import logging

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

def pre_processing(results):
    result = results[0]
    dtypes = {
        "hd_score_m1": float,
        "cluster_size_users_v2": float,
        "target_connected_30_sum": float,
        "email_cnt": float,
        "rejected_app_count": float,
        "app_dt_day_cnt": float
    }
    data = {
        "hd_score_m1": result["hd_score_m1"],
        "cluster_size_users_v2": result["cluster_size_users_v2"],
        "target_connected_30_sum": result["target_connected_30_sum"],
        "email_cnt": result["email_cnt"],
        "rejected_app_count": result["rejected_app_count"],
        "app_dt_day_cnt": result["app_dt_day_cnt"],
        "cluster_size": result["cluster_size"],
    }

    for col, dtype in dtypes.items():
        if col in data:
            value = str(data[col]).strip()
            data[col] = dtype(value) if value.replace(".", "", 1).isdigit() else None

    return data