1 # -*- coding: utf-8 -*-
3 from django.conf import settings
8 from librarian import dcparser
9 from librarian.parser import WLDocument
10 from lxml import etree
11 import catalogue.models
12 from pdcounter.models import Author as PDCounterAuthor, BookStub as PDCounterBook
13 from itertools import chain
16 log = logging.getLogger('search')
21 log = logging.getLogger('search')
23 class SolrIndex(object):
24 def __init__(self, mode=None):
25 self.index = custom.CustomSolrInterface(settings.SOLR, mode=mode)
28 class Snippets(object):
30 This class manages snippet files for indexed object (book)
31 the snippets are concatenated together, and their positions and
32 lengths are kept in lucene index fields.
34 SNIPPET_DIR = "snippets"
36 def __init__(self, book_id, revision=None):
38 os.makedirs(os.path.join(settings.SEARCH_INDEX, self.SNIPPET_DIR))
39 except OSError as exc:
40 if exc.errno == errno.EEXIST:
43 self.book_id = book_id
44 self.revision = revision
49 if self.revision: fn = "%d.%d" % (self.book_id, self.revision)
50 else: fn = "%d" % self.book_id
52 return os.path.join(settings.SEARCH_INDEX, self.SNIPPET_DIR, fn)
54 def open(self, mode='r'):
56 Open the snippet file. Call .close() afterwards.
62 if os.path.exists(self.path):
65 if not os.path.exists(self.path):
69 self.file = open(self.path, mode)
73 def add(self, snippet):
75 Append a snippet (unicode) to the snippet file.
76 Return a (position, length) tuple
78 txt = snippet.encode('utf-8')
81 pos = (self.position, l)
87 Given a tuple of (position, length) return an unicode
88 of the snippet stored there.
90 self.file.seek(pos[0], 0)
91 txt = self.file.read(pos[1]).decode('utf-8')
95 """Close snippet file"""
110 class Index(SolrIndex):
112 Class indexing books.
115 super(Index, self).__init__(mode='rw')
117 def delete_query(self, *queries):
119 index.delete(queries=...) doesn't work, so let's reimplement it
120 using deletion of list of uids.
124 if isinstance(q, sunburnt.search.LuceneQuery):
125 q = self.index.query(q)
126 q.field_limiter.update(['uid'])
130 ids = q.paginate(start=st, rows=rows).execute()
136 # print "Will delete %s" % ','.join([x for x in uids])
138 self.index.delete(uids)
143 def index_tags(self, *tags, **kw):
145 Re-index global tag list.
146 Removes all tags from index, then index them again.
147 Indexed fields include: id, name (with and without polish stems), category
149 remove_only = kw.get('remove_only', False)
150 # first, remove tags from index.
154 q_id = self.index.Q(tag_id=tag.id)
156 if isinstance(tag, PDCounterAuthor):
157 q_cat = self.index.Q(tag_category='pd_author')
158 elif isinstance(tag, PDCounterBook):
159 q_cat = self.index.Q(tag_category='pd_book')
161 q_cat = self.index.Q(tag_category=tag.category)
163 q_id_cat = self.index.Q(q_id & q_cat)
164 tag_qs.append(q_id_cat)
165 self.delete_query(tag_qs)
167 q = self.index.Q(tag_id__any=True)
171 # then add them [all or just one passed]
173 tags = chain(catalogue.models.Tag.objects.exclude(category='set'), \
174 PDCounterAuthor.objects.all(), \
175 PDCounterBook.objects.all())
178 if isinstance(tag, PDCounterAuthor):
180 "tag_id": int(tag.id),
181 "tag_name": tag.name,
182 "tag_name_pl": tag.name,
183 "tag_category": 'pd_author',
184 "is_pdcounter": True,
185 "uid": "tag%d_pd_a" % tag.id
187 elif isinstance(tag, PDCounterBook):
189 "tag_id": int(tag.id),
190 "tag_name": tag.title,
191 "tag_name_pl": tag.title,
192 "tag_category": 'pd_book',
193 "is_pdcounter": True,
194 "uid": "tag%d_pd_b" % tag.id
198 "tag_id": int(tag.id),
199 "tag_name": tag.name,
200 "tag_name_pl": tag.name,
201 "tag_category": tag.category,
202 "is_pdcounter": False,
203 "uid": "tag%d" % tag.id
207 def create_book_doc(self, book):
209 Create a lucene document referring book id.
212 'book_id': int(book.id),
214 if book.parent is not None:
215 doc["parent_id"] = int(book.parent.id)
218 def remove_book(self, book_or_id, remove_snippets=True):
219 """Removes a book from search index.
