def _restore(self, obj):
if has_tag(obj, tags.ID):
restore = self._restore_id
elif has_tag(obj, tags.REF): # Backwards compatibility
restore = self._restore_ref
elif has_tag(obj, tags.ITERATOR):
restore = self._restore_iterator
elif has_tag(obj, tags.TYPE):
restore = self._restore_type
elif has_tag(obj, tags.REPR): # Backwards compatibility
restore = self._restore_repr
elif has_tag(obj, tags.REDUCE):
restore = self._restore_reduce
elif has_tag(obj, tags.OBJECT):
restore = self._restore_object
elif has_tag(obj, tags.FUNCTION):
restore = self._restore_function
elif util.is_list(obj):
restore = self._restore_list
elif has_tag(obj, tags.TUPLE):
restore = self._restore_tuple
elif has_tag(obj, tags.SET):
restore = self._restore_set
elif util.is_dictionary(obj):
restore = self._restore_dict
else:
restore = lambda x: x
return restore(obj)
def _restore(self, obj):
if has_tag(obj, tags.ID):
restore = self._restore_id
elif has_tag(obj, tags.REF): # Backwards compatibility
restore = self._restore_ref
elif has_tag(obj, tags.TYPE):
restore = self._restore_type
elif has_tag(obj, tags.REPR): # Backwards compatibility
restore = self._restore_repr
elif has_tag(obj, tags.OBJECT):
restore = self._restore_object
elif util.is_list(obj):
restore = self._restore_list
elif has_tag(obj, tags.TUPLE):
restore = self._restore_tuple
elif has_tag(obj, tags.SET):
restore = self._restore_set
elif util.is_dictionary(obj):
restore = self._restore_dict
else:
restore = lambda x: x
try:
return restore(obj)
except IndexError as e:
raise e # for testing
def _restore(self, obj):
if has_tag(obj, tags.B64):
restore = self._restore_base64
elif has_tag(obj, tags.BYTES): # Backwards compatibility
restore = self._restore_quopri
elif has_tag(obj, tags.ID):
restore = self._restore_id
elif has_tag(obj, tags.REF): # Backwards compatibility
restore = self._restore_ref
elif has_tag(obj, tags.ITERATOR):
restore = self._restore_iterator
elif has_tag(obj, tags.TYPE):
restore = self._restore_type
elif has_tag(obj, tags.REPR): # Backwards compatibility
restore = self._restore_repr
elif has_tag(obj, tags.REDUCE):
restore = self._restore_reduce
elif has_tag(obj, tags.OBJECT):
restore = self._restore_object
elif has_tag(obj, tags.FUNCTION):
restore = self._restore_function
elif util.is_list(obj):
restore = self._restore_list
elif has_tag(obj, tags.TUPLE):
restore = self._restore_tuple
elif has_tag(obj, tags.SET):
restore = self._restore_set
elif util.is_dictionary(obj):
restore = self._restore_dict
else:
restore = lambda x: x
return restore(obj)
def _restore(self, obj):
if has_tag(obj, tags.ID):
restore = self._restore_id
elif has_tag(obj, tags.REF): # Backwards compatibility
restore = self._restore_ref
elif has_tag(obj, tags.TYPE):
restore = self._restore_type
elif has_tag(obj, tags.REPR): # Backwards compatibility
restore = self._restore_repr
elif has_tag(obj, tags.OBJECT):
restore = self._restore_object
elif util.is_list(obj):
restore = self._restore_list
elif has_tag(obj, tags.TUPLE):
restore = self._restore_tuple
elif has_tag(obj, tags.SET):
restore = self._restore_set
elif util.is_dictionary(obj):
restore = self._restore_dict
else:
restore = lambda x: x
try:
return restore(obj)
except IndexError as e:
raise e # for testing
def _restore(self, obj, cls=None):
restore = None
# Try and restore from an explicit class
if cls is not None:
if util.is_type(cls):
restore = self._restore_object_from_cls
elif util.is_list(cls):
