view roundup/cgi/accept_language.py @ 4587:a2eb4fb3e6d8

New Chameleon templating engine, engine is now configurable. We now have two configurable templating engines, the old Zope TAL templates (called zopetal in the config) and the new Chameleon (called chameleon in the config). A new config-option "template_engine" under [main] can take these config-options, the default is zopetal. Thanks to Cheer Xiao for the idea of making this configurable *and* for the actual implementation! Cheer Xiao commit log: - The original TAL engine ported from Zope is thereafter referred to as "zopetal", in speech and in code - A new option "template_engine" under [main] introduced - Zopetal-specific code stripped from cgi/templating.py to form the new cgi/engine_zopetal.py - Interface to Chameleon in cgi/engine_chameleon.py - Engines are supposed to provide a Templates class that mimics the behavior of the old cgi.templating.Templates. The Templates class is preferably subclassed from cgi.templating.TemplatesBase. - New function cgi.templating.get_templates to get the appropriate engine's Templates instance according to the engine name
author Ralf Schlatterbeck <rsc@runtux.com>
date Thu, 23 Feb 2012 18:10:03 +0100
parents 74476eaac38a
children b00cd44fea16
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"""Parse the Accept-Language header as defined in RFC2616.

See http://www.w3.org/Protocols/rfc2616/rfc2616-sec14.html#sec14.4
for details.  This module should follow the spec.
Author: Hernan M. Foffani (hfoffani@gmail.com)
Some use samples:

>>> parse("da, en-gb;q=0.8, en;q=0.7")
['da', 'en_gb', 'en']
>>> parse("en;q=0.2, fr;q=1")
['fr', 'en']
>>> parse("zn; q = 0.2 ,pt-br;q =1")
['pt_br', 'zn']
>>> parse("es-AR")
['es_AR']
>>> parse("es-es-cat")
['es_es_cat']
>>> parse("")
[]
>>> parse(None)
[]
>>> parse("   ")
[]
>>> parse("en,")
['en']
"""

import re
import heapq

# regexp for languange-range search
nqlre = "([A-Za-z]+[-[A-Za-z]+]*)$"
# regexp for languange-range search with quality value
qlre  = "([A-Za-z]+[-[A-Za-z]+]*);q=([\d\.]+)"
# both
lre   = re.compile(nqlre + "|" + qlre)

ascii = ''.join([chr(x) for x in range(256)])
whitespace = ' \t\n\r\v\f'

def parse(language_header):
    """parse(string_with_accept_header_content) -> languages list"""

    if language_header is None: return []

    # strip whitespaces.
    lh = language_header.translate(ascii, whitespace)

    # if nothing, return
    if lh == "": return []

    # split by commas and parse the quality values.
    pls = [lre.findall(x) for x in lh.split(',')]

    # drop uncomformant
    qls = [x[0] for x in pls if len(x) > 0]

    # use a heap queue to sort by quality values.
    # the value of each item is 1.0 complement.
    pq = []
    for l in qls:
        if l[0] != '':
            heapq.heappush(pq, (0.0, l[0]))
        else:
            heapq.heappush(pq, (1.0-float(l[2]), l[1]))

    # get the languages ordered by quality
    # and replace - by _
    return [x[1].replace('-','_') for x in pq]

if __name__ == "__main__":
    import doctest
    doctest.testmod()

# vim: set et sts=4 sw=4 :

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