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')
22 class SolrIndex(object):
23 def __init__(self, mode=None):
24 self.index = custom.CustomSolrInterface(settings.SOLR, mode=mode)
27 class Snippets(object):
29 This class manages snippet files for indexed object (book)
30 the snippets are concatenated together, and their positions and
31 lengths are kept in lucene index fields.
33 SNIPPET_DIR = "snippets"
35 def __init__(self, book_id, revision=None):
37 os.makedirs(os.path.join(settings.SEARCH_INDEX, self.SNIPPET_DIR))
38 except OSError as exc:
39 if exc.errno == errno.EEXIST:
42 self.book_id = book_id
43 self.revision = revision
48 if self.revision: fn = "%d.%d" % (self.book_id, self.revision)
49 else: fn = "%d" % self.book_id
51 return os.path.join(settings.SEARCH_INDEX, self.SNIPPET_DIR, fn)
53 def open(self, mode='r'):
55 Open the snippet file. Call .close() afterwards.
61 if os.path.exists(self.path):
64 if not os.path.exists(self.path):
68 self.file = open(self.path, mode)
72 def add(self, snippet):
74 Append a snippet (unicode) to the snippet file.
75 Return a (position, length) tuple
77 txt = snippet.encode('utf-8')
80 pos = (self.position, l)
86 Given a tuple of (position, length) return an unicode
87 of the snippet stored there.
89 self.file.seek(pos[0], 0)
90 txt = self.file.read(pos[1]).decode('utf-8')
94 """Close snippet file"""
109 class Index(SolrIndex):
111 Class indexing books.
114 super(Index, self).__init__(mode='rw')
116 def delete_query(self, *queries):
118 index.delete(queries=...) doesn't work, so let's reimplement it
119 using deletion of list of uids.
123 if isinstance(q, sunburnt.search.LuceneQuery):
124 q = self.index.query(q)
125 q.field_limiter.update(['uid'])
129 ids = q.paginate(start=st, rows=rows).execute()
135 # print "Will delete %s" % ','.join([x for x in uids])
137 self.index.delete(uids)
142 def index_tags(self, *tags, **kw):
144 Re-index global tag list.
145 Removes all tags from index, then index them again.
146 Indexed fields include: id, name (with and without polish stems), category
148 remove_only = kw.get('remove_only', False)
149 # first, remove tags from index.
153 q_id = self.index.Q(tag_id=tag.id)
155 if isinstance(tag, PDCounterAuthor):
156 q_cat = self.index.Q(tag_category='pd_author')
157 elif isinstance(tag, PDCounterBook):
158 q_cat = self.index.Q(tag_category='pd_book')
160 q_cat = self.index.Q(tag_category=tag.category)
162 q_id_cat = self.index.Q(q_id & q_cat)
163 tag_qs.append(q_id_cat)
164 self.delete_query(tag_qs)
166 q = self.index.Q(tag_id__any=True)
170 # then add them [all or just one passed]
172 tags = chain(catalogue.models.Tag.objects.exclude(category='set'), \
173 PDCounterAuthor.objects.all(), \
174 PDCounterBook.objects.all())
177 if isinstance(tag, PDCounterAuthor):
179 "tag_id": int(tag.id),
180 "tag_name": tag.name,
181 "tag_name_pl": tag.name,
182 "tag_category": 'pd_author',
183 "is_pdcounter": True,
184 "uid": "tag%d_pd_a" % tag.id
186 elif isinstance(tag, PDCounterBook):
188 "tag_id": int(tag.id),
189 "tag_name": tag.title,
190 "tag_name_pl": tag.title,
191 "tag_category": 'pd_book',
192 "is_pdcounter": True,
193 "uid": "tag%d_pd_b" % tag.id
197 "tag_id": int(tag.id),
198 "tag_name": tag.name,
199 "tag_name_pl": tag.name,
200 "tag_category": tag.category,
201 "is_pdcounter": False,
202 "uid": "tag%d" % tag.id
204 print "ADD 1 %s" % doc
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', '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 print "ADD 2 %s" % book_doc
254 self.index.add(book_doc)
257 'title': meta_fields['title'],
258 'authors': meta_fields['authors'],
259 '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),
465 print "ADD 3 %s" % doc
467 #print "@ footnote text: %s" % footnote
470 # handle fragments and themes.
