python类MONTHLY的实例源码

def testRRuleAll(self):
        from dateutil.rrule import rrule
        from dateutil.rrule import rruleset
        from dateutil.rrule import rrulestr
        from dateutil.rrule import YEARLY, MONTHLY, WEEKLY, DAILY
        from dateutil.rrule import HOURLY, MINUTELY, SECONDLY
        from dateutil.rrule import MO, TU, WE, TH, FR, SA, SU

        rr_all = (rrule, rruleset, rrulestr,
                  YEARLY, MONTHLY, WEEKLY, DAILY,
                  HOURLY, MINUTELY, SECONDLY,
                  MO, TU, WE, TH, FR, SA, SU)

        for var in rr_all:
            self.assertIsNot(var, None)

        # In the public interface but not in all
        from dateutil.rrule import weekday
        self.assertIsNot(weekday, None)

def test_timezone_serializing():
        """
        Serializing with timezones test
        """
        tzs = dateutil.tz.tzical("test_files/timezones.ics")
        pacific = tzs.get('US/Pacific')
        cal = base.Component('VCALENDAR')
        cal.setBehavior(icalendar.VCalendar2_0)
        ev = cal.add('vevent')
        ev.add('dtstart').value = datetime.datetime(2005, 10, 12, 9,
                                                    tzinfo=pacific)
        evruleset = rruleset()
        evruleset.rrule(rrule(WEEKLY, interval=2, byweekday=[2,4],
                              until=datetime.datetime(2005, 12, 15, 9)))
        evruleset.rrule(rrule(MONTHLY, bymonthday=[-1,-5]))
        evruleset.exdate(datetime.datetime(2005, 10, 14, 9, tzinfo=pacific))
        ev.rruleset = evruleset
        ev.add('duration').value = datetime.timedelta(hours=1)

        apple = tzs.get('America/Montreal')
        ev.dtstart.value = datetime.datetime(2005, 10, 12, 9, tzinfo=apple)

def get_month_to_message_statistic(self, message_statistic):
        """
        Maps each month between the month of the first message and the month of
        the last message, inclusive, to the sum of the values of a message
        statistic over all messages from that month. 

        Args:
            message_statistic: A function mapping a Message object to an int or
                a float.

        Returns:
            month_to_message_statistic: A dict mapping a string of the form
                'YYYY-MM' representing a month between the month of the first
                message and the month of the last message to the sum of the
                values of message_statistic over all messages in self.messages
                from that month.
        """
        start_dt = self.messages[0].timestamp
        end_dt = self.messages[-1].timestamp
        start_date_month_start = datetime(start_dt.year, start_dt.month, 1)
        end_date_month_start = datetime(end_dt.year, end_dt.month, 1)
        dt_month_range = rrule(MONTHLY, dtstart=start_date_month_start,
                               until=end_date_month_start)
        month_range = [dt.date() for dt in dt_month_range]
        month_to_message_statistic = {dt.strftime(self.MONTH_FORMAT): 0 for dt in month_range}
        for message in self.messages:
            month_str = message.timestamp.strftime(self.MONTH_FORMAT)
            month_to_message_statistic[month_str] += message_statistic(message)
        return month_to_message_statistic

def get_early_closes(start, end):
    # TSX closed at 1:00 PM on december 24th.

    start = canonicalize_datetime(start)
    end = canonicalize_datetime(end)

    start = max(start, datetime(1993, 1, 1, tzinfo=pytz.utc))
    end = max(end, datetime(1993, 1, 1, tzinfo=pytz.utc))

    # Not included here are early closes prior to 1993
    # or unplanned early closes

    early_close_rules = []

    christmas_eve = rrule.rrule(
        rrule.MONTHLY,
        bymonth=12,
        bymonthday=24,
        byweekday=(rrule.MO, rrule.TU, rrule.WE, rrule.TH, rrule.FR),
        cache=True,
        dtstart=start,
        until=end
    )
    early_close_rules.append(christmas_eve)

    early_close_ruleset = rrule.rruleset()

    for rule in early_close_rules:
        early_close_ruleset.rrule(rule)
    early_closes = early_close_ruleset.between(start, end, inc=True)

    early_closes.sort()
    return pd.DatetimeIndex(early_closes)

def rrule_frequency(self):
        compatibiliy_dict = {
                'DAILY': DAILY,
                'MONTHLY': MONTHLY,
                'WEEKLY': WEEKLY,
                'YEARLY': YEARLY,
                'HOURLY': HOURLY,
                'MINUTELY': MINUTELY,
                'SECONDLY': SECONDLY
                }
        return compatibiliy_dict[self.frequency]