Compare commits
1
Commits
| Author | SHA1 | Date | |
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33cc0de97c |
@@ -89,6 +89,8 @@ import { zIndices } from '../styles/zIndex';
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const PIP_MIN_W = 200;
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const PIP_MIN_W = 200;
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const PIP_MIN_H = 112;
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const PIP_MIN_H = 112;
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/** Default PiP top: just below the 64px-ish room header. */
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const PIP_DEFAULT_TOP = 72;
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type Corner = 'se' | 'sw' | 'ne' | 'nw';
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type Corner = 'se' | 'sw' | 'ne' | 'nw';
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@@ -1046,8 +1048,11 @@ export function CallEmbedProvider({ children }: CallEmbedProviderProps) {
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el.style.left = `${Math.max(0, Math.min(savedPos.left, window.innerWidth - 280))}px`;
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el.style.left = `${Math.max(0, Math.min(savedPos.left, window.innerWidth - 280))}px`;
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el.style.top = `${Math.max(0, Math.min(savedPos.top, window.innerHeight - 158))}px`;
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el.style.top = `${Math.max(0, Math.min(savedPos.top, window.innerHeight - 158))}px`;
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} else {
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} else {
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el.style.left = `${window.innerWidth - 280 - 16}px`;
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// [Gitea #323] First use: top-right under the room header, over the
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el.style.top = `${window.innerHeight - 158 - 72}px`;
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// timeline. Bottom-right sat on the composer (Send / Emoji, and on
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// phones the whole message box), so typing landed on the call.
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el.style.left = `${Math.max(0, window.innerWidth - 280 - 16)}px`;
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el.style.top = `${PIP_DEFAULT_TOP}px`;
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}
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}
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el.style.width = '280px';
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el.style.width = '280px';
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el.style.height = '158px';
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el.style.height = '158px';
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@@ -218,9 +218,6 @@ export class CallEmbed {
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// - transparent background so the room wallpaper shows through natively
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// - transparent background so the room wallpaper shows through natively
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lotusCallState: 'true',
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lotusCallState: 'true',
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lotusTransparent: 'true',
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lotusTransparent: 'true',
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// [Gitea #293] the fork applies the theme with transparency anyway, and
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// warned in every call that lotusTheme wasn't set
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lotusTheme: 'true',
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// [Gitea #43] The fork hides its own footer (we draw the call bar) and
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// [Gitea #43] The fork hides its own footer (we draw the call bar) and
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// sets its root color-scheme from the theme, instead of us injecting CSS.
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// sets its root color-scheme from the theme, instead of us injecting CSS.
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lotusHostControls: 'true',
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lotusHostControls: 'true',
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+64
-73
@@ -87,106 +87,97 @@ function copyPdfWorker() {
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};
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};
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}
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}
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// The denoise assets the fork loads from ./denoise/ at runtime, as
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// Lotus ML noise suppression: ship the RNNoise worklet/wasm + our getUserMedia
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// [source, path under denoise/] pairs; `dir: true` entries are whole trees.
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// shim alongside the vendored Element Call bundle, and inject the shim <script>
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// Shared by the build copy and the dev server (Gitea #293).
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// into EC's index.html so it runs before EC captures the mic. Runs after
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function denoiseSources() {
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// viteStaticCopy has populated dist/public/element-call (closeBundle order).
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const sapphi = path.resolve('node_modules/@sapphi-red/web-noise-suppressor/dist');
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const dfnVendor = path.resolve('build/denoise-vendor/deepfilternet');
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return {
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// All bundled denoise assets are REQUIRED: every entry backs a model the
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// UI can select (RNNoise, Speex) or the optional noise gate.
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sapphi: [
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[path.join(sapphi, 'rnnoise/workletProcessor.js'), 'rnnoiseWorklet.js'],
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[path.join(sapphi, 'rnnoise.wasm'), 'rnnoise.wasm'],
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[path.join(sapphi, 'rnnoise_simd.wasm'), 'rnnoise_simd.wasm'],
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[path.join(sapphi, 'speex/workletProcessor.js'), 'speexWorklet.js'],
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[path.join(sapphi, 'speex.wasm'), 'speex.wasm'],
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[path.join(sapphi, 'noiseGate/workletProcessor.js'), 'noiseGateWorklet.js'],
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],
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// DTLN (@workadventure/noise-suppression): a self-contained ES module that
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// resolves its own worklet, LiteRT WASM runtime and TFLite models via
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// `import.meta.url`, so its whole dist/ tree is served intact.
