コード例 #1
0
  /**
   * 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();
      }
    }
  }
コード例 #2
0
/**
 * 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);
  }
}