220 book - Book instance."""
221 if isinstance(book_or_id, catalogue.models.Book):
222 book_id = book_or_id.id
226 self.delete_query(self.index.Q(book_id=book_id))
229 snippets = Snippets(book_id)
232 def index_book(self, book, book_info=None, overwrite=True):
235 Creates a lucene document for extracted metadata
236 and calls self.index_content() to index the contents of the book.
239 # we don't remove snippets, since they might be still needed by
240 # threads using not reopened index
241 self.remove_book(book, remove_snippets=False)
243 book_doc = self.create_book_doc(book)
244 meta_fields = self.extract_metadata(book, book_info, dc_only=['source_name', 'authors', 'translators', 'title'])
245 # let's not index it - it's only used for extracting publish date
246 if 'source_name' in meta_fields:
247 del meta_fields['source_name']
249 for n, f in meta_fields.items():
252 book_doc['uid'] = "book%s" % book_doc['book_id']
253 self.index.add(book_doc)
256 'title': meta_fields['title'],
257 'authors': meta_fields['authors'],
258 'published_date': meta_fields['published_date']
261 if 'translators' in meta_fields:
262 book_fields['translators'] = meta_fields['translators']
264 self.index_content(book, book_fields=book_fields)
269 'dramat_wierszowany_l',
270 'dramat_wierszowany_lp',
271 'dramat_wspolczesny', 'liryka_l', 'liryka_lp',
275 ignore_content_tags = [
277 'zastepnik_tekstu', 'sekcja_asterysk', 'separator_linia', 'zastepnik_wersu',
279 'naglowek_aktu', 'naglowek_sceny', 'naglowek_czesc',
282 footnote_tags = ['pa', 'pt', 'pr', 'pe']
284 skip_header_tags = ['autor_utworu', 'nazwa_utworu', 'dzielo_nadrzedne', '{http://www.w3.org/1999/02/22-rdf-syntax-ns#}RDF']
286 published_date_re = re.compile("([0-9]+)[\]. ]*$")
288 def extract_metadata(self, book, book_info=None, dc_only=None):
290 Extract metadata from book and returns a map of fields keyed by fieldname
294 if book_info is None:
295 book_info = dcparser.parse(open(book.xml_file.path))
297 fields['slug'] = book.slug
298 fields['tags'] = [t.name for t in book.tags]
299 fields['is_book'] = True
302 for field in dcparser.BookInfo.FIELDS:
303 if dc_only and field.name not in dc_only:
305 if hasattr(book_info, field.name):
306 if not getattr(book_info, field.name):
308 # since no type information is available, we use validator
309 type_indicator = field.validator
310 if type_indicator == dcparser.as_unicode:
311 s = getattr(book_info, field.name)
314 fields[field.name] = s
315 elif type_indicator == dcparser.as_person:
316 p = getattr(book_info, field.name)
317 if isinstance(p, dcparser.Person):
320 persons = ', '.join(map(unicode, p))
321 fields[field.name] = persons
322 elif type_indicator == dcparser.as_date:
323 dt = getattr(book_info, field.name)
324 fields[field.name] = dt
328 if hasattr(book_info, 'source_name') and book_info.source_name:
329 match = self.published_date_re.search(book_info.source_name)
330 if match is not None:
331 pd = str(match.groups()[0])
333 fields["published_date"] = pd
337 # def add_gaps(self, fields, fieldname):
339 # Interposes a list of fields with gap-fields, which are indexed spaces and returns it.
340 # This allows for doing phrase queries which do not overlap the gaps (when slop is 0).
