org.optaplanner.openshift.employeerostering.server.solver.WannabeSolverManager Maven / Gradle / Ivy
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/*
* Copyright 2017 Red Hat, Inc. and/or its affiliates.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.optaplanner.openshift.employeerostering.server.solver;
import java.util.Optional;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.ConcurrentMap;
import javax.annotation.PostConstruct;
import javax.annotation.Resource;
import javax.enterprise.concurrent.ManagedExecutorService;
import javax.enterprise.context.ApplicationScoped;
import javax.inject.Inject;
import org.optaplanner.core.api.solver.Solver;
import org.optaplanner.core.api.solver.SolverFactory;
import org.optaplanner.openshift.employeerostering.shared.roster.Roster;
import org.optaplanner.openshift.employeerostering.shared.roster.RosterRestService;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
// TODO Replace by real SolverManager once it exists in optaplanner-core
@ApplicationScoped
public class WannabeSolverManager {
protected final transient Logger logger = LoggerFactory.getLogger(getClass());
private SolverFactory solverFactory;
// TODO Needs to default to size Math.max(1, Runtime.getRuntime().availableProcessors() - 2);
@Resource(name = "DefaultManagedExecutorService")
private ManagedExecutorService executorService;
@Inject
private RosterRestService rosterRestService;
private ConcurrentMap tenantIdToSolverStateMap = new ConcurrentHashMap<>();
private ConcurrentMap> tenantIdToSolverMap = new ConcurrentHashMap<>();
@PostConstruct
public void setUpSolverFactory() {
solverFactory = SolverFactory.createFromXmlResource(
"org/optaplanner/openshift/employeerostering/server/solver/employeeRosteringSolverConfig.xml");
}
public void terminate(Integer tenantId) {
Solver solver = tenantIdToSolverMap.get(tenantId);
if (null != solver) {
solver.terminateEarly();
} else {
throw new IllegalStateException("The roster with tenantId (" + tenantId
+ ") is not being solved currently.");
}
}
public void solve(Integer tenantId) {
logger.info("Scheduling solver for tenantId ({})...", tenantId);
// No 2 solve() calls of the same dataset in parallel
tenantIdToSolverStateMap.compute(tenantId, (k, solverStatus) -> {
if (solverStatus != null && solverStatus != SolverStatus.TERMINATED) {
throw new IllegalStateException("The roster with tenantId (" + tenantId
+ ") is already solving with solverStatus (" + solverStatus + ").");
}
return SolverStatus.SCHEDULED;
});
executorService.submit(() -> {
try {
Solver solver = solverFactory.buildSolver();
tenantIdToSolverMap.put(tenantId, solver);
solver.addEventListener(event -> {
if (event.isEveryProblemFactChangeProcessed()) {
logger.info(" New best solution found for tenantId ({}).", tenantId);
Roster newBestRoster = event.getNewBestSolution();
// TODO if this throws an OptimisticLockingException, does it kill the solver?
rosterRestService.updateShiftsOfRoster(newBestRoster);
}
});
Roster roster = rosterRestService.buildRoster(tenantId);
try {
tenantIdToSolverStateMap.put(tenantId, SolverStatus.SOLVING);
// TODO No need to store the returned roster because the SolverEventListener already does it?
solver.solve(roster);
} finally {
tenantIdToSolverMap.remove(tenantId);
tenantIdToSolverStateMap.put(tenantId, SolverStatus.TERMINATED);
}
} catch (Throwable e) {
// TODO handle errors through Thread'sExceptionHandler
logger.error("Error solving for tenantId (" + tenantId + ").", e);
}
});
}
public Roster getRoster(final Integer tenantId) {
Solver solver = tenantIdToSolverMap.get(tenantId);
return solver == null ? null : solver.getBestSolution();
}
}