hlx 1.2.5

Configuration language designed specifically for ml/ai/data systems
Documentation 
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use std::path::PathBuf;

struct Decompiler {
    verbose: bool,
}
//todo placeholder for now
impl Decompiler {
    fn new(verbose: bool) -> Self {
        Self { verbose }
    }

    fn decompile(&self, _binary: &crate::dna::hel::binary::HelixBinary) -> Result<String, Box<dyn std::error::Error>> {
        Ok("// Decompiled placeholder\n".to_string())
    }
}

pub fn decompile_command(
    input: PathBuf,
    output: Option<PathBuf>,
    decompress: bool,
    verbose: bool,
    quiet: bool,
) -> Result<(), Box<dyn std::error::Error>> {
    let output_path = output.unwrap_or_else(|| {
        let mut path = input.clone();
        path.set_extension("hlx");
        path
    });

    if verbose {
        println!("🔓 Decompiling: {}", input.display());
        println!("  Decompression: {}", if decompress { "Enabled" } else { "Disabled" });
    }

    let serializer = crate::mds::serializer::BinarySerializer::new(decompress);
    let binary = serializer.read_from_file(&input)?;
    let decompiler = Decompiler::new(verbose);
    let source = decompiler.decompile(&binary)?;

    std::fs::write(&output_path, source)?;

    println!("✅ Decompiled successfully: {}", output_path.display());
    if verbose {
        let stats = binary.symbol_table.stats();
        println!(
            "  Strings: {} (unique: {})", stats.total_strings, stats.unique_strings
        );
        println!("  Agents: {}", stats.agents);
        println!("  Workflows: {}", stats.workflows);
    }
    Ok(())
}

fn decompile_with_progress(
    input: PathBuf,
    output: Option<PathBuf>,
    decompress: bool,
    verbose: bool,
) -> Result<(), Box<dyn std::error::Error>> {
    use indicatif::{ProgressBar, ProgressStyle};

    let pb = ProgressBar::new(100);
    pb.set_style(
        ProgressStyle::default_bar()
            .template(
                "{spinner:.green} [{elapsed_precise}] [{bar:40.cyan/blue}] {pos}/{len} {msg}",
            )
            .unwrap()
            .progress_chars("#>-"),
    );

    pb.set_message("📖 Loading binary file...");
    pb.inc(20);
    let serializer = crate::mds::serializer::BinarySerializer::new(decompress);
    let binary = serializer.read_from_file(&input)?;
    pb.set_message("🔍 Analyzing binary...");
    pb.inc(20);

    if verbose {
        println!("  📊 Binary analysis: Extracting structure...");
    }

    pb.set_message("🔓 Decompiling...");
    pb.inc(40);
    let decompiler = Decompiler::new(verbose);
    let source = decompiler.decompile(&binary)?;

    pb.set_message("💾 Writing source file...");
    pb.inc(15);

    let output_path = output.unwrap_or_else(|| {
        let mut path = input.clone();
        path.set_extension("hlx");
        path
    });
    std::fs::write(&output_path, source)?;

    pb.finish_with_message("✅ Decompilation completed successfully!");

    if verbose {
        println!("🚀 Decompilation completed using all Helix modules!");
        let stats = binary.symbol_table.stats();
        println!("  📊 Binary analysis: ✅");
        println!("  🔓 Decompiling: ✅");
        println!(
            "  Strings: {} (unique: {})", stats.total_strings, stats.unique_strings
        );
        println!("  Agents: {}", stats.agents);
        println!("  Workflows: {}", stats.workflows);
    }
    Ok(())
}