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 import catalogue.models
29 from multiprocessing.pool import ThreadPool
30 from threading import current_thread
35 class WLAnalyzer(PerFieldAnalyzerWrapper):
37 polish = PolishAnalyzer(Version.LUCENE_34)
38 # polish_gap.setPositionIncrementGap(999)
40 simple = SimpleAnalyzer(Version.LUCENE_34)
41 # simple_gap.setPositionIncrementGap(999)
43 keyword = KeywordAnalyzer(Version.LUCENE_34)
45 # not sure if needed: there's NOT_ANALYZED meaning basically the same
47 PerFieldAnalyzerWrapper.__init__(self, polish)
49 self.addAnalyzer("tags", simple)
50 self.addAnalyzer("technical_editors", simple)
51 self.addAnalyzer("editors", simple)
52 self.addAnalyzer("url", keyword)
53 self.addAnalyzer("source_url", keyword)
54 self.addAnalyzer("source_name", simple)
55 self.addAnalyzer("publisher", simple)
56 self.addAnalyzer("authors", simple)
57 self.addAnalyzer("title", simple)
59 self.addAnalyzer("is_book", keyword)
60 # shouldn't the title have two forms? _pl and simple?
62 self.addAnalyzer("themes", simple)
63 self.addAnalyzer("themes_pl", polish)
65 self.addAnalyzer("tag_name", simple)
66 self.addAnalyzer("tag_name_pl", polish)
68 self.addAnalyzer("translators", simple)
70 self.addAnalyzer("KEYWORD", keyword)
71 self.addAnalyzer("SIMPLE", simple)
72 self.addAnalyzer("POLISH", polish)
75 class IndexStore(object):
77 Provides access to search index.
79 self.store - lucene index directory
83 self.store = SimpleFSDirectory(File(settings.SEARCH_INDEX))
85 def make_index_dir(self):
87 os.makedirs(settings.SEARCH_INDEX)
88 except OSError as exc:
89 if exc.errno == errno.EEXIST:
94 class IndexChecker(IndexStore):
96 IndexStore.__init__(self)
99 checker = CheckIndex(self.store)
100 status = checker.checkIndex()
104 class Snippets(object):
106 This class manages snippet files for indexed object (book)
107 the snippets are concatenated together, and their positions and
108 lengths are kept in lucene index fields.
110 SNIPPET_DIR = "snippets"
112 def __init__(self, book_id):
114 os.makedirs(os.path.join(settings.SEARCH_INDEX, self.SNIPPET_DIR))
115 except OSError as exc:
116 if exc.errno == errno.EEXIST:
119 self.book_id = book_id
122 def open(self, mode='r'):
124 Open the snippet file. Call .close() afterwards.
128 self.file = open(os.path.join(settings.SEARCH_INDEX, self.SNIPPET_DIR, str(self.book_id)), mode)
132 def add(self, snippet):
134 Append a snippet (unicode) to the snippet file.
135 Return a (position, length) tuple
137 txt = snippet.encode('utf-8')
140 pos = (self.position, l)
142 print "SSSS %s - %s" % (pos, txt)
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(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(book.id))
228 if book.parent is not None:
229 doc.add(NumericField("parent_id", Field.Store.YES, True).setIntValue(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:
409 for start, end in walker(header):
410 # handle fragments and themes.
411 if start is not None and start.tag == 'begin':
412 fid = start.attrib['id'][1:]
413 fragments[fid] = {'content': [], 'themes': [], 'start_section': position, 'start_header': header.tag}
415 elif start is not None and start.tag == 'motyw':
416 fid = start.attrib['id'][1:]
417 if start.text is not None:
418 fragments[fid]['themes'] += map(str.strip, map(give_me_utf8, start.text.split(',')))
420 elif start is not None and start.tag == 'end':
421 fid = start.attrib['id'][1:]
422 if fid not in fragments:
423 continue # a broken <end> node, skip it
424 # import pdb; pdb.set_trace()
425 frag = fragments[fid]
426 if frag['themes'] == []:
427 continue # empty themes list.
