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authorlapentafd <francesco.lapenta@est.tech>2021-06-30 13:10:42 +0100
committerlapentafd <francesco.lapenta@est.tech>2021-07-08 15:02:11 +0100
commit7ec6f6a88b3a90a0f865f2798ff70f13278e40c2 (patch)
treef30d305210573fde0f29f97ca7ca0200586685fe /examples/examples-adaptive/src
parentd532d7b5e422ce3e4ef9f6992ef159960988be8f (diff)
Fix Sonar in apex examples aadm bbs
Replacing local-variable type inference Issue-ID: POLICY-3093 Change-Id: I84bc2d182256f6a4aa24d9c1e020e934190bd623 Signed-off-by: lapentafd <francesco.lapenta@est.tech>
Diffstat (limited to 'examples/examples-adaptive/src')
-rw-r--r--examples/examples-adaptive/src/main/java/org/onap/policy/apex/examples/adaptive/model/AdaptiveDomainModelFactory.java131
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);