-
+# -*- 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, 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, TermQuery, BlockJoinQuery, \
+ Sort, Integer
# KeywordAnalyzer
+import sys
import os
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
class WLAnalyzer(PerFieldAnalyzerWrapper):
self.addAnalyzer("source_name", simple)
self.addAnalyzer("publisher", simple)
self.addAnalyzer("author", simple)
+ self.addAnalyzer("is_book", keyword)
#self.addanalyzer("fragment_anchor", keyword)
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 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)
-
- try:
- self.index.addDocument(doc)
- for p in parts:
- self.index.addDocument(p)
- except JavaError as e:
- import nose.tools; nose.tools.set_trace()
-
- #block.add(p)
- #self.index.addDocuments(block)
-
- # import nose.tools; nose.tools.set_trace()
- #block.add(doc)
- # self.index.addDocuments(block)
+ for p in parts:
+ block.add(p)
+ block.add(doc)
+ self.index.addDocuments(block)
master_tags = [
'opowiadanie',
'wywiad'
]
+ skip_header_tags = ['autor_utworu', 'nazwa_utworu', 'dzielo_nadrzedne']
+
def create_book_doc(self, book):
"""
Create a lucene document connected to the book
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 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()
# 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))):
- print("header %s @%d" % (header, 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()])
- doc.add(Field("content", content, Field.Store.NO, Field.Index.ANALYZED))
+ doc.add(Field("content", content, Field.Store.YES, Field.Index.ANALYZED))
header_docs.append(doc)
def walker(node):
# will contain (framgent id -> { content: [], themes: [] }
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 == 'end':
fid = start.attrib['id'][1:]
+ if fid not in fragments:
+ continue # a broken <end> node, skip it
frag = fragments[fid]
del fragments[fid]
- print("Fragment %s complete, themes: %s contents: %s" % (fid, frag['themes'], frag['content']))
+
+ 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(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))
+ 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.YES, 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():
self.close()
+class ReusableIndex(Index):
+ """
+ Works like index, but does not close/optimize Lucene index
+ until program exit (uses atexit hook).
+ This is usefull for importbooks command.
+
+ if you cannot rely on atexit, use ReusableIndex.close_reusable() yourself.
+ """
+ index = None
+ pool = None
+ pool_jobs = None
+
+ def open(self, analyzer=None, threads=4):
+ if ReusableIndex.index is not None:
+ self.index = ReusableIndex.index
+ else:
+ print("opening index")
+ ReusableIndex.pool = ThreadPool(threads)
+ ReusableIndex.pool_jobs = []
+ Index.open(self, analyzer)
+ ReusableIndex.index = self.index
+ atexit.register(ReusableIndex.close_reusable)
+
+ def index_book(self, *args, **kw):
+ job = ReusableIndex.pool.apply_async(Index.index_book, (self,)+ args, kw)
+ ReusableIndex.pool_jobs.append(job)
+
+ @staticmethod
+ def close_reusable():
+ if ReusableIndex.index is not None:
+ print("closing index")
+ for job in ReusableIndex.pool_jobs:
+ job.wait()
+ ReusableIndex.pool.close()
+
+ ReusableIndex.index.optimize()
+ ReusableIndex.index.close()
+ ReusableIndex.index = None
+
+ def close(self):
+ pass
+
+
class Search(IndexStore):
def __init__(self, default_field="content"):
IndexStore.__init__(self)
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("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 MultiSearch(Search):
+ """Class capable of IMDb-like searching"""
+ def get_tokens(self, queryreader):
+ if isinstance(queryreader, str) or isinstance(queryreader, unicode):
+ queryreader = StringReader(queryreader)
+ queryreader.reset()
+ tokens = self.analyzer.reusableTokenStream('content', queryreader)
+ toks = []
+ while tokens.incrementToken():
+ cta = tokens.getAttribute(CharTermAttribute.class_)
+ toks.append(cta.toString())
+ return toks
+
+ def make_phrase(self, tokens, field='content', slop=2):
+ 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):
+ q = BooleanQuery()
+ for t in tokens:
+ term = Term(field, t)
+ q.add(BooleanClause(TermQuery(term), modal))
+ return q
+
+ def content_query(self, query):
+ return BlockJoinQuery(query, self.parent_filter,
+ BlockJoinQuery.ScoreMode.Total)
+
+ def search_perfect(self, tokens, max_results=20):
+ qrys = [self.make_phrase(tokens, field=fld) for fld in ['author', 'title', 'content']]
+
+ books = []
+ for q in qrys:
+ top = self.searcher.search(q, max_results)
+ for found in top.scoreDocs:
+ book_info = self.searcher.doc(found.doc)
+ books.append((found.score, catalogue.models.Book.objects.get(id=book_info.get("book_id")), []))
+ return books
+
+ def search_everywhere(self, tokens, max_results=20):
+ q = BooleanQuery()
+ in_meta = BooleanQuery()
+ in_content = BooleanQuery()
+
+ for fld in ['themes', 'content']:
+ in_content.add(BooleanClause(self.make_term_query(tokens, field=fld), BooleanClause.Occur.SHOULD))
+
+ for fld in ['author', 'title', 'epochs', 'genres', 'kinds']:
+ in_meta.add(BooleanClause(self.make_term_query(tokens, field=fld), 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))
+
+ collector = BlockJoinCollector(Sort.RELEVANCE, 100, True, True)
+
+ self.searcher.search(q, collector)
+
+ books = []
+
+ top_groups = collector.getTopGroups(in_content_join, Sort.RELEVANCE, 0, max_results, 0, True)
+ if top_groups:
+ for grp in top_groups.groups:
+ doc_id = Integer.cast_(grp.groupValue).intValue()
+ book_data = self.searcher.doc(doc_id)
+ book = catalogue.models.Book.objects.get(id=book_data.get("book_id"))
+ parts = []
+ for part in grp.scoreDocs:
+ part_data = self.searcher.doc(part.doc)
+ header_type = part_data.get("header_type")
+ if header_type:
+ parts.append((part.score, {"header": header_type, "position": int(part_data.get("header_index"))}))
+ fragment = part_data.get("fragment_anchor")
+ if fragment:
+ fragment = book.fragments.get(anchor=fragment)
+ parts.append((part.score, {"fragment": fragment}))
+ books.append((grp.maxScore, book, parts))
+
+ 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)
fnp / wolnelektury.git / blobdiff