X-Git-Url: https://git.mdrn.pl/wolnelektury.git/blobdiff_plain/2d850297174fc2800a93ca9d2e0a2bc855907ea6..357027375ff8867f42ca34bcbfb5a78b5b185fc3:/apps/search/index.py diff --git a/apps/search/index.py b/apps/search/index.py deleted file mode 100644 index a19dd6979..000000000 --- a/apps/search/index.py +++ /dev/null @@ -1,766 +0,0 @@ -# -*- coding: utf-8 -*- - -from django.conf import settings -from lucene import SimpleFSDirectory, IndexWriter, CheckIndex, \ - File, Field, \ - NumericField, Version, Document, JavaError, IndexSearcher, \ - QueryParser, PerFieldAnalyzerWrapper, \ - SimpleAnalyzer, PolishAnalyzer, ArrayList, \ - KeywordAnalyzer, NumericRangeQuery, BooleanQuery, \ - BlockJoinQuery, BlockJoinCollector, TermsFilter, \ - HashSet, BooleanClause, Term, CharTermAttribute, \ - PhraseQuery, MultiPhraseQuery, StringReader, TermQuery, BlockJoinQuery, \ - FuzzyQuery, FuzzyTermEnum, Sort, Integer, \ - SimpleHTMLFormatter, Highlighter, QueryScorer, TokenSources, TextFragment, \ - initVM, CLASSPATH, JArray, JavaError - # KeywordAnalyzer - -# Initialize jvm -JVM = initVM(classpath=CLASSPATH, maxheap=str(400*1024*1024)) - -import sys -import os -import re -import errno -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): - def __init__(self): - polish = PolishAnalyzer(Version.LUCENE_34) - simple = SimpleAnalyzer(Version.LUCENE_34) - keyword = KeywordAnalyzer(Version.LUCENE_34) - # not sure if needed: there's NOT_ANALYZED meaning basically the same - - PerFieldAnalyzerWrapper.__init__(self, polish) - - self.addAnalyzer("tags", simple) - self.addAnalyzer("technical_editors", simple) - self.addAnalyzer("editors", simple) - self.addAnalyzer("url", keyword) - self.addAnalyzer("source_url", keyword) - self.addAnalyzer("source_name", simple) - self.addAnalyzer("publisher", simple) - self.addAnalyzer("author", simple) - self.addAnalyzer("is_book", keyword) - - self.addAnalyzer("KEYWORD", keyword) - self.addAnalyzer("SIMPLE", simple) - self.addAnalyzer("POLISH", polish) - - -class IndexStore(object): - def __init__(self): - self.make_index_dir() - self.store = SimpleFSDirectory(File(settings.SEARCH_INDEX)) - - def make_index_dir(self): - try: - os.makedirs(settings.SEARCH_INDEX) - except OSError as exc: - if exc.errno == errno.EEXIST: - pass - else: raise - - -class IndexChecker(IndexStore): - def __init__(self): - IndexStore.__init__(self) - - def check(self): - checker = CheckIndex(self.store) - status = checker.checkIndex() - return status - - -class Snippets(object): - SNIPPET_DIR = "snippets" - - def __init__(self, book_id): - try: - os.makedirs(os.path.join(settings.SEARCH_INDEX, self.SNIPPET_DIR)) - except OSError as exc: - if exc.errno == errno.EEXIST: - pass - else: raise - self.book_id = book_id - self.file = None - - def open(self, mode='r'): - if not 'b' in mode: - mode += 'b' - self.file = open(os.path.join(settings.SEARCH_INDEX, self.SNIPPET_DIR, str(self.book_id)), mode) - self.position = 0 - return self - - def add(self, snippet): - l = len(snippet) - self.file.write(snippet.encode('utf-8')) - pos = (self.position, l) - self.position += l - return pos - - def get(self, pos): - self.file.seek(pos[0], 0) - return self.read(pos[1]).decode('utf-8') - - def close(self): - self.file.close() - - -class Index(IndexStore): - def __init__(self, analyzer=None): - IndexStore.__init__(self) - self.index = None - if not analyzer: - analyzer = WLAnalyzer() - self.analyzer = analyzer - - def open(self, analyzer=None): - if self.index: - raise Exception("Index is already opened") - self.index = IndexWriter(self.store, self.analyzer,\ - IndexWriter.MaxFieldLength.LIMITED) - return self.index - - def optimize(self): - self.index.optimize() - - def close(self): - try: - self.index.optimize() - except JavaError, je: - print "Error during optimize phase, check index: %s" % je - - self.index.close() - self.index = None - - def remove_book(self, book): - 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) - block = ArrayList().of_(Document) - - print "adding block." - for p in parts: - block.add(p) - block.add(doc) - self.index.addDocuments(block) - print "added." - - master_tags = [ - 'opowiadanie', - 'powiesc', - 'dramat_wierszowany_l', - 'dramat_wierszowany_lp', - 'dramat_wspolczesny', 'liryka_l', 'liryka_lp', - 'wywiad' - ] - - skip_header_tags = ['autor_utworu', 'nazwa_utworu', 'dzielo_nadrzedne'] - - def create_book_doc(self, book): - """ - Create a lucene document connected to the book - """ - doc = Document() - doc.add(NumericField("book_id", Field.Store.YES, True).setIntValue(book.id)) - if book.parent is not None: - doc.add(NumericField("parent_id", Field.Store.YES, True).setIntValue(book.parent.id)) - return