remove percentile plot
Eventually we want to only support what is now called aggregate, but not have to implement different plot types. So instead of supporting percentile plots for dashboards I removed them. You can still get percentile plots together with the scatter plot.
This commit is contained in:
@@ -40,8 +40,6 @@ public class PlotSettings {
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private boolean keyOutside;
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private PlotType plotType;
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private boolean generateThumbnail;
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public String getQuery() {
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@@ -185,8 +183,7 @@ public class PlotSettings {
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return "PlotSettings [query=" + query + ", height=" + height + ", width=" + width + ", thumbnailMaxWidth="
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+ thumbnailMaxWidth + ", thumbnailMaxHeight=" + thumbnailMaxHeight + ", groupBy=" + groupBy
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+ ", limitBy=" + limitBy + ", limit=" + limit + ", dateFrom=" + dateFrom + ", dateRange=" + dateRange
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+ ", yAxisScale=" + yAxisScale + ", aggregate=" + aggregate + ", keyOutside=" + keyOutside
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+ ", plotType=" + plotType + "]";
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+ ", yAxisScale=" + yAxisScale + ", aggregate=" + aggregate + ", keyOutside=" + keyOutside + "]";
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}
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public void setAggregate(final AggregateHandler aggregate) {
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@@ -205,14 +202,6 @@ public class PlotSettings {
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return keyOutside;
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}
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public void setPlotType(final PlotType plotType) {
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this.plotType = plotType;
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}
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public PlotType getPlotType() {
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return plotType;
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}
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public void setGenerateThumbnail(final boolean generateThumbnail) {
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this.generateThumbnail = generateThumbnail;
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}
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@@ -1,5 +0,0 @@
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package org.lucares.pdb.plot.api;
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public enum PlotType {
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SCATTER, PERCENTILES
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}
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@@ -1,45 +0,0 @@
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package org.lucares.recommind.logs;
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import java.time.OffsetDateTime;
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import java.time.format.DateTimeFormatter;
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import java.util.UUID;
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import org.lucares.pdb.api.Tags;
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import org.lucares.pdb.plot.api.PlotSettings;
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public interface ConcretePlotter {
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static final String DEFAULT_GROUP = "<none>";
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PlotResult plot(PlotSettings plotSettings) throws InternalPlottingException;
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static String uniqueDirectoryName() {
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return OffsetDateTime.now().format(DateTimeFormatter.ofPattern("yyyy-MM-dd_HH_mm_ss")) + "_"
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+ UUID.randomUUID().toString();
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}
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static String title(final Tags tags, final int values) {
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final StringBuilder result = new StringBuilder();
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if (tags.isEmpty()) {
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result.append(DEFAULT_GROUP);
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} else {
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tags.forEach((k, v) -> {
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if (result.length() > 0) {
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result.append(" / ");
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}
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result.append(v);
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});
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}
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result.append(" (");
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result.append(String.format("%,d", values));
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result.append(")");
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return result.toString();
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}
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}
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@@ -1,189 +0,0 @@
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package org.lucares.recommind.logs;
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import java.io.BufferedWriter;
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import java.io.File;
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import java.io.FileOutputStream;
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import java.io.IOException;
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import java.io.OutputStreamWriter;
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import java.io.Writer;
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import java.nio.charset.StandardCharsets;
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import java.nio.file.Files;
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import java.nio.file.Path;
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import java.time.OffsetDateTime;
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import java.util.ArrayList;
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import java.util.Collections;
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import java.util.Iterator;
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import java.util.List;
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import java.util.concurrent.atomic.AtomicInteger;
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import java.util.stream.Stream;
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import org.lucares.collections.IntList;
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import org.lucares.pdb.api.Entry;
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import org.lucares.pdb.api.GroupResult;
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import org.lucares.pdb.api.Result;
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import org.lucares.pdb.plot.api.Limit;
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import org.lucares.pdb.plot.api.PlotSettings;
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import org.lucares.performance.db.PerformanceDb;
