Settings management using Pydantic, with ability to retrieve cloud secrets.


Keywords
one, two
License
MIT
Install
pip install settus==0.0.11

Documentation

Settus

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Settings management using Pydantic Settings with cloud extensions.

settus logo

Settus makes it possible to securely access local and cloud-stored secrets from multiple environments, with pre-defined fallback plans. Supported secrets provider are

  • Azure Keyvault
  • Databricks secrets [IN PROGRESS]
  • AWS Secrets Manager
  • GCP Secrets Manager [IN PROGRESS]

Help

See documentation for more details.

Installation

Install using

pip install laktory[{cloud_provider}]

where {cloud_provider} is azure, aws, databricks or gcp.

For more installation options, see the Install section in the documentation.

A Basic Example

import os
from settus import BaseSettings
from settus import Field

KEYVAULT_URL = "https://o3-kv-settus-dev.vault.azure.net/"
AWS_SECRET_NAME = "vault"

os.environ["MY_ENV"] = "my_value"

class Settings(BaseSettings):
    # Value from environment variable "MY_ENV"
    my_env: str = Field(default="undefined")
    
    # Value from the Azure keyvault named `o3-kv-settus-dev` with secret key `my-secret` 
    my_azure_secret: str = Field(default="undefined", alias="my-secret", keyvault_url=KEYVAULT_URL)
    
    # Value from the secret named `vault` in AWS secrets manager and having the secret key `my-secret`
    my_aws_secret: str = Field(default="undefined", alias="my-secret", aws_secret_name=AWS_SECRET_NAME)

settings = Settings()
print(settings.my_env)
#> my_value
print(settings.my_azure_secret)
#> secret_sauce
print(settings.my_aws_secret)
#> secret_sauce

To get started with more examples, jump into the Quickstart.

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Okube is dedicated to build open source frameworks, the kubes, that empower businesses to build and deploy highly scalable data platforms and AI models. Contributions are more than welcome.