restore = self._restore_list_from_cls
elif util.is_dictionary(cls):
restore = self._restore_dict_from_cls
if restore is not None:
return restore(obj, cls)
# Try and restore from present tags
if has_tag(obj, tags.B64):
restore = self._restore_base64
elif has_tag(obj, tags.BYTES): # Backwards compatibility
restore = self._restore_quopri
elif has_tag(obj, tags.ID):
restore = self._restore_id
elif has_tag(obj, tags.REF): # Backwards compatibility
restore = self._restore_ref
elif has_tag(obj, tags.ITERATOR):
restore = self._restore_iterator
elif has_tag(obj, tags.TYPE):
restore = self._restore_type
elif has_tag(obj, tags.REPR): # Backwards compatibility
restore = self._restore_repr
elif has_tag(obj, tags.REDUCE):
restore = self._restore_reduce
elif has_tag(obj, tags.OBJECT):
restore = self._restore_object_given_tag
elif has_tag(obj, tags.FUNCTION):
restore = self._restore_function
elif util.is_list(obj):
restore = self._restore_list_given_tag
elif has_tag(obj, tags.TUPLE):
restore = self._restore_tuple
elif has_tag(obj, tags.SET):
restore = self._restore_set
elif util.is_dictionary(obj):
restore = self._restore_dict_given_tag
else:
restore = lambda x: x
return restore(obj)
def _loadfactory(self, obj):
if not util.is_dictionary(obj):
return None
try:
default_factory = obj['default_factory']
except KeyError:
return None
del obj['default_factory']
return self._restore(default_factory)
def _get_flattener(self, obj):
if PY2 and isinstance(obj, file):
return self._flatten_file
if util.is_primitive(obj):
return lambda obj: obj
if util.is_bytes(obj):
return self._flatten_bytestring
list_recurse = self._list_recurse
if util.is_list(obj):
if self._mkref(obj):
return list_recurse
else:
self._push()
return self._getref
# We handle tuples and sets by encoding them in a "(tuple|set)dict"
if util.is_tuple(obj):
if not self.unpicklable:
return list_recurse
return lambda obj: {tags.TUPLE: [self._flatten(v) for v in obj]}
if util.is_set(obj):
if not self.unpicklable:
return list_recurse
return lambda obj: {tags.SET: [self._flatten(v) for v in obj]}
if util.is_dictionary(obj):
return self._flatten_dict_obj
if util.is_type(obj):
return _mktyperef
if util.is_object(obj):
return self._ref_obj_instance
if util.is_module_function(obj):
return self._flatten_function
# instance methods, lambdas, old style classes...
self._pickle_warning(obj)
return None
def _get_flattener(self, obj):
if PY2 and isinstance(obj, file):
return self._flatten_file
if util.is_primitive(obj):
return lambda obj: obj
if util.is_bytes(obj):
return self._flatten_bytestring
list_recurse = self._list_recurse
if util.is_list(obj):
if self._mkref(obj):
return list_recurse
else:
self._push()
return self._getref
# We handle tuples and sets by encoding them in a "(tuple|set)dict"
if util.is_tuple(obj):
if not self.unpicklable:
return list_recurse
return lambda obj: {tags.TUPLE: [self._flatten(v) for v in obj]}
if util.is_set(obj):
if not self.unpicklable:
return list_recurse
return lambda obj: {tags.SET: [self._flatten(v) for v in obj]}
if util.is_dictionary(obj):
return self._flatten_dict_obj
if util.is_type(obj):
return _mktyperef
if util.is_object(obj):
return self._ref_obj_instance
if util.is_module_function(obj):
return self._flatten_function
# instance methods, lambdas, old style classes...
self._pickle_warning(obj)
return None
def _restore_object_from_cls(self, obj, cls=None):
if not util.is_dictionary(obj):
