diff options
Diffstat (limited to 'examples/examples-adaptive/src')
| -rw-r--r-- | examples/examples-adaptive/src/main/java/org/onap/policy/apex/examples/adaptive/model/AdaptiveDomainModelFactory.java | 131 |
1 files changed, 66 insertions, 65 deletions
diff --git a/examples/examples-adaptive/src/main/java/org/onap/policy/apex/examples/adaptive/model/AdaptiveDomainModelFactory.java b/examples/examples-adaptive/src/main/java/org/onap/policy/apex/examples/adaptive/model/AdaptiveDomainModelFactory.java index 7dbb4ad23..dda3c2a38 100644 --- a/examples/examples-adaptive/src/main/java/org/onap/policy/apex/examples/adaptive/model/AdaptiveDomainModelFactory.java +++ b/examples/examples-adaptive/src/main/java/org/onap/policy/apex/examples/adaptive/model/AdaptiveDomainModelFactory.java @@ -2,6 +2,7 @@ * ============LICENSE_START======================================================= * Copyright (C) 2016-2018 Ericsson. All rights reserved. * Modifications Copyright (C) 2021 Bell Canada. All rights reserved. + * Modifications Copyright (C) 2021 Nordix Foundation. * ================================================================================ * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. @@ -74,17 +75,17 @@ public class AdaptiveDomainModelFactory { public AxPolicyModel getAnomalyDetectionPolicyModel() { // CHECKSTYLE:ON: checkstyle:maximumMethodLength // Data types for event parameters - final AxContextSchema monitoredValue = new AxContextSchema(new AxArtifactKey(MONITORED_VALUE, DEFAULT_VERSION), + final var monitoredValue = new AxContextSchema(new AxArtifactKey(MONITORED_VALUE, DEFAULT_VERSION), "Java", "java.lang.Double"); - final AxContextSchema iteration = new AxContextSchema(new AxArtifactKey(ITERATION2, DEFAULT_VERSION), "Java", + final var iteration = new AxContextSchema(new AxArtifactKey(ITERATION2, DEFAULT_VERSION), "Java", "java.lang.Integer"); - final AxContextSchemas adContextSchemas = new AxContextSchemas( + final var adContextSchemas = new AxContextSchemas( new AxArtifactKey("AADMDatatypes", DEFAULT_VERSION)); adContextSchemas.getSchemasMap().put(monitoredValue.getKey(), monitoredValue); adContextSchemas.getSchemasMap().put(iteration.getKey(), iteration); - final AxEvent anomalyDetectionTriggerEvent = new AxEvent( + final var anomalyDetectionTriggerEvent = new AxEvent( new AxArtifactKey("AnomalyDetectionTriggerEvent", DEFAULT_VERSION), DEFAULT_NAMESPACE); anomalyDetectionTriggerEvent.setSource(EXTERNAL); @@ -95,7 +96,7 @@ public class AdaptiveDomainModelFactory { anomalyDetectionTriggerEvent.getParameterMap().put(ITERATION2, new AxField( new AxReferenceKey(anomalyDetectionTriggerEvent.getKey(), ITERATION2), iteration.getKey())); - final AxEvent anomalyDetectionMatchEvent = new AxEvent( + final var anomalyDetectionMatchEvent = new AxEvent( new AxArtifactKey("AnomalyDetectionMatchEvent", DEFAULT_VERSION), DEFAULT_NAMESPACE); anomalyDetectionMatchEvent.setSource(MATCH); @@ -106,7 +107,7 @@ public class AdaptiveDomainModelFactory { anomalyDetectionMatchEvent.getParameterMap().put(ITERATION2, new AxField( new AxReferenceKey(anomalyDetectionMatchEvent.getKey(), ITERATION2), iteration.getKey())); - final AxEvent anomalyDetectionEstablishEvent = new AxEvent( + final var anomalyDetectionEstablishEvent = new AxEvent( new