682 lines
26 KiB
Python
682 lines
26 KiB
Python
|
"""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, 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
|
||
|
|
|
||
|
|
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')
|
||
|
|
else:
|
||
|
|
if isinstance(s, str) and HAS_UTF8.search(s) is not None:
|
||
|
|
s = s.decode('utf-8')
|
||
|
|
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')
|
||
|
|
else:
|
||
|
|
if isinstance(s, str) and HAS_UTF8.search(s) is not None:
|
||
|
|
s = s.decode('utf-8')
|
||
|
|
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 (not the default), ``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 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 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 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
|