/examples/jsonrpc/public/services/simplejson/__init__.py
Python | 229 lines | 216 code | 0 blank | 13 comment | 0 complexity | 0cf983e4c6d6bb249c8e140616d61920 MD5 | raw file
Possible License(s): LGPL-2.1, Apache-2.0
- r"""
- A simple, fast, extensible JSON encoder and decoder
- JSON (JavaScript Object Notation) <http://json.org> is a subset of
- JavaScript syntax (ECMA-262 3rd edition) used as a lightweight data
- interchange format.
- simplejson exposes an API familiar to uses of the standard library
- marshal and pickle modules.
- Encoding basic Python object hierarchies::
-
- >>> import simplejson
- >>> simplejson.dumps(['foo', {'bar': ('baz', None, 1.0, 2)}])
- '["foo", {"bar": ["baz", null, 1.0, 2]}]'
- >>> print simplejson.dumps("\"foo\bar")
- "\"foo\bar"
- >>> print simplejson.dumps(u'\u1234')
- "\u1234"
- >>> print simplejson.dumps('\\')
- "\\"
- >>> print simplejson.dumps({"c": 0, "b": 0, "a": 0}, sort_keys=True)
- {"a": 0, "b": 0, "c": 0}
- >>> from StringIO import StringIO
- >>> io = StringIO()
- >>> simplejson.dump(['streaming API'], io)
- >>> io.getvalue()
- '["streaming API"]'
- Decoding JSON::
-
- >>> import simplejson
- >>> simplejson.loads('["foo", {"bar":["baz", null, 1.0, 2]}]')
- [u'foo', {u'bar': [u'baz', None, 1.0, 2]}]
- >>> simplejson.loads('"\\"foo\\bar"')
- u'"foo\x08ar'
- >>> from StringIO import StringIO
- >>> io = StringIO('["streaming API"]')
- >>> simplejson.load(io)
- [u'streaming API']
- Specializing JSON object decoding::
- >>> import simplejson
- >>> def as_complex(dct):
- ... if '__complex__' in dct:
- ... return complex(dct['real'], dct['imag'])
- ... return dct
- ...
- >>> simplejson.loads('{"__complex__": true, "real": 1, "imag": 2}',
- ... object_hook=as_complex)
- (1+2j)
- Extending JSONEncoder::
-
- >>> import simplejson
- >>> class ComplexEncoder(simplejson.JSONEncoder):
- ... def default(self, obj):
- ... if isinstance(obj, complex):
- ... return [obj.real, obj.imag]
- ... return simplejson.JSONEncoder.default(self, obj)
- ...
- >>> dumps(2 + 1j, cls=ComplexEncoder)
- '[2.0, 1.0]'
- >>> ComplexEncoder().encode(2 + 1j)
- '[2.0, 1.0]'
- >>> list(ComplexEncoder().iterencode(2 + 1j))
- ['[', '2.0', ', ', '1.0', ']']
-
- Note that the JSON produced by this module is a subset of YAML,
- so it may be used as a serializer for that as well.
- """
- __version__ = '1.4'
- __all__ = [
- 'dump', 'dumps', 'load', 'loads',
- 'JSONDecoder', 'JSONEncoder',
- ]
- from decoder import JSONDecoder
- from encoder import JSONEncoder
- def dump(obj, fp, skipkeys=False, ensure_ascii=True, check_circular=True,
- allow_nan=True, cls=None, indent=None, **kw):
- """
- Serialize ``obj`` as a JSON formatted stream to ``fp`` (a
- ``.write()``-supporting file-like object).
- If ``skipkeys`` is ``True`` then ``dict`` keys that are not basic types
- (``str``, ``unicode``, ``int``, ``long``, ``float``, ``bool``, ``None``)
- will be skipped instead of raising a ``TypeError``.
- If ``ensure_ascii`` is ``False``, then the some chunks written to ``fp``
- may be ``unicode`` instances, subject to normal Python ``str`` to
- ``unicode`` coercion rules. Unless ``fp.write()`` explicitly
- understands ``unicode`` (as in ``codecs.getwriter()``) this is likely
- to cause an error.
- If ``check_circular`` is ``False``, then the circular reference check
- for container types will be skipped and a circular reference will
- result in an ``OverflowError`` (or worse).
- If ``allow_nan`` is ``False``, then it will be a ``ValueError`` to
- serialize out of range ``float`` values (``nan``, ``inf``, ``-inf``)
- in strict compliance of the JSON specification, instead of using the
- JavaScript equivalents (``NaN``, ``Infinity``, ``-Infinity``).
- If ``indent`` is a non-negative integer, then JSON array elements and object
- members will be pretty-printed with that indent level. An indent level
- of 0 will only insert newlines. ``None`` is the most compact representation.
