# -*- 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, 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):
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)
+
def create_book_doc(self, book):
"""
Create a lucene document referring book id.
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['authors']])
+ self.index_content(book, book_fields=[meta_fields['title'], meta_fields['authors'], meta_fields['published_date']])
master_tags = [
'opowiadanie',
'dramat_wierszowany_l',
'dramat_wierszowany_lp',
'dramat_wspolczesny', 'liryka_l', 'liryka_lp',
- 'wywiad'
+ 'wywiad',
+ ]
+
+ ignore_content_tags = [
+ 'uwaga', 'extra',
+ 'zastepnik_tekstu', 'sekcja_asterysk', 'separator_linia', 'zastepnik_wersu',
+ 'didaskalia',
+ 'naglowek_aktu', 'naglowek_sceny', 'naglowek_czesc',
]
- skip_header_tags = ['autor_utworu', 'nazwa_utworu', 'dzielo_nadrzedne']
+ footnote_tags = ['pa', 'pt', 'pr', 'pe']
+
+ skip_header_tags = ['autor_utworu', 'nazwa_utworu', 'dzielo_nadrzedne', '{http://www.w3.org/1999/02/22-rdf-syntax-ns#}RDF']
+
+ published_date_re = re.compile("([0-9]+)[\]. ]*$")
def extract_metadata(self, book, book_info=None):
"""
fields[field.name] = Field(field.name, "%04d%02d%02d" %\
(dt.year, dt.month, dt.day), Field.Store.NO, Field.Index.NOT_ANALYZED)
+ # get published date
+ pd = None
+ if hasattr(book_info, 'source_name') and book_info.source_name:
+ match = self.published_date_re.search(book_info.source_name)
+ if match is not None:
+ pd = str(match.groups()[0])
+ if not pd: pd = ""
+ fields["published_date"] = Field("published_date", pd, Field.Store.YES, Field.Index.NOT_ANALYZED)
+
return fields
def add_gaps(self, fields, fieldname):
if master is None:
return []
- def walker(node):
- yield node, None
- for child in list(node):
- for b, e in walker(child):
- yield b, e
- yield None, node
+ def walker(node, ignore_tags=[]):
+
+ if node.tag not in ignore_tags:
+ yield node, None, None
+ if node.text is not None:
+ yield None, node.text, None
+ for child in list(node):
+ for b, t, e in walker(child):
+ yield b, t, e
+ yield None, None, node
+
+ if node.tail is not None:
+ yield None, node.tail, None
return
def fix_format(text):
+ # separator = [u" ", u"\t", u".", u";", u","]
+ if isinstance(text, list):
+ # need to join it first
+ text = filter(lambda s: s is not None, content)
+ text = u' '.join(text)
+ # for i in range(len(text)):
+ # if i > 0:
+ # if text[i][0] not in separator\
+ # and text[i - 1][-1] not in separator:
+ # text.insert(i, u" ")
+
return re.sub("(?m)/$", "", text)
def add_part(snippets, **fields):
# section content
content = []
-
- for start, end in walker(header):
- # handle fragments and themes.
+ footnote = []
+
+ def all_content(text):
+ for frag in fragments.values():
+ frag['content'].append(text)
+ content.append(text)
+ handle_text = [all_content]
+
+
+ for start, text, end in walker(header, ignore_tags=self.ignore_content_tags):
+ # handle footnotes
+ if start is not None and start.tag in self.footnote_tags:
+ footnote = []
+ def collect_footnote(t):
+ footnote.append(t)
+ handle_text.append(collect_footnote)
+ elif end is not None and footnote is not [] and end.tag in self.footnote_tags:
+ handle_text.pop()
+ doc = add_part(snippets, header_index=position, header_type=header.tag,
+ content=u''.join(footnote),
+ is_footnote=Field("is_footnote", 'true', Field.Store.NO, Field.Index.NOT_ANALYZED))
+
+ self.index.addDocument(doc)
+ #print "@ footnote text: %s" % footnote
+ footnote = []
+
+ # handle fragments and themes.
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}
+ # themes for this fragment
elif start is not None and start.tag == 'motyw':
fid = start.attrib['id'][1:]
+ handle_text.append(None)
if start.text is not None:
fragments[fid]['themes'] += map(str.strip, map(give_me_utf8, start.text.split(',')))
+ elif end is not None and end.tag == 'motyw':
+ handle_text.pop()
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
- # import pdb; pdb.set_trace()
frag = fragments[fid]
if frag['themes'] == []:
continue # empty themes list.
