naturaltime.py

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SoCoder -> Snippet Home -> Timing

HoboBen	Created : 26 March 2016 Edited : 26 March 2016 System : Cross Platform Language : Python naturaltime.py human readable time deltas for Python
Given a Python datetime, generate a nice helpful string, relative to right now, like: 'tomorrow at 7:00 am' 'just now' 'about 42 minutes ago' from datetime import datetime, timezone, timedelta # usage: naturaltime.to_text(some_datetime) def past(dt, dif): if dif.days > 2: return '%d days ago' % int(dif.days) if dif.days > 1: return 'yesterday at %s' % dt.strftime('%I:%M %p') if dif.seconds <= 60: return '%d seconds ago' % int(dif.seconds) if dif.seconds <= (60 * 10): return '%d minutes, %d seconds ago' % \ (int(dif.seconds / 60), int(dif.seconds) % 60) if dif.seconds <= (60 * 60): return 'about %d minutes ago' % int(dif.seconds / 60) return '%d hours, %d minutes ago' % \ (int(dif.seconds / (60 * 60)), int(dif.seconds / 60) % 60) def future(dt, dif): if dif.days > 2: return 'in %d days time' % int(dif.days) if dif.days > 1: return 'tomorrow at %s' % dt.strftime('%I:%M %p') if dif.seconds <= 60: return '%d seconds from now' % int(dif.seconds) if dif.seconds <= (60 * 10): return '%d minutes, %d seconds from now' % \ (int(dif.seconds / 60), int(dif.seconds) % 60) if dif.seconds <= (60 * 60): return 'about %d minutes from now' % int(dif.seconds / 60) return '%d hours, %d minutes from now' % \ (int(dif.seconds / (60 * 60)), int(dif.seconds / 60) % 60) def to_text(dt): now = datetime.now(timezone.utc) dif = dt - now smalld = timedelta(seconds=5) if dif < smalld: if abs(dif) < smalld: return 'just now' return past(dt, abs(dif)) else: if abs(dif) < smalld: return 'now' return future(dt, abs(dif)) --v Gist

Comments
Saturday, 26 March 2016, 04:08
Jayenkai	Looks useful. I'm surprised something like that isn't already part of the whole datetime thing. From the look of your code, datetime seems fairly comprehensive.
Sunday, 27 March 2016, 01:19
HoboBen	Datetimes in python, and in particular timedeltas, are super super handy There is this module which can humanize all sorts of things for different languages, but it was overkill for me! https://pypi.python.org/pypi/humanize

Comments