Optaplanner: NullPointerException when calling scoreDirector.beforeVariableChanged in a simple custom move - optaplanner

I am building a Capacited Vehicle Routing Problem with Time Windows, but with one small difference when compared to the one provided in examples from the documentation: I don't have a depot. Instead, each order has a pickup step, and a delivery step, in two different locations.
(like in the Vehicle Routing example from the documentation, the previousStep planning variable has the CHAINED graph type, and its valueRangeProviderRefs includes both Drivers, and Steps)
This difference adds a couple of constraints:
the pickup and delivery steps of a given order must be handled by the same driver
the pickup must be before the delivery
After experimenting with constraints, I have found that it would be more efficient to implement two types of custom moves:
assign both steps of an order to a driver
rearrange the steps of a driver
I am currently implementing that first custom move. My solver's configuration looks like this:
SolverFactory<RoutingProblem> solverFactory = SolverFactory.create(
new SolverConfig()
.withSolutionClass(RoutingProblem.class)
.withEntityClasses(Step.class, StepList.class)
.withScoreDirectorFactory(new ScoreDirectorFactoryConfig()
.withConstraintProviderClass(Constraints.class)
)
.withTerminationConfig(new TerminationConfig()
.withSecondsSpentLimit(60L)
)
.withPhaseList(List.of(
new LocalSearchPhaseConfig()
.withMoveSelectorConfig(CustomMoveListFactory.getConfig())
))
);
My CustomMoveListFactory looks like this (I plan on migrating it to an MoveIteratorFactory later, but for the moment, this is easier to read and write):
public class CustomMoveListFactory implements MoveListFactory<RoutingProblem> {
public static MoveListFactoryConfig getConfig() {
MoveListFactoryConfig result = new MoveListFactoryConfig();
result.setMoveListFactoryClass(CustomMoveListFactory.class);
return result;
}
#Override
public List<? extends Move<RoutingProblem>> createMoveList(RoutingProblem routingProblem) {
List<Move<RoutingProblem>> moves = new ArrayList<>();
// 1. Assign moves
for (Order order : routingProblem.getOrders()) {
Driver currentDriver = order.getDriver();
for (Driver driver : routingProblem.getDrivers()) {
if (!driver.equals(currentDriver)) {
moves.add(new AssignMove(order, driver));
}
}
}
// 2. Rearrange moves
// TODO
return moves;
}
}
And finally, the move itself looks like this (nevermind the undo or the isDoable for the moment):
#Override
protected void doMoveOnGenuineVariables(ScoreDirector<RoutingProblem> scoreDirector) {
assignStep(scoreDirector, order.getPickupStep());
assignStep(scoreDirector, order.getDeliveryStep());
}
private void assignStep(ScoreDirector<RoutingProblem> scoreDirector, Step step) {
StepList beforeStep = step.getPreviousStep();
Step afterStep = step.getNextStep();
// 1. Insert step at the end of the driver's step list
StepList lastStep = driver.getLastStep();
scoreDirector.beforeVariableChanged(step, "previousStep"); // NullPointerException here
step.setPreviousStep(lastStep);
scoreDirector.afterVariableChanged(step, "previousStep");
// 2. Remove step from current chained list
if (afterStep != null) {
scoreDirector.beforeVariableChanged(afterStep, "previousStep");
afterStep.setPreviousStep(beforeStep);
scoreDirector.afterVariableChanged(afterStep, "previousStep");
}
}
The idea being that at no point I'm doing an invalid chained list manipulation:
However, as the title and the code comment indicate, I am getting a NullPointerException when I call scoreDirector.beforeVariableChanged. None of my variables are null (I've printed them to make sure). The NullPointerException doesn't occur in my code, but deep inside Optaplanner's inner workings, making it difficult for me to fix it:
Exception in thread "main" java.lang.NullPointerException
at org.drools.core.common.NamedEntryPoint.update(NamedEntryPoint.java:353)
at org.drools.core.common.NamedEntryPoint.update(NamedEntryPoint.java:338)
at org.drools.core.impl.StatefulKnowledgeSessionImpl.update(StatefulKnowledgeSessionImpl.java:1579)
at org.drools.core.impl.StatefulKnowledgeSessionImpl.update(StatefulKnowledgeSessionImpl.java:1551)
at org.optaplanner.core.impl.score.stream.drools.DroolsConstraintSession.update(DroolsConstraintSession.java:49)
at org.optaplanner.core.impl.score.director.stream.ConstraintStreamScoreDirector.afterVariableChanged(ConstraintStreamScoreDirector.java:137)
at org.optaplanner.core.impl.domain.variable.inverserelation.SingletonInverseVariableListener.retract(SingletonInverseVariableListener.java:96)
at org.optaplanner.core.impl.domain.variable.inverserelation.SingletonInverseVariableListener.beforeVariableChanged(SingletonInverseVariableListener.java:46)
at org.optaplanner.core.impl.domain.variable.listener.support.VariableListenerSupport.beforeVariableChanged(VariableListenerSupport.java:170)
at org.optaplanner.core.impl.score.director.AbstractScoreDirector.beforeVariableChanged(AbstractScoreDirector.java:430)
at org.optaplanner.core.impl.score.director.AbstractScoreDirector.beforeVariableChanged(AbstractScoreDirector.java:390)
at test.optaplanner.solver.AssignMove.assignStep(AssignMove.java:98)
at test.optaplanner.solver.AssignMove.doMoveOnGenuineVariables(AssignMove.java:85)
at org.optaplanner.core.impl.heuristic.move.AbstractMove.doMove(AbstractMove.java:35)
at org.optaplanner.core.impl.heuristic.move.AbstractMove.doMove(AbstractMove.java:30)
at org.optaplanner.core.impl.score.director.AbstractScoreDirector.doAndProcessMove(AbstractScoreDirector.java:187)
at org.optaplanner.core.impl.localsearch.decider.LocalSearchDecider.doMove(LocalSearchDecider.java:132)
at org.optaplanner.core.impl.localsearch.decider.LocalSearchDecider.decideNextStep(LocalSearchDecider.java:116)
at org.optaplanner.core.impl.localsearch.DefaultLocalSearchPhase.solve(DefaultLocalSearchPhase.java:70)
at org.optaplanner.core.impl.solver.AbstractSolver.runPhases(AbstractSolver.java:98)
at org.optaplanner.core.impl.solver.DefaultSolver.solve(DefaultSolver.java:189)
at test.optaplanner.OptaPlannerService.testOptaplanner(OptaPlannerService.java:68)
at test.optaplanner.App.main(App.java:13)
Is there something I did wrong? It seems I am following the documentation for custom moves fairly closely, outside of the fact that I am using exclusively java code instead of drools.
The initial solution I feed to the solver has all of the steps assigned to a single driver. There are 15 drivers and 40 orders.
In order to bypass this error, I have tried a number of different things:
remove the shadow variable annotation, turn Driver into a problem fact, and handle the nextStep field myself => this makes no difference
use Simulated Annealing + First Fit Decreasing construction heuristics, and start with steps not assigned to any driver (this was inspired by looking up the example here, which is more complete than the one from the documentation) => the NullPointerException appears on afterVariableChanged instead, but it still appears.
a number of other things which were probably not very smart
But without a more helpful error message, I can't think of anything else to try.
Thank you for your help

