Your IP : 18.188.99.185
"""Implementation of JSONEncoder
"""
from __future__ import absolute_import
import re
from operator import itemgetter
# Do not import Decimal directly to avoid reload issues
import decimal
from .compat import u, unichr, binary_type, text_type, string_types, integer_types, PY3
def _import_speedups():
try:
from . import _speedups
return _speedups.encode_basestring_ascii, _speedups.make_encoder
except ImportError:
return None, None
c_encode_basestring_ascii, c_make_encoder = _import_speedups()
from simplejson.decoder import PosInf
#ESCAPE = re.compile(ur'[\x00-\x1f\\"\b\f\n\r\t\u2028\u2029]')
# This is required because u() will mangle the string and ur'' isn't valid
# python3 syntax
ESCAPE = re.compile(u'[\\x00-\\x1f\\\\"\\b\\f\\n\\r\\t\u2028\u2029]')
ESCAPE_ASCII = re.compile(r'([\\"]|[^\ -~])')
HAS_UTF8 = re.compile(r'[\x80-\xff]')
ESCAPE_DCT = {
'\\': '\\\\',
'"': '\\"',
'\b': '\\b',
'\f': '\\f',
'\n': '\\n',
'\r': '\\r',
'\t': '\\t',
}
for i in range(0x20):
#ESCAPE_DCT.setdefault(chr(i), '\\u{0:04x}'.format(i))
ESCAPE_DCT.setdefault(chr(i), '\\u%04x' % (i,))
for i in [0x2028, 0x2029]:
ESCAPE_DCT.setdefault(unichr(i), '\\u%04x' % (i,))
FLOAT_REPR = repr
class RawJSON(object):
"""Wrap an encoded JSON document for direct embedding in the output
"""
def __init__(self, encoded_json):
self.encoded_json = encoded_json
def encode_basestring(s, _PY3=PY3, _q=u('"')):
"""Return a JSON representation of a Python string
"""
if _PY3:
if isinstance(s, binary_type):
s = s.decode('utf-8')
if type(s) is not text_type:
s = text_type(s)
else:
if isinstance(s, str) and HAS_UTF8.search(s) is not None:
s = s.decode('utf-8')
if type(s) not in string_types:
s = text_type(s)
def replace(match):
return ESCAPE_DCT[match.group(0)]
return _q + ESCAPE.sub(replace, s) + _q
def py_encode_basestring_ascii(s, _PY3=PY3):
"""Return an ASCII-only JSON representation of a Python string
"""
if _PY3:
if isinstance(s, binary_type):
s = s.decode('utf-8')
if type(s) is not text_type:
s = text_type(s)
else:
if isinstance(s, str) and HAS_UTF8.search(s) is not None:
s = s.decode('utf-8')
if type(s) not in string_types:
s = text_type(s)
def replace(match):
s = match.group(0)
try:
return ESCAPE_DCT[s]
except KeyError:
n = ord(s)
if n < 0x10000:
#return '\\u{0:04x}'.format(n)
return '\\u%04x' % (n,)
else:
# surrogate pair
n -= 0x10000
s1 = 0xd800 | ((n >> 10) & 0x3ff)
s2 = 0xdc00 | (n & 0x3ff)
#return '\\u{0:04x}\\u{1:04x}'.format(s1, s2)
return '\\u%04x\\u%04x' % (s1, s2)
return '"' + str(ESCAPE_ASCII.sub(replace, s)) + '"'
encode_basestring_ascii = (
c_encode_basestring_ascii or py_encode_basestring_ascii)
class JSONEncoder(object):
"""Extensible JSON <http://json.org> encoder for Python data structures.
Supports the following objects and types by default:
+-------------------+---------------+
| Python | JSON |
+===================+===============+
| dict, namedtuple | object |
+-------------------+---------------+
| list, tuple | array |
+-------------------+---------------+
| str, unicode | string |
+-------------------+---------------+
| int, long, float | number |
+-------------------+---------------+
| True | true |
+-------------------+---------------+
| False | false |
+-------------------+---------------+
| None | null |
+-------------------+---------------+
To extend this to recognize other objects, subclass and implement a
``.default()`` method with another method that returns a serializable
object for ``o`` if possible, otherwise it should call the superclass
implementation (to raise ``TypeError``).
