+ query = request.GET.get('q', '')
+
+ if len(query) < 2:
+ return render_to_response('catalogue/search_too_short.html',
+ {'prefix': query},
+ context_instance=RequestContext(request))
+
+ query = remove_query_syntax_chars(query)
+
+ search = Search()
+
+ theme_terms = search.index.analyze(text=query, field="themes_pl") \
+ + search.index.analyze(text=query, field="themes")
+
+ # change hints
+ tags = search.hint_tags(query, pdcounter=True, prefix=False)
+ tags = split_tags(tags)
+
+ author_results = search.search_phrase(query, 'authors', book=True)
+ translator_results = search.search_phrase(query, 'translators', book=True)
+
+ title_results = search.search_phrase(query, 'title', book=True)
+
+ # Boost main author/title results with mixed search, and save some of its results for end of list.
+ # boost author, title results
+ author_title_mixed = search.search_some(query, ['authors', 'translators', 'title', 'tags'], query_terms=theme_terms)
+ author_title_rest = []
+
+ for b in author_title_mixed:
+ also_in_mixed = filter(lambda ba: ba.book_id == b.book_id, author_results + translator_results + title_results)
+ for b2 in also_in_mixed:
+ b2.boost *= 1.1
+ if also_in_mixed is []:
+ author_title_rest.append(b)
+
+ # Do a phrase search but a term search as well - this can give us better snippets then search_everywhere,
+ # Because the query is using only one field.
+ text_phrase = SearchResult.aggregate(
+ search.search_phrase(query, 'text', snippets=True, book=False),
+ search.search_some(query, ['text'], snippets=True, book=False, query_terms=theme_terms))
+
+ everywhere = search.search_everywhere(query, query_terms=theme_terms)
+
+ def already_found(results):
+ def f(e):
+ for r in results:
+ if e.book_id == r.book_id:
+ e.boost = 0.9
+ results.append(e)
+ return True
+ return False
+ return f
+ f = already_found(author_results + translator_results + title_results + text_phrase)
+ everywhere = filter(lambda x: not f(x), everywhere)
+
+ author_results = SearchResult.aggregate(author_results)
+ translator_results = SearchResult.aggregate(translator_results)
+ title_results = SearchResult.aggregate(title_results)
+
+ everywhere = SearchResult.aggregate(everywhere, author_title_rest)
+
+ for field, res in [('authors', author_results),
+ ('translators', translator_results),
+ ('title', title_results),
+ ('text', text_phrase),
+ ('text', everywhere)]:
+ res.sort(reverse=True)
+ for r in res:
+ search.get_snippets(r, query, field, 3)
+
+ suggestion = u''
+
+ def ensure_exists(r):