Related

Configure LocalSearch UnionMove via JavaAPI

Various aspects of OptaPlanner configuration can be specified in the XML config then overridden via JavaAPI. For example you can set a default TerminationConfig in your XML then at runtime switch it for a user specified value.
The docs seem to indicate that it should be possible, but I haven't found any examples. The context is that I'm hoping to dynamically alter the UnionMove section of the config and omit Swap moves if the instance to be solved doesn't have at least 2 planning entities. Currently this results in lots of Bailing from infinite logging when users are experimenting with small problems.
Taken from https://www.optaplanner.org/docs/optaplanner/latest/planner-configuration/planner-configuration.html#solverConfigurationByJavaAPI :
private SolverConfig template;
public void init() {
template = SolverConfig.createFromXmlResource(
"org/optaplanner/examples/nqueens/solver/nqueensSolverConfig.xml");
template.setTerminationConfig(new TerminationConfig());
}
// Called concurrently from different threads
public void userRequest(..., long userInput) {
SolverConfig solverConfig = new SolverConfig(template); // Copy it
solverConfig.getTerminationConfig().setMinutesSpentLimit(userInput);
SolverFactory<NQueens> solverFactory = SolverFactory.create(solverConfig);
Solver<NQueens> solver = solverFactory.buildSolver();
...
}
In your case, you would need to modify the Phase List of the SolverConfig (see the SolverConfig Javadocs ); the move selectors can be gotten and set via LocalSearchPhaseConfig and ConstructionHeuristicPhaseConfig (you need to use instanceof when iterating phase list to determine which one to cast to).
The bailing from infinite logging sound like a bug.

