Examples with TimeseriesMetadata org.n52.shetland.ogc.om.series.TimeseriesMetadata used on opensource projects

Example 1 with TimeseriesMetadata

use of org.n52.shetland.ogc.om.series.TimeseriesMetadata in project series-rest-api by 52North.

the class MultipleChartsRenderer method writeDataToChart.

@Override
public void writeDataToChart(DataCollection<Data<QuantityValue>> data) {
    Map<String, Data<QuantityValue>> allTimeseries = data.getAllSeries();
    List<? extends DatasetOutput<?>> timeseriesMetadatas = getMetadataOutputs();
    int rendererCount = timeseriesMetadatas.size();
    for (int rendererIndex = 0; rendererIndex < timeseriesMetadatas.size(); rendererIndex++) {
        /*
             * For each index put data and its renderer configured to a particular style. As each timeseries
             * may define its custom styling and different chart types we have to loop over all timeseries to
             * configure chart rendering.
             */
        DatasetOutput<?> timeseriesMetadata = timeseriesMetadatas.get(rendererIndex);
        String timeseriesId = timeseriesMetadata.getId();
        StyleProperties style = getDatasetStyleFor(timeseriesId);
        Data<QuantityValue> timeseriesData = allTimeseries.get(timeseriesId);
        String chartId = createChartId(timeseriesMetadata);
        ChartIndexConfiguration configuration = new ChartIndexConfiguration(chartId, rendererIndex);
        configuration.setData(timeseriesData, timeseriesMetadata, style);
        configuration.setRenderer(createRenderer(style));
        if (timeseriesData.hasReferenceValues()) {
            int referenceIndex = rendererCount;
            /*
                 * Configure timeseries reference value renderers with the same metadata and add it at the end
                 * of the plot's renderer list.
                 */
            DatasetMetadata<QuantityValue> metadata = timeseriesData.getMetadata();
            Map<String, Data<QuantityValue>> referenceValues = metadata.getReferenceValues();
            for (Entry<String, Data<QuantityValue>> referencedTimeseries : referenceValues.entrySet()) {
                String referenceTimeseriesId = referencedTimeseries.getKey();
                ReferenceValueOutput<?> referenceOutput = getReferenceValue(referenceTimeseriesId, timeseriesMetadata);
                String referenceChartId = createChartId(timeseriesMetadata, referenceOutput.getLabel());
                Data<QuantityValue> referenceData = referenceValues.get(referenceTimeseriesId);
                ChartIndexConfiguration referenceConfiguration = new ChartIndexConfiguration(referenceChartId, referenceIndex);
                StyleProperties referenceStyle = getTimeseriesStyleFor(timeseriesId, referenceTimeseriesId);
                referenceConfiguration.setReferenceData(referenceData, timeseriesMetadata, referenceStyle);
                referenceConfiguration.setRenderer(createRenderer(referenceStyle));
                referenceIndex++;
            }
        }
    }
}

Example 2 with TimeseriesMetadata

use of org.n52.shetland.ogc.om.series.TimeseriesMetadata in project sensorweb-server-helgoland by 52North.

the class MultipleChartsRenderer method writeDataToChart.

@Override
public void writeDataToChart(DataCollection<Data<QuantityValue>> data) {
    Map<String, Data<QuantityValue>> allTimeseries = data.getAllSeries();
    List<? extends DatasetOutput<?>> timeseriesMetadatas = getMetadataOutputs();
    int rendererCount = timeseriesMetadatas.size();
    for (int rendererIndex = 0; rendererIndex < timeseriesMetadatas.size(); rendererIndex++) {
        /*
             * For each index put data and its renderer configured to a particular style. As each timeseries
             * may define its custom styling and different chart types we have to loop over all timeseries to
             * configure chart rendering.
             */
        DatasetOutput<?> timeseriesMetadata = timeseriesMetadatas.get(rendererIndex);
        String timeseriesId = timeseriesMetadata.getId();
        StyleProperties style = getDatasetStyleFor(timeseriesId);
        Data<QuantityValue> timeseriesData = allTimeseries.get(timeseriesId);
        String chartId = createChartId(timeseriesMetadata);
        ChartIndexConfiguration configuration = new ChartIndexConfiguration(chartId, rendererIndex);
        configuration.setData(timeseriesData, timeseriesMetadata, style);
        configuration.setRenderer(createRenderer(style));
        if (timeseriesData.hasReferenceValues()) {
            int referenceIndex = rendererCount;
            /*
                 * Configure timeseries reference value renderers with the same metadata and add it at the end
                 * of the plot's renderer list.
                 */
            DatasetMetadata<QuantityValue> metadata = timeseriesData.getMetadata();
            Map<String, Data<QuantityValue>> referenceValues = metadata.getReferenceValues();
            for (Entry<String, Data<QuantityValue>> referencedTimeseries : referenceValues.entrySet()) {
                String referenceTimeseriesId = referencedTimeseries.getKey();
                ReferenceValueOutput<?> referenceOutput = getReferenceValue(referenceTimeseriesId, timeseriesMetadata);
                String referenceChartId = createChartId(timeseriesMetadata, referenceOutput.getLabel());
                Data<QuantityValue> referenceData = referenceValues.get(referenceTimeseriesId);
                ChartIndexConfiguration referenceConfiguration = new ChartIndexConfiguration(referenceChartId, referenceIndex);
                StyleProperties referenceStyle = getTimeseriesStyleFor(timeseriesId, referenceTimeseriesId);
                referenceConfiguration.setReferenceData(referenceData, timeseriesMetadata, referenceStyle);
                referenceConfiguration.setRenderer(createRenderer(referenceStyle));
                referenceIndex++;
            }
        }
    }
}

