statick-tooling 0.1.1

Statick analysis plugins for Tooling files.

Statick Tooling Plugins

This is a set of plugins for Statick that will discover tooling related files and perform static analysis on those files.

Custom exceptions can be applied the same way they are with Statick exceptions.

Table of Contents

• Installation
• Usage
• Existing Plugins
  • Discovery Plugins
  • Tool Plugins
• Contributing
  • Mypy
  • Formatting

Installation

The recommended method to install these Statick plugins is via pip:

python3 -m pip install statick-tooling

You can also clone the repository and use it locally.

Usage

Make sure you install all the dependencies from apt/npm:

cat install.txt | xargs sudo apt-get install -y
cat npm-deps.txt | xargs sudo npm install -g

Pip Install

The most common usage is to use statick and statick-tooling from pip. In that case your directory structure will look like the following:

project-root
 |- tooling-project
 |- statick-config

To run with the default configuration for the statick-tooling tools use:

statick tooling-project/ --output-directory statick-output/ --profile tooling-profile.yaml

Pip Install and Custom Configuration

There are times when you will want to have a custom Statick configuration. This is usually done to run a different set of tools than are called out in the default profile, or to add exceptions. For this case you will have to add the new Statick configuration somewhere. This example will have custom exceptions in the tooling-project, such that the directory structure is:

project-root
 |- tooling-project
 |- statick-config
     |- rsc
         |- exceptions.yaml
 |- statick-output

For this setup you will run the following:

statick tooling-project/ --output-directory statick-output/ --user-paths tooling-project/statick-config/ --profile tooling-profile.yaml

Source Install and Custom Configuration

The last type of setup will be to have all of the tools available from cloning repositories, not installing from pip. The directory structure will look like:

project-root
 |- tooling-project
 |- statick-config
     |- rsc
         |- exceptions.yaml
 |- statick-output
 |- statick
 |- statick-tooling

Using the example where we want to override the default exceptions with custom ones in the tooling-project, the command to run would be:

./statick/statick tooling-project/ --output-directory statick-output/ --user-paths statick-tooling/,tooling-project/statick-config/ --profile tooling-profile.yaml

Existing Plugins

Discovery Plugins

Note that if a file exists without the extension listed it can still be discovered if the file command identifies it as a specific file type. This type of discovery must be supported by the discovery plugin and only works on operating systems where the file command exists.

File Type	Extensions
dockerfile	Dockerfile*

Tool Plugins

Tool	About
dockerfilelint	A rule based 'linter' for Dockerfiles.
dockerfile-lint	A rule based 'linter' for Dockerfiles.
hadolint	Dockerfile linter, validate inline bash, written in Haskell.

Contributing

If you write a new feature for Statick or are fixing a bug, you are strongly encouraged to add unit tests for your contribution. In particular, it is much easier to test whether a bug is fixed (and identify future regressions) if you can add a small unit test which replicates the bug.

Before submitting a change, please run tox to check that you have not introduced any regressions or violated any code style guidelines.

Mypy

Statick Tooling uses mypy to check that type hints are being followed properly. Type hints are described in PEP 484 and allow for static typing in Python. To determine if proper types are being used in Statick Tooling the following command will show any errors, and create several types of reports that can be viewed with a text editor or web browser.

python3 -m pip install mypy
mkdir report
mypy --ignore-missing-imports --strict --html-report report/ --txt-report report src

It is hoped that in the future we will generate coverage reports from mypy and use those to check for regressions.

Formatting

Statick code is formatted using black. To fix locally use

python3 -m pip install black
black src tests