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import org.lucares.utils.file.FileUtils;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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public class PercentilePlot implements ConcretePlotter {
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private static final Logger LOGGER = LoggerFactory.getLogger(ScatterPlot.class);
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private static final Logger METRICS_LOGGER = LoggerFactory.getLogger("org.lucares.metrics.plotter.percentile");
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private final PerformanceDb db;
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private final Path tmpBaseDir;
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private final Path outputDir;
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public PercentilePlot(final PerformanceDb db, final Path tmpBaseDir, final Path outputDir) {
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this.db = db;
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this.tmpBaseDir = tmpBaseDir;
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this.outputDir = outputDir;
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}
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@Override
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public PlotResult plot(final PlotSettings plotSettings) throws InternalPlottingException {
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LOGGER.trace("start plot: {}", plotSettings);
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final String tmpSubDir = ConcretePlotter.uniqueDirectoryName();
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final Path tmpDir = tmpBaseDir.resolve(tmpSubDir);
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try {
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Files.createDirectories(tmpDir);
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final List<DataSeries> dataSeries = Collections.synchronizedList(new ArrayList<>());
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final String query = plotSettings.getQuery();
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final List<String> groupBy = plotSettings.getGroupBy();
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final int height = plotSettings.getHeight();
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final int width = plotSettings.getWidth();
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final OffsetDateTime dateFrom = plotSettings.dateFrom();
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final OffsetDateTime dateTo = plotSettings.dateTo();
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final Result result = db.get(query, groupBy);
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final long start = System.nanoTime();
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final AtomicInteger idCounter = new AtomicInteger(0);
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result.getGroups().stream().parallel().forEach(groupResult -> {
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try {
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final int id = idCounter.getAndIncrement();
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final FileBackedDataSeries dataSerie = toCsv(id, groupResult, tmpDir, dateFrom, dateTo,
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plotSettings);
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if (dataSerie.getValues() > 0) {
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dataSeries.add(dataSerie);
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}
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} catch (final Exception e) {
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throw new IllegalStateException(e); // TODO
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// handle
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}
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});
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METRICS_LOGGER.debug("csv generation took: " + (System.nanoTime() - start) / 1_000_000.0 + "ms");
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if (dataSeries.isEmpty()) {
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throw new NoDataPointsException();
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}
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final Limit limitBy = plotSettings.getLimitBy();
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final int limit = plotSettings.getLimit();
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DataSeries.sortAndLimit(dataSeries, limitBy, limit);
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DataSeries.setColors(dataSeries);
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final Path outputFile = Files.createTempFile(outputDir, "out", ".png");
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final Gnuplot gnuplot = new Gnuplot(tmpBaseDir);
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final GnuplotSettings gnuplotSettings = new GnuplotSettings(outputFile);
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gnuplotSettings.setHeight(height);
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gnuplotSettings.setWidth(width);
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defineXAxis(gnuplotSettings);
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gnuplotSettings.setYAxisScale(plotSettings.getYAxisScale());
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gnuplotSettings.setAggregate(plotSettings.getAggregate());
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gnuplotSettings.setKeyOutside(plotSettings.isKeyOutside());
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gnuplot.plot(gnuplotSettings, dataSeries);
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return new PlotResult(outputFile, dataSeries, null); // TODO thumbail
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} catch (final InterruptedException e) {
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Thread.currentThread().interrupt();
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throw new IllegalStateException("Plotting was interrupted.");
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} catch (final IOException e) {
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throw new InternalPlottingException("Plotting failed: " + e.getMessage(), e);
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} finally {
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FileUtils.delete(tmpDir);
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LOGGER.trace("done plot");
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}
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}
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private FileBackedDataSeries toCsv(final int id, final GroupResult groupResult, final Path tmpDir,
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final OffsetDateTime dateFrom, final OffsetDateTime dateTo, final PlotSettings plotSettings)
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throws IOException {
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final long start = System.nanoTime();
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final Stream<Entry> entries = groupResult.asStream();
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int count = 0;
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final long fromEpochMilli = dateFrom.toInstant().toEpochMilli();
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final long toEpochMilli = dateTo.toInstant().toEpochMilli();
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long ignoredValues = 0;
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final char separator = ',';
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final char newline = '\n';
