azure-keyvault-cli 0.3.2

This is a CLI to show and check secrets from an Azure KeyVault

Azure KeyVault CLI

This is a CLI tool to interact with an Azure KeyVault. You can use it to easily list and show secrets. Additionally, you can use it to check the expiration date of all the secrets in your KeyVault.

Installation

Install with pip

To install the latest stable version from PyPI, run:

pip3 install azure-keyvault-cli

To install the latest version (potentially not stable) from TestPyPI, run:

pip3 install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple azure-keyvault-cli

If you want to have it globally available, make sure to run it in your global python environment.

Usage

azkv --help

Contributing

Installation

1. Install poetry
2. Run: poetry install

If you get an error No such file or directory: 'python'. Try settings an alias for python3:

alias python=python3

or activate an existing virtual environment.

Usage

Make sure the right virtual env is activated, then you can use the local version of the cli by running, e.g.:

azkv --help

Testing

To run the tests, run:

poetry run pytest
# with coverage
poetry run pytest --cov=cli --cov-report=xml --cov-report=term-missing

Formatting

To format the code, run:

poetry run black .

Linting

To lint the code, run:

poetry run ruff .

If you want to have it globally available, make sure to run it in your global python environment.

Usage

azkv --help

Contributing

Installation

1. Install poetry
2. Run: poetry install

If you get an error No such file or directory: 'python'. Try settings an alias for python3:

alias python=python3

or activate an existing virtual environment.

Usage

Make sure the right virtual env is activated, then you can use the local version of the cli by running, e.g.:

azkv --help

Testing

To run the tests, run:

poetry run pytest
# with coverage
poetry run pytest --cov=cli --cov-report=xml --cov-report=term-missing

Formatting

To format the code, run:

poetry run black .

Linting

To lint the code, run:

poetry run ruff .

Releasing

Bump version

First, bump the version in the pyproject.toml file. You can do this manually or by running:

poetry version <major|minor|patch>

Then commit the changes and push them to the remote repository. Additionally, add a tag to the commit with the new version number. You can do this by running:

version=$(poetry version --short)
git checkout -b release-${version}
git add pyproject.toml
git commit -m "Bump version to ${version}"
git push --set-upstream origin release-${version}
git tag -a ${version} -m "Release ${version}"
git push origin ${version}

Create pull request

Create a pull request from the release branch to the main branch. The pull request will trigger the test workflow. The workflow will run the tests and check the formatting and linting of the code. You can create a pull request by running:

version=$(poetry version --short)
gh pr create --title "Release ${version}" --body "Release ${version}" --base main --head release-${version}

Create release

After the pull request has been merged, the release workflow will be triggered. The workflow will create a new release and publish the package to PyPI. Be aware that this workflow needs to be manually approved before it will be executed.