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The NetCDF-Java Library is a Java interface to NetCDF files,
as well as to many other types of scientific data formats.
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/*
* Copyright (c) 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.collection;
import com.google.common.base.Preconditions;
import thredds.inventory.TimedCollection;
import ucar.ma2.StructureData;
import ucar.nc2.Attribute;
import ucar.nc2.VariableSimpleIF;
import ucar.nc2.constants.FeatureType;
import ucar.nc2.ft.*;
import ucar.nc2.ft.point.*;
import ucar.nc2.time.CalendarDateRange;
import ucar.nc2.units.DateRange;
import ucar.nc2.units.DateUnit;
import ucar.unidata.geoloc.LatLonRect;
import ucar.unidata.geoloc.Station;
import java.io.IOException;
import java.util.Formatter;
import java.util.Iterator;
import java.util.List;
/**
* StationTimeSeries composed of a collection of individual StationTimeSeries. "Composite" pattern.
*
* @author caron
* @since May 19, 2009
*/
public class CompositeStationCollection extends StationTimeSeriesCollectionImpl implements UpdateableCollection {
private TimedCollection dataCollection;
protected List dataVariables;
protected List globalAttributes;
protected CompositeStationCollection(
String name, DateUnit timeUnit, String altUnits, TimedCollection dataCollection) throws IOException {
super(name, timeUnit, altUnits);
this.dataCollection = dataCollection;
TimedCollection.Dataset td = dataCollection.getPrototype();
if (td == null)
throw new RuntimeException("No datasets in the collection");
}
@Override
protected StationHelper createStationHelper() throws IOException {
TimedCollection.Dataset td = dataCollection.getPrototype();
if (td == null)
throw new RuntimeException("No datasets in the collection");
Formatter errlog = new Formatter();
try (FeatureDatasetPoint openDataset = (FeatureDatasetPoint) FeatureDatasetFactoryManager.open(
FeatureType.STATION, td.getLocation(), null, errlog)) {
StationHelper stationHelper = new StationHelper();
List fcList = openDataset.getPointFeatureCollectionList();
StationTimeSeriesCollectionImpl openCollection = (StationTimeSeriesCollectionImpl) fcList.get(0);
List stns = openCollection.getStations();
for (Station s : stns) {
StationTimeSeriesFeature stnFeature = openCollection.getStationFeature(s);
stationHelper.addStation(new CompositeStationFeature(s, timeUnit, altUnits, stnFeature.getFeatureData(), this.dataCollection));
}
dataVariables = openDataset.getDataVariables();
globalAttributes = openDataset.getGlobalAttributes();
return stationHelper;
}
}
public List getDataVariables() {
getStationHelper(); // dataVariables gets initialized when stationHelper does. Bit of a kludge.
return dataVariables;
}
public List getGlobalAttributes() {
getStationHelper(); // globalAttributes gets initialized when stationHelper does. Bit of a kludge.
return globalAttributes;
}
@Override
public void update() throws IOException {
dataCollection.update();
}
// Must override default subsetting implementation for efficiency
// StationTimeSeriesFeatureCollection
@Override
public StationTimeSeriesFeatureCollection subset(List stations) throws IOException {
if (stations == null) {
return this;
} else {
List subset = getStationHelper().getStationFeatures(stations);
return new CompositeStationCollectionSubset(this, subset);
}
}
@Override
public StationTimeSeriesFeatureCollection subset(ucar.unidata.geoloc.LatLonRect boundingBox) throws IOException {
if (boundingBox == null) {
return this;
} else {
List subset = getStationHelper().getStationFeatures(boundingBox);
return new CompositeStationCollectionSubset(this, subset);
}
}
@Override
public StationTimeSeriesFeature getStationFeature(Station s) throws IOException {
StationFeature stnFeature = getStationHelper().getStationFeature(s);
return new CompositeStationFeature(stnFeature, timeUnit, altUnits, stnFeature.getFeatureData(), dataCollection);
}
@Override
public PointFeatureCollection flatten(LatLonRect boundingBox, CalendarDateRange dateRange) throws IOException {
TimedCollection subsetCollection = (dateRange != null) ? dataCollection.subset(dateRange) : dataCollection;
return new CompositeStationCollectionFlattened(getName(), getTimeUnit(), getAltUnits(), boundingBox, dateRange, subsetCollection);
//return flatten(stationHelper.getStations(boundingBox), dateRange, null);
