NumericField, Version, Document, JavaError, IndexSearcher, \
QueryParser, PerFieldAnalyzerWrapper, \
SimpleAnalyzer, PolishAnalyzer, ArrayList, \
- KeywordAnalyzer, NumericRangeQuery, BooleanQuery, \
- BlockJoinQuery, BlockJoinCollector, TermsFilter, \
+ KeywordAnalyzer, NumericRangeQuery, NumericRangeFilter, BooleanQuery, \
+ BlockJoinQuery, BlockJoinCollector, Filter, TermsFilter, ChainedFilter, \
HashSet, BooleanClause, Term, CharTermAttribute, \
- PhraseQuery, MultiPhraseQuery, StringReader, TermQuery, BlockJoinQuery, \
+ PhraseQuery, MultiPhraseQuery, StringReader, TermQuery, \
FuzzyQuery, FuzzyTermEnum, PrefixTermEnum, Sort, Integer, \
SimpleHTMLFormatter, Highlighter, QueryScorer, TokenSources, TextFragment, \
BooleanFilter, TermsFilter, FilterClause, QueryWrapperFilter, \
import errno
from librarian import dcparser
from librarian.parser import WLDocument
-from catalogue import models
+import catalogue.models
from multiprocessing.pool import ThreadPool
from threading import current_thread
import atexit
class WLAnalyzer(PerFieldAnalyzerWrapper):
def __init__(self):
polish = PolishAnalyzer(Version.LUCENE_34)
- polish_gap = PolishAnalyzer(Version.LUCENE_34)
# polish_gap.setPositionIncrementGap(999)
simple = SimpleAnalyzer(Version.LUCENE_34)
- simple_gap = SimpleAnalyzer(Version.LUCENE_34)
# simple_gap.setPositionIncrementGap(999)
keyword = KeywordAnalyzer(Version.LUCENE_34)
PerFieldAnalyzerWrapper.__init__(self, polish)
- self.addAnalyzer("tags", simple_gap)
+ self.addAnalyzer("tags", simple)
self.addAnalyzer("technical_editors", simple)
self.addAnalyzer("editors", simple)
self.addAnalyzer("url", keyword)
self.addAnalyzer("source_url", keyword)
self.addAnalyzer("source_name", simple)
self.addAnalyzer("publisher", simple)
- self.addAnalyzer("author", simple)
+ self.addAnalyzer("authors", simple)
self.addAnalyzer("is_book", keyword)
+ # shouldn't the title have two forms? _pl and simple?
- self.addAnalyzer("themes", simple_gap)
- self.addAnalyzer("themes_pl", polish_gap)
+ self.addAnalyzer("themes", simple)
+ self.addAnalyzer("themes_pl", polish)
- self.addAnalyzer("tag_name", simple_gap)
- self.addAnalyzer("tag_name_pl", polish_gap)
+ self.addAnalyzer("tag_name", simple)
+ self.addAnalyzer("tag_name_pl", polish)
+
+ self.addAnalyzer("translators", simple)
self.addAnalyzer("KEYWORD", keyword)
self.addAnalyzer("SIMPLE", simple)
return self
def add(self, snippet):
- l = len(snippet)
- self.file.write(snippet.encode('utf-8'))
+ txt = snippet.encode('utf-8')
+ l = len(txt)
+ self.file.write(txt)
pos = (self.position, l)
self.position += l
return pos
def get(self, pos):
self.file.seek(pos[0], 0)
- return self.read(pos[1]).decode('utf-8')
+ txt = self.file.read(pos[1]).decode('utf-8')
+ return txt
def close(self):
self.file.close()
q = NumericRangeQuery.newIntRange("tag_id", 0, Integer.MAX_VALUE, True, True)
self.index.deleteDocuments(q)
- for tag in models.Tag.objects.all():
+ for tag in catalogue.models.Tag.objects.all():
doc = Document()
doc.add(NumericField("tag_id", Field.Store.YES, True).setIntValue(tag.id))
doc.add(Field("tag_name", tag.name, Field.Store.NO, Field.Index.ANALYZED))
q = NumericRangeQuery.newIntRange("book_id", book.id, book.id, True, True)
self.index.deleteDocuments(q)
- def index_book(self, book, overwrite=True):
+ def index_book(self, book, book_info=None, overwrite=True):
if overwrite:
self.remove_book(book)
book_doc = self.create_book_doc(book)
- meta_fields = self.extract_metadata(book)
+ meta_fields = self.extract_metadata(book, book_info)
for f in meta_fields.values():