431 return u' '.join(map(
432 lambda x: x == None and u'(none)' or unicode(x),
435 doc = add_part(snippets,
436 header_type=frag['start_header'],
437 header_index=frag['start_section'],
438 header_span=position - frag['start_section'] + 1,
440 content=u' '.join(filter(lambda s: s is not None, frag['content'])),
441 themes=frag['themes'])
443 self.index.addDocument(doc)
446 elif start is not None:
447 for frag in fragments.values():
448 frag['content'].append(start.text)
449 content.append(start.text)
450 elif end is not None:
451 for frag in fragments.values():
452 frag['content'].append(end.tail)
453 content.append(end.tail)
455 # in the end, add a section text.
456 doc = add_part(snippets, header_index=position, header_type=header.tag,
457 content=fix_format(u' '.join(filter(lambda s: s is not None, frag['content']))))
459 self.index.addDocument(doc)
465 def log_exception_wrapper(f):
470 print("Error in indexing thread: %s" % e)
471 traceback.print_exc()
476 class ReusableIndex(Index):
478 Works like index, but does not close/optimize Lucene index
479 until program exit (uses atexit hook).
480 This is usefull for importbooks command.
482 if you cannot rely on atexit, use ReusableIndex.close_reusable() yourself.
486 def open(self, analyzer=None, threads=4):
487 if ReusableIndex.index is not None:
488 self.index = ReusableIndex.index
490 print("opening index")
491 Index.open(self, analyzer)
492 ReusableIndex.index = self.index
493 atexit.register(ReusableIndex.close_reusable)
495 # def index_book(self, *args, **kw):
496 # job = ReusableIndex.pool.apply_async(log_exception_wrapper(Index.index_book), (self,) + args, kw)
497 # ReusableIndex.pool_jobs.append(job)
500 def close_reusable():
501 if ReusableIndex.index is not None:
502 ReusableIndex.index.optimize()
503 ReusableIndex.index.close()
504 ReusableIndex.index = None
510 class JoinSearch(object):
512 This mixin could be used to handle block join queries.
515 def __init__(self, *args, **kw):
516 super(JoinSearch, self).__init__(*args, **kw)
518 def wrapjoins(self, query, fields=[]):
520 This functions modifies the query in a recursive way,
521 so Term and Phrase Queries contained, which match
522 provided fields are wrapped in a BlockJoinQuery,
523 and so delegated to children documents.
525 if BooleanQuery.instance_(query):
526 qs = BooleanQuery.cast_(query)
528 clause = BooleanClause.cast_(clause)
529 clause.setQuery(self.wrapjoins(clause.getQuery(), fields))
533 query.extractTerms(termset)
536 if t.field() not in fields:
538 return BlockJoinQuery(query, self.parent_filter,
539 BlockJoinQuery.ScoreMode.Total)
541 def bsearch(self, query, max_results=50):
542 q = self.query(query)
543 bjq = BlockJoinQuery(q, self.parent_filter, BlockJoinQuery.ScoreMode.Avg)
545 tops = self.searcher.search(bjq, max_results)
547 for found in tops.scoreDocs:
548 doc = self.searcher.doc(found.doc)
549 bks.append(catalogue.models.Book.objects.get(id=doc.get("book_id")))
550 return (bks, tops.totalHits)
553 class SearchResult(object):
554 def __init__(self, searcher, scoreDocs, score=None, how_found=None, snippets=None):
558 self.score = scoreDocs.score
561 self.hits = None # processed hits
563 stored = searcher.doc(scoreDocs.doc)
564 self.book_id = int(stored.get("book_id"))
566 header_type = stored.get("header_type")
570 sec = (header_type, int(stored.get("header_index")))
