Mercurial > p > roundup > code
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 :
