/usr/lib/python3/dist-packages/jsonpickle/pickler.py is in python3-jsonpickle 0.6.1-1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 | # -*- coding: utf-8 -*-
#
# Copyright (C) 2008 John Paulett (john -at- paulett.org)
# Copyright (C) 2009, 2011, 2013 David Aguilar (davvid -at- gmail.com)
# All rights reserved.
#
# This software is licensed as described in the file COPYING, which
# you should have received as part of this distribution.
import operator
import jsonpickle.util as util
import jsonpickle.tags as tags
import jsonpickle.handlers as handlers
from jsonpickle.backend import JSONBackend
from jsonpickle.compat import unicode
def encode(value,
unpicklable=False, make_refs=True, keys=False,
max_depth=None, reset=True,
backend=None, context=None):
backend = _make_backend(backend)
if context is None:
context = Pickler(unpicklable=unpicklable,
make_refs=make_refs,
keys=keys,
backend=backend,
max_depth=max_depth)
return backend.encode(context.flatten(value, reset=reset))
def _make_backend(backend):
if backend is None:
return JSONBackend()
else:
return backend
class Pickler(object):
def __init__(self,
unpicklable=True, make_refs=True, max_depth=None,
backend=None, keys=False):
self.unpicklable = unpicklable
self.make_refs = make_refs
self.backend = _make_backend(backend)
self.keys = keys
## The current recursion depth
self._depth = -1
## The maximal recursion depth
self._max_depth = max_depth
## Maps id(obj) to reference IDs
self._objs = {}
def reset(self):
self._objs = {}
self._depth = -1
def _push(self):
"""Steps down one level in the namespace.
"""
self._depth += 1
def _pop(self, value):
"""Step up one level in the namespace and return the value.
If we're at the root, reset the pickler's state.
"""
self._depth -= 1
if self._depth == -1:
self.reset()
return value
def _mkref(self, obj):
objid = id(obj)
if objid not in self._objs:
new_id = len(self._objs)
self._objs[objid] = new_id
return True
# Do not use references if not unpicklable.
if not self.unpicklable or not self.make_refs:
return True
else:
return False
def _getref(self, obj):
return {tags.ID: self._objs.get(id(obj))}
def flatten(self, obj, reset=True):
"""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(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'}
"""
if reset:
self.reset()
return self._flatten(obj)
def _flatten(self, obj):
self._push()
max_reached = self._depth == self._max_depth
if max_reached or (not self.make_refs and id(obj) in self._objs):
# break the cycle
flatten_func = repr
else:
flatten_func = self._get_flattener(obj)
return self._pop(flatten_func(obj))
def _get_flattener(self, obj):
if util.is_primitive(obj):
return lambda obj: obj
list_recurse = lambda obj: [self._flatten(v) for v in obj]
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 _ref_obj_instance(self, obj):
"""Reference an existing object or flatten if new
"""
if self._mkref(obj):
# We've never seen this object so return its
# json representation.
return self._flatten_obj_instance(obj)
# 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._getref(obj)
def _flatten_obj_instance(self, obj):
"""Recursively flatten an instance and return a json-friendly dict
"""
data = {}
has_class = hasattr(obj, '__class__')
has_dict = hasattr(obj, '__dict__')
has_slots = not has_dict and hasattr(obj, '__slots__')
has_getstate = has_dict and hasattr(obj, '__getstate__')
has_getstate_support = has_getstate and hasattr(obj, '__setstate__')
HandlerClass = handlers.get(type(obj))
if has_class and not util.is_module(obj):
module, name = _getclassdetail(obj)
if self.unpicklable:
data[tags.OBJECT] = '%s.%s' % (module, name)
# Check for a custom handler
if HandlerClass:
handler = HandlerClass(self)
flat_obj = handler.flatten(obj, data)
self._mkref(flat_obj)
return flat_obj
if util.is_module(obj):
if self.unpicklable:
data[tags.REPR] = '%s/%s' % (obj.__name__,
obj.__name__)
else:
data = unicode(obj)
return data
if util.is_dictionary_subclass(obj):
return self._flatten_dict_obj(obj, data)
if has_dict:
# Support objects that subclasses list and set
if util.is_sequence_subclass(obj):
return self._flatten_sequence_obj(obj, data)
# Support objects with __getstate__(); this ensures that
# both __setstate__() and __getstate__() are implemented
if has_getstate_support:
state = self._flatten(obj.__getstate__())
if self.unpicklable:
data[tags.STATE] = state
else:
data = state
return data
# hack for zope persistent objects; this unghostifies the object
getattr(obj, '_', None)
return self._flatten_dict_obj(obj.__dict__, data)
if util.is_sequence_subclass(obj):
return self._flatten_sequence_obj(obj, data)
if util.is_noncomplex(obj):
return [self._flatten(v) for v in obj]
if has_slots:
return self._flatten_newstyle_with_slots(obj, data)
def _flatten_dict_obj(self, obj, data=None):
"""Recursively call flatten() and return json-friendly dict
"""
if data is None:
data = obj.__class__()
flatten = self._flatten_key_value_pair
for k, v in sorted(obj.items(), key=operator.itemgetter(0)):
flatten(k, v, data)
# the collections.defaultdict protocol
if hasattr(obj, 'default_factory') and callable(obj.default_factory):
flatten('default_factory', obj.default_factory, data)
return data
def _flatten_newstyle_with_slots(self, obj, data):
"""Return a json-friendly dict for new-style objects with __slots__.
"""
for k in obj.__slots__:
self._flatten_key_value_pair(k, getattr(obj, k), data)
return data
def _flatten_key_value_pair(self, k, v, data):
"""Flatten a key/value pair into the passed-in dictionary."""
if not util.is_picklable(k, v):
return data
if not isinstance(k, (str, unicode)):
if self.keys:
k = tags.JSON_KEY + encode(k,
reset=False, keys=True,
context=self, backend=self.backend,
make_refs=self.make_refs)
else:
try:
k = repr(k)
except:
k = unicode(k)
data[k] = self._flatten(v)
return data
def _flatten_sequence_obj(self, obj, data):
"""Return a json-friendly dict for a sequence subclass."""
if hasattr(obj, '__dict__'):
self._flatten_dict_obj(obj.__dict__, data)
value = [self._flatten(v) for v in obj]
if self.unpicklable:
data[tags.SEQ] = value
else:
return value
return data
def _mktyperef(obj):
"""Return a typeref dictionary
>>> _mktyperef(AssertionError)
{'py/type': '__builtin__.AssertionError'}
"""
return {tags.TYPE: '%s.%s' %
(util.translate_module_name(obj.__module__), obj.__name__)}
def _getclassdetail(obj):
"""Helper class to return the class of an object.
>>> class Example(object): pass
>>> _getclassdetail(Example())
('jsonpickle.pickler', 'Example')
>>> _getclassdetail(25)
('__builtin__', 'int')
>>> _getclassdetail(None)
('__builtin__', 'NoneType')
>>> _getclassdetail(False)
('__builtin__', 'bool')
>>> _getclassdetail(AttributeError)
('__builtin__', 'type')
"""
cls = obj.__class__
module = getattr(cls, '__module__')
name = getattr(cls, '__name__')
return util.translate_module_name(module), name
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