Package org.geotools.feature.visitor

Examples of org.geotools.feature.visitor.FeatureCalc

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                // In case the domain has range, we will check the second element
                // in case we are looking for the maximum
                if (domainType != DomainType.SINGLE_VALUE && extrema.toLowerCase().endsWith("maximum")) {
                        attribute = additionalPropertyName;
                }
                final FeatureCalc visitor = createExtremaQuery(extrema, attribute);
               
                // check result
                CalcResult tempRes = visitor.getResult();
                if (tempRes == null){
                    throw new IllegalStateException("Unable to compute extrema value:"+extrema);
                }
                final Object result=tempRes.getValue();
                if (result == null){
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     */
    FeatureCalc createExtremaQuery(String metadataName, String attributeName) throws IOException {
        final Query query = new Query(typeName);
        query.setPropertyNames(Arrays.asList(attributeName));

        final FeatureCalc visitor=
            metadataName.toLowerCase().endsWith("maximum")?
                new MaxVisitor(attributeName):new MinVisitor(attributeName);
        granuleCatalog.computeAggregateFunction(query, visitor);
        return visitor;
    }
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        // Checking whether it supports sorting capabilities
        if(granuleCatalog.getQueryCapabilities(typeName).supportsSorting(sb)){
            query.setSortBy(sb);
        }
       
        final FeatureCalc visitor = domainType == DomainType.TIME_RANGE ? new DateRangeVisitor(attribute, secondAttribute) : new RangeVisitor(attribute, secondAttribute);
        granuleCatalog.computeAggregateFunction(query, visitor);
        return domainType == DomainType.TIME_RANGE ? ((DateRangeVisitor)visitor).getRange() : ((RangeVisitor)visitor).getRange() ;
       
    }
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        }
        List<AggregationFunction> functionList = new ArrayList<AggregationFunction>(functions);
        List<FeatureCalc> visitors = new ArrayList<FeatureCalc>();

        for (AggregationFunction function : functionList) {
            FeatureCalc calc;
            if (function == AggregationFunction.Average) {
                calc = new AverageVisitor(attIndex, features.getSchema());
            } else if (function == AggregationFunction.Count) {
                calc = new CountVisitor();
            } else if (function == AggregationFunction.Max) {
                calc = new MaxVisitor(attIndex, features.getSchema());
            } else if (function == AggregationFunction.Median) {
                calc = new MedianVisitor(attIndex, features.getSchema());
            } else if (function == AggregationFunction.Min) {
                calc = new MinVisitor(attIndex, features.getSchema());
            } else if (function == AggregationFunction.StdDev) {
                calc = new StandardDeviationVisitor(CommonFactoryFinder.getFilterFactory(null).property(aggAttribute));
            } else if (function == AggregationFunction.Sum) {
                calc = new SumVisitor(attIndex, features.getSchema());
            } else {
                throw new ProcessException("Uknown method " + function);
            }
            visitors.add(calc);
        }

        EnumMap<AggregationFunction, Number> results = new EnumMap<AggregationFunction, Number>(AggregationFunction.class);
        if (singlePass) {
            AggregateFeatureCalc calc = new AggregateFeatureCalc(visitors);
            features.accepts(calc, new NullProgressListener());
            List<CalcResult> resultList = (List<CalcResult>) calc.getResult().getValue();
            for (int i = 0; i < functionList.size(); i++) {
                CalcResult result = resultList.get(i);
                if(result != null) {
                    results.put(functionList.get(i), (Number) result.getValue());
                }
            }
        } else {
            for (int i = 0; i < functionList.size(); i++) {
                final FeatureCalc calc = visitors.get(i);
                features.accepts(calc, new NullProgressListener());
                results.put(functionList.get(i), (Number) calc.getResult().getValue());
            }
        }

        return new Results(results);
    }
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        List<AggregationFunction> functionList = new ArrayList<AggregationFunction>(functions);
        List<FeatureCalc> visitors = new ArrayList<FeatureCalc>();

        for (AggregationFunction function : functionList) {
            FeatureCalc calc;
            if (function == AggregationFunction.Average) {
                calc = new AverageVisitor(attIndex, features.getSchema());
            } else if (function == AggregationFunction.Count) {
                calc = new CountVisitor();
            } else if (function == AggregationFunction.Max) {
                calc = new MaxVisitor(attIndex, features.getSchema());
            } else if (function == AggregationFunction.Median) {
                calc = new MedianVisitor(attIndex, features.getSchema());
            } else if (function == AggregationFunction.Min) {
                calc = new MinVisitor(attIndex, features.getSchema());
            } else if (function == AggregationFunction.StdDev) {
                calc = new StandardDeviationVisitor(CommonFactoryFinder.getFilterFactory(null).property(aggAttribute));
            } else if (function == AggregationFunction.Sum) {
                calc = new SumVisitor(attIndex, features.getSchema());
            } else {
                throw new WPSException("Uknown method " + function);
            }
            visitors.add(calc);
        }

        EnumMap<AggregationFunction, Number> results = new EnumMap<AggregationFunction, Number>(AggregationFunction.class);
        if (singlePass != null && singlePass) {
            AggregateFeatureCalc calc = new AggregateFeatureCalc(visitors);
            features.accepts(calc, new NullProgressListener());
            List<CalcResult> resultList = (List<CalcResult>) calc.getResult().getValue();
            for (int i = 0; i < functionList.size(); i++) {
                CalcResult result = resultList.get(i);
                if(result != null) {
                    results.put(functionList.get(i), (Number) result.getValue());
                }
            }
        } else {
            for (int i = 0; i < functionList.size(); i++) {
                final FeatureCalc calc = visitors.get(i);
                features.accepts(calc, new NullProgressListener());
                results.put(functionList.get(i), (Number) calc.getResult().getValue());
            }
        }

        return new Results(results);
    }
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        DimensionDescriptor dd = descriptors.get(dimensionName);
        if (dd == null) {
            throw new ServiceException("Could not find dimension " + dimensionName
                    + " in coverage reader backing " + resource.prefixedName());
        }
        FeatureCalc calc = getFeatureCalcForStrategy(delegateStrategy, dd);
        fc.accepts(calc, null);
        Object result = calc.getResult().getValue();
        if (LOGGER.isLoggable(Level.FINE)) {
            LOGGER.fine("Computed default value for " + dimensionName + " in layer "
                    + resource.prefixedName() + " using " + domainRestriction
                    + " to limit the domain resulted in value: " + result);
        }
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                }
            } catch (IOException e) {
            }                      
        }

        final FeatureCalc nearest = new NearestVisitor(ff.property(dimension.getAttribute()),
                this.toMatch);
       
        CalcResult res = getCalculatedResult((FeatureTypeInfo) resource, dimension, nearest);
        if (res.equals(CalcResult.NULL_RESULT)) {
            return null;
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Related Classes of org.geotools.feature.visitor.FeatureCalc

  • org.geoserver.wms.dimension.DynamicDefaultValueSelectionFactory
  • org.geoserver.wms.dimension.impl.FeatureNearestValueSelectionStrategyImpl
  • org.geoserver.wps.gs.AggregateProcess
  • org.geotools.gce.imagemosaic.RasterManager
  • org.geotools.gce.imagemosaic.RasterManager$DomainDescriptor
  • org.geotools.process.vector.AggregateProcess
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