"""Command-line interface for Eclipsera."""
import argparse
import sys

from ..__version__ import __version__


def main() -> int:
    """Main CLI entry point.
    
    Returns
    -------
    exit_code : int
        Exit code (0 for success, non-zero for errors).
    """
    parser = argparse.ArgumentParser(
        prog="eclipsera",
        description="Eclipsera - Production-grade machine learning framework",
        formatter_class=argparse.RawDescriptionHelpFormatter,
    )
    
    parser.add_argument(
        "--version",
        action="version",
        version=f"Eclipsera {__version__}",
    )
    
    subparsers = parser.add_subparsers(dest="command", help="Available commands")
    
    # Info command
    info_parser = subparsers.add_parser("info", help="Show version and system information")
    
    # Train command (placeholder)
    train_parser = subparsers.add_parser("train", help="Train a model")
    train_parser.add_argument("--config", type=str, help="Configuration file")
    train_parser.add_argument("--data", type=str, help="Training data path")
    train_parser.add_argument("--model", type=str, help="Model type")
    
    # Predict command (placeholder)
    predict_parser = subparsers.add_parser("predict", help="Make predictions")
    predict_parser.add_argument("--model", type=str, required=True, help="Model path")
    predict_parser.add_argument("--data", type=str, required=True, help="Input data path")
    predict_parser.add_argument("--output", type=str, help="Output path")
    
    # Evaluate command (placeholder)
    evaluate_parser = subparsers.add_parser("evaluate", help="Evaluate a model")
    evaluate_parser.add_argument("--model", type=str, required=True, help="Model path")
    evaluate_parser.add_argument("--data", type=str, required=True, help="Test data path")
    
    # Parse arguments
    args = parser.parse_args()
    
    if args.command == "info":
        return cmd_info()
    elif args.command == "train":
        return cmd_train(args)
    elif args.command == "predict":
        return cmd_predict(args)
    elif args.command == "evaluate":
        return cmd_evaluate(args)
    else:
        parser.print_help()
        return 1


def cmd_info() -> int:
    """Show version and system information.
    
    Returns
    -------
    exit_code : int
        Exit code (0 for success).
    """
    from .. import show_versions
    
    show_versions()
    return 0


def cmd_train(args: argparse.Namespace) -> int:
    """Train a model.
    
    Parameters
    ----------
    args : Namespace
        Parsed command-line arguments.
    
    Returns
    -------
    exit_code : int
        Exit code (0 for success).
    """
    print("Training functionality coming soon...")
    print(f"Config: {args.config}")
    print(f"Data: {args.data}")
    print(f"Model: {args.model}")
    return 0


def cmd_predict(args: argparse.Namespace) -> int:
    """Make predictions.
    
    Parameters
    ----------
    args : Namespace
        Parsed command-line arguments.
    
    Returns
    -------
    exit_code : int
        Exit code (0 for success).
    """
    print("Prediction functionality coming soon...")
    print(f"Model: {args.model}")
    print(f"Data: {args.data}")
    print(f"Output: {args.output}")
    return 0


def cmd_evaluate(args: argparse.Namespace) -> int:
    """Evaluate a model.
    
    Parameters
    ----------
    args : Namespace
        Parsed command-line arguments.
    
    Returns
    -------
    exit_code : int
        Exit code (0 for success).
    """
    print("Evaluation functionality coming soon...")
    print(f"Model: {args.model}")
    print(f"Data: {args.data}")
    return 0


if __name__ == "__main__":
    sys.exit(main())
