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Experiencing odd output from django.utils.timezone.now(), datetime.datetime.now() and pytz.timezone
How to return only the Date from a SQL Server DateTime datatypeHow to flush output of print function?Php Daylight saving issue with Pacific/FijiHow can I get the timezone-aware year, month, day, hour etc. from a Python datetime?How can I convert date and time to timestamp by giving/considering timezone?Difference between dates in Python and print as 00:00:00How can I write an ISO 8601 date with a timezone but no time componentRetrieving timezone in pretty formatted git log output (format specifier)?How to deal with time zone changes in Django?
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I'm experiencing strange behavior when attempting to convert between UTC and specific timezones. I'd love for someone to explain why I'm seeing this behavior and what the more "correct" way of getting timezone information might be.
Code:
import pytz
import datetime
from django.utils import timezone
print(timezone.now())
print(pytz.utc.localize(datetime.datetime.now()))
print('n')
def get_local_and_utc_date_ranges(days=1500, days_ago=2, local_timezone="America/Asuncion"):
seller_timezone = pytz.timezone(local_timezone)
utc_timezone = pytz.utc
seller_today = timezone.now().astimezone(seller_timezone)
seller_days_ago = seller_today - timezone.timedelta(days=days_ago)
local_date_end = seller_days_ago.replace(hour=23, minute=59, second=59, microsecond=999999)
local_date_start = (local_date_end - timezone.timedelta(days=days)).replace(hour=0, minute=0, second=0, microsecond=0)
utc_date_end = local_date_end.astimezone(utc_timezone)
utc_date_start = local_date_start.astimezone(utc_timezone)
date_ranges =
"local_date_end": local_date_end,
"local_date_start": local_date_start,
"utc_date_end": utc_date_end,
"utc_date_start": utc_date_start,
return date_ranges
def get_utc_and_local_date_ranges(days=1500, days_ago=2, local_timezone='America/Asuncion'):
seller_timezone = pytz.timezone(local_timezone)
utc_timezone = pytz.utc
utc_today = datetime.datetime.utcnow()
utc_days_ago = utc_today - datetime.timedelta(days=days_ago)
local_date_end = seller_timezone.localize(utc_days_ago).replace(
hour=23, minute=59, second=59, microsecond=999999
)
local_date_start = (local_date_end - datetime.timedelta(days=days)).replace(
hour=0, minute=0, second=0, microsecond=0
)
utc_date_end = local_date_end.astimezone(utc_timezone)
utc_date_start = local_date_start.astimezone(utc_timezone)
date_ranges =
'local_date_end': local_date_end,
'local_date_start': local_date_start,
'utc_date_end': utc_date_end,
'utc_date_start': utc_date_start,
return date_ranges
days = 1500
days_ago = 2
dates = get_local_and_utc_date_ranges(days=days, days_ago=days_ago)
dates2 = get_utc_and_local_date_ranges(days=days, days_ago=days_ago)
print('dates1:')
print('local_date_start:', dates['local_date_start'])
print('local_date_end:', dates['local_date_end'])
print('utc_date_start:', dates['utc_date_start'])
print('utc_date_end:', dates['utc_date_end'])
print('n')
print('dates2:')
print('local_date_start:', dates2['local_date_start'])
print('local_date_end:', dates2['local_date_end'])
print('utc_date_start:', dates2['utc_date_start'])
print('utc_date_end:', dates2['utc_date_end'])
print('n')
Output:
2019-03-25 18:57:55.929908+00:00
2019-03-25 18:57:55.930005+00:00
dates1:
local_date_start: 2015-02-12 00:00:00-04:00
local_date_end: 2019-03-23 23:59:59.999999-04:00
utc_date_start: 2015-02-12 04:00:00+00:00
utc_date_end: 2019-03-24 03:59:59.999999+00:00
dates2:
local_date_start: 2015-02-12 00:00:00-03:00
local_date_end: 2019-03-23 23:59:59.999999-03:00
utc_date_start: 2015-02-12 03:00:00+00:00
utc_date_end: 2019-03-24 02:59:59.999999+00:00
Note the inconsistent UTC offset (that particular timezone switched to DST on Mar 23rd). But when I try to replicate the issue using the following code:
import pytz
import datetime
from django.utils import timezone
now1 = timezone.now() - datetime.timedelta(days=2)
now2 = pytz.utc.localize(datetime.datetime.now()) - datetime.timedelta(days=2)
seller_timezone = pytz.timezone('America/Asuncion')
print(now1.astimezone(seller_timezone).replace(
hour=23, minute=59, second=59, microsecond=999999
))
print(now2.astimezone(seller_timezone).replace(
hour=23, minute=59, second=59, microsecond=999999
))
The output is correct:
2019-03-23 23:59:59.999999-03:00
2019-03-23 23:59:59.999999-03:00
I'm hoping someone can understand why this behavior is happening and how I might avoid the inconsistencies if so.
