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Metadata-Version: 1.1
Name: aniso8601
Version: 0.83
Summary: A library for parsing ISO 8601 strings.
Home-page: https://bitbucket.org/nielsenb/aniso8601
Author: Brandon Nielsen
Author-email: nielsenb@jetfuse.net
License: UNKNOWN
Description: ===========
         aniso8601
        ===========
        
        ----------------------------------
        Another ISO 8601 parser for Python
        ----------------------------------
        
        Features
        ========
        * Pure Python implementation
        * Python 3 support
        * No extra dependencies
        * Logical behavior
        
         - Parse a time, get a `datetime.time <http://docs.python.org/2/library/datetime.html#datetime.time>`_
         - Parse a date, get a `datetime.date <http://docs.python.org/2/library/datetime.html#datetime.date>`_
         - Parse a datetime, get a `datetime.datetime <http://docs.python.org/2/library/datetime.html#datetime.datetime>`_
         - Parse a duration, get a `datetime.timedelta <http://docs.python.org/2/library/datetime.html#datetime.timedelta>`_
         - Parse an interval, get a tuple of dates or datetimes
         - Parse a repeating interval, get a date or datetime `generator <http://www.python.org/dev/peps/pep-0255/>`_
        
        * UTC offset represented as fixed-offset tzinfo
        * No regular expressions
        
        Installation
        ============
        
        The recommended installation method is to use pip::
        
          $ pip install aniso8601
        
        Alternatively, you can download the source (git repository hosted at `Bitbucket <https://bitbucket.org/nielsenb/aniso8601>`_) and install directly::
        
          $ python setup.py install
        
        Use
        ===
        
        Parsing datetimes
        -----------------
        
        To parse a typical ISO 8601 datetime string::
        
          >>> import aniso8601
          >>> aniso8601.parse_datetime('1977-06-10T12:00:00Z')
          datetime.datetime(1977, 6, 10, 12, 0, tzinfo=<aniso8601.UTCOffset object at 0x7f44fadbbd90>)
        
        Alternative delimiters can be specified, for example, a space::
        
          >>> aniso8601.parse_datetime('1977-06-10 12:00:00Z', delimiter=' ')
          datetime.datetime(1977, 6, 10, 12, 0, tzinfo=<aniso8601.UTCOffset object at 0x7f44fadbbf50>)
        
        UTC offsets are supported::
        
          >>> aniso8601.parse_datetime('1979-06-05T08:00:00-08:00')
          datetime.datetime(1979, 6, 5, 8, 0, tzinfo=<aniso8601.UTCOffset object at 0x7f44fadbbf50>)
        
        If a UTC offset is not specified, the returned datetime will be naive::
        
          >>> aniso8601.parse_datetime('1983-01-22T08:00:00')
          datetime.datetime(1983, 1, 22, 8, 0)
        
        Parsing dates
        -------------
        
        To parse a date represented in an ISO 8601 string::
        
          >>> import aniso8601
          >>> aniso8601.parse_date('1984-04-23')
          datetime.date(1984, 4, 23)
        
        Basic format is supported as well::
        
          >>> aniso8601.parse_date('19840423')
          datetime.date(1984, 4, 23)
        
        To parse a date using the ISO 8601 week date format::
        
          >>> aniso8601.parse_date('1986-W38-1')
          datetime.date(1986, 9, 15)
        
        To parse an ISO 8601 ordinal date::
        
          >>> aniso8601.parse_date('1988-132')
          datetime.date(1988, 5, 11)
        
        Parsing times
        -------------
        
        To parse a time formatted as an ISO 8601 string::
        
          >>> import aniso8601
          >>> aniso8601.parse_time('11:31:14')
          datetime.time(11, 31, 14)
        
        As with all of the above, basic format is supported::
        
          >>> aniso8601.parse_time('113114')
          datetime.time(11, 31, 14)
        
        A UTC offset can be specified for times::
        
          >>> aniso8601.parse_time('17:18:19-02:30')
          datetime.time(17, 18, 19, tzinfo=<aniso8601.UTCOffset object at 0x7f44fad82c50>)
          >>> aniso8601.parse_time('171819Z')
          datetime.time(17, 18, 19, tzinfo=<aniso8601.UTCOffset object at 0x7f44fadbbd90>)
        
        Reduced accuracy is supported::
        
          >>> aniso8601.parse_time('21:42')
          datetime.time(21, 42)
          >>> aniso8601.parse_time('22')
          datetime.time(22, 0)
        
        A decimal fraction is always allowed on the lowest order element of an ISO 8601 formatted time::
        
          >>> aniso8601.parse_time('22:33.5')
          datetime.time(22, 33, 30)
          >>> aniso8601.parse_time('23.75')
          datetime.time(23, 45)
        
        Parsing durations
        -----------------
        
        To parse a duration formatted as an ISO 8601 string::
        
          >>> import aniso8601
          >>> aniso8601.parse_duration('P1Y2M3DT4H54M6S')
          datetime.timedelta(428, 17646)
        
