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    "info": {
        "author": "Preetam Shingavi",
        "author_email": "p.shingavi@yahoo.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: BSD License",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Software Development :: Libraries :: Python Modules"
        ],
        "description": "# waddle\nthe penguins api and tooling around aws's parameter store\n![codebuild](https://codebuild.us-east-2.amazonaws.com/badges?uuid=eyJlbmNyeXB0ZWREYXRhIjoiUU82MEFwb2JTUzJ2OFJSOUI4eURSc01BNnBNb04zVTRvaUZxTERxb3U3Ui9HdkVJRUllOHBUdlNXVGpGVXpUeXllVkVncVE4cDIxcFBIMzh6SFFMUWFzPSIsIml2UGFyYW1ldGVyU3BlYyI6IkJlcmc3clNIbVVBaFRCWFUiLCJtYXRlcmlhbFNldFNlcmlhbCI6MX0%3D&branch=master)\n\n## ParamBunch\n\nLets you access secrets stored in a file or from parameter store!\n\n### From a file\n\nCreate a file called test.yml that will hold your config.  \nIt can include both secrets and non-secrets\n\n```yaml\nmeta:\n  kms_key: dev\n  region: us-west-2\n  profile: mycompany\naws.username: aws-user\n```\n\nNow add a secret to that file using the waddle cli\n\n```bash\nwaddle -f /path/to/test.yml aws.password\n```\n\nwaddle will prompt you to enter in the secret.  As long as you have a \nkms key called dev, waddle will add a kms-data-key-encrypted secret into \n`test.yml`.  \n\nNow you can access configuration values in the test.yml configuration file\nusing the following syntax:\n\n```python\nfrom waddle import ParamBunch\nconf = ParamBunch(filename='/path/to/test.yml')\nAWS_USERNAME = conf.aws.username\nAWS_PASSWORD = conf.get('aws.password', 'some default value')\n```  \n\n### But I want to use parameter store </whine>\n\nYou can also load configs straight from AWS parameter store by providing a \nprefix.\n\n```python\nfrom waddle import ParamBunch\nconf = ParamBunch(prefix='/path/to/parameters')\n# Access /path/to/paramaters/aws/username\nAWS_USERNAME = conf.aws.username\n```  \n\n## want to waddle your secrets up to SSM from a file?\n\nIn certain cases, you may want to keep files locally, but then push them\nto aws as part of CI/CD.  For example, if you want to keep a centralized \nrepository of your secrets that is shared among developers, you can encrypt\nsecrets in your config files using waddle.  For application deployment, you can\npush those files up to ssm using `waddle deploy` and/or delete them from ssm\nusing `waddle undeploy`.\n\n```bash\nwaddle deploy -f /path/to/params.yml\n```\n\n- or -\n\n```bash\nwaddle undeploy -f /path/to/params.yml\n```\n\n## Bunch\n\nA class that offers pathy semantics \nto access values in a dictionary.\n\n### Bunch -- general usage\ne.g.,\n\n```python\nfrom waddle import Bunch\nvalues = {\n    'a': {\n        'b': {\n            'c': True,\n            'd': False,\n        },        \n    },\n}\na = Bunch(values)\nassert a.b.c == True\nassert a.b.d == False\na.cat.name = 'mycat'\nassert a['cat.name'] == 'mycat'\nassert 'cat.age' in a == False\nassert a.get('cat.age', 22) == 22\nassert a.setdefault('cat.age', 45) == 45\n``` \n\n### Bunch -- env\n\nYou can use the built-in `env` function to use\nthe dictionary as a set of default values that\ncan be overridden by environment variables.\n\ne.g.,\n\n```python\nimport os\nfrom waddle import Bunch\nos.environ['FTP_PASSWORD'] = 'password'\nconfig = {\n    'ftp': {\n        'host': '127.0.0.1',\n        'user': 'user',\n    }\n}\nconfig = Bunch(config)\nenv = config.env()\nassert env('FTP_PASSWORD') == 'password'\nassert env('FTP_HOST') == '127.0.0.1'\n```\n\n\n",
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        "keywords": "aws python parameter-store kms",
        "license": "BSD",
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        "name": "waddle",
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