344 # yield Field(fieldname, ' ', Field.Store.NO, Field.Index.NOT_ANALYZED)
345 # return reduce(lambda a, b: a + b, zip(fields, gap()))[0:-1]
347 def get_master(self, root):
349 Returns the first master tag from an etree.
351 for master in root.iter():
352 if master.tag in self.master_tags:
355 def index_content(self, book, book_fields={}):
357 Walks the book XML and extract content from it.
358 Adds parts for each header tag and for each fragment.
360 wld = WLDocument.from_file(book.xml_file.path, parse_dublincore=False)
361 root = wld.edoc.getroot()
363 master = self.get_master(root)
367 def walker(node, ignore_tags=[]):
369 if node.tag not in ignore_tags:
370 yield node, None, None
371 if node.text is not None:
372 yield None, node.text, None
373 for child in list(node):
374 for b, t, e in walker(child):
376 yield None, None, node
378 if node.tail is not None:
379 yield None, node.tail, None
382 def fix_format(text):
383 # separator = [u" ", u"\t", u".", u";", u","]
384 if isinstance(text, list):
385 # need to join it first
386 text = filter(lambda s: s is not None, content)
387 text = u' '.join(text)
388 # for i in range(len(text)):
390 # if text[i][0] not in separator\
391 # and text[i - 1][-1] not in separator:
392 # text.insert(i, u" ")
394 return re.sub("(?m)/$", "", text)
396 def add_part(snippets, **fields):
397 doc = self.create_book_doc(book)
398 for n, v in book_fields.items():
401 doc['header_index'] = fields["header_index"]
402 doc['header_span'] = 'header_span' in fields and fields['header_span'] or 1
403 doc['header_type'] = fields['header_type']
405 doc['text'] = fields['text']
408 snip_pos = snippets.add(fields["text"])
410 doc['snippets_position'] = snip_pos[0]
411 doc['snippets_length'] = snip_pos[1]
412 if snippets.revision:
413 doc["snippets_revision"] = snippets.revision
415 if 'fragment_anchor' in fields:
416 doc["fragment_anchor"] = fields['fragment_anchor']
418 if 'themes' in fields:
419 doc['themes'] = fields['themes']
420 doc['uid'] = "part%s%s%s" % (doc['header_index'],
422 doc.get('fragment_anchor', ''))
426 if isinstance(s, unicode):
427 return s.encode('utf-8')
432 snippets = Snippets(book.id).open('w')
434 for header, position in zip(list(master), range(len(master))):
436 if header.tag in self.skip_header_tags:
438 if header.tag is etree.Comment:
445 def all_content(text):
446 for frag in fragments.values():
447 frag['text'].append(text)
449 handle_text = [all_content]
451 for start, text, end in walker(header, ignore_tags=self.ignore_content_tags):
453 if start is not None and start.tag in self.footnote_tags:
456 def collect_footnote(t):
459 handle_text.append(collect_footnote)
460 elif end is not None and footnote is not [] and end.tag in self.footnote_tags:
462 doc = add_part(snippets, header_index=position, header_type=header.tag,
463 text=u''.join(footnote),
466 #print "@ footnote text: %s" % footnote
469 # handle fragments and themes.
470 if start is not None and start.tag == 'begin':
471 fid = start.attrib['id'][1:]
472 fragments[fid] = {'text': [], 'themes': [], 'start_section': position, 'start_header': header.tag}
474 # themes for this fragment
475 elif start is not None and start.tag == 'motyw':
476 fid = start.attrib['id'][1:]
477 handle_text.append(None)
478 if start.text is not None:
479 fragments[fid]['themes'] += map(unicode.strip, map(unicode, (start.text.split(','))))
480 elif end is not None and end.tag == 'motyw':
483 elif start is not None and start.tag == 'end':
484 fid = start.attrib['id'][1:]
485 if fid not in fragments:
486 continue # a broken <end> node, skip it
487 frag = fragments[fid]
488 if frag['themes'] == []:
489 continue # empty themes list.
