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""" human-datetimedelta Human readable datetime deltas """ __author__ = "Col Wilson ([email protected])" __copyright__ = "Copyright 2012, Col Wilson" __license__ = "MIT Licence" 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'