{
    "info": {
        "author": "Musyoka Morris",
        "author_email": "musyokamorris@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: Implementation :: PyPy",
            "Topic :: Software Development :: Libraries"
        ],
        "description": "********************************************\ndynamongo: Pythonic DynamoDB models\n********************************************\n\n**dynamongo** is Python ORM/framework-agnostic library for DynamoDB.\nIt is highly inspired by the PyMongo project.\nThis documentation attempts to explain everything you need to know to use dynamongo.\n\n.. code-block:: python\n\n    import datetime\n    from dynamongo import Model, Connection\n    from dynamongo import IntField, StringField, ListField, EmailField, DateTimeField\n\n    # This only need be called once. Alternatively, it can be set using env variables\n    Connection.set_config(\n        access_key_id='<KEY>',\n        secret_access_key='<SECRET>',\n        table_prefix='test-'\n    )\n\n\n    class User(Model):\n        __table__ = 'users'\n        __hash_key__ = 'email'\n\n        email = EmailField(required=True)\n        name = StringField(required=True)\n        year_of_birth = IntField(max_value=2018, min_value=1900)\n        cities_visited = ListField(StringField)\n        created_at = DateTimeField(default=datetime.datetime.now)\n\n\n    # store data to DynamoDB\n    john = User.save_one({\n        'email': 'johndoe@gmail.com',\n        'name': 'John Doe',\n        'year_of_birth': 1990,\n        'cities_visited': ['Nairobi', 'New York']\n    })\n\n    # year_of_birth, cities_visited & created_at are all optional\n    jane = User.save_one({\n        'email': 'jane@gmail.com',\n        'name': 'Jane Doe'\n    })\n\n    # Access attribute values\n    print(john.name)\n\n    # Fetch data from dynamoDB\n    user = User.get_one(User.email == 'johndoe@gmail.com')\n    print(user.to_dict())\n\n\nIn short, dynamongo models can be used to easily:\n\n- **validate** input data\n- **save** serialized data to DynamoDB\n- **read** and deserialize data from DynamoDB\n- **delete** items from DynamoDB\n- **update** data in DynamoDB\n\n\nGet It Now\n==========\n\n::\n\n    $ pip install dynamongo\n\n\nDocumentation\n=============\n\nFull documentation is available at http://dynamongo.readthedocs.io/ .\n\nRequirements\n============\n\n- Python >= 3.5",
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        "keywords": "aws,dynamo,dynamodb,ormserialization,deserialization,validation",
        "license": "MIT",
        "maintainer": "",
        "maintainer_email": "",
        "name": "dynamongo",
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        "summary": "A lightweight library for interacting with AWS dynamoDB in a pythonic way,inspired by pymongo",
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