492 doc = add_part(snippets,
493 header_type=frag['start_header'],
494 header_index=frag['start_section'],
495 header_span=position - frag['start_section'] + 1,
497 text=fix_format(frag['text']),
498 themes=frag['themes'])
499 #print '@ FRAG %s' % frag['content']
504 if text is not None and handle_text is not []:
505 hdl = handle_text[-1]
509 # in the end, add a section text.
510 doc = add_part(snippets, header_index=position,
511 header_type=header.tag, text=fix_format(content))
512 #print '@ CONTENT: %s' % fix_format(content)
520 class SearchResult(object):
521 def __init__(self, doc, how_found=None, query=None, query_terms=None):
522 # self.search = search
525 self._processed_hits = None # processed hits
527 self.query_terms = query_terms
530 self._score = doc['score']
534 self.book_id = int(doc["book_id"])
537 self.published_date = int(doc.get("published_date"))
539 self.published_date = 0
542 header_type = doc.get("header_type", None)
543 # we have a content hit in some header of fragment
544 if header_type is not None:
545 sec = (header_type, int(doc["header_index"]))
546 header_span = doc['header_span']
547 header_span = header_span is not None and int(header_span) or 1
548 fragment = doc.get("fragment_anchor", None)
549 snippets_pos = (doc['snippets_position'], doc['snippets_length'])
550 snippets_rev = doc['snippets_revision']
552 hit = (sec + (header_span,), fragment, self._score, {
553 'how_found': how_found,
554 'snippets_pos': snippets_pos,
555 'snippets_revision': snippets_rev,
556 'themes': doc.get('themes', []),
557 'themes_pl': doc.get('themes_pl', [])
560 self._hits.append(hit)
562 def __unicode__(self):
563 return u"<SR id=%d %d(%d) hits score=%f %d snippets" % \
564 (self.book_id, len(self._hits), self._processed_hits and len(self._processed_hits) or -1, self._score, len(self.snippets))
567 return unicode(self).encode('utf-8')
571 return self._score * self.boost
573 def merge(self, other):
574 if self.book_id != other.book_id:
575 raise ValueError("this search result is or book %d; tried to merge with %d" % (self.book_id, other.book_id))
576 self._hits += other._hits
577 if other.score > self.score:
578 self._score = other._score
582 if hasattr(self, '_book'):
584 self._book = catalogue.models.Book.objects.get(id=self.book_id)
587 book = property(get_book)
598 if self._processed_hits is not None:
599 return self._processed_hits
601 # to sections and fragments
602 frags = filter(lambda r: r[self.FRAGMENT] is not None, self._hits)
604 sect = filter(lambda r: r[self.FRAGMENT] is None, self._hits)
606 # sections not covered by fragments
607 sect = filter(lambda s: 0 == len(filter(
608 lambda f: s[self.POSITION][self.POSITION_INDEX] >= f[self.POSITION][self.POSITION_INDEX]
609 and s[self.POSITION][self.POSITION_INDEX] < f[self.POSITION][self.POSITION_INDEX] + f[self.POSITION][self.POSITION_SPAN],
614 def remove_duplicates(lst, keyfn, compare):
619 if compare(els[eif], e) >= 1:
624 # remove fragments with duplicated fid's and duplicated snippets
625 frags = remove_duplicates(frags, lambda f: f[self.FRAGMENT], lambda a, b: cmp(a[self.SCORE], b[self.SCORE]))
626 # frags = remove_duplicates(frags, lambda f: f[OTHER]['snippet_pos'] and f[OTHER]['snippet_pos'] or f[FRAGMENT],
627 # lambda a, b: cmp(a[SCORE], b[SCORE]))
629 # remove duplicate sections
633 si = s[self.POSITION][self.POSITION_INDEX]
636 if sections[si]['score'] >= s[self.SCORE]:
639 m = {'score': s[self.SCORE],
640 'section_number': s[self.POSITION][self.POSITION_INDEX] + 1,
642 m.update(s[self.OTHER])
645 hits = sections.values()
649 frag = catalogue.models.Fragment.objects.get(anchor=f[self.FRAGMENT], book__id=self.book_id)
650 except catalogue.models.Fragment.DoesNotExist:
653 # Figure out if we were searching for a token matching some word in theme name.