571 header_span = stored.get('header_span')
572 header_span = header_span is not None and int(header_span) or 1
574 fragment = stored.get("fragment_anchor")
577 snippets = snippets.replace("/\n", "\n")
578 hit = (sec + (header_span,), fragment, scoreDocs.score, {'how_found': how_found, 'snippets': snippets and [snippets] or []})
580 self._hits.append(hit)
582 def merge(self, other):
583 if self.book_id != other.book_id:
584 raise ValueError("this search result is or book %d; tried to merge with %d" % (self.book_id, other.book_id))
585 self._hits += other._hits
586 if other.score > self.score:
587 self.score = other.score
591 return catalogue.models.Book.objects.get(id=self.book_id)
593 book = property(get_book)
595 def process_hits(self):
603 # to sections and fragments
604 frags = filter(lambda r: r[FRAGMENT] is not None, self._hits)
605 sect = filter(lambda r: r[FRAGMENT] is None, self._hits)
606 sect = filter(lambda s: 0 == len(filter(
607 lambda f: s[POSITION][POSITION_INDEX] >= f[POSITION][POSITION_INDEX]
608 and s[POSITION][POSITION_INDEX] < f[POSITION][POSITION_INDEX] + f[POSITION][POSITION_SPAN],
613 # remove duplicate fragments
618 if fragments[fid][SCORE] >= f[SCORE]:
621 frags = fragments.values()
623 # remove duplicate sections
627 si = s[POSITION][POSITION_INDEX]
630 if sections[si]['score'] >= s[SCORE]:
633 m = {'score': s[SCORE],
634 'section_number': s[POSITION][POSITION_INDEX] + 1,
639 hits = sections.values()
642 frag = catalogue.models.Fragment.objects.get(anchor=f[FRAGMENT])
643 m = {'score': f[SCORE],
645 'section_number': f[POSITION][POSITION_INDEX] + 1,
646 'themes': frag.tags.filter(category='theme')
651 hits.sort(lambda a, b: cmp(a['score'], b['score']), reverse=True)
657 def __unicode__(self):
658 return u'SearchResult(book_id=%d, score=%d)' % (self.book_id, self.score)
661 def aggregate(*result_lists):
663 for rl in result_lists:
665 if r.book_id in books:
666 books[r.book_id].merge(r)
667 #print(u"already have one with score %f, and this one has score %f" % (books[book.id][0], found.score))
670 return books.values()
672 def __cmp__(self, other):
673 return cmp(self.score, other.score)
678 Given some hint information (information we already know about)
679 our search target - like author, title (specific book), epoch, genre, kind
680 we can narrow down search using filters.
682 def __init__(self, search):
684 Accepts a Searcher instance.
691 def books(self, *books):
693 Give a hint that we search these books.
697 def tags(self, tags):
699 Give a hint that these Tag objects (a list of)
703 if t.category in ['author', 'title', 'epoch', 'genre', 'kind']:
704 lst = self.book_tags.get(t.category, [])
706 self.book_tags[t.category] = lst
707 if t.category in ['theme', 'theme_pl']:
708 self.part_tags.append(t)
710 def tag_filter(self, tags, field='tags'):
712 Given a lsit of tags and an optional field (but they are normally in tags field)
713 returns a filter accepting only books with specific tags.
718 toks = self.search.get_tokens(tag.name, field=field)
719 tag_phrase = PhraseQuery()
721 tag_phrase.add(Term(field, tok))
722 q.add(BooleanClause(tag_phrase, BooleanClause.Occur.MUST))
724 return QueryWrapperFilter(q)
726 def book_filter(self):
728 Filters using book tags (all tag kinds except a theme)
730 tags = reduce(lambda a, b: a + b, self.book_tags.values(), [])
732 return self.tag_filter(tags)
736 def part_filter(self):
