内置json子產品對于Python内置類型序列化的描述
"""Extensible JSON encoder for Python data structures.
Supports the following objects and types by default:
+-------------------+---------------+
| Python | JSON |
+===================+===============+
| dict | object |
+-------------------+---------------+
| list, tuple | array |
+-------------------+---------------+
| str | string |
+-------------------+---------------+
| int, 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``)."""
内置json子產品對于Python内置類型反序列化的描述
"""Simple JSON decoder
Performs the following translations in decoding by default:
+---------------+-------------------+
| JSON | Python |
+===============+===================+
| object | dict |
+---------------+-------------------+
| array | list |
+---------------+-------------------+
| string | str |
+---------------+-------------------+
| number (int) | int |
+---------------+-------------------+
| number (real) | float |
+---------------+-------------------+
| true | True |
+---------------+-------------------+
| false | False |
+---------------+-------------------+
| null | None |
+---------------+-------------------+
It also understands ``NaN``, ``Infinity``, and ``-Infinity`` as
their corresponding ``float`` values, which is outside the JSON spec."""
分别使用pickle和json子產品來實作自定義類型的序列化和反序列化
classPerson():"""人類"""
#__slots__ = ['age']
#__dict__ = ['age', 'name']
_age: int =0def __init__(self, age, name='eason'):#json.JSONEncoder.__init__(self, skipkeys=True)
self.age =age
self.name=name#self.name = name
#def __dir__(self):
#return ['age', 'name']
@propertydef age(self) ->int:returnself._age
@age.setterdefage(self, age: int):print('set age')if age <=0:raise ValueError('age')
self._age=agedefhello(self):print('==============hello-locals===============')print(locals())
importpickleimportjsonfrom demo.src.models.person importPerson#import demo.src.models.person.Person
classPersonJSONEncoder(json.JSONEncoder):defdefault(self, o: Person):#傳回字典類型
return {"name": o.name, "age": o.age}#def encode(self, o: Person):
## 直接傳回字典，
#return str({"age": o.age, "name": o.name})
classPersonJSONDecoder(json.JSONDecoder):defdecode(self, s: str):
obj_dict=json.loads(s)#return Person(obj_dict['age'], obj_dict['age'])
return Person(**obj_dict)
p= Person(28, 'wjchi')#bytes#p_bytes = pickle.dumps(p)#print(type(p_bytes), p_bytes)#p_obj = pickle.loads(p_bytes)#print(type(p_obj), p_obj.age)
#string
#p_str = json.dumps(p, default=lambda obj: obj.__dict__)#print(type(p_str), p_str)#p_dict = json.loads(p_str)#print(type(p_dict), p_dict['age'])
p_str= json.dumps(p, cls=PersonJSONEncoder)print(type(p_str), p_str)
p_dict=json.loads(p_str)#print(type(p_dict), p_dict['age'])#p_obj = json.loads(p_str, cls=PersonJSONDecoder)
p_obj = Person(**p_dict)print(type(p_obj), p_obj.age)