llm-test-bench 0.1.0

use anyhow::Result;
use clap::Args;
use std::path::PathBuf;

#[derive(Args, Debug)]
pub struct EvalArgs {
    /// Path to results file to evaluate
    #[arg(short, long)]
    pub results: PathBuf,

    /// Metrics to compute (comma-separated: accuracy,latency,cost,all)
    #[arg(short, long, value_delimiter = ',', default_value = "all")]
    pub metrics: Vec<String>,

    /// Baseline results file for comparison
    #[arg(short, long)]
    pub baseline: Option<PathBuf>,

    /// Output directory for evaluation report
    #[arg(short, long, default_value = "./evaluation-results")]
    pub output: PathBuf,

    /// Report format (json, html, markdown, text)
    #[arg(short, long, default_value = "text")]
    pub format: String,

    /// Generate charts and visualizations
    #[arg(long)]
    pub visualize: bool,

    /// Threshold for success rate (0.0-1.0)
    #[arg(long, default_value = "0.95")]
    pub threshold: f64,

    /// Export detailed metrics to file
    #[arg(long)]
    pub export_metrics: Option<PathBuf>,
}

pub async fn execute(args: EvalArgs, verbose: bool) -> Result<()> {
    println!("📈 LLM Evaluation Command\n");

    if verbose {
        println!("Arguments received:");
        println!("  Results: {}", args.results.display());
        println!("  Metrics: {:?}", args.metrics);
        if let Some(ref baseline) = args.baseline {
            println!("  Baseline: {}", baseline.display());
        }
        println!("  Output: {}", args.output.display());
        println!("  Format: {}", args.format);
        println!();
    }

    // Validate results path
    if !args.results.exists() {
        anyhow::bail!("Results file not found: {}", args.results.display());
    }

    // Validate baseline path if provided
    if let Some(ref baseline) = args.baseline {
        if !baseline.exists() {
            anyhow::bail!("Baseline file not found: {}", baseline.display());
        }
    }

    // Validate metrics
    let valid_metrics = vec!["accuracy", "latency", "cost", "tokens", "quality", "all"];
    for metric in &args.metrics {
        if !valid_metrics.contains(&metric.as_str()) {
            println!("⚠️  Warning: '{}' is not a recognized metric.", metric);
            println!("   Valid metrics: {}", valid_metrics.join(", "));
        }
    }

    // Validate threshold
    if !(0.0..=1.0).contains(&args.threshold) {
        anyhow::bail!("Threshold must be between 0.0 and 1.0");
    }

    println!("📋 Evaluation Configuration:");
    println!("  Results file: {}", args.results.display());
    println!("  Metrics: {}", args.metrics.join(", "));

    if let Some(ref baseline) = args.baseline {
        println!("  Baseline comparison: {}", baseline.display());
    }

    println!("  Success threshold: {:.1}%", args.threshold * 100.0);
    println!("  Output format: {}", args.format);

    if args.visualize {
        println!("  Visualizations: enabled");
    }

    println!("\n⏳ Coming in Phase 4!");
    println!("\nThe 'eval' command will be fully implemented in Phase 4 with:");
    println!("  • Comprehensive metrics calculation:");
    println!("    - Accuracy (exact match, semantic similarity)");
    println!("    - Latency (mean, median, percentiles)");
    println!("    - Cost analysis (per request, total)");
    println!("    - Token usage statistics");
    println!("    - Quality scores (coherence, relevance)");
    println!("  • Baseline comparison with regression detection");
    println!("  • Statistical significance testing");
    println!("  • Rich visualizations (charts, graphs)");
    println!("  • HTML/Markdown/JSON report generation");
    println!("  • Pass/fail determination based on thresholds");
    println!("  • Historical tracking and trends");

    println!("\n💡 Tip: Run benchmarks first to generate results files:");
    println!("   llm-test-bench bench --dataset ./data.json --providers openai,anthropic");

    if let Some(ref export_path) = args.export_metrics {
        println!("\nDetailed metrics would be exported to: {}", export_path.display());
    }

    Ok(())
}

#[cfg(test)]
mod tests {
    use super::*;
    use std::path::PathBuf;

    #[test]
    fn test_eval_args_creation() {
        let args = EvalArgs {
            results: PathBuf::from("./results.json"),
            metrics: vec!["accuracy".to_string(), "latency".to_string()],
            baseline: Some(PathBuf::from("./baseline.json")),
            output: PathBuf::from("./eval"),
            format: "html".to_string(),
            visualize: true,
            threshold: 0.95,
            export_metrics: None,
        };

        assert_eq!(args.metrics.len(), 2);
        assert_eq!(args.threshold, 0.95);
        assert!(args.visualize);
    }

    #[test]
    fn test_threshold_validation() {
        // This would be tested in the actual execution
        assert!((0.0..=1.0).contains(&0.95));
        assert!(!(0.0..=1.0).contains(&1.5));
    }
}