bazarr/libs/pretty/__init__.py

65 lines
3.0 KiB
Python

"""
pretty
Formats dates, numbers, etc. in a pretty, human readable format.
"""
__author__ = "S Anand (sanand@s-anand.net)"
__copyright__ = "Copyright 2010, S Anand"
__license__ = "WTFPL"
from datetime import datetime
def _df(seconds, denominator=1, text='', past=True):
if past: return str((seconds + denominator/2)/ denominator) + text + ' ago'
else: return 'in ' + str((seconds + denominator/2)/ denominator) + text
def date(time=False, asdays=False, short=False):
'''Returns a pretty formatted date.
Inputs:
time is a datetime object or an int timestamp
asdays is True if you only want to measure days, not seconds
short is True if you want "1d ago", "2d ago", etc. False if you want
'''
now = datetime.now()
if type(time) is int: time = datetime.fromtimestamp(time)
elif not time: time = now
if time > now: past, diff = False, time - now
else: past, diff = True, now - time
seconds = diff.seconds
days = diff.days
if short:
if days == 0 and not asdays:
if seconds < 10: return 'now'
elif seconds < 60: return _df(seconds, 1, 's', past)
elif seconds < 3600: return _df(seconds, 60, 'm', past)
else: return _df(seconds, 3600, 'h', past)
else:
if days == 0: return 'today'
elif days == 1: return past and 'yest' or 'tom'
elif days < 7: return _df(days, 1, 'd', past)
elif days < 31: return _df(days, 7, 'w', past)
elif days < 365: return _df(days, 30, 'mo', past)
else: return _df(days, 365, 'y', past)
else:
if days == 0 and not asdays:
if seconds < 10: return 'now'
elif seconds < 60: return _df(seconds, 1, ' seconds', past)
elif seconds < 120: return past and 'a minute ago' or 'in a minute'
elif seconds < 3600: return _df(seconds, 60, ' minutes', past)
elif seconds < 7200: return past and 'an hour ago' or'in an hour'
else: return _df(seconds, 3600, ' hours', past)
else:
if days == 0: return 'today'
elif days == 1: return past and 'yesterday' or'tomorrow'
elif days == 2: return past and 'day before' or 'day after'
elif days < 7: return _df(days, 1, ' days', past)
elif days < 14: return past and 'last week' or 'next week'
elif days < 31: return _df(days, 7, ' weeks', past)
elif days < 61: return past and 'last month' or 'next month'
elif days < 365: return _df(days, 30, ' months', past)
elif days < 730: return past and 'last year' or 'next year'
else: return _df(days, 365, ' years', past)