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ChaosIQ plugins for the Chaos Toolkit project

Project description

# chaosiq client

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Client to the [ChaosIQ][chaosiq] services.

[chaosiq]: [chaostoolkit]:

## Overview

This open-source project provides a simple client to the [ChaosIQ][chaosiq] services. Namely it supports the following features:

  • a command line interface to manage your local chaosiq configuration
  • an extension to the [chaostoolkit][chaostoolkit] discover, init and run commands which interface with the ChaosIQ API to enrich your user experience of the chaostoolkit default behavior.

## Install

Once you have installed the requirements below, you can install the chaosiq client as follows:

`console (chaosiq) $ pip install -U chaosiq `

## Usage

### The chaosiq CLI

The chaosiq client comes with a chaosiq command line interface. That CLI provides a few commands to manage your local chaosiq configuration.

From your virtual environment, invoke it as follows:

`console (chaosiq) $ chaosiq --help `

#### Create a default configuration

To talk with the ChaosIQ services, you will need a token, stored locally in your configuration file. You can intiailize such configuration file as follows:

`console (chaosiq) $ chaosiq config init `

The configuration is located at ~/.chaosiq/config.

#### Add your token

You must add your ChaosIQ token to the configuration file under auth/token. To do so, simply run:

`console (chaosiq) $ chaosiq login Email: Token: `

### The chaostoolkit CLI overloading

In addition to its own set of commands, the client overloads the chaostoolkit CLI to enrich it.

#### The discover overloading

The chaosiq client overloads the discover command by taking its output and sending it to the [ChaosIQ][chaosiq] API endpoint. The returned output from that call is added to the original discovery result.

So here is what happens when you run:

`console $ chaos discover chaostoolkit-kubernetes `

As you have installed the chaosiq client, the chaoostoolkit discover command will perform as usual, and discover capabilities from the given extension package (as well as discovering your system, Kubernetes in this case). That is the builtin discover support from chaostoolkit. On top of that, chaosiq will extend this by sending discovered features to the chaosiq API which will return a set of potential experiments that could be run with those parameters.

#### The init overloading

The chaosiq client overloads the init command by offering you the possibility to initialize your experiment from one of the suggested experiments found via the discover command. This makes it easier to get started as you don’t have to create an experiment step by step. Notice, that you may still do so when none of the suggested experiments is appropriate.

#### The run overloading

The chaosiq client overloads the run command. It merely sends the journal to the ChaosIQ service for better suggestions next time around.

## Requirements

### Python

To install this client, you need [Python 3.5][python] or above installed on your machine:


On MacOSX:

`console $ brew install python3 `

On Debian/Ubuntu:

`console $ sudo apt-get install python3 python3-venv `

On CentOS:

`console $ sudo yum -y install $ sudo yum -y install python35u `

Notice, on CentOS, the Python 3.5 binary is named python3.5 rather than python3 as other systems.

On Windows:

[Download the latest binary installer][wininst] from the Python website.


### Virtual Environment

Once Python is installed, create a [Python virtual environment][venv]:


`console $ python3 -m venv ~/.venvs/chaosiq `

Make sure to activate thsi environment every time you want to run chaosiq:

`console $ source  ~/.venvs/chaosiq/bin/activate `

## Contribute

If you wish to contribute more functions to this package, you are more than welcome to do so. Please, fork this project, make your changes following the usual [PEP 8][pep8] code style, sprinkling with tests and submit a PR for review.


[chaosiq][chaosiq] requires all contributors must sign a [Developer Certificate of Origin][dco] on each commit they would like to merge into the master branch of the repository. Please, make sure you can abide by the rules of the DCO before submitting a PR.


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