the reference answer GPT ᴼ ᴾ ᴱ ᴺ ᴬ ᴵ < br / > in YAML files using function as variables, the need to ensure that the function is correctly reference and call. Here are some possible problems and their solutions:
1. Function is not imported correctly: If the function is defined in another module, you need to import that module in the YAML file. For example, in Python, you can import a module named my_module with the following statement:
import my_module
2. Incorrect function name or arguments: Make sure to refer to the function and its arguments correctly in the YAML file, for example:
my_function: my_module.some_function
my_parameter: "{{ my_function('parameter_value') }}"
where my_function is the name of the function to be called, my_module.some_function is the full reference path to the function(that is, the module name and the function name), and my_parameter is the argument passed to the function.
3. Function not called: In YAML files, a function is just a variable that needs to be called through another step or task, for example:
- name: Call my_function
some_module.some_task:
param: "{{ my_function('parameter_value') }}"
In this example, some_module.some_task is a task that passes the parameter my_function('parameter_value') to param. This argument will be replaced at run time with the return value of my_function.
Note that the functions in the YAML file are not automatically executed when the YAML file is parsed. So, if you want to execute certain functions when parsing a YAML file, put them in a Python script and call the script in a task or step.