"""
item_separator = ', '
key_separator = ': '
def __init__(self, skipkeys=False, ensure_ascii=True,
check_circular=True, allow_nan=True, sort_keys=False,
indent=None, separators=None, encoding='utf-8', default=None,
use_decimal=True, namedtuple_as_object=True,
tuple_as_array=True, bigint_as_string=False,
item_sort_key=None, for_json=False, ignore_nan=False,
int_as_string_bitcount=None, iterable_as_array=False):
"""Constructor for JSONEncoder, with sensible defaults.
If skipkeys is false, then it is a TypeError to attempt
encoding of keys that are not str, int, long, float or None. If
skipkeys is True, such items are simply skipped.
If ensure_ascii is true, the output is guaranteed to be str
objects with all incoming unicode characters escaped. If
ensure_ascii is false, the output will be unicode object.
If check_circular is true, then lists, dicts, and custom encoded
objects will be checked for circular references during encoding to
prevent an infinite recursion (which would cause an OverflowError).
Otherwise, no such check takes place.
If allow_nan is true, then NaN, Infinity, and -Infinity will be
encoded as such. This behavior is not JSON specification compliant,
but is consistent with most JavaScript based encoders and decoders.
Otherwise, it will be a ValueError to encode such floats.
If sort_keys is true, then the output of dictionaries will be
sorted by key; this is useful for regression tests to ensure
that JSON serializations can be compared on a day-to-day basis.
If indent is a string, then JSON array elements and object members
will be pretty-printed with a newline followed by that string repeated
for each level of nesting. ``None`` (the default) selects the most compact
representation without any newlines. For backwards compatibility with
versions of simplejson earlier than 2.1.0, an integer is also accepted
and is converted to a string with that many spaces.
If specified, separators should be an (item_separator, key_separator)
tuple. The default is (', ', ': ') if *indent* is ``None`` and
(',', ': ') otherwise. To get the most compact JSON representation,
you should specify (',', ':') to eliminate whitespace.
If specified, default is a function that gets called for objects
that can't otherwise be serialized. It should return a JSON encodable
version of the object or raise a ``TypeError``.
If encoding is not None, then all input strings will be
transformed into unicode using that encoding prior to JSON-encoding.
The default is UTF-8.
If use_decimal is true (default: ``True``), ``decimal.Decimal`` will
be supported directly by the encoder. For the inverse, decode JSON
with ``parse_float=decimal.Decimal``.
If namedtuple_as_object is true (the default), objects with
``_asdict()`` methods will be encoded as JSON objects.
If tuple_as_array is true (the default), tuple (and subclasses) will
be encoded as JSON arrays.
If *iterable_as_array* is true (default: ``False``),
any object not in the above table that implements ``__iter__()``
will be encoded as a JSON array.
If bigint_as_string is true (not the default), ints 2**53 and higher
or lower than -2**53 will be encoded as strings. This is to avoid the
rounding that happens in Javascript otherwise.
If int_as_string_bitcount is a positive number (n), then int of size
greater than or equal to 2**n or lower than or equal to -2**n will be
encoded as strings.
If specified, item_sort_key is a callable used to sort the items in
each dictionary. This is useful if you want to sort items other than
in alphabetical order by key.
If for_json is true (not the default), objects with a ``for_json()``
method will use the return value of that method for encoding as JSON
instead of the object.
If *ignore_nan* is true (default: ``False``), then out of range
:class:`float` values (``nan``, ``inf``, ``-inf``) will be serialized
as ``null`` in compliance with the ECMA-262 specification. If true,
this will override *allow_nan*.
"""
self.skipkeys = skipkeys
self.ensure_ascii = ensure_ascii
self.check_circular = check_circular
self.allow_nan = allow_nan
self.sort_keys = sort_keys
self.use_decimal = use_decimal
self.namedtuple_as_object = namedtuple_as_object
self.tuple_as_array = tuple_as_array
self.iterable_as_array = iterable_as_array
self.bigint_as_string = bigint_as_string
self.item_sort_key = item_sort_key
self.for_json = for_json
self.ignore_nan = ignore_nan
self.int_as_string_bitcount = int_as_string_bitcount
if indent is not None and not isinstance(indent, string_types):
indent = indent * ' '
self.indent = indent
if separators is not None:
self.item_separator, self.key_separator = separators
elif indent is not None:
self.item_separator = ','
if default is not None:
self.default = default
self.encoding = encoding
def default(self, o):
"""Implement this method in a subclass such that it returns
a serializable object for ``o``, or calls the base implementation
(to raise a ``TypeError``).