AxArtifactKey("AnomalyDetectionEstablishEvent", DEFAULT_VERSION), DEFAULT_NAMESPACE); anomalyDetectionEstablishEvent.setSource(ESTABLISH); @@ -117,7 +118,7 @@ public class AdaptiveDomainModelFactory { anomalyDetectionEstablishEvent.getParameterMap().put(ITERATION2, new AxField( new AxReferenceKey(anomalyDetectionEstablishEvent.getKey(), ITERATION2), iteration.getKey())); - final AxEvent anomalyDetectionDecideEvent = new AxEvent( + final var anomalyDetectionDecideEvent = new AxEvent( new AxArtifactKey("AnomalyDetectionDecideEvent", DEFAULT_VERSION), DEFAULT_NAMESPACE); anomalyDetectionDecideEvent.setSource(DECIDE); @@ -128,7 +129,7 @@ public class AdaptiveDomainModelFactory { anomalyDetectionDecideEvent.getParameterMap().put(ITERATION2, new AxField( new AxReferenceKey(anomalyDetectionDecideEvent.getKey(), ITERATION2), iteration.getKey())); - final AxEvent anomalyDetectionActEvent = new AxEvent( + final var anomalyDetectionActEvent = new AxEvent( new AxArtifactKey("AnomalyDetectionActEvent", DEFAULT_VERSION), DEFAULT_NAMESPACE); anomalyDetectionActEvent.setSource("Act"); @@ -139,7 +140,7 @@ public class AdaptiveDomainModelFactory { anomalyDetectionActEvent.getParameterMap().put(ITERATION2, new AxField( new AxReferenceKey(anomalyDetectionActEvent.getKey(), ITERATION2), iteration.getKey())); - final AxEvents anomalyDetectionEvents = new AxEvents( + final var anomalyDetectionEvents = new AxEvents( new AxArtifactKey("AnomalyDetectionEvents", DEFAULT_VERSION)); anomalyDetectionEvents.getEventMap().put(anomalyDetectionTriggerEvent.getKey(), anomalyDetectionTriggerEvent); anomalyDetectionEvents.getEventMap().put(anomalyDetectionMatchEvent.getKey(), anomalyDetectionMatchEvent); @@ -149,16 +150,16 @@ public class AdaptiveDomainModelFactory { anomalyDetectionEvents.getEventMap().put(anomalyDetectionActEvent.getKey(), anomalyDetectionActEvent); // Data types for context - final AxContextSchema anomalyDetection = new AxContextSchema( + final var anomalyDetection = new AxContextSchema( new AxArtifactKey("AnomalyDetection", DEFAULT_VERSION), "Java", "org.onap.policy.apex.examples.adaptive.concepts.AnomalyDetection"); adContextSchemas.getSchemasMap().put(anomalyDetection.getKey(), anomalyDetection); // One context map - final AxContextAlbum anomalyDetectionAlbum = new AxContextAlbum( + final var anomalyDetectionAlbum = new AxContextAlbum( new AxArtifactKey("AnomalyDetectionAlbum", DEFAULT_VERSION), "APPLICATION", true, anomalyDetection.getKey()); - final AxContextAlbums anomalyDetectionAlbums = new AxContextAlbums( + final var anomalyDetectionAlbums = new AxContextAlbums( new AxArtifactKey("AnomalyDetectionAlbums", DEFAULT_VERSION)); anomalyDetectionAlbums.getAlbumsMap().put(anomalyDetectionAlbum.getKey(), anomalyDetectionAlbum); @@ -167,37 +168,37 @@ public class AdaptiveDomainModelFactory { .setLogicPackage(this.getClass().getPackage().getName()) .setDefaultLogic("DefaultAnomalyDetectionTask_Logic"); - final AxTask anomalyDetectionMatchTask = new AxTask( + final var anomalyDetectionMatchTask = new AxTask( new AxArtifactKey("AnomalyDetectionMatchTask", DEFAULT_VERSION)); anomalyDetectionMatchTask.setTaskLogic( new AxTaskLogic(anomalyDetectionMatchTask.getKey(), TASK_LOGIC, "MVEL", logicReader)); - final AxTask anomalyDetectionEstablishTask = new