# Type mismatch. cls is a type but we didn't get a dict
# from JSON. Return None.
return None
handler = handlers.get(cls)
if handler is not None: # custom handler
proxy = _Proxy()
self._mkref(proxy)
instance = handler(self).restore(obj)
proxy.reset(instance)
self._swapref(proxy, instance)
return instance
if cls is None:
return self._mkref(obj)
return self._restore_object_instance(obj, cls)
def _get_flattener(self, obj):
if util.is_primitive(obj):
return lambda obj: obj
list_recurse = self._list_recurse
if util.is_list(obj):
if self._mkref(obj):
return list_recurse
else:
self._push()
return self._getref
# We handle tuples and sets by encoding them in a "(tuple|set)dict"
if util.is_tuple(obj):
if not self.unpicklable:
return list_recurse
return lambda obj: {tags.TUPLE: [self._flatten(v) for v in obj]}
if util.is_set(obj):
if not self.unpicklable:
return list_recurse
return lambda obj: {tags.SET: [self._flatten(v) for v in obj]}
if util.is_dictionary(obj):
return self._flatten_dict_obj
if util.is_type(obj):
return _mktyperef
if util.is_object(obj):
return self._ref_obj_instance
# else, what else? (methods, functions, old style classes...)
return None
def _get_flattener(self, obj):
if util.is_primitive(obj):
return lambda obj: obj
list_recurse = self._list_recurse
if util.is_list(obj):
if self._mkref(obj):
return list_recurse
else:
self._push()
return self._getref
# We handle tuples and sets by encoding them in a "(tuple|set)dict"
if util.is_tuple(obj):
if not self.unpicklable:
return list_recurse
return lambda obj: {tags.TUPLE: [self._flatten(v) for v in obj]}
if util.is_set(obj):
if not self.unpicklable:
return list_recurse
return lambda obj: {tags.SET: [self._flatten(v) for v in obj]}
if util.is_dictionary(obj):
return self._flatten_dict_obj
if util.is_type(obj):
return _mktyperef
if util.is_object(obj):
return self._ref_obj_instance
# else, what else? (methods, functions, old style classes...)
return None
def test_is_dictionary_primitive(self):
self.assertFalse(is_dictionary(int()))
self.assertFalse(is_dictionary(None))
self.assertFalse(is_dictionary(str()))
def test_is_dicitonary_sequences(self):
self.assertFalse(is_dictionary([]))
self.assertFalse(is_dictionary(set()))
def test_is_dictionary_tuple(self):
self.assertFalse(is_dictionary(tuple()))
def restore(self, obj):
"""Restores a flattened object to its original python state.
Simply returns any of the basic builtin types
>>> u = Unpickler()
>>> u.restore('hello world')
'hello world'
>>> u.restore({'key': 'value'})
{'key': 'value'}
"""
self._push()
if has_tag(obj, tags.ID):
return self._pop(self._objs[obj[tags.ID]])
# Backwards compatibility
if has_tag(obj, tags.REF):
return self._pop(self._namedict.get(obj[tags.REF]))
if has_tag(obj, tags.TYPE):
typeref = loadclass(obj[tags.TYPE])
if not typeref:
return self._pop(obj)
return self._pop(typeref)
# Backwards compatibility
if has_tag(obj, tags.REPR):
obj = loadrepr(obj[tags.REPR])
return self._pop(self._mkref(obj))
if has_tag(obj, tags.OBJECT):
cls = loadclass(obj[tags.OBJECT])
if not cls:
return self._pop(self._mkref(obj))
# check custom handlers
HandlerClass = handlers.BaseHandler._registry.get(cls)
if HandlerClass:
handler = HandlerClass(self)
instance = handler.restore(obj)
return self._pop(self._mkref(instance))
factory = loadfactory(obj)
args = getargs(obj)
if args:
args = self.restore(args)
try:
if hasattr(cls, '__new__'):
# new style classes
if factory:
instance = cls.__new__(cls, factory, *args)
instance.default_factory = factory
else:
instance = cls.__new__(cls, *args)
else:
instance = object.__new__(cls)
except TypeError:
# old-style classes
try:
instance = cls()
except TypeError:
# fail gracefully if the constructor requires arguments
return self._pop(self._mkref(obj))
# Add to the instance table to allow being referenced by a
# downstream object
self._mkref(instance)
