self.remove_book(book, remove_snippets=False)
book_doc = self.create_book_doc(book)
- meta_fields = self.extract_metadata(book, book_info, dc_only=['source_name', 'authors', 'translators', 'title'])
+ meta_fields = self.extract_metadata(book, book_info, dc_only=[
+ 'source_name', 'authors', 'translators', 'title', 'epochs', 'kinds', 'genres'])
# let's not index it - it's only used for extracting publish date
if 'source_name' in meta_fields:
del meta_fields['source_name']
'published_date': meta_fields['published_date']
}
- if 'translators' in meta_fields:
- book_fields['translators'] = meta_fields['translators']
+ for tag_name in ('translators', 'epochs', 'kinds', 'genres'):
+ if tag_name in meta_fields:
+ book_fields[tag_name] = meta_fields[tag_name]
self.index_content(book, book_fields=book_fields)
return q
- def search_phrase(self, searched, field='text', book=False,
- filters=None,
- snippets=False):
- if filters is None:
- filters = []
- if book:
- filters.append(self.index.Q(is_book=True))
-
- q = self.index.query(**{field: searched})
- q = self.apply_filters(q, filters).field_limit(score=True, all_fields=True)
- res = q.paginate(rows=100).execute()
- return [SearchResult(found, how_found=u'search_phrase') for found in res]
-
- def search_some(self, searched, fields, book=True,
- filters=None, snippets=True, query_terms=None):
- assert isinstance(fields, list)
- if filters is None:
- filters = []
+ def search_words(self, words, fields, book=True):
+ filters = []
+ for word in words:
+ word_filter = None
+ for field in fields:
+ q = self.index.Q(**{field: word})
+ if word_filter is None:
+ word_filter = q
+ else:
+ word_filter |= q
+ filters.append(word_filter)
if book:
- filters.append(self.index.Q(is_book=True))
-
- query = self.index.Q()
-
- for fld in fields:
- query = self.index.Q(query | self.make_term_query(searched, fld))
-
- query = self.index.query(query)
+ query = self.index.query(is_book=True)
+ else:
+ query = self.index.query()
query = self.apply_filters(query, filters).field_limit(score=True, all_fields=True)
- res = query.execute()
- return [SearchResult(found, how_found='search_some', query_terms=query_terms) for found in res]
-
- def search_everywhere(self, searched, query_terms=None):
- """
- Tries to use search terms to match different fields of book (or its parts).
- E.g. one word can be an author survey, another be a part of the title, and the rest
- are some words from third chapter.
- """
- books = []
- # content only query : themes x content
- q = self.make_term_query(searched, 'text')
- q_themes = self.make_term_query(searched, 'themes_pl')
-
- query = self.index.query(q).query(q_themes).field_limit(score=True, all_fields=True)
- res = query.execute()
-
- for found in res:
- books.append(SearchResult(found, how_found='search_everywhere_themesXcontent', query_terms=query_terms))
-
- # query themes/content x author/title/tags
- in_content = self.index.Q()
- in_meta = self.index.Q()
-
- for fld in ['themes_pl', 'text']:
- in_content |= self.make_term_query(searched, field=fld)
-
- for fld in ['tags', 'authors', 'title']:
- in_meta |= self.make_term_query(searched, field=fld)
-
- q = in_content & in_meta
- res = self.index.query(q).field_limit(score=True, all_fields=True).execute()
-
- for found in res:
- books.append(SearchResult(found, how_found='search_everywhere', query_terms=query_terms))
-
- return books
+ return [SearchResult(found, how_found='search_words') for found in query]
def get_snippets(self, searchresult, query, field='text', num=1):
"""