AxTask( + final var anomalyDetectionEstablishTask = new AxTask( new AxArtifactKey("AnomalyDetectionEstablishTask", DEFAULT_VERSION)); anomalyDetectionEstablishTask.setTaskLogic( new AxTaskLogic(anomalyDetectionEstablishTask.getKey(), TASK_LOGIC, "MVEL", logicReader)); - final AxTask anomalyDetectionDecideTask0 = new AxTask( + final var anomalyDetectionDecideTask0 = new AxTask( new AxArtifactKey("AnomalyDetectionDecideTask0", DEFAULT_VERSION)); anomalyDetectionDecideTask0.setTaskLogic( new AxTaskLogic(anomalyDetectionDecideTask0.getKey(), TASK_LOGIC, "MVEL", logicReader)); - final AxTask anomalyDetectionDecideTask1 = new AxTask( + final var anomalyDetectionDecideTask1 = new AxTask( new AxArtifactKey("AnomalyDetectionDecideTask1", DEFAULT_VERSION)); anomalyDetectionDecideTask1.setTaskLogic( new AxTaskLogic(anomalyDetectionDecideTask1.getKey(), TASK_LOGIC, "MVEL", logicReader)); - final AxTask anomalyDetectionDecideTask2 = new AxTask( + final var anomalyDetectionDecideTask2 = new AxTask( new AxArtifactKey("AnomalyDetectionDecideTask2", DEFAULT_VERSION)); anomalyDetectionDecideTask2.setTaskLogic( new AxTaskLogic(anomalyDetectionDecideTask2.getKey(), TASK_LOGIC, "MVEL", logicReader)); - final AxTask anomalyDetectionActTask = new AxTask( + final var anomalyDetectionActTask = new AxTask( new AxArtifactKey("AnomalyDetectionActTask", DEFAULT_VERSION)); anomalyDetectionActTask.setTaskLogic( new AxTaskLogic(anomalyDetectionActTask.getKey(), TASK_LOGIC, "MVEL", logicReader)); - final AxTasks anomalyDetectionTasks = new AxTasks(new AxArtifactKey("AnomalyDetectionTasks", DEFAULT_VERSION)); + final var anomalyDetectionTasks = new AxTasks(new AxArtifactKey("AnomalyDetectionTasks", DEFAULT_VERSION)); anomalyDetectionTasks.getTaskMap().put(anomalyDetectionMatchTask.getKey(), anomalyDetectionMatchTask); anomalyDetectionTasks.getTaskMap().put(anomalyDetectionEstablishTask.getKey(), anomalyDetectionEstablishTask); anomalyDetectionTasks.getTaskMap().put(anomalyDetectionDecideTask0.getKey(), anomalyDetectionDecideTask0); @@ -208,14 +209,14 @@ public class AdaptiveDomainModelFactory { // Policies logicReader.setDefaultLogic(DEFAULT_STATE_LOGIC); - final AxPolicy anomalyDetectionPolicy = new AxPolicy( + final var anomalyDetectionPolicy = new AxPolicy( new AxArtifactKey("AnomalyDetectionPolicy", DEFAULT_VERSION)); anomalyDetectionPolicy.setTemplate("MEDA"); - final AxState anomalyDetectionActState = new AxState( + final var anomalyDetectionActState = new AxState( new AxReferenceKey(anomalyDetectionPolicy.getKey(), "Act")); anomalyDetectionActState.setTrigger(anomalyDetectionDecideEvent.getKey()); - final AxStateOutput adAct2Out = new AxStateOutput(anomalyDetectionActState.getKey(), + final var adAct2Out = new AxStateOutput(anomalyDetectionActState.getKey(), AxReferenceKey.getNullKey(), anomalyDetectionActEvent.getKey()); anomalyDetectionActState.getStateOutputs().put(adAct2Out.getKey().getLocalName(), adAct2Out); anomalyDetectionActState.setTaskSelectionLogic(new AxTaskSelectionLogic(anomalyDetectionActState.getKey(), @@ -227,10 +228,10 @@ public class AdaptiveDomainModelFactory { logicReader.setDefaultLogic(null); - final AxState anomalyDetectionDecideState = new AxState( + final var anomalyDetectionDecideState = new AxState( new