Custom command to go back in a process instance (execution)

I have a process where I have 3 sequential user tasks (something like Task 1 -> Task 2 -> Task 3). So, to validate the Task 3, I have to validate the Task 1, then the Task 2.
My goal is to implement a workaround to go back in an execution of a process instance thanks to a Command like suggested in this link. The problem is I started to implement the command by it does not work as I want. The algorithm should be something like:
Retrieve the task with the passed id
Get the process instance of this task
Get the historic tasks of the process instance
From the list of the historic tasks, deduce the previous one
Create a new task from the previous historic task
Make the execution to point to this new task
Maybe clean the task pointed before the update
So, the code of my command is like that:
public class MoveTokenCmd implements Command<Void> {
protected String fromTaskId = "20918";
public MoveTokenCmd() {
}
public Void execute(CommandContext commandContext) {
HistoricTaskInstanceEntity currentUserTaskEntity = commandContext.getHistoricTaskInstanceEntityManager()
.findHistoricTaskInstanceById(fromTaskId);
ExecutionEntity currentExecution = commandContext.getExecutionEntityManager()
.findExecutionById(currentUserTaskEntity.getExecutionId());
// Get process Instance
HistoricProcessInstanceEntity historicProcessInstanceEntity = commandContext
.getHistoricProcessInstanceEntityManager()
.findHistoricProcessInstance(currentUserTaskEntity.getProcessInstanceId());
HistoricTaskInstanceQueryImpl historicTaskInstanceQuery = new HistoricTaskInstanceQueryImpl();
historicTaskInstanceQuery.processInstanceId(historicProcessInstanceEntity.getId()).orderByExecutionId().desc();
List<HistoricTaskInstance> historicTaskInstances = commandContext.getHistoricTaskInstanceEntityManager()
.findHistoricTaskInstancesByQueryCriteria(historicTaskInstanceQuery);
int index = 0;
for (HistoricTaskInstance historicTaskInstance : historicTaskInstances) {
if (historicTaskInstance.getId().equals(currentUserTaskEntity.getId())) {
break;
}
index++;
}
if (index > 0) {
HistoricTaskInstance previousTask = historicTaskInstances.get(index - 1);
TaskEntity newTaskEntity = createTaskFromHistoricTask(previousTask, commandContext);
currentExecution.addTask(newTaskEntity);
commandContext.getTaskEntityManager().insert(newTaskEntity);
AtomicOperation.TRANSITION_CREATE_SCOPE.execute(currentExecution);
} else {
// TODO: find the last task of the previous process instance
}
// To overcome the "Task cannot be deleted because is part of a running
// process"
TaskEntity currentUserTask = commandContext.getTaskEntityManager().findTaskById(fromTaskId);
if (currentUserTask != null) {
currentUserTask.setExecutionId(null);
commandContext.getTaskEntityManager().deleteTask(currentUserTask, "jumped to another task", true);
}
return null;
}
private TaskEntity createTaskFromHistoricTask(HistoricTaskInstance historicTaskInstance,
CommandContext commandContext) {
TaskEntity newTaskEntity = new TaskEntity();
newTaskEntity.setProcessDefinitionId(historicTaskInstance.getProcessDefinitionId());
newTaskEntity.setName(historicTaskInstance.getName());
newTaskEntity.setTaskDefinitionKey(historicTaskInstance.getTaskDefinitionKey());
newTaskEntity.setProcessInstanceId(historicTaskInstance.getExecutionId());
newTaskEntity.setExecutionId(historicTaskInstance.getExecutionId());
return newTaskEntity;
}
}
But the problem is I can see my task is created, but the execution does not point to it but to the current one.
I had the idea to use the activity (via the object ActivityImpl) to set it to the execution but I don't know how to retrieve the activity of my new task.
Can someone help me, please?
Unless somethign has changed in the engine significantly the code in the link you reference should still work (I have used it on a number of projects).
That said, when scanning your code I don't see the most important command.
Once you have the current execution, you can move the token by setting the current activity.
Like I said, the code in the referenced article used to work and still should.
Greg
Referring the same link in your question, i would personally recommend to work with the design of you your process. use an exclusive gateway to decide whether the process should end or should be returned to the previous task. if the generation of task is dynamic, you can point to the same task and delete local variable. Activiti has constructs to save your time from implementing the same :).

