1 # -*- coding: utf-8 -*-
3 from django.conf import settings
4 from lucene import SimpleFSDirectory, IndexWriter, CheckIndex, \
5 File, Field, Integer, \
6 NumericField, Version, Document, JavaError, IndexSearcher, \
7 QueryParser, PerFieldAnalyzerWrapper, \
8 SimpleAnalyzer, PolishAnalyzer, ArrayList, \
9 KeywordAnalyzer, NumericRangeQuery, NumericRangeFilter, BooleanQuery, \
10 BlockJoinQuery, BlockJoinCollector, Filter, TermsFilter, ChainedFilter, \
11 HashSet, BooleanClause, Term, CharTermAttribute, \
12 PhraseQuery, MultiPhraseQuery, StringReader, TermQuery, \
13 FuzzyQuery, FuzzyTermEnum, PrefixTermEnum, Sort, Integer, \
14 SimpleHTMLFormatter, Highlighter, QueryScorer, TokenSources, TextFragment, \
15 BooleanFilter, TermsFilter, FilterClause, QueryWrapperFilter, \
16 initVM, CLASSPATH, JArray, JavaError
20 JVM = initVM(CLASSPATH)
26 from librarian import dcparser
27 from librarian.parser import WLDocument
28 from lxml import etree
29 import catalogue.models
30 from multiprocessing.pool import ThreadPool
31 from threading import current_thread
36 class WLAnalyzer(PerFieldAnalyzerWrapper):
38 polish = PolishAnalyzer(Version.LUCENE_34)
39 # polish_gap.setPositionIncrementGap(999)
41 simple = SimpleAnalyzer(Version.LUCENE_34)
42 # simple_gap.setPositionIncrementGap(999)
44 keyword = KeywordAnalyzer(Version.LUCENE_34)
46 # not sure if needed: there's NOT_ANALYZED meaning basically the same
48 PerFieldAnalyzerWrapper.__init__(self, polish)
50 self.addAnalyzer("tags", simple)
51 self.addAnalyzer("technical_editors", simple)
52 self.addAnalyzer("editors", simple)
53 self.addAnalyzer("url", keyword)
54 self.addAnalyzer("source_url", keyword)
55 self.addAnalyzer("source_name", simple)
56 self.addAnalyzer("publisher", simple)
57 self.addAnalyzer("authors", simple)
58 self.addAnalyzer("title", simple)
60 self.addAnalyzer("is_book", keyword)
61 # shouldn't the title have two forms? _pl and simple?
63 self.addAnalyzer("themes", simple)
64 self.addAnalyzer("themes_pl", polish)
66 self.addAnalyzer("tag_name", simple)
67 self.addAnalyzer("tag_name_pl", polish)
69 self.addAnalyzer("translators", simple)
71 self.addAnalyzer("KEYWORD", keyword)
72 self.addAnalyzer("SIMPLE", simple)
73 self.addAnalyzer("POLISH", polish)
76 class IndexStore(object):
78 Provides access to search index.
80 self.store - lucene index directory
84 self.store = SimpleFSDirectory(File(settings.SEARCH_INDEX))
86 def make_index_dir(self):
88 os.makedirs(settings.SEARCH_INDEX)
89 except OSError as exc:
90 if exc.errno == errno.EEXIST:
95 class IndexChecker(IndexStore):
97 IndexStore.__init__(self)
100 checker = CheckIndex(self.store)
101 status = checker.checkIndex()
105 class Snippets(object):
107 This class manages snippet files for indexed object (book)
108 the snippets are concatenated together, and their positions and
109 lengths are kept in lucene index fields.
111 SNIPPET_DIR = "snippets"
113 def __init__(self, book_id):
115 os.makedirs(os.path.join(settings.SEARCH_INDEX, self.SNIPPET_DIR))
116 except OSError as exc:
117 if exc.errno == errno.EEXIST:
120 self.book_id = book_id
123 def open(self, mode='r'):
125 Open the snippet file. Call .close() afterwards.
129 self.file = open(os.path.join(settings.SEARCH_INDEX, self.SNIPPET_DIR, str(self.book_id)), mode)
133 def add(self, snippet):
135 Append a snippet (unicode) to the snippet file.
136 Return a (position, length) tuple
138 txt = snippet.encode('utf-8')
141 pos = (self.position, l)
147 Given a tuple of (position, length) return an unicode
148 of the snippet stored there.