        Reduced accuracy is supported::
        
          >>> aniso8601.parse_duration('P1Y')
          datetime.timedelta(365)
        
        A decimal fraction is allowed on the lowest order element::
        
          >>> aniso8601.parse_duration('P1YT3.5M')
          datetime.timedelta(365, 210)
        
        The decimal fraction can be specified with a comma instead of a full-stop::
        
          >>> aniso8601.parse_duration('P1YT3,5M')
          datetime.timedelta(365, 210)
        
        Parsing a duration from a combined date and time is supported as well::
        
          >>> aniso8601.parse_duration('P0001-01-02T01:30:5')
          datetime.timedelta(397, 5405)
        
        Parsing intervals
        -----------------
        
        To parse an interval specified by a start and end::
        
          >>> import aniso8601
          >>> aniso8601.parse_interval('2007-03-01T13:00:00/2008-05-11T15:30:00')
          (datetime.datetime(2007, 3, 1, 13, 0), datetime.datetime(2008, 5, 11, 15, 30))
        
        Intervals specified by a start time and a duration are supported::
        
          >>> aniso8601.parse_interval('2007-03-01T13:00:00Z/P1Y2M10DT2H30M')
          (datetime.datetime(2007, 3, 1, 13, 0, tzinfo=<aniso8601.UTCOffset object at 0x7f698d44d110>), datetime.datetime(2008, 5, 9, 15, 30, tzinfo=<aniso8601.UTCOffset object at 0x7f698d44d110>))
        
        A duration can also be specified by a duration and end time::
        
          >>> aniso8601.parse_interval('P1M/1981-04-05')
          (datetime.date(1981, 4, 5), datetime.date(1981, 3, 6))
        
        Notice that the result of the above parse is not in order from earliest to latest. If sorted intervals are required, simply use the 'sorted' keyword as shown below::
        
          >>> sorted(aniso8601.parse_interval('P1M/1981-04-05'))
          [datetime.date(1981, 3, 6), datetime.date(1981, 4, 5)]
        
        Repeating intervals are supported as well, and return a generator::
        
          >>> aniso8601.parse_repeating_interval('R3/1981-04-05/P1D')
          <generator object date_generator at 0x7f698cdefc80>
          >>> list(aniso8601.parse_repeating_interval('R3/1981-04-05/P1D'))
          [datetime.date(1981, 4, 5), datetime.date(1981, 4, 6), datetime.date(1981, 4, 7)]
        
        Repeating intervals are allowed to go in the reverse direction::
        
          >>> list(aniso8601.parse_repeating_interval('R2/PT1H2M/1980-03-05T01:01:00'))
          [datetime.datetime(1980, 3, 5, 1, 1), datetime.datetime(1980, 3, 4, 23, 59)]
        
        Unbounded intervals are also allowed (Python 2)::
        
          >>> result = aniso8601.parse_repeating_interval('R/PT1H2M/1980-03-05T01:01:00')
          >>> result.next()
          datetime.datetime(1980, 3, 5, 1, 1)
          >>> result.next()
          datetime.datetime(1980, 3, 4, 23, 59)
        
        or for Python 3::
        
          >>> result = aniso8601.parse_repeating_interval('R/PT1H2M/1980-03-05T01:01:00')
          >>> next(result)
          datetime.datetime(1980, 3, 5, 1, 1)
          >>> next(result)
          datetime.datetime(1980, 3, 4, 23, 59)
        
        Note that you should never try to convert a generator produced by an unbounded interval to a list::
        
          >>> list(aniso8601.parse_repeating_interval('R/PT1H2M/1980-03-05T01:01:00'))
          Traceback (most recent call last):
            File "<stdin>", line 1, in <module>
            File "aniso8601/__init__.py", line 707, in date_generator_unbounded
              currentdate += timedelta
          OverflowError: date value out of range
        
        Tests
        =====
        
        To run the unit tests, in your source checkout, navigate to the source directory for the Python version being worked on (python2, python3) and type::
        
           $ python -m unittest discover aniso8601/tests/
        
        Contributing
        ============
        
        aniso8601 is an open source project hosted on `Bitbucket <https://bitbucket.org/nielsenb/aniso8601>`_.
        
        Any and all bugs are welcome on our `issue tracker <https://bitbucket.org/nielsenb/aniso8601/issues>`_.
        Of particular interest are valid ISO 8601 strings that don't parse, or invalid ones that do. At a minimum,
        bug reports should include an example of the misbehaving string, as well as the expected result. Of course
        patches containing unit tests (or fixed bugs) are welcome!
        
        References
        ==========
        
        * `ISO 8601:2004(E) <http://dotat.at/tmp/ISO_8601-2004_E.pdf>`_ (Caution, PDF link)
        * `Wikipedia article on ISO 8601 <http://en.wikipedia.org/wiki/Iso8601>`_
        * `Discussion on alternative ISO 8601 parsers for Python <https://groups.google.com/forum/#!topic/comp.lang.python/Q2w4R89Nq1w>`_
        
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development :: Libraries :: Python Modules

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