471 if start is not None and start.tag == 'begin':
472 fid = start.attrib['id'][1:]
473 fragments[fid] = {'text': [], 'themes': [], 'start_section': position, 'start_header': header.tag}
475 # themes for this fragment
476 elif start is not None and start.tag == 'motyw':
477 fid = start.attrib['id'][1:]
478 handle_text.append(None)
479 if start.text is not None:
480 fragments[fid]['themes'] += map(unicode.strip, map(unicode, (start.text.split(','))))
481 elif end is not None and end.tag == 'motyw':
484 elif start is not None and start.tag == 'end':
485 fid = start.attrib['id'][1:]
486 if fid not in fragments:
487 continue # a broken <end> node, skip it
488 frag = fragments[fid]
489 if frag['themes'] == []:
490 continue # empty themes list.
493 doc = add_part(snippets,
494 header_type=frag['start_header'],
495 header_index=frag['start_section'],
496 header_span=position - frag['start_section'] + 1,
498 text=fix_format(frag['text']),
499 themes=frag['themes'])
500 #print '@ FRAG %s' % frag['content']
501 print "ADD 4 %s" % doc
506 if text is not None and handle_text is not []:
507 hdl = handle_text[-1]
511 # in the end, add a section text.
512 doc = add_part(snippets, header_index=position,
513 header_type=header.tag, text=fix_format(content))
514 #print '@ CONTENT: %s' % fix_format(content)
516 print "ADD 5 %s" % doc
523 class SearchResult(object):
524 def __init__(self, doc, how_found=None, query=None, query_terms=None):
525 # self.search = search
528 self._processed_hits = None # processed hits
530 self.query_terms = query_terms
533 self._score = doc['score']
537 self.book_id = int(doc["book_id"])
540 self.published_date = int(doc.get("published_date"))
542 self.published_date = 0
545 header_type = doc.get("header_type", None)
546 # we have a content hit in some header of fragment
547 if header_type is not None:
548 sec = (header_type, int(doc["header_index"]))
549 header_span = doc['header_span']
550 header_span = header_span is not None and int(header_span) or 1
551 fragment = doc.get("fragment_anchor", None)
552 snippets_pos = (doc['snippets_position'], doc['snippets_length'])
553 snippets_rev = doc['snippets_revision']
555 hit = (sec + (header_span,), fragment, self._score, {
556 'how_found': how_found,
557 'snippets_pos': snippets_pos,
558 'snippets_revision': snippets_rev,
559 'themes': doc.get('themes', []),
560 'themes_pl': doc.get('themes_pl', [])
563 self._hits.append(hit)
565 def __unicode__(self):
566 return u"<SR id=%d %d(%d) hits score=%f %d snippets" % \
567 (self.book_id, len(self._hits), self._processed_hits and len(self._processed_hits) or -1, self._score, len(self.snippets))
570 return unicode(self).encode('utf-8')
574 return self._score * self.boost
576 def merge(self, other):
577 if self.book_id != other.book_id:
578 raise ValueError("this search result is or book %d; tried to merge with %d" % (self.book_id, other.book_id))
579 self._hits += other._hits
580 if other.score > self.score:
581 self._score = other._score
585 if hasattr(self, '_book'):
587 self._book = catalogue.models.Book.objects.get(id=self.book_id)
590 book = property(get_book)
601 if self._processed_hits is not None:
602 return self._processed_hits
604 # to sections and fragments
605 frags = filter(lambda r: r[self.FRAGMENT] is not None, self._hits)
607 sect = filter(lambda r: r[self.FRAGMENT] is None, self._hits)
609 # sections not covered by fragments
610 sect = filter(lambda s: 0 == len(filter(
611 lambda f: s[self.POSITION][self.POSITION_INDEX] >= f[self.POSITION][self.POSITION_INDEX]
612 and s[self.POSITION][self.POSITION_INDEX] < f[self.POSITION][self.POSITION_INDEX] + f[self.POSITION][self.POSITION_SPAN],
617 def remove_duplicates(lst, keyfn, compare):
622 if compare(els[eif], e) >= 1:
627 # remove fragments with duplicated fid's and duplicated snippets
628 frags = remove_duplicates(frags, lambda f: f[self.FRAGMENT], lambda a, b: cmp(a[self.SCORE], b[self.SCORE]))
629 # frags = remove_duplicates(frags, lambda f: f[OTHER]['snippet_pos'] and f[OTHER]['snippet_pos'] or f[FRAGMENT],
630 # lambda a, b: cmp(a[SCORE], b[SCORE]))
632 # remove duplicate sections
636 si = s[self.POSITION][self.POSITION_INDEX]
639 if sections[si]['score'] >= s[self.SCORE]:
642 m = {'score': s[self.SCORE],
643 'section_number': s[self.POSITION][self.POSITION_INDEX] + 1,
645 m.update(s[self.OTHER])
648 hits = sections.values()
652 frag = catalogue.models.Fragment.objects.get(anchor=f[self.FRAGMENT], book__id=self.book_id)
653 except catalogue.models.Fragment.DoesNotExist:
657 # Figure out if we were searching for a token matching some word in theme name.
