70 lines
1.8 KiB
Python
70 lines
1.8 KiB
Python
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import json
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from collections import OrderedDict
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if __name__ == '__main__':
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# JSON是前后端传输里很常见的东西，很多数据要打成JSON字符串才能传输
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# 我们一般使用JSON.dumps和JSON.loads
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data = {
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"name": 'ACME',
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"shares": 100,
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"price": 542.33
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}
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data_json = json.dumps(data)
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print(data_json)
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data = json.loads(data_json)
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print(data)
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# 但如果是同.json文件打交道，还是使用dump和load
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# 在加载的时候，也可以把json对象载入成OrderedDict或Python对象
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data = json.loads(data_json, object_pairs_hook=OrderedDict)
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print(data)
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class JsonObj:
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def __init__(self, transform_data):
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self.__dict__ = transform_data
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data = json.loads(data_json, object_hook=JsonObj)
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print(data.name)
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# 在转换为Json时，对象这个东西是无法直接被Json解析的，想要解析得把它转化成可以被序列化处理的字典
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# 我们可以实现一个解析器函数，将类的字段映射到字典里，load的时候再创建一个类把它反序列化出来
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class Point:
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def __init__(self, x, y):
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self.x = x
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self.y = y
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classes = {
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"Point": Point
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}
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# 类->Json
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def serialize_instance(obj):
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d = {'__class__': type(obj).__name__}
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d.update(vars(obj))
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return d
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# JsonStr->类
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def unserialize_instance(dic):
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cls_name = dic.pop('__class__', None)
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if cls_name:
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cls = classes[cls_name]
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obj = cls.__new__(cls)
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for k, v in dic.items():
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setattr(obj, k, v)
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return obj
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else:
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return dic
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p = Point(2, 3)
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s = json.dumps(p, default=serialize_instance)
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print(s)
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a = json.loads(s, object_hook=unserialize_instance)
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print(a.x, a.y)
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