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dtln: [path.resolve('node_modules/@workadventure/noise-suppression/dist'), 'workadventure'],
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// DeepFilterNet 3: the ESM (worklet inlined) plus the vendored wasm and ONNX
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// model (CDN-free / Tauri-CSP safe), in the package's expected v2/ layout.
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dfn: [
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[
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path.resolve('node_modules/deepfilternet3-noise-filter/dist/index.esm.js'),
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'deepfilternet/index.esm.js',
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],
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[path.join(dfnVendor, 'v2/pkg/df_bg.wasm'), 'deepfilternet/v2/pkg/df_bg.wasm'],
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[
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path.join(dfnVendor, 'v2/models/DeepFilterNet3_onnx.tar.gz'),
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'deepfilternet/v2/models/DeepFilterNet3_onnx.tar.gz',
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],
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],
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};
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}
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// Lotus ML noise suppression: ship the denoise worklets/wasm/models alongside
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// the vendored Element Call bundle. Runs after viteStaticCopy has populated
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// dist/public/element-call (closeBundle order). [Gitea #293] The dev server
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// serves the same files at the same URLs, so `npm start` can test denoise.
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function lotusDenoise() {
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function lotusDenoise() {
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const DEV_PREFIX = '/public/element-call/denoise/';
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return {
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return {
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name: 'lotus-denoise',
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name: 'lotus-denoise',
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configureServer(server) {
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const { sapphi, dtln, dfn } = denoiseSources();
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const files = new Map([...sapphi, ...dfn].map(([src, rel]) => [rel, src]));
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const types = { '.js': 'text/javascript', '.wasm': 'application/wasm' };
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server.middlewares.use((req, res, next) => {
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const url = (req.url ?? '').split('?')[0];
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if (!url.startsWith(DEV_PREFIX)) return next();
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const rel = decodeURIComponent(url.slice(DEV_PREFIX.length));
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let file = files.get(rel);
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if (!file && rel.startsWith(`${dtln[1]}/`)) {
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const candidate = path.resolve(dtln[0], rel.slice(dtln[1].length + 1));
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if (candidate.startsWith(dtln[0] + path.sep)) file = candidate;
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}
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if (!file || !fs.existsSync(file)) return next();
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res.setHeader('Content-Type', types[path.extname(file)] ?? 'application/octet-stream');
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fs.createReadStream(file).pipe(res);
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return undefined;
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});
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},
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closeBundle() {
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closeBundle() {
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const ecDir = path.resolve('dist/public/element-call');
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const ecDir = path.resolve('dist/public/element-call');
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if (!fs.existsSync(ecDir)) return;
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if (!fs.existsSync(ecDir)) return;
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const denoiseDir = path.join(ecDir, 'denoise');
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const denoiseDir = path.join(ecDir, 'denoise');
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fs.mkdirSync(denoiseDir, { recursive: true });
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fs.mkdirSync(denoiseDir, { recursive: true });
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const { sapphi, dtln, dfn } = denoiseSources();
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// A missing source means a partial/changed install would otherwise
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const sapphi = path.resolve('node_modules/@sapphi-red/web-noise-suppressor/dist');
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// silently ship a broken ML feature (worklet 404 -> raw mic), so we fail
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// All bundled denoise assets are REQUIRED: every entry backs a model the
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// the build instead.
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// UI can select (RNNoise, Speex) or the optional noise gate. A missing
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const missing = sapphi.filter(([s]) => !fs.existsSync(s)).map(([s]) => s);
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// source means a partial/changed install would otherwise silently ship a
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// broken ML feature (worklet 404 -> raw mic), so we fail the build instead.
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const assets = [
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[
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path.join(sapphi, 'rnnoise/workletProcessor.js'),
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path.join(denoiseDir, 'rnnoiseWorklet.js'),
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],
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[path.join(sapphi, 'rnnoise.wasm'), path.join(denoiseDir, 'rnnoise.wasm')],
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[path.join(sapphi, 'rnnoise_simd.wasm'), path.join(denoiseDir, 'rnnoise_simd.wasm')],
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[path.join(sapphi, 'speex/workletProcessor.js'), path.join(denoiseDir, 'speexWorklet.js')],
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[path.join(sapphi, 'speex.wasm'), path.join(denoiseDir, 'speex.wasm')],
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[
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path.join(sapphi, 'noiseGate/workletProcessor.js'),
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path.join(denoiseDir, 'noiseGateWorklet.js'),
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],
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];
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const missing = assets.filter(([s]) => !fs.existsSync(s)).map(([s]) => s);
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if (missing.length > 0) {
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if (missing.length > 0) {
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throw new Error(
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throw new Error(
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`[lotus-denoise] Required denoise asset(s) missing — build aborted to avoid shipping a broken ML feature:\n ${missing.join('\n ')}`,
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`[lotus-denoise] Required denoise asset(s) missing — build aborted to avoid shipping a broken ML feature:\n ${missing.join('\n ')}`,
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);
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);
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}
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}
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sapphi.forEach(([s, rel]) => fs.copyFileSync(s, path.join(denoiseDir, rel)));
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assets.forEach(([s, d]) => fs.copyFileSync(s, d));
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const dtlnEntry = path.join(dtln[0], 'audio-worklet.js');
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// DTLN (@workadventure/noise-suppression): unlike the flat sapphi
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// worklets, this package is a self-contained ES module that resolves its
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// own AudioWorklet processor, LiteRT WASM runtime and TFLite models via
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// `import.meta.url`. So we copy its whole dist/ tree intact to
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// denoise/workadventure/ (preserving assets/ + vendor/) and let the shim
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// dynamic-import denoise/workadventure/audio-worklet.js at runtime. The
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// entry module is required — fail the build if the install is broken.