150 self.file.seek(pos[0], 0)
151 txt = self.file.read(pos[1]).decode('utf-8')
155 """Close snippet file"""
159 class BaseIndex(IndexStore):
162 Provides basic operations on index: opening, closing, optimizing.
164 def __init__(self, analyzer=None):
165 super(BaseIndex, self).__init__()
168 analyzer = WLAnalyzer()
169 self.analyzer = analyzer
171 def open(self, analyzer=None):
173 raise Exception("Index is already opened")
174 self.index = IndexWriter(self.store, self.analyzer,\
175 IndexWriter.MaxFieldLength.LIMITED)
179 self.index.optimize()
183 self.index.optimize()
184 except JavaError, je:
185 print "Error during optimize phase, check index: %s" % je
194 def __exit__(self, type, value, tb):
198 class Index(BaseIndex):
200 Class indexing books.
202 def __init__(self, analyzer=None):
203 super(Index, self).__init__(analyzer)
205 def index_tags(self):
207 Re-index global tag list.
208 Removes all tags from index, then index them again.
209 Indexed fields include: id, name (with and without polish stems), category
211 q = NumericRangeQuery.newIntRange("tag_id", 0, Integer.MAX_VALUE, True, True)
212 self.index.deleteDocuments(q)
214 for tag in catalogue.models.Tag.objects.all():
216 doc.add(NumericField("tag_id", Field.Store.YES, True).setIntValue(int(tag.id)))
217 doc.add(Field("tag_name", tag.name, Field.Store.NO, Field.Index.ANALYZED))
218 doc.add(Field("tag_name_pl", tag.name, Field.Store.NO, Field.Index.ANALYZED))
219 doc.add(Field("tag_category", tag.category, Field.Store.NO, Field.Index.NOT_ANALYZED))
220 self.index.addDocument(doc)
222 def create_book_doc(self, book):
224 Create a lucene document referring book id.
227 doc.add(NumericField("book_id", Field.Store.YES, True).setIntValue(int(book.id)))
228 if book.parent is not None:
229 doc.add(NumericField("parent_id", Field.Store.YES, True).setIntValue(int(book.parent.id)))
232 def remove_book(self, book):
233 """Removes a book from search index.
234 book - Book instance."""
235 q = NumericRangeQuery.newIntRange("book_id", book.id, book.id, True, True)
236 self.index.deleteDocuments(q)
238 def index_book(self, book, book_info=None, overwrite=True):
241 Creates a lucene document for extracted metadata
242 and calls self.index_content() to index the contents of the book.
245 self.remove_book(book)
247 book_doc = self.create_book_doc(book)
248 meta_fields = self.extract_metadata(book, book_info)
249 for f in meta_fields.values():
250 if isinstance(f, list) or isinstance(f, tuple):
256 self.index.addDocument(book_doc)
259 self.index_content(book, book_fields=[meta_fields['title'], meta_fields['authors']])
264 'dramat_wierszowany_l',
265 'dramat_wierszowany_lp',
266 'dramat_wspolczesny', 'liryka_l', 'liryka_lp',
270 skip_header_tags = ['autor_utworu', 'nazwa_utworu', 'dzielo_nadrzedne']
272 def extract_metadata(self, book, book_info=None):
274 Extract metadata from book and returns a map of fields keyed by fieldname
278 if book_info is None:
279 book_info = dcparser.parse(open(book.xml_file.path))
281 fields['slug'] = Field("slug", book.slug, Field.Store.NO, Field.Index.ANALYZED_NO_NORMS)
282 fields['tags'] = self.add_gaps([Field("tags", t.name, Field.Store.NO, Field.Index.ANALYZED) for t in book.tags], 'tags')
283 fields['is_book'] = Field("is_book", 'true', Field.Store.NO, Field.Index.NOT_ANALYZED)
286 for field in dcparser.BookInfo.FIELDS:
287 if hasattr(book_info, field.name):
288 if not getattr(book_info, field.name):
290 # since no type information is available, we use validator
291 type_indicator = field.validator
292 if type_indicator == dcparser.as_unicode:
293 s = getattr(book_info, field.name)
297 fields[field.name] = Field(field.name, s, Field.Store.NO, Field.Index.ANALYZED)
298 except JavaError as je:
299 raise Exception("failed to add field: %s = '%s', %s(%s)" % (field.name, s, je.message, je.args))
300 elif type_indicator == dcparser.as_person:
301 p = getattr(book_info, field.name)
302 if isinstance(p, dcparser.Person):
305 persons = ', '.join(map(unicode, p))
306 fields[field.name] = Field(field.name, persons, Field.Store.NO, Field.Index.ANALYZED)
307 elif type_indicator == dcparser.as_date:
308 dt = getattr(book_info, field.name)
309 fields[field.name] = Field(field.name, "%04d%02d%02d" %\
310 (dt.year, dt.month, dt.day), Field.Store.NO, Field.Index.NOT_ANALYZED)
314 def add_gaps(self, fields, fieldname):
