The Auditree evidence removal tool.
Auditree prune is a command line tool that assists in managing evidence locker
abandoned evidence. It provides a thoughtful way to remove evidence from an
evidence locker while retaining the evidence metadata so that, if necessary,
retrieving the removed evidence from git history is made easier. Auditree prune
does this by handling the removal of the evidence file(s) from an evidence locker
git repository and providing "tombstoned" metadata that can be used to map back to
a point in time where the evidence still existed in the evidence locker.
- Supported for execution on OSX and LINUX.
- Supported for execution with Python 3.6 and above.
Python 3 must be installed, it can be downloaded from the Python site or installed using your package manager.
Python version can be checked with:
python --versionor
python3 --versionThe prune tool is available for download from PyPI.
It is best practice, but not mandatory, to run prune from a dedicated Python
virtual environment. Assuming that you have the Python virtualenv
package already installed, you can create a virtual environment named venv by
executing virtualenv venv which will create a venv folder at the location of
where you executed the command. Alternatively you can use the python venv module
to do the same.
python3 -m venv venvAssuming that you have a virtual environment and that virtual environment is in
the current directory then to install a new instance of prune, activate
your virtual environment and use pip to install prune like so:
. ./venv/bin/activate
pip install auditree-pruneAs we add new features to prune you will want to upgrade your prune
package. To upgrade prune to the most recent version do:
. ./venv/bin/activate
pip install auditree-prune --upgradeSee pip documentation for additional options when using pip.
Since Auditree prune interacts with Git repositories, it requires Git remote
hosting service credentials in order to do its thing. Auditree prune will by
default look for a username and token in a ~/.credentials file. You can
override the credentials file location by using the --creds option on a prune
CLI execution. Valid section headings include github, github_enterprise, bitbucket,
and gitlab. Below is an example of the expected credentials entry.
[github]
username=your-gh-username
token=your-gh-tokenAuditree prune is a simple CLI that performs the function of archiving off
abandoned evidence. As such, it has two execution modes; a push-remote mode and
a dry-run mode. Both modes will clone a git repository and place it into the
$TMPDIR/prune folder. Both modes will also provide handy progress output as
prune processes the abandoned evidence. The final step in both modes is to remove
the locally cloned repository from the temp directory. However, push-remote will
push the changes to the remote repository before removing the locally cloned copy
whereas dry-run will not.
As most CLIs, Auditree prune comes with a help facility.
prune -hprune push-remote -hprune dry-run -hUse the push-remote mode when you want your changes to be applied to the remote
evidence locker. You can provide as many evidence path/reason for removal
key/value pairs as you need as part of the --config or as contents of your
--config-file.
prune push-remote https://github.com/org-foo/repo-bar --config '{"raw/foo/bar.json":"bar.json is abandoned",...}'prune push-remote https://github.com/org-foo/repo-bar --config-file ./path/to/my/prune/evidence.jsonUse the dry-run mode when you want don't your changes to be applied to the remote
evidence locker and are just interested in seeing what effect the execution will have
on our evidence locker before you commit to pushing your changes to the remote repository.
You can provide as many evidence path/reason for removal key/value pairs as you
need as part of the --config or as contents of your --config-file.
prune dry-run https://github.com/org-foo/repo-bar --config '{"raw/foo/bar.json":"bar.json is abandoned",...}'prune dry-run https://github.com/org-foo/repo-bar --config-file ./path/to/my/prune/evidence.json