- if isinstance(f, list):
+ if isinstance(f, list) or isinstance(f, tuple):
for elem in f:
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['author']])
+ self.index_content(book, book_fields=[meta_fields['title'], meta_fields['authors']])
master_tags = [
'opowiadanie',
doc.add(NumericField("parent_id", Field.Store.YES, True).setIntValue(book.parent.id))
return doc
- def extract_metadata(self, book):
+ def extract_metadata(self, book, book_info=None):
fields = {}
- book_info = dcparser.parse(book.xml_file)
- print("extract metadata for book %s id=%d, thread%d" % (book.slug, book.id, current_thread().ident))
+ if book_info is None:
+ book_info = dcparser.parse(open(book.xml_file.path))
fields['slug'] = Field("slug", book.slug, Field.Store.NO, Field.Index.ANALYZED_NO_NORMS)
- fields['tags'] = [Field("tags", t.name, Field.Store.NO, Field.Index.ANALYZED) for t in book.tags]
+ fields['tags'] = self.add_gaps([Field("tags", t.name, Field.Store.NO, Field.Index.ANALYZED) for t in book.tags], 'tags')
fields['is_book'] = Field("is_book", 'true', Field.Store.NO, Field.Index.NOT_ANALYZED)
# validator, name
dt = getattr(book_info, field.name)
fields[field.name] = Field(field.name, "%04d%02d%02d" %\
(dt.year, dt.month, dt.day), Field.Store.NO, Field.Index.NOT_ANALYZED)
+
return fields
def get_master(self, root):
if master.tag in self.master_tags:
return master
+ def add_gaps(self, fields, fieldname):
+ def gap():
+ while True:
+ yield Field(fieldname, ' ', Field.Store.NO, Field.Index.NOT_ANALYZED)
+ return reduce(lambda a, b: a + b, zip(fields, gap()))[0:-1]
+
def index_content(self, book, book_fields=[]):
- wld = WLDocument.from_file(book.xml_file.path)
+ wld = WLDocument.from_file(book.xml_file.path, parse_dublincore=False)
root = wld.edoc.getroot()
master = self.get_master(root)
doc.add(Field('content', fields["content"], Field.Store.NO, Field.Index.ANALYZED, \
Field.TermVector.WITH_POSITIONS_OFFSETS))
- snip_pos = snippets.add(content)
+ 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 'fragment_anchor' in fields:
doc.add(Field("fragment_anchor", fields['fragment_anchor'],
Field.Store.YES, Field.Index.NOT_ANALYZED))
-
+
if 'themes' in fields:
- for theme in fields['themes']:
- doc.add(Field("themes", theme, Field.Store.YES, Field.Index.ANALYZED, Field.TermVector.WITH_POSITIONS))
- doc.add(Field("themes_pl", theme, Field.Store.NO, Field.Index.ANALYZED, Field.TermVector.WITH_POSITIONS))
+ themes, themes_pl = zip(*[
+ (Field("themes", theme, Field.Store.YES, Field.Index.ANALYZED, Field.TermVector.WITH_POSITIONS),
+ Field("themes_pl", theme, Field.Store.NO, Field.Index.ANALYZED, Field.TermVector.WITH_POSITIONS))
+ for theme in fields['themes']])
+
+ themes = self.add_gaps(themes, 'themes')
+ themes_pl = self.add_gaps(themes_pl, 'themes_pl')
+
+ for t in themes:
+ doc.add(t)
+ for t in themes_pl:
+ doc.add(t)
return doc
+ def give_me_utf8(s):
+ if isinstance(s, unicode):
+ return s.encode('utf-8')
+ else:
+ return s
+
+
fragments = {}
snippets = Snippets(book.id).open('w')
try:
self.index.addDocument(doc)
- for start, end in walker(master):
+ for start, end in walker(header):
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}
fragments[fid]['content'].append(start.tail)
elif start is not None and start.tag == 'motyw':
fid = start.attrib['id'][1:]
- fragments[fid]['themes'].append(start.text)
+ if start.text is not None:
+ fragments[fid]['themes'] += map(str.strip, map(give_me_utf8, start.text.split(',')))
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]
+ if frag['themes'] == []:
+ continue # empty themes list.