316 Interposes a list of fields with gap-fields, which are indexed spaces and returns it.
317 This allows for doing phrase queries which do not overlap the gaps (when slop is 0).
321 yield Field(fieldname, ' ', Field.Store.NO, Field.Index.NOT_ANALYZED)
322 return reduce(lambda a, b: a + b, zip(fields, gap()))[0:-1]
324 def get_master(self, root):
326 Returns the first master tag from an etree.
328 for master in root.iter():
329 if master.tag in self.master_tags:
332 def index_content(self, book, book_fields=[]):
334 Walks the book XML and extract content from it.
335 Adds parts for each header tag and for each fragment.
337 wld = WLDocument.from_file(book.xml_file.path, parse_dublincore=False)
338 root = wld.edoc.getroot()
340 master = self.get_master(root)
346 for child in list(node):
347 for b, e in walker(child):
352 def fix_format(text):
353 return re.sub("(?m)/$", "", text)
355 def add_part(snippets, **fields):
356 doc = self.create_book_doc(book)
357 for f in book_fields:
360 doc.add(NumericField('header_index', Field.Store.YES, True).setIntValue(fields["header_index"]))
361 doc.add(NumericField("header_span", Field.Store.YES, True)\
362 .setIntValue('header_span' in fields and fields['header_span'] or 1))
363 doc.add(Field('header_type', fields["header_type"], Field.Store.YES, Field.Index.NOT_ANALYZED))
365 doc.add(Field('content', fields["content"], Field.Store.NO, Field.Index.ANALYZED, \
366 Field.TermVector.WITH_POSITIONS_OFFSETS))
368 snip_pos = snippets.add(fields["content"])
369 doc.add(NumericField("snippets_position", Field.Store.YES, True).setIntValue(snip_pos[0]))
370 doc.add(NumericField("snippets_length", Field.Store.YES, True).setIntValue(snip_pos[1]))
372 if 'fragment_anchor' in fields:
373 doc.add(Field("fragment_anchor", fields['fragment_anchor'],
374 Field.Store.YES, Field.Index.NOT_ANALYZED))
376 if 'themes' in fields:
377 themes, themes_pl = zip(*[
378 (Field("themes", theme, Field.Store.YES, Field.Index.ANALYZED, Field.TermVector.WITH_POSITIONS),
379 Field("themes_pl", theme, Field.Store.NO, Field.Index.ANALYZED, Field.TermVector.WITH_POSITIONS))
380 for theme in fields['themes']])
382 themes = self.add_gaps(themes, 'themes')
383 themes_pl = self.add_gaps(themes_pl, 'themes_pl')
393 if isinstance(s, unicode):
394 return s.encode('utf-8')
399 snippets = Snippets(book.id).open('w')
401 for header, position in zip(list(master), range(len(master))):
403 if header.tag in self.skip_header_tags:
405 if header.tag is etree.Comment:
411 for start, end in walker(header):
412 # handle fragments and themes.
413 if start is not None and start.tag == 'begin':
414 fid = start.attrib['id'][1:]
415 fragments[fid] = {'content': [], 'themes': [], 'start_section': position, 'start_header': header.tag}
417 elif start is not None and start.tag == 'motyw':
418 fid = start.attrib['id'][1:]
419 if start.text is not None:
420 fragments[fid]['themes'] += map(str.strip, map(give_me_utf8, start.text.split(',')))
422 elif start is not None and start.tag == 'end':
423 fid = start.attrib['id'][1:]
424 if fid not in fragments:
425 continue # a broken <end> node, skip it
426 # import pdb; pdb.set_trace()
427 frag = fragments[fid]
428 if frag['themes'] == []:
429 continue # empty themes list.
