X-Git-Url: https://git.mdrn.pl/wolnelektury.git/blobdiff_plain/5c3f2f665243a32510f8097bf6c0582fc14d2fd3..756585089fb09cd0e25856b55510e69a52112e5f:/apps/search/index.py diff --git a/apps/search/index.py b/apps/search/index.py index 42a271e02..af3dd9a60 100644 --- a/apps/search/index.py +++ b/apps/search/index.py @@ -1,14 +1,19 @@ # -*- coding: utf-8 -*- + from django.conf import settings from lucene import SimpleFSDirectory, IndexWriter, File, Field, \ NumericField, Version, Document, JavaError, IndexSearcher, \ - QueryParser, Term, PerFieldAnalyzerWrapper, \ + QueryParser, PerFieldAnalyzerWrapper, \ SimpleAnalyzer, PolishAnalyzer, ArrayList, \ KeywordAnalyzer, NumericRangeQuery, BooleanQuery, \ BlockJoinQuery, BlockJoinCollector, TermsFilter, \ HashSet, BooleanClause, Term, CharTermAttribute, \ - PhraseQuery, StringReader, TermQuery + PhraseQuery, MultiPhraseQuery, StringReader, TermQuery, BlockJoinQuery, \ + FuzzyQuery, FuzzyTermEnum, Sort, Integer, \ + SimpleHTMLFormatter, Highlighter, QueryScorer, TokenSources, TextFragment, \ + initVM, CLASSPATH, JArray # KeywordAnalyzer +JVM = initVM(CLASSPATH) import sys import os import errno @@ -16,7 +21,9 @@ from librarian import dcparser from librarian.parser import WLDocument import catalogue.models from multiprocessing.pool import ThreadPool +from threading import current_thread import atexit +import traceback class WLAnalyzer(PerFieldAnalyzerWrapper): @@ -38,7 +45,9 @@ class WLAnalyzer(PerFieldAnalyzerWrapper): self.addAnalyzer("author", simple) self.addAnalyzer("is_book", keyword) - #self.addanalyzer("fragment_anchor", keyword) + self.addAnalyzer("KEYWORD", keyword) + self.addAnalyzer("SIMPLE", simple) + self.addAnalyzer("NATURAL", polish) class IndexStore(object): @@ -76,13 +85,12 @@ class Index(IndexStore): self.index = None def remove_book(self, book): - q = NumericRangeQuery.newIntRange("book_id", book.id, book.id, True,True) + q = NumericRangeQuery.newIntRange("book_id", book.id, book.id, True, True) self.index.deleteDocuments(q) def index_book(self, book, overwrite=True): if overwrite: self.remove_book(book) - doc = self.extract_metadata(book) parts = self.extract_content(book) @@ -102,7 +110,7 @@ class Index(IndexStore): 'wywiad' ] - skip_header_tags = ['autor_utworu', 'nazwa_utworu'] + skip_header_tags = ['autor_utworu', 'nazwa_utworu', 'dzielo_nadrzedne'] def create_book_doc(self, book): """ @@ -117,6 +125,8 @@ class Index(IndexStore): def extract_metadata(self, book): book_info = dcparser.parse(book.xml_file) + print("extract metadata for book %s id=%d, thread%d" % (book.slug, book.id, current_thread().ident)) + doc = self.create_book_doc(book) doc.add(Field("slug", book.slug, Field.Store.NO, Field.Index.ANALYZED_NO_NORMS)) doc.add(Field("tags", ','.join([t.name for t in book.tags]), Field.Store.NO, Field.Index.ANALYZED)) @@ -154,7 +164,6 @@ class Index(IndexStore): if master.tag in self.master_tags: return master - def extract_content(self, book): wld = WLDocument.from_file(book.xml_file.path) root = wld.edoc.getroot() @@ -166,7 +175,7 @@ class Index(IndexStore): master = self.get_master(root) if master is None: return [] - + header_docs = [] for header, position in zip(list(master), range(len(master))): if header.tag in self.skip_header_tags: @@ -175,7 +184,7 @@ class Index(IndexStore): doc.add(NumericField("header_index", Field.Store.YES, True).setIntValue(position)) doc.add(Field("header_type", header.tag, Field.Store.YES, Field.Index.NOT_ANALYZED)) content = u' '.join([t for t in header.itertext()]) - doc.add(Field("content", content, Field.Store.NO, Field.Index.ANALYZED)) + doc.add(Field("content", content, Field.Store.YES, Field.Index.ANALYZED)) header_docs.append(doc) def walker(node): @@ -218,7 +227,7 @@ class Index(IndexStore): Field.Store.YES, Field.Index.NOT_ANALYZED)) doc.add(Field("content", u' '.join(filter(lambda s: s is not None, frag['content'])), - Field.Store.NO, Field.Index.ANALYZED)) + Field.Store.YES, Field.Index.ANALYZED, Field.TermVector.WITH_POSITIONS_OFFSETS)) doc.add(Field("themes", u' '.join(filter(lambda