"""Implementation of JSONEncoder
"""

import re
import math

try:
    from _json import encode_basestring_ascii as c_encode_basestring_ascii
except ImportError:
    c_encode_basestring_ascii = None

__all__ = ['JSONEncoder']

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{0:04x}'.format(i))

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 math.isnan(o):
        text = 'NaN'
    elif math.isinf(o):
        if math.copysign(1., o) == 1.:
            text = 'Infinity'
        else:
            text = '-Infinity'
    else:
        return FLOAT_REPR(o)

    if not allow_nan:
        msg = "Out of range float values are not JSON compliant: " + repr(o)
        raise ValueError(msg)

    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{0:04x}'.format(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 '"' + str(ESCAPE_ASCII.sub(replace, s)) + '"'


if c_encode_basestring_ascii is not None:
    encode_basestring_ascii = c_encode_basestring_ascii
else:
    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 {0!r} is not a string".format(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(repr(o) + " is not JSON serializable")

    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)