Package org.kie.api.runtime

Examples of org.kie.api.runtime.KieSession

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public class GetWorkingMemoryEventListenersCommand
    implements
    GenericCommand<Collection<WorkingMemoryEventListener>> {

    public Collection<WorkingMemoryEventListener> execute(Context context) {
        KieSession ksession = ((KnowledgeCommandContext) context).getKieSession();
        return ksession.getWorkingMemoryEventListeners();
    }
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    public FireUntilHaltCommand(AgendaFilter agendaFilter) {
        this.agendaFilter = agendaFilter;
    }

    public Void execute(Context context) {
        KieSession ksession = ((KnowledgeCommandContext) context).getKieSession();
        final ReteooWorkingMemoryInterface session = ((StatefulKnowledgeSessionImpl)ksession).session;
       
        new Thread(new Runnable() {
            public void run() {
                if ( agendaFilter != null ) {
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    public void setName(String name) {
        this.name = name;
    }

    public Void execute(Context context) {
        KieSession ksession = ((KnowledgeCommandContext) context).getKieSession();
        ((StatefulKnowledgeSessionImpl)ksession).session.getAgenda().getRuleFlowGroup( this.name ).clear();
        return null;
    }
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    public void setName(String name) {
        this.name = name;
    }

    public Void execute(Context context) {
        KieSession ksession = ((KnowledgeCommandContext) context).getKieSession();
        ksession.getAgenda().getAgendaGroup( this.name ).setFocus();
        return null;
    }
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        String theory = compiler.generateTheory( pmml );
        if ( VERBOSE ) {
            System.out.println( theory );
        }
        KieSession kSession = getSession( theory );
        setKSession( kSession );
        setKbase( getKSession().getKieBase() );



        kSession.fireAllRules();  //init model

        FactType tgt = kSession.getKieBase().getFactType( packageName, "Fld9" );
        FactType tok = kSession.getKieBase().getFactType( PMML4Helper.pmmlDefaultPackageName(), "TreeToken" );

        kSession.getEntryPoint( "in_Fld1" ).insert( -1.0 );
        kSession.getEntryPoint( "in_Fld2" ).insert( -1.0 );
        kSession.getEntryPoint( "in_Fld3" ).insert( "optA" );

        kSession.fireAllRules();

        Object token = getToken( kSession );
        assertEquals( 0.8, (Double) tok.get( token, "confidence" ), 1e-6 );
        assertEquals( "null", tok.get( token, "current" ) );
        assertEquals( 50.0, tok.get( token, "totalCount" ) );
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        String theory = compiler.generateTheory( pmml );
        if ( VERBOSE ) {
            System.out.println( theory );
        }
        KieSession kSession = getSession( theory );
        setKSession( kSession );
        setKbase( getKSession().getKieBase() );



        kSession.fireAllRules();  //init model

        FactType tgt = kSession.getKieBase().getFactType( packageName, "Fld9" );
        FactType tok = kSession.getKieBase().getFactType( PMML4Helper.pmmlDefaultPackageName(), "TreeToken" );

        kSession.getEntryPoint( "in_Fld1" ).insert( -1.0 );
        kSession.getEntryPoint( "in_Fld2" ).insert( -1.0 );
        kSession.getEntryPoint( "in_Fld3" ).insert( "optA" );

        kSession.fireAllRules();

        Object token = getToken( kSession );
        assertEquals( 0.0, (Double) tok.get( token, "confidence" ), 1e-6 );
        assertEquals( "null", tok.get( token, "current" ) );
        assertEquals( 0.0, tok.get( token, "totalCount" ) );
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        String theory = compiler.generateTheory( pmml );
        if ( VERBOSE ) {
            System.out.println( theory );
        }
        KieSession kSession = getSession( theory );
        setKSession( kSession );
        setKbase( getKSession().getKieBase() );



        kSession.fireAllRules();  //init model

        FactType tgt = kSession.getKieBase().getFactType( packageName, "Fld9" );
        FactType tok = kSession.getKieBase().getFactType( PMML4Helper.pmmlDefaultPackageName(), "TreeToken" );

        kSession.getEntryPoint( "in_Fld1" ).insert( 45.0 );
        kSession.getEntryPoint( "in_Fld2" ).insert( 90.0 );
        kSession.getEntryPoint( "in_Fld3" ).insert( "miss" );

        kSession.fireAllRules();

