pydto 0.1

data validation and conversion library

PyDto is a data conversion library. It can validate data, that comes from various data serialization formats like JSON, YAML, etc. and convert it to native Python datatypes. It can also convert native Python objects to described DTO.

A taste of this library:

>>> schema = Schema({
...     Required('someString1', 'some_string_1'): String(),
...     Optional('someString2', 'some_string_2'): String(),
...     Required('someDict', 'some_dict'): {
...         Required('someInt', 'some_int'): Integer(),
...         Required('someList', 'some_list'): List(Decimal()),
...         Required('someOtherList', 'some_other_list'): List({
...             Required('innerString', 'inner_string'): String(),
...             Required('innerInt', 'inner_int'): Integer()
...         })
...     }
... })
>>> native_object = schema.to_native({
...     'someString1': 'asdf',
...     'someDict': {
...         'someInt': 2,
...         'someList': ['11.5', '12.2'],
...         'someOtherList': [
...             {'innerString': 'is1', 'innerInt': 1},
...             {'innerString': 'is2', 'innerInt': '2'}
...         ]
...     }
... })
>>> assert native_object == {
...     'some_string_1': 'asdf',
...     'some_dict': {
...         'some_int': 2,
...         'some_other_list': [
...             {'inner_int': 1, 'inner_string': 'is1'},
...             {'inner_int': 2, 'inner_string': 'is2'}
...         ],
...         'some_list': [decimal.Decimal('11.5'), decimal.Decimal('12.2')],
...     }
... }

Check out documentation for more detailed review at Github repo.