16.6. JSON Object
16.6.1. SetUp
>>> from pprint import pprint
>>> from dataclasses import dataclass
>>> import json
16.6.2. Object Encoder
>>> class User:
... def __init__(self, username, password, groups=None):
... self.username = username
... self.password = password
... self.groups = groups if groups else []
...
... def __repr__(self):
... clsname = self.__class__.__qualname__
... arguments = ', '.join(f'{k}={v!r}' for k,v in vars(self).items())
... return f'{clsname}({arguments})'
>>>
>>>
>>> def encoder(obj):
... return vars(obj)
>>>
>>>
>>> DATA = User('alice', 'secret', groups=['users', 'staff'])
>>>
>>> result = json.dumps(DATA, default=encoder)
>>> print(result)
{"username": "alice", "password": "secret", "groups": ["users", "staff"]}
16.6.3. Object Decoder
>>> class User:
... def __init__(self, username, password, groups=None):
... self.username = username
... self.password = password
... self.groups = groups if groups else []
...
... def __repr__(self):
... clsname = self.__class__.__qualname__
... arguments = ', '.join(f'{k}={v!r}' for k,v in vars(self).items())
... return f'{clsname}({arguments})'
>>>
>>>
>>> def decoder(data):
... return User(**data)
>>>
>>>
>>> DATA = """{
... "username": "alice",
... "password": "secret",
... "groups": ["users", "staff"]
... }"""
>>>
>>> result = json.loads(DATA, object_hook=decoder)
>>> print(result)
User(username='alice', password='secret', groups=['users', 'staff'])
16.6.4. Encode Object with Relation
>>> class User:
... def __init__(self, firstname, lastname, age=None, groups=None):
... self.firstname = firstname
... self.lastname = lastname
... self.age = age
... self.groups = groups if groups else []
...
... def __repr__(self):
... clsname = self.__class__.__qualname__
... arguments = ', '.join(f'{k}={v!r}' for k,v in vars(self).items())
... return f'{clsname}({arguments})'
>>>
>>> class Group:
... def __init__(self, name):
... self.name = name
...
... def __repr__(self):
... return f'{self.name}'
>>>
>>>
>>> DATA = [
... User(firstname='Alice', lastname='Apricot', age=30, groups=[
... Group('users'),
... Group('staff'),
... ]),
...
... User(firstname='Bob', lastname='Blackthorn', age=31, groups=[
... Group('users'),
... Group('staff'),
... ]),
...
... User(firstname='Carol', lastname='Corn', age=32, groups=[
... Group('users'),
... ]),
...
... User(firstname='Dave', lastname='Durian', age=33, groups=[
... Group('users'),
... ]),
...
... User(firstname='Eve', lastname='Elderberry', age=34, groups=[
... Group('users'),
... Group('staff'),
... Group('admins'),
... ]),
...
... User(firstname='Mallory', lastname='Melon', age=15, groups=[]),
... ]
>>>
>>>
>>> def encoder(obj):
... data = {'__clsname__': obj.__class__.__name__}
... return data | vars(obj)
>>>
>>>
>>> result = json.dumps(DATA, default=encoder, indent=2)
>>> print(result)
[
{
"__clsname__": "User",
"firstname": "Alice",
"lastname": "Apricot",
"age": 30,
"groups": [
{
"__clsname__": "Group",
"name": "users"
},
{
"__clsname__": "Group",
"name": "staff"
}
]
},
{
"__clsname__": "User",
"firstname": "Bob",
"lastname": "Blackthorn",
"age": 31,
"groups": [
{
"__clsname__": "Group",
"name": "users"
},
{
"__clsname__": "Group",
"name": "staff"
}
]
},
{
"__clsname__": "User",
"firstname": "Carol",
"lastname": "Corn",
"age": 32,
"groups": [
{
"__clsname__": "Group",
"name": "users"
}
]
},
{
"__clsname__": "User",
"firstname": "Dave",
"lastname": "Durian",
"age": 33,
"groups": [
{
"__clsname__": "Group",
"name": "users"
}
]
},
{
"__clsname__": "User",
"firstname": "Eve",
"lastname": "Elderberry",
"age": 34,
"groups": [
{
"__clsname__": "Group",
"name": "users"
},
{
"__clsname__": "Group",
"name": "staff"
},
{
"__clsname__": "Group",
"name": "admins"
}
]
},
{
"__clsname__": "User",
"firstname": "Mallory",
"lastname": "Melon",
"age": 15,
"groups": []
}
]
16.6.5. Decode
Encoding nested objects with relations to JSON:
>>> class User:
... def __init__(self, firstname, lastname, age=None, groups=None):
... self.firstname = firstname
... self.lastname = lastname
... self.age = age
... self.groups = groups if groups else []
...
