# -*- coding: utf-8 -*-
from django.conf import settings
-from lucene import SimpleFSDirectory, NIOFSDirectory, IndexWriter, IndexWriterConfig, CheckIndex, \
+from django.dispatch import Signal
+from lucene import SimpleFSDirectory, NIOFSDirectory, IndexWriter, IndexReader, IndexWriterConfig, CheckIndex, \
File, Field, Integer, \
NumericField, Version, Document, JavaError, IndexSearcher, \
QueryParser, PerFieldAnalyzerWrapper, \
pass
else: raise
+ def close(self):
+ self.store.close()
+
class IndexChecker(IndexStore):
def __init__(self):
"""
SNIPPET_DIR = "snippets"
- def __init__(self, book_id):
+ def __init__(self, book_id, revision=None):
try:
os.makedirs(os.path.join(settings.SEARCH_INDEX, self.SNIPPET_DIR))
except OSError as exc:
pass
else: raise
self.book_id = book_id
+ self.revision = revision
self.file = None
+ @property
+ def path(self):
+ if self.revision: fn = "%d.%d" % (self.book_id, self.revision)
+ else: fn = "%d" % self.book_id
+
+ return os.path.join(settings.SEARCH_INDEX, self.SNIPPET_DIR, fn)
+
def open(self, mode='r'):
"""
Open the snippet file. Call .close() afterwards.
"""
if not 'b' in mode:
mode += 'b'
- self.file = open(os.path.join(settings.SEARCH_INDEX, self.SNIPPET_DIR, str(self.book_id)), mode)
+
+ if 'w' in mode:
+ if os.path.exists(self.path):
+ self.revision = 1
+ while True:
+ if not os.path.exists(self.path):
+ break
+ self.revision += 1
+ print "using %s" % self.path
+
+ self.file = open(self.path, mode)
self.position = 0
return self
"""Close snippet file"""
self.file.close()
+ def remove(self):
+ self.revision = None
+ try:
+ os.unlink(self.path)
+ self.revision = 0
+ while True:
+ self.revision += 1
+ os.unlink(self.path)
+ except OSError:
+ pass
+
class BaseIndex(IndexStore):
"""
self.index.close()
self.index = None
+ index_changed.send_robust(self)
+
+ super(BaseIndex, self).close()
+
def __enter__(self):
self.open()
return self
self.close()
+index_changed = Signal()
+
+
class Index(BaseIndex):
"""
Class indexing books.
def __init__(self, analyzer=None):
super(Index, self).__init__(analyzer)
- def index_tags(self):
+ def index_tags(self, *tags, **kw):
"""
Re-index global tag list.
Removes all tags from index, then index them again.
Indexed fields include: id, name (with and without polish stems), category
"""
- q = NumericRangeQuery.newIntRange("tag_id", 0, Integer.MAX_VALUE, True, True)
- self.index.deleteDocuments(q)
+ remove_only = kw.get('remove_only', False)
+ # first, remove tags from index.
