Vault for storing locally encrypted data in S3 using KMS keys
Project description
nitor-vault
Python vault implementation using the Rust vault library.
See the repo root readme for more general information.
Vault CLI
Encrypted AWS key-value storage utility
Usage: vault [OPTIONS] [COMMAND]
Commands:
all, -a, --all List available secrets [aliases: a, list, ls]
completion, --completion Generate shell completion
delete, -d, --delete Delete an existing key from the store [aliases: d]
describe, --describe Print CloudFormation stack parameters for current configuration
decrypt, -y, --decrypt Directly decrypt given value [aliases: y]
encrypt, -e, --encrypt Directly encrypt given value [aliases: e]
exists, --exists Check if a key exists
info, --info Print vault information
id Print AWS user account information
status, --status Print vault stack information
init, -i, --init Initialize a new KMS key and S3 bucket [aliases: i]
update, -u, --update Update the vault CloudFormation stack [aliases: u]
lookup, -l, --lookup Output secret value for given key [aliases: l]
store, -s, --store Store a new key-value pair [aliases: s]
help Print this message or the help of the given subcommand(s)
Options:
-b, --bucket <BUCKET> Override the bucket name [env: VAULT_BUCKET=]
-k, --key-arn <ARN> Override the KMS key ARN [env: VAULT_KEY=]
-p, --prefix <PREFIX> Optional prefix for key name [env: VAULT_PREFIX=]
-r, --region <REGION> Specify AWS region for the bucket [env: AWS_REGION=]
--vaultstack <NAME> Specify CloudFormation stack name to use [env: VAULT_STACK=]
--id <ID> Specify AWS IAM access key ID
--secret <SECRET> Specify AWS IAM secret access key
--profile <PROFILE> Specify AWS profile name to use [env: AWS_PROFILE=]
-q, --quiet Suppress additional output and error messages
-h, --help Print help (see more with '--help')
-V, --version Print version
Install
From PyPI
Use pipx or uv to install the Python vault package from PyPI globally in an isolated environment.
pipx install nitor-vault
# or
uv tool install nitor-vault
The command vault
should now be available in path.
From source
Build and install locally from source code using pip. This requires a Rust toolchain to be able to build the Rust library. From the repo root:
cd python-pyo3
pip install .
# or with uv
uv pip install .
Check the command is found in path. If you ran the install command inside a virtual env, it will only be installed inside the venv, and will not be available in path globally.
which -a vault
Vault library
This Python package can also be used as a Python library to interact with the Vault directly from Python code.
Add the nitor-vault
package to your project dependencies,
or install directly with pip.
Example usage:
from n_vault import Vault
if not Vault().exists("key"):
Vault().store("key", "value")
keys = Vault().list_all()
value = Vault().lookup("key")
if Vault().exists("key"):
Vault().delete("key")
# specify vault parameters
vault = Vault(vault_stack="stack-name", profile="aws-credentials-name")
value = vault.lookup("key")
Development
Uses:
- PyO3 for creating a native Python module from Rust code.
- Maturin for building and packaging the Python module from Rust.
Workflow
You can use uv or the traditional Python and pip combo.
First, create a virtual env:
# uv
uv sync --all-extras
# pip
python3 -m venv .venv
source .venv/bin/activate
pip install '.[dev]'
After making changes to Rust code, build and install module:
# uv
uv run maturin develop
# venv
maturin develop
Run Python CLI:
# uv
uv run python/n_vault/cli.py -h
# venv
python3 python/n_vault/cli.py -h
Install and run vault inside virtual env:
# uv
uv pip install .
uv run vault -h
# venv
pip install .
vault -h
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