738 This filter can be used to look for book parts.
739 It filters on book id and/or themes.
743 fs.append(self.tag_filter(self.part_tags, field='themes'))
745 if self._books != []:
747 for b in self._books:
748 id_filter = NumericRangeFilter.newIntRange('book_id', b.id, b.id, True, True)
749 bf.add(FilterClause(id_filter, BooleanClause.Occur.SHOULD))
752 return Search.chain_filters(fs)
754 def should_search_for_book(self):
755 return self._books == []
757 def just_search_in(self, all):
758 """Holds logic to figure out which indexes should be search, when we have some hinst already"""
761 if field == 'authors' and 'author' in self.book_tags:
763 if field == 'title' and self._books != []:
765 if (field == 'themes' or field == 'themes_pl') and self.part_tags:
771 class Search(IndexStore):
775 def __init__(self, default_field="content"):
776 IndexStore.__init__(self)
777 self.analyzer = WLAnalyzer() # PolishAnalyzer(Version.LUCENE_34)
778 # self.analyzer = WLAnalyzer()
779 self.searcher = IndexSearcher(self.store, True)
780 self.parser = QueryParser(Version.LUCENE_34, default_field,
783 self.parent_filter = TermsFilter()
784 self.parent_filter.addTerm(Term("is_book", "true"))
786 def query(self, query):
787 """Parse query in default Lucene Syntax. (for humans)
789 return self.parser.parse(query)
791 def simple_search(self, query, max_results=50):
792 """Runs a query for books using lucene syntax. (for humans)
793 Returns (books, total_hits)
796 tops = self.searcher.search(self.query(query), max_results)
798 for found in tops.scoreDocs:
799 doc = self.searcher.doc(found.doc)
800 bks.append(catalogue.models.Book.objects.get(id=doc.get("book_id")))
801 return (bks, tops.totalHits)
803 def get_tokens(self, searched, field='content'):
804 """returns tokens analyzed by a proper (for a field) analyzer
805 argument can be: StringReader, string/unicode, or tokens. In the last case
806 they will just be returned (so we can reuse tokens, if we don't change the analyzer)
808 if isinstance(searched, str) or isinstance(searched, unicode):
809 searched = StringReader(searched)
810 elif isinstance(searched, list):
814 tokens = self.analyzer.reusableTokenStream(field, searched)
816 while tokens.incrementToken():
817 cta = tokens.getAttribute(CharTermAttribute.class_)
818 toks.append(cta.toString())
821 def fuzziness(self, fuzzy):
822 """Helper method to sanitize fuzziness"""
825 if isinstance(fuzzy, float) and fuzzy > 0.0 and fuzzy <= 1.0:
830 def make_phrase(self, tokens, field='content', slop=2, fuzzy=False):
832 Return a PhraseQuery with a series of tokens.
835 phrase = MultiPhraseQuery()
837 term = Term(field, t)
838 fuzzterm = FuzzyTermEnum(self.searcher.getIndexReader(), term, self.fuzziness(fuzzy))
842 # print("fuzz %s" % unicode(fuzzterm.term()).encode('utf-8'))
846 if not fuzzterm.next(): break
848 phrase.add(JArray('object')(fuzzterms, Term))
852 phrase = PhraseQuery()
855 term = Term(field, t)
859 def make_term_query(self, tokens, field='content', modal=BooleanClause.Occur.SHOULD, fuzzy=False):
861 Returns term queries joined by boolean query.
862 modal - applies to boolean query
863 fuzzy - should the query by fuzzy.
867 term = Term(field, t)
869 term = FuzzyQuery(term, self.fuzziness(fuzzy))
871 term = TermQuery(term)
872 q.add(BooleanClause(term, modal))
875 # def content_query(self, query):
876 # return BlockJoinQuery(query, self.parent_filter,
877 # BlockJoinQuery.ScoreMode.Total)
879 def search_perfect_book(self, searched, max_results=20, fuzzy=False, hint=None):
881 Search for perfect book matches. Just see if the query matches with some author or title,
882 taking hints into account.
884 fields_to_search = ['authors', 'title']
887 if not hint.should_search_for_book():
889 fields_to_search = hint.just_search_in(fields_to_search)
890 only_in = hint.book_filter()
892 qrys = [self.make_phrase(self.get_tokens(searched, field=fld), field=fld, fuzzy=fuzzy) for fld in fields_to_search]
896 top = self.searcher.search(q,
897 self.chain_filters([only_in, self.term_filter(Term('is_book', 'true'))]),
899 for found in top.scoreDocs:
900 books.append(SearchResult(self.searcher, found, how_found="search_perfect_book"))
903 def search_book(self, searched, max_results=20, fuzzy=False, hint=None):
904 fields_to_search = ['tags', 'authors', 'title']
908 if not hint.should_search_for_book():
910 fields_to_search = hint.just_search_in(fields_to_search)
911 only_in = hint.book_filter()
913 tokens = self.get_tokens(searched, field='SIMPLE')
917 for fld in fields_to_search:
918 q.add(BooleanClause(self.make_term_query(tokens, field=fld,
919 fuzzy=fuzzy), BooleanClause.Occur.SHOULD))
922 top = self.searcher.search(q,
923 self.chain_filters([only_in, self.term_filter(Term('is_book', 'true'))]),
925 for found in top.scoreDocs:
926 books.append(SearchResult(self.searcher, found, how_found="search_book"))
930 def search_perfect_parts(self, searched, max_results=20, fuzzy=False, hint=None):
932 Search for book parts which containt a phrase perfectly matching (with a slop of 2, default for make_phrase())
933 some part/fragment of the book.
