liboxen 0.53.0

Oxen is a fast data version control system, built with machine learning training data in mind. Designed to handle terabytes of data with ease, using a workflow similar to git. Version both structured and unstructured data of any modality: text, images, video, audio, CSV, Parquet, JSONL, model checkpoints, and more. liboxen is the embeddable core library behind the oxen CLI and server, which power fine tuning and inference pipelines for multimodal LLMs, image models, and video models on Oxen.ai.
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//! Helper functions to get metadata from audio files.
//!

use crate::{error::OxenError, model::metadata::MetadataAudio};

use lofty::file::AudioFile;
use lofty::probe::Probe;
use std::path::Path;

/// Detects the audio metadata for the given file.
pub fn get_metadata(path: impl AsRef<Path>) -> Result<MetadataAudio, OxenError> {
    let path = path.as_ref();
    match Probe::open(path) {
        Ok(tagged_file) => match tagged_file.read() {
            Ok(tagged_file) => {
                let properties = tagged_file.properties();
                let duration = properties.duration();
                let seconds = duration.as_secs_f64();
                let rate = properties.sample_rate().unwrap_or(0);
                let channels = properties.channels().unwrap_or(0);

                Ok(MetadataAudio::new(
                    seconds,
                    channels as usize,
                    rate as usize,
                ))
            }
            Err(err) => {
                let error_str = format!("Could not read audio stream from {path:?} {err}");
                Err(OxenError::basic_str(error_str))
            }
        },
        Err(err) => {
            let error_str = format!("Could not probe audio stream from {path:?}: {err}");
            Err(OxenError::basic_str(error_str))
        }
    }
}

#[cfg(test)]
mod tests {
    use crate::model::EntryDataType;
    use crate::model::metadata::MetadataAudio;
    use crate::model::metadata::generic_metadata::GenericMetadata;
    use crate::repositories;
    use crate::test;

    use approx::assert_relative_eq;

    #[test]
    fn test_get_metadata_audio_flac() {
        let file = test::test_audio_file_with_name("121-121726-0005.flac");
        let metadata = repositories::metadata::get(file).unwrap();

        println!("metadata: {metadata:?}");

        assert_eq!(metadata.size, 37096);
        assert_eq!(metadata.data_type, EntryDataType::Audio);
        assert_eq!(metadata.mime_type, "audio/x-flac");

        assert!(metadata.metadata.is_some());
        let metadata: MetadataAudio = match metadata.metadata.unwrap() {
            GenericMetadata::MetadataAudio(metadata) => metadata,
            _ => panic!("Wrong metadata type"),
        };

        assert_eq!(metadata.audio.num_channels, 1);
        assert_eq!(metadata.audio.sample_rate, 16000);
        assert_relative_eq!(metadata.audio.num_seconds, 3.1);
    }

    #[test]
    fn test_get_metadata_audio_wav() {
        let file = test::test_audio_file_with_name("121-121726-0005.wav");
        let metadata = repositories::metadata::get(file).unwrap();

        println!("metadata: {metadata:?}");

        assert_eq!(metadata.size, 99278);
        assert_eq!(metadata.data_type, EntryDataType::Audio);
        assert_eq!(metadata.mime_type, "audio/x-wav");

        assert!(metadata.metadata.is_some());
        let metadata: MetadataAudio = match metadata.metadata.unwrap() {
            GenericMetadata::MetadataAudio(metadata) => metadata,
            _ => panic!("Wrong metadata type"),
        };

        assert_eq!(metadata.audio.num_channels, 1);
        assert_eq!(metadata.audio.sample_rate, 16000);
        assert_relative_eq!(metadata.audio.num_seconds, 3.1);
    }
}