+ if tags:
+ q = BooleanQuery()
+ for tag in tags:
+ b_id_cat = BooleanQuery()
+
+ q_id = NumericRangeQuery.newIntRange("tag_id", tag.id, tag.id, True, True)
+ b_id_cat.add(q_id, BooleanClause.Occur.MUST)
- 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(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)
-
- for pdtag in PDCounterAuthor.objects.all():
- doc = Document()
- 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", '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)
+ if isinstance(tag, PDCounterAuthor):
+ q_cat = TermQuery(Term('tag_category', 'pd_author'))
+ elif isinstance(tag, PDCounterBook):
+ q_cat = TermQuery(Term('tag_category', 'pd_book'))
+ else:
+ q_cat = TermQuery(Term('tag_category', tag.category))
+ b_id_cat.add(q_cat, BooleanClause.Occur.MUST)
+
+ q.add(b_id_cat, BooleanClause.Occur.SHOULD)
+ else: # all
+ q = NumericRangeQuery.newIntRange("tag_id", 0, Integer.MAX_VALUE, True, True)
+ self.index.deleteDocuments(q)
+
+ if not remove_only:
+ # then add them [all or just one passed]
+ if not tags:
+ tags = catalogue.models.Tag.objects.exclude(category='set') + \
+ PDCounterAuthor.objects.all() + \
+ PDCounterBook.objects.all()
+
+ for tag in tags:
+ if isinstance(tag, PDCounterAuthor):
+ 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(Field("tag_name_pl", tag.name, Field.Store.NO, Field.Index.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)
+ elif isinstance(tag, PDCounterBook):
+ doc = Document()
+ doc.add(NumericField("tag_id", Field.Store.YES, True).setIntValue(int(tag.id)))
+ doc.add(Field("tag_name", tag.title, Field.Store.NO, Field.Index.ANALYZED))
+ doc.add(Field("tag_name_pl", tag.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)
+ else:
+ 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(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 create_book_doc(self, book):
"""
doc.add(NumericField("parent_id", Field.Store.YES, True).setIntValue(int(book.parent.id)))
return doc
- def remove_book(self, book):
+ def remove_book(self, book, remove_snippets=True):
"""Removes a book from search index.
book - Book instance."""
q = NumericRangeQuery.newIntRange("book_id", book.id, book.id, True, True)
self.index.deleteDocuments(q)
+ if remove_snippets:
+ snippets = Snippets(book.id)
+ snippets.remove()
+
def index_book(self, book, book_info=None, overwrite=True):
"""
Indexes the book.
and calls self.index_content() to index the contents of the book.
"""
if overwrite:
- self.remove_book(book)
+ # we don't remove snippets, since they might be still needed by
+ # threads using not reopened index
+ self.remove_book(book, remove_snippets=False)
book_doc = self.create_book_doc(book)
meta_fields = self.extract_metadata(book, book_info)
.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))
+ print ">>[%s]>%s<<<" % (fields.get('fragment_anchor', ''), fields['content'])
+
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 snippets.revision:
+ doc.add(NumericField("snippets_revision", Field.Store.YES, True).setIntValue(snippets.revision))
if 'fragment_anchor' in fields:
doc.add(Field("fragment_anchor", fields['fragment_anchor'],
ReusableIndex.index.close()
ReusableIndex.index = None
+ index_changed.send_robust(None)
+
def close(self):
if ReusableIndex.index:
ReusableIndex.index.commit()
return self
def get_book(self):
+ if hasattr(self, '_book'):
+ return self._book
return catalogue.models.Book.objects.get(id=self.book_id)
book = property(get_book)
# to sections and fragments
frags = filter(lambda r: r[FRAGMENT] is not None, self._hits)
+
sect = filter(lambda r: r[FRAGMENT] is None, self._hits)
+
+ # sections not covered by fragments
sect = filter(lambda s: 0 == len(filter(
lambda f: s[POSITION][POSITION_INDEX] >= f[POSITION][POSITION_INDEX]
and s[POSITION][POSITION_INDEX] < f[POSITION][POSITION_INDEX] + f[POSITION][POSITION_SPAN],
hits = []
- # remove duplicate fragments
- fragments = {}
- for f in frags:
- fid = f[FRAGMENT]
- if fid in fragments:
- if fragments[fid][SCORE] >= f[SCORE]:
- continue
- fragments[fid] = f
- frags = fragments.values()
+ def remove_duplicates(lst, keyfn, compare):
+ els = {}
