Call Embedded Rules in Scripting Rules

You can simply run solver of another rules directly from Scripting Rule.

How to call embedded rules

You can run solver of other rules from Scripting Rule.

Solver is available under class DR and method solve().

DR.solve(ruleId, data, version, SolverStrategy)

Everything that you need is the rule ID and solver input data. Optionally, you may specify the version of the called rule and the execution strategy.

Note that you can use rule alias instead of rule ID to identify the rule. In that case, make sure that the rule alias is unique within the space, otherwise the request will fail.

If you are importing/exporting existing rules, DO NOT forget to change the ruleID you are calling in the scripting rule!

Parameters

name	type	mandatory	description
ruleId	string		Id of solving rule. You can also use rule alias.
data	any		Input data for solver
version	number		Version of solving rule
SolverStrategy	Execution Strategy		Solver strategy of solver

Return type

DR.solve() is returning the response from Solver as Array.

Examples

Basic method

DR.solve("ruleId", data);

Method with rule version

DR.solve("ruleId", data, 5);

Method with Solver Strategy

DR.solve("ruleId", data, 5, SolverStrategy.FIRST_MATCH);

If you want to define Solver Execution Strategy you have to specify the rule version too.

Example of usage

The rules you want to call in the scripting rules must be in the same space.

Decision table 1: "0000-0000-0000-0000"

Input Model

{
  "age": {}
}

Output Model

{
  "result": {}
}

Table

Decision table 2: "1111-1111-1111-1111"

Input Model

{
  "total amount": {},
  "blocked": {}
}

Output Model

{
  "result": {}
}

Table

Scripting Rule

Script

// Get data from Input
const data = input.data;

// Check if data is in Input and if data is an Array
if(data && Array.isArray(data)){

    const dates = [];

    // Iterate over data array
    for(let dat of data){
        // Check if dat (member of data array) has parameter date;
        if(dat.date){
            // add date to dates
            dates.push(dat.date);
        }
    }

    // Create BULK input data for DT
    const DTdata = [];

    for(let date of dates){
        const input = {
            "age": date
        }
        DTdata.push(input);
    }

    // log input data for DT
    log(JSON.stringify(DTdata));

    // Call first DT with FIRST_MATCH strategy
    const DTresult = DR.solve("0000-0000-0000-0000", DTdata, 1, SolverStrategy.FIRST_MATCH);

    // log result from DT
    log(JSON.stringify(DTresult));

    // transform data from DT to another DT
    let blocked = 0;

    for(let res of DTresult){
        if(Array.isArray(res)){
            if(res[0].result && res[0].result == "BLOCKED"){
                blocked ++;
            }
        }
    }

    // Create input data for DT
    const DTdata2 = {
        "total amount": dates.length,
        "blocked": blocked
    }

    // log input data for DT
    log(JSON.stringify(DTdata2));

    // Call second DT with FIRST_MATCH strategy
    const DTresult2 = DR.solve("1111-1111-1111-1111", DTdata2, 1, SolverStrategy.FIRST_MATCH);

    // log result from DT
    log(JSON.stringify(DTresult2));

    // pass result from DT to SR result
    output.result = DTresult2[0].result;

}

return output;

Input

{
	"data": [
		{
			"date": "01/01/1990"
		},
		{
			"date": "01/01/1999"
		},
		{
			"date": "01/01/1930"
		}
	]
}

Output

[
  {
    "output": "PASS"
  }
]