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Python `dict` and `json` verification for humankind :)

Project description

Python dict and json verification for humankind :)

dictify is python library to verify dict object and json with easy syntax and chainable rules.


pip install dictify


from dictify import *
import uuid

class User(Model):
    id = Field().default(uuid.uuid4()).type(uuid.UUID)
    name = Field().required().type(str).length(max=100)
    email = Field().required().match('.+@.+')
    gender = Field().anyof(['m', 'f'])
    age = Field().number(min=0, max=150)


Auto verify new dict object.

>>> user = User()
ValueError: {'name': ['Required.'], 'email': ['Required.']}

>>> user = User({
...     'name': 'test-user',
...     'email': ''
... })

>>> user
{'id': UUID('11fadebb-3c70-47a9-a3f0-ebf2a3815993'),
 'name': 'test-user',
 'email': '',
 'gender': None,
 'age': None}

Verify dict object on the fly.

>>> user['age'] = 200 # user['age'] rule is number(min=0, max=150)
ValueError: ['Value is 200, must be 0 to 150']
>>> user['age'] = 20
>>> user['gender'] = 'm'
{'name': 'test-user',
 'email': '',
 'id': UUID('b3acc59d-93cc-4f58-92d6-a3340b7a6678'),
 'gender': 'm',
 'age': 20}

Chainable rules.

As you can see in User(Model) in example above, fields' rules is chainable.

name = Field().required().type(str).length(max=100)
# `name` value required string type with max length = 100

To use with json

use json package to transform between json and dict

from dictify import *
import json

class User(Model):
    name = Field().required().type(str).length(max=100)
    email = Field().required().type(str).length(max=100)

user = json.loads('{"name": "test-user", "email": ""}')
user = User(user)


  • anyof(members: list): Value must be any of defined members
  • apply(func: function): Apply function to value. The applied function will get field's value as it's first argument. For example:
    from dictify import Model, Field
    import uuid
    from unittest import TestCase
    test_case = TestCase()
    class User(Model):
        def uuid4_rule(value):
            id_ = uuid.UUID(value)
            test_case.assertEqual(id_.version, 4)
        id_ = Field().apply(uuid4_rule)
  • default(default_: Any): Set default value.
  • length(min: int, max: int): min/max constrain to value's length using len().
  • listof(type_: type): A list which contain object type as specified. For example:
    comments = Field().listof(str)
  • match(re_: 'regex pattern'): Check value match with regex pattern.
  • number(min: 'number', max: 'number'): Define min/max number constrain to value.
  • required(): Value is required (Not None or '').
  • subset(members: list): Value must be subset of defined members
  • type(type_: type): Define value's type.

Project details

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