# This file is part of Wolnelektury, licensed under GNU Affero GPLv3 or later.
# Copyright © Fundacja Nowoczesna Polska. See NOTICE for more information.
#
# This file is part of Wolnelektury, licensed under GNU Affero GPLv3 or later.
# Copyright © Fundacja Nowoczesna Polska. See NOTICE for more information.
#
from basicauth import logged_in_or_basicauth, factory_decorator
from catalogue.models import Book, Tag
from basicauth import logged_in_or_basicauth, factory_decorator
from catalogue.models import Book, Tag
def get_object(self, request, category):
feed = [feed for feed in _root_feeds if feed['category']==category]
def get_object(self, request, category):
feed = [feed for feed in _root_feeds if feed['category']==category]
descendants_keys = [book.pk for book in Book.tagged.with_any(l_tags)]
if descendants_keys:
books = books.exclude(pk__in=descendants_keys)
descendants_keys = [book.pk for book in Book.tagged.with_any(l_tags)]
if descendants_keys:
books = books.exclude(pk__in=descendants_keys)
link = u'http://www.wolnelektury.pl/'
description = u"Półki użytkownika na stronie http://WolneLektury.pl"
author_name = u"Wolne Lektury"
link = u'http://www.wolnelektury.pl/'
description = u"Półki użytkownika na stronie http://WolneLektury.pl"
author_name = u"Wolne Lektury"
def get_object(self, request):
"""
For OPDS 1.1 We should handle a query for search terms
def get_object(self, request):
"""
For OPDS 1.1 We should handle a query for search terms
- and atom:author, atom:contributor, atom:title
+ and criteria provided either as opensearch or 'inline' query.
+ OpenSearch defines fields: atom:author, atom:contributor (treated as translator),
+ atom:title. Inline query provides author, title, categories (treated as book tags),
+ description (treated as content search terms).
+
if search terms are provided, we shall search for books
according to Hint information (from author & contributror & title).
if search terms are provided, we shall search for books
according to Hint information (from author & contributror & title).
JVM.attachCurrentThread()
query = request.GET.get('q', '')
JVM.attachCurrentThread()
query = request.GET.get('q', '')
inline_criteria = re.findall(self.INLINE_QUERY_RE, query)
if inline_criteria:
def get_criteria(criteria, name, position):
e = filter(lambda el: el[0][0:len(name)] == name, criteria)
inline_criteria = re.findall(self.INLINE_QUERY_RE, query)
if inline_criteria:
def get_criteria(criteria, name, position):
e = filter(lambda el: el[0][0:len(name)] == name, criteria)
author = get_criteria(inline_criteria, 'author', 1)
title = get_criteria(inline_criteria, 'title', 2)
translator = None
author = get_criteria(inline_criteria, 'author', 1)
title = get_criteria(inline_criteria, 'title', 2)
translator = None
author = request.GET.get('author', '')
title = request.GET.get('title', '')
translator = request.GET.get('translator', '')
author = request.GET.get('author', '')
title = request.GET.get('title', '')
translator = request.GET.get('translator', '')
- print "narrow to author %s" % author
- hint.tags(srch.search_tags(author, filter=srch.term_filter(Term('tag_category', 'author'))))
+ log.info( "narrow to author %s" % author)
+ hint.tags(srch.search_tags(author, filt=srch.term_filter(Term('tag_category', 'author'))))
filters.append(QueryWrapperFilter(
srch.make_phrase(srch.get_tokens(translator, field='translators'),
field='translators')))
filters.append(QueryWrapperFilter(
srch.make_phrase(srch.get_tokens(translator, field='translators'),
field='translators')))
results = SearchResult.aggregate(srch.search_perfect_book(toks, fuzzy=fuzzy, hint=hint),
srch.search_perfect_parts(toks, fuzzy=fuzzy, hint=hint),
srch.search_everywhere(toks, fuzzy=fuzzy, hint=hint))
results.sort(reverse=True)
results = SearchResult.aggregate(srch.search_perfect_book(toks, fuzzy=fuzzy, hint=hint),
srch.search_perfect_parts(toks, fuzzy=fuzzy, hint=hint),
srch.search_everywhere(toks, fuzzy=fuzzy, hint=hint))
results.sort(reverse=True)
else:
# Scenario 2: since we no longer have to figure out what the query term means to the user,
# we can just use filters and not the Hint class.
else:
# Scenario 2: since we no longer have to figure out what the query term means to the user,
# we can just use filters and not the Hint class.
srch.make_phrase(srch.get_tokens(q, field=fld), field=fld)))
flt = srch.chain_filters(filters)
srch.make_phrase(srch.get_tokens(q, field=fld), field=fld)))
flt = srch.chain_filters(filters)