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
1 line
1.8 KiB
CSS
1 line
1.8 KiB
CSS
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