jackyu66gitandClaude Opus 4.7
6530b20172
- Add continuous guided light-body-scan meditation (16 segments, 97% coverage) - Edge TTS API endpoint with Xiaoxiao neural voice at -40% rate - Pre-generated chime WAVs and guidance MP3s in public/audio/ - Mute toggle in practice page, sequenced non-overlapping audio - Fix middleware to serve /audio and /api/audio/tts without auth - All LLM output localized to Chinese; fix blank home/settings pages - DeepSeek API compat: json_object, increased max_tokens - Analytics, cron reminders, onboarding flow fixes Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
110 lines
3.9 KiB
Bash
Executable File
110 lines
3.9 KiB
Bash
Executable File
#!/bin/bash
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# Generate practice audio assets.
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# Prerequisites: Node.js, Python 3, edge-tts (pip install edge-tts)
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set -e
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AUDIO_DIR="$(cd "$(dirname "$0")/../public/audio" && pwd)"
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mkdir -p "$AUDIO_DIR"
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echo "=== Generating chime sounds (Node.js) ==="
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node -e "
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const fs = require('fs');
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function writeWav(filename, buildSamples, sampleRate, durationSec) {
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const numSamples = Math.floor(sampleRate * durationSec);
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const samples = new Float32Array(numSamples);
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buildSamples(samples, sampleRate, durationSec);
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// Convert to 16-bit PCM
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const buffer = Buffer.alloc(44 + numSamples * 2);
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buffer.write('RIFF', 0);
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buffer.writeUInt32LE(36 + numSamples * 2, 4);
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buffer.write('WAVE', 8);
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buffer.write('fmt ', 12);
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buffer.writeUInt32LE(16, 16); // chunk size
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buffer.writeUInt16LE(1, 20); // PCM
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buffer.writeUInt16LE(1, 22); // mono
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buffer.writeUInt32LE(sampleRate, 24);
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buffer.writeUInt32LE(sampleRate * 2, 28); // byte rate
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buffer.writeUInt16LE(2, 32); // block align
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buffer.writeUInt16LE(16, 34); // bits per sample
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buffer.write('data', 36);
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buffer.writeUInt32LE(numSamples * 2, 40);
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for (let i = 0; i < numSamples; i++) {
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const s = Math.max(-1, Math.min(1, samples[i]));
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buffer.writeInt16LE(Math.round(s * 32767), 44 + i * 2);
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}
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fs.writeFileSync(filename, buffer);
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console.log(' Created:', filename);
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}
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// Bell-like chime: two sine harmonics (fundamental + octave) with quick decay
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function bellTone(t, freq1, freq2, tStart, duration) {
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if (t < tStart || t > tStart + duration) return 0;
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const localT = (t - tStart) / duration;
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const env = Math.exp(-localT * 6); // quick exponential decay
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return 0.35 * env * (
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Math.sin(2 * Math.PI * freq1 * t) * 0.6 +
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Math.sin(2 * Math.PI * freq2 * t) * 0.4
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);
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}
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// Start chime — welcoming ascending bell, 2s
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writeWav('$AUDIO_DIR/start-chime.wav', (samples, sr, dur) => {
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for (let i = 0; i < samples.length; i++) {
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const t = i / sr;
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let v = 0;
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v += bellTone(t, 523.25, 1046.5, 0, 0.9); // C5
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v += bellTone(t, 659.25, 1318.5, 0.15, 0.8); // E5
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v += bellTone(t, 783.99, 1568.0, 0.3, 0.7); // G5
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samples[i] = v;
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}
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}, 44100, 1.8);
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// Soft tick — very short click, 0.08s
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writeWav('$AUDIO_DIR/tick.wav', (samples, sr) => {
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for (let i = 0; i < samples.length; i++) {
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const t = i / sr;
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const env = Math.exp(-t * 80);
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samples[i] = 0.12 * env * Math.sin(2 * Math.PI * 1200 * t);
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}
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}, 44100, 0.08);
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// End chime — resonant closing chord, 3s
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writeWav('$AUDIO_DIR/end-chime.wav', (samples, sr, dur) => {
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for (let i = 0; i < samples.length; i++) {
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const t = i / sr;
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let v = 0;
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v += bellTone(t, 261.63, 523.25, 0, 1.5); // C4 (deeper)
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v += bellTone(t, 329.63, 659.25, 0.12, 1.3); // E4
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v += bellTone(t, 392.00, 783.99, 0.24, 1.1); // G4
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v += bellTone(t, 523.25, 1046.5, 0.36, 0.9); // C5
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samples[i] = v * 0.9;
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}
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}, 44100, 3.0);
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console.log('Chimes done.');
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"
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echo ""
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echo "=== Generating voice guidance (Edge TTS neural voices → mp3) ==="
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# Chinese — Xiaoxiao (warm, mature female)
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python3 -m edge_tts --voice "zh-CN-XiaoxiaoNeural" --rate="-40%" --text "继续专注，你做得很好。" --write-media "$AUDIO_DIR/mid-guidance-zh.mp3"
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echo " Created: mid-guidance-zh.mp3"
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python3 -m edge_tts --voice "zh-CN-XiaoxiaoNeural" --rate="-40%" --text "练习完成。请记录你的感受。" --write-media "$AUDIO_DIR/end-guidance-zh.mp3"
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echo " Created: end-guidance-zh.mp3"
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# English — Aria (neutral, professional female)
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python3 -m edge_tts --voice "en-US-AriaNeural" --rate="-40%" --text "Stay focused. You're doing well." --write-media "$AUDIO_DIR/mid-guidance-en.mp3"
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echo " Created: mid-guidance-en.mp3"
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python3 -m edge_tts --voice "en-US-AriaNeural" --rate="-40%" --text "Practice complete. Take a moment to reflect." --write-media "$AUDIO_DIR/end-guidance-en.mp3"
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echo " Created: end-guidance-en.mp3"
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echo ""
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echo "=== All audio assets generated in $AUDIO_DIR ==="
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ls -lh "$AUDIO_DIR"
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