if isinstance(instance, tuple):
return self._pop(instance)
if hasattr(instance, '__setstate__') and has_tag(obj, tags.STATE):
state = self.restore(obj[tags.STATE])
instance.__setstate__(state)
return self._pop(instance)
for k, v in sorted(obj.items(), key=operator.itemgetter(0)):
# ignore the reserved attribute
if k in tags.RESERVED:
continue
self._namestack.append(k)
# step into the namespace
value = self.restore(v)
if (util.is_noncomplex(instance)
or util.is_dictionary_subclass(instance)):
instance[k] = value
else:
setattr(instance, k, value)
# step out
self._namestack.pop()
# Handle list and set subclasses
if has_tag(obj, tags.SEQ):
if hasattr(instance, 'append'):
for v in obj[tags.SEQ]:
instance.append(self.restore(v))
if hasattr(instance, 'add'):
for v in obj[tags.SEQ]:
instance.add(self.restore(v))
return self._pop(instance)
if util.is_list(obj):
parent = []
self._mkref(parent)
children = [self.restore(v) for v in obj]
parent.extend(children)
return self._pop(parent)
if has_tag(obj, tags.TUPLE):
return self._pop(tuple([self.restore(v) for v in obj[tags.TUPLE]]))
if has_tag(obj, tags.SET):
return self._pop(set([self.restore(v) for v in obj[tags.SET]]))
if util.is_dictionary(obj):
data = {}
for k, v in sorted(obj.items(), key=operator.itemgetter(0)):
self._namestack.append(k)
data[k] = self.restore(v)
self._namestack.pop()
return self._pop(data)
return self._pop(obj)
def test_is_dictionary_dict(self):
self.assertTrue(is_dictionary({}))
def flatten(self, obj):
"""Takes an object and returns a JSON-safe representation of it.
Simply returns any of the basic builtin datatypes
>>> p = Pickler()
>>> p.flatten('hello world')
'hello world'
>>> p.flatten(u'hello world')
u'hello world'
>>> p.flatten(49)
49
>>> p.flatten(350.0)
350.0
>>> p.flatten(True)
True
>>> p.flatten(False)
False
>>> r = p.flatten(None)
>>> r is None
True
>>> p.flatten(False)
False
>>> p.flatten([1, 2, 3, 4])
[1, 2, 3, 4]
>>> p.flatten((1,2,))[tags.TUPLE]
[1, 2]
>>> p.flatten({'key': 'value'})
{'key': 'value'}
"""
self._push()
if self._depth == self._max_depth:
return self._pop(repr(obj))
if util.is_primitive(obj):
return self._pop(obj)
if util.is_list(obj):
return self._pop([ self.flatten(v) for v in obj ])
# We handle tuples and sets by encoding them in a "(tuple|set)dict"
if util.is_tuple(obj):
return self._pop({tags.TUPLE: [ self.flatten(v) for v in obj ]})
if util.is_set(obj):
return self._pop({tags.SET: [ self.flatten(v) for v in obj ]})
if util.is_dictionary(obj):
return self._pop(self._flatten_dict_obj(obj, obj.__class__()))
if util.is_type(obj):
return self._pop(_mktyperef(obj))
if util.is_object(obj):
data = {}
has_class = hasattr(obj, '__class__')
has_dict = hasattr(obj, '__dict__')
if self._mkref(obj):
if has_class and not util.is_repr(obj):
module, name = _getclassdetail(obj)
if self.unpicklable is True:
data[tags.OBJECT] = '%s.%s' % (module, name)
if util.is_repr(obj):
if self.unpicklable is True:
data[tags.REPR] = '%s/%s' % (obj.__class__.__module__,
repr(obj))
else:
data = unicode(obj)
return self._pop(data)
if util.is_dictionary_subclass(obj):
return self._pop(self._flatten_dict_obj(obj, data))
if util.is_noncomplex(obj):
return self._pop([self.flatten(v) for v in obj])
if has_dict:
return self._pop(self._flatten_dict_obj(obj.__dict__, data))
else:
# We've seen this object before so place an object
# reference tag in the data. This avoids infinite recursion
# when processing cyclical objects.
return self._pop(self._getref(obj))
return self._pop(data)
def test_is_dictionary_dict(self):
self.assertTrue(util.is_dictionary({}))
def get_dictionary_item_type(cls):
if cls and util.is_dictionary(cls):
k, v = cls.iteritems().next()
return get_obj_cls(k), get_obj_cls(v)
return None, None
def restore(self, obj):
"""Restores a flattened object to its original python state.
