- author_results = search.search_words(words, ['authors'])
-
- title_results = search.search_words(words, ['title'])
-
- author_title_mixed = search.search_words(words, ['authors', 'title', 'metadata'])
- author_title_rest = []
-
- for b in author_title_mixed:
- also_in_mixed = filter(lambda ba: ba.book_id == b.book_id, author_results + title_results)
- for b2 in also_in_mixed:
- b2.boost *= 1.1
- if not also_in_mixed:
- author_title_rest.append(b)
-
- text_phrase = SearchResult.aggregate(search.search_words(words, ['text'], book=False))
-
- everywhere = search.search_words(words, ['metadata', 'text', 'themes_pl'], book=False)
-
- 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, author_title_rest)
- title_results = SearchResult.aggregate(title_results)
-
- everywhere = SearchResult.aggregate(everywhere, author_title_rest)
-
- for field, res in [('authors', author_results),
- ('title', title_results),
- ('text', text_phrase),
- ('text', everywhere)]:
- res.sort(reverse=True)
- for r in res:
- search.get_snippets(r, query, field, 3)
+ results_parts = []
+
+ search_fields = []
+ fieldsets = (
+ (['authors'], True),
+ (['title'], True),
+ (['metadata'], True),
+ (['text', 'themes_pl'], False),
+ )
+ for fieldset, is_book in fieldsets:
+ search_fields += fieldset
+ results_parts.append(search.search_words(words, search_fields, book=is_book))
+
+ results = []
+ ids_results = {}
+ for results_part in results_parts:
+ for result in sorted(SearchResult.aggregate(results_part), reverse=True):
+ book_id = result.book_id
+ if book_id in ids_results:
+ ids_results[book_id].merge(result)
+ else:
+ results.append(result)
+ ids_results[book_id] = result
+
+ for result in results:
+ search.get_snippets(result, query, num=3)