1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
|
# Copyright (C) 2009-2012 by the Free Software Foundation, Inc.
#
# This file is part of GNU Mailman.
#
# GNU Mailman is free software: you can redistribute it and/or modify it under
# the terms of the GNU General Public License as published by the Free
# Software Foundation, either version 3 of the License, or (at your option)
# any later version.
#
# GNU Mailman is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for
# more details.
#
# You should have received a copy of the GNU General Public License along with
# GNU Mailman. If not, see <http://www.gnu.org/licenses/>.
"""Datetime utilities.
Use these functions to produce variable times rather than the built-in
datetime.datetime.now() and datetime.date.today(). These are better
instrumented for testing purposes.
"""
from __future__ import absolute_import, unicode_literals
__metaclass__ = type
__all__ = [
'DateFactory',
'factory',
'now',
'today',
]
import datetime
from mailman.testing import layers
class DateFactory:
"""A factory for today() and now() that works with testing."""
# The predictable time.
predictable_now = None
predictable_today = None
def now(self, tz=None):
# We can't automatically fast-forward because some tests require us to
# stay on the same day for a while, e.g. autorespond.txt.
return (self.predictable_now
if layers.is_testing()
else datetime.datetime.now(tz))
def today(self):
return (self.predictable_today
if layers.is_testing()
else datetime.date.today())
@classmethod
def reset(cls):
cls.predictable_now = datetime.datetime(2005, 8, 1, 7, 49, 23)
cls.predictable_today = cls.predictable_now.date()
@classmethod
def fast_forward(cls, days=1):
cls.predictable_now += datetime.timedelta(days=days)
cls.predictable_today = cls.predictable_now.date()
factory = DateFactory()
factory.reset()
today = factory.today
now = factory.now
layers.MockAndMonkeyLayer.register_reset(factory.reset)
|