Simply returns any of the basic builtin types
>>> u = Unpickler()
>>> u.restore('hello world')
'hello world'
>>> u.restore({'key': 'value'})
{'key': 'value'}
"""
self._push()
if has_tag(obj, tags.ID):
return self._pop(self._objs[obj[tags.ID]])
# Backwards compatibility
if has_tag(obj, tags.REF):
return self._pop(self._namedict.get(obj[tags.REF]))
if has_tag(obj, tags.TYPE):
typeref = loadclass(obj[tags.TYPE])
if not typeref:
return self._pop(obj)
return self._pop(typeref)
# Backwards compatibility
if has_tag(obj, tags.REPR):
obj = loadrepr(obj[tags.REPR])
return self._pop(self._mkref(obj))
if has_tag(obj, tags.OBJECT):
cls = loadclass(obj[tags.OBJECT])
if not cls:
return self._pop(self._mkref(obj))
# check custom handlers
HandlerClass = handlers.registry.get(cls)
if HandlerClass:
handler = HandlerClass(self)
instance = handler.restore(obj)
return self._pop(self._mkref(instance))
factory = loadfactory(obj)
args = getargs(obj)
if args:
args = self.restore(args)
try:
if hasattr(cls, '__new__'):
# new style classes
if factory:
instance = cls.__new__(cls, factory, *args)
instance.default_factory = factory
else:
instance = cls.__new__(cls, *args)
else:
instance = object.__new__(cls)
except TypeError:
# old-style classes
try:
instance = cls()
except TypeError:
# fail gracefully if the constructor requires arguments
return self._pop(self._mkref(obj))
# Add to the instance table to allow being referenced by a
# downstream object
self._mkref(instance)
if hasattr(instance, '__setstate__') and has_tag(obj, tags.STATE):
state = self.restore(obj[tags.STATE])
instance.__setstate__(state)
return self._pop(instance)
for k, v in sorted(obj.items(), key=operator.itemgetter(0)):
# ignore the reserved attribute
if k in tags.RESERVED:
continue
self._namestack.append(k)
# step into the namespace
value = self.restore(v)
if (util.is_noncomplex(instance) or
util.is_dictionary_subclass(instance)):
instance[k] = value
else:
setattr(instance, k, value)
# step out
self._namestack.pop()
# Handle list and set subclasses
if has_tag(obj, tags.SEQ):
if hasattr(instance, 'append'):
for v in obj[tags.SEQ]:
instance.append(self.restore(v))
if hasattr(instance, 'add'):
for v in obj[tags.SEQ]:
instance.add(self.restore(v))
return self._pop(instance)
if util.is_list(obj):
parent = []
self._mkref(parent)
children = [self.restore(v) for v in obj]
parent.extend(children)
return self._pop(parent)
if has_tag(obj, tags.TUPLE):
return self._pop(tuple([self.restore(v)
for v in obj[tags.TUPLE]]))
if has_tag(obj, tags.SET):
return self._pop(set([self.restore(v)
for v in obj[tags.SET]]))
if util.is_dictionary(obj):
data = {}
for k, v in sorted(obj.items(), key=operator.itemgetter(0)):
self._namestack.append(k)
data[k] = self.restore(v)
self._namestack.pop()
return self._pop(data)
return self._pop(obj)
def restore(self, obj):
"""Restores a flattened object to its original python state.
Simply returns any of the basic builtin types
>>> u = Unpickler()
>>> u.restore('hello world')
'hello world'
>>> u.restore({'key': 'value'})
{'key': 'value'}
"""
self._push()
if has_tag(obj, tags.REF):
return self._pop(self._namedict.get(obj[tags.REF]))
if has_tag(obj, tags.TYPE):
typeref = loadclass(obj[tags.TYPE])
if not typeref:
return self._pop(obj)
return self._pop(typeref)
if has_tag(obj, tags.REPR):
return self._pop(loadrepr(obj[tags.REPR]))
if has_tag(obj, tags.OBJECT):
cls = loadclass(obj[tags.OBJECT])
if not cls:
return self._pop(obj)
try:
instance = object.__new__(cls)
except TypeError:
# old-style classes
try:
instance = cls()
except TypeError:
# fail gracefully if the constructor requires arguments
self._mkref(obj)
return self._pop(obj)
# keep a obj->name mapping for use in the _isobjref() case
self._mkref(instance)
for k, v in obj.iteritems():
# ignore the reserved attribute
if k in tags.RESERVED:
continue
self._namestack.append(k)
# step into the namespace
value = self.restore(v)
if (util.is_noncomplex(instance) or
util.is_dictionary_subclass(instance)):
instance[k] = value
else:
instance.__dict__[k] = value
# step out
self._namestack.pop()
return self._pop(instance)
if util.is_list(obj):
return self._pop([self.restore(v) for v in obj])
if has_tag(obj, tags.TUPLE):
return self._pop(tuple([self.restore(v) for v in obj[tags.TUPLE]]))
if has_tag(obj, tags.SET):
return self._pop(set([self.restore(v) for v in obj[tags.SET]]))
if util.is_dictionary(obj):
data = {}
for k, v in obj.iteritems():
self._namestack.append(k)
data[k] = self.restore(v)
self._namestack.pop()
return self._pop(data)
return self._pop(obj)
def restore(self, obj):
"""Restores a flattened object to its original python state.