658 themes = frag.tags.filter(category='theme')
660 if self.query_terms is not None:
661 for i in range(0, len(f[self.OTHER]['themes'])):
662 tms = f[self.OTHER]['themes'][i].split(r' +') + f[self.OTHER]['themes_pl'][i].split(' ')
663 tms = map(unicode.lower, tms)
664 for qt in self.query_terms:
666 themes_hit.add(f[self.OTHER]['themes'][i])
669 def theme_by_name(n):
670 th = filter(lambda t: t.name == n, themes)
675 themes_hit = filter(lambda a: a is not None, map(theme_by_name, themes_hit))
677 m = {'score': f[self.SCORE],
679 'section_number': f[self.POSITION][self.POSITION_INDEX] + 1,
681 'themes_hit': themes_hit
683 m.update(f[self.OTHER])
686 hits.sort(lambda a, b: cmp(a['score'], b['score']), reverse=True)
688 self._processed_hits = hits
693 def aggregate(*result_lists):
695 for rl in result_lists:
697 if r.book_id in books:
698 books[r.book_id].merge(r)
701 return books.values()
703 def __cmp__(self, other):
704 c = cmp(self.score, other.score)
706 # this is inverted, because earlier date is better
707 return cmp(other.published_date, self.published_date)
712 return len(self.hits)
714 def snippet_pos(self, idx=0):
715 return self.hits[idx]['snippets_pos']
717 def snippet_revision(self, idx=0):
719 return self.hits[idx]['snippets_revision']
724 class Search(SolrIndex):
728 def __init__(self, default_field="text"):
729 super(Search, self).__init__(mode='r')
731 # def get_tokens(self, searched, field='text', cached=None):
732 # """returns tokens analyzed by a proper (for a field) analyzer
733 # argument can be: StringReader, string/unicode, or tokens. In the last case
734 # they will just be returned (so we can reuse tokens, if we don't change the analyzer)
736 # if cached is not None and field in cached:
737 # return cached[field]
739 # if isinstance(searched, str) or isinstance(searched, unicode):
740 # searched = StringReader(searched)
741 # elif isinstance(searched, list):
745 # tokens = self.analyzer.reusableTokenStream(field, searched)
747 # while tokens.incrementToken():
748 # cta = tokens.getAttribute(CharTermAttribute.class_)
749 # toks.append(cta.toString())
751 # if cached is not None:
752 # cached[field] = toks
757 # def fuzziness(fuzzy):
758 # """Helper method to sanitize fuzziness"""
761 # if isinstance(fuzzy, float) and fuzzy > 0.0 and fuzzy <= 1.0:
766 # def make_phrase(self, tokens, field='text', slop=2, fuzzy=False):
768 # Return a PhraseQuery with a series of tokens.
771 # phrase = MultiPhraseQuery()
773 # term = Term(field, t)
774 # fuzzterm = FuzzyTermEnum(self.searcher.getIndexReader(), term, self.fuzziness(fuzzy))
778 # ft = fuzzterm.term()
780 # fuzzterms.append(ft)
781 # if not fuzzterm.next(): break
783 # phrase.add(JArray('object')(fuzzterms, Term))
787 # phrase = PhraseQuery()
788 # phrase.setSlop(slop)
790 # term = Term(field, t)
794 def make_term_query(self, query, field='text', modal=operator.or_):
796 Returns term queries joined by boolean query.
797 modal - applies to boolean query
798 fuzzy - should the query by fuzzy.