s: s is not None, frag['themes'])), Field.Store.NO, Field.Index.ANALYZED)) @@ -241,6 +250,17 @@ class Index(IndexStore): self.close() +def log_exception_wrapper(f): + def _wrap(*a): + try: + f(*a) + except Exception, e: + print("Error in indexing thread: %s" % e) + traceback.print_exc() + raise e + return _wrap + + class ReusableIndex(Index): """ Works like index, but does not close/optimize Lucene index @@ -257,21 +277,26 @@ class ReusableIndex(Index): if ReusableIndex.index is not None: self.index = ReusableIndex.index else: - ReusableIndex.pool = ThreadPool(threads) + print("opening index") + ReusableIndex.pool = ThreadPool(threads, initializer=lambda: JVM.attachCurrentThread() ) ReusableIndex.pool_jobs = [] Index.open(self, analyzer) ReusableIndex.index = self.index atexit.register(ReusableIndex.close_reusable) def index_book(self, *args, **kw): - job = ReusableIndex.pool.apply_async(Index.index_book, (self,)+ args, kw) + job = ReusableIndex.pool.apply_async(log_exception_wrapper(Index.index_book), (self,) + args, kw) ReusableIndex.pool_jobs.append(job) @staticmethod def close_reusable(): if ReusableIndex.index is not None: + print("wait for indexing to finish") for job in ReusableIndex.pool_jobs: - job.wait() + job.get() + sys.stdout.write('.') + sys.stdout.flush() + print("done.") ReusableIndex.pool.close() ReusableIndex.index.optimize() @@ -285,7 +310,7 @@ class ReusableIndex(Index): class Search(IndexStore): def __init__(self, default_field="content"): IndexStore.__init__(self) - self.analyzer = PolishAnalyzer(Version.LUCENE_34) + self.analyzer = WLAnalyzer() #PolishAnalyzer(Version.LUCENE_34) ## self.analyzer = WLAnalyzer() self.searcher = IndexSearcher(self.store, True) self.parser = QueryParser(Version.LUCENE_34, default_field, @@ -364,42 +389,215 @@ class Search(IndexStore): # } +class SearchResult(object): + def __init__(self, searcher, scoreDocs, score=None, highlight_query=None): + if score: + self.score = score + else: + self.score = scoreDocs.score + + self.fragments = [] + self.scores = {} + self.sections = [] + + stored = searcher.doc(scoreDocs.doc) + self.book_id = int(stored.get("book_id")) + + fragment = stored.get("fragment_anchor") + if fragment: + self.fragments.append(fragment) + self.scores[fragment] = scoreDocs.score + + header_type = stored.get("header_type") + if header_type: + sec = (header_type, int(stored.get("header_index"))) + self.sections.append(sec) + self.scores[sec] = scoreDocs.score + + self.snippets = [] + + def add_snippets(self, snippets): + self.snippets += snippets + return self + + def get_book(self): + return catalogue.models.Book.objects.get(id=self.book_id) + + book = property(get_book) + + def get_parts(self): + book = self.book + parts = [{"header": s[0], "position": s[1], '_score_key': s} for s in self.sections] \ + + [{"fragment": book.fragments.get(anchor=f), '_score_key':f} for f in self.fragments] + + parts.sort(lambda a, b: cmp(self.scores[a['_score_key']], self.scores[b['_score_key']])) + print("bookid: %d parts: %s" % (self.book_id, parts)) + return parts + + parts = property(get_parts) + + def merge(self, other): + if self.book_id != other.book_id: + raise ValueError("this search result is or book %d; tried to merge with %d" % (self.book_id, other.book_id)) + self.fragments += other.fragments + self.sections += other.sections + self.snippets += other.snippets + self.scores.update(other.scores) + if other.score > self.score: + self.score = other.score + return self + + def __unicode__(self): + return u'SearchResult(book_id=%d, score=%d)' % (self.book_id, self.score) + + @staticmethod + def aggregate(*result_lists): + books = {} + for rl in result_lists: + for r in rl: + if r.book_id in books: + books[r.book_id].merge(r) + #print(u"already have one with score %f, and this one has score %f" % (books[book.id][0], found.score)) + else: + books[r.book_id] = r + return books.values() + + def __cmp__(self, other): + return cmp(self.score, other.score) + + class MultiSearch(Search): """Class