Files
SoulStream/crates/player/src/waveform.rs
T

316 lines
11 KiB
Rust

//! Waveform extraction: decode an audio file and downsample it to a small
//! array of normalized 0..1 loudness values, for a waveform scrubber.
//!
//! Uses RMS energy per window, not peak amplitude: modern masters are
//! limited so hard that nearly every window's *peak* touches the digital
//! ceiling, which renders as a clipped brick. RMS tracks perceived
//! loudness and keeps the verse/chorus dynamics visible.
use std::path::Path;
use symphonia::core::audio::SampleBuffer;
use symphonia::core::codecs::DecoderOptions;
use symphonia::core::formats::{FormatOptions, SeekMode, SeekTo};
use symphonia::core::io::MediaSourceStream;
use symphonia::core::meta::MetadataOptions;
use symphonia::core::probe::Hint;
use symphonia::core::units::Time;
/// Peaks folded over this many frames before resampling to the final bucket
/// count. Keeps memory bounded regardless of track length.
const WINDOW: usize = 1024;
/// Decode `path` and return `buckets` normalized peak values (0.0..=1.0).
/// Returns an empty vec on any decode failure.
pub fn compute_waveform(path: &Path, buckets: usize) -> Vec<f32> {
match try_compute(path, buckets) {
Ok(v) => v,
Err(e) => {
log::debug!("waveform for {} failed: {e}", path.display());
Vec::new()
}
}
}
/// Like [`compute_waveform`], but for one SLICE of the file — the setlist
/// segment rows' lane. `end_secs: None` runs to the file's end. The decode
/// seeks coarsely and then trims by packet timestamps, so a 4-minute slice
/// of a 90-minute set costs a 4-minute decode, not a 90-minute one.
pub fn compute_waveform_range(
path: &Path,
buckets: usize,
start_secs: f64,
end_secs: Option<f64>,
) -> Vec<f32> {
match coarse_rms_range(path, start_secs, end_secs).map(|c| resample(&c, buckets)) {
Ok(v) => v,
Err(e) => {
log::debug!("range waveform for {} failed: {e}", path.display());
Vec::new()
}
}
}
fn try_compute(path: &Path, buckets: usize) -> Result<Vec<f32>, String> {
Ok(resample(&coarse_rms(path)?, buckets))
}
/// Decode `path` into one RMS value per [`WINDOW`] frames (~23ms at 44.1kHz).
///
/// Split out from [`try_compute`] so the bucketing strategy can be measured
/// against a real decode without re-reading the file per variant — see
/// `bucketing_strategies_on_a_real_track`.
fn coarse_rms(path: &Path) -> Result<Vec<f32>, String> {
coarse_rms_range(path, 0.0, None)
}
fn coarse_rms_range(
path: &Path,
start_secs: f64,
end_secs: Option<f64>,
) -> Result<Vec<f32>, String> {
let file = std::fs::File::open(path).map_err(|e| e.to_string())?;
let mss = MediaSourceStream::new(Box::new(file), Default::default());
let mut hint = Hint::new();
if let Some(ext) = path.extension().and_then(|e| e.to_str()) {
// Stream partials are "<name>.<ext>.partial" — hint the codec ext.
let ext = if ext.eq_ignore_ascii_case("partial") {
path.file_stem()
.map(Path::new)
.and_then(|p| p.extension())
.and_then(|e| e.to_str())
.unwrap_or(ext)
} else {
ext
};
hint.with_extension(ext);
}
let probed = symphonia::default::get_probe()
.format(
&hint,
mss,
&FormatOptions::default(),
&MetadataOptions::default(),
)
.map_err(|e| e.to_string())?;
let mut format = probed.format;
let track = format
.default_track()
.ok_or_else(|| "no default track".to_string())?;
let track_id = track.id;
let time_base = track.codec_params.time_base;
let sample_rate = track.codec_params.sample_rate;
let mut decoder = symphonia::default::get_codecs()
.make(&track.codec_params, &DecoderOptions::default())
.map_err(|e| e.to_string())?;
if start_secs > 0.0 {
// A coarse seek lands at a sync point near (usually before) the
// target; the timestamp gate in the loop trims the difference. A
// format that cannot seek just decodes from the top — slower, same
// result.
let _ = format.seek(
SeekMode::Coarse,
SeekTo::Time {
time: Time::from(start_secs),
track_id: Some(track_id),
},
);
decoder.reset();
}
let mut sample_buf: Option<SampleBuffer<f32>> = None;
let mut coarse: Vec<f32> = Vec::new();
let mut win_energy = 0f64;
let mut win_count = 0usize;
// When the container carries no timestamps, the slice is bounded by
// counted frames from wherever the seek landed instead.
let mut frames_seen: u64 = 0;
loop {
let packet = match format.next_packet() {
Ok(p) => p,
Err(_) => break, // EOF or error → stop with what we have
};
if packet.track_id() != track_id {
continue;
}
// Where this packet sits in the file, when the format can say.
let packet_secs = time_base.map(|tb| {
let t = tb.calc_time(packet.ts());
t.seconds as f64 + t.frac
});
if let Some(t) = packet_secs {
if t < start_secs {
// Before the slice: decode and discard, keeping codec state
// warm across the boundary.