AxReferenceKey(anomalyDetectionPolicy.getKey(), DECIDE)); anomalyDetectionDecideState.setTrigger(anomalyDetectionEstablishEvent.getKey()); - final AxStateOutput adDec2Act = new AxStateOutput(anomalyDetectionDecideState.getKey(), + final var adDec2Act = new AxStateOutput(anomalyDetectionDecideState.getKey(), anomalyDetectionActState.getKey(), anomalyDetectionDecideEvent.getKey()); anomalyDetectionDecideState.getStateOutputs().put(adDec2Act.getKey().getLocalName(), adDec2Act); anomalyDetectionDecideState.setTaskSelectionLogic(new AxTaskSelectionLogic(anomalyDetectionDecideState.getKey(), @@ -252,10 +253,10 @@ public class AdaptiveDomainModelFactory { logicReader.setDefaultLogic(DEFAULT_STATE_LOGIC); - final AxState anomalyDetectionEstablishState = new AxState( + final var anomalyDetectionEstablishState = new AxState( new AxReferenceKey(anomalyDetectionPolicy.getKey(), ESTABLISH)); anomalyDetectionEstablishState.setTrigger(anomalyDetectionMatchEvent.getKey()); - final AxStateOutput adEst2Dec = new AxStateOutput(anomalyDetectionEstablishState.getKey(), + final var adEst2Dec = new AxStateOutput(anomalyDetectionEstablishState.getKey(), anomalyDetectionDecideState.getKey(), anomalyDetectionEstablishEvent.getKey()); anomalyDetectionEstablishState.getStateOutputs().put(adEst2Dec.getKey().getLocalName(), adEst2Dec); anomalyDetectionEstablishState.setTaskSelectionLogic(new AxTaskSelectionLogic( @@ -266,10 +267,10 @@ public class AdaptiveDomainModelFactory { anomalyDetectionEstablishTask.getKey(), AxStateTaskOutputType.DIRECT, adEst2Dec.getKey())); - final AxState anomalyDetectionMatchState = new AxState( + final var anomalyDetectionMatchState = new AxState( new AxReferenceKey(anomalyDetectionPolicy.getKey(), MATCH)); anomalyDetectionMatchState.setTrigger(anomalyDetectionTriggerEvent.getKey()); - final AxStateOutput adMat2Est = new AxStateOutput(anomalyDetectionMatchState.getKey(), + final var adMat2Est = new AxStateOutput(anomalyDetectionMatchState.getKey(), anomalyDetectionEstablishState.getKey(), anomalyDetectionMatchEvent.getKey()); anomalyDetectionMatchState.getStateOutputs().put(adMat2Est.getKey().getLocalName(), adMat2Est); anomalyDetectionMatchState.setTaskSelectionLogic(new AxTaskSelectionLogic(anomalyDetectionMatchState.getKey(), @@ -290,13 +291,13 @@ public class AdaptiveDomainModelFactory { anomalyDetectionPolicy.getStateMap().put(anomalyDetectionActState.getKey().getLocalName(), anomalyDetectionActState); - final AxPolicies anomalyDetectionPolicies = new AxPolicies( + final var anomalyDetectionPolicies = new AxPolicies( new AxArtifactKey("AnomalyDetectionPolicies", DEFAULT_VERSION)); anomalyDetectionPolicies.getPolicyMap().put(anomalyDetectionPolicy.getKey(), anomalyDetectionPolicy); - final AxKeyInformation keyInformation = new AxKeyInformation( + final var keyInformation = new AxKeyInformation( new AxArtifactKey("AnomalyDetectionKeyInformation", DEFAULT_VERSION)); - final AxPolicyModel anomalyDetectionPolicyModel = new AxPolicyModel( + final var anomalyDetectionPolicyModel = new AxPolicyModel( new AxArtifactKey("AnomalyDetectionPolicyModel", DEFAULT_VERSION)); anomalyDetectionPolicyModel.setPolicies(anomalyDetectionPolicies); anomalyDetectionPolicyModel.setEvents(anomalyDetectionEvents); @@ -322,14 +323,14 @@ public class AdaptiveDomainModelFactory { public AxPolicyModel getAutoLearnPolicyModel() { // CHECKSTYLE:ON: checkstyle:maximumMethodLength // Data types for event parameters - final AxContextSchema monitoredValue = new AxContextSchema(new AxArtifactKey(MONITORED_VALUE, DEFAULT_VERSION), + final var monitoredValue = new AxContextSchema(new AxArtifactKey(MONITORED_VALUE, DEFAULT_VERSION), "Java", "java.lang.Double"); - final AxContextSchemas alContextSchemas = new AxContextSchemas( + final var alContextSchemas = new AxContextSchemas( new AxArtifactKey("ALDatatypes", DEFAULT_VERSION)); alContextSchemas.getSchemasMap().put(monitoredValue.getKey(), monitoredValue); - final AxEvent autoLearnTriggerEvent = new AxEvent(new AxArtifactKey("AutoLearnTriggerEvent", DEFAULT_VERSION), + final var autoLearnTriggerEvent = new AxEvent(new AxArtifactKey("AutoLearnTriggerEvent", DEFAULT_VERSION), DEFAULT_NAMESPACE); autoLearnTriggerEvent.setSource(EXTERNAL); autoLearnTriggerEvent.setTarget(MATCH); @@ -339,7 +340,7 @@ public class AdaptiveDomainModelFactory { new AxField(new AxReferenceKey(autoLearnTriggerEvent.getKey(), LAST_MONITORED_VALUE), monitoredValue.getKey())); - final AxEvent autoLearnMatchEvent = new AxEvent(new AxArtifactKey("AutoLearnMatchEvent", DEFAULT_VERSION), + final var autoLearnMatchEvent = new AxEvent(new AxArtifactKey("AutoLearnMatchEvent", DEFAULT_VERSION), DEFAULT_NAMESPACE); autoLearnMatchEvent.setSource(MATCH); autoLearnMatchEvent.setTarget(ESTABLISH); @@ -349,7 +350,7 @@ public class AdaptiveDomainModelFactory { new AxField(new AxReferenceKey(autoLearnMatchEvent.getKey(), LAST_MONITORED_VALUE), monitoredValue.getKey())); - final AxEvent autoLearnEstablishEvent = new AxEvent( + final var autoLearnEstablishEvent = new AxEvent( new AxArtifactKey("AutoLearnEstablishEvent", DEFAULT_VERSION), DEFAULT_NAMESPACE); autoLearnEstablishEvent.setSource(ESTABLISH); @@ -361,7 +362,7 @@ public class AdaptiveDomainModelFactory { new AxField(new AxReferenceKey(autoLearnEstablishEvent.getKey(), LAST_MONITORED_VALUE), monitoredValue.getKey())); - final AxEvent autoLearnDecideEvent = new AxEvent(new AxArtifactKey("AutoLearnDecideEvent", DEFAULT_VERSION), + final var autoLearnDecideEvent = new AxEvent(new AxArtifactKey("AutoLearnDecideEvent", DEFAULT_VERSION), DEFAULT_NAMESPACE); autoLearnDecideEvent.setSource(DECIDE); autoLearnDecideEvent.setTarget("Act"); @@ -371,7 +372,7 @@ public class AdaptiveDomainModelFactory { new AxField(new AxReferenceKey(autoLearnDecideEvent.getKey(), LAST_MONITORED_VALUE), monitoredValue.getKey())); - final AxEvent autoLearnActEvent = new AxEvent(new AxArtifactKey("AutoLearnActEvent", DEFAULT_VERSION), + final var autoLearnActEvent = new AxEvent(new AxArtifactKey("AutoLearnActEvent", DEFAULT_VERSION), DEFAULT_NAMESPACE); autoLearnActEvent.setSource("Act"); autoLearnActEvent.setTarget(EXTERNAL); @@ -380,7 +381,7 @@ public class AdaptiveDomainModelFactory { autoLearnActEvent.getParameterMap().put(LAST_MONITORED_VALUE, new AxField( new AxReferenceKey(autoLearnActEvent.getKey(), LAST_MONITORED_VALUE), monitoredValue.getKey())); - final AxEvents autoLearnEvents = new AxEvents(new AxArtifactKey("AutoLearnEvents", DEFAULT_VERSION)); + final var autoLearnEvents = new AxEvents(new