...
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import java.util.Map;
import org.openmrs.Patient;
import org.openmrs.logic.*;
import org.openmrs.logic.rule.*;
import org.openmrs.logic.result.*;
public class GENERATED-NAME extends AbstractRule {
public Result eval(LogicContext context, Integer patientId,
Map<String, Object> parameters) throws LogicException {
// YOUR-CONTENT-INSERTED-HERE
}
} |
...
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def square = { x ->
x * x
}
def myString = [2, 4, 6].collect { "${ it } squared is ${ square(it) }" }.join("\n")
return new Result(myString) |
A more useful rule, to fetch the patient's age, would be:
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return new Result(context.getPatient(patientId).getAge(context.indexDate))
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Here's a verbose version of that same age logic
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/*
* In order to add as little overhead as possible, allowing rules to be run
* relatively efficiently on very large cohorts, the rule framework does not
* automatically provide us with a Patient object, but just a patientId.
* This line fetches that Patient object. (It actually fetches all patients
* in the cohort the rule is being evaluated on.)
*/
def patient = context.getPatient(patientId)
/*
* We want this rule to work correctly if you evaluate it as-of some other
* date. So we fetch the index date from the LogicContext. "context.indexDate"
* is groovy shorthand for "context.getIndexDate()"
*/
def age = patient.getAge(context.indexDate)
/*
* We need to wrap our returned value in a logic Result.
*/
return new Result(age)
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Java Rules
These "work", but are very hard to use. A later logic module release will make these easier to use. (But why not use Groovy instead? It's better...)
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package org.openmrs.module.logic.rule;
import java.util.Map;
import org.openmrs.Patient;
import org.openmrs.logic.*;
import org.openmrs.logic.rule.*;
import org.openmrs.logic.result.*;
public class CompiledRule3 extends AbstractRule {
public Result eval(LogicContext context, Integer patientId,
Map<String, Object> parameters) {
return new Result("I would recommend Groovy instead");
}
}
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