chore: import upstream snapshot with attribution
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@@ -0,0 +1,383 @@
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const { invoke } = window.__TAURI__.core;
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let _runtimeUnlisten = null;
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// The backend always binds all interfaces; network availability is gated live
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// by the backend itself (Settings → "Make StemDeck available on your network").
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function startBackend() {
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return invoke("start_backend");
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}
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const statusEl = document.getElementById("status");
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const detailsEl = document.getElementById("details");
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const retryBtn = document.getElementById("retry");
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const steps = [...document.querySelectorAll("[data-step]")];
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function setStep(name, state) {
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const el = steps.find((item) => item.dataset.step === name);
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if (!el) return;
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el.classList.remove("active", "done", "error");
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if (state) el.classList.add(state);
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}
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function setStatus(message) {
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statusEl.textContent = message;
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}
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function showError(error, hint) {
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for (const el of steps) {
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if (el.classList.contains("active")) {
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el.classList.replace("active", "error");
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}
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}
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setStatus("Setup could not complete.");
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const msg = String(error?.message ?? error);
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detailsEl.textContent = hint ? `${msg}\n\n→ ${hint}` : msg;
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detailsEl.classList.remove("hidden");
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retryBtn.classList.remove("hidden");
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}
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async function runStep(name, fn) {
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setStep(name, "active");
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try {
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const result = await fn();
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setStep(name, "done");
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return result;
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} catch (err) {
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setStep(name, "error");
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throw err;
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}
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}
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function minDelay(ms) {
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return Promise.all([
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new Promise((r) => setTimeout(r, ms)),
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new Promise((r) => requestAnimationFrame(r)),
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]);
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}
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function formatElapsed(startedAt) {
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const seconds = Math.floor((Date.now() - startedAt) / 1000);
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const minutes = Math.floor(seconds / 60);
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const rest = seconds % 60;
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return minutes > 0 ? `${minutes}m ${rest}s` : `${rest}s`;
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}
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function startProgressStatus(messages) {
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const startedAt = Date.now();
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let messageIndex = 0;
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const update = () => {
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const elapsedSeconds = Math.floor((Date.now() - startedAt) / 1000);
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while (
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messageIndex + 1 < messages.length &&
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elapsedSeconds >= messages[messageIndex + 1].afterSeconds
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) {
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messageIndex += 1;
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}
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setStatus(`${messages[messageIndex].text} Elapsed: ${formatElapsed(startedAt)}.`);
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};
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update();
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const timer = window.setInterval(update, 1000);
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return () => window.clearInterval(timer);
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}
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function isMac() {
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return /mac/i.test(navigator.userAgentData?.platform ?? navigator.platform ?? "");
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}
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async function installRuntimePack(appRoot) {
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const status = await invoke("runtime_pack_status");
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if (!status.manifestReady) {
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throw Object.assign(
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new Error(`Python runtime not found under ${appRoot}.`),
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{ hint: "Try reinstalling StemDeck. If the problem persists, check that your disk has at least 2 GB free." }
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);
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}
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const progressWrap = document.getElementById("progress-wrap");
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const progressFill = document.getElementById("progress-fill");
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// lastProgressAt is updated by the SSE handler below; only meaningful
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// during a network download, so it is reset just before download starts.
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let lastReceived = 0;
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let lastProgressAt = Date.now();
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const STALL_WARN_MS = 30_000;
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// Guard against stacked listeners on rapid retry (#146): unlisten any
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// previous registration before creating a new one.
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if (_runtimeUnlisten) { _runtimeUnlisten(); _runtimeUnlisten = null; }
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const unlisten = await window.__TAURI__.event.listen(
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"runtime-download-progress",
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(event) => {
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const { received, total } = event.payload;
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if (received !== lastReceived) {
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lastReceived = received;
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lastProgressAt = Date.now();
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}
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const mb = (received / 1e6).toFixed(0);
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if (total && total > 0) {
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const pct = Math.min(100, Math.round((received / total) * 100));
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progressFill.style.width = `${pct}%`;
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progressFill.classList.remove("indeterminate");
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setStatus(`Downloading StemDeck runtime... ${mb} / ${(total / 1e6).toFixed(0)} MB`);
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} else {
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progressFill.classList.add("indeterminate");
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setStatus(`Downloading StemDeck runtime... ${mb} MB received`);
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}
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}
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);
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_runtimeUnlisten = unlisten;
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progressWrap.classList.remove("hidden");
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progressFill.style.width = "0%";
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progressFill.classList.remove("indeterminate");
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try {
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let verified = false;
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if (status.archiveReady) {
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try {
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setStatus("Runtime archive found locally, verifying...");
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progressWrap.classList.add("hidden");
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await invoke("verify_runtime_pack");
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verified = true;
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} catch {
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// Stale or corrupt archive — fall through to re-download
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}
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}
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if (!verified) {
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progressWrap.classList.remove("hidden");
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setStatus("Downloading StemDeck runtime...");
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// Reset stall baseline when network download is actually about to start (#150).
