+++ /dev/null
-# -*- coding: utf-8 -*-
-
-from django.conf import settings
-from lucene import SimpleFSDirectory, IndexWriter, CheckIndex, \
- File, Field, Integer, \
- NumericField, Version, Document, JavaError, IndexSearcher, \
- QueryParser, PerFieldAnalyzerWrapper, \
- SimpleAnalyzer, PolishAnalyzer, ArrayList, \
- KeywordAnalyzer, NumericRangeQuery, 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
-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)
-
- 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("themes", simple)
- self.addAnalyzer("themes_pl", polish)
-
- self.addAnalyzer("tag_name", simple)
- self.addAnalyzer("tag_name_pl", polish)
-
- 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):
- txt = snippet.encode('utf-8')
- l = len(txt)
- self.file.write(txt)
- pos = (self.position, l)
- self.position += l
- print "Snip<%s>%s</s>" %(pos, txt)
- return pos
-
- def get(self, pos):
- self.file.seek(pos[0], 0)
- txt = self.file.read(pos[1]).decode('utf-8')
- print "got from snippets %d bytes from %s:" % (len(txt), pos)
- return txt
-
- 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 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)
- self.index.deleteDocuments(q)
-
- def index_book(self, book, overwrite=True):
- if overwrite:
- self.remove_book(book)
-
- book_doc = self.create_book_doc(book)
- meta_fields = self.extract_metadata(book)
- 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)
-
- self.index.addDocument(book_doc)
- del book_doc
-
- self.index_content(book, book_fields=[meta_fields['title'], meta_fields['author']])
-
- 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):
- fields = {}
- book_info = dcparser.parse(book.xml_file)
-
- print("extract metadata for book %s id=%d, thread%d" % (book.slug, book.id, current_thread().ident))
-
- 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:
- 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:
- 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:
- p = getattr(book_info, field.name)
- if isinstance(p, dcparser.Person):
- persons = unicode(p)
- else:
- persons = ', '.join(map(unicode, p))
- 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)
- 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 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)
- 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)
-
- 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
-
- fragments = {}
- 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:]
- 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 <end> 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 = 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()
- 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=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 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 Hint(object):
- def __init__(self, search):
- self.search = search
- self.book_tags = {}
- self.part_tags = []
- self.book = None
-
- def book(self, book):
- self.book = book
-
- 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):
- if self.part_tags:
- return self.tag_filter(self.part_tags, field='themes')
- else:
- return None
-
- def should_search_for_book(self):
- return self.book is None
-
- 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 == 'author' and 'author' in self.book_tags:
- continue
- if field == 'title' and self.book is not None:
- 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 = ['author', '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))
-
- # 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 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, "...")
- print('snips: %s' % snip)
-
- 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 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)
fnp / wolnelektury.git / blobdiff