433 return u' '.join(map(
434 lambda x: x == None and u'(none)' or unicode(x),
437 doc = add_part(snippets,
438 header_type=frag['start_header'],
439 header_index=frag['start_section'],
440 header_span=position - frag['start_section'] + 1,
442 content=u' '.join(filter(lambda s: s is not None, frag['content'])),
443 themes=frag['themes'])
445 self.index.addDocument(doc)
448 elif start is not None:
449 for frag in fragments.values():
450 frag['content'].append(start.text)
451 content.append(start.text)
452 elif end is not None:
453 for frag in fragments.values():
454 frag['content'].append(end.tail)
455 content.append(end.tail)
457 # in the end, add a section text.
458 doc = add_part(snippets, header_index=position, header_type=header.tag,
459 content=fix_format(u' '.join(filter(lambda s: s is not None, content))))
461 self.index.addDocument(doc)
467 def log_exception_wrapper(f):
472 print("Error in indexing thread: %s" % e)
473 traceback.print_exc()
478 class ReusableIndex(Index):
480 Works like index, but does not close/optimize Lucene index
481 until program exit (uses atexit hook).
482 This is usefull for importbooks command.
484 if you cannot rely on atexit, use ReusableIndex.close_reusable() yourself.
488 def open(self, analyzer=None, threads=4):
489 if ReusableIndex.index is not None:
490 self.index = ReusableIndex.index
492 print("opening index")
493 Index.open(self, analyzer)
494 ReusableIndex.index = self.index
495 atexit.register(ReusableIndex.close_reusable)
497 # def index_book(self, *args, **kw):
498 # job = ReusableIndex.pool.apply_async(log_exception_wrapper(Index.index_book), (self,) + args, kw)
499 # ReusableIndex.pool_jobs.append(job)
502 def close_reusable():
503 if ReusableIndex.index is not None:
504 ReusableIndex.index.optimize()
505 ReusableIndex.index.close()
506 ReusableIndex.index = None
512 class JoinSearch(object):
514 This mixin could be used to handle block join queries.
517 def __init__(self, *args, **kw):
518 super(JoinSearch, self).__init__(*args, **kw)
520 def wrapjoins(self, query, fields=[]):
522 This functions modifies the query in a recursive way,
523 so Term and Phrase Queries contained, which match
524 provided fields are wrapped in a BlockJoinQuery,
525 and so delegated to children documents.
527 if BooleanQuery.instance_(query):
528 qs = BooleanQuery.cast_(query)
530 clause = BooleanClause.cast_(clause)
531 clause.setQuery(self.wrapjoins(clause.getQuery(), fields))
535 query.extractTerms(termset)
538 if t.field() not in fields:
540 return BlockJoinQuery(query, self.parent_filter,
541 BlockJoinQuery.ScoreMode.Total)
543 def bsearch(self, query, max_results=50):
544 q = self.query(query)
545 bjq = BlockJoinQuery(q, self.parent_filter, BlockJoinQuery.ScoreMode.Avg)
547 tops = self.searcher.search(bjq, max_results)
549 for found in tops.scoreDocs:
550 doc = self.searcher.doc(found.doc)
551 bks.append(catalogue.models.Book.objects.get(id=doc.get("book_id")))
552 return (bks, tops.totalHits)
555 class SearchResult(object):
556 def __init__(self, searcher, scoreDocs, score=None, how_found=None, snippets=None):
560 self.score = scoreDocs.score
563 self.hits = None # processed hits
565 stored = searcher.doc(scoreDocs.doc)
566 self.book_id = int(stored.get("book_id"))
568 header_type = stored.get("header_type")
572 sec = (header_type, int(stored.get("header_index")))
573 header_span = stored.get('header_span')
