X-Git-Url: https://git.mdrn.pl/wolnelektury.git/blobdiff_plain/d34b2dabcaae5533294fa3861dc763b591702a3f..53d1af7d218c1b0e07165a029d6002338933eb36:/apps/search/index.py diff --git a/apps/search/index.py b/apps/search/index.py index 318e54095..f4da66f10 100644 --- a/apps/search/index.py +++ b/apps/search/index.py @@ -1,21 +1,47 @@ +# -*- coding: utf-8 -*- from django.conf import settings -from lucene import SimpleFSDirectory, IndexWriter, File, Field, NumericField, \ - Version, Document, JavaError, IndexSearcher, QueryParser, Term, PerFieldAnalyzerWrapper, \ - SimpleAnalyzer, PolishAnalyzer, ArrayList, KeywordAnalyzer, NumericRangeQuery +from lucene import SimpleFSDirectory, IndexWriter, CheckIndex, \ + File, Field, Integer, \ + NumericField, Version, Document, JavaError, IndexSearcher, \ + QueryParser, PerFieldAnalyzerWrapper, \ + SimpleAnalyzer, PolishAnalyzer, ArrayList, \ + KeywordAnalyzer, NumericRangeQuery, NumericRangeFilter, BooleanQuery, \ + BlockJoinQuery, BlockJoinCollector, Filter, TermsFilter, ChainedFilter, \ + HashSet, BooleanClause, Term, CharTermAttribute, \ + PhraseQuery, MultiPhraseQuery, StringReader, TermQuery, \ + FuzzyQuery, FuzzyTermEnum, PrefixTermEnum, Sort, Integer, \ + SimpleHTMLFormatter, Highlighter, QueryScorer, TokenSources, TextFragment, \ + BooleanFilter, TermsFilter, FilterClause, QueryWrapperFilter, \ + initVM, CLASSPATH, JArray, JavaError # KeywordAnalyzer + +# Initialize jvm +JVM = initVM(CLASSPATH) + +import sys import os +import re import errno from librarian import dcparser from librarian.parser import WLDocument -from catalogue.models import Book +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) + # polish_gap.setPositionIncrementGap(999) + simple = SimpleAnalyzer(Version.LUCENE_34) + # simple_gap.setPositionIncrementGap(999) + keyword = KeywordAnalyzer(Version.LUCENE_34) + # not sure if needed: there's NOT_ANALYZED meaning basically the same PerFieldAnalyzerWrapper.__init__(self, polish) @@ -27,9 +53,21 @@ class WLAnalyzer(PerFieldAnalyzerWrapper): self.addAnalyzer("source_url", keyword) self.addAnalyzer("source_name", simple) self.addAnalyzer("publisher", simple) - self.addAnalyzer("author", simple) + self.addAnalyzer("authors", simple) + self.addAnalyzer("is_book", keyword) + # shouldn't the title have two forms? _pl and simple? - #self.addanalyzer("fragment_anchor", keyword) + self.addAnalyzer("themes", simple) + self.addAnalyzer("themes_pl", polish) + + self.addAnalyzer("tag_name", simple) + self.addAnalyzer("tag_name_pl", polish) + + self.addAnalyzer("translators", simple) + + self.addAnalyzer("KEYWORD", keyword) + self.addAnalyzer("SIMPLE", simple) + self.addAnalyzer("POLISH", polish) class IndexStore(object): @@ -46,6 +84,53 @@ class IndexStore(object): 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): + txt = snippet.encode('utf-8') + l = len(txt) + self.file.write(txt) + pos = (self.position, l) + self.position += l + return pos + + def get(self, pos): + self.file.seek(pos[0], 0) + txt = self.file.read(pos[1]).decode('utf-8') + return txt + + def close(self): + self.file.close() + + class Index(IndexStore): def __init__(self, analyzer=None): IndexStore.__init__(self) @@ -57,40 +142,55 @@ class Index(IndexStore): def open(self, analyzer=None): if self.index: raise Exception("Index is already opened") - self.index = IndexWriter(self.store, self.analyzer, IndexWriter.MaxFieldLength.LIMITED) + self.index = IndexWriter(self.store, self.analyzer,\ + IndexWriter.MaxFieldLength.LIMITED) return self.index - def close(self): + 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 index_tags(self): + q = NumericRangeQuery.newIntRange("tag_id", 0, Integer.MAX_VALUE, True, True) + self.index.deleteDocuments(q) + + for tag in catalogue.models.Tag.objects.all(): + doc = Document() + doc.add(NumericField("tag_id", Field.Store.YES, True).setIntValue(tag.id)) + doc.add(Field("tag_name", tag.name, Field.Store.NO, Field.Index.ANALYZED)) + doc.add(Field("tag_name_pl", tag.name, Field.Store.NO, Field.Index.ANALYZED)) + doc.add(Field("tag_category", tag.category, Field.Store.NO, Field.Index.NOT_ANALYZED)) + self.index.addDocument(doc) + 