { a |= 0; a = (a + 0x6d2b79f5) | 0; let t = Math.imul(a ^ (a >>> 15), 1 | a); t = (t + Math.imul(t ^ (t >>> 7), 61 | t)) ^ t; return ((t ^ (t >>> 14)) >>> 0) / 4294967296; }; } const defaultNames = ["resize image", "transcode clip", "embed document", "summarize thread", "extract invoice"]; const defaultLimit = { every: 22, for: 6 }; const spring = { type: "spring", stiffness: 420, damping: 34 } as const; function Chip({ job, tone = "queued" }: { job: Job; tone?: "queued" | "running" | "done" | "failed" }) { return ( #{job.id} ); } function Roll({ value }: { value: number }) { return ( {value} ); } function DepthChart({ samples, max }: { samples: Sample[]; max: number }) { const w = 300; const h = 48; const step = w / (SAMPLES - 1); const offset = SAMPLES - samples.length; const pts = samples.map((s, i) => [(i + offset) * step, h - 2 - (s.depth / max) * (h - 6)] as const); const line = pts.map(([x, y], i) => `${i ? "L" : "M"}${x.toFixed(1)} ${y.toFixed(1)}`).join(" "); const area = pts.length ? `${line} L${pts[pts.length - 1][0].toFixed(1)} ${h} L${pts[0][0].toFixed(1)} ${h} Z` : ""; const bands: { x: number; w: number }[] = []; samples.forEach((s, i) => { if (!s.limited) return; const x = (i + offset) * step - step / 2; const last = bands[bands.length - 1]; if (last && Math.abs(last.x + last.w - x) < 0.5) last.w += step; else bands.push({ x, w: step }); }); const tip = pts[pts.length - 1]; return ( {bands.map((b) => ( ))} {area && } {line && ( )} {tip && ( )} ); } export function Conveyor({ title = "Job queue", jobNames = defaultNames, workers: workerCount = 3, jobsPerSecond = 1.35, rateLimit = defaultLimit, failRate = 0.07, warmupSeconds = 26, className, }: ConveyorProps) { const reduce = useReducedMotionAfterMount(); const [queue, setQueue] = useState([]); const [slots, setSlots] = useState<(Job | null)[]>(() => Array.from({ length: workerCount }, () => null)); const [done, setDone] = useState([]); const [failed, setFailed] = useState([]); const [counts, setCounts] = useState({ done: 0, failed: 0 }); const [samples, setSamples] = useState([]); const [limitLeft, setLimitLeft] = useState(0); const sim = useRef({ t: 0, nextId: 481, rand: seededRandom(Date.now() % 100000), queue: [] as Job[], slots: [] as (Job | null)[], limitUntil: 0, nextLimit: 0, ticks: 0, }); const stripRef = useRef(null); const [fit, setFit] = useState(7); useLayoutEffect(() => { const el = stripRef.current; if (!el) return; const ro = new ResizeObserver(() => setFit(Math.max(3, Math.floor((el.clientWidth + 4) / 44) - 1))); ro.observe(el); return () => ro.disconnect(); }, []); useEffect(() => { const s = sim.current; Object.assign(s, { t: 0, ticks: 0, limitUntil: 0, nextId: 481, queue: [] }); s.slots = Array.from({ length: workerCount }, () => null); setSamples([]); setDone([]); setFailed([]); setCounts({ done: 0, failed: 0 }); s.nextLimit = rateLimit ? rateLimit.every * 0.45 : Number.POSITIVE_INFINITY; for (let i = 0; i < 3; i++) { s.queue.push({ id: s.nextId++, name: jobNames[i % jobNames.length], workSeconds: 1 + s.rand() * 0.8, progress: 0 }); } setQueue([...s.queue]); const tick = () => { const dt = TICK / 1000; s.t += dt; s.ticks += 1; const limited = s.t < s.limitUntil; if (rateLimit && !limited && s.t >= s.nextLimit) { s.limitUntil = s.t + rateLimit.for; s.nextLimit = s.t + rateLimit.every; } if (s.rand() < jobsPerSecond * dt) { s.queue.push({ id: s.nextId++, name: jobNames[s.nextId % jobNames.length], workSeconds: 1 + s.rand() * 0.8, progress: 0, }); } const landedDone: Job[] = []; const landedFailed: Job[] = []; s.slots = s.slots.map((job) => { if (!job) return null; if (s.t < s.limitUntil) return job; const progress = Math.min(job.progress + dt / job.workSeconds, 1); if (progress >= 1) { if (s.rand() < failRate) landedFailed.push({ ...job, progress: 1, error: errors[job.id % errors.length] }); else landedDone.push({ ...job, progress: 1 }); return null; } return { ...job, progress }; }); if (s.t >= s.limitUntil) { const free = s.slots.findIndex((x) => x === null); const next = s.queue[0]; if (free !== -1 && next) { s.queue = s.queue.slice(1); s.slots[free] = next; } } setQueue([...s.queue]); setSlots([...s.slots]); if (landedDone.length) { setDone((d) => [...landedDone, ...d].slice(0, 3)); setCounts((c) => ({ ...c, done: c.done + landedDone.length })); } if (landedFailed.length) { setFailed((f) => [...landedFailed, ...f].slice(0, 1)); setCounts((c) => ({ ...c, failed: c.failed + landedFailed.length })); } setLimitLeft(Math.max(0, Math.ceil(s.limitUntil - s.t))); if (s.ticks % SAMPLE_EVERY === 0) { const sample = { depth: s.queue.length, limited: s.t < s.limitUntil }; setSamples((list) => [...list, sample].slice(-SAMPLES)); } }; for (let i = 0; i < warmupSeconds * (1000 / TICK); i++) tick(); const iv = setInterval(tick, TICK); return () => { clearInterval(iv); s.queue = []; }; // Restart only when the shape of the simulation changes. // eslint-disable-next-line react-hooks/exhaustive-deps }, [workerCount, jobsPerSecond, failRate, rateLimit ? rateLimit.every : 0, rateLimit ? rateLimit.for : 0, jobNames.join("|"), warmupSeconds]); const limited = limitLeft > 0; const max = useMemo(() => Math.max(8, ...samples.map((s) => s.depth)) * 1.15, [samples]); const shown = queue.slice(0, fit); const hidden = queue.length - shown.length; const busy = slots.filter(Boolean).length; return (

{title}

{busy}/{workerCount} workers busy

{limited ? ( Rate limited · {limitLeft}s ) : ( {!reduce && } Processing )}
Backlog {samples.some((x) => x.limited) && ( Rate limited )}

Queued

{shown.map((job) => ( ))} {hidden > 0 && ( +{hidden} )} {queue.length === 0 && ( Empty — workers are keeping up )}
    {slots.map((job, i) => (
  • w{i + 1}
    {job && ( )} {job ? ( <> {job.name} {limited && } {Math.round(job.progress * 100)}% ) : ( {limited ? "Paused" : "Idle"} )}
  • ))}
{( [ { key: "done", label: "Done", Icon: CheckIcon, list: done, count: counts.done }, { key: "failed", label: "Failed", Icon: XIcon, list: failed, count: counts.failed }, ] as const ).map((col) => (
{col.label}
{col.list.length === 0 && None yet} {col.key === "failed" && col.list[0] ? ( <> {col.list[0].error} ) : ( col.list.map((job) => ) )}
))}
); }