view artifacts/src/main/java/org/dive4elements/river/artifacts/model/HistoricalDischargeWQFacet.java @ 7471:fff862f4ef76

Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time. Hopefully this improves the overall speed of loading data from the datacage.
author Sascha L. Teichmann <teichmann@intevation.de>
date Wed, 30 Oct 2013 15:26:21 +0100
parents af13ceeba52a
children 47e96ce9bd79
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/* Copyright (C) 2011, 2012, 2013 by Bundesanstalt für Gewässerkunde
 * Software engineering by Intevation GmbH
 *
 * This file is Free Software under the GNU AGPL (>=v3)
 * and comes with ABSOLUTELY NO WARRANTY! Check out the
 * documentation coming with Dive4Elements River for details.
 */

package org.dive4elements.river.artifacts.model;

import org.dive4elements.artifactdatabase.state.Facet;
import org.dive4elements.artifacts.Artifact;
import org.dive4elements.artifacts.CallContext;
import org.dive4elements.river.artifacts.states.DefaultState.ComputeType;


/**
 * @author <a href="mailto:ingo.weinzierl@intevation.de">Ingo Weinzierl</a>
 */
public class HistoricalDischargeWQFacet extends DataFacet {

    private double value;

    public HistoricalDischargeWQFacet() {
    }

    public HistoricalDischargeWQFacet(int index, String name,
        String description, ComputeType type, String hash, String stateId,
        double value) {

        super(index, name, description, type, hash, stateId);
        this.value = value;
    }

    @Override
    public Facet deepCopy() {
        HistoricalDischargeWQFacet copy = new HistoricalDischargeWQFacet();
        copy.set(this);
        copy.value = value;
        return copy;
    }

    @Override
    public Object getData(Artifact artifact, CallContext context) {
        return value;
    }
}
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