Models to make easier to deal with structures that are to be casted to JSON.
Free software: BSD license
Documentation: http://jsonmodels.rtfd.org.
Features
Fully tested with Python 2.7, 3.4 and PyPy.
Create Django-like models:
from jsonmodels import models, fields
class Cat(models.Base):
name = fields.StringField(required=True)
breed = fields.StringField()
class Dog(models.Base):
name = fields.StringField(required=True)
age = fields.IntField()
class Car(models.Base):
registration_number = fields.StringField(required=True)
engine_capacity = fields.FloatField()
color = fields.StringField()
class Person(models.Base):
name = fields.StringField(required=True)
surname = fields.StringField(required=True)
car = fields.EmbeddedField(Car)
pets = fields.ListField([Cat, Dog])Access to values through attributes:
>>> cat = Cat()
>>> cat.populate(name='Garfield')
>>> cat.name
'Garfield'
>>> cat.breed = 'mongrel'
>>> cat.breed
'mongrel'Validate models:
>>> person = Person(name='Chuck', surname='Norris')
>>> person.validate()
None
>>> dog = Dog()
>>> dog.validate()
*** ValidationError: Field "name" is required!Cast models to python struct and JSON:
>>> cat = Cat(name='Garfield')
>>> dog = Dog(name='Dogmeat', age=9)
>>> car = Car(registration_number='ASDF 777', color='red')
>>> person = Person(name='Johny', surname='Bravo', pets=[cat, dog])
>>> person.car = car
>>> person.to_struct()
{
'car': {
'color': 'red',
'registration_number': 'ASDF 777'
},
'surname': 'Bravo',
'name': 'Johny',
'pets': [
{'name': 'Garfield'},
{'age': 9, 'name': 'Dogmeat'}
]
}
>>> import json
>>> person_json = json.dumps(person.to_struct())You don’t like to write JSON Schema? Let jsonmodels do it for you:
>>> person = Person()
>>> person.to_json_schema()
{
'additionalProperties': False,
'required': ['surname', 'name'],
'type': 'object',
'properties': {
'car': {
'additionalProperties': False,
'required': ['registration_number'],
'type': 'object',
'properties': {
'color': {'type': 'string'},
'engine_capacity': {'type': 'float'},
'registration_number': {'type': 'string'}
}
},
'surname': {'type': 'string'},
'name': {'type': 'string'},
'pets': {
'items': {
'oneOf': [
{
'additionalProperties': False,
'required': ['name'],
'type': 'object',
'properties': {
'breed': {'type': 'string'},
'name': {'type': 'string'}
}
},
{
'additionalProperties': False,
'required': ['name'],
'type': 'object',
'properties': {
'age': {'type': 'integer'},
'name': {'type': 'string'}
}
}
]
},
'type': 'list'
}
}
}Compare JSON schemas:
>>> from jsonmodels.utils import compare_schemas
>>> schema1 = {'type': 'object'}
>>> schema2 = {'type': 'list'}
>>> compare_schemas(schema1, schema1)
True
>>> compare_schemas(schema1, schema2)
FalseMore
For more examples and better description see full documentation: http://jsonmodels.rtfd.org.
History
Current
Added possibility to populate already initialized data to EmbeddedField.
Added compare_schemas utility.
1.1 (2014-05-19)
Added docs.
Added json schema generation.
Added tests for PEP8 and complexity.
Moved to Python 3.4.
Added PEP257 compatibility.
Added help text to fields.
1.0.5 (2014-04-14)
Added data transformers.
1.0.4 (2014-04-13)
List field now supports simple types.
1.0.3 (2014-04-10)
Fixed compatibility with Python 3.
Fixed str and repr methods.
1.0.2 (2014-04-03)
Added deep data initialization.
1.0.1 (2014-04-03)
Added populate method.
1.0 (2014-04-02)
First stable release on PyPI.
0.1.0 (2014-03-17)
First release on PyPI.
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