mirror of
https://github.com/morpheus65535/bazarr
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70 lines
3.1 KiB
Python
70 lines
3.1 KiB
Python
"""
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pretty
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Formats dates, numbers, etc. in a pretty, human readable format.
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"""
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__author__ = "S Anand (sanand@s-anand.net)"
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__copyright__ = "Copyright 2010, S Anand"
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__license__ = "WTFPL"
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from datetime import datetime
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from six import PY3
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def _df(seconds, denominator=1, text='', past=True):
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if PY3:
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result = str(round(seconds / denominator))
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else:
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result = str((seconds + denominator/2)/ denominator)
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if past: return result + text + ' ago'
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else: return 'in ' + result + text
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def date(time=False, asdays=False, short=False):
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'''Returns a pretty formatted date.
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Inputs:
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time is a datetime object or an int timestamp
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asdays is True if you only want to measure days, not seconds
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short is True if you want "1d ago", "2d ago", etc. False if you want
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'''
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now = datetime.now()
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if type(time) is int: time = datetime.fromtimestamp(time)
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elif not time: time = now
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if time > now: past, diff = False, time - now
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else: past, diff = True, now - time
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seconds = diff.seconds
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days = diff.days
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if short:
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if days == 0 and not asdays:
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if seconds < 10: return 'now'
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elif seconds < 60: return _df(seconds, 1, 's', past)
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elif seconds < 3600: return _df(seconds, 60, 'm', past)
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else: return _df(seconds, 3600, 'h', past)
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else:
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if days == 0: return 'today'
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elif days == 1: return past and 'yest' or 'tom'
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elif days < 7: return _df(days, 1, 'd', past)
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elif days < 31: return _df(days, 7, 'w', past)
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elif days < 365: return _df(days, 30, 'mo', past)
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else: return _df(days, 365, 'y', past)
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else:
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if days == 0 and not asdays:
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if seconds < 10: return 'now'
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elif seconds < 60: return _df(seconds, 1, ' seconds', past)
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elif seconds < 120: return past and 'a minute ago' or 'in a minute'
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elif seconds < 3600: return _df(seconds, 60, ' minutes', past)
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elif seconds < 7200: return past and 'an hour ago' or'in an hour'
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else: return _df(seconds, 3600, ' hours', past)
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else:
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if days == 0: return 'today'
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elif days == 1: return past and 'yesterday' or'tomorrow'
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elif days == 2: return past and 'day before' or 'day after'
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elif days < 7: return _df(days, 1, ' days', past)
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elif days < 14: return past and 'last week' or 'next week'
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elif days < 31: return _df(days, 7, ' weeks', past)
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elif days < 61: return past and 'last month' or 'next month'
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elif days < 365: return _df(days, 30, ' months', past)
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elif days < 730: return past and 'last year' or 'next year'
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else: return _df(days, 365, ' years', past)
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