935 qrys = [self.make_phrase(self.get_tokens(searched), field=fld, fuzzy=fuzzy) for fld in ['content']]
939 flt = hint.part_filter()
943 top = self.searcher.search(q,
944 self.chain_filters([self.term_filter(Term('is_book', 'true'), inverse=True),
947 for found in top.scoreDocs:
948 books.append(SearchResult(self.searcher, found, snippets=self.get_snippets(found, q), how_found='search_perfect_parts'))
952 def search_everywhere(self, searched, max_results=20, fuzzy=False, hint=None):
954 Tries to use search terms to match different fields of book (or its parts).
955 E.g. one word can be an author survey, another be a part of the title, and the rest
956 are some words from third chapter.
962 only_in = hint.part_filter()
964 # content only query : themes x content
967 tokens_pl = self.get_tokens(searched, field='content')
968 tokens = self.get_tokens(searched, field='SIMPLE')
970 # only search in themes when we do not already filter by themes
971 if hint is None or hint.just_search_in(['themes']) != []:
972 q.add(BooleanClause(self.make_term_query(tokens_pl, field='themes_pl',
973 fuzzy=fuzzy), BooleanClause.Occur.MUST))
975 q.add(BooleanClause(self.make_term_query(tokens_pl, field='content',
976 fuzzy=fuzzy), BooleanClause.Occur.SHOULD))
978 topDocs = self.searcher.search(q, only_in, max_results)
979 for found in topDocs.scoreDocs:
980 books.append(SearchResult(self.searcher, found, how_found='search_everywhere_themesXcontent'))
981 print "* %s theme x content: %s" % (searched, books[-1]._hits)
983 # query themes/content x author/title/tags
985 in_content = BooleanQuery()
986 in_meta = BooleanQuery()
988 for fld in ['themes_pl', 'content']:
989 in_content.add(BooleanClause(self.make_term_query(tokens_pl, field=fld, fuzzy=False), BooleanClause.Occur.SHOULD))
991 for fld in ['tags', 'authors', 'title']:
992 in_meta.add(BooleanClause(self.make_term_query(tokens, field=fld, fuzzy=False), BooleanClause.Occur.SHOULD))
994 q.add(BooleanClause(in_content, BooleanClause.Occur.MUST))
995 q.add(BooleanClause(in_meta, BooleanClause.Occur.SHOULD))
997 topDocs = self.searcher.search(q, only_in, max_results)
998 for found in topDocs.scoreDocs:
999 books.append(SearchResult(self.searcher, found, how_found='search_everywhere'))
1000 print "* %s scatter search: %s" % (searched, books[-1]._hits)
1004 # def multisearch(self, query, max_results=50):
1007 # - (phrase) OR -> content
1010 # - (keywords) -> authors
1015 # queryreader = StringReader(query)
1016 # tokens = self.get_tokens(queryreader)
1018 # top_level = BooleanQuery()
1019 # Should = BooleanClause.Occur.SHOULD
1021 # phrase_level = BooleanQuery()
1022 # phrase_level.setBoost(1.3)
1024 # p_content = self.make_phrase(tokens, joined=True)
1025 # p_title = self.make_phrase(tokens, 'title')
1026 # p_author = self.make_phrase(tokens, 'author')
1028 # phrase_level.add(BooleanClause(p_content, Should))
1029 # phrase_level.add(BooleanClause(p_title, Should))
1030 # phrase_level.add(BooleanClause(p_author, Should))
1032 # kw_level = BooleanQuery()
1034 # kw_level.add(self.make_term_query(tokens, 'author'), Should)
1035 # j_themes = self.make_term_query(tokens, 'themes', joined=True)
1036 # kw_level.add(j_themes, Should)
1037 # kw_level.add(self.make_term_query(tokens, 'tags'), Should)
1038 # j_con = self.make_term_query(tokens, joined=True)
1039 # kw_level.add(j_con, Should)
1041 # top_level.add(BooleanClause(phrase_level, Should))
1042 # top_level.add(BooleanClause(kw_level, Should))
1046 def get_snippets(self, scoreDoc, query, field='content'):
