Examples with MapResultData org.apache.jmeter.report.processor.MapResultData used on opensource projects

Example 1 with MapResultData

use of org.apache.jmeter.report.processor.MapResultData in project jmeter by apache.

the class AbstractGraphConsumer method addKeyData.

/**
 * Adds a value map build from specified parameters to the result map.
 *
 * @param result     {@link MapResultData}
 * @param group
 * @param series
 * @param seriesData
 * @param aggregated
 */
private void addKeyData(MapResultData result, @SuppressWarnings("unused") String group, String series, SeriesData seriesData, boolean aggregated) {
    // Override series name when aggregated
    if (aggregated) {
        series = String.format(aggregatedKeysSeriesFormat, series);
    }
    // Add to the result map
    ListResultData seriesList = (ListResultData) result.getResult(RESULT_SERIES);
    // Looks for series result using its name
    MapResultData seriesResult = null;
    int index = 0;
    int size = seriesList.getSize();
    while (seriesResult == null && index < size) {
        MapResultData currSeries = (MapResultData) seriesList.get(index);
        String name = String.valueOf(((ValueResultData) currSeries.getResult(RESULT_SERIES_NAME)).getValue());
        if (Objects.equals(name, series)) {
            seriesResult = currSeries;
        }
        index++;
    }
    // Create series result if not found
    if (seriesResult == null) {
        seriesResult = createSerieResult(series, seriesData);
        seriesList.addResult(seriesResult);
    }
    ListResultData dataResult = (ListResultData) seriesResult.getResult(RESULT_SERIES_DATA);
    // Populate it with data from groupData
    Map<Double, Aggregator> aggInfo;
    if (aggregated) {
        aggInfo = new HashMap<>();
        aggInfo.put(seriesData.getKeysAggregator().getResult(), seriesData.getValuesAggregator());
    } else {
        aggInfo = seriesData.getAggregatorInfo();
    }
    if (!renderPercentiles) {
        for (Map.Entry<Double, Aggregator> entry : aggInfo.entrySet()) {
            // Init key and value depending on invertKeysAndValues property
            Double key = entry.getKey();
            Double value = entry.getValue().getResult();
            if (invertKeysAndValues) {
                key = entry.getValue().getResult();
                value = entry.getKey();
            }
            // Create result storage for coordinates
            ListResultData coordResult = new ListResultData();
            coordResult.addResult(new ValueResultData(key));
            coordResult.addResult(new ValueResultData(value));
            dataResult.addResult(coordResult);
            setMinResult(result, RESULT_MIN_X, key);
            setMaxResult(result, RESULT_MAX_X, key);
            setMinResult(result, RESULT_MIN_Y, value);
            setMaxResult(result, RESULT_MAX_Y, value);
        }
    } else {
        long count = seriesData.getCount();
        int rank = 0;
        double percent = 0;
        TreeMap<Double, Aggregator> sortedInfo = new TreeMap<>(aggInfo);
        if (!invertKeysAndValues) {
            for (Map.Entry<Double, Aggregator> entry : sortedInfo.entrySet()) {
                Double value = entry.getKey();
                percent += (double) 100 * entry.getValue().getCount() / count;
                double percentile = (double) rank / 10;
                while (percentile < percent) {
                    ListResultData coordResult = new ListResultData();
                    coordResult.addResult(new ValueResultData(percentile));
                    coordResult.addResult(new ValueResultData(value));
                    dataResult.addResult(coordResult);
                    percentile = (double) ++rank / 10;
                }
                setMinResult(result, RESULT_MIN_Y, value);
                setMaxResult(result, RESULT_MAX_Y, value);
            }
            setMinResult(result, RESULT_MIN_X, 0d);
            setMaxResult(result, RESULT_MAX_X, 100d);
        } else {
            for (Map.Entry<Double, Aggregator> entry : sortedInfo.entrySet()) {
                Double value = entry.getKey();
                percent += (double) 100 * entry.getValue().getCount() / count;
                double percentile = (double) rank / 10;
                while (percentile < percent) {
                    ListResultData coordResult = new ListResultData();
                    coordResult.addResult(new ValueResultData(value));
                    coordResult.addResult(new ValueResultData(percentile));
                    dataResult.addResult(coordResult);
                    percentile = (double) ++rank / 10;
                }
                setMinResult(result, RESULT_MIN_X, value);
                setMaxResult(result, RESULT_MAX_X, value);
            }
            setMinResult(result, RESULT_MIN_Y, 0d);
            setMaxResult(result, RESULT_MAX_Y, 100d);
        }
    }
}

