/**
* Get the data type of the command attribute
*
* @param wfs datastore
* @return data type as Class
*/
private Class<?> getDataType(WFSContentDataStore wfs) {
SimpleFeatureType schema;
Class<?> clazz = null;
try {
schema = wfs.getSchema(_wfsngTypeName); // get schema
clazz = schema.getType(_command.getPropertyName()).getBinding(); // get data type as Class
} catch (IOException e) {
e.printStackTrace();
}
if (clazz == null) {
throw new RuntimeException(
"Should never happen, we need to know what type is the attribute of");
}
return clazz;
}
/**
* Upload all the features from the WFS and then prepare the factories to fulfill the different
* type of classifications and displays
*
* @throws DocServiceException
*/
private void doClassification() throws DocServiceException {
try {
// connect to the remote WFS
WFSContentDataStore wfs = connectToWFS(_command.getWFSUrl());
// check if property name exists
SimpleFeatureType ft = wfs.getSchema(_wfsngTypeName);
int index = ft.indexOf(_command.getPropertyName());
if (index == -1) {
throw new DocServiceException(
_command.getPropertyName() + " is not an attribute of " + _command.getFeatureTypeName(),
HttpServletResponse.SC_BAD_REQUEST);
}
// Load all the features
FeatureSource<SimpleFeatureType, SimpleFeature> source = wfs.getFeatureSource(_wfsngTypeName);
FeatureCollection<SimpleFeatureType, SimpleFeature> featuresCollection = source.getFeatures();
// We need a display (Symbolizers) and a value (Filters) fatories to generate a SLD file
I_SymbolizerFactory symbolizerFact = null; // create symbols
I_FilterFactory filterFact = null; // create filters
// execute different type of classification given the type requested by user
if (_command.getClassifType() == E_ClassifType.CHOROPLETHS
|| _command.getClassifType() == E_ClassifType.PROP_SYMBOLS) {
// Classification on continuous values. Sorting is needed to classify:
// Double values are mandatory (for now)
if (getDataType(wfs) == String.class) {
// choropleths and prop symbols use quantile classification
// therefore classify on string type has no purpose
throw new DocServiceException(
"Classification on continous values ("
+ _command.getClassifType()
+ ").\n"
+ "Attribute "
+ _command.getPropertyName()
+ " is string type."
+ " Therefore no classification on contiuous values can be done."
+ " It needs be a meaningful comparable type (numerical, date...)."
+ " Use unique values classification instead.",
HttpServletResponse.SC_BAD_REQUEST);
} else if ((getDataType(wfs) != Double.class)
&& (getDataType(wfs) != Float.class)
&& (getDataType(wfs) != Integer.class)
&& (getDataType(wfs) != Long.class)
&& (getDataType(wfs) != Short.class)) {
// for now, only double, float, integer, and short types are supported
// FIXME deal with others numerical types, dates...
// they all must be comparable type as sorting is required for classification
throw new DocServiceException(
"Classification on " + getDataType(wfs).getName() + " type is not supported.",
HttpServletResponse.SC_NOT_IMPLEMENTED);
}
// get values to classify
ArrayList<Double> values =
getDoubleValues(featuresCollection.features(), _command.getPropertyName());
filterFact =
new ContinuousFilterFactory(
values, _command.getClassCount(), _command.getPropertyName());
if (_command.getClassifType() == E_ClassifType.CHOROPLETHS) {
switch (_command.getSymbolType()) {
case POLYGON:
symbolizerFact =
new PolygonSymbolizerFactory(
_command.getClassCount(), _command.getFirstColor(), _command.getLastColor());
break;
case LINE:
symbolizerFact =
new LineSymbolizerFactory(
_command.getClassCount(), _command.getFirstColor(), _command.getLastColor());
break;
case POINT:
symbolizerFact =
new PointSymbolizerFactory(
_command.getClassCount(), _command.getFirstColor(), _command.getLastColor());
break;
default:
throw new DocServiceException(
"Choropleths classification on symbol type: "
+ _command.getSymbolType()
+ " is not supported.",
HttpServletResponse.SC_BAD_REQUEST);
}
} else if (_command.getClassifType() == E_ClassifType.PROP_SYMBOLS) {
switch (_command.getSymbolType()) {
case LINE:
symbolizerFact =
new LineSymbolizerFactory(
_command.getClassCount(), _command.getMinSize(), _command.getMaxSize());
// customizing is possible
// symbolizerFact.setColor(Color.BLUE);
break;
case POINT:
symbolizerFact =
new PointSymbolizerFactory(
_command.getClassCount(), _command.getMinSize(), _command.getMaxSize());
// customizing is possible
// symbolizerFact.setColor(Color.BLUE);
// symbolizerFact.setSymbol(StyleBuilder.MARK_CROSS);
break;
default:
throw new DocServiceException(
"Proportional symbols classification on symbol type: "
+ _command.getSymbolType()
+ " is not supported.",
HttpServletResponse.SC_BAD_REQUEST);
}
}
} else if (_command.getClassifType() == E_ClassifType.UNIQUE_VALUES) {
// no needs to classify on Unique Values. They can be kept as Strings.
Set<String> values =
getUniqueStringValues(featuresCollection.features(), _command.getPropertyName());
filterFact = new DiscreteFilterFactory(values, _command.getPropertyName());
switch (_command.getSymbolType()) {
case POLYGON:
symbolizerFact = new PolygonSymbolizerFactory(_command.getPaletteID(), values.size());
break;
case LINE:
symbolizerFact = new LineSymbolizerFactory(_command.getPaletteID(), values.size());
break;
case POINT:
symbolizerFact = new PointSymbolizerFactory(_command.getPaletteID(), values.size());
break;
default:
throw new DocServiceException(
"Unique values classification on symbol type: "
+ _command.getSymbolType()
+ " is not supported.",
HttpServletResponse.SC_BAD_REQUEST);
}
} else {
throw new DocServiceException(
"Unknown classification type: " + _command.getClassifType(),
HttpServletResponse.SC_BAD_REQUEST);
}
assert (symbolizerFact != null);
assert (filterFact != null);
// With those 2 factories a FeatureTypeStyle can be created
FeatureTypeStyle fts = createFeatureTypeStyle(filterFact, symbolizerFact);
// Use FeatureTypeStyle to generate a complete SLD object
_sld = createSLD(fts);
} catch (IOException e) {
e.printStackTrace(); // could happened when communicating with WFS
}
}