Example 3 with TimeseriesMetadata

use of org.n52.shetland.ogc.om.series.TimeseriesMetadata in project arctic-sea by 52North.

the class TsmlTVPEncoderv10 method createMeasurementTimeseries.

private XmlObject createMeasurementTimeseries(AbstractObservationValue<?> observationValue) throws CodedException, EncodingException {
    TimeseriesTVPDocument measurementTimeseriesDoc = TimeseriesTVPDocument.Factory.newInstance();
    TimeseriesTVPType measurementTimeseries = measurementTimeseriesDoc.addNewTimeseriesTVP();
    ((AbstractGMLType) measurementTimeseries).setId(TIMESERIES_ID_PREFIX + observationValue.getObservationID());
    // Default value
    TimeseriesMetadata timeseriesMetadata = new MeasurementTimeseriesMetadata().setCumulative(false);
    if (observationValue.isSetValue() && observationValue.isSetMetadata() && observationValue.getMetadata().isSetTimeseriesMetadata()) {
        timeseriesMetadata = observationValue.getMetadata().getTimeseriesmetadata();
    }
    addTimeseriesMetadata(measurementTimeseries, observationValue.getPhenomenonTime().getGmlId(), timeseriesMetadata);
    TimeseriesTVPType.DefaultPointMetadata xbMetaComponent = measurementTimeseries.addNewDefaultPointMetadata();
    PointMetadataDocument xbDefMeasureMetaComponent = PointMetadataDocument.Factory.newInstance();
    PointMetadataType defaultTVPMeasurementMetadata = xbDefMeasureMetaComponent.addNewPointMetadata();
    // Default value
    InterpolationType interpolationType = InterpolationType.Continuous;
    if (observationValue.isSetValue() && observationValue.isSetDefaultPointMetadata() && observationValue.getDefaultPointMetadata().isSetDefaultTVPMeasurementMetadata() && observationValue.getDefaultPointMetadata().getDefaultTVPMeasurementMetadata().isSetInterpolationType()) {
        interpolationType = (InterpolationType) observationValue.getDefaultPointMetadata().getDefaultTVPMeasurementMetadata().getInterpolationtype();
    }
    defaultTVPMeasurementMetadata.addNewInterpolationType().setHref(interpolationType.getIdentifier());
    xbDefMeasureMetaComponent.getPointMetadata().getInterpolationType().setTitle(interpolationType.getTitle());
    String unit = addValues(measurementTimeseries, observationValue);
    // set uom
    if (unit != null && !unit.isEmpty()) {
        defaultTVPMeasurementMetadata.addNewUom().setCode(unit);
    // } else {
    // OmObservableProperty observableProperty =
    // (OmObservableProperty)
    // sosObservation.getObservationConstellation().getObservableProperty();
    // if (observableProperty.isSetUnit()) {
    // defaultTVPMeasurementMetadata.addNewUom().setCode(observableProperty.getUnit());
    // }
    }
    xbMetaComponent.set(xbDefMeasureMetaComponent);
    return measurementTimeseriesDoc;
}

Example 4 with TimeseriesMetadata

use of org.n52.shetland.ogc.om.series.TimeseriesMetadata in project arctic-sea by 52North.

the class TsmlTVPEncoderv10 method addTimeseriesMetadata.

private void addTimeseriesMetadata(TimeseriesTVPType mtt, String gmlId, TimeseriesMetadata timeseriesMetadata) {
    TimeseriesMetadataType mtmt = (TimeseriesMetadataType) mtt.addNewMetadata().addNewTimeseriesMetadata().substitute(TimeseriesMLConstants.QN_MEASUREMENT_TIMESERIES_METADATA, TimeseriesMetadataType.type);
    createMeasurementTimeseriesMetadataType(mtmt, gmlId);
    if (timeseriesMetadata != null && timeseriesMetadata.getClass().isAssignableFrom(MeasurementTimeseriesMetadata.class)) {
        mtmt.setCumulative(((MeasurementTimeseriesMetadata) timeseriesMetadata).isCumulative());
    }
}

Example 5 with TimeseriesMetadata

use of org.n52.shetland.ogc.om.series.TimeseriesMetadata in project arctic-sea by 52North.

the class WmlTVPEncoderv20 method createMeasurementTimeseries.