        Object token = getToken( kSession );
        assertEquals( 0.47, (Double) tok.get( token, "confidence" ), 1e-2 );
        assertEquals( "null", tok.get( token, "current" ) );
        assertEquals( 60.0, tok.get( token, "totalCount" ) );
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        String theory = compiler.generateTheory( pmml );
        if ( VERBOSE ) {
            System.out.println( theory );
        }
        KieSession kSession = getSession( theory );
        setKSession( kSession );
        setKbase( getKSession().getKieBase() );



        kSession.fireAllRules();  //init model

        FactType tgt = kSession.getKieBase().getFactType( packageName, "Fld9" );
        FactType tok = kSession.getKieBase().getFactType( PMML4Helper.pmmlDefaultPackageName(), "TreeToken" );

        kSession.getEntryPoint( "in_Fld1" ).insert( -1.0 );
        kSession.getEntryPoint( "in_Fld2" ).insert( -1.0 );
        kSession.getEntryPoint( "in_Fld3" ).insert( "miss" );

        kSession.fireAllRules();

        Object token = getToken( kSession );
        assertEquals( 0.6, (Double) tok.get( token, "confidence" ), 1e-6 );
        assertEquals( "null", tok.get( token, "current" ) );
        assertEquals( 100.0, tok.get( token, "totalCount" ) );
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    @Test
    public void testSimpleTreeOutput() throws Exception {
        setKSession( getModelSession( source2, VERBOSE ) );
        setKbase( getKSession().getKieBase() );
        KieSession kSession = getKSession();

        kSession.fireAllRules();  //init model

        FactType tgt = kSession.getKieBase().getFactType( packageName, "Fld9" );
        FactType tok = kSession.getKieBase().getFactType( PMML4Helper.pmmlDefaultPackageName(), "TreeToken" );

        kSession.getEntryPoint( "in_Fld1" ).insert( -1.0 );
        kSession.getEntryPoint( "in_Fld2" ).insert( -1.0 );
        kSession.getEntryPoint( "in_Fld3" ).insert( "optA" );

        kSession.fireAllRules();

        Object token = getToken( kSession );
        assertEquals( 0.8, tok.get( token, "confidence" ) );
        assertEquals( "null", tok.get( token, "current" ) );
        assertEquals( 50.0, tok.get( token, "totalCount" ) );

        checkFirstDataFieldOfTypeStatus(tgt, true, false, "Missing", "tgtX" );

        checkFirstDataFieldOfTypeStatus( kSession.getKieBase().getFactType( packageName, "OutClass" ),
                    true, false, "Missing", "tgtX" );
        checkFirstDataFieldOfTypeStatus( kSession.getKieBase().getFactType( packageName, "OutProb" ),
                    true, false, "Missing", 0.8 );


    }
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    }


    @Test
    public void testNaiveBayes() throws Exception {
        KieSession kieSession = getModelSession( source1, VERBOSE );
        setKSession( kieSession );

        kieSession.fireAllRules();  //init model

        kieSession.getEntryPoint( "in_Gender" ).insert( "male" );
        kieSession.getEntryPoint( "in_NoOfClaims" ).insert( "2" );
        kieSession.getEntryPoint( "in_AgeOfCar" ).insert( 1.0 );

        kieSession.fireAllRules();

        QueryResults q1 = kieSession.getQueryResults( "ProbabilityOf500", "NaiveBayesInsurance", Variable.v );
        assertEquals( 1, q1.size() );
        Object a1 = q1.iterator().next().get( q1.getIdentifiers()[ 1 ] );
        assertTrue( a1 instanceof Double );
        assertEquals( 0.034, (Double) a1, 4 );

        QueryResults q2 = kieSession.getQueryResults( "ChosenClass", "NaiveBayesInsurance", Variable.v );
        assertEquals( 1, q2.size() );
        Object a2 = q2.iterator().next().get( q2.getIdentifiers()[ 1 ] );
        assertTrue( a2 instanceof Integer );
        assertEquals( 100, a2 );
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