/**
* Wrap the given Variable, making it into a VariableDS. Delegate data reading to the original
* variable. Take all metadata from original variable. Does not share cache, iosp.
*
* @param g logical container, if null use orgVar's group
* @param orgVar the original Variable to wrap. The original Variable is not modified. Must not be
* a Structure, use StructureDS instead.
* @param enhance if true, use NetcdfDataset.defaultEnhanceMode to define what enhancements are
* made. Note that this can change DataType and data values. You can also call enhance()
* later. If orgVar is VariableDS, then enhance is inherited from there, and this parameter is
* ignored.
*/
public VariableDS(Group g, Variable orgVar, boolean enhance) {
super(orgVar);
if (g != null)
this.group =
g; // otherwise super() sets group; this affects the long name and the dimensions.
setDimensions(getDimensionsString()); // reset the dimensions
if (orgVar instanceof Structure)
throw new IllegalArgumentException(
"VariableDS must not wrap a Structure; name=" + orgVar.getName());
// dont share cache, iosp : all IO is delegated
this.ncfile = null;
this.spiObject = null;
createNewCache();
this.orgVar = orgVar;
this.orgDataType = orgVar.getDataType();
if (orgVar instanceof VariableDS) {
VariableDS ncVarDS = (VariableDS) orgVar;
this.enhanceProxy = ncVarDS.enhanceProxy;
this.scaleMissingProxy = ncVarDS.scaleMissingProxy;
this.enhanceMode = ncVarDS.enhanceMode;
} else {
this.enhanceProxy = new EnhancementsImpl(this);
if (enhance) {
enhance(NetcdfDataset.getDefaultEnhanceMode());
} else {
this.scaleMissingProxy = new EnhanceScaleMissingImpl();
}
}
}
/**
* Implement NcML Forecast Model Run Collection Aggregation with files that are complete runs (have
* all forecast times in the same file)
*
* @author caron
*/
public class AggregationFmrc extends AggregationOuterDimension {
protected static Set<NetcdfDataset.Enhance> fmrcEnhanceMode =
NetcdfDataset.getDefaultEnhanceMode();
private Fmrc fmrc;
private String runMatcher; // , forecastMatcher, offsetMatcher; // scanFmrc
public AggregationFmrc(NetcdfDataset ncd, String dimName, String recheckS) {
super(ncd, dimName, Type.forecastModelRunCollection, recheckS);
}
public void addDirectoryScanFmrc(
String dirName,
String suffix,
String regexpPatternString,
String subdirs,
String olderThan,
String runMatcher,
String forecastMatcher,
String offsetMatcher)
throws IOException {
// only one
this.runMatcher = runMatcher;
// this.forecastMatcher = forecastMatcher;
// this.offsetMatcher = offsetMatcher;
// this.enhance = NetcdfDataset.getDefaultEnhanceMode();
isDate = true;
// DatasetScanner d = new DatasetScanner(null, dirName, suffix, regexpPatternString, subdirs,
// olderThan);
// datasetManager.addDirectoryScan(d);
datasetManager.addDirectoryScan(dirName, suffix, regexpPatternString, subdirs, olderThan, null);
if (runMatcher != null) {
DateExtractor dateExtractor = new DateExtractorFromName(runMatcher, false);
datasetManager.setDateExtractor(dateExtractor);
}
}
@Override
protected void makeDatasets(CancelTask cancelTask) throws IOException {
super.makeDatasets(cancelTask);
for (Dataset ds : datasets) ds.enhance = fmrcEnhanceMode;
}
@Override
public void getDetailInfo(Formatter f) {
super.getDetailInfo(f);
if (runMatcher != null) f.format(" runMatcher=%s%n", runMatcher);
/* if (forecastMatcher != null)
f.format(" forecastMatcher=%s%n", forecastMatcher);
if (offsetMatcher != null)
f.format(" offsetMatcher=%s%n", offsetMatcher); */
}
@Override
protected void buildNetcdfDataset(CancelTask cancelTask) throws IOException {
DateExtractor dateExtractor = null;
if (runMatcher != null)
dateExtractor = new DateExtractorFromName(runMatcher, false); // uses path
if (dateExtractor == null && dateFormatMark != null)
dateExtractor = new DateExtractorFromName(dateFormatMark, true);
fmrc = new Fmrc(datasetManager, new FeatureCollectionConfig());
// fill in the ncDataset
fmrc.getDataset2D(ncDataset);
}
// we assume the variables are complete, but the time dimensions and values have to be recomputed
@Override
protected void rebuildDataset() throws IOException {
throw new UnsupportedOperationException();
// ncDataset.empty();
// fmrc.getDataset2D(false, true, ncDataset);
}
}
