python 计算两日期之间工作日时长

def axx():

    from dateutil import rrule

    received_time = datetime.datetime.strptime('2019-04-21 23:00:00', '%Y-%m-%d %H:%M:%S')

    complete_time = datetime.datetime.strptime('2019-04-22 01:00:00', '%Y-%m-%d %H:%M:%S')

    workdays = [x for x in range(7) if x not in [5, 6]]

    time_period = rrule.rrule(rrule.MINUTELY, dtstart=received_time, until=complete_time, byweekday=workdays).count()

    print(time_period)

def xxa():

    import pandas as pd

    date = pd.bdate_range('2019-04-21 23:00:00', '2019-04-22 01:00:00', freq='min')

    minutes = len(date)  

    print(minutes)

    print(minutes/(60*60))

def xax():

    from business_duration import businessDuration

    import pandas as pd

    received_time = pd.to_datetime('2019-04-21 23:00:00')

    complete_time = pd.to_datetime('2019-04-22 01:15:00')

    period = businessDuration(received_time, complete_time, unit='min')

    print(period)

def aaa():

    import pandas as pd

    # test case 1

    # received_time = '2019-04-21 23:00:00'

    # complete_time = '2019-04-22 01:00:00'

    # received_time = '2019-04-19 23:00:00'

    # complete_time = '2019-04-20 01:00:00'

    # test case 2

    # received_time = '2019-04-18 23:00:00'

    # complete_time = '2019-04-20 01:00:00'

    # received_time = '2019-04-21 23:00:00'

    # complete_time = '2019-04-23 01:00:00'

    # test case 3

    # received_time = '2019-04-21 23:00:00'

    # complete_time = '2019-04-24 01:00:00'

    # received_time = '2019-04-18 23:00:00'

    # complete_time = '2019-04-20 01:00:00'

    # test case 5

    received_time = '2019-04-19 23:00:00'

    complete_time = '2019-04-22 01:00:00'

    received_date = pd.to_datetime(received_time)

    complete_date = pd.to_datetime(complete_time)

    date_period = pd.bdate_range(received_time, complete_time)

    if date_period[0] == date_period[-1]:

        if date_period[0] > received_date:

            start = date_period[0]

            end = complete_date

        else:

            start = received_date

            end = date_period[0] + datetime.timedelta(days=1)

        day_time = len(pd.date_range(start, end, freq='min')) - 1

        print('Workdays:' + str(day_time) + ' minutes')

    else:

        if (complete_date - date_period[-1]).days > 0:

            end = date_period[-1] + datetime.timedelta(days=1)

        else:

            end = complete_date

        if received_date < date_period[0]:

            start = date_period[0]

        else:

            start = received_date

        received_per = pd.date_range(start, date_period[0] + datetime.timedelta(days=1), freq='min')

        complete_per = pd.date_range(date_period[-1], end, freq='min')

        middle_time = (len(date_period) - 2) * 1440

        days_time = len(received_per) + middle_time + len(complete_per) - 2

        print('Workdays:' + str(days_time) + ' minutes')