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lastProgressAt = Date.now();
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// stallTimer starts here, not at top of function, so it doesn't fire
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// during the local verify_runtime_pack path (#150).
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// When a stall is detected it stops startProgressStatus first to avoid
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// both timers writing setStatus concurrently (#149).
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let stopSlowMsg = null;
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const stallTimer = window.setInterval(() => {
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const stallMs = Date.now() - lastProgressAt;
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if (stallMs >= STALL_WARN_MS) {
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if (stopSlowMsg) { stopSlowMsg(); stopSlowMsg = null; }
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setStatus(
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stallMs >= 60_000
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? "Download appears unreachable — check your internet connection and click Retry."
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: "Download seems slow or stalled — check your internet connection."
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);
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}
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}, 5_000);
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// startProgressStatus is assigned after stallTimer creation; the closure
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// above captures stopSlowMsg by reference, so it sees the updated value.
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stopSlowMsg = startProgressStatus([
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{ afterSeconds: 0, text: "Downloading StemDeck runtime..." },
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{ afterSeconds: 30, text: "Still downloading runtime... slow connection detected." },
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{ afterSeconds: 90, text: "Still downloading... large file on a slow connection can take a few minutes." },
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]);
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try {
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await invoke("download_runtime_pack");
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} catch (err) {
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throw Object.assign(
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new Error(String(err)),
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{ hint: "Check your internet connection and click Retry. If the problem persists, try a different network." }
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);
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} finally {
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window.clearInterval(stallTimer);
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if (stopSlowMsg) { stopSlowMsg(); }
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}
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progressWrap.classList.add("hidden");
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setStatus("Verifying StemDeck runtime...");
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await invoke("verify_runtime_pack");
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}
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setStatus("Installing StemDeck runtime...");
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const installed = await invoke("extract_runtime_pack");
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if (!installed.runtimeReady) {
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throw Object.assign(
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new Error("Runtime install finished but Python/backend files were not found."),
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{ hint: "Your disk may be full or the archive may be corrupt. Free up space and click Retry to re-download." }
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);
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}
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} finally {
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_runtimeUnlisten = null;
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unlisten();
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progressWrap.classList.add("hidden");
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}
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}
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async function runSetup() {
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detailsEl.classList.add("hidden");
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retryBtn.classList.add("hidden");
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for (const step of steps) step.classList.remove("active", "done", "error");
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try {
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setStep("runtime", "active");
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setStatus("Checking Python runtime...");
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let [runtime] = await Promise.all([
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invoke("probe_runtime"),
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minDelay(350),
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]);
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// Compare the installed runtime against the version this app bundle expects.
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// On a DMG upgrade the old runtime is still fully "ready", so this MUST be
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// checked before the early-return below -- otherwise setup starts the stale
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// backend + frontend and the new release (e.g. new features, version) never
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// takes effect until the runtime is manually cleared.
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const runtimeStatus = await invoke("runtime_pack_status");
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const expectedVersion = runtimeStatus.manifest?.version;
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const installedVersion = runtimeStatus.installedVersion;
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// Mismatch when this build expects a version the installed runtime isn't.
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// An unknown installedVersion (a runtime from a build that never recorded
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// one) also counts, so an upgrade still refreshes it. Self-heals: after one
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// refresh the install records the version and subsequent launches match.
