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Even though SIL SIL™ works just fine as a standalone scripting language outside Jira (for example our installers use SIL SIL™ to copy the apps to your Jira directory), but it really makes a difference inside Jira.

Architecture

The SIL SIL™ language is actually independent from Jira. It can be used for any purpose, for instance to be applied for Confluence. It can be applied for anything. On top of the basic interpreter we've also added a Jira specific interpreter that predefines the standard variables, the key variable for instance that represents the key of the issue.

Jira SIL SIL™ interpreter  basically extends the capabilities of the standard interpreter. The standard SIL SIL™ Interpreter provides a registry for all routines and the Issue SIL SIL™ Interpreter adds the additional routines into this registry including Jira interactions.

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Just like any other programming language, a standalone SIL SIL™ program contains variables, functions, and conditional and repetitive clauses. Putting this inside a Jira context enables you to use Jira related routines like createIssue or linkIssue (so the script "has Jira context").  Adding an issue context inside the Jira context (so the script "has an issue context"), enables you to use field values stored on the issue, regardless of whether they are standard fields like summary, description, assignee, or custom fields.

These will be predefined and ready to use be used without any need for variable definition. When the interpreter finds a variable, it looks for it mostly the same similar as any other language would. Each block of code is a variable context. Nested blocks will push these contexts into to a stack. When looking for a variable, it starts from the current block of code and moves down the stack. If the variable is not found, it will attempt to match it against the fields on the issue (consider this at the bottom of the stack). Let's make it visual using pseudocode.

start block // context_0 - this is your program
	declare variable a;
	start block // push context_1
		declare variable b;
		start block // push context_2
			declare variable c;
			use variable b; // from context_1
		end block // pop context_2
		// no more variable c here
	end block // pop context_2
	// no more variable b here
end block
		

start block // JIRA context
// defines JIRA-related routines like createIssue(...)
	start block // issue context - transparent to the user
	// this context contains the issue field definitions
	// you can imagine this contains instructions like
	// string summary = "the summary of the issue";
		start block
			// context_0 - this is your program
			declare variable a;
			start block // push context_1
				declare variable b;
				start block // push context_2
					declare variable c;
					use variable b; // from context_1
				end block // pop context_2
				// no more variable c here
			end block // pop context_2
			// no more variable b here
		end block // this is the end of the program
	// behind-the-scene post-processing
	end block // pop the issue context
end block // pop the JIRA context

You might notice that SIL SIL™ works mostly the same inside and outside of an issue context. The two additional contexts (Jira and issue) bring more functionality that you can instantly use inside your program.

Post processing

Note , that when running inside a Jira context, there is a step called "behind-the-scene post-processing". During the interpretation of the script, the SIL Engine Engine™ (or Interpreter) creates volatile clones (not persistent) of all issues that were modified and the respective changes. This enables us to control the following aspects of a program:

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See also

Configuring and installing guide