+ for e in lst:
+ eif = keyfn(e)
+ if eif in els:
+ if compare(els[eif], e) >= 1:
+ continue
+ els[eif] = e
+ return els.values()
+
+ # remove fragments with duplicated fid's and duplicated snippets
+ frags = remove_duplicates(frags, lambda f: f[FRAGMENT], lambda a, b: cmp(a[SCORE], b[SCORE]))
+ frags = remove_duplicates(frags, lambda f: f[OTHER]['snippets'] and f[OTHER]['snippets'][0] or hash(f),
+ lambda a, b: cmp(a[SCORE], b[SCORE]))
# remove duplicate sections
sections = {}
IndexStore.__init__(self)
self.analyzer = WLAnalyzer() # PolishAnalyzer(Version.LUCENE_34)
# self.analyzer = WLAnalyzer()
- self.searcher = IndexSearcher(self.store, True)
+ reader = IndexReader.open(self.store, True)
+ self.searcher = IndexSearcher(reader)
self.parser = QueryParser(Version.LUCENE_34, default_field,
self.analyzer)
self.parent_filter = TermsFilter()
self.parent_filter.addTerm(Term("is_book", "true"))
+ index_changed.connect(self.reopen)
+
+ def close(self):
+ reader = self.searcher.getIndexReader()
+ self.searcher.close()
+ reader.close()
+ super(Search, self).close()
+ index_changed.disconnect(self.reopen)
+
+ def reopen(self, **unused):
+ reader = self.searcher.getIndexReader()
+ rdr = reader.reopen()
+ print "got signal to reopen index"
+ if not rdr.equals(reader):
+ print "will reopen index"
+ oldsearch = self.searcher
+ self.searcher = IndexSearcher(rdr)
+ oldsearch.close()
+ reader.close()
def query(self, query):
"""Parse query in default Lucene Syntax. (for humans)
length = stored.get('snippets_length')
if position is None or length is None:
return None
+ revision = stored.get('snippets_revision')
+ if revision: revision = int(revision)
# locate content.
book_id = int(stored.get('book_id'))
- snippets = Snippets(book_id).open()
+ snippets = Snippets(book_id, revision=revision).open()
try:
try:
text = snippets.get((int(position),
doc = self.searcher.doc(found.doc)
is_pdcounter = doc.get('is_pdcounter')
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.
+ try:
+ 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:
- 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
- if not (is_pdcounter and filter(lambda t: tag.slug == t.slug, tags)):
- tags.append(tag)
+ tag = catalogue.models.Tag.objects.get(id=doc.get("tag_id"))
+ # don't add the pdcounter tag if same tag already exists
+ if not (is_pdcounter and filter(lambda t: tag.slug == t.slug, tags)):
+ tags.append(tag)
+ except catalogue.models.Tag.DoesNotExist: pass
+ except PDCounterAuthor.DoesNotExist: pass
+ except PDCounterBook.DoesNotExist: pass
+
# print "%s (%d) -> %f" % (tag, tag.id, found.score)
print 'returning %s' % tags
return tags
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")))
+ try:
+ bks.append(catalogue.models.Book.objects.get(id=doc.get("book_id")))
+ except catalogue.models.Book.DoesNotExist: pass
return bks
def make_prefix_phrase(self, toks, field):
JVM.attachCurrentThread()
search = Search()
+
def hint(request):
prefix = request.GET.get('term', '')
if len(prefix) < 2:
def category_name(c):
if c.startswith('pd_'):
- c=c[len('pd_'):]
+ c = c[len('pd_'):]
return _(c)
return JSONResponse(
query = None
fuzzy = False #0.8
- if 'q' in request.GET:
- # tags = request.GET.get('tags', '')
- query = request.GET['q']
- # book_id = request.GET.get('book', None)
- # book = None
- # if book_id is not None:
- # book = get_object_or_404(Book, id=book_id)
-
- # hint = search.hint()
- # try:
- # tag_list = Tag.get_tag_list(tags)
- # except:
- # tag_list = []
-
- if len(query) < 2:
- return render_to_response('catalogue/search_too_short.html', {'prefix': query},
- context_instance=RequestContext(request))
-
- # hint.tags(tag_list)
- # if book:
- # hint.books(book)
- tags = search.hint_tags(query, pdcounter=True, prefix=False, fuzzy=fuzzy)
- tags = split_tags(tags)
-
- toks = StringReader(query)
- tokens_cache = {}
-
- author_results = search.search_phrase(toks, 'authors', fuzzy=fuzzy, tokens_cache=tokens_cache)
- title_results = search.search_phrase(toks, 'title', fuzzy=fuzzy, tokens_cache=tokens_cache)
-
- # Boost main author/title results with mixed search, and save some of its results for end of list.