654 themes = frag.tags.filter(category='theme')
656 if self.query_terms is not None:
657 for i in range(0, len(f[self.OTHER]['themes'])):
658 tms = f[self.OTHER]['themes'][i].split(r' +') + f[self.OTHER]['themes_pl'][i].split(' ')
659 tms = map(unicode.lower, tms)
660 for qt in self.query_terms:
662 themes_hit.add(f[self.OTHER]['themes'][i])
665 def theme_by_name(n):
666 th = filter(lambda t: t.name == n, themes)
671 themes_hit = filter(lambda a: a is not None, map(theme_by_name, themes_hit))
673 m = {'score': f[self.SCORE],
675 'section_number': f[self.POSITION][self.POSITION_INDEX] + 1,
677 'themes_hit': themes_hit
679 m.update(f[self.OTHER])
682 hits.sort(lambda a, b: cmp(a['score'], b['score']), reverse=True)
684 self._processed_hits = hits
689 def aggregate(*result_lists):
691 for rl in result_lists:
693 if r.book_id in books:
694 books[r.book_id].merge(r)
697 return books.values()
699 def __cmp__(self, other):
700 c = cmp(self.score, other.score)
702 # this is inverted, because earlier date is better
703 return cmp(other.published_date, self.published_date)
708 return len(self.hits)
710 def snippet_pos(self, idx=0):
711 return self.hits[idx]['snippets_pos']
713 def snippet_revision(self, idx=0):
715 return self.hits[idx]['snippets_revision']
720 class Search(SolrIndex):
724 def __init__(self, default_field="text"):
725 super(Search, self).__init__(mode='r')
727 # def get_tokens(self, searched, field='text', cached=None):
728 # """returns tokens analyzed by a proper (for a field) analyzer
729 # argument can be: StringReader, string/unicode, or tokens. In the last case
730 # they will just be returned (so we can reuse tokens, if we don't change the analyzer)
732 # if cached is not None and field in cached:
733 # return cached[field]
735 # if isinstance(searched, str) or isinstance(searched, unicode):
736 # searched = StringReader(searched)
737 # elif isinstance(searched, list):
741 # tokens = self.analyzer.reusableTokenStream(field, searched)
743 # while tokens.incrementToken():
744 # cta = tokens.getAttribute(CharTermAttribute.class_)
745 # toks.append(cta.toString())
747 # if cached is not None:
748 # cached[field] = toks
753 # def fuzziness(fuzzy):
754 # """Helper method to sanitize fuzziness"""
757 # if isinstance(fuzzy, float) and fuzzy > 0.0 and fuzzy <= 1.0:
762 # def make_phrase(self, tokens, field='text', slop=2, fuzzy=False):
764 # Return a PhraseQuery with a series of tokens.
767 # phrase = MultiPhraseQuery()
769 # term = Term(field, t)
770 # fuzzterm = FuzzyTermEnum(self.searcher.getIndexReader(), term, self.fuzziness(fuzzy))
774 # ft = fuzzterm.term()
776 # fuzzterms.append(ft)
777 # if not fuzzterm.next(): break
779 # phrase.add(JArray('object')(fuzzterms, Term))
783 # phrase = PhraseQuery()
784 # phrase.setSlop(slop)
786 # term = Term(field, t)
790 def make_term_query(self, query, field='text', modal=operator.or_):
792 Returns term queries joined by boolean query.
793 modal - applies to boolean query
794 fuzzy - should the query by fuzzy.