django python-3.x datetime timezone timezone-offset
add a comment |
I'm experiencing strange behavior when attempting to convert between UTC and specific timezones. I'd love for someone to explain why I'm seeing this behavior and what the more "correct" way of getting timezone information might be.
Code:
import pytz
import datetime
from django.utils import timezone
print(timezone.now())
print(pytz.utc.localize(datetime.datetime.now()))
print('n')
def get_local_and_utc_date_ranges(days=1500, days_ago=2, local_timezone="America/Asuncion"):
seller_timezone = pytz.timezone(local_timezone)
utc_timezone = pytz.utc
seller_today = timezone.now().astimezone(seller_timezone)
seller_days_ago = seller_today - timezone.timedelta(days=days_ago)
local_date_end = seller_days_ago.replace(hour=23, minute=59, second=59, microsecond=999999)
local_date_start = (local_date_end - timezone.timedelta(days=days)).replace(hour=0, minute=0, second=0, microsecond=0)
utc_date_end = local_date_end.astimezone(utc_timezone)
utc_date_start = local_date_start.astimezone(utc_timezone)
date_ranges =
"local_date_end": local_date_end,
"local_date_start": local_date_start,
"utc_date_end": utc_date_end,
"utc_date_start": utc_date_start,
return date_ranges
def get_utc_and_local_date_ranges(days=1500, days_ago=2, local_timezone='America/Asuncion'):
seller_timezone = pytz.timezone(local_timezone)
utc_timezone = pytz.utc
utc_today = datetime.datetime.utcnow()
utc_days_ago = utc_today - datetime.timedelta(days=days_ago)
local_date_end = seller_timezone.localize(utc_days_ago).replace(
hour=23, minute=59, second=59, microsecond=999999
)
local_date_start = (local_date_end - datetime.timedelta(days=days)).replace(
hour=0, minute=0, second=0, microsecond=0
)
utc_date_end = local_date_end.astimezone(utc_timezone)
utc_date_start = local_date_start.astimezone(utc_timezone)
date_ranges =
'local_date_end': local_date_end,
'local_date_start': local_date_start,
'utc_date_end': utc_date_end,
'utc_date_start': utc_date_start,
return date_ranges
days = 1500
days_ago = 2
dates = get_local_and_utc_date_ranges(days=days, days_ago=days_ago)
dates2 = get_utc_and_local_date_ranges(days=days, days_ago=days_ago)
print('dates1:')
print('local_date_start:', dates['local_date_start'])
print('local_date_end:', dates['local_date_end'])
print('utc_date_start:', dates['utc_date_start'])
print('utc_date_end:', dates['utc_date_end'])
print('n')
print('dates2:')
print('local_date_start:', dates2['local_date_start'])
print('local_date_end:', dates2['local_date_end'])
print('utc_date_start:', dates2['utc_date_start'])
print('utc_date_end:', dates2['utc_date_end'])
print('n')
Output:
2019-03-25 18:57:55.929908+00:00
2019-03-25 18:57:55.930005+00:00
dates1:
local_date_start: 2015-02-12 00:00:00-04:00
local_date_end: 2019-03-23 23:59:59.999999-04:00
utc_date_start: 2015-02-12 04:00:00+00:00
utc_date_end: 2019-03-24 03:59:59.999999+00:00
dates2:
local_date_start: 2015-02-12 00:00:00-03:00
local_date_end: 2019-03-23 23:59:59.999999-03:00
utc_date_start: 2015-02-12 03:00:00+00:00
utc_date_end: 2019-03-24 02:59:59.999999+00:00
Note the inconsistent UTC offset (that particular timezone switched to DST on Mar 23rd). But when I try to replicate the issue using the following code:
import pytz
import datetime
from django.utils import timezone
now1 = timezone.now() - datetime.timedelta(days=2)
now2 = pytz.utc.localize(datetime.datetime.now()) - datetime.timedelta(days=2)
seller_timezone = pytz.timezone('America/Asuncion')
print(now1.astimezone(seller_timezone).replace(
hour=23, minute=59, second=59, microsecond=999999
))
print(now2.astimezone(seller_timezone).replace(
hour=23, minute=59, second=59, microsecond=999999
))
The output is correct:
2019-03-23 23:59:59.999999-03:00
2019-03-23 23:59:59.999999-03:00
I'm hoping someone can understand why this behavior is happening and how I might avoid the inconsistencies if so.
