aws-config 0.1.5

Welcome to aws_config Documentation

aws_config is a well-defined configuration management framework for multi-environment applications that uses AWS services as the configuration backend. This library is built from years of Amazon best practices for managing application configurations at scale.

The framework provides hierarchical configuration management with inheritance, automatic parameter generation for different environments (dev, test, prod), and seamless integration with AWS SSM Parameter Store and S3. It eliminates configuration drift between environments while maintaining security through proper secret management.

Key benefits include type-safe configuration classes, environment-specific parameter validation, automated deployment to AWS backend services, and built-in configuration inheritance that reduces duplication across environments.

from aws_config import BaseConfig, BaseEnv, BaseEnvNameEnum
from pydantic import Field

class EnvNameEnum(BaseEnvNameEnum):
    dev = "dev"
    prod = "prod"

class Env(BaseEnv):
    username: str = Field()
    password: str = Field()

class Config(BaseConfig[Env, EnvNameEnum]):
    pass

config = Config(
    data={
        "_defaults": {
            "*.project_name": "my_app",
        }
        "dev": {
            "username": "alice"
        },
        "prod": {
            "username": "bob"
        }
    },
    secret_data={
        "dev": {
            "username": "alice-pwd"
        },
        "prod": {
            "username": "bob-pwd"
        }
    },
    EnvClass=Env,
    EnvNameEnumClass=EnvNameEnum,
)
env = config.get_env(EnvNameEnum.dev)

$ pip install aws-config

$ pip install --upgrade aws-config