AxArtifactKey("AutoLearnEvents", DEFAULT_VERSION)); autoLearnEvents.getEventMap().put(autoLearnTriggerEvent.getKey(), autoLearnTriggerEvent); autoLearnEvents.getEventMap().put(autoLearnMatchEvent.getKey(), autoLearnMatchEvent); autoLearnEvents.getEventMap().put(autoLearnEstablishEvent.getKey(), autoLearnEstablishEvent); @@ -388,15 +389,15 @@ public class AdaptiveDomainModelFactory { autoLearnEvents.getEventMap().put(autoLearnActEvent.getKey(), autoLearnActEvent); // Data types for context - final AxContextSchema autoLearn = new AxContextSchema(new AxArtifactKey("AutoLearn", DEFAULT_VERSION), "Java", + final var autoLearn = new AxContextSchema(new AxArtifactKey("AutoLearn", DEFAULT_VERSION), "Java", "org.onap.policy.apex.examples.adaptive.concepts.AutoLearn"); alContextSchemas.getSchemasMap().put(autoLearn.getKey(), autoLearn); // One context map - final AxContextAlbum autoLearnAlbum = new AxContextAlbum(new AxArtifactKey("AutoLearnAlbum", DEFAULT_VERSION), + final var autoLearnAlbum = new AxContextAlbum(new AxArtifactKey("AutoLearnAlbum", DEFAULT_VERSION), "APPLICATION", true, autoLearn.getKey()); - final AxContextAlbums autoLearnAlbums = new AxContextAlbums( + final var autoLearnAlbums = new AxContextAlbums( new AxArtifactKey("AutoLearnContext", DEFAULT_VERSION)); autoLearnAlbums.getAlbumsMap().put(autoLearnAlbum.getKey(), autoLearnAlbum); @@ -405,49 +406,49 @@ public class AdaptiveDomainModelFactory { .setLogicPackage(this.getClass().getPackage().getName()) .setDefaultLogic("DefaultAutoLearnTask_Logic"); - final AxTask autoLearnMatchTask = new AxTask(new AxArtifactKey("AutoLearnMatchTask", DEFAULT_VERSION)); + final var autoLearnMatchTask = new AxTask(new AxArtifactKey("AutoLearnMatchTask", DEFAULT_VERSION)); autoLearnMatchTask.setTaskLogic(new AxTaskLogic(autoLearnMatchTask.getKey(), TASK_LOGIC, "MVEL", logicReader)); - final AxTask autoLearnEstablishTask = new AxTask(new AxArtifactKey("AutoLearnEstablishTask", DEFAULT_VERSION)); + final var autoLearnEstablishTask = new AxTask(new AxArtifactKey("AutoLearnEstablishTask", DEFAULT_VERSION)); autoLearnEstablishTask.setTaskLogic( new AxTaskLogic(autoLearnEstablishTask.getKey(), TASK_LOGIC, "MVEL", logicReader)); logicReader.setDefaultLogic(null); - final AxTask autoLearnDecideTask0 = new AxTask(new AxArtifactKey("AutoLearnDecideTask0", DEFAULT_VERSION)); + final var autoLearnDecideTask0 = new AxTask(new AxArtifactKey("AutoLearnDecideTask0", DEFAULT_VERSION)); autoLearnDecideTask0 .setTaskLogic(new AxTaskLogic(autoLearnDecideTask0.getKey(), TASK_LOGIC, "MVEL", logicReader)); - final AxTask autoLearnDecideTask1 = new AxTask(new AxArtifactKey("AutoLearnDecideTask1", DEFAULT_VERSION)); + final var autoLearnDecideTask1 = new AxTask(new AxArtifactKey("AutoLearnDecideTask1", DEFAULT_VERSION)); autoLearnDecideTask1 .setTaskLogic(new AxTaskLogic(autoLearnDecideTask1.getKey(), TASK_LOGIC, "MVEL", logicReader)); - final AxTask autoLearnDecideTask2 = new AxTask(new AxArtifactKey("AutoLearnDecideTask2", DEFAULT_VERSION)); + final var autoLearnDecideTask2 = new AxTask(new AxArtifactKey("AutoLearnDecideTask2", DEFAULT_VERSION)); autoLearnDecideTask2 .setTaskLogic(new AxTaskLogic(autoLearnDecideTask2.getKey(), TASK_LOGIC, "MVEL", logicReader)); - final AxTask autoLearnDecideTask3 = new AxTask(new AxArtifactKey("AutoLearnDecideTask3", DEFAULT_VERSION)); + final var autoLearnDecideTask3 = new AxTask(new AxArtifactKey("AutoLearnDecideTask3", DEFAULT_VERSION)); autoLearnDecideTask3 .setTaskLogic(new AxTaskLogic(autoLearnDecideTask3.getKey(), TASK_LOGIC, "MVEL", logicReader)); - final AxTask autoLearnDecideTask4 = new AxTask(new AxArtifactKey("AutoLearnDecideTask4", DEFAULT_VERSION)); + final var autoLearnDecideTask4 = new AxTask(new AxArtifactKey("AutoLearnDecideTask4", DEFAULT_VERSION)); autoLearnDecideTask4 .setTaskLogic(new AxTaskLogic(autoLearnDecideTask4.getKey(), TASK_LOGIC, "MVEL", logicReader)); - final AxTask autoLearnDecideTask5 = new AxTask(new AxArtifactKey("AutoLearnDecideTask5", DEFAULT_VERSION)); + final var autoLearnDecideTask5 = new AxTask(new AxArtifactKey("AutoLearnDecideTask5", DEFAULT_VERSION)); autoLearnDecideTask5 .setTaskLogic(new AxTaskLogic(autoLearnDecideTask5.getKey(), TASK_LOGIC, "MVEL", logicReader)); - final AxTask autoLearnDecideTask6 = new AxTask(new AxArtifactKey("AutoLearnDecideTask6", DEFAULT_VERSION)); + final var autoLearnDecideTask6 = new AxTask(new AxArtifactKey("AutoLearnDecideTask6", DEFAULT_VERSION)); autoLearnDecideTask6 .setTaskLogic(new AxTaskLogic(autoLearnDecideTask6.getKey(), TASK_LOGIC, "MVEL", logicReader)); logicReader.setDefaultLogic("DefaultAutoLearnTask_Logic"); - final AxTask autoLearnActTask = new AxTask(new AxArtifactKey("AutoLearnActTask", DEFAULT_VERSION)); + final var autoLearnActTask = new AxTask(new AxArtifactKey("AutoLearnActTask", DEFAULT_VERSION)); autoLearnActTask.setTaskLogic(new AxTaskLogic(autoLearnActTask.getKey(), TASK_LOGIC, "MVEL", logicReader)); - final AxTasks autoLearnTasks = new AxTasks(new AxArtifactKey("AutoLearnTasks", DEFAULT_VERSION)); + final var autoLearnTasks = new AxTasks(new AxArtifactKey("AutoLearnTasks", DEFAULT_VERSION)); autoLearnTasks.getTaskMap().put(autoLearnMatchTask.getKey(), autoLearnMatchTask); autoLearnTasks.getTaskMap().put(autoLearnEstablishTask.getKey(), autoLearnEstablishTask); autoLearnTasks.getTaskMap().put(autoLearnDecideTask0.getKey(), autoLearnDecideTask0); @@ -462,12 +463,12 @@ public class AdaptiveDomainModelFactory { // Policies logicReader.setDefaultLogic(DEFAULT_STATE_LOGIC); - final AxPolicy autoLearnPolicy = new AxPolicy(new AxArtifactKey("AutoLearnPolicy", DEFAULT_VERSION)); + final var autoLearnPolicy = new AxPolicy(new AxArtifactKey("AutoLearnPolicy", DEFAULT_VERSION)); autoLearnPolicy.setTemplate("MEDA"); - final AxState autoLearnActState = new AxState(new AxReferenceKey(autoLearnPolicy.getKey(), "Act")); + final var autoLearnActState = new AxState(new AxReferenceKey(autoLearnPolicy.getKey(), "Act")); autoLearnActState.setTrigger(autoLearnDecideEvent.getKey()); - final AxStateOutput alAct2Out = new AxStateOutput(autoLearnActState.getKey(), AxReferenceKey.getNullKey(), + final var alAct2Out = new AxStateOutput(autoLearnActState.getKey(), AxReferenceKey.getNullKey(), autoLearnActEvent.getKey()); autoLearnActState.getStateOutputs().put(alAct2Out.getKey().getLocalName(), alAct2Out); autoLearnActState.setTaskSelectionLogic(new AxTaskSelectionLogic(autoLearnActState.getKey(), @@ -479,9 +480,9 @@ public class AdaptiveDomainModelFactory { logicReader.setDefaultLogic(null); - final AxState autoLearnDecideState = new AxState(new AxReferenceKey(autoLearnPolicy.getKey(), DECIDE)); + final var