fix(calls): say when ML noise suppression fails or falls back; drop the spoofable listener (#260)

The fork reports what actually runs as io.lotus.denoise_state, but the
host never listened ("unsupported action"), so a failed ML denoiser
silently published the raw mic. Handle it: toast when ML did not start
or fell back to another model. Remove LotusDenoiseFeature, which waited
for a postMessage nothing sends any more and accepted it from any frame.

Refs #260

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017PCb59uY3UKqDqt7B6hzd5

src/app/components/CallEmbedProvider.tsx

@@ -86,6 +86,7 @@ import { CallAvatarAnimation } from '../styles/Animations.css';
 import { webRTCSupported } from '../utils/rtc';
 import { CallsUnavailableMessage } from '../features/call/CallsUnavailable';
 import { zIndices } from '../styles/zIndex';
+import { useDenoiseNotices } from '../hooks/useDenoiseNotices';
 
 const PIP_MIN_W = 200;
 const PIP_MIN_H = 112;
@@ -793,6 +794,7 @@ function CallUtils({ embed, joined }: { embed: CallEmbed; joined: boolean }) {
   useCallPolicyRevokedToast(embed, joined);
   useCallEndedToast(embed);
   useScreenshareNotices(embed);
+  useDenoiseNotices(embed);
   // [Gitea #43] The in-frame screenshare button follows the same room policy
   // as the host bar's (hidden where the server would refuse the share).
   const { allowScreenshare } = useRoomCallPolicy(embed.room);

src/app/hooks/useDenoiseNotices.ts

@@ -0,0 +1,38 @@
+import { useEffect, useRef } from 'react';
+import { useSetAtom } from 'jotai';
+import { Icons } from 'folds';
+import { CallEmbed } from '../plugins/call';
+import { toastQueueAtom } from '../state/toast';
+import { useSetting } from '../state/hooks/settings';
+import { settingsAtom } from '../state/settings';
+import { denoiseNotice, DenoiseStateReport } from '../utils/denoiseNotice';
+
+/**
+ * [Gitea #260] Tell the user when ML noise suppression didn't attach (raw mic)
+ * or fell back to another model. The fork's `io.lotus.denoise_state` used to
+ * go unanswered ("unsupported action"), so failures were silent.
+ */
+export function useDenoiseNotices(embed: CallEmbed): void {
+  const setToast = useSetAtom(toastQueueAtom);
+  const [mode] = useSetting(settingsAtom, 'callNoiseSuppression');
+  const [model] = useSetting(settingsAtom, 'callDenoiseModel');
+  const latest = useRef({ mode, model });
+  latest.current = { mode, model };
+  useEffect(
+    () =>
+      embed.listenAction<{ data?: DenoiseStateReport }>('io.lotus.denoise_state', (evt) => {
+        if (latest.current.mode !== 'ml') return;
+        const body = denoiseNotice(latest.current.model, evt.detail?.data);
+        if (!body) return;
+        setToast({
+          id: `denoise-state-${Date.now()}`,
+          iconSrc: Icons.Mic,
+          displayName: 'Noise suppression',
+          body,
+          roomName: embed.room.name ?? 'Voice call',
+          roomId: embed.roomId,
+        });
+      }),
+    [embed, setToast],
+  );
+}

src/app/pages/client/ClientNonUIFeatures.tsx

@@ -1060,32 +1060,6 @@ function TauriUpdateFeature() {
   return null;
 }
 
-function LotusDenoiseFeature() {
-  const setToast = useSetAtom(toastQueueAtom);
-
-  useEffect(() => {
-    const handleMessage = (event: MessageEvent) => {
-      if (event.data?.type === 'lotus-denoise-status') {
-        const { active, error } = event.data;
-        if (!active) {
-          setToast({
-            id: `denoise-fail-${Date.now()}`,
-            displayName: 'Audio Quality',
-            body: `ML Noise Suppression failed: ${error || 'Unknown error'}. Falling back to raw mic.`,
-            roomName: 'System',
-            roomId: '',
-          });
-        }
-      }
-    };
-
-    window.addEventListener('message', handleMessage);
-    return () => window.removeEventListener('message', handleMessage);
-  }, [setToast]);
-
-  return null;
-}
-
 // Registers the global `?` shortcut (ignored while typing) and renders the
 // keyboard-shortcuts help dialog. Headless — the dialog self-gates on its atom.
 function KeyboardShortcutsFeature() {
@@ -1167,7 +1141,6 @@ export function ClientNonUIFeatures({ children }: ClientNonUIFeaturesProps) {
       <CloseBehaviorPrompt />
       <ConsentRequiredPrompt />
       <OutboxFeature />
-      <LotusDenoiseFeature />
       <DeepLinkNavigator />
       <KeyboardShortcutsFeature />
       {children}

