# -*- coding: utf-8 -*-
from django.conf import settings
-from lucene import SimpleFSDirectory, IndexWriter, CheckIndex, \
+from lucene import SimpleFSDirectory, IndexWriter, IndexWriterConfig, CheckIndex, \
File, Field, Integer, \
NumericField, Version, Document, JavaError, IndexSearcher, \
QueryParser, PerFieldAnalyzerWrapper, \
from librarian.parser import WLDocument
from lxml import etree
import catalogue.models
-from pdcounter.models import Author as PDCounterAuthor
+from pdcounter.models import Author as PDCounterAuthor, BookStub as PDCounterBook
from multiprocessing.pool import ThreadPool
from threading import current_thread
import atexit
analyzer = WLAnalyzer()
self.analyzer = analyzer
- def open(self, analyzer=None):
+ def open(self, timeout=None):
if self.index:
raise Exception("Index is already opened")
- self.index = IndexWriter(self.store, self.analyzer,\
- IndexWriter.MaxFieldLength.LIMITED)
+ conf = IndexWriterConfig(Version.LUCENE_34, self.analyzer)
+ if timeout:
+ conf.setWriteLockTimeout(long(timeout))
+ self.index = IndexWriter(self.store, conf)
return self.index
def optimize(self):
q = NumericRangeQuery.newIntRange("tag_id", 0, Integer.MAX_VALUE, True, True)
self.index.deleteDocuments(q)
- for tag in catalogue.models.Tag.objects.all():
+ for tag in catalogue.models.Tag.objects.exclude(category='set'):
doc = Document()
doc.add(NumericField("tag_id", Field.Store.YES, True).setIntValue(int(tag.id)))
doc.add(Field("tag_name", tag.name, Field.Store.NO, Field.Index.ANALYZED))
doc.add(NumericField("tag_id", Field.Store.YES, True).setIntValue(int(pdtag.id)))
doc.add(Field("tag_name", pdtag.name, Field.Store.NO, Field.Index.ANALYZED))
doc.add(Field("tag_name_pl", pdtag.name, Field.Store.NO, Field.Index.ANALYZED))
- doc.add(Field("tag_category", 'pdcounter', Field.Store.NO, Field.Index.NOT_ANALYZED))
+ doc.add(Field("tag_category", 'pd_author', Field.Store.YES, Field.Index.NOT_ANALYZED))
+ doc.add(Field("is_pdcounter", 'true', Field.Store.YES, Field.Index.NOT_ANALYZED))
+ self.index.addDocument(doc)
+
+ for pdtag in PDCounterBook.objects.all():
+ doc = Document()
+ doc.add(NumericField("tag_id", Field.Store.YES, True).setIntValue(int(pdtag.id)))
+ doc.add(Field("tag_name", pdtag.title, Field.Store.NO, Field.Index.ANALYZED))
+ doc.add(Field("tag_name_pl", pdtag.title, Field.Store.NO, Field.Index.ANALYZED))
+ doc.add(Field("tag_category", 'pd_book', Field.Store.YES, Field.Index.NOT_ANALYZED))
doc.add(Field("is_pdcounter", 'true', Field.Store.YES, Field.Index.NOT_ANALYZED))
self.index.addDocument(doc)
book_doc.add(elem)
else:
book_doc.add(f)
-
self.index.addDocument(book_doc)
del book_doc
(dt.year, dt.month, dt.day), Field.Store.NO, Field.Index.NOT_ANALYZED)
# get published date
- source = book_info.source_name
- if hasattr(book_info, 'source_name'):
- match = self.published_date_re.search(source)
+ pd = None
+ if hasattr(book_info, 'source_name') and book_info.source_name:
+ match = self.published_date_re.search(book_info.source_name)
if match is not None:
- fields["published_date"] = Field("published_date", str(match.groups()[0]), Field.Store.YES, Field.Index.NOT_ANALYZED)
+ pd = str(match.groups()[0])
+ if not pd: pd = ""
+ fields["published_date"] = Field("published_date", pd, Field.Store.YES, Field.Index.NOT_ANALYZED)
return fields
is_footnote=Field("is_footnote", 'true', Field.Store.NO, Field.Index.NOT_ANALYZED))
self.index.addDocument(doc)
- print "@ footnote text: %s" % footnote
+ #print "@ footnote text: %s" % footnote
footnote = []
# handle fragments and themes.
fragment_anchor=fid,
content=fix_format(frag['content']),
themes=frag['themes'])
- print '@ FRAG %s' % frag['content']
+ #print '@ FRAG %s' % frag['content']
self.index.addDocument(doc)
