/* * Copyright 1998-2014 University Corporation for Atmospheric Research/Unidata * * Portions of this software were developed by the Unidata Program at the * University Corporation for Atmospheric Research. * * Access and use of this software shall impose the following obligations * and understandings on the user. The user is granted the right, without * any fee or cost, to use, copy, modify, alter, enhance and distribute * this software, and any derivative works thereof, and its supporting * documentation for any purpose whatsoever, provided that this entire * notice appears in all copies of the software, derivative works and * supporting documentation. Further, UCAR requests that the user credit * UCAR/Unidata in any publications that result from the use of this * software or in any product that includes this software. The names UCAR * and/or Unidata, however, may not be used in any advertising or publicity * to endorse or promote any products or commercial entity unless specific * written permission is obtained from UCAR/Unidata. The user also * understands that UCAR/Unidata is not obligated to provide the user with * any support, consulting, training or assistance of any kind with regard * to the use, operation and performance of this software nor to provide * the user with any updates, revisions, new versions or "bug fixes." * * THIS SOFTWARE IS PROVIDED BY UCAR/UNIDATA "AS IS" AND ANY EXPRESS OR * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE * DISCLAIMED. IN NO EVENT SHALL UCAR/UNIDATA BE LIABLE FOR ANY SPECIAL, * INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING * FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, * NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION * WITH THE ACCESS, USE OR PERFORMANCE OF THIS SOFTWARE. */ package ucar.nc2.ft.point.standard.plug; import ucar.nc2.dataset.NetcdfDataset; import ucar.nc2.ft.point.standard.*; import ucar.nc2.constants.FeatureType; import ucar.nc2.Variable; import ucar.nc2.Structure; import ucar.nc2.Dimension; import ucar.ma2.DataType; import java.util.Formatter; import java.util.List; import java.util.ArrayList; import java.io.IOException; /** * FLS Wind profile data * @author caron * @since Apr 23, 2008 */ public class FslWindProfiler extends TableConfigurerImpl { // :title = "WPDN data : selected by ob time : time range from 1207951200 to 1207954800"; public boolean isMine(FeatureType wantFeatureType, NetcdfDataset ds) { String title = ds.findAttValueIgnoreCase(null, "title", null); if (title == null) { title = ds.findAttValueIgnoreCase(null, "DD_reference", null); if(title != null) { title = ds.findVariable("staLat") != null ? title : null; } } return title != null && (title.startsWith("WPDN data") || title.startsWith("RASS data") || title.contains("88-21-R2")); } public TableConfig getConfig(FeatureType wantFeatureType, NetcdfDataset ds, Formatter errlog) throws IOException { String title = ds.findAttValueIgnoreCase(null, "title", null); if (title == null) title = ds.findAttValueIgnoreCase(null, "DD_reference", null); assert (title != null); boolean isRass = title.startsWith("RASS data"); String xml = isRass ? "resources/nj22/pointConfig/FslRassProfiler.xml" : "resources/nj22/pointConfig/FslWindProfiler.xml"; PointConfigXML reader = new PointConfigXML(); TableConfig tc = reader.readConfigXMLfromResource(xml, wantFeatureType, ds, errlog); for (TableConfig inner : tc.children.get(0).children) makeMultidimInner(ds, tc, inner, inner.outerName, inner.innerName); return tc; } private void makeMultidimInner(NetcdfDataset ds, TableConfig parentTable, TableConfig childTable, String outerDin, String innerDim) { Dimension parentDim = ds.findDimension(outerDin); Dimension childDim = ds.findDimension(innerDim); // divide up the variables between the parent and the child List<String> obsVars; List<Variable> vars = ds.getVariables(); List<String> parentVars = new ArrayList<>(vars.size()); obsVars = new ArrayList<>(vars.size()); for (Variable orgV : vars) { if (orgV instanceof Structure) continue; Dimension dim0 = orgV.getDimension(0); if ((dim0 != null) && dim0.equals(parentDim)) { if ((orgV.getRank() == 1) || ((orgV.getRank() == 2) && orgV.getDataType() == DataType.CHAR)) { parentVars.add(orgV.getShortName()); } else { Dimension dim1 = orgV.getDimension(1); if ((dim1 != null) && dim1.equals(childDim)) obsVars.add(orgV.getShortName()); } } } parentTable.vars = parentVars; childTable.vars = obsVars; } /* public TableConfig getConfig(FeatureType wantFeatureType, NetcdfDataset ds, Formatter errlog) { //TableConfig nt = new TableConfig(Table.Type.Singleton, "station"); TableConfig profile = new TableConfig(Table.Type.Structure, "record"); profile.structName = "record"; profile.dimName = Evaluator.getDimensionName(ds, "recNum", errlog); profile.time = Evaluator.getVariableName(ds, "timeObs", errlog); profile.stnId = Evaluator.getVariableName(ds, "staName", errlog); profile.stnWmoId = Evaluator.getVariableName(ds, "wmoStaNum", errlog); profile.lat = Evaluator.getVariableName(ds, "staLat", errlog); profile.lon = Evaluator.getVariableName(ds, "staLon", errlog); // profile.elev = Evaluator.getVariableName(ds, "staElev", errlog); //profile.join = new TableConfig.JoinConfig(Join.Type.Identity); profile.featureType = FeatureType.PROFILE; // nt.addChild(profile); TableConfig levels = new TableConfig(Table.Type.MultidimInner, "levels"); levels.outerName = profile.dimName; levels.innerName = Evaluator.getDimensionName(ds, "level", errlog); levels.elev = Evaluator.getVariableName(ds, "level", errlog); profile.addChild(levels); Dimension outer = Evaluator.getDimension(ds, "recNum", errlog); Dimension inner = Evaluator.getDimension(ds, "level", errlog); // divide up the variables between the parent and the obs List<String> obsVars = null; List<Variable> vars = ds.getVariables(); List<String> parentVars = new ArrayList<String>(vars.size()); obsVars = new ArrayList<String>(vars.size()); for (Variable orgV : vars) { if (orgV instanceof Structure) continue; Dimension dim0 = orgV.getDimension(0); if ((dim0 != null) && dim0.equals(outer)) { if ((orgV.getRank() == 1) || ((orgV.getRank() == 2) && orgV.getDataType() == DataType.CHAR)) { parentVars.add(orgV.getShortName()); } else { Dimension dim1 = orgV.getDimension(1); if ((dim1 != null) && dim1.equals(inner)) obsVars.add(orgV.getShortName()); } } } profile.vars = parentVars; levels.vars = obsVars; return profile; } */ }