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169 lines
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ReStructuredText
169 lines
5.7 KiB
ReStructuredText
🚨 Looking for a new maintainer: [here](https://github.com/timofurrer/maya/issues/197) 🚨
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=========================================================================================
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Maya: Datetimes for Humans™
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===========================
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.. image:: https://img.shields.io/pypi/v/maya.svg
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:target: https://pypi.python.org/pypi/maya
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.. image:: https://github.com/timofurrer/maya/workflows/Continuous%20Integration%20and%20Deployment/badge.svg
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:target: https://github.com/timofurrer/maya/actions
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Datetimes are very frustrating to work with in Python, especially when dealing
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with different locales on different systems. This library exists to make the
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simple things **much** easier, while admitting that time is an illusion
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(timezones doubly so).
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Datetimes should be interacted with via an API written for humans.
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Maya is mostly built around the headaches and use-cases around parsing datetime data from websites.
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☤ Basic Usage of Maya
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---------------------
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Behold, datetimes for humans!
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.. code-block:: pycon
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>>> now = maya.now()
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<MayaDT epoch=1481850660.9>
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>>> tomorrow = maya.when('tomorrow')
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<MayaDT epoch=1481919067.23>
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>>> tomorrow.slang_date()
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'tomorrow'
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>>> tomorrow.slang_time()
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'23 hours from now'
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# Also: MayaDT.from_iso8601(...)
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>>> tomorrow.iso8601()
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'2017-02-10T22:17:01.445418Z'
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# Also: MayaDT.from_rfc2822(...)
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>>> tomorrow.rfc2822()
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'Fri, 10 Feb 2017 22:17:01 GMT'
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# Also: MayaDT.from_rfc3339(...)
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>>> tomorrow.rfc3339()
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'2017-02-10T22:17:01.44Z'
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>>> tomorrow.datetime()
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datetime.datetime(2016, 12, 16, 15, 11, 30, 263350, tzinfo=<UTC>)
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# Automatically parse datetime strings and generate naive datetimes.
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>>> scraped = '2016-12-16 18:23:45.423992+00:00'
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>>> maya.parse(scraped).datetime(to_timezone='US/Eastern', naive=True)
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datetime.datetime(2016, 12, 16, 13, 23, 45, 423992)
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>>> rand_day = maya.when('2011-02-07', timezone='US/Eastern')
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<MayaDT epoch=1297036800.0>
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# Maya speaks Python.
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>>> m = maya.MayaDT.from_datetime(datetime.utcnow())
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>>> print(m)
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Wed, 20 Sep 2017 17:24:32 GMT
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>>> m = maya.MayaDT.from_struct(time.gmtime())
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>>> print(m)
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Wed, 20 Sep 2017 17:24:32 GMT
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>>> m = maya.MayaDT(time.time())
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>>> print(m)
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Wed, 20 Sep 2017 17:24:32 GMT
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>>> rand_day.day
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7
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>>> rand_day.add(days=10).day
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17
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# Always.
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>>> rand_day.timezone
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UTC
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# Range of hours in a day:
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>>> maya.intervals(start=maya.now(), end=maya.now().add(days=1), interval=60*60)
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<generator object intervals at 0x105ba5820>
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# snap modifiers
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>>> dt = maya.when('Mon, 21 Feb 1994 21:21:42 GMT')
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>>> dt.snap('@d+3h').rfc2822()
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'Mon, 21 Feb 1994 03:00:00 GMT'
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# snap modifiers within a timezone
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>>> dt = maya.when('Mon, 21 Feb 1994 21:21:42 GMT')
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>>> dt.snap_tz('+3h@d', 'Australia/Perth').rfc2822()
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'Mon, 21 Feb 1994 16:00:00 GMT'
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☤ Advanced Usage of Maya
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------------------------
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In addition to timestamps, Maya also includes a wonderfully powerful ``MayaInterval`` class, which represents a range of time (e.g. an event). With this class, you can perform a multitude of advanced calendar calculations with finesse and ease.
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For example:
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.. code-block:: pycon
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>>> from maya import MayaInterval
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# Create an event that is one hour long, starting now.
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>>> event_start = maya.now()
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>>> event_end = event_start.add(hours=1)
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>>> event = MayaInterval(start=event_start, end=event_end)
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From here, there are a number of methods available to you, which you can use to compare this event to another event.
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☤ Why is this useful?
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---------------------
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- All timezone algebra will behave identically on all machines, regardless of system locale.
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- Complete symmetric import and export of both ISO 8601 and RFC 2822 datetime stamps.
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- Fantastic parsing of both dates written for/by humans and machines (``maya.when()`` vs ``maya.parse()``).
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- Support for human slang, both import and export (e.g. `an hour ago`).
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- Datetimes can very easily be generated, with or without tzinfo attached.
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- This library is based around epoch time, but dates before Jan 1 1970 are indeed supported, via negative integers.
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- Maya never panics, and always carries a towel.
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☤ What about Delorean_, Arrow_, & Pendulum_?
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-----------------------------------------
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All these projects complement each other, and are friends. Pendulum, for example, helps power Maya's parsing.
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Arrow, for example, is a fantastic library, but isn't what I wanted in a datetime library. In many ways, it's better than Maya for certain things. In some ways, in my opinion, it's not.
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I simply desire a sane API for datetimes that made sense to me for all the things I'd ever want to do—especially when dealing with timezone algebra. Arrow doesn't do all of the things I need (but it does a lot more!). Maya does do exactly what I need.
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I think these projects complement each-other, personally. Maya is great for parsing websites, and dealing with calendar events!
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.. _Delorean: https://delorean.readthedocs.io/
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.. _Arrow: https://arrow.readthedocs.io/
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.. _Pendulum: https://pendulum.eustace.io/
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☤ Installing Maya
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-----------------
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Installation is easy, with:
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$ pip install maya
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How to Contribute
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-----------------
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#. Check for open issues or open a fresh issue to start a discussion around a feature idea or a bug.
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#. Fork `the repository`_ on GitHub to start making your changes to the **master** branch (or branch off of it).
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#. Write a test which shows that the bug was fixed or that the feature works as expected.
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#. Send a pull request and bug the maintainer until it gets merged and published. :)
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.. _`the repository`: http://github.com/timofurrer/maya
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