doc - - 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)) - doc.add(Field("is_book", 'true', Field.Store.NO, Field.Index.NOT_ANALYZED)) - - # validator, name - for field in dcparser.BookInfo.FIELDS: - if hasattr(book_info, field.name): - if not getattr(book_info, field.name): - continue - # since no type information is available, we use validator - type_indicator = field.validator - if type_indicator == dcparser.as_unicode: - s = getattr(book_info, field.name) - if field.multiple: - s = ', '.join(s) - try: - doc.add(Field(field.name, s, Field.Store.NO, Field.Index.ANALYZED)) - except JavaError as je: - raise Exception("failed to add field: %s = '%s', %s(%s)" % (field.name, s, je.message, je.args)) - elif type_indicator == dcparser.as_person: - p = getattr(book_info, field.name) - if isinstance(p, dcparser.Person): - persons = unicode(p) - else: - persons = ', '.join(map(unicode, p)) - doc.add(Field(field.name, persons, Field.Store.NO, Field.Index.ANALYZED)) - elif type_indicator == dcparser.as_date: - dt = getattr(book_info, field.name) - doc.add(Field(field.name, "%04d%02d%02d" % (dt.year, dt.month, dt.day), Field.Store.NO, Field.Index.NOT_ANALYZED)) - return doc - - def get_master(self, root): - for master in root.iter(): - 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() - - master = self.get_master(root) - if master is None: - return [] - - def walker(node): - yield node, None - for child in list(node): - for b, e in walker(child): - yield b, e - yield None, node - return - - def fix_format(text): - return re.sub("/$", "", text, flags=re.M) - - # header_type - # header_index - header_docs = [] - # Then we create a document for each fragments - # fragment_anchor - the anchor - # themes - list of themes [not indexed] - fragment_docs = [] - # will contain (framgent id -> { content: [], themes: [] } - fragments = {} - snippets = Snippets(book.id).open('w') - try: - for header, position in zip(list(master), range(len(master))): - sys.stdout.write("\rsection: %d" % position) - - 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)) - - content = u' '.join([t for t in header.itertext()]) - content = fix_format(content) - - doc.add(Field("content", content, Field.Store.NO, Field.Index.ANALYZED)) - snip_pos = snippets.add(content) - doc.add(NumericField("snippets_position", Field.Store.YES, True).setIntValue(snip_pos[0])) - doc.add(NumericField("snippets_length", Field.Store.YES, True).setIntValue(snip_pos[0])) - - header_docs.append(doc) - - for start, end in walker(master): - if start is not None and start.tag == 'begin': - fid = start.attrib['id'][1:] - fragments[fid] = {'content': [], 'themes': [], 'start_section': position, 'start_header': header.tag} - fragments[fid]['content'].append(start.tail) - elif start is not None and start.tag == 'motyw': - fid = start.attrib['id'][1:] - fragments[fid]['themes'].append(start.text) - fragments[fid]['content'].append(start.tail) - elif start is not None and start.tag == 'end': - fid = start.attrib['id'][1:] - if fid not in fragments: - continue # a broken node, skip it - frag = fragments[fid] - del fragments[fid] - - def jstr(l): - return u' '.join(map( - lambda x: x == None and u'(none)' or unicode(x), - l)) - - doc = self.create_book_doc(book) - - doc.add(NumericField("header_index", Field.Store.YES, True).setIntValue(position)) - doc.add(NumericField("header_span", Field.Store.YES, True).setIntValue(position - frag['start_section'] + 1)) - doc.add(Field("header_type", frag['start_header'], Field.Store.YES, Field.Index.NOT_ANALYZED)) - - doc.add(Field("fragment_anchor", fid, - 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.TermVector.WITH_POSITIONS_OFFSETS)) - - snip_pos = snippets.add(content) - doc.add(NumericField("snippets_position", Field.Store.YES, True).setIntValue(snip_pos[0])) - doc.add(NumericField("snippets_length", Field.Store.YES, True).setIntValue(snip_pos[0])) - - doc.add(Field("themes", - u' '.join(filter(lambda s: s is not None, frag['themes'])), - Field.Store.NO, Field.Index.ANALYZED)) - - fragment_docs.append(doc) - elif start is not None: - for frag in fragments.values(): - frag['content'].append(start.text) - elif end is not None: - for frag in fragments.values(): - frag['content'].append(end.tail) - finally: - snippets.close() - - return header_docs + fragment_docs - - def __enter__(self): - self.open() - return self - - def __exit__(self, type, value, tb): - 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 - 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: - 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(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.get() - sys.stdout.write('.') - sys.stdout.flush() - print("done.") - 