# Collect content.
# in the end, add a section text.
doc = add_part(snippets, header_index=position, header_type=header.tag,
content=fix_format(content))
- print '@ CONTENT: %s' % fix_format(content)
+ #print '@ CONTENT: %s' % fix_format(content)
self.index.addDocument(doc)
"""
index = None
- def open(self, analyzer=None, threads=4):
- if ReusableIndex.index is not None:
+ def open(self, analyzer=None, **kw):
+ if ReusableIndex.index:
self.index = ReusableIndex.index
else:
print("opening index")
- Index.open(self, analyzer)
+ Index.open(self, analyzer, **kw)
ReusableIndex.index = self.index
atexit.register(ReusableIndex.close_reusable)
@staticmethod
def close_reusable():
- if ReusableIndex.index is not None:
+ if ReusableIndex.index:
+ print("closing index")
ReusableIndex.index.optimize()
ReusableIndex.index.close()
ReusableIndex.index = None
def close(self):
- pass
+ if ReusableIndex.index:
+ ReusableIndex.index.commit()
class JoinSearch(object):
self.book_id = int(stored.get("book_id"))
pd = stored.get("published_date")
- if pd is None:
- pd = 0
- self.published_date = int(pd)
+ try:
+ self.published_date = int(pd)
+ except ValueError:
+ self.published_date = 0
header_type = stored.get("header_type")
# we have a content hit in some header of fragment
for f in frags:
try:
- frag = catalogue.models.Fragment.objects.get(anchor=f[FRAGMENT])
+ frag = catalogue.models.Fragment.objects.get(anchor=f[FRAGMENT], book__id=self.book_id)
except catalogue.models.Fragment.DoesNotExist:
# stale index
continue
if position is None or length is None:
return None
# locate content.
- snippets = Snippets(stored.get('book_id')).open()
+ book_id = int(stored.get('book_id'))
+ snippets = Snippets(book_id).open()
try:
- text = snippets.get((int(position),
- int(length)))
- finally:
- snippets.close()
+ try:
+ text = snippets.get((int(position),
+ int(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, "...")
+ tokenStream = TokenSources.getAnyTokenStream(self.searcher.getIndexReader(), scoreDoc.doc, field, self.analyzer)
+ # highlighter.getBestTextFragments(tokenStream, text, False, 10)
+ snip = highlighter.getBestFragments(tokenStream, text, 3, "...")
+ except Exception, e:
+ e2 = e
+ if hasattr(e, 'getJavaException'):
+ e2 = unicode(e.getJavaException())
+ raise Exception("Problem fetching snippets for book %d, @%d len=%d" % (book_id, int(position), int(length)),
+ e2)
return snip
@staticmethod
for found in tops.scoreDocs:
doc = self.searcher.doc(found.doc)
is_pdcounter = doc.get('is_pdcounter')
- if is_pdcounter:
- tag = PDCounterAuthor.objects.get(id=doc.get('tag_id'))
+ category = doc.get('tag_category')
+ if is_pdcounter == 'true':
+ if category == 'pd_author':
+ tag = PDCounterAuthor.objects.get(id=doc.get('tag_id'))
+ elif category == 'pd_book':
+ tag = PDCounterBook.objects.get(id=doc.get('tag_id'))
+ tag.category = 'pd_book' # make it look more lik a tag.
+ else:
+ print "Warning. cannot get pdcounter tag_id=%d from db; cat=%s" % (int(doc.get('tag_id')), category)
else:
tag = catalogue.models.Tag.objects.get(id=doc.get("tag_id"))
# don't add the pdcounter tag if same tag already exists
return only_term
- def hint_tags(self, string, max_results=50, pdcounter=True, prefix=True):
+ def hint_tags(self, string, max_results=50, pdcounter=True, prefix=True, fuzzy=False):
"""
Return auto-complete hints for tags
using prefix search.
if prefix:
q = self.make_prefix_phrase(toks, field)
else:
- q = self.make_term_query(toks, field)
+ q = self.make_term_query(toks, field, fuzzy=fuzzy)
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, pdcounter=pdcounter)
- def hint_books(self, string, max_results=50, prefix=True):
+ def hint_books(self, string, max_results=50, prefix=True, fuzzy=False):
"""
Returns auto-complete hints for book titles
Because we do not index 'pseudo' title-tags.
if prefix:
q = self.make_prefix_phrase(toks, 'title')
else:
- q = self.make_term_query(toks, 'title')
+ q = self.make_term_query(toks, 'title', fuzzy=fuzzy)
return self.search_books(q, self.term_filter(Term("is_book", "true")), max_results=max_results)
fnp / wolnelektury.git / blobdiff