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const versionMismatch = Boolean(expectedVersion) && installedVersion !== expectedVersion;
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if (runtime.pythonReady && runtime.ffmpegReady && runtime.torchDevice && !versionMismatch) {
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for (const step of steps) {
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step.classList.remove("active", "error");
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if (step.dataset.step === "backend") {
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step.classList.remove("done");
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} else {
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step.classList.add("done");
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}
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}
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await runStep("backend", async () => {
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setStatus("Runtime is ready. Starting StemDeck backend...");
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const backend = await startBackend();
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setStatus("Opening StemDeck...");
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window.location.replace(backend.url);
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});
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return;
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}
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if (!runtime.pythonReady || versionMismatch) {
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if (versionMismatch) {
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setStatus(`Updating runtime from ${installedVersion || "an older build"} to ${expectedVersion}...`);
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}
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await invoke("ensure_workspace");
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await installRuntimePack(runtime.appRoot);
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runtime = await invoke("probe_runtime");
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if (!runtime.pythonReady) {
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setStep("runtime", "error");
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throw Object.assign(
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new Error(`Python runtime setup failed under: ${runtime.dataDir}`),
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{ hint: "Check that your disk has at least 2 GB free and click Retry. If it keeps failing, try reinstalling StemDeck." }
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);
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}
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}
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setStep("runtime", "done");
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setStatus(`Python runtime found at ${runtime.pythonPath}`);
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await minDelay(200);
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let gpuSummary = "";
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await runStep("workspace", () => invoke("ensure_workspace"));
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if (runtime.ffmpegReady) {
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setStep("ffmpeg", "done");
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} else {
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await runStep("ffmpeg", async () => {
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const stopProgress = startProgressStatus([
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{
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afterSeconds: 0,
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text: "Downloading FFmpeg... this can take a few minutes on first run.",
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},
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{
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afterSeconds: 60,
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text: "Still downloading FFmpeg... slow networks or antivirus scans can delay this.",
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},
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]);
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try {
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const assets = await invoke("ensure_external_assets");
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if (!assets.ffmpegReady) {
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throw new Error(
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"FFmpeg setup did not complete. Check your internet connection and retry."
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);
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}
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} finally {
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stopProgress();
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}
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});
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}
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await runStep("gpu", async () => {
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const macGPU = isMac();
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const stopProgress = startProgressStatus(
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macGPU
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? [
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{
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afterSeconds: 0,
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text: "Checking Apple Silicon compute support...",
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},
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{
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afterSeconds: 10,
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text: "Verifying MPS acceleration for AI models...",
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},
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]
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: [
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{
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afterSeconds: 0,
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text: "Checking NVIDIA GPU and compute support...",
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},
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{
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afterSeconds: 20,
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text: "Installing NVIDIA acceleration if needed... first run can take 5-15 minutes.",
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},
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{
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afterSeconds: 120,
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text: "Still installing NVIDIA acceleration... CUDA Torch packages are large.",
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},
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{
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afterSeconds: 300,
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text: "Still working... setup should finish or time out automatically.",
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},
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]
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);
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try {
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const gpu = await invoke("ensure_torch_device");
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if (macGPU) {
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gpuSummary =
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gpu.torchDevice === "mps"
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? `${gpu.gpuName} acceleration enabled`
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: "MPS acceleration unavailable - stem separation will use CPU";
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} else {
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if (gpu.gpuDetected && !gpu.cudaVerified) {
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showError(
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`GPU detected (${gpu.gpuName}) but CUDA setup failed - stem separation will use CPU.\nCheck logs/setup.log in the StemDeck data folder for details.`
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);
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}
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gpuSummary = gpu.gpuDetected
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? gpu.cudaVerified
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? `${gpu.gpuName} - CUDA ${gpu.cudaVersion} enabled`
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: `${gpu.gpuName} found - falling back to CPU (CUDA unverified)`
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: "No NVIDIA GPU - stem separation will use CPU";
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}
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return gpu;
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} finally {
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stopProgress();
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}
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});
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setStep("model", "done");
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setStatus("AI separation model will download on first use (~340 MB).");
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await runStep("backend", async () => {
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setStatus(gpuSummary ? `${gpuSummary} - starting backend...` : "Starting StemDeck backend...");
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const backend = await startBackend();
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setStatus("Opening StemDeck...");
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window.location.replace(backend.url);
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});
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} catch (error) {
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showError(error, error?.hint);
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}
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}
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retryBtn.addEventListener("click", runSetup);
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runSetup();
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