Confetti

Confectionary confetti to confine those confounded configurations confidently

Install in your application

$ pip install boto3
$ pip install git+ssh://git@github.com/AmberEngine/confectionary-confetti.git#egg=confectionary-confetti

You need to install boto3 if it is not already installed. boto3 is not a listed package dependency of confetti.

On AWS Lambda functions boto3 is already present. To include it would result in exceeding the allowed size for lambda code.

It is easier to instead have projects install both confetti and boto3 manually.

Choose a key. Your key will be part of the namespacing of your application's parameters.

$ export CONFETTI_KEY=YourKey

Optionally you can override this in the constructor's keyword arguments.

    config = Confetti(confetti_key='YourKey')

The default value will be 'Development' in either case.

Choose an app name. Your app name will be part of the namespacing of your application's parameters.

$ export CONFETTI_APP=YourApp

Optionally you can override this in the constructor's keyword arguments.

    config = Confetti(confetti_app='YourApp')

The default value will be the class name in either case.

A boto3 session will be created from your AWS config and credentials or role or you can override the session.

    session = boto3.session.Session()
    config = Confetti(session=session)

As an alternative to using the AWS Systems Manager console, you can store parameters by importing from a JSON file.

see also: AWS Systems Manager Parameter Store

[{
    "Name": "APP_URL",
    "Description": "The URL",
    "Value": "http://www.mrcoolice.com/app",
    "Type": "String"
}, {
    "Name": "APP_KEY",
    "Description": "All my passwords and PINs in one parameter",
    "Value": "abcde12345",
    "Type": "SecureString"
}, {
    "Name": "THINGS",
    "Description": "All the things",
    "Value": "thing1, thing2",
    "Type": "StringList"
}]

    # Create YourApp's config
    config = YourApp()

    # Import from JSON
    config.import_parameters('example.json')

Or export parameters to a JSON file so you can modify in bulk.

    # Create YourApp's config
    config = YourApp()

    # Export to JSON
    config.export_parameters('example.json')

Use your parameters in your application

    config = YourApp()

    # Print a specific parameter
    print(config.APP_URL)

    # Print a dictionary of your parameters
    print(config.parameters)

Your Friendly Neighborhood Repository Owner

Jim Garner