django python-3.x datetime timezone timezone-offset
add a comment |
I'm experiencing strange behavior when attempting to convert between UTC and specific timezones. I'd love for someone to explain why I'm seeing this behavior and what the more "correct" way of getting timezone information might be.
Code:
import pytz
import datetime
from django.utils import timezone
print(timezone.now())
print(pytz.utc.localize(datetime.datetime.now()))
print('n')
def get_local_and_utc_date_ranges(days=1500, days_ago=2, local_timezone="America/Asuncion"):
seller_timezone = pytz.timezone(local_timezone)
utc_timezone = pytz.utc
seller_today = timezone.now().astimezone(seller_timezone)
seller_days_ago = seller_today - timezone.timedelta(days=days_ago)
local_date_end = seller_days_ago.replace(hour=23, minute=59, second=59, microsecond=999999)
local_date_start = (local_date_end - timezone.timedelta(days=days)).replace(hour=0, minute=0, second=0, microsecond=0)
utc_date_end = local_date_end.astimezone(utc_timezone)
utc_date_start = local_date_start.astimezone(utc_timezone)
date_ranges =
"local_date_end": local_date_end,
"local_date_start": local_date_start,
"utc_date_end": utc_date_end,
"utc_date_start": utc_date_start,
return date_ranges
def get_utc_and_local_date_ranges(days=1500, days_ago=2, local_timezone='America/Asuncion'):
seller_timezone = pytz.timezone(local_timezone)
utc_timezone = pytz.utc
utc_today = datetime.datetime.utcnow()
utc_days_ago = utc_today - datetime.timedelta(days=days_ago)
local_date_end = seller_timezone.localize(utc_days_ago).replace(
hour=23, minute=59, second=59, microsecond=999999
)
local_date_start = (local_date_end - datetime.timedelta(days=days)).replace(
hour=0, minute=0, second=0, microsecond=0
)
utc_date_end = local_date_end.astimezone(utc_timezone)
utc_date_start = local_date_start.astimezone(utc_timezone)
date_ranges =
'local_date_end': local_date_end,
'local_date_start': local_date_start,
'utc_date_end': utc_date_end,
'utc_date_start': utc_date_start,
return date_ranges
days = 1500
days_ago = 2
dates = get_local_and_utc_date_ranges(days=days, days_ago=days_ago)
dates2 = get_utc_and_local_date_ranges(days=days, days_ago=days_ago)
print('dates1:')
print('local_date_start:', dates['local_date_start'])
print('local_date_end:', dates['local_date_end'])
print('utc_date_start:', dates['utc_date_start'])
print('utc_date_end:', dates['utc_date_end'])
print('n')
print('dates2:')
print('local_date_start:', dates2['local_date_start'])
print('local_date_end:', dates2['local_date_end'])
print('utc_date_start:', dates2['utc_date_start'])
print('utc_date_end:', dates2['utc_date_end'])
print('n')
Output:
2019-03-25 18:57:55.929908+00:00
2019-03-25 18:57:55.930005+00:00
dates1:
local_date_start: 2015-02-12 00:00:00-04:00
local_date_end: 2019-03-23 23:59:59.999999-04:00
utc_date_start: 2015-02-12 04:00:00+00:00
utc_date_end: 2019-03-24 03:59:59.999999+00:00
dates2:
local_date_start: 2015-02-12 00:00:00-03:00
local_date_end: 2019-03-23 23:59:59.999999-03:00
utc_date_start: 2015-02-12 03:00:00+00:00
utc_date_end: 2019-03-24 02:59:59.999999+00:00
Note the inconsistent UTC offset (that particular timezone switched to DST on Mar 23rd). But when I try to replicate the issue using the following code:
import pytz
import datetime
from django.utils import timezone
now1 = timezone.now() - datetime.timedelta(days=2)
now2 = pytz.utc.localize(datetime.datetime.now()) - datetime.timedelta(days=2)
seller_timezone = pytz.timezone('America/Asuncion')
print(now1.astimezone(seller_timezone).replace(
hour=23, minute=59, second=59, microsecond=999999
))
print(now2.astimezone(seller_timezone).replace(
hour=23, minute=59, second=59, microsecond=999999
))
The output is correct:
2019-03-23 23:59:59.999999-03:00
2019-03-23 23:59:59.999999-03:00
I'm hoping someone can understand why this behavior is happening and how I might avoid the inconsistencies if so.
