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manageconf

Builds a config object based on environment variables, settings files and (optional) parameters stored in AWS System Manager Parameter Store.

1.1.1
pipPyPI
Maintainers
1

Manage Conf

CircleCI Code style: black

Description

Builds a config object based on environment variables, settings files and (optional) parameters stored in AWS System Manager Parameter Store.

The config object merges in config, overriding any previous key/value pairs, in the following order:

  • ENV
  • default config: default.json
  • stage config: {stage}.json
  • remote config: remote_settings (AWS param store)

Available to download as a package on PyPi.

Settings Files

Set an environment variable with the key name project_config_dir. It is important this is set before the package is imported. The value of project_config_dir should be the location of your /settings folder.

Set-up your settings folder, adding in configuration to the appropriate file.

.
├── settings                  <-- Settings folder
│   ├── default.json          <-- default configuration
│   ├── {stage}.json          <-- stage specific configuration e.g. `local`
│   └── {stage}.json          <-- stage specific configuration e.g. `dev`

Example configuration:

default.json

{
  "project_name": "example-project",
  "DEBUG": false
}
local.json
{
  "DEBUG": true,
  "use_remote_settings": false
}

Local config object:

{
    "project_name": "example-project",
    "DEBUG": True,
    "use_remote_settings": False
}
dev.json
{
  "use_remote_settings": true
}

Dev config object:

{
    "project_name": "example-project",
    "DEBUG": True,
    "use_remote_settings": True
    # and any remote settings from AWS param store
}

AWS Param Store

Project config

Add parameters in your AWS account with paths that match this pattern:

/{project_name}/{stage}/

If you set "use_remote_settings": true in a remote {stage}.json config file, the package will attempt to fetch the parameters from the store that have the specified base path. Using the example configuration above, the path would be:

/example-project/dev/

Global service directory config

Add parameters in your AWS account with paths that match this pattern:

/global/{stage}/service_directory/

Set "global_service_directory": true in a remote {stage}.json config file.

Global service directory config for the {stage} will be merged in.

Usage

Make sure project_config_dir is set before importing the library.

from manageconf import Config, get_config

SECRET_KEY = get_config("SECRET_KEY")
DEBUG = get_config("DEBUG", True)
# default values are an optional second arg and will
# be used if the param cannot be found in the config object

Development

Install

Requires Poetry.

# create a Python3 virtual environment
virtualenv -p python3 env

# activate the virtual env
source env/bin/activate

# install requirements
poetry install

Tests

# run tests
pytest -vv

# coverage report in the Terminal
pytest --cov=manageconf tests/

# coverage report in HTML
pytest --cov-report html --cov=manageconf tests/

Keywords

configuration

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