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'])),
+ content=fix_format(frag['content']),
themes=frag['themes'])
-
+ #print '@ FRAG %s' % frag['content']
self.index.addDocument(doc)
# Collect content.
- elif start is not None:
- for frag in fragments.values():
- frag['content'].append(start.text)
- content.append(start.text)
- elif end is not None:
- for frag in fragments.values():
- frag['content'].append(end.tail)
- content.append(end.tail)
+
+ if text is not None and handle_text is not []:
+ hdl = handle_text[-1]
+ if hdl is not None:
+ hdl(text)
# in the end, add a section text.
doc = add_part(snippets, header_index=position, header_type=header.tag,
- content=fix_format(u' '.join(filter(lambda s: s is not None, content))))
+ content=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):
class SearchResult(object):
- def __init__(self, searcher, scoreDocs, score=None, how_found=None, snippets=None, searched=None, tokens_cache=None):
+ def __init__(self, search, scoreDocs, score=None, how_found=None, snippets=None, searched=None, tokens_cache=None):
if tokens_cache is None: tokens_cache = {}
-
+
if score:
self._score = score
else:
self._score = scoreDocs.score
-
+
self.boost = 1.0
self._hits = []
- self.hits = None # processed hits
+ self._processed_hits = None # processed hits
- stored = searcher.doc(scoreDocs.doc)
+ stored = search.searcher.doc(scoreDocs.doc)
self.book_id = int(stored.get("book_id"))
- header_type = stored.get("header_type")
- if not header_type:
- return
+ pd = stored.get("published_date")
+ try:
+ self.published_date = int(pd)
+ except ValueError:
+ self.published_date = 0
- 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
+ header_type = stored.get("header_type")
+ # we have a content hit in some header of fragment
+ if header_type is not None:
+ 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")
+ fragment = stored.get("fragment_anchor")
- if snippets:
- snippets = snippets.replace("/\n", "\n")
- hit = (sec + (header_span,), fragment, scoreDocs.score, {'how_found': how_found, 'snippets': snippets and [snippets] or []})
+ if snippets:
+ snippets = snippets.replace("/\n", "\n")
+ hit = (sec + (header_span,), fragment, scoreDocs.score, {'how_found': how_found, 'snippets': snippets and [snippets] or []})
- self._hits.append(hit)
+ self._hits.append(hit)
- self.searcher = searcher
+ self.search = search
self.searched = searched
self.tokens_cache = tokens_cache
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
+ self._score = other._score
return self
def get_book(self):
book = property(get_book)
- def process_hits(self):
+ @property
+ def hits(self):
+ if self._processed_hits is not None:
+ return self._processed_hits
+
POSITION = 0
FRAGMENT = 1
POSITION_INDEX = 1
hits = sections.values()
for f in frags:
- frag = catalogue.models.Fragment.objects.get(anchor=f[FRAGMENT])
+ try:
+ frag = catalogue.models.Fragment.objects.get(anchor=f[FRAGMENT], book__id=self.book_id)
+ except catalogue.models.Fragment.DoesNotExist:
+ # stale index
+ continue
# Figure out if we were searching for a token matching some word in theme name.
themes = frag.tags.filter(category='theme')
themes_hit = []
if self.searched is not None:
- tokens = self.searcher.get_tokens(self.searched, 'POLISH', tokens_cache=self.tokens_cache)
+ tokens = self.search.get_tokens(self.searched, 'POLISH', cached=self.tokens_cache)
for theme in themes:
- name_tokens = self.searcher.get_tokens(theme.name, 'POLISH')
+ name_tokens = self.search.get_tokens(theme.name, 'POLISH')
for t in tokens:
- if name_tokens.index(t):
+ if t in name_tokens:
if not theme in themes_hit:
themes_hit.append(theme)
break
hits.sort(lambda a, b: cmp(a['score'], b['score']), reverse=True)
- self.hits = hits
+ self._processed_hits = hits
- return self
+ return hits
def __unicode__(self):
return u'SearchResult(book_id=%d, score=%d)' % (self.book_id, self.score)
return books.values()
def __cmp__(self, other):
- return cmp(self.score, other.score)
+ c = cmp(self.score, other.score)
+ if c == 0:
+ # this is inverted, because earlier date is better
+ return cmp(other.published_date, self.published_date)
+ else:
+ return c
class Hint(object):
return q
def search_phrase(self, searched, field, book=True, max_results=20, fuzzy=False,
- filters=None, tokens_cache=None, boost=None):
+ filters=None, tokens_cache=None, boost=None, snippets=False, slop=2):
if filters is None: filters = []
if tokens_cache is None: tokens_cache = {}
tokens = self.get_tokens(searched, field, cached=tokens_cache)
- query = self.make_phrase(tokens, field=field, fuzzy=fuzzy)
+ query = self.make_phrase(tokens, field=field, fuzzy=fuzzy, slop=slop)
if book:
filters.append(self.term_filter(Term('is_book', 'true')))
top = self.searcher.search(query, self.chain_filters(filters), max_results)
- return [SearchResult(self.searcher, found) for found in top.scoreDocs]
+ return [SearchResult(self, found, snippets=(snippets and self.get_snippets(found, query) or None), searched=searched) for found in top.scoreDocs]
def search_some(self, searched, fields, book=True, max_results=20, fuzzy=False,
- filters=None, tokens_cache=None, boost=None):
+ filters=None, tokens_cache=None, boost=None, snippets=True):
if filters is None: filters = []
if tokens_cache is None: tokens_cache = {}
top = self.searcher.search(query, self.chain_filters(filters), max_results)
- return [SearchResult(self.searcher, found, searched=searched, tokens_cache=tokens_cache) for found in top.scoreDocs]
+ return [SearchResult(self, found, searched=searched, tokens_cache=tokens_cache,
+ snippets=(snippets and self.get_snippets(found, query) or None)) for found in top.scoreDocs]
def search_perfect_book(self, searched, max_results=20, fuzzy=False, hint=None):
"""
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, how_found="search_perfect_book"))
+ books.append(SearchResult(self, found, how_found="search_perfect_book"))
return books
def search_book(self, searched, max_results=20, fuzzy=False, hint=None):
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, how_found="search_book"))
+ books.append(SearchResult(self, found, how_found="search_book"))
return books
flt]),
max_results)
for found in top.scoreDocs:
- books.append(SearchResult(self.searcher, found, snippets=self.get_snippets(found, q), how_found='search_perfect_parts'))
+ books.append(SearchResult(self, found, snippets=self.get_snippets(found, q), how_found='search_perfect_parts'))
return books
topDocs = self.searcher.search(q, only_in, max_results)
for found in topDocs.scoreDocs:
- books.append(SearchResult(self.searcher, found, how_found='search_everywhere_themesXcontent'))
+ books.append(SearchResult(self, found, how_found='search_everywhere_themesXcontent', searched=searched))
print "* %s theme x content: %s" % (searched, books[-1]._hits)
# query themes/content x author/title/tags
topDocs = self.searcher.search(q, only_in, max_results)
for found in topDocs.scoreDocs:
- books.append(SearchResult(self.searcher, found, how_found='search_everywhere'))
+ books.append(SearchResult(self, found, how_found='search_everywhere', searched=searched))
print "* %s scatter search: %s" % (searched, books[-1]._hits)
return books
stored = self.searcher.doc(scoreDoc.doc)
+ position = stored.get('snippets_position')
+ length = stored.get('snippets_length')
+ 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(stored.get('snippets_position')),
- int(stored.get('snippets_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
if terms:
return JArray('object')(terms, Term)
- def search_tags(self, query, filter=None, max_results=40):
+ def search_tags(self, query, filters=None, max_results=40, pdcounter=False):
"""
Search for Tag objects using query.
"""
- tops = self.searcher.search(query, filter, max_results)
+ if not pdcounter:
+ filters = self.chain_filters([filter, self.term_filter(Term('is_pdcounter', 'true'), inverse=True)])
+ tops = self.searcher.search(query, filters, 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)
-
+ 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.
+ 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)
+ # print "%s (%d) -> %f" % (tag, tag.id, found.score)
+ print 'returning %s' % tags
return tags
def search_books(self, query, filter=None, max_results=10):
bks.append(catalogue.models.Book.objects.get(id=doc.get("book_id")))
return bks
- def create_prefix_phrase(self, toks, field):
+ def make_prefix_phrase(self, toks, field):
q = MultiPhraseQuery()
for i in range(len(toks)):
t = Term(field, toks[i])
return only_term
- def hint_tags(self, string, max_results=50):
+ def hint_tags(self, string, max_results=50, pdcounter=True, prefix=True, fuzzy=False):
"""
Return auto-complete hints for tags
using prefix search.
top = BooleanQuery()
for field in ['tag_name', 'tag_name_pl']:
- q = self.create_prefix_phrase(toks, field)
+ if prefix:
+ q = self.make_prefix_phrase(toks, field)
+ else:
+ 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)
+ return self.search_tags(top, no_book_cat, max_results=max_results, pdcounter=pdcounter)
- def hint_books(self, string, max_results=50):
+ 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.
"""
toks = self.get_tokens(string, field='SIMPLE')
- q = self.create_prefix_phrase(toks, 'title')
+ if prefix:
+ q = self.make_prefix_phrase(toks, 'title')
+ else:
+ 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