{
    "info": {
        "author": "Mike Alfare",
        "author_email": "alfare@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "License :: OSI Approved :: Apache Software License",
            "Operating System :: Microsoft :: Windows",
            "Programming Language :: Python :: 3.7",
            "Topic :: Database"
        ],
        "description": "# Datarade\n\n**This library provides tools to allow users to describe data pipelines in yaml format.**\n\n---\n\n# Overview\n\nThis library separates the 'how' from the 'what' when sourcing datasets and producing data pipelines.\nThe definition of a dataset is stored in a git repository and referenced by name in the client application.\nThis allows the definition to be source controlled independently from the client application.\n\n# Requirements\n\n- Python 3.7+\n- sqlalchemy\n- marshmallow\n- pyyaml\n- pyodbc\n- pymssql\n- bcp\n- requests\n- requests_ntlm\n\n# Installation\n\nThis package is hosted on PyPI:\n\n```shell script\npip install datarade\n```\n\n# Examples\n\nUse the dataset catalog services to obtain datasets:\n```python\nfrom datarade.services.dataset_catalog import api\n\ndataset_repository_url = 'https://raw.githubusercontent.com/mikealfare/dataset_catalog_test/master'\ndataset = api.get_dataset(dataset_name='my_dataset',\n                          dataset_repository_url=dataset_repository_url,\n                          dataset_catalog='catalog')\nprint(dataset.definition)\n```\n\nUse the dataset subscription services to move datasets to a database:\n```python\nfrom datarade.services.dataset_subscription import api\n\ndataset_name = 'test_dataset'\ndataset_repository_url = 'https://raw.githubusercontent.com/mikealfare/dataset_catalog_test/master'\napi.register_dataset_container(dataset_container_id='test',\n                               dataset_repository_url=dataset_repository_url,\n                               dataset_catalog='catalog',\n                               driver='mssql',\n                               database_name='my_db',\n                               host='my_host',\n                               port=54321,\n                               schema_name='my_schema'\n                               )\napi.add_dataset(dataset_container_id='test',\n                dataset_name=dataset_name,\n                dataset_username='user',\n                dataset_password='password1234')\napi.refresh_dataset(dataset_container_id='test', dataset_name=dataset_name)\n```\n\n# Full Documentation\n\nFor the full documentation, please visit: https://datarade.readthedocs.io/en/latest/\n",
        "description_content_type": "text/markdown",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/mikealfare/datarade",
        "keywords": "datarade mssql database",
        "license": "",
        "maintainer": "",
        "maintainer_email": "",
        "name": "datarade",
        "package_url": "https://pypi.org/project/datarade/",
        "platform": "",
        "project_url": "https://pypi.org/project/datarade/",
        "project_urls": {
            "Homepage": "https://github.com/mikealfare/datarade"
        },
        "release_url": "https://pypi.org/project/datarade/0.1.2/",
        "requires_dist": [
            "sqlalchemy >=1.3.8,<2.0",
            "marshmallow >=3.2.0,<4.0",
            "pyyaml >=5.1.2,<6.0",
            "pyodbc >=4.0.27,<5.0",
            "pymssql >=2.1.4,<3.0",
            "bcp >=0.2.1,<0.3",
            "requests >=2.22.0,<3.0",
            "requests_ntlm >=1.1.0,<2.0",
            "sphinx >=2.2.0,<3.0; extra == \"doc\"",
            "sphinx-autodoc-typehints >=1.8.0,<2.0; extra == \"doc\"",
            "sphinx_rtd_theme >=0.4.3,<0.5; extra == \"doc\"",
            "pytest >=5.1.3,<6.0; extra == \"test\"",
            "pytest-cov >=2.7.1,<3.0; extra == \"test\""
        ],
        "requires_python": ">=3.7,<4.0",
        "summary": "This library provides tools to allow users to describe data pipelines in yaml format.",
        "version": "0.1.2"
    },
    "last_serial": 5992654,
    "releases": {
        "0.1.2": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "410e36c7a6fa5473e2c263488bb20493",
                    "sha256": "2fa74c93666a7f17183fe210d56c6d0cf3b56293748f728cd4db51f3539bf422"
                },
                "downloads": -1,
                "filename": "datarade-0.1.2-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "410e36c7a6fa5473e2c263488bb20493",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3.7,<4.0",
                "size": 64902,
                "upload_time": "2019-10-17T22:20:08",
                "url": "https://files.pythonhosted.org/packages/2c/bf/5b9bc61f04c1e9c1779d060fce679c805f7e24e2730dfc1bcaf932d0ed5c/datarade-0.1.2-py3-none-any.whl"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "410e36c7a6fa5473e2c263488bb20493",
                "sha256": "2fa74c93666a7f17183fe210d56c6d0cf3b56293748f728cd4db51f3539bf422"
            },
            "downloads": -1,
            "filename": "datarade-0.1.2-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "410e36c7a6fa5473e2c263488bb20493",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.7,<4.0",
            "size": 64902,
            "upload_time": "2019-10-17T22:20:08",
            "url": "https://files.pythonhosted.org/packages/2c/bf/5b9bc61f04c1e9c1779d060fce679c805f7e24e2730dfc1bcaf932d0ed5c/datarade-0.1.2-py3-none-any.whl"
        }
    ]
}