oscal-pydantic


Nameoscal-pydantic JSON
Version 2023.3.21 PyPI version JSON
download
home_page
SummaryA set of Pydantic models generated from the OSCAL specification.
upload_time2023-03-21 11:33:16
maintainer
docs_urlNone
author
requires_python>=3.7
license
keywords oscal oscal pydantic
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # OSCAL Pydantic

## Description
A simple module that contains pydantic datamodels representing the OSCAL standard. They are built from the OSCAL models published by NIST at https://github.com/usnistgov/OSCAL

Several Python projects include data models, but importing a large project just to get access to the datamodel represents a significant overhead. This module simply provides the models.

## Installation

pip install oscal-pydantic

## Usage

To import a specific model, include it in your python file:

e.g.: from oscal_pydantic import catalog

Alternatively, you can import the complete OSCAL schema:

from oscal_pydantic import complete

After importing, you should be able to define OSCAL objects that support pydantic's rich validation rules.

## License

This code is released under the [CC0 1.0 Universal Public Domain Dedication] (https://creativecommons.org/publicdomain/zero/1.0/).

            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "oscal-pydantic",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.7",
    "maintainer_email": "",
    "keywords": "oscal,OSCAL,pydantic",
    "author": "",
    "author_email": "Robert Sherwood <robert.sherwood@credentive.com>",
    "download_url": "https://files.pythonhosted.org/packages/41/c8/033c88f565f13e88494182a66f141cfb172e36c57176051ce65bad189028/oscal-pydantic-2023.3.21.tar.gz",
    "platform": null,
    "description": "# OSCAL Pydantic\n\n## Description\nA simple module that contains pydantic datamodels representing the OSCAL standard. They are built from the OSCAL models published by NIST at https://github.com/usnistgov/OSCAL\n\nSeveral Python projects include data models, but importing a large project just to get access to the datamodel represents a significant overhead. This module simply provides the models.\n\n## Installation\n\npip install oscal-pydantic\n\n## Usage\n\nTo import a specific model, include it in your python file:\n\ne.g.: from oscal_pydantic import catalog\n\nAlternatively, you can import the complete OSCAL schema:\n\nfrom oscal_pydantic import complete\n\nAfter importing, you should be able to define OSCAL objects that support pydantic's rich validation rules.\n\n## License\n\nThis code is released under the [CC0 1.0 Universal Public Domain Dedication] (https://creativecommons.org/publicdomain/zero/1.0/).\n",
    "bugtrack_url": null,
    "license": "",
    "summary": "A set of Pydantic models generated from the OSCAL specification.",
    "version": "2023.3.21",
    "split_keywords": [
        "oscal",
        "oscal",
        "pydantic"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "e5da21347a316fb0c4722e3d1d3cb05da6b0b3c579057d2ec80df3eec9abef76",
                "md5": "a1dcba36315812449a65ba91c3698dc5",
                "sha256": "846793409f247ad9fb47e0ebec9af4dd9d6cf6acc52f4a1a2e3e37fe76598d7d"
            },
            "downloads": -1,
            "filename": "oscal_pydantic-2023.3.21-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "a1dcba36315812449a65ba91c3698dc5",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.7",
            "size": 106645,
            "upload_time": "2023-03-21T11:33:14",
            "upload_time_iso_8601": "2023-03-21T11:33:14.559778Z",
            "url": "https://files.pythonhosted.org/packages/e5/da/21347a316fb0c4722e3d1d3cb05da6b0b3c579057d2ec80df3eec9abef76/oscal_pydantic-2023.3.21-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "41c8033c88f565f13e88494182a66f141cfb172e36c57176051ce65bad189028",
                "md5": "83a1d7cc144705cb23d6d5e466837753",
                "sha256": "576840734f4405aa647b5296f8756ee7e5c88a5f7c7629beb7739640e9dfbc8a"
            },
            "downloads": -1,
            "filename": "oscal-pydantic-2023.3.21.tar.gz",
            "has_sig": false,
            "md5_digest": "83a1d7cc144705cb23d6d5e466837753",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.7",
            "size": 87747,
            "upload_time": "2023-03-21T11:33:16",
            "upload_time_iso_8601": "2023-03-21T11:33:16.511447Z",
            "url": "https://files.pythonhosted.org/packages/41/c8/033c88f565f13e88494182a66f141cfb172e36c57176051ce65bad189028/oscal-pydantic-2023.3.21.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-03-21 11:33:16",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "lcname": "oscal-pydantic"
}
        
Elapsed time: 0.05554s