Get broken constrains in OptaPanner with non-reversible accumulator

I am trying to obtains list of broken constrains from a problem instance in OptaPlanner. I am using OptaPlanner version 7.0.0.Final and drools for rules engine (also 7.0.0.Final). The problem is solved correctly and without any error, but when I try to obtain broken constrains I get a NullPointer exception.
As far as I have researched, I found out, that this only happens, when I use drools accumulator without reverse operation (like max or min). Further I have made a custom accumulator, which is the exact copy from org.drools.core.base.accumulators.LongSumAccumulateFunction and everything works as expected, but as soon as I change the supportsReverse() function to return false, the NullPointer exception rises.
I have managed to reconstruct this problem in one of the provided examples - CloudBalancing. This is the change to CloudBalancingHelloWorld, it's only purpose is to obtain list of broken constraints as mentioned in this post.
public class CloudBalancingHelloWorld {
public static void main(String[] args) {
// Build the Solver
SolverFactory<CloudBalance> solverFactory = SolverFactory.createFromXmlResource(
"org/optaplanner/examples/cloudbalancing/solver/cloudBalancingSolverConfig.xml");
Solver<CloudBalance> solver = solverFactory.buildSolver();
// Load a problem with 400 computers and 1200 processes
CloudBalance unsolvedCloudBalance = new CloudBalancingGenerator().createCloudBalance(400, 1200);
// Solve the problem
CloudBalance solvedCloudBalance = solver.solve(unsolvedCloudBalance);
// Display the result
System.out.println("\nSolved cloudBalance with 400 computers and 1200 processes:\n"
+ toDisplayString(solvedCloudBalance));
//
//A Piece of code added - start
//
ScoreDirector<CloudBalance> scoreDirector = solver.getScoreDirectorFactory().buildScoreDirector();
scoreDirector.setWorkingSolution(solvedCloudBalance);
Collection<ConstraintMatchTotal> constrains = scoreDirector.getConstraintMatchTotals();
System.out.println(constrains.size());
//
//A Piece of code added - end
//
}
public static String toDisplayString(CloudBalance cloudBalance) {
StringBuilder displayString = new StringBuilder();
for (CloudProcess process : cloudBalance.getProcessList()) {
CloudComputer computer = process.getComputer();
displayString.append(" ").append(process.getLabel()).append(" -> ")
.append(computer == null ? null : computer.getLabel()).append("\n");
}
return displayString.toString();
}
}
And this is the change to requiredCpoPowerTotal rule. Please note that I have done this only to demonstrate the problem. Basicaly I have changed sum to max.
rule "requiredCpuPowerTotal"
when
$computer : CloudComputer($cpuPower : cpuPower)
accumulate(
CloudProcess(
computer == $computer,
$requiredCpuPower : requiredCpuPower);
$requiredCpuPowerTotal : max($requiredCpuPower);
(Integer) $requiredCpuPowerTotal > $cpuPower
)
then
scoreHolder.addHardConstraintMatch(kcontext, $cpuPower - (Integer) $requiredCpuPowerTotal);
end
I am really confused, because the error does not happen during planing phase, but when the scoreDirector recomputes the score to obtain broken constrains it does. I mean the same calculations must have happened during the planning phase right?
Anyway here is the stack trace
Exception in thread "main" Exception executing consequence for rule "requiredCpuPowerTotal" in org.optaplanner.examples.cloudbalancing.solver: java.lang.NullPointerException
at org.drools.core.runtime.rule.impl.DefaultConsequenceExceptionHandler.handleException(DefaultConsequenceExceptionHandler.java:39)
at org.drools.core.common.DefaultAgenda.handleException(DefaultAgenda.java:1256)
at org.drools.core.phreak.RuleExecutor.innerFireActivation(RuleExecutor.java:438)
at org.drools.core.phreak.RuleExecutor.fireActivation(RuleExecutor.java:379)
at org.drools.core.phreak.RuleExecutor.fire(RuleExecutor.java:135)
at org.drools.core.phreak.RuleExecutor.evaluateNetworkAndFire(RuleExecutor.java:88)
at org.drools.core.concurrent.AbstractRuleEvaluator.internalEvaluateAndFire(AbstractRuleEvaluator.java:34)
at org.drools.core.concurrent.SequentialRuleEvaluator.evaluateAndFire(SequentialRuleEvaluator.java:43)
at org.drools.core.common.DefaultAgenda.fireLoop(DefaultAgenda.java:1072)
at org.drools.core.common.DefaultAgenda.internalFireAllRules(DefaultAgenda.java:1019)
at org.drools.core.common.DefaultAgenda.fireAllRules(DefaultAgenda.java:1011)
at org.drools.core.impl.StatefulKnowledgeSessionImpl.internalFireAllRules(StatefulKnowledgeSessionImpl.java:1321)
at org.drools.core.impl.StatefulKnowledgeSessionImpl.fireAllRules(StatefulKnowledgeSessionImpl.java:1312)
at org.drools.core.impl.StatefulKnowledgeSessionImpl.fireAllRules(StatefulKnowledgeSessionImpl.java:1296)
at org.optaplanner.core.impl.score.director.drools.DroolsScoreDirector.getConstraintMatchTotals(DroolsScoreDirector.java:134)
at org.optaplanner.examples.cloudbalancing.app.CloudBalancingHelloWorld.main(CloudBalancingHelloWorld.java:52)
Caused by: java.lang.NullPointerException
at org.drools.core.base.accumulators.JavaAccumulatorFunctionExecutor$JavaAccumulatorFunctionContext.getAccumulatedObjects(JavaAccumulatorFunctionExecutor.java:208)
at org.drools.core.reteoo.FromNodeLeftTuple.getAccumulatedObjects(FromNodeLeftTuple.java:94)
at org.drools.core.common.AgendaItem.getObjectsDeep(AgendaItem.java:78)
at org.drools.core.reteoo.RuleTerminalNodeLeftTuple.getObjectsDeep(RuleTerminalNodeLeftTuple.java:359)
at org.optaplanner.core.api.score.holder.AbstractScoreHolder.extractJustificationList(AbstractScoreHolder.java:118)
at org.optaplanner.core.api.score.holder.AbstractScoreHolder.registerConstraintMatch(AbstractScoreHolder.java:88)
at org.optaplanner.core.api.score.buildin.hardsoft.HardSoftScoreHolder.addHardConstraintMatch(HardSoftScoreHolder.java:53)
at org.optaplanner.examples.cloudbalancing.solver.Rule_requiredCpuPowerTotal1284553313.defaultConsequence(Rule_requiredCpuPowerTotal1284553313.java:14)
at org.optaplanner.examples.cloudbalancing.solver.Rule_requiredCpuPowerTotal1284553313DefaultConsequenceInvokerGenerated.evaluate(Unknown Source)
at org.optaplanner.examples.cloudbalancing.solver.Rule_requiredCpuPowerTotal1284553313DefaultConsequenceInvoker.evaluate(Unknown Source)
at org.drools.core.phreak.RuleExecutor.innerFireActivation(RuleExecutor.java:431)
... 13 more
Thank you for any help in advance.
That NPE sounds like a bug in Drools. The ConstraintMatch API should always just work. Very that you get it against the latest master version. If so, please create a jira for this with a minimal reproducer and we'll look into it.

