/* * 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.ft.point.standard.*; import ucar.nc2.dataset.NetcdfDataset; import ucar.nc2.Dimension; import ucar.nc2.constants.FeatureType; import java.util.Formatter; /** * Madis Convention * @author caron * @since Apr 23, 2008 */ public class Madis extends TableConfigurerImpl { public boolean isMine(FeatureType wantFeatureType, NetcdfDataset ds) { if ((wantFeatureType != FeatureType.ANY_POINT) && (wantFeatureType != FeatureType.STATION) && (wantFeatureType != FeatureType.POINT) && (wantFeatureType != FeatureType.STATION_PROFILE)) return false; if (!ds.hasUnlimitedDimension()) return false; if (ds.findDimension("recNum") == null) return false; if (ds.findVariable("staticIds") == null) return false; if (ds.findVariable("nStaticIds") == null) return false; if (ds.findVariable("lastRecord") == null) return false; if (ds.findVariable("prevRecord") == null) return false; VNames vn = getVariableNames(ds, null); if (ds.findVariable(vn.lat) == null) return false; if (ds.findVariable(vn.lon) == null) return false; if (ds.findVariable(vn.obsTime) == null) return false; return true; } /* <!-- C:/data/dt2/station/madis2.sao --> <stationCollection> <table dim="maxStaticIds" limit="nStaticIds"> <lastLink>lastRecord</lastLink> <table dim="recNum"> <stationId>:stationIdVariable</stationId> <stationWmoId>wmoId</stationWmoId> <coordAxis type="time">timeObs</coordAxis> <coordAxis type="lat">latitude</coordAxis> <coordAxis type="lon">longitude</coordAxis> <coordAxis type="height">elevation</coordAxis> <prevLink>prevRecord</prevLink> </table> </table> <cdmDataType>:thredds_data_type</cdmDataType> </stationCollection> */ public TableConfig getConfig(FeatureType wantFeatureType, NetcdfDataset ds, Formatter errlog) { Dimension obsDim = Evaluator.getDimension(ds, "recNum", errlog); if (obsDim == null) { errlog.format("MADIS: must have an Observation dimension: named recNum"); return null; } VNames vn = getVariableNames(ds, errlog); String levVarName = null; String levDimName = null; boolean hasStruct = Evaluator.hasNetcdf3RecordStructure(ds); FeatureType ft = Evaluator.getFeatureType(ds, ":thredds_data_type", errlog); if (null == ft) { if ((ds.findDimension("manLevel") != null) && (ds.findVariable("prMan") != null)) { ft = FeatureType.STATION_PROFILE; levVarName = "prMan"; levDimName = "manLevel"; } else if ((ds.findDimension("level") != null) && (ds.findVariable("levels") != null)) { ft = FeatureType.STATION_PROFILE; levVarName = "levels"; levDimName = "level"; } } if (null == ft) ft = FeatureType.POINT; // points if ((wantFeatureType == FeatureType.POINT) || (ft == FeatureType.POINT)) { TableConfig ptTable = new TableConfig(Table.Type.Structure, hasStruct ? "record" : obsDim.getShortName() ); ptTable.structName = "record"; ptTable.featureType = FeatureType.POINT; ptTable.structureType = hasStruct ? TableConfig.StructureType.Structure : TableConfig.StructureType.PsuedoStructure; ptTable.dimName = obsDim.getShortName(); ptTable.time = vn.obsTime; ptTable.timeNominal = vn.nominalTime; ptTable.lat = vn.lat; ptTable.lon = vn.lon; ptTable.elev = vn.elev; return ptTable; } if (ft == FeatureType.STATION) { TableConfig stnTable = new TableConfig(Table.Type.Construct, "station"); stnTable.featureType = FeatureType.STATION; TableConfig obs = new TableConfig(Table.Type.ParentId, "record"); obs.parentIndex = vn.stnId; obs.dimName = Evaluator.getDimensionName(ds, "recNum", errlog); obs.time = vn.obsTime; obs.timeNominal = vn.nominalTime; obs.stnId = vn.stnId; obs.stnDesc = vn.stnDesc; obs.lat = vn.lat; obs.lon = vn.lon; obs.elev = vn.elev; stnTable.addChild(obs); return stnTable; } else if (ft == FeatureType.STATION_PROFILE) { TableConfig stnTable = new TableConfig(Table.Type.Construct, "station"); stnTable.featureType = FeatureType.STATION_PROFILE; TableConfig obs = new TableConfig(Table.Type.ParentId, "record"); obs.parentIndex = vn.stnId; obs.dimName = Evaluator.getDimensionName(ds, "recNum", errlog); obs.time = vn.obsTime; obs.timeNominal = vn.nominalTime; obs.stnId = vn.stnId; obs.stnDesc = vn.stnDesc; obs.lat = vn.lat; obs.lon = vn.lon; obs.stnAlt = vn.elev; stnTable.addChild(obs); TableConfig lev = new TableConfig(Table.Type.MultidimInner, "mandatory"); lev.elev = levVarName; lev.outerName = obs.dimName; lev.innerName = levDimName; obs.addChild(lev); return stnTable; } return null; } protected static class VNames { String lat, lon, elev, obsTime, nominalTime; String stnId, stnDesc; } protected VNames getVariableNames(NetcdfDataset ds, Formatter errlog) { VNames vn = new VNames(); String val = ds.findAttValueIgnoreCase(null, "stationLocationVariables", null); if (val == null) val = ds.findAttValueIgnoreCase(null, "latLonVars", null); if (val == null) { if (errlog != null) errlog.format(" Cant find global attribute stationLocationVariables%n"); vn.lat = "latitude"; vn.lon = "longitude"; } else { String[] vals = val.split(","); if (vals.length > 0) vn.lat = vals[0]; if (vals.length > 1) vn.lon = vals[1]; if (vals.length > 2) vn.elev = vals[2]; } val = ds.findAttValueIgnoreCase(null, "timeVariables", null); if (val == null) { if (errlog != null) errlog.format(" Cant find global attribute timeVariables%n"); vn.obsTime = "observationTime"; vn.nominalTime = "reportTime"; } else { String[] vals = val.split(","); if (vals.length > 0) vn.obsTime = vals[0]; if (vals.length > 1) vn.nominalTime = vals[1]; } val = ds.findAttValueIgnoreCase(null, "stationDescriptionVariable", null); if (val == null) { if (errlog != null) errlog.format(" Cant find global attribute stationDescriptionVariable%n"); vn.stnDesc = "stationName"; } else { vn.stnDesc = val; } val = ds.findAttValueIgnoreCase(null, "stationIdVariable", null); if (val == null) val = ds.findAttValueIgnoreCase(null, "idVariables", null); if (val == null) { if (errlog != null) errlog.format(" Cant find global attribute stationIdVariable%n"); vn.stnId = "stationId"; } else { vn.stnId = val; } if (null != ds.findVariable("altitude")) vn.elev = "altitude"; else if (null != ds.findVariable("elevation")) vn.elev = "elevation"; return vn; } }