... def __repr__(self):
... clsname = self.__class__.__qualname__
... arguments = ', '.join(f'{k}={v!r}' for k,v in vars(self).items())
... return f'{clsname}({arguments})'
>>>
>>> class Group:
... def __init__(self, name):
... self.name = name
...
... def __repr__(self):
... return f'{self.name}'
>>>
>>>
>>> DATA = (
... '[{"__clsname__": "User", "firstname": "Alice", "lastname": "Apricot", '
... '"age": 30, "groups": [{"__clsname__": "Group", "name": "users"}, '
... '{"__clsname__": "Group", "name": "staff"}]}, {"__clsname__": "User", '
... '"firstname": "Bob", "lastname": "Blackthorn", "age": 31, "groups": '
... '[{"__clsname__": "Group", "name": "users"}, {"__clsname__": "Group", '
... '"name": "staff"}]}, {"__clsname__": "User", "firstname": "Carol", '
... '"lastname": "Corn", "age": 32, "groups": [{"__clsname__": "Group", '
... '"name": "users"}]}, {"__clsname__": "User", "firstname": "Dave", '
... '"lastname": "Durian", "age": 33, "groups": [{"__clsname__": "Group", '
... '"name": "users"}]}, {"__clsname__": "User", "firstname": "Eve", '
... '"lastname": "Elderberry", "age": 34, "groups": [{"__clsname__": '
... '"Group", "name": "users"}, {"__clsname__": "Group", "name": "staff"}, '
... '{"__clsname__": "Group", "name": "admins"}]}, {"__clsname__": "User", '
... '"firstname": "Mallory", "lastname": "Melon", "age": 15, "groups": '
... '[]}]'
... )
>>>
>>>
>>> def decoder(obj):
... clsname = obj.pop('__clsname__')
... cls = globals()[clsname]
... return cls(**obj)
>>>
>>>
>>> result = json.loads(DATA, object_hook=decoder)
>>> pprint(result)
[User(firstname='Alice', lastname='Apricot', age=30, groups=[users, staff]),
User(firstname='Bob', lastname='Blackthorn', age=31, groups=[users, staff]),
User(firstname='Carol', lastname='Corn', age=32, groups=[users]),
User(firstname='Dave', lastname='Durian', age=33, groups=[users]),
User(firstname='Eve', lastname='Elderberry', age=34, groups=[users, staff, admins]),
User(firstname='Mallory', lastname='Melon', age=15, groups=[])]
16.6.6. Class Encoder and Decoder
>>> import json
>>> from pprint import pprint
>>>
>>>
>>> class User:
... def __init__(self, firstname, lastname, age=None, groups=None):
... self.firstname = firstname
... self.lastname = lastname
... self.age = age
... self.groups = groups if groups else []
...
... def __repr__(self):
... clsname = self.__class__.__qualname__
... arguments = ', '.join(f'{k}={v!r}' for k,v in vars(self).items())
... return f'{clsname}({arguments})'
>>>
>>> class Group:
... def __init__(self, name):
... self.name = name
...
... def __repr__(self):
... return f'{self.name}'
>>>
>>>
>>> DATA = [
... User(firstname='Alice', lastname='Apricot', age=30, groups=[
... Group('users'),
... Group('staff'),
... ]),
...
... User(firstname='Bob', lastname='Blackthorn', age=31, groups=[
... Group('users'),
... Group('staff'),
... ]),
...
... User(firstname='Carol', lastname='Corn', age=32, groups=[
... Group('users'),
... ]),
...
... User(firstname='Dave', lastname='Durian', age=33, groups=[
... Group('users'),
... ]),
...
... User(firstname='Eve', lastname='Elderberry', age=34, groups=[
... Group('users'),
... Group('staff'),
... Group('admins'),
... ]),
...
... User(firstname='Mallory', lastname='Melon', age=15, groups=[]),
... ]
>>> class Encoder(json.JSONEncoder):
... def default(self, obj):
... data = vars(obj)
... data['__clsname__'] = obj.__class__.__name__
... return data
>>>
>>>
>>> result = json.dumps(DATA, cls=Encoder)
>>> pprint(result, width=72)
('[{"firstname": "Alice", "lastname": "Apricot", "age": 30, "groups": '
'[{"name": "users", "__clsname__": "Group"}, {"name": "staff", '
'"__clsname__": "Group"}], "__clsname__": "User"}, {"firstname": '
'"Bob", "lastname": "Blackthorn", "age": 31, "groups": [{"name": '
'"users", "__clsname__": "Group"}, {"name": "staff", "__clsname__": '
'"Group"}], "__clsname__": "User"}, {"firstname": "Carol", '
'"lastname": "Corn", "age": 32, "groups": [{"name": "users", '
'"__clsname__": "Group"}], "__clsname__": "User"}, {"firstname": '
'"Dave", "lastname": "Durian", "age": 33, "groups": [{"name": '
'"users", "__clsname__": "Group"}], "__clsname__": "User"}, '
'{"firstname": "Eve", "lastname": "Elderberry", "age": 34, "groups": '
'[{"name": "users", "__clsname__": "Group"}, {"name": "staff", '
'"__clsname__": "Group"}, {"name": "admins", "__clsname__": '
'"Group"}], "__clsname__": "User"}, {"firstname": "Mallory", '
'"lastname": "Melon", "age": 15, "groups": [], "__clsname__": '
'"User"}]')
>>> class Decoder(json.JSONDecoder):
... def __init__(self):
... super().__init__(object_hook=self.default)
...
