Package org.apache.ode.bpel.engine.extvar

Examples of org.apache.ode.bpel.engine.extvar.ExternalVariableConf$Variable

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  public void openFile(Average avg) throws IOException, InvalidRangeException {
    long start = System.nanoTime();

    NetcdfFile ncfile = NetcdfDataset.openFile(TestAll.cdmUnitTestDir +"ft/grid/netcdf/AZ.000000000.nc", null);
    Variable v = ncfile.findVariable("qc");
    assert null != v;
    assert v.getDataType() == DataType.BYTE;

    Array data = v.read();
    assert data.getElementType() == byte.class;
    double sum = MAMath.sumDoubleSkipMissingData(data, Double.NaN);
    long end = System.nanoTime();
    double took = (double)((end - start))/1000/1000/1000;
    double perelem = (double)((end - start)) / data.getSize();
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  public void openDataset(Set<NetcdfDataset.Enhance> enhance, Average avg) throws IOException, InvalidRangeException {
    long start = System.nanoTime();

    NetcdfDataset ncd = NetcdfDataset.openDataset(TestAll.cdmUnitTestDir +"ft/grid/netcdf/AZ.000000000.nc", enhance, -1, null, null);
    Variable v = ncd.findVariable("qc");
    assert null != v;

    Array data = v.read();
    double sum = MAMath.sumDoubleSkipMissingData(data, Double.NaN);
    long end = System.nanoTime();
    double took = (double)((end - start))/1000/1000/1000;
    double perelem = (double)((end - start)) / data.getSize();
    //System.out.println(sum+" "+enhance+" took="+took+" secs; size= "+data.getSize()+"; nanosecs/elem= "+perelem);
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    String filename = "file:./" + TestNcML.topDir + "TestValuesFromAttribute.xml";

    NetcdfFile ncfile = NcMLReader.readNcML(new StringReader(ncml), filename, null);
    System.out.println(" TestNcmlAggExisting.open " + filename + "\n" + ncfile);

    Variable newVar = ncfile.findVariable("titleAsVariable");
    assert null != newVar;

    assert newVar.getShortName().equals("titleAsVariable");
    assert newVar.getRank() == 0;
    assert newVar.getSize() == 1;
    assert newVar.getDataType() == DataType.STRING;

    Array data = newVar.read();
    assert data.getElementType() == String.class;

    Object val = data.getObject(0);
    assert val instanceof String;
    assert val.equals("COADS 1-degree Equatorial Enhanced");

    ////////////////
    newVar = ncfile.findVariable("titleAsVariable2");
    assert null != newVar;

    assert newVar.getShortName().equals("titleAsVariable2");
    assert newVar.getRank() == 0;
    assert newVar.getSize() == 1;
    assert newVar.getDataType() == DataType.STRING;

    data = newVar.read();
    assert data.getElementType() == String.class;

    val = data.getObject(0);
    assert val instanceof String;
    assert val.equals("COADS 1-degree Equatorial Enhanced");

    ///////////////
    newVar = ncfile.findVariable("VariableAttribute");
    assert null != newVar;

    assert newVar.getShortName().equals("VariableAttribute");
    assert newVar.getRank() == 1;
    assert newVar.getSize() == 2;
    assert newVar.getDataType() == DataType.DOUBLE;

    data = newVar.read();
    assert data.getRank() == 1;
    assert data.getSize() == 2;
    assert data.getElementType() == double.class;

    double[] result = new double[] { 715511.0, 729360.0};
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  }

  private String convName, convUsed;

  protected String findNameVariableWithStandardNameAndDimension(NetcdfDataset ds, String standard_name, Dimension outer, Formatter errlog) {
    Variable v = findVariableWithStandardNameAndDimension(ds, standard_name, outer, errlog);
    return (v == null) ? null : v.getShortName();
  }
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    }
    return null;
  }

  protected String matchAxisTypeAndDimension(NetcdfDataset ds, AxisType type, final Dimension outer) {
    Variable var = CoordSysEvaluator.findCoordByType(ds, type, new CoordSysEvaluator.Predicate() {
      public boolean match(CoordinateAxis axis) {
        if ((outer == null) && (axis.getRank() == 0))
          return true;
        if ((outer != null) && (axis.getRank() == 1) && (outer.equals(axis.getDimension(0))))
          return true;
        return false;
      }
    });
    if (var == null) return null;
    return var.getShortName();
  }
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    if (var == null) return null;
    return var.getShortName();
  }

  protected String matchAxisTypeAndDimension(NetcdfDataset ds, AxisType type, final Dimension outer, final Dimension inner) {
    Variable var = CoordSysEvaluator.findCoordByType(ds, type, new CoordSysEvaluator.Predicate() {
      public boolean match(CoordinateAxis axis) {
        return ((axis.getRank() == 2) && outer.equals(axis.getDimension(0)) && inner.equals(axis.getDimension(1)));
      }
    });
    if (var == null) return null;
    return var.getShortName();
  }
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    if (var == null) return null;
    return var.getShortName();
  }

  protected String matchAxisTypeAndDimension(NetcdfDataset ds, AxisType type, final Dimension outer, final Dimension middle, final Dimension inner) {
    Variable var = CoordSysEvaluator.findCoordByType(ds, type, new CoordSysEvaluator.Predicate() {
      public boolean match(CoordinateAxis axis) {
        return ((axis.getRank() == 3) && outer.equals(axis.getDimension(0)) && middle.equals(axis.getDimension(1)) && inner.equals(axis.getDimension(2)));
      }
    });
    if (var == null) return null;
    return var.getShortName();
  }
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    //System.out.println(" testNestedValues=\n"+ ncml);
    NetcdfFile ncfile = NcMLReader.readNcML(new StringReader(ncml), location, null);

    TestAll.readAllData(ncfile);

     Variable v = ncfile.findVariable("time");
     Array data = v.read();
     assert data.getSize() == 20;
     NCdumpW.printArray(data);

    ncfile.close();   
  }
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   NetcdfFile ncfile = NetcdfDataset.openFile(filename, null);

   TestAll.readAllData(ncfile);

    Variable v = ncfile.findVariable("time");
    Array data = v.read();
    assert data.getSize() == 59;
    NCdumpW.printArray(data);

   ncfile.close();
}
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        Attribute attr = ds.findGlobalAttributeIgnoreCase("Elevation");
        if( attr != null )
            ele = attr.getNumericValue().doubleValue();

        // ncml agg add this sweep variable as agg dimension
        Variable sp = ds.findVariable("sweep");

        if(sp ==  null) {
            // add Elevation
            ds.addDimension( null, new Dimension("Elevation", 1 , true));
            String lName = "elevation angle in degres: 0 = parallel to pedestal base, 90 = perpendicular";
            CoordinateAxis v = new CoordinateAxis1D(ds, null, "Elevation", DataType.DOUBLE, "Elevation", "degrees", lName);
            ds.setValues(v, 1, ele, 0);
            v.addAttribute(new Attribute(_Coordinate.AxisType, AxisType.RadialElevation.toString()));
            ds.addVariable(null, v);

        }
        else {
            Array spdata = sp.read();
            float [] spd = (float [])spdata.get1DJavaArray(float.class);
            int spsize = spd.length;

            // add Elevation
            ds.addDimension( null, new Dimension("Elevation", spsize , true));
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