Mercurial > dive4elements > river
view artifacts/src/main/java/org/dive4elements/river/artifacts/model/minfo/BedDiffFilterFacet.java @ 8587:07c9ac22f611
(issue1755) Generalise BedQuality result handling
The bedquality calculation now produces a result for each time period
which has BedQualityResultValues for each specific result type.
Formally this was split up in density, porosity and diameter classes
with some bedload diameter classes mixed in for extra fun.
The intent of this commit is to allow more shared code and generic
access patterns to the BedQuality results.
author | Andre Heinecke <andre.heinecke@intevation.de> |
---|---|
date | Wed, 18 Mar 2015 18:42:08 +0100 |
parents | e4606eae8ea5 |
children | afa2096a1f15 |
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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.minfo; import org.apache.log4j.Logger; 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.model.CalculationResult; import org.dive4elements.river.artifacts.model.DataFacet; import org.dive4elements.river.artifacts.math.MovingAverage; import org.dive4elements.river.artifacts.model.ZoomScale; import org.dive4elements.river.artifacts.resources.Resources; import org.dive4elements.river.artifacts.states.DefaultState.ComputeType; public class BedDiffFilterFacet extends DataFacet { private static Logger log = Logger.getLogger(BedDiffFilterFacet.class); public BedDiffFilterFacet() { } public BedDiffFilterFacet(int idx, String name, String description, ComputeType type, String stateId, String hash) { super(idx, name, description, type, hash, stateId); this.metaData.put("X", "chart.longitudinal.section.xaxis.label"); this.metaData.put("Y", "chart.beddifference.yaxis.label.diff"); } public Object getData(Artifact artifact, CallContext context) { log.debug("Get data for bed density at index: " + index); D4EArtifact flys = (D4EArtifact) artifact; CalculationResult res = (CalculationResult) flys.compute(context, hash, stateId, type, false); BedDiffYearResult[] data = (BedDiffYearResult[]) res.getData(); // TODO CAST TO SPECIFIC CLASS Double start = (Double)context.getContextValue("startkm"); Double end = (Double)context.getContextValue("endkm"); if(start != null && end != null) { RiverContext fc = (RiverContext)context.globalContext(); // Adaptive smoothing, based on zoom factor/diagram extents. ZoomScale scales = (ZoomScale)fc.get("zoomscale"); RiverAccess access = new RiverAccess((D4EArtifact)artifact); String river = access.getRiverName(); double radius = scales.getRadius(river, start, end); BedDiffYearResult oldData = data[index]; double[][] diffs = MovingAverage.weighted(oldData.getDifferencesData(), radius); this.metaData.put( Resources.getMsg(context.getMeta(), "chart.subtitle.radius", new Object[] { radius }), ""); return diffs; } return null; } /** Copy deeply. */ @Override public Facet deepCopy() { BedDiffFilterFacet copy = new BedDiffFilterFacet(); copy.set(this); copy.type = type; copy.hash = hash; copy.stateId = stateId; return copy; } } // vim:set ts=4 sw=4 si et sta sts=4 fenc=utf8 :