... def default(self, data: dict) -> dict:
... clsname = data.pop('__clsname__')
... cls = globals()[clsname]
... return cls(**data)
>>>
>>>
>>> result = json.loads(result, cls=Decoder)
>>> pprint(result)
[User(firstname='Alice', lastname='Apricot', age=30, groups=[users, staff]),
User(firstname='Bob', lastname='Blackthorn', age=31, groups=[users, staff]),
User(firstname='Carol', lastname='Corn', age=32, groups=[users]),
User(firstname='Dave', lastname='Durian', age=33, groups=[users]),
User(firstname='Eve', lastname='Elderberry', age=34, groups=[users, staff, admins]),
User(firstname='Mallory', lastname='Melon', age=15, groups=[])]
16.6.7. Assignments
# %% About
# - Name: JSON Object Dumps
# - Difficulty: medium
# - Lines: 5
# - Minutes: 5
# %% License
# - Copyright 2025, Matt Harasymczuk <matt@python3.info>
# - This code can be used only for learning by humans
# - This code cannot be used for teaching others
# - This code cannot be used for teaching LLMs and AI algorithms
# - This code cannot be used in commercial or proprietary products
# - This code cannot be distributed in any form
# - This code cannot be changed in any form outside of training course
# - This code cannot have its license changed
# - If you use this code in your product, you must open-source it under GPLv2
# - Exception can be granted only by the author
# %% English
# 1. Serialize data from variable `DATA`
# 2. To each row add `__clsname__` with an object type name
# 3. Use `json` module
# 4. Result write to variable `result`
# 5. Run doctests - all must succeed
# %% Polish
# 1. Zserializuj dane ze zmiennej `DATA`
# 2. To each row add `__clsname__` with an object type name
# 3. Użyj modułu `json`
# 4. Wynik zapisz do zmiennej `result`
# 5. Uruchom doctesty - wszystkie muszą się powieść
# %% Example
# >>> result
# ('[{"__clsname__": "User", "firstname": "Alice", "lastname": "Apricot", "age": 30, "groups": []}, '
# '{"__clsname__": "User", "firstname": "Bob", "lastname": "Blackthorn", "age": 31, "groups": []}, '
# '{"__clsname__": "User", "firstname": "Carol", "lastname": "Corn", "age": 32, "groups": []}, '
# '{"__clsname__": "User", "firstname": "Dave", "lastname": "Durian", "age": 33, "groups": []}, '
# '{"__clsname__": "User", "firstname": "Eve", "lastname": "Elderberry", "age": 34, "groups": []}, '
# '{"__clsname__": "User", "firstname": "Mallory", "lastname": "Melon", "age": 15, "groups": []}]')
# %% Hints
# - `dict()`
# - `dict.update()`
# - `object.__class__.__name__`
# %% Doctests
"""
>>> import sys; sys.tracebacklimit = 0
>>> assert sys.version_info >= (3, 9), \
'Python 3.9+ required'
>>> assert type(result)
>>> from pprint import pprint
>>> pprint(result, width=100)
('[{"__clsname__": "User", "firstname": "Alice", "lastname": "Apricot", "age": 30, "groups": []}, '
'{"__clsname__": "User", "firstname": "Bob", "lastname": "Blackthorn", "age": 31, "groups": []}, '
'{"__clsname__": "User", "firstname": "Carol", "lastname": "Corn", "age": 32, "groups": []}, '
'{"__clsname__": "User", "firstname": "Dave", "lastname": "Durian", "age": 33, "groups": []}, '
'{"__clsname__": "User", "firstname": "Eve", "lastname": "Elderberry", "age": 34, "groups": []}, '
'{"__clsname__": "User", "firstname": "Mallory", "lastname": "Melon", "age": 15, "groups": []}]')
"""
# %% Run
# - PyCharm: right-click in the editor and `Run Doctest in ...`
# - PyCharm: keyboard shortcut `Control + Shift + F10`
# - Terminal: `python -m doctest -f -v myfile.py`
# %% Imports
import json
# %% Types
result: list[object]
# %% Data
class User:
def __init__(self, firstname, lastname, age=None, groups=None):
self.firstname = firstname
self.lastname = lastname
self.age = age
self.groups = groups if groups else []
def __repr__(self):
clsname = self.__class__.__qualname__
arguments = ', '.join(f'{k}={v!r}' for k,v in vars(self).items())
return f'{clsname}({arguments})'
DATA = [
User('Alice', 'Apricot', age=30),
User('Bob', 'Blackthorn', age=31),
User('Carol', 'Corn', age=32),
User('Dave', 'Durian', age=33),
User('Eve', 'Elderberry', age=34),
User('Mallory', 'Melon', age=15),
]
# %% Result
result = ...