src/app/plugins/call/CallEmbed.ts

@@ -218,9 +218,6 @@ export class CallEmbed {
       //  - transparent background so the room wallpaper shows through natively
       lotusCallState: 'true',
       lotusTransparent: 'true',
-      // [Gitea #293] the fork applies the theme with transparency anyway, and
-      // warned in every call that lotusTheme wasn't set
-      lotusTheme: 'true',
       // [Gitea #43] The fork hides its own footer (we draw the call bar) and
       // sets its root color-scheme from the theme, instead of us injecting CSS.
       lotusHostControls: 'true',

src/app/utils/denoiseNotice.test.ts

@@ -0,0 +1,17 @@
+import { test } from 'node:test';
+import assert from 'node:assert/strict';
+import { denoiseNotice } from './denoiseNotice';
+
+test('denoiseNotice: says when ML is off or fell back (#260)', () => {
+  assert.equal(denoiseNotice('deepfilternet', { active: true, model: 'deepfilternet' }), undefined);
+  assert.match(
+    denoiseNotice('deepfilternet', { active: true, model: 'rnnoise' }) ?? '',
+    /^DeepFilterNet 3 couldn't start, so noise suppression is using RNNoise instead\.$/,
+  );
+  assert.match(
+    denoiseNotice('rnnoise', { active: false, error: 'boom' }) ?? '',
+    /unfiltered audio/,
+  );
+  assert.equal(denoiseNotice('rnnoise', undefined), undefined);
+  assert.equal(denoiseNotice('rnnoise', { model: 'x' }), undefined);
+});

src/app/utils/denoiseNotice.ts

@@ -0,0 +1,29 @@
+/**
+ * [Gitea #260] The fork reports what noise suppression actually runs as
+ * `io.lotus.denoise_state { active, model, error? }`. Pure: the toast text for
+ * a report, or undefined when what runs is what the user picked.
+ */
+export type DenoiseStateReport = { active?: unknown; model?: unknown; error?: unknown };
+
+const MODEL_NAMES: Record<string, string> = {
+  rnnoise: 'RNNoise',
+  speex: 'Speex',
+  dtln: 'DTLN',
+  deepfilternet: 'DeepFilterNet 3',
+};
+const modelName = (m: unknown): string =>
+  typeof m === 'string' ? (MODEL_NAMES[m] ?? m) : 'the selected model';
+
+export function denoiseNotice(
+  requestedModel: string,
+  report: DenoiseStateReport | undefined,
+): string | undefined {
+  if (!report || typeof report.active !== 'boolean') return undefined;
+  if (!report.active) {
+    return `ML noise suppression couldn't start, so your microphone is sending unfiltered audio. You can pick another model in Settings → Calls.`;
+  }
+  if (typeof report.model === 'string' && report.model !== requestedModel) {
+    return `${modelName(requestedModel)} couldn't start, so noise suppression is using ${modelName(report.model)} instead.`;
+  }
+  return undefined;
+}