Simply returns any of the basic builtin types
>>> u = Unpickler()
>>> u.restore('hello world')
'hello world'
>>> u.restore({'key': 'value'})
{'key': 'value'}
"""
self._push()
if has_tag(obj, tags.ID):
return self._pop(self._objs[obj[tags.ID]])
if has_tag(obj, tags.REF):
return self._pop(self._namedict.get(obj[tags.REF]))
if has_tag(obj, tags.TYPE):
typeref = loadclass(obj[tags.TYPE])
if not typeref:
return self._pop(obj)
return self._pop(typeref)
if has_tag(obj, tags.REPR):
return self._pop(loadrepr(obj[tags.REPR]))
if has_tag(obj, tags.OBJECT):
cls = loadclass(obj[tags.OBJECT])
if not cls:
return self._pop(obj)
# check custom handlers
HandlerClass = handlers.registry.get(cls)
if HandlerClass:
handler = HandlerClass(self)
return self._pop(handler.restore(obj))
try:
if hasattr(cls, '__new__'):
instance = cls.__new__(cls)
else:
instance = object.__new__(cls)
except TypeError:
# old-style classes
try:
instance = cls()
except TypeError:
# fail gracefully if the constructor requires arguments
self._mkref(obj)
return self._pop(obj)
# keep a obj->name mapping for use in the _isobjref() case
self._mkref(instance)
if hasattr(instance, '__setstate__') and has_tag(obj, tags.STATE):
state = self.restore(obj[tags.STATE])
instance.__setstate__(state)
return self._pop(instance)
for k, v in sorted(obj.iteritems(), key=operator.itemgetter(0)):
# ignore the reserved attribute
if k in tags.RESERVED:
continue
self._namestack.append(k)
# step into the namespace
value = self.restore(v)
if (util.is_noncomplex(instance) or
util.is_dictionary_subclass(instance)):
instance[k] = value
else:
setattr(instance, k, value)
# step out
self._namestack.pop()
# Handle list and set subclasses
if has_tag(obj, tags.SEQ):
if hasattr(instance, 'append'):
for v in obj[tags.SEQ]:
instance.append(self.restore(v))
if hasattr(instance, 'add'):
for v in obj[tags.SEQ]:
instance.add(self.restore(v))
return self._pop(instance)
if util.is_list(obj):
return self._pop([self.restore(v) for v in obj])
if has_tag(obj, tags.TUPLE):
return self._pop(tuple([self.restore(v) for v in obj[tags.TUPLE]]))
if has_tag(obj, tags.SET):
return self._pop(set([self.restore(v) for v in obj[tags.SET]]))
if util.is_dictionary(obj):
data = {}
for k, v in sorted(obj.iteritems(), key=operator.itemgetter(0)):
self._namestack.append(k)
data[k] = self.restore(v)
self._namestack.pop()
return self._pop(data)
return self._pop(obj)
def test_is_dicitonary_sequences(self):
self.assertFalse(util.is_dictionary([]))
self.assertFalse(util.is_dictionary(set()))
def flatten(self, obj):
"""Takes an object and returns a JSON-safe representation of it.
