Package org.kie.api.runtime

Examples of org.kie.api.runtime.ClassObjectFilter

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        kSession.fireAllRules();  //init model

        FactType scoreCardType = getKbase().getFactType( PMML4Helper.pmmlDefaultPackageName(), "ScoreCard" );
        assertNotNull( scoreCardType );

        assertEquals( 1, kSession.getObjects( new ClassObjectFilter( scoreCardType.getFactClass() ) ).size() );
        Object scoreCard = kSession.getObjects( new ClassObjectFilter( scoreCardType.getFactClass() ) ).iterator().next();

        assertEquals( "SampleScore", scoreCardType.get( scoreCard, "modelName" ) );
        assertEquals( 41.345, scoreCardType.get( scoreCard, "score" ) );

        Object x = scoreCardType.get( scoreCard, "ranking" );
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        getKSession().getEntryPoint( "in_Cat" ).insert("aa");
        getKSession().getEntryPoint( "in_Sort" ).insert(1);

        getKSession().fireAllRules();

        Collection<EventFactHandle> fact1 = getKSession().getFactHandles(new ClassObjectFilter(getKbase().getFactType(packageName, "Vallued").getFactClass()));
            assertEquals( 1, fact1.size() );
        //assertEquals(true, getKbase().getFactType(packageName, "Vallued").get(fact1.iterator().next().getObject(), "continuous"));

        Collection<EventFactHandle> fact2 = getKSession().getFactHandles(new ClassObjectFilter(getKbase().getFactType(packageName, "Intervalled").getFactClass()));
            assertEquals( 1, fact2.size() );
        //assertEquals(true, getKbase().getFactType(packageName,"Intervalled").get(fact2.iterator().next().getObject(),"continuous"));

        Collection<EventFactHandle> fact3 = getKSession().getFactHandles(new ClassObjectFilter(getKbase().getFactType(packageName, "Cat").getFactClass()));
            assertEquals( 1, fact3.size() );
        //assertEquals(true, getKbase().getFactType(packageName,"Cat").get(fact3.iterator().next().getObject(),"categorical"));

        Collection<EventFactHandle> fact4 = getKSession().getFactHandles(new ClassObjectFilter(getKbase().getFactType(packageName, "Sort").getFactClass()));
            assertEquals( 1, fact4.size() );
        //assertEquals(true, getKbase().getFactType(packageName,"Sort").get(fact4.iterator().next().getObject(),"ordinal"));

    }
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        StatefulKnowledgeSession ksession = kbase.newStatefulKnowledgeSession();
        TraitFactory.setMode( mode, ksession.getKieBase() );

        ksession.fireAllRules();

        FactHandle personHandle = ksession.getFactHandles( new ClassObjectFilter( Person.class ) ).iterator().next();
        InternalFactHandle h = ((InternalFactHandle) personHandle);
        ObjectTypeConfigurationRegistry reg = ((InternalWorkingMemoryEntryPoint) h.getEntryPoint()).getObjectTypeConfigurationRegistry();
        ObjectTypeConf conf = reg.getObjectTypeConf( ((InternalWorkingMemoryEntryPoint) h.getEntryPoint()).getEntryPoint(), ((InternalFactHandle) personHandle).getObject() );
        assertTrue( conf.isTMSEnabled() );
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        ksession.insert("Populate");
        ksession.fireAllRules();

        // A Rule will generate 3 Persons, one with default constructor, two with field constructor
        // and 3 Students, which extends Person. One with default, one with field constructor
        assertEquals(6, ksession.getObjects(new ClassObjectFilter(person.getFactClass())).size());
        assertEquals(1+4+1+4,ksession.getObjects(new ClassObjectFilter(eqPair.getFactClass())).size());
        ksession.dispose();
    }
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        checkFirstDataFieldOfTypeStatus( userAge2, true, false, null, 44.1 );

        System.out.println( "_________________________________________________________________" );

        FactType age = getKbase().getFactType( packageName, "Age" );
        Object aged = getKSession().getObjects( new ClassObjectFilter( age.getFactClass() ) ).iterator().next();

        getKSession().delete( getKSession().getFactHandle( aged ) );
        getKSession().fireAllRules();

        assertEquals( 0, getKSession().getFactCount() );
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        getKSession().getEntryPoint( "in_Cat" ).insert("aa");
        getKSession().getEntryPoint( "in_Sort" ).insert(1);

        getKSession().fireAllRules();

        Collection<EventFactHandle> fact1 = getKSession().getFactHandles(new ClassObjectFilter(getKbase().getFactType(packageName, "Vallued").getFactClass()));
            assertEquals( 1, fact1.size() );
        //assertEquals(true, getKbase().getFactType(packageName, "Vallued").get(fact1.iterator().next().getObject(), "continuous"));