For example, to support arbitrary iterators, you could
implement default like this::
def default(self, o):
try:
iterable = iter(o)
except TypeError:
pass
else:
return list(iterable)
return JSONEncoder.default(self, o)
"""
raise TypeError(repr(o) + " is not JSON serializable")
def encode(self, o):
"""Return a JSON string representation of a Python data structure.
>>> from simplejson import JSONEncoder
>>> JSONEncoder().encode({"foo": ["bar", "baz"]})
'{"foo": ["bar", "baz"]}'
"""
# This is for extremely simple cases and benchmarks.
if isinstance(o, binary_type):
_encoding = self.encoding
if (_encoding is not None and not (_encoding == 'utf-8')):
o = o.decode(_encoding)
if isinstance(o, string_types):
if self.ensure_ascii:
return encode_basestring_ascii(o)
else:
return encode_basestring(o)
# This doesn't pass the iterator directly to ''.join() because the
# exceptions aren't as detailed. The list call should be roughly
# equivalent to the PySequence_Fast that ''.join() would do.
chunks = self.iterencode(o, _one_shot=True)
if not isinstance(chunks, (list, tuple)):
chunks = list(chunks)
if self.ensure_ascii:
return ''.join(chunks)
else:
return u''.join(chunks)
def iterencode(self, o, _one_shot=False):
"""Encode the given object and yield each string
representation as available.
For example::
for chunk in JSONEncoder().iterencode(bigobject):
mysocket.write(chunk)
"""
if self.check_circular:
markers = {}
else:
markers = None
if self.ensure_ascii:
_encoder = encode_basestring_ascii
else:
_encoder = encode_basestring
if self.encoding != 'utf-8':
def _encoder(o, _orig_encoder=_encoder, _encoding=self.encoding):
if isinstance(o, binary_type):
o = o.decode(_encoding)
return _orig_encoder(o)
def floatstr(o, allow_nan=self.allow_nan, ignore_nan=self.ignore_nan,
_repr=FLOAT_REPR, _inf=PosInf, _neginf=-PosInf):
# Check for specials. Note that this type of test is processor
# and/or platform-specific, so do tests which don't depend on
# the internals.
if o != o:
text = 'NaN'
elif o == _inf:
text = 'Infinity'
elif o == _neginf:
text = '-Infinity'
else:
if type(o) != float:
# See #118, do not trust custom str/repr
o = float(o)
return _repr(o)
if ignore_nan:
text = 'null'
elif not allow_nan:
raise ValueError(
"Out of range float values are not JSON compliant: " +
repr(o))
return text
key_memo = {}
int_as_string_bitcount = (
53 if self.bigint_as_string else self.int_as_string_bitcount)
if (_one_shot and c_make_encoder is not None
and self.indent is None):
_iterencode = c_make_encoder(
markers, self.default, _encoder, self.indent,
self.key_separator, self.item_separator, self.sort_keys,
self.skipkeys, self.allow_nan, key_memo, self.use_decimal,
self.namedtuple_as_object, self.tuple_as_array,
int_as_string_bitcount,
self.item_sort_key, self.encoding, self.for_json,
self.ignore_nan, decimal.Decimal, self.iterable_as_array)
else:
_iterencode = _make_iterencode(
markers, self.default, _encoder, self.indent, floatstr,
self.key_separator, self.item_separator, self.sort_keys,
self.skipkeys, _one_shot, self.use_decimal,
self.namedtuple_as_object, self.tuple_as_array,
int_as_string_bitcount,
self.item_sort_key, self.encoding, self.for_json,
self.iterable_as_array, Decimal=decimal.Decimal)
try:
return _iterencode(o, 0)
finally:
key_memo.clear()
class JSONEncoderForHTML(JSONEncoder):
"""An encoder that produces JSON safe to embed in HTML.
To embed JSON content in, say, a script tag on a web page, the
characters &, < and > should be escaped. They cannot be escaped
with the usual entities (e.g. &) because they are not expanded
within <script> tags.