del fragments[fid]
def jstr(l):
bks = []
for found in tops.scoreDocs:
doc = self.searcher.doc(found.doc)
- bks.append(models.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"])
bks = []
for found in tops.scoreDocs:
doc = self.searcher.doc(found.doc)
- bks.append(models.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 bsearch(self, query, max_results=50):
bks = []
for found in tops.scoreDocs:
doc = self.searcher.doc(found.doc)
- bks.append(models.Book.objects.get(id=doc.get("book_id")))
+ bks.append(catalogue.models.Book.objects.get(id=doc.get("book_id")))
return (bks, tops.totalHits)
# TokenStream tokenStream = analyzer.tokenStream(fieldName, reader);
class SearchResult(object):
- def __init__(self, searcher, scoreDocs, score=None, how_found=None, snippets_cb=None):
+ def __init__(self, searcher, scoreDocs, score=None, how_found=None, snippets=None):
+ self.snippets = []
+
if score:
self.score = score
else:
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
- stored = searcher.doc(scoreDocs.doc)
- self.book_id = int(stored.get("book_id"))
fragment = stored.get("fragment_anchor")
- hit = (sec + (header_span,), fragment, scoreDocs.score, {'how_found': how_found, 'snippets_cb': snippets_cb})
+ hit = (sec + (header_span,), fragment, scoreDocs.score, {'how_found': how_found, 'snippets': snippets})
self.hits.append(hit)
self.score = other.score
return self
- def add_snippets(self, snippets):
- self.snippets += snippets
- return self
-
def get_book(self):
- return models.Book.objects.get(id=self.book_id)
+ return catalogue.models.Book.objects.get(id=self.book_id)
book = property(get_book)
- def get_parts(self):
- book = self.book
+ def process_hits(self):
+ frags = filter(lambda r: r[1] is not None, self.hits)
+ sect = filter(lambda r: r[1] is None, self.hits)
+ sect = filter(lambda s: 0 == len(filter(
+ lambda f: s[0][1] >= f[0][1] and s[0][1] < f[0][1] + f[0][2],
+ frags)), sect)
+
+ hits = []
- def sections_covered(results):
- frags = filter(lambda r: r[1] is not None, results)
- sect = filter(lambda r: r[1] is None, results)
- sect = filter(lambda s: 0 == len(filter(
- lambda f: s[0][1] >= f[0][1] and s[0][1] < f[0][1] + f[0][2],
- frags)), sect)
- print "filtered, non overlapped sections: %s" % sect
- return frags + sect
-
-
- parts = [{"header": s[0], "position": s[1], '_score_key': s} for s in self.sections] \
- + [{"fragment": book.fragments.get(anchor=f), '_score_key':f} for f in self.fragments]
+ for s in sect:
+ m = {'score': s[2],
+ 'header_index': s[0][1]
+ }
+ m.update(s[3])
+ hits.append(m)
- parts.sort(lambda a, b: cmp(self.scores[a['_score_key']], self.scores[b['_score_key']]))
- print("bookid: %d parts: %s" % (self.book_id, parts))
- return parts
+ for f in frags:
+ frag = catalogue.models.Fragment.objects.get(anchor=f[1])
+ m = {'score': f[2],
+ 'fragment': frag,
+ 'themes': frag.tags.filter(category='theme')
+ }
+ m.update(f[3])
+ hits.append(m)
- parts = property(get_parts)
+ hits.sort(lambda a, b: cmp(a['score'], b['score']), reverse=True)
+ print("--- %s" % hits)
+
+ return hits
def __unicode__(self):
return u'SearchResult(book_id=%d, score=%d)' % (self.book_id, self.score)
return cmp(self.score, other.score)
+class Hint(object):
+ def __init__(self, search):
+ self.search = search