Simply returns any of the basic builtin datatypes
>>> p = Pickler()
>>> p.flatten('hello world')
'hello world'
>>> p.flatten(u'hello world')
u'hello world'
>>> p.flatten(49)
49
>>> p.flatten(350.0)
350.0
>>> p.flatten(True)
True
>>> p.flatten(False)
False
>>> r = p.flatten(None)
>>> r is None
True
>>> p.flatten(False)
False
>>> p.flatten([1, 2, 3, 4])
[1, 2, 3, 4]
>>> p.flatten((1,2,))[tags.TUPLE]
[1, 2]
>>> p.flatten({'key': 'value'})
{'key': 'value'}
"""
self._push()
if self._depth == self._max_depth:
return self._pop(repr(obj))
if util.is_primitive(obj):
return self._pop(obj)
if util.is_list(obj):
if self._mkref(obj):
return self._pop([self.flatten(v) for v in obj])
else:
return self._getref(obj)
# We handle tuples and sets by encoding them in a "(tuple|set)dict"
if util.is_tuple(obj):
if self.unpicklable:
return self._pop({tags.TUPLE: [self.flatten(v) for v in obj]})
else:
return self._pop([self.flatten(v) for v in obj])
if util.is_set(obj):
if self.unpicklable:
return self._pop({tags.SET: [self.flatten(v) for v in obj]})
else:
return self._pop([self.flatten(v) for v in obj])
if util.is_dictionary(obj):
return self._pop(self._flatten_dict_obj(obj, obj.__class__()))
if util.is_type(obj):
return self._pop(_mktyperef(obj))
if util.is_object(obj):
if self._mkref(obj):
# We've never seen this object so return its
# json representation.
return self._pop(self._flatten_obj_instance(obj))
else:
# We've seen this object before so place an object
# reference tag in the data. This avoids infinite recursion
# when processing cyclical objects.
return self._pop(self._getref(obj))
# else, what else? (methods, functions, old style classes...)
return None
def flatten(self, obj):
"""Takes an object and returns a JSON-safe representation of it.
Simply returns any of the basic builtin datatypes
>>> p = Pickler()
>>> p.flatten('hello world')
'hello world'
>>> p.flatten(u'hello world')
u'hello world'
>>> p.flatten(49)
49
>>> p.flatten(350.0)
350.0
>>> p.flatten(True)
True
>>> p.flatten(False)
False
>>> r = p.flatten(None)
>>> r is None
True
>>> p.flatten(False)
False
>>> p.flatten([1, 2, 3, 4])
[1, 2, 3, 4]
>>> p.flatten((1,2,))[tags.TUPLE]
[1, 2]
>>> p.flatten({'key': 'value'})
{'key': 'value'}
"""
self._push()
if self._depth == self._max_depth:
return self._pop(repr(obj))
if util.is_primitive(obj):
return self._pop(obj)
if util.is_list(obj):
return self._pop([self.flatten(v) for v in obj])
# We handle tuples and sets by encoding them in a "(tuple|set)dict"
if util.is_tuple(obj):
return self._pop({tags.TUPLE: [self.flatten(v) for v in obj]})
if util.is_set(obj):
return self._pop({tags.SET: [self.flatten(v) for v in obj]})
if util.is_dictionary(obj):
return self._pop(self._flatten_dict_obj(obj, obj.__class__()))
if util.is_type(obj):
return self._pop(_mktyperef(obj))
if util.is_object(obj):
data = {}
has_class = hasattr(obj, '__class__')
has_dict = hasattr(obj, '__dict__')
if self._mkref(obj):
if has_class and not util.is_repr(obj):
module, name = _getclassdetail(obj)
if self.unpicklable is True:
data[tags.OBJECT] = '%s.%s' % (module, name)
if util.is_repr(obj):
if self.unpicklable is True:
data[tags.REPR] = '%s/%s' % (obj.__class__.__module__,
repr(obj))
else:
data = unicode(obj)
return self._pop(data)
if util.is_dictionary_subclass(obj):
return self._pop(self._flatten_dict_obj(obj, data))
if util.is_noncomplex(obj):
return self._pop([self.flatten(v) for v in obj])
if has_dict:
return self._pop(self._flatten_dict_obj(
obj.__dict__, data))
else:
# We've seen this object before so place an object
# reference tag in the data. This avoids infinite recursion
# when processing cyclical objects.
return self._pop(self._getref(obj))
return self._pop(data)
def test_is_dictionary_tuple(self):
self.assertFalse(util.is_dictionary(tuple()))
def restore(self, obj):
"""Restores a flattened object to its original python state.
