Uses elif

import pandas as pd
support_log_grouped=pd.read_csv('/datasets/support_log_grouped_eng.csv')

def alert_group_importance(row):
    priority = row['alert_group']
    importance = row['importance']

    if priority == 'medium':
        if importance == 1:
            return 'attention'
        elif priority == 'high':
            if importance == 1:
                return 'high risk'
        elif priority == 'critical':
            if importance == 1:
                return 'block'
    return 'queued'

row_values = ['high', 1]
#row_values = ['medium', 1]
#row_values = ['medium', 0]
row_columns = ['alert_group', 'importance']
row = pd.Series(data=row_values, index=row_columns)

print(alert_group_importance(row))