python夏令时问题
作者:互联网
我在夏时制上遇到麻烦.
让我解释一下上下文.
我将UTC中的日期存储在数据库中.每个用户都有一个时区,我也将此信息存储在数据库中.
我根据每个用户的时区计算“ 1个月”的时间段.
例如,用户应看到:
2014-01-06 -> 2014-02-05
2014-02-06 -> 2014-03-05
2014-03-06 -> 2014-04-05
2014-04-06 -> 2014-05-05
2014-05-06 -> 2014-06-05
etc.
夏令时开启或关闭时出现问题(三月和十一月)
代替:
> 2014-03-06-> 2014-04-05,我知道了2014-03-06-> 2014-04-06
> 2014-11-06-> 2014-12-05,我得到2014-11-05-> 2014-12-04
然后对所有下一个偏移量.
我尝试使用UTC日期,而不是将它们转换为用户时区以在get_end_date中添加1个月,但是仍然存在问题.
知道如何处理吗?
谢谢
这是我的代码和get_end_date方法.
import pytz
from dateutil.parser import parse as parse_date
from dateutil.relativedelta import relativedelta
def to_tz(dt, tz):
tz = pytz.timezone(tz)
return tz.normalize(dt.astimezone(tz))
def get_end_date(dt, tz):
dt_central = to_tz(dt, tz)
# Add 1 month, set hours, minutes, seconds, microseconds to 0 and remove -1 ms
dt_central = dt_central + relativedelta(months=+1)
dt_central = dt_central.replace(hour=0, minute=0, second=0, microsecond=0)
dt_central = dt_central + relativedelta(microseconds=-1)
return to_tz(dt_central, 'UTC')
def print_periods(start_dt, tz, nb_periods=6):
for i in xrange(nb_periods):
print '\n# Period {}'.format(i+1)
end_dt = get_end_date(start_dt, tz)
start_dt_central, end_dt_central = to_tz(start_dt, tz), to_tz(end_dt, tz)
print '{} -> {}'.format(start_dt_central.date(), end_dt_central.date())
print ' > start_dt_central: ', start_dt_central
print ' > end_dt_central: ', end_dt_central
print ' > start_dt: ', start_dt
print ' > end_dt: ', end_dt
start_dt = end_dt + relativedelta(microseconds=1)
输出:
central_tz = 'US/Central'
start_dt = parse_date('2014-01-06 06:00:00+00:00')
In [7]: print_periods(start_dt, central_tz, nb_periods=12)
# Period 1
2014-01-06 -> 2014-02-05
> start_dt_central: 2014-01-06 00:00:00-06:00
> end_dt_central: 2014-02-05 23:59:59.999999-06:00
# Period 2
2014-02-06 -> 2014-03-05
> start_dt_central: 2014-02-06 00:00:00-06:00
> end_dt_central: 2014-03-05 23:59:59.999999-06:00
# Period 3
2014-03-06 -> 2014-04-06
> start_dt_central: 2014-03-06 00:00:00-06:00
> end_dt_central: 2014-04-06 00:59:59.999999-05:00
# Period 4
2014-04-06 -> 2014-05-05
> start_dt_central: 2014-04-06 01:00:00-05:00
> end_dt_central: 2014-05-05 23:59:59.999999-05:00
# Period 5
2014-05-06 -> 2014-06-05
> start_dt_central: 2014-05-06 00:00:00-05:00
> end_dt_central: 2014-06-05 23:59:59.999999-05:00
# Period 6
2014-06-06 -> 2014-07-05
> start_dt_central: 2014-06-06 00:00:00-05:00
> end_dt_central: 2014-07-05 23:59:59.999999-05:00
# Period 7
2014-07-06 -> 2014-08-05
> start_dt_central: 2014-07-06 00:00:00-05:00
> end_dt_central: 2014-08-05 23:59:59.999999-05:00
# Period 8
2014-08-06 -> 2014-09-05
> start_dt_central: 2014-08-06 00:00:00-05:00
> end_dt_central: 2014-09-05 23:59:59.999999-05:00
# Period 9
2014-09-06 -> 2014-10-05
> start_dt_central: 2014-09-06 00:00:00-05:00
> end_dt_central: 2014-10-05 23:59:59.999999-05:00
# Period 10
2014-10-06 -> 2014-11-05
> start_dt_central: 2014-10-06 00:00:00-05:00
> end_dt_central: 2014-11-05 22:59:59.999999-06:00
# Period 11
2014-11-05 -> 2014-12-04
> start_dt_central: 2014-11-05 23:00:00-06:00
> end_dt_central: 2014-12-04 23:59:59.999999-06:00
# Period 12
2014-12-05 -> 2015-01-04
> start_dt_central: 2014-12-05 00:00:00-06:00
> end_dt_central: 2015-01-04 23:59:59.999999-06:00
更新:解决方案
克里斯蒂安的解决方案1
def get_end_date(dt, tz):
dt_central = to_tz(dt, tz)
orig_tz = dt_central.tzinfo
dt_central = dt_central.replace(tzinfo=None)
# Calculations
dt_central = orig_tz.localize(dt_central)
dt_utc = to_tz(dt_central, 'UTC')
return dt_utc
我自己的解决方案2
def get_end_date(dt, tz):
dt_central = to_tz(dt, tz)
# Calculations
dt_utc = to_tz(dt_central, 'UTC')
# When switch to Daylight Saving Time
if to_tz(dt_utc, tz).hour == 0:
dt_utc = dt_utc.replace(hour=dt_utc.hour-1)
# When leave Daylight Saving Time
elif to_tz(dt_utc, tz).hour == 22:
dt_utc = dt_utc.replace(hour=dt_utc.hour+1)
return dt_utc
解决方法:
在扩展vevents的重复规则时,dateutil的规则存在类似问题.对我有用的是保存时区信息,然后将每个datetime对象转换为朴素的datetime对象,进行计算,然后使用保存的时区本地化每个datetime.
因此,遵循以下原则:
orig_tz = dt.tzinfo
dt = dt.replace(tzinfo=None)
# do calculations here
orig_tz.localize(dt)
标签:python-datetime,python-dateutil,timezone,datetime,python 来源: https://codeday.me/bug/20191121/2050696.html