eu.project.ttc.engines.ScorerAE.java Source code

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/*******************************************************************************
 * Copyright 2015-2016 - CNRS (Centre National de Recherche Scientifique)
 *
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you 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 eu.project.ttc.engines;

import java.util.Set;
import java.util.TreeSet;

import org.apache.uima.UimaContext;
import org.apache.uima.analysis_engine.AnalysisEngineProcessException;
import org.apache.uima.fit.component.JCasAnnotator_ImplBase;
import org.apache.uima.fit.descriptor.ExternalResource;
import org.apache.uima.jcas.JCas;
import org.apache.uima.resource.ResourceInitializationException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import com.google.common.base.Optional;
import com.google.common.collect.Sets;

import eu.project.ttc.history.TermHistoryResource;
import eu.project.ttc.models.Term;
import eu.project.ttc.models.TermIndex;
import eu.project.ttc.models.TermVariation;
import eu.project.ttc.models.scored.ScoredModel;
import eu.project.ttc.models.scored.ScoredTerm;
import eu.project.ttc.models.scored.ScoredVariation;
import eu.project.ttc.resources.ObserverResource;
import eu.project.ttc.resources.ObserverResource.SubTaskObserver;
import eu.project.ttc.resources.TermIndexResource;
import eu.project.ttc.termino.engines.TermVariationScorer;
import eu.project.ttc.termino.engines.VariantScorerConfig;

public class ScorerAE extends JCasAnnotator_ImplBase {
    private static final Logger logger = LoggerFactory.getLogger(ScorerAE.class);
    public static final String TASK_NAME = "Scorying terms";

    @ExternalResource(key = ObserverResource.OBSERVER, mandatory = true)
    protected ObserverResource observerResource;

    @ExternalResource(key = TermIndexResource.TERM_INDEX, mandatory = true)
    private TermIndexResource termIndexResource;

    @ExternalResource(key = TermHistoryResource.TERM_HISTORY, mandatory = true)
    private TermHistoryResource historyResource;

    private Optional<SubTaskObserver> taskObserver = Optional.absent();

    @Override
    public void initialize(UimaContext context) throws ResourceInitializationException {
        super.initialize(context);
        if (observerResource != null)
            taskObserver = Optional.of(observerResource.getTaskObserver(TASK_NAME));
    }

    @Override
    public void process(JCas aJCas) throws AnalysisEngineProcessException {
        /*
         * Do nothing
         */
    }

    @Override
    public void collectionProcessComplete() throws AnalysisEngineProcessException {
        logger.info("Scorying terms for TermIndex {}", this.termIndexResource.getTermIndex().getName());
        TermIndex termIndex = termIndexResource.getTermIndex();
        VariantScorerConfig defaultScorerConfig = termIndex.getLang().getScorerConfig();
        TermVariationScorer variantScorer = new TermVariationScorer(defaultScorerConfig);

        /*
         * 1- compute scores
         */
        logger.debug("Scorying");
        variantScorer.setHistory(historyResource.getHistory());
        ScoredModel scoredModel = variantScorer.score(termIndex);

        /*
         * 2- remove filtered terms
         */
        logger.debug("Selecting terms for removal");
        Set<Term> keptTerms = Sets.newHashSet();
        for (ScoredTerm st : scoredModel.getTerms())
            keptTerms.add(st.getTerm());
        Set<Term> remTerms = Sets.newHashSet();
        int size = termIndex.getTerms().size();
        for (Term t : termIndex.getTerms())
            if (!keptTerms.contains(t))
                remTerms.add(t);
        logger.debug("Removing filtered terms");
        if (taskObserver.isPresent())
            taskObserver.get().setTotalTaskWork(remTerms.size());
        for (Term t : remTerms) {
            if (taskObserver.isPresent())
                taskObserver.get().work(1);
            termIndex.removeTerm(t);
        }
        logger.debug("{} terms filtered (and removed from term index) out of {}", remTerms.size(), size);

        /*
         * 3- reset the sorted variations and unique bases
         */
        logger.debug("Resetting scored variations and unique bases");
        for (ScoredTerm st : scoredModel.getTerms()) {
            TreeSet<TermVariation> sortedVariations = Sets.newTreeSet();
            for (ScoredVariation sv : st.getVariations()) {
                TermVariation termVariation = sv.getTermVariation();

                /*
                 * Add this term variation to the variants
                 */
                termVariation.setScore(sv.getVariationScore());
                sortedVariations.add(termVariation);

                /*
                 * Set this term variation as the unique base for the variant
                 */
                TreeSet<TermVariation> base = Sets.newTreeSet();
                base.add(termVariation);
                termVariation.getVariant().setBases(base);
            }
            /*
             * Set the sorted set as the variants
             */
            st.getTerm().setVariations(sortedVariations);
        }
    }
}