Example 2 with MapResultData

use of org.apache.jmeter.report.processor.MapResultData in project jmeter by apache.

the class AbstractGraphConsumer method createResult.

private MapResultData createResult() {
    MapResultData result = new MapResultData();
    result.setResult(RESULT_MIN_X, new ValueResultData(Double.MAX_VALUE));
    result.setResult(RESULT_MAX_X, new ValueResultData(Double.MIN_VALUE));
    result.setResult(RESULT_MIN_Y, new ValueResultData(Double.MAX_VALUE));
    result.setResult(RESULT_MAX_Y, new ValueResultData(Double.MIN_VALUE));
    result.setResult(RESULT_TITLE, new ValueResultData(getTitle()));
    result.setResult(RESULT_SERIES, new ListResultData());
    boolean supportsControllersDiscrimination = groupInfos.values().stream().map(GroupInfo::getSeriesSelector).allMatch(GraphSeriesSelector::allowsControllersDiscrimination);
    result.setResult(RESULT_SUPPORTS_CONTROLLERS_DISCRIMINATION, new ValueResultData(supportsControllersDiscrimination));
    initializeExtraResults(result);
    return result;
}

Example 3 with MapResultData

use of org.apache.jmeter.report.processor.MapResultData in project jmeter by apache.

the class AbstractDataExporter method findData.

/**
 * Finds a inner ResultData matching the specified data name in a ResultData
 * tree. Supports only MapResultData walking.
 *
 * @param data
 *            the name of the data containing the value
 * @param root
 *            the root of the tree
 * @return the ResultData matching the data name
 */
protected static ResultData findData(String data, ResultData root) {
    String[] pathItems = StringUtils.split(data, '.');
    if (pathItems == null || !(root instanceof MapResultData)) {
        return null;
    }
    ResultData result = null;
    int count = pathItems.length;
    int index = 0;
    MapResultData map = (MapResultData) root;
    while (index < count && result == null) {
        ResultData current = map.getResult(pathItems[index]);
        if (index == count - 1) {
            result = current;
        } else {
            if (current instanceof MapResultData) {
                map = (MapResultData) current;
                index++;
            }
        }
    }
    return result;
}

Example 4 with MapResultData

use of org.apache.jmeter.report.processor.MapResultData in project jmeter by apache.

the class CustomGraphConsumerTest method init.

@BeforeEach
public void init() {
    customGraphConsumer = new CustomGraphConsumer();
    customGraphConsumer.setGranularity(60000);
    customGraphConsumer.setTitle("graph title");
    customGraphConsumer.setXAxis("X axis name");
    customGraphConsumer.setYAxis("Y axis name");
    customGraphConsumer.setContentMessage("content message");
    customGraphConsumer.setSampleVariableName("ulp_lag_ratio");
    map = customGraphConsumer.createGroupInfos();
    resultData = new MapResultData();
}

Example 5 with MapResultData

use of org.apache.jmeter.report.processor.MapResultData in project jmeter by apache.

the class SyntheticResponseTimeDistributionGraphConsumer method create.

private MapResultData create(String serie, String color) {
    GroupInfo groupInfo = getGroupInfos().get(AbstractGraphConsumer.DEFAULT_GROUP);
    SeriesData seriesData = new SeriesData(groupInfo.getAggregatorFactory(), groupInfo.enablesAggregatedKeysSeries(), false, groupInfo.enablesOverallSeries());
    MapResultData seriesResult = createSerieResult(serie, seriesData);
    seriesResult.setResult(SERIE_COLOR_PROPERTY, new ValueResultData(color));
    return seriesResult;
}