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): + + def index_book(self, book, book_info=None, overwrite=True): if overwrite: self.remove_book(book) - doc = self.extract_metadata(book) - parts = self.extract_content(book) - block = ArrayList().of_(Document) - - try: - self.index.addDocument(doc) - for p in parts: - self.index.addDocument(p) - except JavaError as e: - import nose.tools; nose.tools.set_trace() + book_doc = self.create_book_doc(book) + meta_fields = self.extract_metadata(book, book_info) + for f in meta_fields.values(): + if isinstance(f, list) or isinstance(f, tuple): + for elem in f: + book_doc.add(elem) + else: + book_doc.add(f) - #block.add(p) - #self.index.addDocuments(block) - - # import nose.tools; nose.tools.set_trace() - #block.add(doc) + self.index.addDocument(book_doc) + del book_doc - # self.index.addDocuments(block) + self.index_content(book, book_fields=[meta_fields['title'], meta_fields['authors']]) master_tags = [ 'opowiadanie', @@ -101,6 +201,8 @@ class Index(IndexStore): 'wywiad' ] + skip_header_tags = ['autor_utworu', 'nazwa_utworu', 'dzielo_nadrzedne'] + def create_book_doc(self, book): """ Create a lucene document connected to the book @@ -111,12 +213,15 @@ class Index(IndexStore): 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) + def extract_metadata(self, book, book_info=None): + fields = {} - 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)) + if book_info is None: + book_info = dcparser.parse(open(book.xml_file.path)) + + fields['slug'] = Field("slug", book.slug, Field.Store.NO, Field.Index.ANALYZED_NO_NORMS) + fields['tags'] = self.add_gaps([Field("tags", t.name, Field.Store.NO, Field.Index.ANALYZED) for t in book.tags], 'tags') + fields['is_book'] = Field("is_book", 'true', Field.Store.NO, Field.Index.NOT_ANALYZED) # validator, name for field in dcparser.BookInfo.FIELDS: @@ -130,7 +235,7 @@ class Index(IndexStore): if field.multiple: s = ', '.join(s) try: - doc.add(Field(field.name, s, Field.Store.NO, Field.Index.ANALYZED)) + fields[field.name] = 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: @@ -139,34 +244,32 @@ class Index(IndexStore): persons = unicode(p) else: persons = ', '.join(map(unicode, p)) - doc.add(Field(field.name, persons, Field.Store.NO, Field.Index.ANALYZED)) + fields[field.name] = 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 + fields[field.name] = Field(field.name, "%04d%02d%02d" %\ + (dt.year, dt.month, dt.day), Field.Store.NO, Field.Index.NOT_ANALYZED) + + return fields 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) + def add_gaps(self, fields, fieldname): + def gap(): + while True: + yield Field(fieldname, ' ', Field.Store.NO, Field.Index.NOT_ANALYZED) + return reduce(lambda a, b: a + b, zip(fields, gap()))[0:-1] + + def index_content(self, book, book_fields=[]): + wld = WLDocument.from_file(book.xml_file.path, parse_dublincore=False) root = wld.edoc.getroot() - # first we build a sequence of top-level items. - # book_id - # header_index - the 0-indexed position of header element. - # content master = self.get_master(root) - header_docs = [] - for header, position in zip(list(master), range(len(master))): - print("header %s @%d" % (header, position)) - doc = self.create_book_doc(book) - doc.add(NumericField("header_index", Field.Store.YES, True).setIntValue(position)) - content = u' '.join([t for t in header.itertext()]) - doc.add(Field("content", content, Field.Store.NO, Field.Index.ANALYZED)) - header_docs.append(doc) + if master is None: + return [] def walker(node): yield node, None @@ -176,41 +279,110 @@ class Index(IndexStore): yield None, node return - # 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: [] } + def fix_format(text): + return re.sub("/$", "", text, flags=re.M) + + def add_part(snippets, **fields): + doc = self.create_book_doc(book) + for f in book_fields: + doc.add(f) + + doc.add(NumericField('header_index', Field.Store.YES, True).setIntValue(fields["header_index"])) + doc.add(NumericField("header_span", Field.Store.YES, True)\ + .setIntValue('header_span' in fields and fields['header_span'] or 1)) + doc.add(Field('header_type', fields["header_type"], Field.Store.YES, Field.Index.NOT_ANALYZED)) + + doc.add(Field('content', fields["content"], Field.Store.NO, Field.Index.ANALYZED, \ + Field.TermVector.WITH_POSITIONS_OFFSETS)) + + snip_pos = snippets.add(fields["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[1])) + + if 'fragment_anchor' in fields: + doc.add(Field("fragment_anchor", fields['fragment_anchor'], + Field.Store.YES, Field.Index.NOT_ANALYZED)) + + if 'themes' in fields: + themes, themes_pl = zip(*[ + (Field("themes", theme, Field.Store.YES, Field.Index.ANALYZED, Field.TermVector.WITH_POSITIONS), + Field("themes_pl", theme, Field.Store.NO, Field.Index.ANALYZED, Field.TermVector.WITH_POSITIONS)) + for theme in fields['themes']]) + + themes = self.add_gaps(themes, 'themes') + themes_pl = self.add_gaps(themes_pl, 'themes_pl') + + for t in themes: + doc.add(t) + for t in themes_pl: + doc.add(t) + + return doc + + def give_me_utf8(s): + if isinstance(s, unicode): + return s.encode('utf-8') + else: + return s + + fragments = {} - for start, end in walker(master): - print("%s %s" % (start, end)) - if start is not None and start.tag == 'begin': - fid = start.attrib['id'][1:] - fragments[fid] = {'content': [], 'themes': []} - 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:] - frag = fragments[fid] - del fragments[fid] - print("Fragment %s complete, themes: %s contents: %s" % (fid, frag['themes'], frag['content'])) - - doc = self.create_book_doc(book) - 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)) - doc.add(Field("themes", u' '.join(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) - - return header_docs + fragment_docs + snippets = Snippets(book.id).open('w') + try: + for header, position in zip(list(master), range(len(master))): + + if header.tag in self.skip_header_tags: + continue + + content = u' '.join([t for t in header.itertext()]) + content = fix_format(content) + + doc = add_part(snippets, header_index=position, header_type=header.tag, content=content) + + self.index.addDocument(doc) + + for start, end in walker(header): + 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:] + if start.text is not None: + fragments[fid]['themes'] += map(str.strip, map(give_me_utf8, start.text.split(','))) + 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] + if frag['themes'] == []: + continue # empty themes list. + del fragments[fid] + + def jstr(l): + return u' '.join(map( + lambda x: x == None and u'(none)' or unicode(x), + l)) + + doc = add_part(snippets, + header_type=frag['start_header'], + header_index=frag['start_section'], + header_span=position - frag['start_section'] + 1, + fragment_anchor=fid, + content=u' '.join(filter(lambda s: s is not None, frag['content'])), + themes=frag['themes']) + + self.index.addDocument(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() + def __enter__(self): self.open() @@ -220,18 +392,102 @@ 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 + 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 = 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, self.analyzer) + 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 search(self, query, max_results=50): + 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) """ @@ -239,6 +495,517 @@ class Search(IndexStore): bks = [] for found in tops.scoreDocs: doc = self.searcher.doc(found.doc) - bks.append(Book.objects.get(id=doc.get("book_id"))) + 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=None): + self.snippets = [] + + 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") + if not header_type: + return + + 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 + + fragment = stored.get("fragment_anchor") + + hit = (sec + (header_span,), fragment, scoreDocs.score, {'how_found': how_found, 'snippets': snippets}) + + 