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    "info": {
        "author": "Douglas Treadwell",
        "author_email": "douglas.treadwell@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: Implementation :: CPython",
            "Programming Language :: Python :: Implementation :: PyPy"
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        "description": "Schematics Factory\n==================\n\n\nInspired by [Voluptuous](https://github.com/alecthomas/voluptuous).\n\nIt's sometimes inconvenient to define\nnamed [Schematics](https://github.com/schematics/schematics)\nModels, especially when those models are deeply nested.\n\nExample:\n\n```\nclass InnerModel(Model):\n    inner_bool = BooleanType()\n\n\nclass MiddleModel(Model):\n    middle_int = IntType()\n    middle_nested = ModelType(InnerModel)\n\n\nclass OuterModel(Model):\n    outer_str = StringType()\n    outer_nested = ModelType(MiddleModel)\n\n\nmodel_instance = OuterModel(input_)\nmodel_instance.validate()\n```\n\nSo, this library provides a convenient syntax for defining\ndeeply nested Models.\n\n```\nfrom schematics_factory import model\n\nOuterModel = model({\n    'outer_str': StringType(),\n    'outer_nested': ModelType(model({\n        'middle_int': IntType(),\n        'middle_nested': ModelType(model({\n            'inner_bool': BooleanType()\n        }))\n    }))\n})\n\nmodel_instance = OuterModel(input_)\nmodel_instance.validate()\n```\n\nThe model() function can also be imported as _model_factory_.\n\nAlternative Syntax\n------------------\n\nSchema factory arguments can also be supplied as keyword\narguments rather than a dictionary.\n\n```\nPerson = model(name=StringType(), age=IntType())\n\nperson = Person(dict(name='Test', age=27))\n\nperson.validate()\n```\n\nFor nested Models, a concise __nested()__ convenience function\nis provided to replace ModelType(model(...)) with nested(...).\nThe nested() function can also be imported as _nested_model_.\n\n```\nfrom schematics_factory import model, nested\n\nPerson = model(name=StringType(), pet=nested(name=StringType()))\n\nperson = Person(dict(name='Test', pet=dict(name='Rover')))\n\nperson.validate()\n```\n\nNested models can also be provided as plain dictionary literals.\n\n```\nPerson = model(name=StringType(), pet=dict(name=StringType()))\n\nperson = Person(dict(name='Test', pet=dict(name='Rover')))\n\nperson.validate()\n```\n\nOr equivalently...\n\n```\nPerson = model({\n    'name': StringType(),\n    'pet': {\n        'name': StringType()\n    }\n})\n\nperson = Person({\n    'name': 'Test',\n    'pet': {\n        'name': 'Rover'\n    }\n})\n\nperson.validate()\n```\n\n\n",
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        "home_page": "https://github.com/douglas-treadwell/schematics-factory",
        "keywords": "schematics,validation,schema,model,models,modelling,object,objects",
        "license": "MIT",
        "maintainer": "",
        "maintainer_email": "",
        "name": "schematics-factory",
        "package_url": "https://pypi.org/project/schematics-factory/",
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        "summary": "Convenient anonymous and nested models using dict literal syntax for Schematics.",
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