autoLearnDecideState = new AxState(new AxReferenceKey(autoLearnPolicy.getKey(), DECIDE)); autoLearnDecideState.setTrigger(autoLearnEstablishEvent.getKey()); - final AxStateOutput alDec2Act = new AxStateOutput(autoLearnDecideState.getKey(), autoLearnActState.getKey(), + final var alDec2Act = new AxStateOutput(autoLearnDecideState.getKey(), autoLearnActState.getKey(), autoLearnDecideEvent.getKey()); autoLearnDecideState.getStateOutputs().put(alDec2Act.getKey().getLocalName(), alDec2Act); autoLearnDecideState.getContextAlbumReferences().add(autoLearnAlbum.getKey()); @@ -512,9 +513,9 @@ public class AdaptiveDomainModelFactory { logicReader.setDefaultLogic(DEFAULT_STATE_LOGIC); - final AxState autoLearnEstablishState = new AxState(new AxReferenceKey(autoLearnPolicy.getKey(), ESTABLISH)); + final var autoLearnEstablishState = new AxState(new AxReferenceKey(autoLearnPolicy.getKey(), ESTABLISH)); autoLearnEstablishState.setTrigger(autoLearnMatchEvent.getKey()); - final AxStateOutput alEst2Dec = new AxStateOutput(autoLearnEstablishState.getKey(), + final var alEst2Dec = new AxStateOutput(autoLearnEstablishState.getKey(), autoLearnDecideState.getKey(), autoLearnEstablishEvent.getKey()); autoLearnEstablishState.getStateOutputs().put(alEst2Dec.getKey().getLocalName(), alEst2Dec); autoLearnEstablishState.setTaskSelectionLogic(new AxTaskSelectionLogic(autoLearnEstablishState.getKey(), @@ -524,9 +525,9 @@ public class AdaptiveDomainModelFactory { new AxStateTaskReference(autoLearnEstablishState.getKey(), autoLearnEstablishTask.getKey(), AxStateTaskOutputType.DIRECT, alEst2Dec.getKey())); - final AxState autoLearnMatchState = new AxState(new AxReferenceKey(autoLearnPolicy.getKey(), MATCH)); + final var autoLearnMatchState = new AxState(new AxReferenceKey(autoLearnPolicy.getKey(), MATCH)); autoLearnMatchState.setTrigger(autoLearnTriggerEvent.getKey()); - final AxStateOutput alMat2Est = new AxStateOutput(autoLearnMatchState.getKey(), + final var alMat2Est = new AxStateOutput(autoLearnMatchState.getKey(), autoLearnEstablishState.getKey(), autoLearnMatchEvent.getKey()); autoLearnMatchState.getStateOutputs().put(alMat2Est.getKey().getLocalName(), alMat2Est); autoLearnMatchState.setTaskSelectionLogic(new AxTaskSelectionLogic(autoLearnMatchState.getKey(), @@ -542,12 +543,12 @@ public class AdaptiveDomainModelFactory { autoLearnPolicy.getStateMap().put(autoLearnDecideState.getKey().getLocalName(), autoLearnDecideState); autoLearnPolicy.getStateMap().put(autoLearnActState.getKey().getLocalName(), autoLearnActState); - final AxPolicies autoLearnPolicies = new AxPolicies(new AxArtifactKey("AutoLearnPolicies", DEFAULT_VERSION)); + final var autoLearnPolicies = new AxPolicies(new AxArtifactKey("AutoLearnPolicies", DEFAULT_VERSION)); autoLearnPolicies.getPolicyMap().put(autoLearnPolicy.getKey(), autoLearnPolicy); - final AxKeyInformation keyInformation = new AxKeyInformation( + final var keyInformation = new AxKeyInformation( new AxArtifactKey("AutoLearnKeyInformation", DEFAULT_VERSION)); - final AxPolicyModel autoLearnPolicyModel = new AxPolicyModel( + final var autoLearnPolicyModel = new AxPolicyModel( new AxArtifactKey("AutoLearnPolicyModel", DEFAULT_VERSION)); autoLearnPolicyModel.setPolicies(autoLearnPolicies); autoLearnPolicyModel.setEvents(autoLearnEvents); |