Metadata-Version: 2.1 Name: marshmallow-oneofschema Version: 3.1.1 Summary: marshmallow multiplexing schema Author-email: Maxim Kulkin Maintainer-email: Steven Loria Requires-Python: >=3.8 Description-Content-Type: text/x-rst Classifier: Intended Audience :: Developers Classifier: License :: OSI Approved :: MIT License Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3.8 Classifier: Programming Language :: Python :: 3.9 Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: 3.11 Classifier: Programming Language :: Python :: 3.12 Requires-Dist: marshmallow>=3.0.0,<4.0.0 Requires-Dist: marshmallow-oneofschema[tests] ; extra == "dev" Requires-Dist: tox ; extra == "dev" Requires-Dist: pre-commit~=3.5 ; extra == "dev" Requires-Dist: pytest ; extra == "tests" Project-URL: Funding, https://opencollective.com/marshmallow Project-URL: Issues, https://github.com/marshmallow-code/marshmallow-oneofschema/issues Project-URL: Source, https://github.com/marshmallow-code/marshmallow-oneofschema Provides-Extra: dev Provides-Extra: tests ======================= marshmallow-oneofschema ======================= .. image:: https://github.com/marshmallow-code/marshmallow-oneofschema/actions/workflows/build-release.yml/badge.svg :target: https://github.com/marshmallow-code/flask-marshmallow/actions/workflows/build-release.yml :alt: Build Status .. image:: https://badgen.net/badge/marshmallow/3 :target: https://marshmallow.readthedocs.io/en/latest/upgrading.html :alt: marshmallow 3 compatible An extension to marshmallow to support schema (de)multiplexing. marshmallow is a fantastic library for serialization and deserialization of data. For more on that project see its `GitHub `_ page or its `Documentation `_. This library adds a special kind of schema that actually multiplexes other schemas based on object type. When serializing values, it uses get_obj_type() method to get object type name. Then it uses ``type_schemas`` name-to-Schema mapping to get schema for that particular object type, serializes object using that schema and adds an extra field with name of object type. Deserialization is reverse. Installing ---------- :: $ pip install marshmallow-oneofschema Example ------- The code below demonstrates how to set up a polymorphic schema. For the full context check out the tests. Once setup the schema should act like any other schema. If it does not then please file an Issue. .. code:: python import marshmallow import marshmallow.fields from marshmallow_oneofschema import OneOfSchema class Foo: def __init__(self, foo): self.foo = foo class Bar: def __init__(self, bar): self.bar = bar class FooSchema(marshmallow.Schema): foo = marshmallow.fields.String(required=True) @marshmallow.post_load def make_foo(self, data, **kwargs): return Foo(**data) class BarSchema(marshmallow.Schema): bar = marshmallow.fields.Integer(required=True) @marshmallow.post_load def make_bar(self, data, **kwargs): return Bar(**data) class MyUberSchema(OneOfSchema): type_schemas = {"foo": FooSchema, "bar": BarSchema} def get_obj_type(self, obj): if isinstance(obj, Foo): return "foo" elif isinstance(obj, Bar): return "bar" else: raise Exception("Unknown object type: {}".format(obj.__class__.__name__)) MyUberSchema().dump([Foo(foo="hello"), Bar(bar=123)], many=True) # => [{'type': 'foo', 'foo': 'hello'}, {'type': 'bar', 'bar': 123}] MyUberSchema().load( [{"type": "foo", "foo": "hello"}, {"type": "bar", "bar": 123}], many=True ) # => [Foo('hello'), Bar(123)] By default get_obj_type() returns obj.__class__.__name__, so you can just reuse that to save some typing: .. code:: python class MyUberSchema(OneOfSchema): type_schemas = {"Foo": FooSchema, "Bar": BarSchema} You can customize type field with `type_field` class property: .. code:: python class MyUberSchema(OneOfSchema): type_field = "object_type" type_schemas = {"Foo": FooSchema, "Bar": BarSchema} MyUberSchema().dump([Foo(foo="hello"), Bar(bar=123)], many=True) # => [{'object_type': 'Foo', 'foo': 'hello'}, {'object_type': 'Bar', 'bar': 123}] You can use resulting schema everywhere marshmallow.Schema can be used, e.g. .. code:: python import marshmallow as m import marshmallow.fields as f class MyOtherSchema(m.Schema): items = f.List(f.Nested(MyUberSchema)) License ------- MIT licensed. See the bundled `LICENSE `_ file for more details.