801 q = reduce(modal, map(lambda s: self.index.Q(**{field: s}),
802 query.split(r" ")), q)
806 def search_phrase(self, searched, field='text', book=False,
809 if filters is None: filters = []
810 if book: filters.append(self.index.Q(is_book=True))
812 q = self.index.query(**{field: searched})
813 q = self.apply_filters(q, filters).field_limit(score=True, all_fields=True)
815 return [SearchResult(found, how_found=u'search_phrase') for found in res]
817 def search_some(self, searched, fields, book=True,
818 filters=None, snippets=True, query_terms=None):
819 assert isinstance(fields, list)
820 if filters is None: filters = []
821 if book: filters.append(self.index.Q(is_book=True))
823 query = self.index.Q()
826 query = self.index.Q(query | self.make_term_query(searched, fld))
828 query = self.index.query(query)
829 query = self.apply_filters(query, filters).field_limit(score=True, all_fields=True)
830 res = query.execute()
831 return [SearchResult(found, how_found='search_some', query_terms=query_terms) for found in res]
833 # def search_perfect_book(self, searched, max_results=20, fuzzy=False, hint=None):
835 # Search for perfect book matches. Just see if the query matches with some author or title,
836 # taking hints into account.
838 # fields_to_search = ['authors', 'title']
841 # if not hint.should_search_for_book():
843 # fields_to_search = hint.just_search_in(fields_to_search)
844 # only_in = hint.book_filter()
846 # qrys = [self.make_phrase(self.get_tokens(searched, field=fld), field=fld, fuzzy=fuzzy) for fld in fields_to_search]
850 # top = self.searcher.search(q,
851 # self.chain_filters([only_in, self.term_filter(Term('is_book', 'true'))]),
853 # for found in top.scoreDocs:
854 # books.append(SearchResult(self, found, how_found="search_perfect_book"))
857 # def search_book(self, searched, max_results=20, fuzzy=False, hint=None):
858 # fields_to_search = ['tags', 'authors', 'title']
862 # if not hint.should_search_for_book():
864 # fields_to_search = hint.just_search_in(fields_to_search)
865 # only_in = hint.book_filter()
867 # tokens = self.get_tokens(searched, field='SIMPLE')
871 # for fld in fields_to_search:
872 # q.add(BooleanClause(self.make_term_query(tokens, field=fld,
873 # fuzzy=fuzzy), BooleanClause.Occur.SHOULD))
876 # top = self.searcher.search(q,
877 # self.chain_filters([only_in, self.term_filter(Term('is_book', 'true'))]),
879 # for found in top.scoreDocs:
880 # books.append(SearchResult(self, found, how_found="search_book"))
884 # def search_perfect_parts(self, searched, max_results=20, fuzzy=False, hint=None):
886 # Search for book parts which contains a phrase perfectly matching (with a slop of 2, default for make_phrase())
887 # some part/fragment of the book.
889 # qrys = [self.make_phrase(self.get_tokens(searched), field=fld, fuzzy=fuzzy) for fld in ['text']]
893 # flt = hint.part_filter()
897 # top = self.searcher.search(q,
898 # self.chain_filters([self.term_filter(Term('is_book', 'true'), inverse=True),
901 # for found in top.scoreDocs:
902 # books.append(SearchResult(self, found, snippets=self.get_snippets(found, q), how_found='search_perfect_parts'))
906 def search_everywhere(self, searched, query_terms=None):
908 Tries to use search terms to match different fields of book (or its parts).
909 E.g. one word can be an author survey, another be a part of the title, and the rest
910 are some words from third chapter.
913 # content only query : themes x content
914 q = self.make_term_query(searched, 'text')
915 q_themes = self.make_term_query(searched, 'themes_pl')
917 query = self.index.query(q).query(q_themes).field_limit(score=True, all_fields=True)
918 res = query.execute()
921 books.append(SearchResult(found, how_found='search_everywhere_themesXcontent', query_terms=query_terms))
923 # query themes/content x author/title/tags
924 in_content = self.index.Q()
925 in_meta = self.index.Q()
927 for fld in ['themes_pl', 'text']:
928 in_content |= self.make_term_query(searched, field=fld)
930 for fld in ['tags', 'authors', 'title']:
931 in_meta |= self.make_term_query(searched, field=fld)
933 q = in_content & in_meta
934 res = self.index.query(q).field_limit(score=True, all_fields=True).execute()
937 books.append(SearchResult(found, how_found='search_everywhere', query_terms=query_terms))
941 def get_snippets(self, searchresult, query, field='text', num=1):