# %% About
# - Name: JSON Object Dataclass
# - Difficulty: easy
# - Lines: 5
# - Minutes: 5
# %% License
# - Copyright 2025, Matt Harasymczuk <matt@python3.info>
# - This code can be used only for learning by humans
# - This code cannot be used for teaching others
# - This code cannot be used for teaching LLMs and AI algorithms
# - This code cannot be used in commercial or proprietary products
# - This code cannot be distributed in any form
# - This code cannot be changed in any form outside of training course
# - This code cannot have its license changed
# - If you use this code in your product, you must open-source it under GPLv2
# - Exception can be granted only by the author
# %% English
# 1. Deserialize data from variable `DATA`
# 2. Use `json` module
# 3. Result write to variable `result`
# 4. Run doctests - all must succeed
# %% Polish
# 1. Zdeserializuj dane ze zmiennej `DATA`
# 2. Użyj modułu `json`
# 3. Wynik zapisz do zmiennej `result`
# 4. Uruchom doctesty - wszystkie muszą się powieść
# %% Example
# >>> result
# [User(firstname='Alice', lastname='Apricot', age=30, groups=[]),
# User(firstname='Bob', lastname='Blackthorn', age=31, groups=[]),
# User(firstname='Carol', lastname='Corn', age=32, groups=[]),
# User(firstname='Dave', lastname='Durian', age=33, groups=[]),
# User(firstname='Eve', lastname='Elderberry', age=34, groups=[]),
# User(firstname='Mallory', lastname='Melon', age=15, groups=[])]
# %% Hints
# - `dict.pop()`
# - `globals()`
# - `cls(**obj)`
# %% Doctests
"""
>>> import sys; sys.tracebacklimit = 0
>>> assert sys.version_info >= (3, 9), \
'Python 3.9+ required'
>>> type(result)
<class 'list'>
>>> len(result) > 0
True
>>> all(type(row) is User
... for row in result)
True
>>> from pprint import pprint
>>> pprint(result)
[User(firstname='Alice', lastname='Apricot', age=30, groups=[]),
User(firstname='Bob', lastname='Blackthorn', age=31, groups=[]),
User(firstname='Carol', lastname='Corn', age=32, groups=[]),
User(firstname='Dave', lastname='Durian', age=33, groups=[]),
User(firstname='Eve', lastname='Elderberry', age=34, groups=[]),
User(firstname='Mallory', lastname='Melon', age=15, groups=[])]
"""
# %% Run
# - PyCharm: right-click in the editor and `Run Doctest in ...`
# - PyCharm: keyboard shortcut `Control + Shift + F10`
# - Terminal: `python -m doctest -f -v myfile.py`
# %% Imports
import json
from dataclasses import dataclass
# %% Types
# %% Data
DATA = (
'[{"__clsname__": "User", "firstname": "Alice", "lastname": "Apricot", "age": 30, "groups": []}, '
'{"__clsname__": "User", "firstname": "Bob", "lastname": "Blackthorn", "age": 31, "groups": []}, '
'{"__clsname__": "User", "firstname": "Carol", "lastname": "Corn", "age": 32, "groups": []}, '
'{"__clsname__": "User", "firstname": "Dave", "lastname": "Durian", "age": 33, "groups": []}, '
'{"__clsname__": "User", "firstname": "Eve", "lastname": "Elderberry", "age": 34, "groups": []}, '
'{"__clsname__": "User", "firstname": "Mallory", "lastname": "Melon", "age": 15, "groups": []}]'
)
class User:
def __init__(self, firstname, lastname, age=None, groups=None):
self.firstname = firstname
self.lastname = lastname
self.age = age
self.groups = groups if groups else []
def __repr__(self):
clsname = self.__class__.__qualname__
arguments = ', '.join(f'{k}={v!r}' for k,v in vars(self).items())
return f'{clsname}({arguments})'
# %% Result
result = ...