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 tabular files.
//!

use crate::core::df::tabular;
use crate::error::OxenError;
use crate::model::metadata::MetadataTabular;

use std::path::Path;

/// Detects the tabular metadata for the given file.
pub fn get_metadata(path: impl AsRef<Path>) -> Result<MetadataTabular, OxenError> {
    let path = path.as_ref();
    let size = tabular::get_size(path)?;
    let schema = tabular::get_schema(path)?;
    Ok(MetadataTabular::new(size.width, size.height, schema))
}

pub fn get_metadata_with_extension(
    path: impl AsRef<Path>,
    extension: &str,
) -> Result<MetadataTabular, OxenError> {
    let path = path.as_ref();
    let size = tabular::get_size_with_extension(path, Some(extension))?;
    let schema = tabular::get_schema_with_extension(path, Some(extension))?;
    Ok(MetadataTabular::new(size.width, size.height, schema))
}

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

    #[test]
    fn test_get_metadata_tabular() {
        let file = test::test_text_file_with_name("celeb_a_200k.csv");
        let metadata = repositories::metadata::get(file).unwrap();

        assert!(metadata.size >= 9604701); // not sure why different on windows
        assert_eq!(metadata.data_type, EntryDataType::Tabular);
        assert_eq!(metadata.mime_type, "text/plain");

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

        assert_eq!(metadata.tabular.width, 11);
        assert_eq!(metadata.tabular.height, 200_000);
    }
}