/*
* Copyright 1998-2009 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;
import ucar.nc2.dataset.NetcdfDataset;
import ucar.nc2.dataset.CoordinateSystem;
import ucar.nc2.dataset.CoordinateAxis;
import ucar.nc2.constants.AxisType;
import ucar.nc2.Dimension;
import ucar.nc2.Variable;
import ucar.ma2.DataType;
import java.util.List;
/**
* CoordinateSystem Evaluation utilities.
*
* @author caron
* @since Dec 16, 2008
*/
public class CoordSysEvaluator {
/**
* Look for Axis by Type, assign to TableConfig if found.
* Looks for Lat, Lon, Time, Height.
* @param nt assign coordinates to this table.
* @param ds look in this dataset's "Best" coordinate system. If no CoordSystem, try list of coordinate axes
*/
static public void findCoords(TableConfig nt, NetcdfDataset ds) {
CoordinateSystem use = findBestCoordinateSystem(ds);
if (use == null)
findCoords(nt, ds.getCoordinateAxes());
else
findCoords(nt, use.getCoordinateAxes());
}
static public void findCoords(TableConfig nt, List<CoordinateAxis> axes) {
for (CoordinateAxis axis : axes) {
if (axis.getAxisType() == AxisType.Lat)
nt.lat = axis.getShortName();
else if (axis.getAxisType() == AxisType.Lon)
nt.lon = axis.getShortName();
else if (axis.getAxisType() == AxisType.Time)
nt.time = axis.getShortName();
else if (axis.getAxisType() == AxisType.Height)
nt.elev = axis.getShortName();
}
}
static public void findCoordWithDimension(TableConfig nt, NetcdfDataset ds, Dimension outer) {
CoordinateSystem use = findBestCoordinateSystem(ds);
if (use == null) return;
for (CoordinateAxis axis : use.getCoordinateAxes()) {
if (!outer.equals(axis.getDimension(0))) continue;
if (axis.getAxisType() == AxisType.Lat)
nt.lat = axis.getShortName();
else if (axis.getAxisType() == AxisType.Lon)
nt.lon = axis.getShortName();
else if (axis.getAxisType() == AxisType.Time)
nt.time = axis.getShortName();
else if (axis.getAxisType() == AxisType.Height)
nt.elev = axis.getShortName();
}
}
/**
* Look for Axis by Type.
* @param ds look in this dataset's "Best" coordinate system.
* @param atype look for this type of CoordinateAxis. takes the first one it finds.
* @return the found CoordinateAxis name, or null if none
*/
static public String findCoordNameByType(NetcdfDataset ds, AxisType atype) {
CoordinateAxis coordAxis = findCoordByType(ds, atype);
return coordAxis == null ? null : coordAxis.getFullName();
}
static public String findCoordShortNameByType(NetcdfDataset ds, AxisType atype) {
CoordinateAxis coordAxis = findCoordByType(ds, atype);
return coordAxis == null ? null : coordAxis.getShortName();
}
/**
* Look for Axis by Type.
* @param ds look in this dataset's "Best" coordinate system.
* @param atype look for this type of CoordinateAxis. takes the first one it finds.
* @return the found CoordinateAxis, or null if none
*/
static public CoordinateAxis findCoordByType(NetcdfDataset ds, AxisType atype) {
CoordinateSystem use = findBestCoordinateSystem(ds);
if (use != null) {
for (CoordinateAxis axis : use.getCoordinateAxes()) {
if (axis.getAxisType() == atype)
return axis;
}
}
// try all the axes
for (CoordinateAxis axis : ds.getCoordinateAxes()) {
if (axis.getAxisType() == atype)
return axis;
}
return null;
}
static public interface Predicate {
boolean match(CoordinateAxis axis);
}
/**
* Look for Axis by Type and test against a predicate
* @param ds look in this dataset's "Best" coordinate system.
* @param atype look for this type of CoordinateAxis.
* @param p match this predicate
* @return the found CoordinateAxis, or null if none
*/
static public CoordinateAxis findCoordByType(NetcdfDataset ds, AxisType atype, Predicate p) {
CoordinateSystem use = findBestCoordinateSystem(ds);
if (use == null) return null;
// try the "best" cs
for (CoordinateAxis axis : use.getCoordinateAxes()) {
if (axis.getAxisType() == atype)
if (p.match(axis)) return axis;
}
// try all the axes
for (CoordinateAxis axis : ds.getCoordinateAxes()) {
if (axis.getAxisType() == atype)
if (p.match(axis)) return axis;
}
return null;
}
/**
* Look for Axis by Type.
* @param ds look in this dataset's "Best" coordinate system.
* @param atype look for this type of CoordinateAxis. takes the first one it finds.
* @return the found CoordinateAxis' first Dimension, or null if none or scalar
*/
static public Dimension findDimensionByType(NetcdfDataset ds, AxisType atype) {
CoordinateAxis axis = findCoordByType(ds, atype);
if (axis == null) return null;
if (axis.isScalar()) return null;
return axis.getDimension(0);
}
/**
* Dind the CoordinateSystem with the most number of CoordinateAxes
* @param ds look in this dataset
* @return CoordinateSystem or null if none
*/
static private CoordinateSystem findBestCoordinateSystem(NetcdfDataset ds) {
// find coordinate system with highest rank (largest number of axes)
CoordinateSystem use = null;
for (CoordinateSystem cs : ds.getCoordinateSystems()) {
if (use == null) use = cs;
else if (cs.getCoordinateAxes().size() > use.getCoordinateAxes().size())
use = cs;
}
return use;
}
}