# This file is part of Wolnelektury, licensed under GNU Affero GPLv3 or later.
# Copyright © Fundacja Nowoczesna Polska. See NOTICE for more information.
#
-from base64 import b64encode
import os.path
from urlparse import urljoin
from basicauth import logged_in_or_basicauth, factory_decorator
from catalogue.models import Book, Tag
-from catalogue.views import books_starting_with
+from search import Search, SearchResult, JVM
+from lucene import Term, QueryWrapperFilter, TermQuery
+
+import re
+
+from stats.utils import piwik_track
_root_feeds = (
{
return u''
def item_enclosure_url(self, book):
- return full_url(book.root_ancestor.epub_file.url)
+ return full_url(book.epub_file.url) if book.epub_file else None
def item_enclosure_length(self, book):
- return book.root_ancestor.epub_file.size
-
+ return book.epub_file.size if book.epub_file else None
+@piwik_track
class RootFeed(Feed):
feed_type = OPDSFeed
title = u'Wolne Lektury'
- link = u'http://www.wolnelektury.pl/'
+ link = u'http://wolnelektury.pl/'
description = u"Spis utworów na stronie http://WolneLektury.pl"
author_name = u"Wolne Lektury"
- author_link = u"http://www.wolnelektury.pl/"
+ author_link = u"http://wolnelektury.pl/"
def items(self):
return _root_feeds
def item_description(self, item):
return item['description']
-
+@piwik_track
class ByCategoryFeed(Feed):
feed_type = OPDSFeed
- link = u'http://www.wolnelektury.pl/'
+ link = u'http://wolnelektury.pl/'
description = u"Spis utworów na stronie http://WolneLektury.pl"
author_name = u"Wolne Lektury"
- author_link = u"http://www.wolnelektury.pl/"
+ author_link = u"http://wolnelektury.pl/"
def get_object(self, request, category):
feed = [feed for feed in _root_feeds if feed['category']==category]
return feed['title']
def items(self, feed):
- return (tag for tag in Tag.objects.filter(category=feed['category']) if tag.get_count() > 0)
+ return Tag.objects.filter(category=feed['category']).exclude(book_count=0)
def item_title(self, item):
return item.name
def item_description(self):
return u''
-
+@piwik_track
class ByTagFeed(AcquisitionFeed):
def link(self, tag):
return tag.get_absolute_url()
return books
-#@factory_decorator(logged_in_or_basicauth())
+@factory_decorator(logged_in_or_basicauth())
+@piwik_track
class UserFeed(Feed):
feed_type = OPDSFeed
link = u'http://www.wolnelektury.pl/'
description = u"Półki użytkownika na stronie http://WolneLektury.pl"
author_name = u"Wolne Lektury"
- author_link = u"http://www.wolnelektury.pl/"
+ author_link = u"http://wolnelektury.pl/"
def get_object(self, request):
return request.user
return u"Półki użytkownika %s" % user.username
def items(self, user):
- return (tag for tag in Tag.objects.filter(category='set', user=user) if tag.get_count() > 0)
+ return Tag.objects.filter(category='set', user=user).exclude(book_count=0)
def item_title(self, item):
return item.name
return u''
# no class decorators in python 2.5
-UserFeed = factory_decorator(logged_in_or_basicauth())(UserFeed)
+#UserFeed = factory_decorator(logged_in_or_basicauth())(UserFeed)
-#@factory_decorator(logged_in_or_basicauth())
+@factory_decorator(logged_in_or_basicauth())
+@piwik_track
class UserSetFeed(AcquisitionFeed):
def link(self, tag):
return tag.get_absolute_url()
return Book.tagged.with_any([tag])
# no class decorators in python 2.5
-UserSetFeed = factory_decorator(logged_in_or_basicauth())(UserSetFeed)
+#UserSetFeed = factory_decorator(logged_in_or_basicauth())(UserSetFeed)
+@piwik_track
class SearchFeed(AcquisitionFeed):
description = u"Wyniki wyszukiwania na stronie WolneLektury.pl"
title = u"Wyniki wyszukiwania"
+
+ INLINE_QUERY_RE = re.compile(r"(author:(?P<author>[^ ]+)|title:(?P<title>[^ ]+)|categories:(?P<categories>[^ ]+)|description:(?P<description>[^ ]+))")
def get_object(self, request):
- return request.GET.get('q', '')
+ """
+ For OPDS 1.1 We should handle a query for search terms
+ 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).
+
+ but if search terms are empty, we should do a different search
+ (perhaps for is_book=True)
+
+ """
+ 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)
+ print e
+ if not e:
+ return None
+ c = e[0][position]
+ print c
+ if c[0] == '"' and c[-1] == '"':
+ c = c[1:-1]
+ c = c.replace('+', ' ')
+ return c
+
+ #import pdb; pdb.set_trace()
+ author = get_criteria(inline_criteria, 'author', 1)
+ title = get_criteria(inline_criteria, 'title', 2)
+ translator = None
+ categories = get_criteria(inline_criteria, 'categories', 3)
+ query = get_criteria(inline_criteria, 'description', 4)
+ else:
+ author = request.GET.get('author', '')
+ title = request.GET.get('title', '')
+ translator = request.GET.get('translator', '')
+ categories = None
+ fuzzy = False
+
+
+ srch = Search()
+ hint = srch.hint()
+
+ # Scenario 1: full search terms provided.
+ # Use auxiliarry information to narrow it and make it better.
+ if query:
+ filters = []
+
+ if author:
+ print "narrow to author %s" % author
+ hint.tags(srch.search_tags(author, filter=srch.term_filter(Term('tag_category', 'author'))))
+
+ if translator:
+ print "filter by translator %s" % translator
+ filters.append(QueryWrapperFilter(
+ srch.make_phrase(srch.get_tokens(translator, field='translators'),
+ field='translators')))
+
+ if categories:
+ filters.append(QueryWrapperFilter(
+ srch.make_phrase(srch.get_tokens(categories, field="tag_name_pl"),
+ field='tag_name_pl')))
+
+ flt = srch.chain_filters(filters)
+ if title:
+ print "hint by book title %s" % title
+ q = srch.make_phrase(srch.get_tokens(title, field='title'), field='title')
+ hint.books(*srch.search_books(q, filter=flt))
+
+ toks = srch.get_tokens(query)
+ print "tokens: %s" % toks
+ # import pdb; pdb.set_trace()
+ 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)
+ return [r.book for r in results]
+ 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.
+ filters = []
+
+ fields = {
+ 'author': author,
+ 'translators': translator,
+ 'title': title
+ }
+
+ for fld, q in fields.items():
+ if q:
+ filters.append(QueryWrapperFilter(
+ srch.make_phrase(srch.get_tokens(q, field=fld), field=fld)))
+
+ flt = srch.chain_filters(filters)
+ books = srch.search_books(TermQuery(Term('is_book', 'true')), filter=flt)
+ return books
def get_link(self, query):
- return "%s?q=%s" % (reverse('search'), query)
+ return "%s?q=%s" % (reverse('search'), query)
- def items(self, query):
+ def items(self, books):
try:
- return books_starting_with(query)
+ return books
except ValueError:
# too short a query
return []
fnp / wolnelektury.git / blobdiff