Writing functions in Ruby: Using special features in implementation methods

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For the most part, implementation methods are normal Ruby. However, there are some special features available for accessing Puppet variables, working with provided blocks of Puppet code, and calling other functions.

Note: This is one of several pages describing the Ruby functions API. Before reading it, make sure you understand the overview of this API and how to define function signatures.

Accessing Puppet variables

Most functions should only use the arguments they are passed. However, you also have the option of accessing globally-reachable Puppet variables. The main use case for this is accessing facts, trusted data, or server data.

Note: Functions cannot access local variables in the scope from which they were called. They can only access global variables or fully-qualified class variables.

To access variables, use the special closure_scope method, which takes no arguments and returns a Puppet::Parser::Scope object.

The only method you should call on the scope object is #[](varname), which returns the value of the specified variable. Make sure to exclude the $ from the variable name.


Puppet::Functions.create_function(:'mymodule::fqdn_rand') do
  dispatch :fqdn do
    # no arguments

  def fqdn()
    scope = closure_scope
    fqdn = scope['facts']['networking']['fqdn']
    # ...

Working with lambdas (code blocks)

If their signatures allow it (see Defining function signatures), functions can accept lambdas (blocks of Puppet code). Once a function has a lambda, it will generally need to execute it.

To do this, use Ruby’s normal block calling conventions.

Checking for a block with block_given?

If your signature specified an optional code block, your implementation method can check for its presence with the block_given? method. This is true if a block was provided, false if not.

Executing a block with yield()

When you know a block was provided, you can execute it any number of times with the yield() method.

The arguments to yield will be passed as arguments to the lambda; since your signature probably specified the number and type of arguments the lambda should expect, you should be able to call it with confidence.

The return value of the yield call will be the return value of the provided lambda.

Capturing a block as a Proc

If you need to introspect a provided lambda, or pass it on to some other method, an implementation method can capture it as a Proc by specifying an extra argument with an ampersand (&) flag. This works the same way as capturing a Ruby block as a Proc.

Once you’ve captured the block, you can execute it with #call instead of yield. You can also use any other Proc instance methods to examine it.

def implementation(arg1, arg2, *splat_arg, &block)
  # Now the `block` variable has the provided lambda, as a Proc.
  block.call(arg1, arg2, splat_arg)

Calling other functions

If you want to call another Puppet function (like include) from inside a function, use the special call_function(name, args, &block) method.

# Flatten an array of arrays of strings, then pass it to include:
def include_nested(array_of_arrays)
  call_function('include', array_of_arrays.flatten)
  • The first argument must be the name of the function to call, as a string.
  • The second argument must be an array containing any arguments to the function.
  • The third argument can be a Ruby Proc, or a Puppet lambda previously captured as a Proc (see above). You can also provide a block of Ruby code using the normal block syntax.
def my_function1(a, b, &block)
  # passing given Proc
  call_function('my_other_function', [a, b], &block)

def my_function2(a, b)
  # using a Ruby block
  call_function('my_other_function', [a, b]) { |x| ... }

Next pages

To make this API reference easier to use, we’ve split some of its larger topics into separate pages. Please read the following pages to learn the remainder of the Ruby functions API:

  • Documenting Ruby functions. Puppet Strings, a free documentation tool for Puppet, can extract documentation from functions and display it to your module’s users. This page describes how to format your code comments to work well with Strings.

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