/*
 * Copyright 2015 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.
 *
 *      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.drools.beliefs.bayes.weaver;

import org.drools.beliefs.bayes.assembler.BayesPackage;
import org.drools.core.definitions.InternalKnowledgePackage;
import org.kie.api.definition.KiePackage;
import org.kie.api.internal.weaver.KieWeaverService;
import org.kie.api.io.ResourceType;

public class BayesWeaverService implements KieWeaverService<BayesPackage> {

    @Override
    public ResourceType getResourceType() {
        return ResourceType.BAYES;
    }

    @Override
    public void merge(KiePackage kiePkg, BayesPackage bayesPkg) {
        InternalKnowledgePackage internalPkg = (InternalKnowledgePackage) kiePkg;
        BayesPackage registeredPkg = internalPkg.getResourceTypePackages()
                .computeIfAbsent(ResourceType.BAYES, rt -> new BayesPackage(kiePkg.getName()));

        for (String name : bayesPkg.listJunctionTrees()) {
            registeredPkg.addJunctionTree(name, bayesPkg.getJunctionTree(name));
        }
    }

    @Override
    public void weave(KiePackage kiePkg, BayesPackage rtPkg) {
        System.out.println("Hello World ");
    }
}