vite.config.js

@@ -87,106 +87,97 @@ function copyPdfWorker() {
   };
 }
 
-// The denoise assets the fork loads from ./denoise/ at runtime, as
-// [source, path under denoise/] pairs; `dir: true` entries are whole trees.
-// Shared by the build copy and the dev server (Gitea #293).
-function denoiseSources() {
-  const sapphi = path.resolve('node_modules/@sapphi-red/web-noise-suppressor/dist');
-  const dfnVendor = path.resolve('build/denoise-vendor/deepfilternet');
-  return {
-    // All bundled denoise assets are REQUIRED: every entry backs a model the
-    // UI can select (RNNoise, Speex) or the optional noise gate.
-    sapphi: [
-      [path.join(sapphi, 'rnnoise/workletProcessor.js'), 'rnnoiseWorklet.js'],
-      [path.join(sapphi, 'rnnoise.wasm'), 'rnnoise.wasm'],
-      [path.join(sapphi, 'rnnoise_simd.wasm'), 'rnnoise_simd.wasm'],
-      [path.join(sapphi, 'speex/workletProcessor.js'), 'speexWorklet.js'],
-      [path.join(sapphi, 'speex.wasm'), 'speex.wasm'],
-      [path.join(sapphi, 'noiseGate/workletProcessor.js'), 'noiseGateWorklet.js'],
-    ],
-    // DTLN (@workadventure/noise-suppression): a self-contained ES module that
-    // resolves its own worklet, LiteRT WASM runtime and TFLite models via
-    // `import.meta.url`, so its whole dist/ tree is served intact.
-    dtln: [path.resolve('node_modules/@workadventure/noise-suppression/dist'), 'workadventure'],
-    // DeepFilterNet 3: the ESM (worklet inlined) plus the vendored wasm and ONNX
-    // model (CDN-free / Tauri-CSP safe), in the package's expected v2/ layout.
-    dfn: [
-      [
-        path.resolve('node_modules/deepfilternet3-noise-filter/dist/index.esm.js'),
-        'deepfilternet/index.esm.js',
-      ],
-      [path.join(dfnVendor, 'v2/pkg/df_bg.wasm'), 'deepfilternet/v2/pkg/df_bg.wasm'],
-      [
-        path.join(dfnVendor, 'v2/models/DeepFilterNet3_onnx.tar.gz'),
-        'deepfilternet/v2/models/DeepFilterNet3_onnx.tar.gz',
-      ],
-    ],
-  };
-}
-
-// Lotus ML noise suppression: ship the denoise worklets/wasm/models alongside
-// the vendored Element Call bundle. Runs after viteStaticCopy has populated
-// dist/public/element-call (closeBundle order). [Gitea #293] The dev server
-// serves the same files at the same URLs, so `npm start` can test denoise.
+// Lotus ML noise suppression: ship the RNNoise worklet/wasm + our getUserMedia
+// shim alongside the vendored Element Call bundle, and inject the shim <script>
+// into EC's index.html so it runs before EC captures the mic. Runs after
+// viteStaticCopy has populated dist/public/element-call (closeBundle order).
 function lotusDenoise() {
-  const DEV_PREFIX = '/public/element-call/denoise/';
   return {
     name: 'lotus-denoise',
-    configureServer(server) {
-      const { sapphi, dtln, dfn } = denoiseSources();
-      const files = new Map([...sapphi, ...dfn].map(([src, rel]) => [rel, src]));
-      const types = { '.js': 'text/javascript', '.wasm': 'application/wasm' };
-      server.middlewares.use((req, res, next) => {
-        const url = (req.url ?? '').split('?')[0];
-        if (!url.startsWith(DEV_PREFIX)) return next();
-        const rel = decodeURIComponent(url.slice(DEV_PREFIX.length));
-        let file = files.get(rel);
-        if (!file && rel.startsWith(`${dtln[1]}/`)) {
-          const candidate = path.resolve(dtln[0], rel.slice(dtln[1].length + 1));
-          if (candidate.startsWith(dtln[0] + path.sep)) file = candidate;
-        }
-        if (!file || !fs.existsSync(file)) return next();
-        res.setHeader('Content-Type', types[path.extname(file)] ?? 'application/octet-stream');
-        fs.createReadStream(file).pipe(res);
-        return undefined;
-      });
-    },
     closeBundle() {
       const ecDir = path.resolve('dist/public/element-call');
       if (!fs.existsSync(ecDir)) return;
 
       const denoiseDir = path.join(ecDir, 'denoise');
       fs.mkdirSync(denoiseDir, { recursive: true });
-      const { sapphi, dtln, dfn } = denoiseSources();
 
-      // A missing source means a partial/changed install would otherwise
-      // silently ship a broken ML feature (worklet 404 -> raw mic), so we fail
-      // the build instead.
-      const missing = sapphi.filter(([s]) => !fs.existsSync(s)).map(([s]) => s);
+      const sapphi = path.resolve('node_modules/@sapphi-red/web-noise-suppressor/dist');
+      // All bundled denoise assets are REQUIRED: every entry backs a model the
+      // UI can select (RNNoise, Speex) or the optional noise gate. A missing
+      // source means a partial/changed install would otherwise silently ship a
+      // broken ML feature (worklet 404 -> raw mic), so we fail the build instead.
+      const assets = [
+        [
+          path.join(sapphi, 'rnnoise/workletProcessor.js'),
+          path.join(denoiseDir, 'rnnoiseWorklet.js'),
+        ],
+        [path.join(sapphi, 'rnnoise.wasm'), path.join(denoiseDir, 'rnnoise.wasm')],
+        [path.join(sapphi, 'rnnoise_simd.wasm'), path.join(denoiseDir, 'rnnoise_simd.wasm')],
+        [path.join(sapphi, 'speex/workletProcessor.js'), path.join(denoiseDir, 'speexWorklet.js')],
+        [path.join(sapphi, 'speex.wasm'), path.join(denoiseDir, 'speex.wasm')],
+        [
+          path.join(sapphi, 'noiseGate/workletProcessor.js'),
+          path.join(denoiseDir, 'noiseGateWorklet.js'),
+        ],
+      ];
+      const missing = assets.filter(([s]) => !fs.existsSync(s)).map(([s]) => s);
       if (missing.length > 0) {
         throw new Error(
           `[lotus-denoise] Required denoise asset(s) missing — build aborted to avoid shipping a broken ML feature:\n  ${missing.join('\n  ')}`,
         );
       }
-      sapphi.forEach(([s, rel]) => fs.copyFileSync(s, path.join(denoiseDir, rel)));
+      assets.forEach(([s, d]) => fs.copyFileSync(s, d));
 