}
@Override
public PointFeatureCollection flatten(List stations, CalendarDateRange dateRange, List varList) throws IOException {
TimedCollection subsetCollection = (dateRange != null) ? dataCollection.subset(dateRange) : dataCollection;
return new CompositeStationCollectionFlattened(getName(), getTimeUnit(), getAltUnits(), stations, dateRange, varList, subsetCollection);
}
private static class CompositeStationCollectionSubset extends CompositeStationCollection {
private final CompositeStationCollection from;
private final List stationFeats;
private CompositeStationCollectionSubset(CompositeStationCollection from, List stationFeats)
throws IOException {
super(from.getName(), from.getTimeUnit(), from.getAltUnits(), from.dataCollection);
this.from = Preconditions.checkNotNull(from, "from == null");
Preconditions.checkArgument(stationFeats != null && !stationFeats.isEmpty(),
"stationFeats == null || stationFeats.isEmpty(): %s", stationFeats);
this.stationFeats = stationFeats;
}
@Override
protected StationHelper createStationHelper() throws IOException {
StationHelper stationHelper = new StationHelper();
for (StationFeature stationFeat : this.stationFeats) {
stationHelper.addStation(new CompositeStationFeature(
stationFeat, timeUnit, altUnits, stationFeat.getFeatureData(), from.dataCollection));
}
return stationHelper;
}
}
//////////////////////////////////////////////////////////
// the iterator over StationTimeSeriesFeature objects
// problematic - since each station will independently iterate over the datasets.
// betterto use the flatten() method, then reconstitute the station with getStation(pointFeature)
@Override
public PointFeatureCollectionIterator getPointFeatureCollectionIterator(int bufferSize) throws IOException {
// an anonymous class iterating over the stations
return new PointFeatureCollectionIterator() {
Iterator stationIter = getStationHelper().getStations().iterator();
@Override
public boolean hasNext() throws IOException {
return stationIter.hasNext();
}
@Override
public PointFeatureCollection next() throws IOException {
return (PointFeatureCollection) stationIter.next();
}
@Override
public void setBufferSize(int bytes) {
}
@Override
public void finish() {
}
};
}
// the StationTimeSeriesFeature
private class CompositeStationFeature extends StationTimeSeriesFeatureImpl {
private TimedCollection collForFeature;
private StructureData sdata;
CompositeStationFeature(Station s, DateUnit timeUnit, String altUnits, StructureData sdata, TimedCollection collForFeature) {
super(s, timeUnit, altUnits, -1);
setCalendarDateRange(collForFeature.getDateRange());
this.sdata = sdata;
this.collForFeature = collForFeature;
}
// an iterator over the observations for this station
@Override
public PointFeatureIterator getPointFeatureIterator(int bufferSize) throws IOException {
CompositeStationFeatureIterator iter = new CompositeStationFeatureIterator();
if ((boundingBox == null) || (dateRange == null) || (npts < 0))
iter.setCalculateBounds(this);
return iter;
}
@Override
public StationTimeSeriesFeature subset(DateRange dateRange) throws IOException {
return subset(CalendarDateRange.of(dateRange)); // Handles dateRange == null.
}
@Override
public StationTimeSeriesFeature subset(CalendarDateRange dateRange) throws IOException {
if (dateRange == null) return this;
// Extract the collection members that intersect dateRange. For example, if we have:
// collForFeature == CollectionManager{
// Dataset{location='foo_20141015.nc', dateRange=2014-10-15T00:00:00Z - 2014-10-16T00:00:00Z}
// Dataset{location='foo_20141016.nc', dateRange=2014-10-16T00:00:00Z - 2014-10-17T00:00:00Z}
// Dataset{location='foo_20141017.nc', dateRange=2014-10-17T00:00:00Z - 2014-10-18T00:00:00Z}
// Dataset{location='foo_20141018.nc', dateRange=2014-10-18T00:00:00Z - 2014-10-19T00:00:00Z}
// }
// and we want to subset it with:
// dateRange == 2014-10-16T12:00:00Z - 2014-10-17T12:00:00Z
// the result will be:
// collectionSubset == CollectionManager{
// Dataset{location='foo_20141016.nc', dateRange=2014-10-16T00:00:00Z - 2014-10-17T00:00:00Z}
// Dataset{location='foo_20141017.nc', dateRange=2014-10-17T00:00:00Z - 2014-10-18T00:00:00Z}
// }
TimedCollection collectionSubset = collForFeature.subset(dateRange);
// Create a new CompositeStationFeature from the subsetted collection.