Simply returns any of the basic builtin types
>>> u = Unpickler()
>>> u.restore('hello world')
'hello world'
>>> u.restore({'key': 'value'})
{'key': 'value'}
"""
self._push()
if has_tag(obj, tags.REF):
return self._pop(self._namedict.get(obj[tags.REF]))
if has_tag(obj, tags.TYPE):
typeref = loadclass(obj[tags.TYPE])
if not typeref:
return self._pop(obj)
return self._pop(typeref)
if has_tag(obj, tags.REPR):
return self._pop(loadrepr(obj[tags.REPR]))
if has_tag(obj, tags.OBJECT):
cls = loadclass(obj[tags.OBJECT])
if not cls:
return self._pop(obj)
try:
instance = object.__new__(cls)
except TypeError:
# old-style classes
try:
instance = cls()
except TypeError:
# fail gracefully if the constructor requires arguments
self._mkref(obj)
return self._pop(obj)
# keep a obj->name mapping for use in the _isobjref() case
self._mkref(instance)
for k, v in obj.iteritems():
# ignore the reserved attribute
if k in tags.RESERVED:
continue
self._namestack.append(k)
# step into the namespace
value = self.restore(v)
if util.is_noncomplex(instance) or util.is_dictionary_subclass(instance):
instance[k] = value
else:
instance.__dict__[k] = value
# step out
self._namestack.pop()
return self._pop(instance)
if util.is_list(obj):
return self._pop([self.restore(v) for v in obj])
if has_tag(obj, tags.TUPLE):
return self._pop(tuple([self.restore(v) for v in obj[tags.TUPLE]]))
if has_tag(obj, tags.SET):
return self._pop(set([self.restore(v) for v in obj[tags.SET]]))
if util.is_dictionary(obj):
data = {}
for k, v in obj.iteritems():
self._namestack.append(k)
data[k] = self.restore(v)
self._namestack.pop()
return self._pop(data)
return self._pop(obj)
def flatten(self, obj):
"""Takes an object and returns a JSON-safe representation of it.
Simply returns any of the basic builtin datatypes
>>> p = Pickler()
>>> p.flatten('hello world')
'hello world'
>>> p.flatten(u'hello world')
u'hello world'
>>> p.flatten(49)
49
>>> p.flatten(350.0)
350.0
>>> p.flatten(True)
True
>>> p.flatten(False)
False
>>> r = p.flatten(None)
>>> r is None
True
>>> p.flatten(False)
False
>>> p.flatten([1, 2, 3, 4])
[1, 2, 3, 4]
>>> p.flatten((1,2,))[tags.TUPLE]
[1, 2]
>>> p.flatten({'key': 'value'})
{'key': 'value'}
"""
self._push()
if self._depth == self._max_depth:
return self._pop(repr(obj))
if util.is_primitive(obj):
return self._pop(obj)
if util.is_list(obj):
return self._pop([ self.flatten(v) for v in obj ])
# We handle tuples and sets by encoding them in a "(tuple|set)dict"
if util.is_tuple(obj):
return self._pop({tags.TUPLE: [ self.flatten(v) for v in obj ]})
if util.is_set(obj):
return self._pop({tags.SET: [ self.flatten(v) for v in obj ]})
if util.is_dictionary(obj):
return self._pop(self._flatten_dict_obj(obj, obj.__class__()))
if util.is_type(obj):
return self._pop(_mktyperef(obj))
if util.is_object(obj):
if self._mkref(obj):
# We've never seen this object so return its
# json representation.
return self._pop(self._flatten_obj_instance(obj))
else:
# We've seen this object before so place an object
# reference tag in the data. This avoids infinite recursion
# when processing cyclical objects.
return self._pop(self._getref(obj))
return self._pop(data)
def test_is_dictionary_primitive(self):
self.assertFalse(util.is_dictionary(int()))
self.assertFalse(util.is_dictionary(None))
self.assertFalse(util.is_dictionary(str()))