Can collections / iterables / streams be passed into #ParamterizedTests?

In Junit5 5.0.0 M4 I could do this:
#ParameterizedTest
#MethodSource("generateCollections")
void testCollections(Collection<Object> collection) {
assertOnCollection(collection);
}
private static Iterator<Collection<Object>> generateCollections() {
Random generator = new Random();
// We'll run as many tests as possible in 500 milliseconds.
final Instant endTime = Instant.now().plusNanos(500000000);
return new Iterator<Collection<Object>>() {
#Override public boolean hasNext() {
return Instant.now().isBefore(endTime);
}
#Override public Collection<Object> next() {
// Dummy code
return Arrays.asList("this", "that", Instant.now());
}
};
}
Or any number of other things that ended up with collections of one type or another being passed into my #ParameterizedTest. This no longer works: I now get the error
org.junit.jupiter.api.extension.ParameterResolutionException:
Error resolving parameter at index 0
I've been looking through the recent commits to SNAPSHOT and I there's a few changes in the area, but I can't see anything that definitely changes this.
Is this a deliberate change? I'd ask this on a JUnit5 developer channel but I can't find one. And it's not a bug per se: passing a collection is not a documented feature.
If this is a deliberate change, then this is a definite use-case for #TestFactory...
See https://github.com/junit-team/junit5/issues/872
The next snapshot build should fix the regression.

