-
+# -*- coding: utf-8 -*-
from django.conf import settings
-from lucene import SimpleFSDirectory, IndexWriter, File, Field, NumericField, PolishAnalyzer, \
- Version, Document, JavaError, IndexSearcher, QueryParser, Term
+from lucene import SimpleFSDirectory, IndexWriter, File, Field, \
+ NumericField, Version, Document, JavaError, IndexSearcher, \
+ QueryParser, Term, PerFieldAnalyzerWrapper, \
+ SimpleAnalyzer, PolishAnalyzer, ArrayList, \
+ KeywordAnalyzer, NumericRangeQuery, BooleanQuery, \
+ BlockJoinQuery, BlockJoinCollector, TermsFilter, \
+ HashSet, BooleanClause, Term, CharTermAttribute, \
+ PhraseQuery, StringReader
+ # KeywordAnalyzer
import os
import errno
from librarian import dcparser
-from catalogue.models import Book
+from librarian.parser import WLDocument
+import catalogue.models
+import atexit
+
+
+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("fragment_anchor", keyword)
class IndexStore(object):
class Index(IndexStore):
- def __init__(self):
+ 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 not analyzer:
- analyzer = PolishAnalyzer(Version.LUCENE_34)
if self.index:
raise Exception("Index is already opened")
- self.index = IndexWriter(self.store, analyzer, IndexWriter.MaxFieldLength.LIMITED)
+ self.index = IndexWriter(self.store, self.analyzer,\
+ IndexWriter.MaxFieldLength.LIMITED)
return self.index
def close(self):
self.index.optimize()
self.index.close()
+ self.index = None
- def index_book(self, book, overwrite=True):
- book_info = dcparser.parse(book.xml_file)
+ 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.index.deleteDocuments(Term("id", str(book.id)))
+ self.remove_book(book)
+
+ doc = self.extract_metadata(book)
+ parts = self.extract_content(book)
+ block = ArrayList().of_(Document)
+ for p in parts:
+ block.add(p)
+ block.add(doc)
+ self.index.addDocuments(block)
+
+ master_tags = [
+ 'opowiadanie',
+ 'powiesc',
+ 'dramat_wierszowany_l',
+ 'dramat_wierszowany_lp',
+ 'dramat_wspolczesny', 'liryka_l', 'liryka_lp',
+ 'wywiad'
+ ]
+
+ skip_header_tags = ['autor_utworu', 'nazwa_utworu']
+
+ def create_book_doc(self, book):
+ """
+ Create a lucene document connected to the book
+ """
doc = Document()
- doc.add(NumericField("id", Field.Store.YES, True).setIntValue(book.id))
+ 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)
+
+ 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:
elif type_indicator == dcparser.as_person:
p = getattr(book_info, field.name)
if isinstance(p, dcparser.Person):
- persons = str(p)
+ persons = unicode(p)
else:
- persons = ', '.join(map(str, p))
+ 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()
+
+ # 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)
+ if master is None:
+ return []
+
+ header_docs = []
+ for header, position in zip(list(master), range(len(master))):
+ if header.tag in self.skip_header_tags:
+ 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()])
+ doc.add(Field("content", content, Field.Store.NO, Field.Index.ANALYZED))
+ header_docs.append(doc)
+
+ def walker(node):
+ yield node, None
+ for child in list(node):
+ for b, e in walker(child):
+ yield b, e
+ 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: [] }
+ fragments = {}
+ for start, end in walker(master):
+ 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:]
+ 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))
- self.index.addDocument(doc)
+ 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(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)
+
+ return header_docs + fragment_docs
def __enter__(self):
self.open()
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
+ def open(self, analyzer=None):
+ if ReusableIndex.index is not None:
+ self.index = ReusableIndex.index
+ else:
+ Index.open(self,analyzer)
+ ReusableIndex.index = self.index
+ atexit.register(ReusableIndex.close_reusable)
+
+ @staticmethod
+ def close_reusable():
+ if ReusableIndex.index is not None:
+ ReusableIndex.index.optimize()
+ ReusableIndex.index.close()
+ ReusableIndex.index = None
+
+ def close(self):
+ pass
+
class Search(IndexStore):
- def __init__(self, default_field="description"):
+ def __init__(self, default_field="content"):
IndexStore.__init__(self)
self.analyzer = 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)
"""
bks = []
for found in tops.scoreDocs:
doc = self.searcher.doc(found.doc)
- bks.append(Book.objects.get(id=doc.get("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 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)
+ return toks
+
+ def make_phrase(self, tokens, field='content', joined=False):
+ phrase = PhraseQuery()
+ 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(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 multiseach(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()
+
+ 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))
+
+ tops = self.searcher.search(top_level, 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)
fnp / wolnelektury.git / blobdiff