b2.boost *= 1.1
if bks is []:
author_title_rest.append(b)
-
- text_phrase = SearchResult.aggregate(srch.search_phrase(toks, 'content', fuzzy=fuzzy, tokens_cache=tokens_cache, snippets=True, book=False))
-
+
+ # 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(
+ srch.search_phrase(toks, 'content', fuzzy=fuzzy, tokens_cache=tokens_cache, snippets=True, book=False, slop=4),
+ srch.search_some(toks, ['content'], tokens_cache=tokens_cache, snippets=True, book=False))
+
everywhere = srch.search_everywhere(toks, fuzzy=fuzzy, tokens_cache=tokens_cache)
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 + title_results)
+ f = already_found(author_results + title_results + text_phrase)
everywhere = filter(lambda x: not f(x), everywhere)
author_results = SearchResult.aggregate(author_results)