+ self.book_tags = {}
+ self.part_tags = []
+ self._books = []
+
+ def books(self, *books):
+ self._books = books
+
+ def tags(self, tags):
+ for t in tags:
+ if t.category in ['author', 'title', 'epoch', 'genre', 'kind']:
+ lst = self.book_tags.get(t.category, [])
+ lst.append(t)
+ self.book_tags[t.category] = lst
+ if t.category in ['theme']:
+ self.part_tags.append(t)
+
+ def tag_filter(self, tags, field='tags'):
+ q = BooleanQuery()
+
+ for tag in tags:
+ toks = self.search.get_tokens(tag.name, field=field)
+ tag_phrase = PhraseQuery()
+ for tok in toks:
+ tag_phrase.add(Term(field, tok))
+ q.add(BooleanClause(tag_phrase, BooleanClause.Occur.MUST))
+
+ return QueryWrapperFilter(q)
+
+ def book_filter(self):
+ tags = reduce(lambda a, b: a + b, self.book_tags.values(), [])
+ if tags:
+ return self.tag_filter(tags)
+ else:
+ return None
+
+ def part_filter(self):
+ fs = []
+ if self.part_tags:
+ fs.append(self.tag_filter(self.part_tags, field='themes'))
+
+ if self._books != []:
+ bf = BooleanFilter()
+ for b in self._books:
+ id_filter = NumericRangeFilter.newIntRange('book_id', b.id, b.id, True, True)
+ bf.add(FilterClause(id_filter, BooleanClause.Occur.SHOULD))
+ fs.append(bf)
+
+ return MultiSearch.chain_filters(fs)
+
+ def should_search_for_book(self):
+ return self._books == []
+
+ def just_search_in(self, all):
+ """Holds logic to figure out which indexes should be search, when we have some hinst already"""
+ some = []
+ for field in all:
+ if field == 'authors' and 'author' in self.book_tags:
+ continue
+ if field == 'title' and self._books != []:
+ continue
+ if (field == 'themes' or field == 'themes_pl') and self.part_tags:
+ continue
+ some.append(field)
+ return some
+
+
class MultiSearch(Search):
"""Class capable of IMDb-like searching"""
def get_tokens(self, searched, field='content'):
q.add(BooleanClause(term, modal))
return q
- def content_query(self, query):
- return BlockJoinQuery(query, self.parent_filter,
- BlockJoinQuery.ScoreMode.Total)
+ # def content_query(self, query):
+ # return BlockJoinQuery(query, self.parent_filter,
+ # BlockJoinQuery.ScoreMode.Total)
- def search_perfect_book(self, searched, max_results=20, fuzzy=False):
- qrys = [self.make_phrase(self.get_tokens(searched, field=fld), field=fld, fuzzy=fuzzy) for fld in ['author', 'title']]
+ def search_perfect_book(self, searched, max_results=20, fuzzy=False, hint=None):
+ fields_to_search = ['authors', 'title']
+ only_in = None
+ if hint:
+ if not hint.should_search_for_book():
+ return []
+ fields_to_search = hint.just_search_in(fields_to_search)
+ only_in = hint.book_filter()
+
+ qrys = [self.make_phrase(self.get_tokens(searched, field=fld), field=fld, fuzzy=fuzzy) for fld in fields_to_search]
books = []
for q in qrys:
- top = self.searcher.search(q, max_results)
+ top = self.searcher.search(q,
+ 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))
return books
- def search_perfect_parts(self, searched, max_results=20, fuzzy=False):
+ def search_perfect_parts(self, searched, max_results=20, fuzzy=False, hint=None):
qrys = [self.make_phrase(self.get_tokens(searched), field=fld, fuzzy=fuzzy) for fld in ['content']]
+ flt = None
+ if hint:
+ flt = hint.part_filter()
+
books = []
for q in qrys:
- top = self.searcher.search(q, max_results)
