# This file is part of Wolnelektury, licensed under GNU Affero GPLv3 or later.
# Copyright © Fundacja Nowoczesna Polska. See NOTICE for more information.
#
-import cPickle
+import pickle
+from pickle import PickleError
from datetime import datetime
from random import randint
-from StringIO import StringIO
from django.core.files.base import ContentFile
from django.db import models
try:
f = open(settings.LESMIANATOR_PICKLE)
- global_dictionary = cPickle.load(f)
+ global_dictionary = pickle.load(f)
f.close()
- except:
+ except (IOError, AttributeError, PickleError):
global_dictionary = {}
def visit(self):
self.seen_at = datetime.utcnow().replace(tzinfo=utc)
self.save()
- def __unicode__(self):
+ def __str__(self):
return "%s (%s...)" % (self.slug, self.text[:20])
@staticmethod
class Meta:
unique_together = (('content_type', 'object_id'), )
- def __unicode__(self):
- return "Continuations for: %s" % unicode(self.content_object)
+ def __str__(self):
+ return "Continuations for: %s" % str(self.content_object)
@staticmethod
def join_conts(a, b):
@classmethod
def for_book(cls, book, length=3):
# count from this book only
- output = StringIO()
wldoc = book.wldocument(parse_dublincore=False)
- output = wldoc.as_text(('raw-text',)).get_string()
+ output = wldoc.as_text(('raw-text',)).get_bytes()
del wldoc
conts = {}
@classmethod
def get(cls, sth):
object_type = ContentType.objects.get_for_model(sth)
- should_keys = set([sth.id])
+ should_keys = {sth.id}
if isinstance(sth, Tag):
should_keys = set(b.pk for b in Book.tagged.with_any((sth,)).iterator())
try:
if not obj.pickle:
raise cls.DoesNotExist
f = open(obj.pickle.path)
- keys, conts = cPickle.load(f)
+ keys, conts = pickle.load(f)
f.close()
if set(keys) != should_keys:
raise cls.DoesNotExist
raise NotImplementedError('Lesmianator continuations: only Book and Tag supported')
c, created = cls.objects.get_or_create(content_type=object_type, object_id=sth.id)
- c.pickle.save(sth.slug+'.p', ContentFile(cPickle.dumps((should_keys, conts))))
+ c.pickle.save(sth.slug+'.p', ContentFile(pickle.dumps((should_keys, conts))))
c.save()
return conts
-
-