view artifacts/src/main/java/org/dive4elements/river/artifacts/model/FlowVelocityFilterFacet.java @ 6152:0587819960c3

Waterlevel differences & bed height differences: Add new model LinearInterpolated intented to unify the two very similiar calculations. The focus of the current implementation is correctness and not speed! The fact that the data sets more mostly sorted by station is not exploited. Doing so would improve performance significantly.
author Sascha L. Teichmann <teichmann@intevation.de>
date Sun, 02 Jun 2013 17:52:53 +0200
parents af13ceeba52a
children a56fe3bc6700
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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.D4EArtifact;

import org.dive4elements.river.artifacts.access.RiverAccess;
import org.dive4elements.river.artifacts.context.RiverContext;

import org.dive4elements.river.artifacts.math.MovingAverage;
import org.dive4elements.river.artifacts.states.DefaultState.ComputeType;

import org.apache.log4j.Logger;

/**
 * Facet of a FlowVelocity curve.
 */
public class FlowVelocityFilterFacet extends DataFacet {

    private static Logger logger = Logger.getLogger(FlowVelocityFilterFacet.class);

    public FlowVelocityFilterFacet() {
        // required for clone operation deepCopy()
    }


    public FlowVelocityFilterFacet(
        int         idx,
        String      name,
        String      description,
        ComputeType type,
        String      stateId,
        String      hash
    ) {
        super(idx, name, description, type, hash, stateId);
    }


    public Object getData(Artifact artifact, CallContext context) {
        logger.debug("Get data for flow velocity at index: " + index);

        Double start = (Double)context.getContextValue("startkm");
        Double end = (Double)context.getContextValue("endkm");
        D4EArtifact flys = (D4EArtifact) artifact;

        CalculationResult res = (CalculationResult)
            flys.compute(context, hash, stateId, type, false);

        FlowVelocityData[] data = (FlowVelocityData[]) res.getData();
        if(start != null && end != null) {
            RiverContext fc = (RiverContext)context.globalContext();
            ZoomScale scales = (ZoomScale)fc.get("zoomscale");
            RiverAccess access = new RiverAccess((D4EArtifact)artifact);
            String river = access.getRiver();

            double radius = scales.getRadius(river, start, end);
            FlowVelocityData oldData = data[index];
            FlowVelocityData newData = new FlowVelocityData();
            double[][] q = oldData.getQPoints();
            double[][] totalV = MovingAverage.weighted(oldData.getTotalChannelPoints(), radius);
            double[][] mainV = MovingAverage.weighted(oldData.getMainChannelPoints(), radius);
            double[][] tau = MovingAverage.weighted(oldData.getTauPoints(), radius);
            for(int j = 0; j < q[0].length; j++) {
                newData.addKM(q[0][j]);
                newData.addQ(q[1][j]);
                newData.addTauMain(tau[1][j]);
                newData.addVMain(mainV[1][j]);
                newData.addVTotal(totalV[1][j]);
            }
            return newData;
        }
        return data[index];
    }


    /** Copy deeply. */
    @Override
    public Facet deepCopy() {
        FlowVelocityFilterFacet copy = new FlowVelocityFilterFacet();
        copy.set(this);
        copy.type    = type;
        copy.hash    = hash;
        copy.stateId = stateId;
        return copy;
    }
}
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