import logging

# Configure logging
logging.basicConfig(
    level=logging.INFO,
    format="%(asctime)s [%(levelname)s] %(name)s - %(message)s",
)
logger = logging.getLogger(__name__)

def __main__(
        hd_score_m1: float
    ) -> dict:
    """
    Computes recommended action based on hd_score_m1 and returns relevant details.
    """

    score_threshold = 1200

    # Compute recommended_action
    try:
        recommended_action = (
            "Decline Application" 
            if hd_score_m1 > score_threshold 
            else "Pass Application"
        )
        logging.info(f"recommended_action: {recommended_action}")
    except Exception as e:
        logging.error(f"Error assigning recommended_action: {e}")
        return {}

    # Compute description
    try:
        if hd_score_m1 > score_threshold:
            description = (
                f"HD Fraud Score M1 is above the risk threshold {score_threshold}, "
                f"Recommended action: Decline Application"
            )
        else:
            description = (
                f"HD Fraud Score M1 is below the risk threshold {score_threshold}, "
                f"Recommended action: Pass Application"
            )
        logging.info(f"description: {description}")
    except Exception as e:
        logging.error(f"Error assigning description: {e}")
        return {}

    # Compute action_reasoncode
    try:
        # For multiple checks, you might iterate over a dictionary. For now, a single check suffices:
        if hd_score_m1 > score_threshold:
            hd_action_reasoncode = "M1 Triggered"
        else:
            hd_action_reasoncode = "Pass"

        logging.info(f"action_reasoncode: {hd_action_reasoncode}")
    except Exception as e:
        logging.error(f"Error compiling action_reasoncode: {e}")
        return {}

    return {
        "hd_score_m1": hd_score_m1,
        "recommended_action": recommended_action,
        "description": description,
        "hd_action_reasoncode": hd_action_reasoncode,
    }