+ top = self.searcher.search(q,
+ self.chain_filters([self.term_filter(Term('is_book', 'true'), inverse=True),
+ flt
+ ]),
+ max_results)
for found in top.scoreDocs:
- books.append(SearchResult(self.searcher, found).add_snippets(self.get_snippets(found, q)))
+ books.append(SearchResult(self.searcher, found, snippets=self.get_snippets(found, q)))
return books
- def search_everywhere(self, searched, max_results=20, fuzzy=False):
+ def search_everywhere(self, searched, max_results=20, fuzzy=False, hint=None):
books = []
+ only_in = None
+
+ if hint:
+ only_in = hint.part_filter()
# content only query : themes x content
q = BooleanQuery()
tokens = self.get_tokens(searched)
- q.add(BooleanClause(self.make_term_query(tokens, field='themes', fuzzy=fuzzy), BooleanClause.Occur.MUST))
- q.add(BooleanClause(self.make_term_query(tokens, field='content', fuzzy=fuzzy), BooleanClause.Occur.SHOULD))
+ if hint is None or hint.just_search_in(['themes_pl']) != []:
+ q.add(BooleanClause(self.make_term_query(tokens, field='themes_pl',
+ fuzzy=fuzzy), BooleanClause.Occur.MUST))
+
+ q.add(BooleanClause(self.make_term_query(tokens, field='content',
+ fuzzy=fuzzy), BooleanClause.Occur.SHOULD))
- topDocs = self.searcher.search(q, max_results)
+ topDocs = self.searcher.search(q, only_in, max_results)
for found in topDocs.scoreDocs:
books.append(SearchResult(self.searcher, found))
- # joined query themes/content x author/title/epochs/genres/kinds
- # q = BooleanQuery()
- # in_meta = BooleanQuery()
- # in_content = BooleanQuery()
-
- # for fld in ['themes', 'content']:
- # in_content.add(BooleanClause(self.make_term_query(tokens, field=fld, fuzzy=False), BooleanClause.Occur.SHOULD))
-
- # in_meta.add(BooleanClause(self.make_term_query(
- # self.get_tokens(searched, field='author'), field='author', fuzzy=fuzzy), BooleanClause.Occur.SHOULD))
-
- # for fld in ['title', 'epochs', 'genres', 'kinds']:
- # in_meta.add(BooleanClause(self.make_term_query(tokens, field=fld, fuzzy=fuzzy), BooleanClause.Occur.SHOULD))
+ # query themes/content x author/title/tags
+ q = BooleanQuery()
+ # in_meta = BooleanQuery()
+ in_content = BooleanQuery()
- # 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))
- # # import pdb; pdb.set_trace()
- # collector = BlockJoinCollector(Sort.RELEVANCE, 100, True, True)
+ for fld in ['themes', 'content', 'tags', 'authors', 'title']:
+ in_content.add(BooleanClause(self.make_term_query(tokens, field=fld, fuzzy=False), BooleanClause.Occur.SHOULD))
- # self.searcher.search(q, collector)
+ topDocs = self.searcher.search(q, only_in, max_results)
+ for found in topDocs.scoreDocs:
+ books.append(SearchResult(self.searcher, found))
- # top_groups = collector.getTopGroups(in_content_join, Sort.RELEVANCE, 0, max_results, 0, True)
- # if top_groups:
- # for grp in top_groups.groups:
- # for part in grp.scoreDocs:
- # books.append(SearchResult(self.searcher, part, score=grp.maxScore))
return books
def multisearch(self, query, max_results=50):
Search strategy:
- (phrase) OR -> content
-> title
- -> author
- - (keywords) -> author
+ -> authors
+ - (keywords) -> authors
-> motyw
-> tags
-> content
bks = []
for found in tops.scoreDocs:
doc = self.searcher.doc(found.doc)
- b = models.Book.objects.get(id=doc.get("book_id"))
