acme_config 0.0.10

System to store application configuration

acme-config

Description

System to store application configuration

Motivation

To support a release system that can store references to various application artifacts we need a config system that can store environment variables needed by a specific application (i.e. what is put into .env file). Specifically, we want to make the configurations immutable so once they are refered to from a release system they won't change.

Features

• Uses AWS Parameter Store as a storage layer for parameters
• Enforces each parameter needs to be assigned to an application identifier (app-name), an environment identifier (env) and a integer version (ver-number)
• Once parameters are written with such combination of identifiers acme-config prevents from overwriting them.
• Allows to retreive parameters for a given combination of (app-name, env and ver-number) and stores it in a local file in .env file format convenient for editing.
• Allows to set parameters from .env file specified at a file path.
• Each (app-name, env) combination can set a default version number. This can be set with set-version command
• Default version can be retrieved with get-version command. Value will be put to stdout.

Example usage

Requires setup of a default AWS profile e.g. via aws sso login. Can be specified via AWS_PROFILE env var.

To set

ac set -app-name acme-config -env dev -ver-number 1 --params-path .env

To set default version

ac set-version -app-name acme-config -env dev -ver-number 1

To get default version

ac get-version -app-name acme-config -env dev

To fetch

ac fetch -app-name acme-config -env dev -ver-number 1

Will save parameters to a file acme-config.dev.1.env

Dev environment

The project comes with a python development environment. To generate it, after checking out the repo run:

chmod +x create_env.sh

Then to generate the environment (or update it to latest version based on state of uv.lock), run:

./create_env.sh

This will generate a new python virtual env under .venv directory. You can activate it via:

source .venv/bin/activate

If you are using VSCode, set to use this env via Python: Select Interpreter command.

Project template

This project has been setup with acme-project-create, a python code template library.

Required setup post use

• Enable GitHub Pages to be published via GitHub Actions by going to Settings-->Pages-->Source
• Create release environment for GitHub Actions to enable uploads of the library to PyPi
• Setup auth to PyPI for the GitHub Action implemented in .github/workflows/release.yml: Link uv publish doc