- # boost author, title results
- author_title_mixed = search.search_some(toks, ['authors', 'title', 'tags'], fuzzy=fuzzy, tokens_cache=tokens_cache)
- author_title_rest = []
- for b in author_title_mixed:
- bks = filter(lambda ba: ba.book_id == b.book_id, author_results + title_results)
- for b2 in bks:
- b2.boost *= 1.1
- if bks is []:
- author_title_rest.append(b)
-
- # Do a phrase search but a term search as well - this can give us better snippets then search_everywhere,
- # Because the query is using only one field.
- text_phrase = SearchResult.aggregate(
- search.search_phrase(toks, 'content', fuzzy=fuzzy, tokens_cache=tokens_cache, snippets=True, book=False, slop=4),
- search.search_some(toks, ['content'], tokens_cache=tokens_cache, snippets=True, book=False))
-
- everywhere = search.search_everywhere(toks, fuzzy=fuzzy, tokens_cache=tokens_cache)
-
- def already_found(results):
- def f(e):
- for r in results:
- if e.book_id == r.book_id:
- e.boost = 0.9
- results.append(e)
- return True
- return False
- return f
- f = already_found(author_results + title_results + text_phrase)
- everywhere = filter(lambda x: not f(x), everywhere)
-
- author_results = SearchResult.aggregate(author_results)
- title_results = SearchResult.aggregate(title_results)
-
- everywhere = SearchResult.aggregate(everywhere, author_title_rest)
-
- for res in [author_results, title_results, text_phrase, everywhere]:
- res.sort(reverse=True)
- for r in res:
- for h in r.hits:
- h['snippets'] = map(lambda s:
- re.subn(r"(^[ \t\n]+|[ \t\n]+$)", u"",
- re.subn(r"[ \t\n]*\n[ \t\n]*", u"\n", s)[0])[0], h['snippets'])
-
- suggestion = did_you_mean(query, search.get_tokens(toks, field="SIMPLE"))
- print "dym? %s" % repr(suggestion).encode('utf-8')
-
- results = author_results + title_results + text_phrase + everywhere
- results.sort(reverse=True)
-
- if len(results) == 1:
- fragment_hits = filter(lambda h: 'fragment' in h, results[0].hits)
- if len(fragment_hits) == 1:
- #anchor = fragment_hits[0]['fragment']
- #frag = Fragment.objects.get(anchor=anchor)
- return HttpResponseRedirect(fragment_hits[0]['fragment'].get_absolute_url())
- return HttpResponseRedirect(results[0].book.get_absolute_url())
- elif len(results) == 0:
- form = PublishingSuggestForm(initial={"books": query + ", "})
- return render_to_response('catalogue/search_no_hits.html',
- {'tags': tags,
- 'prefix': query,
- "form": form,
- 'did_you_mean': suggestion},
- context_instance=RequestContext(request))
-
- print "TAGS: %s" % tags
- return render_to_response('catalogue/search_multiple_hits.html',
+ query = request.GET.get('q','')
+ # book_id = request.GET.get('book', None)
+ # book = None
+ # if book_id is not None:
+ # book = get_object_or_404(Book, id=book_id)
+
+ # hint = search.hint()
+ # try:
+ # tag_list = Tag.get_tag_list(tags)
+ # except:
+ # tag_list = []
+
+ if len(query) < 2:
+ return render_to_response('catalogue/search_too_short.html', {'prefix': query},
+ context_instance=RequestContext(request))
+
+ # hint.tags(tag_list)
+ # if book:
+ # hint.books(book)
+ tags = search.hint_tags(query, pdcounter=True, prefix=False, fuzzy=fuzzy)
+ tags = split_tags(tags)
+
+ toks = StringReader(query)
+ tokens_cache = {}
+
+ author_results = search.search_phrase(toks, 'authors', fuzzy=fuzzy, tokens_cache=tokens_cache)
+ title_results = search.search_phrase(toks, 'title', fuzzy=fuzzy, tokens_cache=tokens_cache)
+
+ # Boost main author/title results with mixed search, and save some of its results for end of list.
