xberg-cli 1.3.2

//! NER model download commands.
//!
//! Eagerly fetches GLiNER ONNX models into the standard Hugging Face Hub
//! cache so air-gapped / container-pre-bake workflows do not need a network
//! call at inference time.

use anyhow::{Context, Result};
use std::path::PathBuf;

/// Resolve the set of GLiNER NER models requested by cache-warm flags.
pub fn select_models(ner: bool, models: Vec<String>, all: bool) -> Result<Vec<String>> {
    for model in &models {
        if model.trim().is_empty() {
            anyhow::bail!("Field 'ner_model' must not be empty. Omit the field or provide a valid model name.");
        }
    }

    let mut to_download: Vec<String> = Vec::new();

    if all {
        to_download.extend(xberg::text::ner::known_models().iter().map(|s| s.to_string()));
    } else if !models.is_empty() {
        to_download.extend(models);
    } else if ner {
        to_download.push(xberg::text::ner::default_model_name().to_string());
    } else {
        anyhow::bail!("No NER model specified. Use --ner, --ner-model <MODEL>, or --all-ner-models.");
    }

    Ok(to_download)
}

/// Download selected GLiNER NER models and return human-readable result labels.
///
/// `cache_dir`, when provided, is an explicit Hugging Face Hub cache root. A
/// missing value preserves the standard `HF_HUB_CACHE` / `HF_HOME` behavior.
pub fn download_models(models: &[String], cache_dir: Option<PathBuf>) -> Result<Vec<String>> {
    let mut downloaded: Vec<String> = Vec::with_capacity(models.len());
    for repo in models {
        let path = xberg::text::ner::download_model(repo, cache_dir.clone())
            .with_context(|| format!("Failed to download NER model '{repo}'"))?;
        downloaded.push(format!("{repo} -> {} (Hugging Face cache)", path.display()));
    }

    Ok(downloaded)
}

#[cfg(test)]
mod tests {
    use super::select_models;

    #[test]
    fn select_models_uses_default_when_ner_flag_is_set() {
        let models = select_models(true, Vec::new(), false).unwrap();

        assert_eq!(models, vec![xberg::text::ner::default_model_name()]);
    }

    #[test]
    fn select_models_uses_explicit_models() {
        let models = select_models(false, vec!["gliner_small-v2.5".to_string()], false).unwrap();

        assert_eq!(models, vec!["gliner_small-v2.5"]);
    }

    #[test]
    fn select_models_rejects_blank_model() {
        let error = select_models(false, vec!["   ".to_string()], false).unwrap_err();

        assert!(error.to_string().contains("must not be empty"));
    }
}