Skip to main content

Svarog allow to create object from non typed data

Project description

https://img.shields.io/pypi/v/svarog.svg https://github.com/dswistowski/svarog/actions/workflows/tests.yml/badge.svg Documentation Status

Svarog allow to create object from non typed data. All it need is annotated __init__ method:

>>> from svarog import forge
... class A:
...     def __init__(self, a: int, b: str):
...       self._a = a
...       self._b = b
...    def __repr__(self):
...        return f'A(a={self._a}, b="{self._b}")'
>>> forge(A, {"a": 1, "b": "3"})
A(a=1, b="3")

More complicated types as Sequence, Mapping, Optional are possible

>>> class A:
...     def __init__(self, b: Sequence[int]):
...         self._b = b
...     def __repr__(self):
...         return f'A(b={self._b})'
>>> forge(A, {"b": "3213"})
A(b=[3, 2, 1, 3])

You can use forward refs:

>>> class WithRef:
...    def __init__(self, child: Optional['WithRef']):
...        self._child = child
...    def __repr__(self):
...        return f"WithRef({self._child!r})"
>>> forge(WithRef(WithRef(WithRef())))
WithRef(WithRef(WithRef(None)))

Objects are forged recursively:

>>> @dataclass
... class A:
...     b: 'B'
...     c: 'C'
... @dataclass
... class B:
...     number: int
... @dataclass
... class C:
...     string: str
>>> forge(A, {'b': {'number': 42}, 'c': {'string': 'the-string'}})
A(b=B(number=42), c=C(string='the-string'))

You can register own forge for your classes:

>>> class FooType(Enum):
...     LOREM = "lorem"
...     IPSUM = "ipsum"
...
... class FooParams:
...     types: ClassVar[Mapping[FooType, "FooParams"]] = {}
...     def __init_subclass__(cls, type: FooType):
...        cls.types[type] = cls
...
...    @classmethod
...    def for_type(cls, type):
...        return cls.types[type]
...
... @dataclass
... class LoremFooParams(FooParams, type=FooType.LOREM):
...     lorem: str
...
... @dataclass
... class IpsumFooParams(FooParams, type=FooType.IPSUM):
...     ipsum: int
...
... @dataclass
... class Foo:
...     type: FooType
...     params: FooParams
...
...     @classmethod
...     def forge(cls, _, data, forge):
...         foo_type = forge(FooType, data["type"])
...         return Foo(
...             type=forge(FooType, foo_type),
...             params=forge(FooParams.for_type(foo_type), data["params"])
...         )
...
>>> register_forge(Foo, Foo.forge)
>>> forge(Foo, {"type": "lorem", "params": {"lorem": "foo-bar"}})
Foo(type=<FooType.LOREM: 'lorem'>, params=LoremFooParams(lorem='foo-bar'))
>>> forge(Foo, {"type": "ipsum", "params": {"ipsum": 42}})
Foo(type=<FooType.IPSUM: 'ipsum'>, params=IpsumFooParams(ipsum=42))

Support for CamelCase to snake_case convertion:

>>> class Snake:
...     lorem_ipsum: int
>>> forge = Svarog(snake_case=True).forge
>>> forge(Snake, {"LoremIpsum": 42})
Snake(lorem_ipsum=42)

Features

  • Converts unstructured data into structured recursively

    • Works with dataclasses

    • Works with Sequence, Mapping, Optional

    • Special conventers for types can be registered with

Credits

Some parts of this code, and concept borrowed from cattrs project

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

svarog-0.3.2.tar.gz (8.0 kB view details)

Uploaded Source

Built Distribution

svarog-0.3.2-py3-none-any.whl (9.2 kB view details)

Uploaded Python 3

File details

Details for the file svarog-0.3.2.tar.gz.

File metadata

  • Download URL: svarog-0.3.2.tar.gz
  • Upload date:
  • Size: 8.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.10.11 Linux/5.15.0-1037-azure

File hashes

Hashes for svarog-0.3.2.tar.gz
Algorithm Hash digest
SHA256 d65c6a4f364f9135539e6b93348bc08c668534cc5feb21641c69bcd52ffdc56d
MD5 5fcf180e616041c38402e59ca77d2674
BLAKE2b-256 8598a3ca1de0c32ba1476ce4f7b6d4f20b93aae3a1681918bac97dbde111a994

See more details on using hashes here.

File details

Details for the file svarog-0.3.2-py3-none-any.whl.

File metadata

  • Download URL: svarog-0.3.2-py3-none-any.whl
  • Upload date:
  • Size: 9.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.10.11 Linux/5.15.0-1037-azure

File hashes

Hashes for svarog-0.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 747cb845ec13604e7697a11051b7861266c1ac7629eb0572ebe6fdf9d8503d4c
MD5 3ea6b60b9eb6930caff2d166cf7cf953
BLAKE2b-256 a2019e6fb11ae3236baaea1d3e26b0fb2ec6c06c41ba571ed7f75218cd8ec641

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page