574 header_span = header_span is not None and int(header_span) or 1
576 fragment = stored.get("fragment_anchor")
579 snippets = snippets.replace("/\n", "\n")
580 hit = (sec + (header_span,), fragment, scoreDocs.score, {'how_found': how_found, 'snippets': snippets and [snippets] or []})
582 self._hits.append(hit)
584 def merge(self, other):
585 if self.book_id != other.book_id:
586 raise ValueError("this search result is or book %d; tried to merge with %d" % (self.book_id, other.book_id))
587 self._hits += other._hits
588 if other.score > self.score:
589 self.score = other.score
593 return catalogue.models.Book.objects.get(id=self.book_id)
595 book = property(get_book)
597 def process_hits(self):
605 # to sections and fragments
606 frags = filter(lambda r: r[FRAGMENT] is not None, self._hits)
607 sect = filter(lambda r: r[FRAGMENT] is None, self._hits)
608 sect = filter(lambda s: 0 == len(filter(
609 lambda f: s[POSITION][POSITION_INDEX] >= f[POSITION][POSITION_INDEX]
610 and s[POSITION][POSITION_INDEX] < f[POSITION][POSITION_INDEX] + f[POSITION][POSITION_SPAN],
615 # remove duplicate fragments
620 if fragments[fid][SCORE] >= f[SCORE]:
623 frags = fragments.values()
625 # remove duplicate sections
629 si = s[POSITION][POSITION_INDEX]
632 if sections[si]['score'] >= s[SCORE]:
635 m = {'score': s[SCORE],
636 'section_number': s[POSITION][POSITION_INDEX] + 1,
641 hits = sections.values()
644 frag = catalogue.models.Fragment.objects.get(anchor=f[FRAGMENT])
645 m = {'score': f[SCORE],
647 'section_number': f[POSITION][POSITION_INDEX] + 1,
648 'themes': frag.tags.filter(category='theme')
653 hits.sort(lambda a, b: cmp(a['score'], b['score']), reverse=True)
659 def __unicode__(self):
660 return u'SearchResult(book_id=%d, score=%d)' % (self.book_id, self.score)
663 def aggregate(*result_lists):
665 for rl in result_lists:
667 if r.book_id in books:
668 books[r.book_id].merge(r)
669 #print(u"already have one with score %f, and this one has score %f" % (books[book.id][0], found.score))
672 return books.values()
674 def __cmp__(self, other):
675 return cmp(self.score, other.score)
680 Given some hint information (information we already know about)
681 our search target - like author, title (specific book), epoch, genre, kind
682 we can narrow down search using filters.
684 def __init__(self, search):
686 Accepts a Searcher instance.
693 def books(self, *books):
695 Give a hint that we search these books.
699 def tags(self, tags):
701 Give a hint that these Tag objects (a list of)
705 if t.category in ['author', 'title', 'epoch', 'genre', 'kind']:
706 lst = self.book_tags.get(t.category, [])
708 self.book_tags[t.category] = lst
709 if t.category in ['theme', 'theme_pl']:
710 self.part_tags.append(t)
712 def tag_filter(self, tags, field='tags'):
714 Given a lsit of tags and an optional field (but they are normally in tags field)
715 returns a filter accepting only books with specific tags.
720 toks = self.search.get_tokens(tag.name, field=field)
721 tag_phrase = PhraseQuery()
723 tag_phrase.add(Term(field, tok))
724 q.add(BooleanClause(tag_phrase, BooleanClause.Occur.MUST))
726 return QueryWrapperFilter(q)
728 def book_filter(self):
730 Filters using book tags (all tag kinds except a theme)
732 tags = reduce(lambda a, b: a + b, self.book_tags.values(), [])
734 return self.tag_filter(tags)
738 def part_filter(self):
