Writing custom modules for Ansible
What is Ansible and what is a
If you are a big fan of automation, if you are focused on spreading and building software in line with DevOps culture, tools related with automation / configuration management like Chef or Ansible are probably well known to you. From the other hand that what differentiates those tools is a topic for a next blog post. Without diving into those differences, let’s briefly zoom into details for those people which do not know what Ansible and modules are.
Ansible is a free-software platform for configuring and managing machines. It combines deployment, ad-hoc tasks execution and configuration management. This tool uses YAML and declarative way of defining steps, which are modifying state of your fleet. Module is a single piece of those steps, a well defined way of executing certain tasks on the remote infrastructure. It executes commands, and communicates by outputting JSON to standard output - it means that it can be written in any programming or scripting language.
Before we’ll start actual implementation we need to know how it works underneath.
If you want to write a custom module, we stated above that you have to be aware of two things. Your module code will be executed on the provisioned machine, so all dependencies which your module requires, have to be there. Second, your module communicates over specific input and output protocols. It uses certain syntax for sending input parameters (either sent as a
stdin or a file) and JSON protocol which will be consumed as an output of the module. And nothing more - any other, non-JSON compliant output will be treated as an error, and would not be consumed by Ansible properly.
We would like to consume XMLified status pages and do certain actions based on checked and exposed facts, scraped from aforementioned place. Because I like Erlang, I will use that language to implement that module. We will do it using
escript. What is it? Quoting official documentation:
escriptprovides support for running short Erlang programs without having to compile them first and an easy way to retrieve the command line arguments.
Besides way of executing code, we need to use an XML parser and HTTP client - in both cases we will use built-in thins from Erlang library -
Developing outside Ansible
First we need to setup our environment for Ansible. The easiest way to do it in Python world is to spin up a new
Then we can fiddle with it.
How to pass an arguments to it? You can observe it either when you define task parameters inside YAML file or when you invoke ad hoc task in Ansible:
Everything stated inside
-a attribute defines list of named parameters. In that case an argument named
path has value
/etc/passwd. This will be formatted and printed to a file. Path and name will be delivered as a first argument of command line invocation of our module.
As we specified above, our module will be executed in the context of actually modified machine. It communicates with Ansible over well defined JSON protocol, collected from
stdout. We have two basic forms - error:
If we want to communicate new facts, which can be used in further tasks (e.g. as an argument for conditional statements) we can add it inside
It is a good practice to prefix your facts with name of the module (for avoiding name conflicts and preserving clean structure).
Further implementation is pretty straightforward, especially that we’re writing a sequential script using all power of Erlang related with pattern matching, HTTP client and flow control.
Testing with Ansible
When you want to test your module with Ansible, you can set it up from source inside your
virtualenv and then invoke it by this series of commands:
Thanks to the good architecture and separation of concerns in Ansible, we can easily create modules using different languages and techniques, which will be executed on the provisioned host by a runner. There is no cleaner way to separate executor from task implementation, if you can separate it via programming language.
Also nice structure of this tool and ability to combine it with
virtalenv allows us to use locally modified versions and prepare our own tailored toolboxes, customized to our projects and needs.