-
- text_phrase = SearchResult.aggregate(srch.search_phrase(toks, 'content', fuzzy=fuzzy, tokens_cache=tokens_cache))
- [r.process_hits() for r in text_phrase]
-
- everywhere = SearchResult.aggregate(srch.search_everywhere(toks, fuzzy=fuzzy, tokens_cache=tokens_cache), author_title_rest)
- [r.process_hits() for r in everywhere]
+
+ # 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 + text_phrase)
+ everywhere = filter(lambda x: not f(x), everywhere)
+
+ author_results = SearchResult.aggregate(author_results)
+ title_results = SearchResult.aggregate(title_results)
+
+ everywhere = SearchResult.aggregate(everywhere, author_title_rest)