Programmatically execute Gatling tests

I want to use something like Cucumber JVM to drive performance tests written for Gatling.
Ideally the Cucumber features would somehow build a scenario dynamically - probably reusing predefined chain objects similar to the method described in the "Advanced Tutorial", e.g.
val scn = scenario("Scenario Name").exec(Search.search("foo"), Browse.browse, Edit.edit("foo", "bar")
I've looked at how the Maven plugin executes the scripts, and I've also seen mention of using an App trait but I can't find any documentation for the later and it strikes me that somebody else will have wanted to do this before...
Can anybody point (a Gatling noob) in the direction of some documentation or example code of how to achieve this?
EDIT 20150515
So to explain a little more:
I have created a trait which is intended to build up a sequence of, I think, ChainBuilders that are triggered by Cucumber steps:
trait GatlingDsl extends ScalaDsl with EN {
private val gatlingActions = new ArrayBuffer[GatlingBehaviour]
def withGatling(action: GatlingBehaviour): Unit = {
gatlingActions += action
}
}
A GatlingBehaviour would look something like:
object Google {
class Home extends GatlingBehaviour {
def execute: ChainBuilder =
exec(http("Google Home")
.get("/")
)
}
class Search extends GatlingBehaviour {...}
class FindResult extends GatlingBehaviour {...}
}
And inside the StepDef class:
class GoogleStepDefinitions extends GatlingDsl {
Given( """^the Google search page is displayed$""") { () =>
println("Loading www.google.com")
withGatling(Home())
}
When( """^I search for the term "(.*)"$""") { (searchTerm: String) =>
println("Searching for '" + searchTerm + "'...")
withGatling(Search(searchTerm))
}
Then( """^"(.*)" appears in the search results$""") { (expectedResult: String) =>
println("Found " + expectedResult)
withGatling(FindResult(expectedResult))
}
}
The idea being that I can then execute the whole sequence of actions via something like:
val scn = Scenario(cucumberScenario).exec(gatlingActions)
setup(scn.inject(atOnceUsers(1)).protocols(httpConf))
and then check the reports or catch an exception if the test fails, e.g. response time too long.
It seems that no matter how I use the 'exec' method it tries to instantly execute it there and then, not waiting for the scenario.
Also I don't know if this is the best approach to take, we'd like to build some reusable blocks for our Gatling tests that can be constructed via Cucumber's Given/When/Then style. Is there a better or already existing approach?
Sadly, it's not currently feasible to have Gatling directly start a Simulation instance.
Not that's it's not technically feasible, but you're just the first person to try to do this.
Currently, Gatling is usually in charge of compiling and can only be passed the name of the class to load, not an instance itself.
You can maybe start by forking io.gatling.app.Gatling and io.gatling.core.runner.Runner, and then provide a PR to support this new behavior. The former is the main entry point, and the latter the one can instanciate and run the simulation.
I recently ran into a similar situation, and did not want to fork gatling. And while this solved my immediate problem, it only partially solves what you are trying to do, but hopefully someone else will find this useful.
There is an alternative. Gatling is written in Java and Scala so you can call Gatling.main directly and pass it the arguments you need to run the Gatling Simulation you want. The problem is, the main explicitly calls System.exit so you have to also use a custom security manager to prevent it from actually exiting.
You need to know two things:
the class (with the full package) of the Simulation you want to run
example: com.package.your.Simulation1
the path where the binaries are compiled.
The code to run a Simulation:
protected void fire(String gatlingGun, String binaries){
SecurityManager sm = System.getSecurityManager();
System.setSecurityManager(new GatlingSecurityManager());
String[] args = {"--simulation", gatlingGun,
"--results-folder", "gatling-results",
"--binaries-folder", binaries};
try {
io.gatling.app.Gatling.main(args);
}catch(SecurityException se){
LOG.debug("gatling test finished.");
}
System.setSecurityManager(sm);
}
The simple security manager i used:
public class GatlingSecurityManager extends SecurityManager {
#Override
public void checkExit(int status){
throw new SecurityException("Tried to exit.");
}
#Override
public void checkPermission(Permission perm) {
return;
}
}
The problem is then getting the information you want out of the simulation after it has been run.