from librarian.parser import WLDocument
from lxml import etree
import catalogue.models
+from pdcounter.models import Author as PDCounterAuthor
from multiprocessing.pool import ThreadPool
from threading import current_thread
import atexit
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", 'pdcounter', Field.Store.NO, 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.
footnote_tags = ['pa', 'pt', 'pr', 'pe']
- skip_header_tags = ['autor_utworu', 'nazwa_utworu', 'dzielo_nadrzedne']
+ 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]+)[\]. ]*$")
(dt.year, dt.month, dt.day), Field.Store.NO, Field.Index.NOT_ANALYZED)
# get published date
- source = book_info.source_name
- match = self.published_date_re.search(source)
- print("published date is %s %s" % (match, match is not None and match.groups()))
- if match is not None:
- fields["published_date"] = Field("published_date", str(match.groups()[0]), Field.Store.YES, Field.Index.NOT_ANALYZED)
+ 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
return []
def walker(node, ignore_tags=[]):
- yield node, None
- for child in filter(lambda n: n.tag not in ignore_tags, list(node)):
- for b, e in walker(child):
- yield b, e
- yield None, node
+
+ 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):
fragments = {}
snippets = Snippets(book.id).open('w')
- position = 0
try:
- for header in list(master):
+ for header, position in zip(list(master), range(len(master))):
if header.tag in self.skip_header_tags:
continue
# section content
content = []
- footnote = None
+ footnote = []
+
+ def all_content(text):
+ for frag in fragments.values():
+ frag['content'].append(text)
+ content.append(text)
+ handle_text = [all_content]
+
- for start, end in walker(header, ignore_tags=self.ignore_content_tags):
+ 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 = ' '.join(start.itertext())
- elif end is not None and footnote is not None and end.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=footnote)
-
+ content=u''.join(footnote),
+ is_footnote=Field("is_footnote", 'true', Field.Store.NO, Field.Index.NOT_ANALYZED))
+
self.index.addDocument(doc)
-
- footnote = None
-
+ #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.
fragment_anchor=fid,
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(content))
+ #print '@ CONTENT: %s' % fix_format(content)
self.index.addDocument(doc)
- position += 1
finally:
snippets.close()
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
-
- 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")
-
pd = stored.get("published_date")
if pd is None:
- print "published_date is none for book %d" % self.book_id
pd = 0
self.published_date = int(pd)
- if snippets:
- snippets = snippets.replace("/\n", "\n")
- hit = (sec + (header_span,), fragment, scoreDocs.score, {'how_found': how_found, 'snippets': snippets and [snippets] or []})
+ 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")
- self._hits.append(hit)
+ 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.search = search
self.searched = searched
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):
tokens = self.search.get_tokens(self.searched, 'POLISH', cached=self.tokens_cache)
for theme in themes:
name_tokens = self.search.get_tokens(theme.name, 'POLISH')
- print "THEME HIT: %s in %s" % (tokens, name_tokens)
for t in tokens:
if t in name_tokens:
if not theme in themes_hit:
return q
def search_phrase(self, searched, field, book=True, max_results=20, fuzzy=False,
- filters=None, tokens_cache=None, boost=None, snippets=False):
+ 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, 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, found, searched=searched, tokens_cache=tokens_cache,
- snippets=self.get_snippets(found, query)) for found in top.scoreDocs]
+ 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):
"""
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')
+ if is_pdcounter:
+ tag = PDCounterAuthor.objects.get(id=doc.get('tag_id'))
+ 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):
"""
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)
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):
"""
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')
return self.search_books(q, self.term_filter(Term("is_book", "true")), max_results=max_results)
fnp / wolnelektury.git / blobdiff