django python-3.x datetime timezone timezone-offset
I'm experiencing strange behavior when attempting to convert between UTC and specific timezones. I'd love for someone to explain why I'm seeing this behavior and what the more "correct" way of getting timezone information might be.
Code:
import pytz
import datetime
from django.utils import timezone
print(timezone.now())
print(pytz.utc.localize(datetime.datetime.now()))
print('n')
def get_local_and_utc_date_ranges(days=1500, days_ago=2, local_timezone="America/Asuncion"):
seller_timezone = pytz.timezone(local_timezone)
utc_timezone = pytz.utc
seller_today = timezone.now().astimezone(seller_timezone)
seller_days_ago = seller_today - timezone.timedelta(days=days_ago)
local_date_end = seller_days_ago.replace(hour=23, minute=59, second=59, microsecond=999999)
local_date_start = (local_date_end - timezone.timedelta(days=days)).replace(hour=0, minute=0, second=0, microsecond=0)
utc_date_end = local_date_end.astimezone(utc_timezone)
utc_date_start = local_date_start.astimezone(utc_timezone)
date_ranges =
"local_date_end": local_date_end,
"local_date_start": local_date_start,
"utc_date_end": utc_date_end,
"utc_date_start": utc_date_start,
return date_ranges
def get_utc_and_local_date_ranges(days=1500, days_ago=2, local_timezone='America/Asuncion'):
seller_timezone = pytz.timezone(local_timezone)
utc_timezone = pytz.utc
utc_today = datetime.datetime.utcnow()
utc_days_ago = utc_today - datetime.timedelta(days=days_ago)
local_date_end = seller_timezone.localize(utc_days_ago).replace(
hour=23, minute=59, second=59, microsecond=999999
)
local_date_start = (local_date_end - datetime.timedelta(days=days)).replace(
hour=0, minute=0, second=0, microsecond=0
)
utc_date_end = local_date_end.astimezone(utc_timezone)
utc_date_start = local_date_start.astimezone(utc_timezone)
date_ranges =
'local_date_end': local_date_end,
'local_date_start': local_date_start,
'utc_date_end': utc_date_end,
'utc_date_start': utc_date_start,
return date_ranges
days = 1500
days_ago = 2
dates = get_local_and_utc_date_ranges(days=days, days_ago=days_ago)
dates2 = get_utc_and_local_date_ranges(days=days, days_ago=days_ago)
print('dates1:')
print('local_date_start:', dates['local_date_start'])
print('local_date_end:', dates['local_date_end'])
print('utc_date_start:', dates['utc_date_start'])
print('utc_date_end:', dates['utc_date_end'])
print('n')
print('dates2:')
print('local_date_start:', dates2['local_date_start'])
print('local_date_end:', dates2['local_date_end'])
print('utc_date_start:', dates2['utc_date_start'])
print('utc_date_end:', dates2['utc_date_end'])
print('n')
Output:
2019-03-25 18:57:55.929908+00:00
2019-03-25 18:57:55.930005+00:00
dates1:
local_date_start: 2015-02-12 00:00:00-04:00
local_date_end: 2019-03-23 23:59:59.999999-04:00
utc_date_start: 2015-02-12 04:00:00+00:00
utc_date_end: 2019-03-24 03:59:59.999999+00:00
dates2:
local_date_start: 2015-02-12 00:00:00-03:00
local_date_end: 2019-03-23 23:59:59.999999-03:00
utc_date_start: 2015-02-12 03:00:00+00:00
utc_date_end: 2019-03-24 02:59:59.999999+00:00
Note the inconsistent UTC offset (that particular timezone switched to DST on Mar 23rd). But when I try to replicate the issue using the following code:
import pytz
import datetime
from django.utils import timezone
now1 = timezone.now() - datetime.timedelta(days=2)
now2 = pytz.utc.localize(datetime.datetime.now()) - datetime.timedelta(days=2)
seller_timezone = pytz.timezone('America/Asuncion')
print(now1.astimezone(seller_timezone).replace(
hour=23, minute=59, second=59, microsecond=999999
))
print(now2.astimezone(seller_timezone).replace(
hour=23, minute=59, second=59, microsecond=999999
))
The output is correct:
2019-03-23 23:59:59.999999-03:00
2019-03-23 23:59:59.999999-03:00
I'm hoping someone can understand why this behavior is happening and how I might avoid the inconsistencies if so.