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 get_book(self): + return catalogue.models.Book.objects.get(id=self.book_id) + + book = property(get_book) + + def process_hits(self): + frags = filter(lambda r: r[1] is not None, self.hits) + sect = filter(lambda r: r[1] is None, self.hits) + 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) + + hits = [] + + for s in sect: + m = {'score': s[2], + 'header_index': s[0][1] + } + m.update(s[3]) + hits.append(m) + + for f in frags: + frag = catalogue.models.Fragment.objects.get(anchor=f[1]) + m = {'score': f[2], + 'fragment': frag, + 'themes': frag.tags.filter(category='theme') + } + m.update(f[3]) + hits.append(m) + + hits.sort(lambda a, b: cmp(a['score'], b['score']), reverse=True) + + print("--- %s" % hits) + + return hits + + 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 Hint(object): + def __init__(self, search): + self.search = search + self.book_tags = {} + self.part_tags = [] + self._books = [] + + def books(self, *books): + self._books = books + + def tags(self, tags): + for t in tags: + if t.category in ['author', 'title', 'epoch', 'genre', 'kind']: + lst = self.book_tags.get(t.category, []) + lst.append(t) + self.book_tags[t.category] = lst + if t.category in ['theme']: + self.part_tags.append(t) + + def tag_filter(self, tags, field='tags'): + q = BooleanQuery() + + for tag in tags: + toks = self.search.get_tokens(tag.name, field=field) + tag_phrase = PhraseQuery() + for tok in toks: + tag_phrase.add(Term(field, tok)) + q.add(BooleanClause(tag_phrase, BooleanClause.Occur.MUST)) + + return QueryWrapperFilter(q) + + def book_filter(self): + tags = reduce(lambda a, b: a + b, self.book_tags.values(), []) + if tags: + return self.tag_filter(tags) + else: + return None + + def part_filter(self): + fs = [] + if self.part_tags: + fs.append(self.tag_filter(self.part_tags, field='themes')) + + if self._books != []: + bf = BooleanFilter() + for b in self._books: + id_filter = NumericRangeFilter.newIntRange('book_id', b.id, b.id, True, True) + bf.add(FilterClause(id_filter, BooleanClause.Occur.SHOULD)) + fs.append(bf) + + return MultiSearch.chain_filters(fs) + + def should_search_for_book(self): + return self._books == [] + + def just_search_in(self, all): + """Holds logic to figure out which indexes should be search, when we have some hinst already""" + some = [] + for field in all: + if field == 'authors' and 'author' in self.book_tags: + continue + if field == 'title' and self._books != []: + continue + if (field == 'themes' or field == 'themes_pl') and self.part_tags: + continue + some.append(field) + return some + + +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, hint=None): + fields_to_search = ['authors', 'title'] + only_in = None + if hint: + if not hint.should_search_for_book(): + return [] + fields_to_search = hint.just_search_in(fields_to_search) + only_in = hint.book_filter() + + qrys = [self.make_phrase(self.get_tokens(searched, field=fld), field=fld, fuzzy=fuzzy) for fld in fields_to_search] + + books = [] + for q in qrys: + top = self.searcher.search(q, + self.chain_filters([only_in, self.term_filter(Term('is_book', 'true'))]), + 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, hint=None): + qrys = [self.make_phrase(self.get_tokens(searched), field=fld, fuzzy=fuzzy) for fld in ['content']] + + flt = None + if hint: + flt = hint.part_filter() + + books = [] + for q in qrys: + top = self.searcher.search(q, + self.chain_filters([self.term_filter(Term('is_book', 'true'), inverse=True), + flt + ]), + max_results) + for found in top.scoreDocs: + books.append(SearchResult(self.searcher, found, snippets=self.get_snippets(found, q))) + + return books + + def search_everywhere(self, searched, max_results=20, fuzzy=False, hint=None): + books = [] + only_in = None + + if hint: + only_in = hint.part_filter() + + # content only query : themes x content + q = BooleanQuery() + + tokens = self.get_tokens(searched) + if hint is None or hint.just_search_in(['themes_pl']) != []: + q.add(BooleanClause(self.make_term_query(tokens, field='themes_pl', + 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, only_in, max_results) + for found in topDocs.scoreDocs: + books.append(SearchResult(self.searcher, found)) + + # query themes/content x author/title/tags + q = BooleanQuery() + # in_meta = BooleanQuery() + in_content = BooleanQuery() + + for fld in ['themes', 'content', 'tags', 'authors', 'title']: + in_content.add(BooleanClause(self.make_term_query(tokens, field=fld, fuzzy=False), BooleanClause.Occur.SHOULD)) + + topDocs = self.searcher.search(q, only_in, max_results) + for found in topDocs.scoreDocs: + books.append(SearchResult(self.searcher, found)) + + return books + + def multisearch(self, query, max_results=50): + """ + Search strategy: + - (phrase) OR -> content + -> title + -> authors + - (keywords) -> authors + -> 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 book_search(self, query, filter=None, max_results=50, collector=None): + tops = self.searcher.search(query, filter, 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 + + 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((int(stored.get('snippets_position')), + int(stored.get('snippets_length')))) + finally: + snippets.close() + + tokenStream = TokenSources.getAnyTokenStream(self.searcher.getIndexReader(), scoreDoc.doc, field, self.analyzer) + # highlighter.getBestTextFragments(tokenStream, text, False, 10) + # import pdb; pdb.set_trace() + snip = highlighter.getBestFragments(tokenStream, text, 3, "...") + + return [snip] + + @staticmethod + def enum_to_array(enum): + """ + Converts a lucene TermEnum to array of Terms, suitable for + addition to queries + """ + terms = [] + + while True: + t = enum.term() + if t: + terms.append(t) + if not enum.next(): break + + if terms: + return JArray('object')(terms, Term) + + def search_tags(self, query, filter=None, max_results=40): + tops = self.searcher.search(query, filter, max_results) + + tags = [] + for found in tops.scoreDocs: + doc = self.searcher.doc(found.doc) + tag = catalogue.models.Tag.objects.get(id=doc.get("tag_id")) + tags.append(tag) + print "%s (%d) -> %f" % (tag, tag.id, found.score) + + return tags + + def search_books(self, query, filter=None, max_results=10): + bks = [] + tops = self.searcher.search(query, filter, max_results) + 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 + + def create_prefix_phrase(self, toks, field): + q = MultiPhraseQuery() + for i in range(len(toks)): + t = Term(field, toks[i]) + if i == len(toks) - 1: + pterms = MultiSearch.enum_to_array(PrefixTermEnum(self.searcher.getIndexReader(), t)) + if pterms: + q.add(pterms) + else: + q.add(t) + else: + q.add(t) + return q + + @staticmethod + def term_filter(term, inverse=False): + only_term = TermsFilter() + only_term.addTerm(term) + + if inverse: + neg = BooleanFilter() + neg.add(FilterClause(only_term, BooleanClause.Occur.MUST_NOT)) + only_term = neg + + return only_term + + def hint_tags(self, string, max_results=50): + toks = self.get_tokens(string, field='SIMPLE') + top = BooleanQuery() + + for field in ['tag_name', 'tag_name_pl']: + q = self.create_prefix_phrase(toks, field) + top.add(BooleanClause(q, BooleanClause.Occur.SHOULD)) + + no_book_cat = self.term_filter(Term("tag_category", "book"), inverse=True) + + return self.search_tags(top, no_book_cat, max_results=max_results) + + def hint_books(self, string, max_results=50): + toks = self.get_tokens(string, field='SIMPLE') + + q = self.create_prefix_phrase(toks, 'title') + + return self.book_search(q, self.term_filter(Term("is_book", "true")), max_results=max_results) + + @staticmethod + def chain_filters(filters, op=ChainedFilter.AND): + filters = filter(lambda x: x is not None, filters) + if not filters: + return None + chf = ChainedFilter(JArray('object')(filters, Filter), op) + return chf + + def filtered_categories(self, tags): + cats = {} + for t in tags: + cats[t.category] = True + return cats.keys() + + def hint(self): + return Hint(self)