let _ = decoder.decode(&packet);
continue;
}
if end_secs.is_some_and(|end| t >= end) {
break;
}
}
let decoded = match decoder.decode(&packet) {
Ok(d) => d,
Err(symphonia::core::errors::Error::DecodeError(_)) => continue,
Err(_) => break,
};
let spec = *decoded.spec();
let channels = spec.channels.count().max(1);
if sample_buf.is_none() {
sample_buf = Some(SampleBuffer::new(decoded.capacity() as u64, spec));
}
let sb = sample_buf.as_mut().unwrap();
sb.copy_interleaved_ref(decoded);
for frame in sb.samples().chunks(channels) {
let energy =
frame.iter().map(|&s| (s as f64) * (s as f64)).sum::<f64>() / channels as f64;
win_energy += energy;
win_count += 1;
if win_count >= WINDOW {
coarse.push((win_energy / WINDOW as f64).sqrt() as f32);
win_energy = 0.0;
win_count = 0;
}
}
if packet_secs.is_none() {
frames_seen += (sb.samples().len() / channels) as u64;
if let (Some(end), Some(rate)) = (end_secs, sample_rate) {
if frames_seen as f64 / rate as f64 >= end - start_secs {
break;
}
}
}
}
if win_count > 0 {
coarse.push((win_energy / win_count as f64).sqrt() as f32);
}
Ok(coarse)
}
/// Downsample `coarse` RMS values to exactly `buckets`, averaging each
/// span, then normalize so the loudest bucket is 1.0.
fn resample(coarse: &[f32], buckets: usize) -> Vec<f32> {
let mut out = vec![0f32; buckets];
if coarse.is_empty() || buckets == 0 {
return out;
}
for (b, slot) in out.iter_mut().enumerate() {
let start = b * coarse.len() / buckets;
let end = (((b + 1) * coarse.len() / buckets).max(start + 1)).min(coarse.len());
let span = &coarse[start..end];
*slot = span.iter().sum::<f32>() / span.len() as f32;
}
let max = out.iter().fold(0f32, |m, &v| m.max(v));
if max > 0.0 {
for v in out.iter_mut() {
*v /= max;
}
}
out
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn resample_normalizes() {
let coarse = vec![0.2, 0.4, 0.8, 0.1, 0.6, 0.3];
let out = resample(&coarse, 3);
assert_eq!(out.len(), 3);
assert!((out.iter().cloned().fold(0f32, f32::max) - 1.0).abs() < 1e-6);
}
#[test]
fn empty_input() {
assert_eq!(resample(&[], 5), vec![0.0; 5]);
}
/// How much of the track's dynamics survive the trip to the UI?
///
/// The lane looked flat no matter what the frontend did with the numbers,
/// so this measures where the range actually goes. It decodes a real file
/// once and re-buckets that single RMS pass four ways, printing the spread
/// of each and dumping them as JSON for the shaping mockup.
///
/// ```text
/// $env:SOULSTREAM_WF_FILE = "C:\path\to\track.flac"
/// $env:SOULSTREAM_WF_DUMP = "C:\path\to\out.json"
/// cargo test -p player bucketing_strategies -- --ignored --nocapture
/// ```
#[test]
#[ignore = "decodes a real audio file named by SOULSTREAM_WF_FILE"]
fn bucketing_strategies_on_a_real_track() {
let Ok(file) = std::env::var("SOULSTREAM_WF_FILE") else {
panic!("set SOULSTREAM_WF_FILE to an audio file");
};
let coarse = coarse_rms(Path::new(&file)).expect("decode");
println!(
"{} RMS windows of {WINDOW} frames (~{:.1}s of audio)",
coarse.len(),
coarse.len() as f32 * WINDOW as f32 / 44100.0,
);
// Each strategy takes the same spans; only the statistic differs.
fn fold(coarse: &[f32], buckets: usize, pick: impl Fn(&[f32]) -> f32) -> Vec<f32> {
let mut out = vec![0f32; buckets];
for (b, slot) in out.iter_mut().enumerate() {
let start = b * coarse.len() / buckets;
let end = (((b + 1) * coarse.len() / buckets).max(start + 1)).min(coarse.len());
*slot = pick(&coarse[start..end]);
}
let max = out.iter().fold(0f32, |m, &v| m.max(v));
if max > 0.0 {
for v in out.iter_mut() {
*v /= max;
}
}
out
}
let mean = |s: &[f32]| s.iter().sum::<f32>() / s.len() as f32;
let peak = |s: &[f32]| s.iter().fold(0f32, |m, &v| m.max(v));
let blend = move |s: &[f32]| mean(s) * 0.35 + peak(s) * 0.65;
let mut dump = serde_json::Map::new();
for (buckets, label) in [(400usize, "400"), (2000usize, "2000")] {
for (name, values) in [
("mean", fold(&coarse, buckets, mean)),
("peak", fold(&coarse, buckets, peak)),
("blend", fold(&coarse, buckets, blend)),
] {
let mut sorted = values.clone();
sorted.sort_by(|a, b| a.partial_cmp(b).unwrap());
let q = |f: f32| sorted[((f * (sorted.len() - 1) as f32) as usize).min(sorted.len() - 1)];
let avg = values.iter().sum::<f32>() / values.len() as f32;
let sd = (values.iter().map(|v| (v - avg).powi(2)).sum::<f32>()
/ values.len() as f32)
.sqrt();
println!(
"{label:>5} {name:<6} p05 {:.3} p50 {:.3} p95 {:.3} IQR {:.3} sigma {:.3}",
q(0.05),
q(0.50),
q(0.95),
q(0.75) - q(0.25),
sd,
);
dump.insert(
format!("{name}{label}"),
serde_json::json!(values.iter().map(|v| (v * 10000.0).round() / 10000.0).collect::<Vec<_>>()),
);
}
}
if let Ok(out) = std::env::var("SOULSTREAM_WF_DUMP") {
std::fs::write(&out, serde_json::to_string(&dump).unwrap()).expect("write dump");
println!("wrote {out}");
}
}
}