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) - self.analyzer = WLAnalyzer() #PolishAnalyzer(Version.LUCENE_34) - ## self.analyzer = WLAnalyzer() - self.searcher = IndexSearcher(self.store, True) - self.parser = QueryParser(Version.LUCENE_34, default_field, - self.analyzer) - - self.parent_filter = TermsFilter() - self.parent_filter.addTerm(Term("is_book", "true")) - - def query(self, query): - return self.parser.parse(query) - - def wrapjoins(self, query, fields=[]): - """ - This functions modifies the query in a recursive way, - so Term and Phrase Queries contained, which match - provided fields are wrapped in a BlockJoinQuery, - and so delegated to children documents. - """ - if BooleanQuery.instance_(query): - qs = BooleanQuery.cast_(query) - for clause in qs: - clause = BooleanClause.cast_(clause) - clause.setQuery(self.wrapjoins(clause.getQuery(), fields)) - return qs - else: - termset = HashSet() - query.extractTerms(termset) - for t in termset: - t = Term.cast_(t) - if t.field() not in fields: - return query - return BlockJoinQuery(query, self.parent_filter, - BlockJoinQuery.ScoreMode.Total) - - def simple_search(self, query, max_results=50): - """Returns (books, total_hits) - """ - - tops = self.searcher.search(self.query(query), max_results) - bks = [] - for found in tops.scoreDocs: - doc = self.searcher.doc(found.doc) - bks.append(catalogue.models.Book.objects.get(id=doc.get("book_id"))) - return (bks, tops.totalHits) - - def search(self, query, max_results=50): - query = self.query(query) - query = self.wrapjoins(query, ["content", "themes"]) - - tops = self.searcher.search(query, max_results) - bks = [] - for found in tops.scoreDocs: - doc = self.searcher.doc(found.doc) - bks.append(catalogue.models.Book.objects.get(id=doc.get("book_id"))) - return (bks, tops.totalHits) - - def bsearch(self, query, max_results=50): - q = self.query(query) - bjq = BlockJoinQuery(q, self.parent_filter, BlockJoinQuery.ScoreMode.Avg) - - tops = self.searcher.search(bjq, max_results) - bks = [] - for found in tops.scoreDocs: - 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 SearchResult(object): - def __init__(self, searcher, scoreDocs, score=None, how_found=None, snippets_cb=None): - if score: - self.score = score - else: - self.score = scoreDocs.score - - self.hits = [] - - stored = searcher.doc(scoreDocs.doc) - self.book_id = int(stored.get("book_id")) - - header_type = stored.get("header_type") - sec = (header_type, int(stored.get("header_index"))) - header_span = stored.get('header_span') - header_span = header_span is not None and int(header_span) or 1 - stored = searcher.doc(scoreDocs.doc) - self.book_id = int(stored.get("book_id")) - - fragment = stored.get("fragment_anchor") - - hit = (sec + (header_span,), fragment, scoreDocs.score, {'how_found': how_found, 'snippets_cb': snippets_cb}) - - self.hits.append(hit) - - 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.hits += other.hits - if other.score > self.score: - self.score = other.score - return self - - 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 - - def sections_covered(results): - frags = filter(lambda r: r[1] is not None, results) - sect = filter(lambda r: r[1] is None, results) - sect = filter(lambda s: 0 == len(filter( - lambda f: s[0][1] >= f[0][1] and s[0][1] < f[0][1] + f[0][2], - frags)), sect) - print "filtered, non overlapped sections: %s" % sect - return frags + sect - - - 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 __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, 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 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, fuzzy=False): - q = BooleanQuery() - for t in tokens: - term = Term(field, t) - 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: - - (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) - # 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) - - # top_level.add(BooleanClause(phrase_level, Should)) - # top_level.add(BooleanClause(kw_level, Should)) - - return None - - 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) - - 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) - - def get_snippets(self, scoreDoc, query, field='content'): - htmlFormatter = SimpleHTMLFormatter() - highlighter = Highlighter(htmlFormatter, QueryScorer(query)) - - stored = self.searcher.doc(scoreDoc.doc) - - # locate content. - snippets = Snippets(stored.get('book_id')).open() - try: - text = snippets.get(stored.get('snippets_position'), stored.get('snippets_length')) - finally: - snippets.close() - - 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]