/**
 * Create a XML MeasurementTimeseries object from SOS observation for
 * om:result
 *
 * @param sosObservation
 *            SOS observation
 *
 * @return XML MeasurementTimeseries object
 * @throws EncodingException
 *
 * @throws CodedException
 *             if the encoding fails
 */
private XmlObject createMeasurementTimeseries(OmObservation sosObservation) throws OwsExceptionReport, EncodingException {
    MeasurementTimeseriesDocument measurementTimeseriesDoc = MeasurementTimeseriesDocument.Factory.newInstance();
    MeasurementTimeseriesType measurementTimeseries = measurementTimeseriesDoc.addNewMeasurementTimeseries();
    measurementTimeseries.setId(TIMESERIES_ID_PREFIX + sosObservation.getObservationID());
    // Default value
    TimeseriesMetadata timeseriesMetadata = new MeasurementTimeseriesMetadata().setCumulative(false);
    if (sosObservation.isSetValue() && sosObservation.getValue().isSetValue() && sosObservation.getValue().getValue().getClass().isAssignableFrom(TVPValue.class) && sosObservation.getObservationConstellation().isSetMetadata() && sosObservation.getObservationConstellation().getMetadata().isSetTimeseriesMetadata()) {
        timeseriesMetadata = sosObservation.getObservationConstellation().getMetadata().getTimeseriesmetadata();
    }
    addTimeseriesMetadata(measurementTimeseries, sosObservation.getPhenomenonTime().getGmlId(), timeseriesMetadata);
    TVPDefaultMetadataPropertyType xbMetaComponent = measurementTimeseries.addNewDefaultPointMetadata();
    DefaultTVPMeasurementMetadataDocument xbDefMeasureMetaComponent = DefaultTVPMeasurementMetadataDocument.Factory.newInstance();
    TVPMeasurementMetadataType defaultTVPMeasurementMetadata = xbDefMeasureMetaComponent.addNewDefaultTVPMeasurementMetadata();
    // Default value
    InterpolationType interpolationType = InterpolationType.Continuous;
    if (sosObservation.isSetValue() && sosObservation.getValue().isSetValue() && sosObservation.getObservationConstellation().isSetDefaultPointMetadata() && sosObservation.getObservationConstellation().getDefaultPointMetadata().isSetDefaultTVPMeasurementMetadata() && sosObservation.getObservationConstellation().getDefaultPointMetadata().getDefaultTVPMeasurementMetadata().isSetInterpolationType()) {
        interpolationType = (InterpolationType) sosObservation.getObservationConstellation().getDefaultPointMetadata().getDefaultTVPMeasurementMetadata().getInterpolationtype();
    }
    defaultTVPMeasurementMetadata.addNewInterpolationType().setHref(interpolationType.getIdentifier());
    xbDefMeasureMetaComponent.getDefaultTVPMeasurementMetadata().getInterpolationType().setTitle(interpolationType.getTitle());
    // set aggregationDuration
    if (sosObservation.getObservationConstellation().getDefaultPointMetadata().getDefaultTVPMeasurementMetadata().isSetAggregationDuration()) {
        GDurationBuilder gDurationBuilder = new GDurationBuilder(sosObservation.getObservationConstellation().getDefaultPointMetadata().getDefaultTVPMeasurementMetadata().getAggregationDuration());
        xbDefMeasureMetaComponent.getDefaultTVPMeasurementMetadata().setAggregationDuration(gDurationBuilder.toGDuration());
    }
    String unit = addValues(measurementTimeseries, sosObservation.getValue());
    // set uom
    if (unit != null && !unit.isEmpty()) {
        defaultTVPMeasurementMetadata.addNewUom().setCode(unit);
    } else {
        OmObservableProperty observableProperty = (OmObservableProperty) sosObservation.getObservationConstellation().getObservableProperty();
        if (observableProperty.isSetUnit()) {
            defaultTVPMeasurementMetadata.addNewUom().setCode(observableProperty.getUnit());
        }
    }
    xbMetaComponent.set(xbDefMeasureMetaComponent);
    return measurementTimeseriesDoc;
}