740 This filter can be used to look for book parts.
741 It filters on book id and/or themes.
745 fs.append(self.tag_filter(self.part_tags, field='themes'))
747 if self._books != []:
749 for b in self._books:
750 id_filter = NumericRangeFilter.newIntRange('book_id', b.id, b.id, True, True)
751 bf.add(FilterClause(id_filter, BooleanClause.Occur.SHOULD))
754 return Search.chain_filters(fs)
756 def should_search_for_book(self):
757 return self._books == []
759 def just_search_in(self, all):
760 """Holds logic to figure out which indexes should be search, when we have some hinst already"""
763 if field == 'authors' and 'author' in self.book_tags:
765 if field == 'title' and self._books != []:
767 if (field == 'themes' or field == 'themes_pl') and self.part_tags:
773 class Search(IndexStore):
777 def __init__(self, default_field="content"):
778 IndexStore.__init__(self)
779 self.analyzer = WLAnalyzer() # PolishAnalyzer(Version.LUCENE_34)
780 # self.analyzer = WLAnalyzer()
781 self.searcher = IndexSearcher(self.store, True)
782 self.parser = QueryParser(Version.LUCENE_34, default_field,
785 self.parent_filter = TermsFilter()
786 self.parent_filter.addTerm(Term("is_book", "true"))
788 def query(self, query):
789 """Parse query in default Lucene Syntax. (for humans)
791 return self.parser.parse(query)
793 def simple_search(self, query, max_results=50):
794 """Runs a query for books using lucene syntax. (for humans)
795 Returns (books, total_hits)
798 tops = self.searcher.search(self.query(query), max_results)
800 for found in tops.scoreDocs:
801 doc = self.searcher.doc(found.doc)
802 bks.append(catalogue.models.Book.objects.get(id=doc.get("book_id")))
803 return (bks, tops.totalHits)
805 def get_tokens(self, searched, field='content'):
806 """returns tokens analyzed by a proper (for a field) analyzer
807 argument can be: StringReader, string/unicode, or tokens. In the last case
808 they will just be returned (so we can reuse tokens, if we don't change the analyzer)
810 if isinstance(searched, str) or isinstance(searched, unicode):
811 searched = StringReader(searched)
812 elif isinstance(searched, list):
816 tokens = self.analyzer.reusableTokenStream(field, searched)
818 while tokens.incrementToken():
819 cta = tokens.getAttribute(CharTermAttribute.class_)
820 toks.append(cta.toString())
823 def fuzziness(self, fuzzy):
824 """Helper method to sanitize fuzziness"""
827 if isinstance(fuzzy, float) and fuzzy > 0.0 and fuzzy <= 1.0:
832 def make_phrase(self, tokens, field='content', slop=2, fuzzy=False):
834 Return a PhraseQuery with a series of tokens.
837 phrase = MultiPhraseQuery()
839 term = Term(field, t)
840 fuzzterm = FuzzyTermEnum(self.searcher.getIndexReader(), term, self.fuzziness(fuzzy))
844 # print("fuzz %s" % unicode(fuzzterm.term()).encode('utf-8'))
848 if not fuzzterm.next(): break
850 phrase.add(JArray('object')(fuzzterms, Term))
854 phrase = PhraseQuery()
857 term = Term(field, t)
861 def make_term_query(self, tokens, field='content', modal=BooleanClause.Occur.SHOULD, fuzzy=False):
863 Returns term queries joined by boolean query.
864 modal - applies to boolean query
865 fuzzy - should the query by fuzzy.
869 term = Term(field, t)
871 term = FuzzyQuery(term, self.fuzziness(fuzzy))
873 term = TermQuery(term)
874 q.add(BooleanClause(term, modal))
877 # def content_query(self, query):
878 # return BlockJoinQuery(query, self.parent_filter,
879 # BlockJoinQuery.ScoreMode.Total)
881 def search_perfect_book(self, searched, max_results=20, fuzzy=False, hint=None):
883 Search for perfect book matches. Just see if the query matches with some author or title,
884 taking hints into account.
886 fields_to_search = ['authors', 'title']
889 if not hint.should_search_for_book():
891 fields_to_search = hint.just_search_in(fields_to_search)
892 only_in = hint.book_filter()
894 qrys = [self.make_phrase(self.get_tokens(searched, field=fld), field=fld, fuzzy=fuzzy) for fld in fields_to_search]
898 top = self.searcher.search(q,
899 self.chain_filters([only_in, self.term_filter(Term('is_book', 'true'))]),
901 for found in top.scoreDocs:
902 books.append(SearchResult(self.searcher, found, how_found="search_perfect_book"))
905 def search_book(self, searched, max_results=20, fuzzy=False, hint=None):
906 fields_to_search = ['tags', 'authors', 'title']
910 if not hint.should_search_for_book():
912 fields_to_search = hint.just_search_in(fields_to_search)
913 only_in = hint.book_filter()
915 tokens = self.get_tokens(searched, field='SIMPLE')
919 for fld in fields_to_search:
920 q.add(BooleanClause(self.make_term_query(tokens, field=fld,
921 fuzzy=fuzzy), BooleanClause.Occur.SHOULD))
924 top = self.searcher.search(q,
925 self.chain_filters([only_in, self.term_filter(Term('is_book', 'true'))]),
927 for found in top.scoreDocs:
928 books.append(SearchResult(self.searcher, found, how_found="search_book"))
932 def search_perfect_parts(self, searched, max_results=20, fuzzy=False, hint=None):
934 Search for book parts which containt a phrase perfectly matching (with a slop of 2, default for make_phrase())
935 some part/fragment of the book.
