python json.dumps 详解，TypeError: Object of type 'xxx' is not JSON serializable

一、原始问题

1.执行如下代码

import json
def test_dumps():
    data={"keys":"string",1:[2,3],"dict":{"a":"b"},"key_bytes":b'123'}
    ans=json.dumps(data)
    print(ans)

if __name__ == "__main__":
    test_dumps()

 

2.对于如上代码，我们会遇到如下错误

Traceback (most recent call last):
  File "test_dumps.py", line 8, in <module>
    test_dumps()
  File "test_dumps.py", line 4, in test_dumps
    ans=json.dumps(data)
  File "/usr/lib/python3.6/json/__init__.py", line 231, in dumps
    return _default_encoder.encode(obj)
  File "/usr/lib/python3.6/json/encoder.py", line 199, in encode
    chunks = self.iterencode(o, _one_shot=True)
  File "/usr/lib/python3.6/json/encoder.py", line 257, in iterencode
    return _iterencode(o, 0)
  File "/usr/lib/python3.6/json/encoder.py", line 180, in default
    o.__class__.__name__)
TypeError: Object of type 'bytes' is not JSON serializable

 

二、代码追踪

1.dumps函数

针对以上问题，我们一步一步看源码，进入到json.dumps源码，可以看到如下内容，这里删除了源码中的注释。可以看到是通过JSONEncoder这个类的encode方法来编码输入的obj数据

def dumps(obj, *, skipkeys=False, ensure_ascii=True, check_circular=True,
        allow_nan=True, cls=None, indent=None, separators=None,
        default=None, sort_keys=False, **kw):
    # cached encoder
    if (not skipkeys and ensure_ascii and
        check_circular and allow_nan and
        cls is None and indent is None and separators is None and
        default is None and not sort_keys and not kw):
        return _default_encoder.encode(obj)
    if cls is None:
        cls = JSONEncoder
    return cls(
        skipkeys=skipkeys, ensure_ascii=ensure_ascii,
        check_circular=check_circular, allow_nan=allow_nan, indent=indent,
        separators=separators, default=default, sort_keys=sort_keys,
        **kw).encode(obj)

 

2.encode函数实现

再次进入到encode中，如果数据o是字符串，则有两种编码方式。

一种（encode_basestring_ascii）是使用ascii码表示，这种是会把中文字符自动转化为unicode，然后在其他语言时会把Unicode解析为字符，而非一个中文字符。比如会把"中"转化为"\u4e2d",而其他语言会讲这个看为6个字符，而非"中"

另一种（encode_basestring）是编码为二进制。

在这个函数中，主要是利用self.iterencode这个方法处理数据。

    def encode(self, o):
        # This is for extremely simple cases and benchmarks.
        if isinstance(o, str):
            if self.ensure_ascii:
                return encode_basestring_ascii(o)
            else:
                return encode_basestring(o)
        chunks = self.iterencode(o, _one_shot=True)
        if not isinstance(chunks, (list, tuple)):
            chunks = list(chunks)
        return ''.join(chunks)

 

3.核心处理函数_make_iterencode，其中包含了可扩展的_default

真正要编码的数据的部分是如下，可以看到在_iterencode中各个if条件处理数据，其中dict和list又单独写了一个函数处理，而如果数据不在if中，会调用_default处理。

def _make_iterencode(markers, _default, _encoder, _indent, _floatstr,
                     _key_separator, _item_separator, _sort_keys, _skipkeys, _one_shot,
                     ## HACK: hand-optimized bytecode; turn globals into locals
                     ValueError=ValueError,
                     dict=dict,
                     float=float,
                     id=id,
                     int=int,
                     isinstance=isinstance,
                     list=list,
                     str=str,
                     tuple=tuple,
                     _intstr=int.__str__,
                     ):
    if _indent is not None and not isinstance(_indent, str):
        _indent = ' ' * _indent

    def _iterencode_list(lst, _current_indent_level):  #只给出函数定义，具体方法这里不列出

    def _iterencode_dict(dct, _current_indent_level):  #只给出函数定义，具体方法这里不列出

    def _iterencode(o, _current_indent_level):
        if isinstance(o, str):
            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):
            # see comment for int/float in _make_iterencode
            yield _intstr(o)
        elif isinstance(o, float):
            # see comment for int/float in _make_iterencode
            yield _floatstr(o)
        elif isinstance(o, (list, tuple)):
            yield from _iterencode_list(o, _current_indent_level)
        elif isinstance(o, dict):
            yield from _iterencode_dict(o, _current_indent_level)
        else:
            if markers is not None:
                markerid = id(o)
                if markerid in markers:
                    raise ValueError("Circular reference detected")
                markers[markerid] = o
            o = _default(o)
            yield from _iterencode(o, _current_indent_level)
            if markers is not None:
                del markers[markerid]

    return _iterencode

 

三、解决问题

再次回到开始的问题，我们需要重写json.JSONEncoder中的default函数，这个default函数就是上述提到的_default函数，在default中添加处理bytes类型，修改后代码如下。

import json
import numpy as np
class Encoder(json.JSONEncoder):
    def default(self, obj):
        if isinstance(obj, np.ndarray):
            return obj.tolist()
        elif isinstance(obj, bytes):
            return str(obj, encoding='utf-8')
        return json.JSONEncoder.default(self, obj)
def test_dumps():
    data={"keys":"string",1:[2,3],"dict":{"a":"b"},"key_bytes":b'123'}
    ans=json.dumps(data,cls=Encoder)
    print(ans)

if __name__ == "__main__":
    test_dumps()

再次运行，可以获得如下结果，成功解决问题

{"keys": "string", "1": [2, 3], "dict": {"a": "b"}, "key_bytes": "123"}