capable of IMDb-like searching""" - def get_tokens(self, queryreader): - if isinstance(queryreader, str): - queryreader = StringReader(queryreader) - queryreader.reset() - tokens = self.analyzer.reusableTokenStream('content', queryreader) + def get_tokens(self, searched, field='content'): + """returns tokens analyzed by a proper (for a field) analyzer + argument can be: StringReader, string/unicode, or tokens. In the last case + they will just be returned (so we can reuse tokens, if we don't change the analyzer) + """ + if isinstance(searched, str) or isinstance(searched, unicode): + searched = StringReader(searched) + elif isinstance(searched, list): + return searched + + searched.reset() + tokens = self.analyzer.reusableTokenStream(field, searched) toks = [] while tokens.incrementToken(): cta = tokens.getAttribute(CharTermAttribute.class_) toks.append(cta.toString()) return toks - def make_phrase(self, tokens, field='content', joined=False, slop=2): - phrase = PhraseQuery() - phrase.setSlop(slop) - for t in tokens: - term = Term(field, t) - phrase.add(term) - if joined: - phrase = self.content_query(phrase) + def fuzziness(self, fuzzy): + if not fuzzy: + return None + if isinstance(fuzzy, float) and fuzzy > 0.0 and fuzzy <= 1.0: + return fuzzy + else: + return 0.5 + + def make_phrase(self, tokens, field='content', slop=2, fuzzy=False): + if fuzzy: + phrase = MultiPhraseQuery() + for t in tokens: + term = Term(field, t) + fuzzterm = FuzzyTermEnum(self.searcher.getIndexReader(), term, self.fuzziness(fuzzy)) + fuzzterms = [] + + while True: + # print("fuzz %s" % unicode(fuzzterm.term()).encode('utf-8')) + ft = fuzzterm.term() + if ft: + fuzzterms.append(ft) + if not fuzzterm.next(): break + if fuzzterms: + phrase.add(JArray('object')(fuzzterms, Term)) + else: + phrase.add(term) + else: + phrase = PhraseQuery() + phrase.setSlop(slop) + for t in tokens: + term = Term(field, t) + phrase.add(term) return phrase - def make_term_query(self, tokens, field='content', modal=BooleanClause.Occur.SHOULD, joined=False): + def make_term_query(self, tokens, field='content', modal=BooleanClause.Occur.SHOULD, fuzzy=False): q = BooleanQuery() for t in tokens: term = Term(field, t) - q.add(BooleanClause(TermQuery(term), modal)) - if joined: - self.content_query(q) + if fuzzy: + term = FuzzyQuery(term, self.fuzziness(fuzzy)) + else: + term = TermQuery(term) + q.add(BooleanClause(term, modal)) return q def content_query(self, query): return BlockJoinQuery(query, self.parent_filter, BlockJoinQuery.ScoreMode.Total) + def search_perfect_book(self, searched, max_results=20, fuzzy=False): + qrys = [self.make_phrase(self.get_tokens(searched, field=fld), field=fld, fuzzy=fuzzy) for fld in ['author', 'title']] + + books = [] + for q in qrys: + top = self.searcher.search(q, max_results) + for found in top.scoreDocs: + books.append(SearchResult(self.searcher, found)) + return books + + def search_perfect_parts(self, searched, max_results=20, fuzzy=False): + qrys = [self.make_phrase(self.get_tokens(searched), field=fld, fuzzy=fuzzy) for fld in ['content']] + + books = [] + for q in qrys: + top = self.searcher.search(q, max_results) + for found in top.scoreDocs: + books.append(SearchResult(self.searcher, found).add_snippets(self.get_snippets(found, q))) + + return books + + def search_everywhere(self, searched, max_results=20, fuzzy=False): + books = [] + + # content only query : themes x content + q = BooleanQuery() + + tokens = self.get_tokens(searched) + q.add(BooleanClause(self.make_term_query(tokens, field='themes', fuzzy=fuzzy), BooleanClause.Occur.MUST)) + q.add(BooleanClause(self.make_term_query(tokens, field='content', fuzzy=fuzzy), BooleanClause.Occur.SHOULD)) + + topDocs = self.searcher.search(q, max_results) + for found in topDocs.scoreDocs: + books.append(SearchResult(self.searcher, found)) + + # joined query themes/content x author/title/epochs/genres/kinds + q = BooleanQuery() + in_meta = BooleanQuery() + in_content = BooleanQuery() + + for fld in ['themes', 'content']: + in_content.add(BooleanClause(self.make_term_query(tokens, field=fld, fuzzy=False), BooleanClause.Occur.SHOULD)) + + in_meta.add(BooleanClause(self.make_term_query(self.get_tokens(searched, field='author'), field='author', fuzzy=fuzzy), BooleanClause.Occur.SHOULD)) + + for fld in ['title', 'epochs', 'genres', 'kinds']: + in_meta.add(BooleanClause(self.make_term_query(tokens, field=fld, fuzzy=fuzzy), BooleanClause.Occur.SHOULD)) + + q.add(BooleanClause(in_meta, BooleanClause.Occur.MUST)) + in_content_join = self.content_query(in_content) + q.add(BooleanClause(in_content_join, BooleanClause.Occur.MUST)) + # import pdb; pdb.set_trace() + collector = BlockJoinCollector(Sort.RELEVANCE, 100, True, True) + + self.searcher.search(q, collector) + + top_groups = collector.getTopGroups(in_content_join, Sort.RELEVANCE, 0, max_results, 0, True) + if top_groups: + for grp in top_groups.groups: + for part in grp.scoreDocs: + books.append(SearchResult(self.searcher, part, score=grp.maxScore)) + return books + def multisearch(self, query, max_results=50): """ Search strategy: @@ -411,38 +609,39 @@ class MultiSearch(Search): -> tags -> content """ - queryreader = StringReader(query) - tokens = self.get_tokens(queryreader) + # queryreader = StringReader(query) + # tokens = self.get_tokens(queryreader) + + # top_level = BooleanQuery() + # Should = BooleanClause.Occur.SHOULD - top_level = BooleanQuery() - Should = BooleanClause.Occur.SHOULD + # phrase_level = BooleanQuery() + # phrase_level.setBoost(1.3) - phrase_level = BooleanQuery() - phrase_level.setBoost(1.3) + # p_content = self.make_phrase(tokens, joined=True) + # p_title = self.make_phrase(tokens, 'title') + # p_author = self.make_phrase(tokens, 'author') - p_content = self.make_phrase(tokens, joined=True) - p_title = self.make_phrase(tokens, 'title') - p_author = self.make_phrase(tokens, 'author') + # phrase_level.add(BooleanClause(p_content, Should)) + # phrase_level.add(BooleanClause(p_title, Should)) + # phrase_level.add(BooleanClause(p_author, Should)) - phrase_level.add(BooleanClause(p_content, Should)) - phrase_level.add(BooleanClause(p_title, Should)) - phrase_level.add(BooleanClause(p_author, Should)) + # kw_level = BooleanQuery() - kw_level = BooleanQuery() + # kw_level.add(self.make_term_query(tokens, 'author'), Should) + # j_themes = self.make_term_query(tokens, 'themes', joined=True) + # kw_level.add(j_themes, Should) + # kw_level.add(self.make_term_query(tokens, 'tags'), Should) + # j_con = self.make_term_query(tokens, joined=True) + # kw_level.add(j_con, Should) - kw_level.add(self.make_term_query(tokens, 'author'), Should) - kw_level.add(self.make_term_query(tokens, 'themes', joined=True), Should) - kw_level.add(self.make_term_query(tokens, 'tags'), Should) - kw_level.add(self.make_term_query(tokens, joined=True), Should) + # top_level.add(BooleanClause(phrase_level, Should)) + # top_level.add(BooleanClause(kw_level, Should)) - top_level.add(BooleanClause(phrase_level, Should)) - top_level.add(BooleanClause(kw_level, Should)) + return None - print self.do_search(phrase_level) - print self.do_search(kw_level) - print self.do_search(top_level) - def do_search(self, query, max_results=50): + def do_search(self, query, max_results=50, collector=None): tops = self.searcher.search(query, max_results) #tops = self.searcher.search(p_content, max_results) @@ -453,3 +652,16 @@ class MultiSearch(Search): bks.append(b) print "%s (%d) -> %f" % (b, b.id, found.score) return (bks, tops.totalHits) + + def get_snippets(self, scoreDoc, query, field='content'): + htmlFormatter = SimpleHTMLFormatter() + highlighter = Highlighter(htmlFormatter, QueryScorer(query)) + + stored = self.searcher.doc(scoreDoc.doc) + text = stored.get(field) + tokenStream = TokenSources.getAnyTokenStream(self.searcher.getIndexReader(), scoreDoc.doc, field, self.analyzer) + # highlighter.getBestTextFragments(tokenStream, text, False, 10) + snip = highlighter.getBestFragments(tokenStream, text, 3, "...") + print('snips: %s' % snip) + + return [snip]