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const dtlnSrc = path.resolve('node_modules/@workadventure/noise-suppression/dist');
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const dtlnEntry = path.join(dtlnSrc, 'audio-worklet.js');
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if (!fs.existsSync(dtlnEntry)) {
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if (!fs.existsSync(dtlnEntry)) {
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throw new Error(
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throw new Error(
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`[lotus-denoise] DTLN entry missing (${dtlnEntry}) — build aborted. ` +
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`[lotus-denoise] DTLN entry missing (${dtlnEntry}) — build aborted. ` +
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'Run `npm ci` to install @workadventure/noise-suppression.',
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'Run `npm ci` to install @workadventure/noise-suppression.',
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);
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);
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}
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}
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fs.cpSync(dtln[0], path.join(denoiseDir, dtln[1]), { recursive: true });
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fs.cpSync(dtlnSrc, path.join(denoiseDir, 'workadventure'), { recursive: true });
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const dfnMissing = dfn.filter(([s]) => !fs.existsSync(s)).map(([s]) => s);
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// DeepFilterNet 3 (deepfilternet3-noise-filter): the npm package ships only
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// its ESM (index.esm.js) with the AudioWorklet processor + wasm-bindgen glue
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// INLINED as a string (loaded via a Blob URL, no CDN for the worklet). The
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// only runtime CDN fetches are its single-threaded `df_bg.wasm` and the
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// ONNX `DeepFilterNet3_onnx.tar.gz` model — which we VENDOR locally (under
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// build/denoise-vendor/deepfilternet/) and serve, overriding the package's
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// cdnUrl to our self-hosted base. This keeps the feature CDN-free / Tauri-CSP
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// safe. We copy the ESM (the shim dynamic-imports it, mirroring DTLN) plus
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// the vendored assets, preserving the package's expected v2/... layout. All
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// are required — a missing entry means a broken install, so fail the build.
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const dfnEsm = path.resolve('node_modules/deepfilternet3-noise-filter/dist/index.esm.js');
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const dfnVendor = path.resolve('build/denoise-vendor/deepfilternet');
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const dfnAssets = [
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[dfnEsm, path.join(denoiseDir, 'deepfilternet/index.esm.js')],
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[
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path.join(dfnVendor, 'v2/pkg/df_bg.wasm'),
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path.join(denoiseDir, 'deepfilternet/v2/pkg/df_bg.wasm'),
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],
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[
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path.join(dfnVendor, 'v2/models/DeepFilterNet3_onnx.tar.gz'),
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path.join(denoiseDir, 'deepfilternet/v2/models/DeepFilterNet3_onnx.tar.gz'),
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],
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];
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const dfnMissing = dfnAssets.filter(([s]) => !fs.existsSync(s)).map(([s]) => s);
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if (dfnMissing.length > 0) {
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if (dfnMissing.length > 0) {
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throw new Error(
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throw new Error(
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`[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/.)`,
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'[lotus-denoise] DeepFilterNet 3 asset(s) missing — build aborted to avoid ' +
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'shipping a broken ML feature:\n ' +
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dfnMissing.join('\n ') +
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'\n(Run `npm ci`; the vendored wasm/model live under build/denoise-vendor/deepfilternet/.)',
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);
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);
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}
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}
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dfn.forEach(([s, rel]) => {
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dfnAssets.forEach(([s, d]) => {
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const d = path.join(denoiseDir, rel);
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fs.mkdirSync(path.dirname(d), { recursive: true });
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fs.mkdirSync(path.dirname(d), { recursive: true });
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fs.copyFileSync(s, d);
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fs.copyFileSync(s, d);
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});
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});
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