- To use a custom ``JSONEncoder`` subclass (e.g. one that overrides the
- ``.default()`` method to serialize additional types), specify it with
- the ``cls`` kwarg.
- """
- if cls is None:
- cls = JSONEncoder
- iterable = cls(skipkeys=skipkeys, ensure_ascii=ensure_ascii,
- check_circular=check_circular, allow_nan=allow_nan, indent=indent,
- **kw).iterencode(obj)
- # could accelerate with writelines in some versions of Python, at
- # a debuggability cost
- for chunk in iterable:
- fp.write(chunk)
- def dumps(obj, skipkeys=False, ensure_ascii=True, check_circular=True,
- allow_nan=True, cls=None, indent=None, **kw):
- """
- Serialize ``obj`` to a JSON formatted ``str``.
- If ``skipkeys`` is ``True`` then ``dict`` keys that are not basic types
- (``str``, ``unicode``, ``int``, ``long``, ``float``, ``bool``, ``None``)
- will be skipped instead of raising a ``TypeError``.
- If ``ensure_ascii`` is ``False``, then the return value will be a
- ``unicode`` instance subject to normal Python ``str`` to ``unicode``
- coercion rules instead of being escaped to an ASCII ``str``.
- If ``check_circular`` is ``False``, then the circular reference check
- for container types will be skipped and a circular reference will
- result in an ``OverflowError`` (or worse).
- If ``allow_nan`` is ``False``, then it will be a ``ValueError`` to
- serialize out of range ``float`` values (``nan``, ``inf``, ``-inf``) in
- strict compliance of the JSON specification, instead of using the
- JavaScript equivalents (``NaN``, ``Infinity``, ``-Infinity``).
- If ``indent`` is a non-negative integer, then JSON array elements and object
- members will be pretty-printed with that indent level. An indent level
- of 0 will only insert newlines. ``None`` is the most compact representation.
- To use a custom ``JSONEncoder`` subclass (e.g. one that overrides the
- ``.default()`` method to serialize additional types), specify it with
- the ``cls`` kwarg.
- """
- if cls is None:
- cls = JSONEncoder
- return cls(skipkeys=skipkeys, ensure_ascii=ensure_ascii,
- check_circular=check_circular, allow_nan=allow_nan, indent=indent, **kw).encode(obj)
- def load(fp, encoding=None, cls=None, object_hook=None, **kw):
- """
- Deserialize ``fp`` (a ``.read()``-supporting file-like object containing
- a JSON document) to a Python object.
- If the contents of ``fp`` is encoded with an ASCII based encoding other
- than utf-8 (e.g. latin-1), then an appropriate ``encoding`` name must
- be specified. Encodings that are not ASCII based (such as UCS-2) are
- not allowed, and should be wrapped with
- ``codecs.getreader(fp)(encoding)``, or simply decoded to a ``unicode``
- object and passed to ``loads()``
- ``object_hook`` is an optional function that will be called with the
- result of any object literal decode (a ``dict``). The return value of
- ``object_hook`` will be used instead of the ``dict``. This feature
- can be used to implement custom decoders (e.g. JSON-RPC class hinting).
-
- To use a custom ``JSONDecoder`` subclass, specify it with the ``cls``
- kwarg.
- """
- if cls is None:
- cls = JSONDecoder
- if object_hook is not None:
- kw['object_hook'] = object_hook
- return cls(encoding=encoding, **kw).decode(fp.read())
- def loads(s, encoding=None, cls=None, object_hook=None, **kw):
- """
- Deserialize ``s`` (a ``str`` or ``unicode`` instance containing a JSON
- document) to a Python object.
- If ``s`` is a ``str`` instance and is encoded with an ASCII based encoding
- other than utf-8 (e.g. latin-1) then an appropriate ``encoding`` name
- must be specified. Encodings that are not ASCII based (such as UCS-2)
- are not allowed and should be decoded to ``unicode`` first.
- ``object_hook`` is an optional function that will be called with the
- result of any object literal decode (a ``dict``). The return value of
- ``object_hook`` will be used instead of the ``dict``. This feature
- can be used to implement custom decoders (e.g. JSON-RPC class hinting).
- To use a custom ``JSONDecoder`` subclass, specify it with the ``cls``
- kwarg.
- """
- if cls is None:
- cls = JSONDecoder
- if object_hook is not None:
- kw['object_hook'] = object_hook
- return cls(encoding=encoding, **kw).decode(s)
- def read(s):
- """
- json-py API compatibility hook. Use loads(s) instead.
- """
- import warnings
- warnings.warn("simplejson.loads(s) should be used instead of read(s)",
- DeprecationWarning)
- return loads(s)
- def write(obj):
- """
- json-py API compatibility hook. Use dumps(s) instead.
- """
- import warnings
- warnings.warn("simplejson.dumps(s) should be used instead of write(s)",
- DeprecationWarning)
- return dumps(obj)