-      const dtlnEntry = path.join(dtln[0], 'audio-worklet.js');
+      // DTLN (@workadventure/noise-suppression): unlike the flat sapphi
+      // worklets, this package is a self-contained ES module that resolves its
+      // own AudioWorklet processor, LiteRT WASM runtime and TFLite models via
+      // `import.meta.url`. So we copy its whole dist/ tree intact to
+      // denoise/workadventure/ (preserving assets/ + vendor/) and let the shim
+      // dynamic-import denoise/workadventure/audio-worklet.js at runtime. The
+      // entry module is required — fail the build if the install is broken.
+      const dtlnSrc = path.resolve('node_modules/@workadventure/noise-suppression/dist');
+      const dtlnEntry = path.join(dtlnSrc, 'audio-worklet.js');
       if (!fs.existsSync(dtlnEntry)) {
         throw new Error(
           `[lotus-denoise] DTLN entry missing (${dtlnEntry}) — build aborted. ` +
             'Run `npm ci` to install @workadventure/noise-suppression.',
         );
       }
-      fs.cpSync(dtln[0], path.join(denoiseDir, dtln[1]), { recursive: true });
+      fs.cpSync(dtlnSrc, path.join(denoiseDir, 'workadventure'), { recursive: true });
 
-      const dfnMissing = dfn.filter(([s]) => !fs.existsSync(s)).map(([s]) => s);
+      // DeepFilterNet 3 (deepfilternet3-noise-filter): the npm package ships only
+      // its ESM (index.esm.js) with the AudioWorklet processor + wasm-bindgen glue
+      // INLINED as a string (loaded via a Blob URL, no CDN for the worklet). The
+      // only runtime CDN fetches are its single-threaded `df_bg.wasm` and the
+      // ONNX `DeepFilterNet3_onnx.tar.gz` model — which we VENDOR locally (under
+      // build/denoise-vendor/deepfilternet/) and serve, overriding the package's
+      // cdnUrl to our self-hosted base. This keeps the feature CDN-free / Tauri-CSP
+      // safe. We copy the ESM (the shim dynamic-imports it, mirroring DTLN) plus
+      // the vendored assets, preserving the package's expected v2/... layout. All
+      // are required — a missing entry means a broken install, so fail the build.
+      const dfnEsm = path.resolve('node_modules/deepfilternet3-noise-filter/dist/index.esm.js');
+      const dfnVendor = path.resolve('build/denoise-vendor/deepfilternet');
+      const dfnAssets = [
+        [dfnEsm, path.join(denoiseDir, 'deepfilternet/index.esm.js')],
+        [
+          path.join(dfnVendor, 'v2/pkg/df_bg.wasm'),
+          path.join(denoiseDir, 'deepfilternet/v2/pkg/df_bg.wasm'),
+        ],
+        [
+          path.join(dfnVendor, 'v2/models/DeepFilterNet3_onnx.tar.gz'),
+          path.join(denoiseDir, 'deepfilternet/v2/models/DeepFilterNet3_onnx.tar.gz'),
+        ],
+      ];
+      const dfnMissing = dfnAssets.filter(([s]) => !fs.existsSync(s)).map(([s]) => s);
       if (dfnMissing.length > 0) {
         throw new Error(
-          `[lotus-denoise] DeepFilterNet 3 asset(s) missing — build aborted to avoid shipping a broken ML feature:\n  ${dfnMissing.join('\n  ')}\n(Run \`npm ci\`; the vendored wasm/model live under build/denoise-vendor/deepfilternet/.)`,
+          '[lotus-denoise] DeepFilterNet 3 asset(s) missing — build aborted to avoid ' +
+            'shipping a broken ML feature:\n  ' +
+            dfnMissing.join('\n  ') +
+            '\n(Run `npm ci`; the vendored wasm/model live under build/denoise-vendor/deepfilternet/.)',
         );
       }
-      dfn.forEach(([s, rel]) => {
-        const d = path.join(denoiseDir, rel);
+      dfnAssets.forEach(([s, d]) => {
         fs.mkdirSync(path.dirname(d), { recursive: true });
         fs.copyFileSync(s, d);
       });