"""
def encode(self, o):
# Override JSONEncoder.encode because it has hacks for
# performance that make things more complicated.
chunks = self.iterencode(o, True)
if self.ensure_ascii:
return ''.join(chunks)
else:
return u''.join(chunks)
def iterencode(self, o, _one_shot=False):
chunks = super(JSONEncoderForHTML, self).iterencode(o, _one_shot)
for chunk in chunks:
chunk = chunk.replace('&', '\\u0026')
chunk = chunk.replace('<', '\\u003c')
chunk = chunk.replace('>', '\\u003e')
yield chunk
def _make_iterencode(markers, _default, _encoder, _indent, _floatstr,
_key_separator, _item_separator, _sort_keys, _skipkeys, _one_shot,
_use_decimal, _namedtuple_as_object, _tuple_as_array,
_int_as_string_bitcount, _item_sort_key,
_encoding,_for_json,
_iterable_as_array,
## HACK: hand-optimized bytecode; turn globals into locals
_PY3=PY3,
ValueError=ValueError,
string_types=string_types,
Decimal=None,
dict=dict,
float=float,
id=id,
integer_types=integer_types,
isinstance=isinstance,
list=list,
str=str,
tuple=tuple,
iter=iter,
):
if _use_decimal and Decimal is None:
Decimal = decimal.Decimal
if _item_sort_key and not callable(_item_sort_key):
raise TypeError("item_sort_key must be None or callable")
elif _sort_keys and not _item_sort_key:
_item_sort_key = itemgetter(0)
if (_int_as_string_bitcount is not None and
(_int_as_string_bitcount <= 0 or
not isinstance(_int_as_string_bitcount, integer_types))):
raise TypeError("int_as_string_bitcount must be a positive integer")
def _encode_int(value):
skip_quoting = (
_int_as_string_bitcount is None
or
_int_as_string_bitcount < 1
)
if type(value) not in integer_types:
# See #118, do not trust custom str/repr
value = int(value)
if (
skip_quoting or
(-1 << _int_as_string_bitcount)
< value <
(1 << _int_as_string_bitcount)
):
return str(value)
return '"' + str(value) + '"'
def _iterencode_list(lst, _current_indent_level):
if not lst:
yield '[]'
return
if markers is not None:
markerid = id(lst)
if markerid in markers:
raise ValueError("Circular reference detected")
markers[markerid] = lst
buf = '['
if _indent is not None:
_current_indent_level += 1
newline_indent = '\n' + (_indent * _current_indent_level)
separator = _item_separator + newline_indent
buf += newline_indent
else:
newline_indent = None
separator = _item_separator
first = True
for value in lst:
if first:
first = False
else:
buf = separator
if (isinstance(value, string_types) or
(_PY3 and isinstance(value, binary_type))):
yield buf + _encoder(value)
elif isinstance(value, RawJSON):
yield buf + value.encoded_json
elif value is None:
yield buf + 'null'
elif value is True:
yield buf + 'true'
elif value is False:
yield buf + 'false'
elif isinstance(value, integer_types):
yield buf + _encode_int(value)
elif isinstance(value, float):
yield buf + _floatstr(value)
elif _use_decimal and isinstance(value, Decimal):
yield buf + str(value)
else:
yield buf
for_json = _for_json and getattr(value, 'for_json', None)
if for_json and callable(for_json):
chunks = _iterencode(for_json(), _current_indent_level)
elif isinstance(value, list):
chunks = _iterencode_list(value, _current_indent_level)
else:
_asdict = _namedtuple_as_object and getattr(value, '_asdict', None)
if _asdict and callable(_asdict):
chunks = _iterencode_dict(_asdict(),
_current_indent_level)
elif _tuple_as_array and isinstance(value, tuple):
chunks = _iterencode_list(value, _current_indent_level)
elif isinstance(value, dict):
chunks = _iterencode_dict(value, _current_indent_level)
else:
chunks = _iterencode(value, _current_indent_level)
for chunk in chunks:
yield chunk
if first:
# iterable_as_array misses the fast path at the top
yield '[]'
else:
if newline_indent is not None:
_current_indent_level -= 1
yield '\n' + (_indent * _current_indent_level)
yield ']'
if markers is not None:
del markers[markerid]
def _stringify_key(key):
if isinstance(key, string_types): # pragma: no cover
pass
elif isinstance(key, binary_type):
key = key.decode(_encoding)
elif isinstance(key, float):
key = _floatstr(key)
elif key is True:
key = 'true'
elif key is False:
key = 'false'
elif key is None:
key = 'null'
elif isinstance(key, integer_types):
if type(key) not in integer_types:
# See #118, do not trust custom str/repr
key = int(key)
key = str(key)
elif _use_decimal and isinstance(key, Decimal):
key = str(key)
elif _skipkeys:
key = None
else:
raise TypeError("key " + repr(key) + " is not a string")
return key
def _iterencode_dict(dct, _current_indent_level):
if not dct:
yield '{}'
return
if markers is not None:
markerid = id(dct)
if markerid in markers:
raise ValueError("Circular reference detected")
markers[markerid] = dct
yield '{'
if _indent is not None:
_current_indent_level += 1
newline_indent = '\n' + (_indent * _current_indent_level)
item_separator = _item_separator + newline_indent
yield newline_indent
else:
newline_indent = None
item_separator = _item_separator
first = True
if _PY3:
iteritems = dct.items()
else:
iteritems = dct.iteritems()
if _item_sort_key:
items = []
for k, v in dct.items():
if not isinstance(k, string_types):
k = _stringify_key(k)
if k is None:
continue
items.append((k, v))
items.sort(key=_item_sort_key)
else:
items = iteritems
for key, value in items:
if not (_item_sort_key or isinstance(key, string_types)):
key = _stringify_key(key)
if key is None:
# _skipkeys must be True
continue
if first:
first = False
else:
yield item_separator
yield _encoder(key)
yield _key_separator
if (isinstance(value, string_types) or
(_PY3 and isinstance(value, binary_type))):
yield _encoder(value)
elif isinstance(value, RawJSON):
yield value.encoded_json
elif value is None:
yield 'null'
elif value is True:
yield 'true'
elif value is False:
yield 'false'
elif isinstance(value, integer_types):
yield _encode_int(value)
elif isinstance(value, float):
yield _floatstr(value)
elif _use_decimal and isinstance(value, Decimal):
yield str(value)
else:
for_json = _for_json and getattr(value, 'for_json', None)
if for_json and callable(for_json):
chunks = _iterencode(for_json(), _current_indent_level)
elif isinstance(value, list):
chunks = _iterencode_list(value, _current_indent_level)
else:
_asdict = _namedtuple_as_object and getattr(value, '_asdict', None)
if _asdict and callable(_asdict):
chunks = _iterencode_dict(_asdict(),
_current_indent_level)
elif _tuple_as_array and isinstance(value, tuple):
chunks = _iterencode_list(value, _current_indent_level)
elif isinstance(value, dict):
chunks = _iterencode_dict(value, _current_indent_level)
else:
chunks = _iterencode(value, _current_indent_level)
for chunk in chunks:
yield chunk
if newline_indent is not None:
_current_indent_level -= 1
yield '\n' + (_indent * _current_indent_level)
yield '}'
if markers is not None:
del markers[markerid]
def _iterencode(o, _current_indent_level):
if (isinstance(o, string_types) or
(_PY3 and isinstance(o, binary_type))):
yield _encoder(o)
elif isinstance(o, RawJSON):
yield o.encoded_json
elif o is None:
yield 'null'
elif o is True:
yield 'true'
elif o is False:
yield 'false'
elif isinstance(o, integer_types):
yield _encode_int(o)
elif isinstance(o, float):
yield _floatstr(o)
else:
for_json = _for_json and getattr(o, 'for_json', None)
if for_json and callable(for_json):
for chunk in _iterencode(for_json(), _current_indent_level):
yield chunk
elif isinstance(o, list):
for chunk in _iterencode_list(o, _current_indent_level):
yield chunk
else:
_asdict = _namedtuple_as_object and getattr(o, '_asdict', None)
if _asdict and callable(_asdict):
for chunk in _iterencode_dict(_asdict(),
_current_indent_level):
yield chunk
elif (_tuple_as_array and isinstance(o, tuple)):
for chunk in _iterencode_list(o, _current_indent_level):
yield chunk
elif isinstance(o, dict):
for chunk in _iterencode_dict(o, _current_indent_level):
yield chunk
elif _use_decimal and isinstance(o, Decimal):
yield str(o)
else:
while _iterable_as_array:
# Markers are not checked here because it is valid for
# an iterable to return self.
try:
o = iter(o)
except TypeError:
break
for chunk in _iterencode_list(o, _current_indent_level):
yield chunk
return
if markers is not None:
markerid = id(o)
if markerid in markers:
raise ValueError("Circular reference detected")
markers[markerid] = o
o = _default(o)
for chunk in _iterencode(o, _current_indent_level):
yield chunk
if markers is not None:
del markers[markerid]
return _iterencode