943 Returns a snippet for found scoreDoc.
945 maxnum = len(searchresult)
946 if num is None or num < 0 or num > maxnum:
948 book_id = searchresult.book_id
949 revision = searchresult.snippet_revision()
950 snippets = Snippets(book_id, revision=revision)
951 snips = [None] * maxnum
955 while idx < maxnum and num > 0:
956 position, length = searchresult.snippet_pos(idx)
957 if position is None or length is None:
959 text = snippets.get((int(position),
961 print "== %s -- %s ==" % (query, text)
962 snip = self.index.highlight(text=text, field=field, q=query)
969 log.error("Cannot open snippet file for book id = %d [rev=%d], %s" % (book_id, revision, e))
974 # remove verse end markers..
975 snips = map(lambda s: s and s.replace("/\n", "\n"), snips)
977 searchresult.snippets = snips
980 def hint_tags(self, query, pdcounter=True, prefix=True):
982 Return auto-complete hints for tags
986 query = query.strip()
987 for field in ['tag_name', 'tag_name_pl']:
989 q |= self.index.Q(**{field: query + "*"})
991 q |= self.make_term_query(query, field=field)
992 qu = self.index.query(q).exclude(tag_category="book")
994 return self.search_tags(qu, pdcounter=pdcounter)
996 def search_tags(self, query, filters=None, pdcounter=False):
998 Search for Tag objects using query.
1000 if not filters: filters = []
1002 filters.append(~self.index.Q(is_pdcounter=True))
1003 res = self.apply_filters(query, filters).execute()
1007 is_pdcounter = doc.get('is_pdcounter', False)
1008 category = doc.get('tag_category')
1010 if is_pdcounter == True:
1011 if category == 'pd_author':
1012 tag = PDCounterAuthor.objects.get(id=doc.get('tag_id'))
1013 elif category == 'pd_book':
1014 tag = PDCounterBook.objects.get(id=doc.get('tag_id'))
1015 tag.category = 'pd_book' # make it look more lik a tag.
1017 print "Warning. cannot get pdcounter tag_id=%d from db; cat=%s" % (int(doc.get('tag_id')), category)
1019 tag = catalogue.models.Tag.objects.get(id=doc.get("tag_id"))
1020 # don't add the pdcounter tag if same tag already exists
1024 except catalogue.models.Tag.DoesNotExist: pass
1025 except PDCounterAuthor.DoesNotExist: pass
1026 except PDCounterBook.DoesNotExist: pass
1028 log.debug('search_tags: %s' % tags)
1032 def hint_books(self, query, prefix=True):
1034 Returns auto-complete hints for book titles
1035 Because we do not index 'pseudo' title-tags.
1039 query = query.strip()
1041 q |= self.index.Q(title=query + "*")
1043 q |= self.make_term_query(query, field='title')
1044 qu = self.index.query(q)
1045 only_books = self.index.Q(is_book=True)
1046 return self.search_books(qu, [only_books])
1048 def search_books(self, query, filters=None, max_results=10):
1050 Searches for Book objects using query
1053 res = self.apply_filters(query, filters).field_limit(['book_id'])
1056 bks.append(catalogue.models.Book.objects.get(id=r['book_id']))
1057 except catalogue.models.Book.DoesNotExist: pass
1060 # def make_prefix_phrase(self, toks, field):
1061 # q = MultiPhraseQuery()
1062 # for i in range(len(toks)):
1063 # t = Term(field, toks[i])
1064 # if i == len(toks) - 1:
1065 # pterms = Search.enum_to_array(PrefixTermEnum(self.searcher.getIndexReader(), t))
1075 # def term_filter(term, inverse=False):
1076 # only_term = TermsFilter()
1077 # only_term.addTerm(term)
1080 # neg = BooleanFilter()
1081 # neg.add(FilterClause(only_term, BooleanClause.Occur.MUST_NOT))
1089 def apply_filters(query, filters):
1091 Apply filters to a query
1093 if filters is None: filters = []
1094 filters = filter(lambda x: x is not None, filters)
1096 query = query.query(f)
1099 # def filtered_categories(self, tags):
1101 # Return a list of tag categories, present in tags list.
1105 # cats[t.category] = True
1106 # return cats.keys()