796 if query is None: query = ''
798 q = reduce(modal, map(lambda s: self.index.Q(**{field: s}),
799 query.split(r" ")), q)
803 def search_phrase(self, searched, field='text', book=False,
806 if filters is None: filters = []
807 if book: filters.append(self.index.Q(is_book=True))
809 q = self.index.query(**{field: searched})
810 q = self.apply_filters(q, filters).field_limit(score=True, all_fields=True)
812 return [SearchResult(found, how_found=u'search_phrase') for found in res]
814 def search_some(self, searched, fields, book=True,
815 filters=None, snippets=True, query_terms=None):
816 assert isinstance(fields, list)
817 if filters is None: filters = []
818 if book: filters.append(self.index.Q(is_book=True))
820 query = self.index.Q()
823 query = self.index.Q(query | self.make_term_query(searched, fld))
825 query = self.index.query(query)
826 query = self.apply_filters(query, filters).field_limit(score=True, all_fields=True)
827 res = query.execute()
828 return [SearchResult(found, how_found='search_some', query_terms=query_terms) for found in res]
830 # def search_perfect_book(self, searched, max_results=20, fuzzy=False, hint=None):
832 # Search for perfect book matches. Just see if the query matches with some author or title,
833 # taking hints into account.
835 # fields_to_search = ['authors', 'title']
838 # if not hint.should_search_for_book():
840 # fields_to_search = hint.just_search_in(fields_to_search)
841 # only_in = hint.book_filter()
843 # qrys = [self.make_phrase(self.get_tokens(searched, field=fld), field=fld, fuzzy=fuzzy) for fld in fields_to_search]
847 # top = self.searcher.search(q,
848 # self.chain_filters([only_in, self.term_filter(Term('is_book', 'true'))]),
850 # for found in top.scoreDocs:
851 # books.append(SearchResult(self, found, how_found="search_perfect_book"))
854 # def search_book(self, searched, max_results=20, fuzzy=False, hint=None):
855 # fields_to_search = ['tags', 'authors', 'title']
859 # if not hint.should_search_for_book():
861 # fields_to_search = hint.just_search_in(fields_to_search)
862 # only_in = hint.book_filter()
864 # tokens = self.get_tokens(searched, field='SIMPLE')
868 # for fld in fields_to_search:
869 # q.add(BooleanClause(self.make_term_query(tokens, field=fld,
870 # fuzzy=fuzzy), BooleanClause.Occur.SHOULD))
873 # top = self.searcher.search(q,
874 # self.chain_filters([only_in, self.term_filter(Term('is_book', 'true'))]),
876 # for found in top.scoreDocs:
877 # books.append(SearchResult(self, found, how_found="search_book"))
881 # def search_perfect_parts(self, searched, max_results=20, fuzzy=False, hint=None):
883 # Search for book parts which contains a phrase perfectly matching (with a slop of 2, default for make_phrase())
884 # some part/fragment of the book.
886 # qrys = [self.make_phrase(self.get_tokens(searched), field=fld, fuzzy=fuzzy) for fld in ['text']]
890 # flt = hint.part_filter()
894 # top = self.searcher.search(q,
895 # self.chain_filters([self.term_filter(Term('is_book', 'true'), inverse=True),
898 # for found in top.scoreDocs:
899 # books.append(SearchResult(self, found, snippets=self.get_snippets(found, q), how_found='search_perfect_parts'))
903 def search_everywhere(self, searched, query_terms=None):
905 Tries to use search terms to match different fields of book (or its parts).
906 E.g. one word can be an author survey, another be a part of the title, and the rest
907 are some words from third chapter.
910 # content only query : themes x content
911 q = self.make_term_query(searched, 'text')
912 q_themes = self.make_term_query(searched, 'themes_pl')
914 query = self.index.query(q).query(q_themes).field_limit(score=True, all_fields=True)
915 res = query.execute()
918 books.append(SearchResult(found, how_found='search_everywhere_themesXcontent', query_terms=query_terms))
920 # query themes/content x author/title/tags
921 in_content = self.index.Q()
922 in_meta = self.index.Q()
924 for fld in ['themes_pl', 'text']:
925 in_content |= self.make_term_query(searched, field=fld)
927 for fld in ['tags', 'authors', 'title']:
928 in_meta |= self.make_term_query(searched, field=fld)
930 q = in_content & in_meta
931 res = self.index.query(q).field_limit(score=True, all_fields=True).execute()
934 books.append(SearchResult(found, how_found='search_everywhere', query_terms=query_terms))
938 def get_snippets(self, searchresult, query, field='text', num=1):
940 Returns a snippet for found scoreDoc.
942 maxnum = len(searchresult)
943 if num is None or num < 0 or num > maxnum:
945 book_id = searchresult.book_id
946 revision = searchresult.snippet_revision()
947 snippets = Snippets(book_id, revision=revision)
948 snips = [None] * maxnum
952 while idx < maxnum and num > 0:
953 position, length = searchresult.snippet_pos(idx)
954 if position is None or length is None:
956 text = snippets.get((int(position),
958 snip = self.index.highlight(text=text, field=field, q=query)
965 log.error("Cannot open snippet file for book id = %d [rev=%d], %s" % (book_id, revision, e))
970 # remove verse end markers..