937 qrys = [self.make_phrase(self.get_tokens(searched), field=fld, fuzzy=fuzzy) for fld in ['content']]
941 flt = hint.part_filter()
945 top = self.searcher.search(q,
946 self.chain_filters([self.term_filter(Term('is_book', 'true'), inverse=True),
949 for found in top.scoreDocs:
950 books.append(SearchResult(self.searcher, found, snippets=self.get_snippets(found, q), how_found='search_perfect_parts'))
954 def search_everywhere(self, searched, max_results=20, fuzzy=False, hint=None):
956 Tries to use search terms to match different fields of book (or its parts).
957 E.g. one word can be an author survey, another be a part of the title, and the rest
958 are some words from third chapter.
964 only_in = hint.part_filter()
966 # content only query : themes x content
969 tokens_pl = self.get_tokens(searched, field='content')
970 tokens = self.get_tokens(searched, field='SIMPLE')
972 # only search in themes when we do not already filter by themes
973 if hint is None or hint.just_search_in(['themes']) != []:
974 q.add(BooleanClause(self.make_term_query(tokens_pl, field='themes_pl',
975 fuzzy=fuzzy), BooleanClause.Occur.MUST))
977 q.add(BooleanClause(self.make_term_query(tokens_pl, field='content',
978 fuzzy=fuzzy), BooleanClause.Occur.SHOULD))
980 topDocs = self.searcher.search(q, only_in, max_results)
981 for found in topDocs.scoreDocs:
982 books.append(SearchResult(self.searcher, found, how_found='search_everywhere_themesXcontent'))
983 print "* %s theme x content: %s" % (searched, books[-1]._hits)
985 # query themes/content x author/title/tags
987 in_content = BooleanQuery()
988 in_meta = BooleanQuery()
990 for fld in ['themes_pl', 'content']:
991 in_content.add(BooleanClause(self.make_term_query(tokens_pl, field=fld, fuzzy=False), BooleanClause.Occur.SHOULD))
993 for fld in ['tags', 'authors', 'title']:
994 in_meta.add(BooleanClause(self.make_term_query(tokens, field=fld, fuzzy=False), BooleanClause.Occur.SHOULD))
996 q.add(BooleanClause(in_content, BooleanClause.Occur.MUST))
997 q.add(BooleanClause(in_meta, BooleanClause.Occur.SHOULD))
999 topDocs = self.searcher.search(q, only_in, max_results)
1000 for found in topDocs.scoreDocs:
1001 books.append(SearchResult(self.searcher, found, how_found='search_everywhere'))
1002 print "* %s scatter search: %s" % (searched, books[-1]._hits)
1006 # def multisearch(self, query, max_results=50):
1009 # - (phrase) OR -> content
1012 # - (keywords) -> authors
1017 # queryreader = StringReader(query)
1018 # tokens = self.get_tokens(queryreader)
1020 # top_level = BooleanQuery()
1021 # Should = BooleanClause.Occur.SHOULD
1023 # phrase_level = BooleanQuery()
1024 # phrase_level.setBoost(1.3)
1026 # p_content = self.make_phrase(tokens, joined=True)
1027 # p_title = self.make_phrase(tokens, 'title')
1028 # p_author = self.make_phrase(tokens, 'author')
1030 # phrase_level.add(BooleanClause(p_content, Should))
1031 # phrase_level.add(BooleanClause(p_title, Should))
1032 # phrase_level.add(BooleanClause(p_author, Should))
1034 # kw_level = BooleanQuery()
1036 # kw_level.add(self.make_term_query(tokens, 'author'), Should)
1037 # j_themes = self.make_term_query(tokens, 'themes', joined=True)
1038 # kw_level.add(j_themes, Should)
1039 # kw_level.add(self.make_term_query(tokens, 'tags'), Should)
1040 # j_con = self.make_term_query(tokens, joined=True)
1041 # kw_level.add(j_con, Should)
1043 # top_level.add(BooleanClause(phrase_level, Should))
1044 # top_level.add(BooleanClause(kw_level, Should))
1048 def get_snippets(self, scoreDoc, query, field='content'):
