"""CLI script to evaluate the trained model."""
import sys
from pathlib import Path
import argparse

# Add project root to path
project_root = Path(__file__).parent.parent
sys.path.insert(0, str(project_root))

from mlpipeline.components.model_evaluation import ModelEvaluation
from mlpipeline.config.configuration import ConfigurationManager
from mlpipeline.logging.logger import get_logger

logger = get_logger(__name__)


def main():
    """Evaluate the trained model."""
    parser = argparse.ArgumentParser(description="Evaluate AutoML model")
    parser.add_argument(
        "--model-path",
        type=str,
        default=None,
        help="Path to model directory (default: from config)"
    )
    args = parser.parse_args()

    try:
        logger.info("Starting model evaluation...")
        config_manager = ConfigurationManager()
        eval_config = config_manager.get_model_evaluation_config()
        
        # Override model path if provided
        if args.model_path:
            eval_config.model_path = Path(args.model_path)
        
        evaluator = ModelEvaluation(eval_config)
        metrics = evaluator.evaluate()
        
        logger.info("✅ Evaluation completed!")
        logger.info(f"Metrics: {metrics}")
        return 0
    except Exception as e:
        logger.error(f"❌ Evaluation failed: {e}")
        return 1


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