1048 Returns a snippet for found scoreDoc.
1050 htmlFormatter = SimpleHTMLFormatter()
1051 highlighter = Highlighter(htmlFormatter, QueryScorer(query))
1053 stored = self.searcher.doc(scoreDoc.doc)
1056 snippets = Snippets(stored.get('book_id')).open()
1058 text = snippets.get((int(stored.get('snippets_position')),
1059 int(stored.get('snippets_length'))))
1063 tokenStream = TokenSources.getAnyTokenStream(self.searcher.getIndexReader(), scoreDoc.doc, field, self.analyzer)
1064 # highlighter.getBestTextFragments(tokenStream, text, False, 10)
1065 snip = highlighter.getBestFragments(tokenStream, text, 3, "...")
1070 def enum_to_array(enum):
1072 Converts a lucene TermEnum to array of Terms, suitable for
1081 if not enum.next(): break
1084 return JArray('object')(terms, Term)
1086 def search_tags(self, query, filter=None, max_results=40):
1088 Search for Tag objects using query.
1090 tops = self.searcher.search(query, filter, max_results)
1093 for found in tops.scoreDocs:
1094 doc = self.searcher.doc(found.doc)
1095 tag = catalogue.models.Tag.objects.get(id=doc.get("tag_id"))
1097 print "%s (%d) -> %f" % (tag, tag.id, found.score)
1101 def search_books(self, query, filter=None, max_results=10):
1103 Searches for Book objects using query
1106 tops = self.searcher.search(query, filter, max_results)
1107 for found in tops.scoreDocs:
1108 doc = self.searcher.doc(found.doc)
1109 bks.append(catalogue.models.Book.objects.get(id=doc.get("book_id")))
1112 def create_prefix_phrase(self, toks, field):
1113 q = MultiPhraseQuery()
1114 for i in range(len(toks)):
1115 t = Term(field, toks[i])
1116 if i == len(toks) - 1:
1117 pterms = Search.enum_to_array(PrefixTermEnum(self.searcher.getIndexReader(), t))
1127 def term_filter(term, inverse=False):
1128 only_term = TermsFilter()
1129 only_term.addTerm(term)
1132 neg = BooleanFilter()
1133 neg.add(FilterClause(only_term, BooleanClause.Occur.MUST_NOT))
1138 def hint_tags(self, string, max_results=50):
1140 Return auto-complete hints for tags
1141 using prefix search.
1143 toks = self.get_tokens(string, field='SIMPLE')
1144 top = BooleanQuery()
1146 for field in ['tag_name', 'tag_name_pl']:
1147 q = self.create_prefix_phrase(toks, field)
1148 top.add(BooleanClause(q, BooleanClause.Occur.SHOULD))
1150 no_book_cat = self.term_filter(Term("tag_category", "book"), inverse=True)
1152 return self.search_tags(top, no_book_cat, max_results=max_results)
1154 def hint_books(self, string, max_results=50):
1156 Returns auto-complete hints for book titles
1157 Because we do not index 'pseudo' title-tags.
1160 toks = self.get_tokens(string, field='SIMPLE')
1162 q = self.create_prefix_phrase(toks, 'title')
1164 return self.search_books(q, self.term_filter(Term("is_book", "true")), max_results=max_results)
1167 def chain_filters(filters, op=ChainedFilter.AND):
1169 Chains a filter list together
1171 filters = filter(lambda x: x is not None, filters)
1174 chf = ChainedFilter(JArray('object')(filters, Filter), op)
1177 def filtered_categories(self, tags):
1179 Return a list of tag categories, present in tags list.
1183 cats[t.category] = True