971 snips = map(lambda s: s and s.replace("/\n", "\n"), snips)
973 searchresult.snippets = snips
977 def hint_tags(self, query, pdcounter=True, prefix=True):
979 Return auto-complete hints for tags
983 query = query.strip()
984 for field in ['tag_name', 'tag_name_pl']:
986 q |= self.index.Q(**{field: query + "*"})
988 q |= self.make_term_query(query, field=field)
989 qu = self.index.query(q).exclude(tag_category="book")
991 return self.search_tags(qu, pdcounter=pdcounter)
993 def search_tags(self, query, filters=None, pdcounter=False):
995 Search for Tag objects using query.
997 if not filters: filters = []
999 filters.append(~self.index.Q(is_pdcounter=True))
1000 res = self.apply_filters(query, filters).execute()
1004 is_pdcounter = doc.get('is_pdcounter', False)
1005 category = doc.get('tag_category')
1007 if is_pdcounter == True:
1008 if category == 'pd_author':
1009 tag = PDCounterAuthor.objects.get(id=doc.get('tag_id'))
1010 elif category == 'pd_book':
1011 tag = PDCounterBook.objects.get(id=doc.get('tag_id'))
1012 tag.category = 'pd_book' # make it look more lik a tag.
1014 print "Warning. cannot get pdcounter tag_id=%d from db; cat=%s" % (int(doc.get('tag_id')), category)
1016 tag = catalogue.models.Tag.objects.get(id=doc.get("tag_id"))
1017 # don't add the pdcounter tag if same tag already exists
1021 except catalogue.models.Tag.DoesNotExist: pass
1022 except PDCounterAuthor.DoesNotExist: pass
1023 except PDCounterBook.DoesNotExist: pass
1025 log.debug('search_tags: %s' % tags)
1029 def hint_books(self, query, prefix=True):
1031 Returns auto-complete hints for book titles
1032 Because we do not index 'pseudo' title-tags.
1036 query = query.strip()
1038 q |= self.index.Q(title=query + "*")
1040 q |= self.make_term_query(query, field='title')
1041 qu = self.index.query(q)
1042 only_books = self.index.Q(is_book=True)
1043 return self.search_books(qu, [only_books])
1045 def search_books(self, query, filters=None, max_results=10):
1047 Searches for Book objects using query
1050 res = self.apply_filters(query, filters).field_limit(['book_id'])
1053 bks.append(catalogue.models.Book.objects.get(id=r['book_id']))
1054 except catalogue.models.Book.DoesNotExist: pass
1057 # def make_prefix_phrase(self, toks, field):
1058 # q = MultiPhraseQuery()
1059 # for i in range(len(toks)):
1060 # t = Term(field, toks[i])
1061 # if i == len(toks) - 1:
1062 # pterms = Search.enum_to_array(PrefixTermEnum(self.searcher.getIndexReader(), t))
1072 # def term_filter(term, inverse=False):
1073 # only_term = TermsFilter()
1074 # only_term.addTerm(term)
1077 # neg = BooleanFilter()
1078 # neg.add(FilterClause(only_term, BooleanClause.Occur.MUST_NOT))
1086 def apply_filters(query, filters):
1088 Apply filters to a query
1090 if filters is None: filters = []
1091 filters = filter(lambda x: x is not None, filters)
1093 query = query.query(f)
1096 # def filtered_categories(self, tags):
1098 # Return a list of tag categories, present in tags list.
1102 # cats[t.category] = True
1103 # return cats.keys()