+ 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
# locate content.
snippets = Snippets(stored.get('book_id')).open()
try:
- text = snippets.get(stored.get('snippets_position'), stored.get('snippets_length'))
+ text = snippets.get((int(stored.get('snippets_position')),
+ int(stored.get('snippets_length'))))
finally:
snippets.close()
tokenStream = TokenSources.getAnyTokenStream(self.searcher.getIndexReader(), scoreDoc.doc, field, self.analyzer)
# highlighter.getBestTextFragments(tokenStream, text, False, 10)
+ # import pdb; pdb.set_trace()
snip = highlighter.getBestFragments(tokenStream, text, 3, "...")
- print('snips: %s' % snip)
return [snip]
tags = []
for found in tops.scoreDocs:
doc = self.searcher.doc(found.doc)
- tag = models.Tag.objects.get(id=doc.get("tag_id"))
+ tag = catalogue.models.Tag.objects.get(id=doc.get("tag_id"))
tags.append(tag)
print "%s (%d) -> %f" % (tag, tag.id, found.score)
return tags
+ def search_books(self, query, filter=None, max_results=10):
+ bks = []
+ 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")))
+ return bks
+
def create_prefix_phrase(self, toks, field):
q = MultiPhraseQuery()
for i in range(len(toks)):
q.add(t)
return q
+ @staticmethod
+ def term_filter(term, inverse=False):
+ only_term = TermsFilter()
+ only_term.addTerm(term)
+
+ if inverse:
+ neg = BooleanFilter()
+ neg.add(FilterClause(only_term, BooleanClause.Occur.MUST_NOT))
+ only_term = neg
+
+ return only_term
+
def hint_tags(self, string, max_results=50):
toks = self.get_tokens(string, field='SIMPLE')
top = BooleanQuery()
q = self.create_prefix_phrase(toks, field)
top.add(BooleanClause(q, BooleanClause.Occur.SHOULD))
- book_cat = TermsFilter()
- book_cat.addTerm(Term("tag_category", "book"))
-
- no_book_cat = BooleanFilter()
- no_book_cat.add(FilterClause(book_cat, BooleanClause.Occur.MUST_NOT))
+ no_book_cat = self.term_filter(Term("tag_category", "book"), inverse=True)
return self.search_tags(top, no_book_cat, max_results=max_results)
toks = self.get_tokens(string, field='SIMPLE')
q = self.create_prefix_phrase(toks, 'title')
- only_books = TermsFilter()
- only_books.addTerm(Term("is_book", "true"))
-
- return self.book_search(q, only_books, max_results=max_results)
- def filter_by_tags(self, tags):
- q = BooleanQuery()
-
- for tag in tags:
- toks = self.get_tokens(tag.name, field='tags')
- tag_phrase = PhraseQuery()
- for tok in toks:
- tag_phrase.add(tok)
- q.add(BooleanClause(tok, BooleanClause.Occur.MUST))
+ return self.book_search(q, self.term_filter(Term("is_book", "true")), max_results=max_results)
- return QueryWrapperFilter(q)
+ @staticmethod
+ def chain_filters(filters, op=ChainedFilter.AND):
+ filters = filter(lambda x: x is not None, filters)
+ if not filters:
+ return None
+ chf = ChainedFilter(JArray('object')(filters, Filter), op)
+ return chf
def filtered_categories(self, tags):
cats = {}
for t in tags:
cats[t.category] = True
return cats.keys()
+
+ def hint(self):
+ return Hint(self)
fnp / wolnelektury.git / blobdiff