django python-3.x datetime timezone timezone-offset
django python-3.x datetime timezone timezone-offset
edited Mar 29 at 20:56
Blairg23
asked Mar 25 at 19:04
Blairg23Blairg23
5,1951 gold badge44 silver badges51 bronze badges
5,1951 gold badge44 silver badges51 bronze badges
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add a comment |
1 Answer
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votes
Your get_local_and_utc_date_ranges()
function is producing incorrect results because it's doing datetime arithmetic (i.e. subtracting a timedelta
) with a localized time, which doesn't work.
seller_today = timezone.now().astimezone(seller_timezone)
seller_days_ago = seller_today - timezone.timedelta(days=days_ago)
This is noted in the datetime module documentation:
As for addition, the result [of subtracting a
timedelta
] has the sametzinfo
attribute as the input datetime, and no time zone adjustments are done even if the input is aware.
This is also noted in the pytz documentation:
If you perform date arithmetic on local times that cross DST boundaries, the result may be in an incorrect timezone.
pytz offers a fix:
A
normalize()
method is provided to correct this.
So you could use:
seller_days_ago = seller_timezone.normalize(seller_today - timezone.timedelta(days=days_ago))
...
local_date_start = seller_timezone.normalize(local_date_end - timezone.timedelta(days=days)).replace(hour=0, minute=0, second=0, microsecond=0)
However, the documentation also notes that:
The preferred way of dealing with times is to always work in UTC.
So a better solution would be to only do arithmetic in UTC:
utc_today = datetime.datetime.utcnow()
utc_date_end = utc_today - datetime.timedelta(days=days_ago)
utc_date_start = utc_date_end - datetime.timedelta(days=days)
local_date_end = seller_timezone.localize(utc_date_end).replace(hour=23, minute=59, second=59, microsecond=999999)
local_date_start = seller_timezone.localize(utc_date_start).replace(hour=0, minute=0, second=0, microsecond=0)
add a comment |
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Your get_local_and_utc_date_ranges()
function is producing incorrect results because it's doing datetime arithmetic (i.e. subtracting a timedelta
) with a localized time, which doesn't work.
seller_today = timezone.now().astimezone(seller_timezone)
seller_days_ago = seller_today - timezone.timedelta(days=days_ago)
This is noted in the datetime module documentation:
As for addition, the result [of subtracting a
timedelta
] has the sametzinfo
attribute as the input datetime, and no time zone adjustments are done even if the input is aware.
This is also noted in the pytz documentation:
If you perform date arithmetic on local times that cross DST boundaries, the result may be in an incorrect timezone.
pytz offers a fix:
A
normalize()
method is provided to correct this.
So you could use:
seller_days_ago = seller_timezone.normalize(seller_today - timezone.timedelta(days=days_ago))
...
local_date_start = seller_timezone.normalize(local_date_end - timezone.timedelta(days=days)).replace(hour=0, minute=0, second=0, microsecond=0)
However, the documentation also notes that:
The preferred way of dealing with times is to always work in UTC.
So a better solution would be to only do arithmetic in UTC:
utc_today = datetime.datetime.utcnow()
utc_date_end = utc_today - datetime.timedelta(days=days_ago)
utc_date_start = utc_date_end - datetime.timedelta(days=days)
local_date_end = seller_timezone.localize(utc_date_end).replace(hour=23, minute=59, second=59, microsecond=999999)
local_date_start = seller_timezone.localize(utc_date_start).replace(hour=0, minute=0, second=0, microsecond=0)
add a comment |
Your get_local_and_utc_date_ranges()
function is producing incorrect results because it's doing datetime arithmetic (i.e. subtracting a timedelta
) with a localized time, which doesn't work.
seller_today = timezone.now().astimezone(seller_timezone)
seller_days_ago = seller_today - timezone.timedelta(days=days_ago)
This is noted in the datetime module documentation:
As for addition, the result [of subtracting a
timedelta
] has the sametzinfo
attribute as the input datetime, and no time zone adjustments are done even if the input is aware.
