36 lines
1.0 KiB
Python
36 lines
1.0 KiB
Python
import logging
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from rules_processing import processing
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# Configure logging
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logging.basicConfig(
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level=logging.INFO,
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format="%(asctime)s [%(levelname)s] %(name)s - %(message)s",
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)
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logger = logging.getLogger(__name__)
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def __main__(
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hd_score_m1: float,
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hd_score_g1: float,
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cluster_size_users_v2: int,
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target_connected_30_sum: float,
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email_cnt: int,
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rejected_app_count: float,
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app_dt_day_cnt: int,
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hd_score_iso_m2: float
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) -> dict:
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# Create a dictionary instead of using pandas DataFrame
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data = {
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"hd_score_m1": hd_score_m1,
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"hd_score_g1": hd_score_g1,
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"cluster_size_users_v2": cluster_size_users_v2,
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"target_connected_30_sum": target_connected_30_sum,
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"email_cnt": email_cnt,
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"rejected_app_count": rejected_app_count,
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"app_dt_day_cnt": app_dt_day_cnt,
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"hd_score_iso_m2": hd_score_iso_m2,
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}
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final = processing(data)
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logger.info(f"scores of application: {final}")
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return final |