Current File : //usr/lib/calibre/calibre/utils/opensearch/query.py
__license__ = 'GPL 3'
__copyright__ = '2006, Ed Summers <ehs@pobox.com>'
__docformat__ = 'restructuredtext en'
from polyglot.urllib import parse_qs, urlencode, urlparse, urlunparse
class Query:
'''
Represents an opensearch query Really this class is just a
helper for substituting values into the macros in a format.
format = 'http://beta.indeed.com/opensearch?q={searchTerms}&start={startIndex}&limit={count}'
q = Query(format)
q.searchTerms('zx81')
q.startIndex = 1
q.count = 25
print q.url()
'''
standard_macros = ['searchTerms', 'count', 'startIndex', 'startPage',
'language', 'outputEncoding', 'inputEncoding']
def __init__(self, format):
'''
Create a query object by passing it the url format obtained
from the opensearch Description.
'''
self.format = format
# unpack the url to a tuple
self.url_parts = urlparse(format)
# unpack the query string to a dictionary
self.query_string = parse_qs(self.url_parts[4])
# look for standard macros and create a mapping of the
# opensearch names to the service specific ones
# so q={searchTerms} will result in a mapping between searchTerms and q
self.macro_map = {}
for key,values in self.query_string.items():
# TODO eventually optional/required params should be
# distinguished somehow (the ones with/without trailing ?
macro = values[0].replace('{', '').replace('}', '').replace('?', '')
if macro in Query.standard_macros:
self.macro_map[macro] = key
def url(self):
# copy the original query string
query_string = dict(self.query_string)
# iterate through macros and set the position in the querystring
for macro, name in self.macro_map.items():
if hasattr(self, macro):
# set the name/value pair
query_string[name] = [getattr(self, macro)]
else:
# remove the name/value pair
del(query_string[name])
# copy the url parts and substitute in our new query string
url_parts = list(self.url_parts)
url_parts[4] = urlencode(query_string, 1)
# recompose and return url
return urlunparse(tuple(url_parts))
def has_macro(self, macro):
return macro in self.macro_map
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