This is also noted in the pytz documentation:
If you perform date arithmetic on local times that cross DST boundaries, the result may be in an incorrect timezone.
pytz offers a fix:
A
normalize()
method is provided to correct this.
So you could use:
seller_days_ago = seller_timezone.normalize(seller_today - timezone.timedelta(days=days_ago))
...
local_date_start = seller_timezone.normalize(local_date_end - timezone.timedelta(days=days)).replace(hour=0, minute=0, second=0, microsecond=0)
However, the documentation also notes that:
The preferred way of dealing with times is to always work in UTC.
So a better solution would be to only do arithmetic in UTC:
utc_today = datetime.datetime.utcnow()
utc_date_end = utc_today - datetime.timedelta(days=days_ago)
utc_date_start = utc_date_end - datetime.timedelta(days=days)
local_date_end = seller_timezone.localize(utc_date_end).replace(hour=23, minute=59, second=59, microsecond=999999)
local_date_start = seller_timezone.localize(utc_date_start).replace(hour=0, minute=0, second=0, microsecond=0)
add a comment |
Your get_local_and_utc_date_ranges()
function is producing incorrect results because it's doing datetime arithmetic (i.e. subtracting a timedelta
) with a localized time, which doesn't work.
seller_today = timezone.now().astimezone(seller_timezone)
seller_days_ago = seller_today - timezone.timedelta(days=days_ago)
This is noted in the datetime module documentation:
As for addition, the result [of subtracting a
timedelta
] has the sametzinfo
attribute as the input datetime, and no time zone adjustments are done even if the input is aware.
This is also noted in the pytz documentation:
If you perform date arithmetic on local times that cross DST boundaries, the result may be in an incorrect timezone.
pytz offers a fix:
A
normalize()
method is provided to correct this.
So you could use:
seller_days_ago = seller_timezone.normalize(seller_today - timezone.timedelta(days=days_ago))
...
local_date_start = seller_timezone.normalize(local_date_end - timezone.timedelta(days=days)).replace(hour=0, minute=0, second=0, microsecond=0)
However, the documentation also notes that:
The preferred way of dealing with times is to always work in UTC.
So a better solution would be to only do arithmetic in UTC:
utc_today = datetime.datetime.utcnow()
utc_date_end = utc_today - datetime.timedelta(days=days_ago)
utc_date_start = utc_date_end - datetime.timedelta(days=days)
local_date_end = seller_timezone.localize(utc_date_end).replace(hour=23, minute=59, second=59, microsecond=999999)
local_date_start = seller_timezone.localize(utc_date_start).replace(hour=0, minute=0, second=0, microsecond=0)
Your get_local_and_utc_date_ranges()
function is producing incorrect results because it's doing datetime arithmetic (i.e. subtracting a timedelta
) with a localized time, which doesn't work.
seller_today = timezone.now().astimezone(seller_timezone)
seller_days_ago = seller_today - timezone.timedelta(days=days_ago)
This is noted in the datetime module documentation:
As for addition, the result [of subtracting a
timedelta
] has the sametzinfo
attribute as the input datetime, and no time zone adjustments are done even if the input is aware.
This is also noted in the pytz documentation:
If you perform date arithmetic on local times that cross DST boundaries, the result may be in an incorrect timezone.
pytz offers a fix:
A
normalize()
method is provided to correct this.
So you could use:
seller_days_ago = seller_timezone.normalize(seller_today - timezone.timedelta(days=days_ago))
...
local_date_start = seller_timezone.normalize(local_date_end - timezone.timedelta(days=days)).replace(hour=0, minute=0, second=0, microsecond=0)
However, the documentation also notes that:
The preferred way of dealing with times is to always work in UTC.
So a better solution would be to only do arithmetic in UTC:
utc_today = datetime.datetime.utcnow()
utc_date_end = utc_today - datetime.timedelta(days=days_ago)
utc_date_start = utc_date_end - datetime.timedelta(days=days)
local_date_end = seller_timezone.localize(utc_date_end).replace(hour=23, minute=59, second=59, microsecond=999999)
local_date_start = seller_timezone.localize(utc_date_start).replace(hour=0, minute=0, second=0, microsecond=0)
edited Mar 26 at 21:19
answered Mar 25 at 20:33
Kevin Christopher HenryKevin Christopher Henry
25.5k5 gold badges70 silver badges64 bronze badges
25.5k5 gold badges70 silver badges64 bronze badges
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