X-Git-Url: https://git.mdrn.pl/wolnelektury.git/blobdiff_plain/978c513ebce5fec27c77a3f08fea9030aab7473c..5c3f2f665243a32510f8097bf6c0582fc14d2fd3:/apps/search/index.py?ds=sidebyside diff --git a/apps/search/index.py b/apps/search/index.py index 050fc5b49..42a271e02 100644 --- a/apps/search/index.py +++ b/apps/search/index.py @@ -6,13 +6,17 @@ from lucene import SimpleFSDirectory, IndexWriter, File, Field, \ SimpleAnalyzer, PolishAnalyzer, ArrayList, \ KeywordAnalyzer, NumericRangeQuery, BooleanQuery, \ BlockJoinQuery, BlockJoinCollector, TermsFilter, \ - HashSet, BooleanClause, Term + HashSet, BooleanClause, Term, CharTermAttribute, \ + PhraseQuery, StringReader, TermQuery # KeywordAnalyzer +import sys import os import errno from librarian import dcparser from librarian.parser import WLDocument import catalogue.models +from multiprocessing.pool import ThreadPool +import atexit class WLAnalyzer(PerFieldAnalyzerWrapper): @@ -78,6 +82,7 @@ class Index(IndexStore): def index_book(self, book, overwrite=True): if overwrite: self.remove_book(book) + doc = self.extract_metadata(book) parts = self.extract_content(book) @@ -97,6 +102,8 @@ class Index(IndexStore): 'wywiad' ] + skip_header_tags = ['autor_utworu', 'nazwa_utworu'] + def create_book_doc(self, book): """ Create a lucene document connected to the book @@ -147,6 +154,7 @@ 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() @@ -161,6 +169,8 @@ class Index(IndexStore): header_docs = [] for header, position in zip(list(master), range(len(master))): + if header.tag in self.skip_header_tags: + continue doc = self.create_book_doc(book) 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)) @@ -202,9 +212,6 @@ class Index(IndexStore): return u' '.join(map( lambda x: x == None and u'(none)' or unicode(x), l)) - s = u"Fragment %s complete, themes: %s contents: %s" % \ - (fid, jstr(frag['themes']), jstr(frag['content'])) - print(s.encode('utf-8')) doc = self.create_book_doc(book) doc.add(Field("fragment_anchor", fid, @@ -234,6 +241,47 @@ class Index(IndexStore): self.close() +class ReusableIndex(Index): + """ + Works like index, but does not close/optimize Lucene index + until program exit (uses atexit hook). + This is usefull for importbooks command. + + if you cannot rely on atexit, use ReusableIndex.close_reusable() yourself. + """ + index = None + pool = None + pool_jobs = None + + def open(self, analyzer=None, threads=4): + if ReusableIndex.index is not None: + self.index = ReusableIndex.index + else: + ReusableIndex.pool = ThreadPool(threads) + 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) + ReusableIndex.pool_jobs.append(job) + + @staticmethod + def close_reusable(): + if ReusableIndex.index is not None: + for job in ReusableIndex.pool_jobs: + job.wait() + ReusableIndex.pool.close() + + ReusableIndex.index.optimize() + ReusableIndex.index.close() + ReusableIndex.index = None + + def close(self): + pass + + class Search(IndexStore): def __init__(self, default_field="content"): IndexStore.__init__(self) @@ -296,9 +344,7 @@ class Search(IndexStore): def bsearch(self, query, max_results=50): q = self.query(query) - f = TermsFilter() - f.addTerm(Term("is_book", "true")) - bjq = BlockJoinQuery(q, f, BlockJoinQuery.ScoreMode.Avg) + bjq = BlockJoinQuery(q, self.parent_filter, BlockJoinQuery.ScoreMode.Avg) tops = self.searcher.search(bjq, max_results) bks = [] @@ -306,3 +352,104 @@ class Search(IndexStore): doc = self.searcher.doc(found.doc) bks.append(catalogue.models.Book.objects.get(id=doc.get("book_id"))) return (bks, tops.totalHits) + +# TokenStream tokenStream = analyzer.tokenStream(fieldName, reader); +# OffsetAttribute offsetAttribute = tokenStream.getAttribute(OffsetAttribute.class); +# CharTermAttribute charTermAttribute = tokenStream.getAttribute(CharTermAttribute.class); + +# while (tokenStream.incrementToken()) { +# int startOffset = offsetAttribute.startOffset(); +# int endOffset = offsetAttribute.endOffset(); +# String term = charTermAttribute.toString(); +# } + + +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) + 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) + return phrase + + def make_term_query(self, tokens, field='content', modal=BooleanClause.Occur.SHOULD, joined=False): + q = BooleanQuery() + for t in tokens: + term = Term(field, t) + q.add(BooleanClause(TermQuery(term), modal)) + if joined: + self.content_query(q) + return q + + def content_query(self, query): + return BlockJoinQuery(query, self.parent_filter, + BlockJoinQuery.ScoreMode.Total) + + def multisearch(self, query, max_results=50): + """ + Search strategy: + - (phrase) OR -> content + -> title + -> author + - (keywords) -> author + -> motyw + -> tags + -> content + """ + queryreader = StringReader(query) + tokens = self.get_tokens(queryreader) + + top_level = BooleanQuery() + Should = BooleanClause.Occur.SHOULD + + 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') + + 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.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)) + + 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): + tops = self.searcher.search(query, max_results) + #tops = self.searcher.search(p_content, max_results) + + bks = [] + for found in tops.scoreDocs: + doc = self.searcher.doc(found.doc) + b = catalogue.models.Book.objects.get(id=doc.get("book_id")) + bks.append(b) + print "%s (%d) -> %f" % (b, b.id, found.score) + return (bks, tops.totalHits)