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- """
- Implementation of JSONEncoder
- """
- import re
- try:
- from simplejson._speedups import encode_basestring_ascii as c_encode_basestring_ascii
- except ImportError:
- pass
- ESCAPE = re.compile(r'[\x00-\x1f\\"\b\f\n\r\t]')
- 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%04x' % (i,))
- # Assume this produces an infinity on all machines (probably not guaranteed)
- INFINITY = float('1e66666')
- FLOAT_REPR = repr
- def floatstr(o, allow_nan=True):
- # 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 == INFINITY:
- text = 'Infinity'
- elif o == -INFINITY:
- text = '-Infinity'
- else:
- return FLOAT_REPR(o)
- if not allow_nan:
- raise ValueError("Out of range float values are not JSON compliant: %r"
- % (o,))
- return text
- def encode_basestring(s):
- """
- Return a JSON representation of a Python string
- """
- def replace(match):
- return ESCAPE_DCT[match.group(0)]
- return '"' + ESCAPE.sub(replace, s) + '"'
- def py_encode_basestring_ascii(s):
- 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%04x' % (n,)
- else:
- # surrogate pair
- n -= 0x10000
- s1 = 0xd800 | ((n >> 10) & 0x3ff)
- s2 = 0xdc00 | (n & 0x3ff)
- return '\\u%04x\\u%04x' % (s1, s2)
- return '"' + str(ESCAPE_ASCII.sub(replace, s)) + '"'
- try:
- encode_basestring_ascii = c_encode_basestring_ascii
- except NameError:
- encode_basestring_ascii = 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 | 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``).
- """
- __all__ = ['__init__', 'default', 'encode', 'iterencode']
- 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):
- """
- 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 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.
- If specified, separators should be a (item_separator, key_separator)
- tuple. The default is (', ', ': '). 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.
- """
- self.skipkeys = skipkeys
- self.ensure_ascii = ensure_ascii
- self.check_circular = check_circular
- self.allow_nan = allow_nan
- self.sort_keys = sort_keys
- self.indent = indent
- self.current_indent_level = 0
- if separators is not None:
- self.item_separator, self.key_separator = separators
- if default is not None:
- self.default = default
- self.encoding = encoding
- def _newline_indent(self):
- return '\n' + (' ' * (self.indent * self.current_indent_level))
- def _iterencode_list(self, lst, markers=None):
- 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
- yield '['
- if self.indent is not None:
- self.current_indent_level += 1
- newline_indent = self._newline_indent()
- separator = self.item_separator + newline_indent
- yield newline_indent
- else:
- newline_indent = None
- separator = self.item_separator
- first = True
- for value in lst:
- if first:
- first = False
- else:
- yield separator
- for chunk in self._iterencode(value, markers):
- yield chunk
- if newline_indent is not None:
- self.current_indent_level -= 1
- yield self._newline_indent()
- yield ']'
- if markers is not None:
- del markers[markerid]
- def _iterencode_dict(self, dct, markers=None):
- 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 '{'
- key_separator = self.key_separator
- if self.indent is not None:
- self.current_indent_level += 1
- newline_indent = self._newline_indent()
- item_separator = self.item_separator + newline_indent
- yield newline_indent
- else:
- newline_indent = None
- item_separator = self.item_separator
- first = True
- if self.ensure_ascii:
- encoder = encode_basestring_ascii
- else:
- encoder = encode_basestring
- allow_nan = self.allow_nan
- if self.sort_keys:
- keys = dct.keys()
- keys.sort()
- items = [(k, dct[k]) for k in keys]
- else:
- items = dct.iteritems()
- _encoding = self.encoding
- _do_decode = (_encoding is not None
- and not (_encoding == 'utf-8'))
- for key, value in items:
- if isinstance(key, str):
- if _do_decode:
- key = key.decode(_encoding)
- elif isinstance(key, basestring):
- pass
- # JavaScript is weakly typed for these, so it makes sense to
- # also allow them. Many encoders seem to do something like this.
- elif isinstance(key, float):
- key = floatstr(key, allow_nan)
- elif isinstance(key, (int, long)):
- key = str(key)
- elif key is True:
- key = 'true'
- elif key is False:
- key = 'false'
- elif key is None:
- key = 'null'
- elif self.skipkeys:
- continue
- else:
- raise TypeError("key %r is not a string" % (key,))
- if first:
- first = False
- else:
- yield item_separator
- yield encoder(key)
- yield key_separator
- for chunk in self._iterencode(value, markers):
- yield chunk
- if newline_indent is not None:
- self.current_indent_level -= 1
- yield self._newline_indent()
- yield '}'
- if markers is not None:
- del markers[markerid]
- def _iterencode(self, o, markers=None):
- if isinstance(o, basestring):
- if self.ensure_ascii:
- encoder = encode_basestring_ascii
- else:
- encoder = encode_basestring
- _encoding = self.encoding
- if (_encoding is not None and isinstance(o, str)
- and not (_encoding == 'utf-8')):
- o = o.decode(_encoding)
- yield encoder(o)
- elif o is None:
- yield 'null'
- elif o is True:
- yield 'true'
- elif o is False:
- yield 'false'
- elif isinstance(o, (int, long)):
- yield str(o)
- elif isinstance(o, float):
- yield floatstr(o, self.allow_nan)
- elif isinstance(o, (list, tuple)):
- for chunk in self._iterencode_list(o, markers):
- yield chunk
- elif isinstance(o, dict):
- for chunk in self._iterencode_dict(o, markers):
- yield chunk
- else:
- if markers is not None:
- markerid = id(o)
- if markerid in markers:
- raise ValueError("Circular reference detected")
- markers[markerid] = o
- for chunk in self._iterencode_default(o, markers):
- yield chunk
- if markers is not None:
- del markers[markerid]
- def _iterencode_default(self, o, markers=None):
- newobj = self.default(o)
- return self._iterencode(newobj, markers)
- 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("%r is not JSON serializable" % (o,))
- def encode(self, o):
- """
- Return a JSON string representation of a Python data structure.
- >>> JSONEncoder().encode({"foo": ["bar", "baz"]})
- '{"foo": ["bar", "baz"]}'
- """
- # This is for extremely simple cases and benchmarks.
- if isinstance(o, basestring):
- if isinstance(o, str):
- _encoding = self.encoding
- if (_encoding is not None
- and not (_encoding == 'utf-8')):
- o = o.decode(_encoding)
- 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 = list(self.iterencode(o))
- return ''.join(chunks)
- def iterencode(self, o):
- """
- 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
- return self._iterencode(o, markers)
- __all__ = ['JSONEncoder']
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