+ # boost author, title results
+ author_title_mixed = search.search_some(toks, ['authors', 'title', 'tags'], fuzzy=fuzzy, tokens_cache=tokens_cache)
+ author_title_rest = []
+ for b in author_title_mixed:
+ bks = filter(lambda ba: ba.book_id == b.book_id, author_results + title_results)
+ for b2 in bks:
+ b2.boost *= 1.1
+ if bks is []:
+ author_title_rest.append(b)
+
+ # Do a phrase search but a term search as well - this can give us better snippets then search_everywhere,
+ # Because the query is using only one field.
+ text_phrase = SearchResult.aggregate(
+ search.search_phrase(toks, 'content', fuzzy=fuzzy, tokens_cache=tokens_cache, snippets=True, book=False, slop=4),
+ search.search_some(toks, ['content'], tokens_cache=tokens_cache, snippets=True, book=False))
+
+ everywhere = search.search_everywhere(toks, fuzzy=fuzzy, tokens_cache=tokens_cache)
+
+ def already_found(results):
+ def f(e):
+ for r in results:
+ if e.book_id == r.book_id:
+ e.boost = 0.9
+ results.append(e)
+ return True
+ return False
+ return f
+ f = already_found(author_results + title_results + text_phrase)
+ everywhere = filter(lambda x: not f(x), everywhere)
+
+ author_results = SearchResult.aggregate(author_results)
+ title_results = SearchResult.aggregate(title_results)
+
+ everywhere = SearchResult.aggregate(everywhere, author_title_rest)
+
+ for res in [author_results, title_results, text_phrase, everywhere]:
+ res.sort(reverse=True)
+ for r in res:
+ for h in r.hits:
+ h['snippets'] = map(lambda s:
+ re.subn(r"(^[ \t\n]+|[ \t\n]+$)", u"",
+ re.subn(r"[ \t\n]*\n[ \t\n]*", u"\n", s)[0])[0], h['snippets'])
+
+ suggestion = did_you_mean(query, search.get_tokens(toks, field="SIMPLE"))
+
+ def ensure_exists(r):
+ try:
+ return r.book
+ except Book.DoesNotExist:
+ return False
+
+ author_results = filter(ensure_exists, author_results)
+ title_results = filter(ensure_exists, title_results)
+ text_phrase = filter(ensure_exists, text_phrase)
+ everywhere = filter(ensure_exists, everywhere)
+
+ results = author_results + title_results + text_phrase + everywhere
+ # ensure books do exists & sort them
+ results.sort(reverse=True)
+
+ if len(results) == 1:
+ fragment_hits = filter(lambda h: 'fragment' in h, results[0].hits)
+ if len(fragment_hits) == 1:
+ #anchor = fragment_hits[0]['fragment']
+ #frag = Fragment.objects.get(anchor=anchor)
+ return HttpResponseRedirect(fragment_hits[0]['fragment'].get_absolute_url())
+ return HttpResponseRedirect(results[0].book.get_absolute_url())
+ elif len(results) == 0:
+ form = PublishingSuggestForm(initial={"books": query + ", "})
+ return render_to_response('catalogue/search_no_hits.html',
{'tags': tags,
'prefix': query,
- 'results': { 'author': author_results,
- 'title': title_results,
- 'content': text_phrase,
- 'other': everywhere},
+ "form": form,
'did_you_mean': suggestion},
context_instance=RequestContext(request))
+
+ return render_to_response('catalogue/search_multiple_hits.html',
+ {'tags': tags,
+ 'prefix': query,
+ 'results': { 'author': author_results,
+ 'title': title_results,
+ 'content': text_phrase,
+ 'other': everywhere},
+ 'did_you_mean': suggestion},
+ context_instance=RequestContext(request))
fnp / wolnelektury.git / commitdiff