CompositeStationFeature compStnFeatSubset =
new CompositeStationFeature(s, getTimeUnit(), getAltUnits(), sdata, collectionSubset);
// We're not done yet! While compStnFeatSubset has been limited to only include datasets that intersect dateRange,
// it'll often be the case that those datasets contain some times that we don't want. In the example above,
// we only want:
// dateRange == 2014-10-16T12:00:00Z - 2014-10-17T12:00:00Z
// but the range of compStnFeatSubset is:
// 2014-10-16T00:00:00Z - 2014-10-18T00:00:00Z
// We don't want the first or last 12 hours! So, wrap in a StationFeatureSubset to do per-feature filtering.
// Note that the TimedCollection.subset() call above is still worth doing, as it limits the number of features
// we must iterate over.
return new StationFeatureSubset(compStnFeatSubset, dateRange);
}
@Override
public StructureData getFeatureData() throws IOException {
return sdata;
}
@Override
public PointFeatureCollection subset(LatLonRect boundingBox, CalendarDateRange dateRange) throws IOException {
if (boundingBox != null) {
if (!boundingBox.contains(s.getLatLon())) return null;
if (dateRange == null) return this;
}
return subset(dateRange);
}
// the iterator over PointFeature - an iterator over iterators, one for each dataset
private class CompositeStationFeatureIterator extends PointIteratorAbstract {
private int bufferSize = -1;
private Iterator iter;
private FeatureDatasetPoint currentDataset;
private PointFeatureIterator pfIter = null;
private boolean finished = false;
CompositeStationFeatureIterator() {
iter = collForFeature.getDatasets().iterator();
}
private PointFeatureIterator getNextIterator() throws IOException {
if (!iter.hasNext()) return null;
TimedCollection.Dataset td = iter.next();
Formatter errlog = new Formatter();
currentDataset = (FeatureDatasetPoint) FeatureDatasetFactoryManager.open(FeatureType.STATION, td.getLocation(), null, errlog);
List fcList = currentDataset.getPointFeatureCollectionList();
StationTimeSeriesFeatureCollection stnCollection = (StationTimeSeriesFeatureCollection) fcList.get(0);
Station s = stnCollection.getStation(getName());
if (s == null) {
System.out.printf("CompositeStationFeatureIterator dataset: %s missing station %s%n",
td.getLocation(), getName());
return getNextIterator();
}
StationTimeSeriesFeature stnFeature = stnCollection.getStationFeature(s);
if (CompositeDatasetFactory.debug)
System.out.printf("CompositeStationFeatureIterator open dataset: %s for %s%n", td.getLocation(), s.getName());
return stnFeature.getPointFeatureIterator(bufferSize);
}
public boolean hasNext() throws IOException {
if (pfIter == null) {
pfIter = getNextIterator();
if (pfIter == null) {
finish();
return false;
}
}
if (!pfIter.hasNext()) {
pfIter.finish();
currentDataset.close();
if (CompositeDatasetFactory.debug)
System.out.printf("CompositeStationFeatureIterator close dataset: %s%n", currentDataset.getLocation());
pfIter = getNextIterator();
return hasNext();
}
return true;
}
public PointFeature next() throws IOException {
npts++;
return pfIter.next();
}
public void finish() {
if (finished) return;
if (pfIter != null)
pfIter.finish();
if (currentDataset != null)
try {
currentDataset.close();
if (CompositeDatasetFactory.debug)
System.out.printf("CompositeStationFeatureIterator close dataset: %s%n", currentDataset.getLocation());
} catch (IOException e) {
throw new RuntimeException(e);
}
finishCalcBounds();
finished = true;
//if (CompositeStationFeature.this.npts < 0) // LOOK needed ?
// CompositeStationFeature.this.npts = getCount();
}
public void setBufferSize(int bytes) {
bufferSize = bytes;
}
}
}
}
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