1050 Returns a snippet for found scoreDoc.
1052 htmlFormatter = SimpleHTMLFormatter()
1053 highlighter = Highlighter(htmlFormatter, QueryScorer(query))
1055 stored = self.searcher.doc(scoreDoc.doc)
1058 snippets = Snippets(stored.get('book_id')).open()
1060 text = snippets.get((int(stored.get('snippets_position')),
1061 int(stored.get('snippets_length'))))
1065 tokenStream = TokenSources.getAnyTokenStream(self.searcher.getIndexReader(), scoreDoc.doc, field, self.analyzer)
1066 # highlighter.getBestTextFragments(tokenStream, text, False, 10)
1067 snip = highlighter.getBestFragments(tokenStream, text, 3, "...")
1072 def enum_to_array(enum):
1074 Converts a lucene TermEnum to array of Terms, suitable for
1083 if not enum.next(): break
1086 return JArray('object')(terms, Term)
1088 def search_tags(self, query, filter=None, max_results=40):
1090 Search for Tag objects using query.
1092 tops = self.searcher.search(query, filter, max_results)
1095 for found in tops.scoreDocs:
1096 doc = self.searcher.doc(found.doc)
1097 tag = catalogue.models.Tag.objects.get(id=doc.get("tag_id"))
1099 print "%s (%d) -> %f" % (tag, tag.id, found.score)
1103 def search_books(self, query, filter=None, max_results=10):
1105 Searches for Book objects using query
1108 tops = self.searcher.search(query, filter, max_results)
1109 for found in tops.scoreDocs:
1110 doc = self.searcher.doc(found.doc)
1111 bks.append(catalogue.models.Book.objects.get(id=doc.get("book_id")))
1114 def create_prefix_phrase(self, toks, field):
1115 q = MultiPhraseQuery()
1116 for i in range(len(toks)):
1117 t = Term(field, toks[i])
1118 if i == len(toks) - 1:
1119 pterms = Search.enum_to_array(PrefixTermEnum(self.searcher.getIndexReader(), t))
1129 def term_filter(term, inverse=False):
1130 only_term = TermsFilter()
1131 only_term.addTerm(term)
1134 neg = BooleanFilter()
1135 neg.add(FilterClause(only_term, BooleanClause.Occur.MUST_NOT))
1140 def hint_tags(self, string, max_results=50):
1142 Return auto-complete hints for tags
1143 using prefix search.
1145 toks = self.get_tokens(string, field='SIMPLE')
1146 top = BooleanQuery()
1148 for field in ['tag_name', 'tag_name_pl']:
1149 q = self.create_prefix_phrase(toks, field)
1150 top.add(BooleanClause(q, BooleanClause.Occur.SHOULD))
1152 no_book_cat = self.term_filter(Term("tag_category", "book"), inverse=True)
1154 return self.search_tags(top, no_book_cat, max_results=max_results)
1156 def hint_books(self, string, max_results=50):
1158 Returns auto-complete hints for book titles
1159 Because we do not index 'pseudo' title-tags.
1162 toks = self.get_tokens(string, field='SIMPLE')
1164 q = self.create_prefix_phrase(toks, 'title')
1166 return self.search_books(q, self.term_filter(Term("is_book", "true")), max_results=max_results)
1169 def chain_filters(filters, op=ChainedFilter.AND):
1171 Chains a filter list together
1173 filters = filter(lambda x: x is not None, filters)
1176 chf = ChainedFilter(JArray('object')(filters, Filter), op)
1179 def filtered_categories(self, tags):
1181 Return a list of tag categories, present in tags list.
1185 cats[t.category] = True