mikkeli
e8da88b6c1
The FastAPI backend kept one analysis session shared by every visitor and spooled each upload to the server's /tmp, and the browser copied audio into persistent OPFS storage. None of that fits a tool for unreleased masters, so the web UI is now a static site that decodes and analyses in the tab: - web/decode.js: WAV/AIFF PCM and float read directly with libsndfile's scaling (bit-identical to librosa.load; Chromium's WAV decoder scales positive int16 by 1/32767), other formats via decodeAudioData on an OfflineAudioContext at the header-sniffed native rate. ID3 song names. - web/dsp.js: ports of every Metric.compute with the same numerics (pyloudnorm K-weighting via lfilter's DF2T recurrence, BS.1770 gating, EBU LRA, resample_poly's Kaiser filter for true peak, librosa.stft and amplitude_to_db), streaming passes with no signal-length intermediates. - web/metrics.js: build_spec ports producing the existing plot payload. - web/analysis-worker.js + app.js: per-tab track list and result cache, a worker job queue where the visible metric jumps background prefetch, and the renderer, which now also draws the metrics' own reference lines. Deployment is nginx-unprivileged serving web/ read-only with Content-Security-Policy connect-src 'none', so the page cannot make network requests at all, and no access log. No secure context is needed, so plain http on a LAN works. The Python web backend, its smoke test, the web extra and the OPFS store are removed; the desktop app is unchanged. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015UXA39Sh9coAx4FhRkd8R2
50 lines
1.7 KiB
JavaScript
50 lines
1.7 KiB
JavaScript
// SPDX-License-Identifier: Apache-2.0
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//
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// Analysis worker: the browser's AnalysisResultsManager worker thread.
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//
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// Holds each loaded track's mono signal (transferred in, never copied) and runs
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// one metric at a time on request, so a 10-minute spectrogram never blocks the
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// page. Everything stays in this tab's memory; closing the tab frees it.
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//
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// Messages in: {type: 'load', trackId, mono, sampleRate}
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// {type: 'compute', reqId, trackId, metricId}
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// {type: 'drop', trackId}
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// Messages out: {type: 'result', reqId, trackId, metricId, data, ms}
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// {type: 'error', reqId, trackId, metricId, message}
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import { COMPUTE, transferables } from './dsp.js';
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const tracks = new Map(); // trackId -> {mono, sampleRate, memo}
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self.onmessage = (event) => {
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const msg = event.data;
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if (msg.type === 'load') {
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tracks.set(msg.trackId, { mono: msg.mono, sampleRate: msg.sampleRate, memo: {} });
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return;
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}
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if (msg.type === 'drop') {
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tracks.delete(msg.trackId);
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return;
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}
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if (msg.type !== 'compute') return;
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const { reqId, trackId, metricId } = msg;
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const track = tracks.get(trackId);
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const compute = COMPUTE[metricId];
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if (!track || !compute) {
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self.postMessage({
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type: 'error', reqId, trackId, metricId,
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message: track ? `unknown metric ${metricId}` : 'track is no longer loaded',
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});
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return;
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}
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try {
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const t0 = performance.now();
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const data = compute(track.mono, track.sampleRate, track.memo);
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const ms = performance.now() - t0;
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self.postMessage({ type: 'result', reqId, trackId, metricId, data, ms }, transferables(data));
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} catch (err) {
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self.postMessage({ type: 'error', reqId, trackId, metricId, message: String((err && err.message) || err) });
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}
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};
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