        Collection<EventFactHandle> fact2 = getKSession().getFactHandles(new ClassObjectFilter(getKbase().getFactType(packageName, "Intervalled").getFactClass()));
            assertEquals( 1, fact2.size() );
        //assertEquals(true, getKbase().getFactType(packageName,"Intervalled").get(fact2.iterator().next().getObject(),"continuous"));

        Collection<EventFactHandle> fact3 = getKSession().getFactHandles(new ClassObjectFilter(getKbase().getFactType(packageName, "Cat").getFactClass()));
            assertEquals( 1, fact3.size() );
        //assertEquals(true, getKbase().getFactType(packageName,"Cat").get(fact3.iterator().next().getObject(),"categorical"));

        Collection<EventFactHandle> fact4 = getKSession().getFactHandles(new ClassObjectFilter(getKbase().getFactType(packageName, "Sort").getFactClass()));
            assertEquals( 1, fact4.size() );
        //assertEquals(true, getKbase().getFactType(packageName,"Sort").get(fact4.iterator().next().getObject(),"ordinal"));

    }
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        amklaims_ep.insert(9);

        getKSession().fireAllRules();

        assertEquals( 6, getKSession().getObjects().size() );
        assertEquals( 1, getKSession().getObjects( new ClassObjectFilter( gender.getFactClass() ) ).size() );
        assertEquals( 1, getKSession().getObjects( new ClassObjectFilter( noclaims.getFactClass() ) ).size() );
        assertEquals( 1, getKSession().getObjects( new ClassObjectFilter( scrambled.getFactClass() ) ).size() );
        assertEquals( 1, getKSession().getObjects( new ClassObjectFilter( domicile.getFactClass() ) ).size() );
        assertEquals( 1, getKSession().getObjects( new ClassObjectFilter( agecar.getFactClass() ) ).size() );
        assertEquals( 1, getKSession().getObjects( new ClassObjectFilter( amklaims.getFactClass() ) ).size() );


        checkFirstDataFieldOfTypeStatus(amklaims,true,false, null,9);

        checkFirstDataFieldOfTypeStatus(domicile,false,false,null,"way out");
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        FactType out1 = getKbase().getFactType("org.drools.pmml.pmml_4_1.test","Out1");
        FactType out2 = getKbase().getFactType("org.drools.pmml.pmml_4_1.test","Out2");
        FactType nump = getKbase().getFactType("org.drools.pmml.pmml_4_1.test","Feat2");

        assertEquals(1,getKSession().getObjects(new ClassObjectFilter(out1.getFactClass())).size());
        assertEquals(1,getKSession().getObjects(new ClassObjectFilter(out2.getFactClass())).size());
        assertEquals(2,getKSession().getObjects(new ClassObjectFilter(nump.getFactClass())).size());



        getKSession().getEntryPoint( "in_Feat1" ).insert(2.5);
        getKSession().getEntryPoint( "in_Feat2" ).insert(6);
        getKSession().fireAllRules();


        //System.err.println(reportWMObjects(getKSession()));

        assertEquals(1,getKSession().getObjects(new ClassObjectFilter(out1.getFactClass())).size());
        assertEquals(1,getKSession().getObjects(new ClassObjectFilter(out2.getFactClass())).size());
        assertEquals(2,getKSession().getObjects(new ClassObjectFilter(nump.getFactClass())).size());


    }
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    private int getNumAssertedSynapses() {
        Class<?> synClass = getKSession().getKieBase().getFactType( PMML4Helper.pmmlDefaultPackageName(),"Synapse").getFactClass();
        return getKSession().getObjects(new ClassObjectFilter(synClass)).size();
    }
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Related Classes of org.kie.api.runtime.ClassObjectFilter

  • org.drools.compiler.factmodel.traits.LogicalTraitTest
  • org.drools.compiler.factmodel.traits.TraitTest
  • org.drools.compiler.integrationtests.ExtendsTest
  • org.drools.pmml.pmml_4_1.DroolsAbstractPMMLTest
  • org.drools.pmml.pmml_4_1.global.ConstrainedDataDictionaryTest
  • org.drools.pmml.pmml_4_1.global.DataDictionaryTest
  • org.drools.pmml.pmml_4_1.predictive.models.ClusteringTest
  • org.drools.pmml.pmml_4_1.predictive.models.DecisionTreeTest
  • org.drools.pmml.pmml_4_1.predictive.models.MultipleModelTest
  • org.drools.pmml.pmml_4_1.predictive.models.NeuralNetworkTest
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