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final IntList values = new IntList(); // TODO should be a LongList
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long maxValue = 0;
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final Iterator<Entry> it = entries.iterator();
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while (it.hasNext()) {
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final Entry entry = it.next();
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final long epochMilli = entry.getEpochMilli();
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if (fromEpochMilli <= epochMilli && epochMilli <= toEpochMilli) {
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final long value = entry.getValue();
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values.add((int) value);
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count++;
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} else {
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ignoredValues++;
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}
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}
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values.parallelSort();
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final File dataFile = File.createTempFile("data", ".dat", tmpDir.toFile());
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try (final Writer output = new BufferedWriter(
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new OutputStreamWriter(new FileOutputStream(dataFile), StandardCharsets.US_ASCII));) {
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final StringBuilder data = new StringBuilder();
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if (values.size() > 0) {
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// compute the percentiles
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for (int i = 0; i < 100; i++) {
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data.append(i);
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data.append(separator);
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data.append(values.get((int) Math.floor(values.size() / 100.0 * i)));
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data.append(newline);
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}
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maxValue = values.get(values.size() - 1);
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data.append(100);
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data.append(separator);
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data.append(maxValue);
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data.append(newline);
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}
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output.write(data.toString());
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}
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METRICS_LOGGER.debug("wrote {} values to csv in: {}ms (ignored {} values) grouping={}", count,
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(System.nanoTime() - start) / 1_000_000.0, ignoredValues, groupResult.getGroupedBy());
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final String title = ConcretePlotter.title(groupResult.getGroupedBy(), values.size());
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final CsvSummary csvSummary = new CsvSummary(dataFile, values.size(), maxValue, null);
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return new FileBackedDataSeries(id, title, csvSummary, GnuplotLineType.LINE);
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}
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private void defineXAxis(final GnuplotSettings gnuplotSettings) {
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final XAxisSettings xAxis = gnuplotSettings.getxAxisSettings();
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xAxis.setxDataTime(false);
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xAxis.setFrom("0");
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xAxis.setTo("100");
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xAxis.setRotateXAxisLabel(0);
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xAxis.setFormatX("%.0f");
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xAxis.setXlabel("Percentile");
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}
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}
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@@ -5,7 +5,6 @@ import java.nio.file.LinkOption;
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import java.nio.file.Path;
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import org.lucares.pdb.plot.api.PlotSettings;
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import org.lucares.pdb.plot.api.PlotType;
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import org.lucares.performance.db.PerformanceDb;
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public class Plotter {
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@@ -32,26 +31,10 @@ public class Plotter {
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}
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public PlotResult plot(final PlotSettings plotSettings) throws InternalPlottingException {
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PlotType plotType = plotSettings.getPlotType();
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final ConcretePlotter plotter;
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switch (plotType) {
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case SCATTER:
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plotter = new ScatterPlot(db, tmpBaseDir, outputDir);
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break;
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case PERCENTILES:
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plotter = new PercentilePlot(db, tmpBaseDir, outputDir);
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break;
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default:
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throw new UnsupportedOperationException("plot of type " + plotType + " not supported.");
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}
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final ScatterPlot plotter = new ScatterPlot(db, tmpBaseDir, outputDir);
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return plotter.plot(plotSettings);
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}
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}
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@@ -11,12 +11,14 @@ import java.nio.file.Files;
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import java.nio.file.LinkOption;
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import java.nio.file.Path;
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import java.time.OffsetDateTime;
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import java.time.format.DateTimeFormatter;
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import java.time.temporal.ChronoUnit;
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import java.util.ArrayList;
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import java.util.Collections;
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import java.util.Formatter;
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import java.util.Iterator;
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import java.util.List;
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import java.util.UUID;
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import java.util.concurrent.TimeUnit;
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import java.util.concurrent.atomic.AtomicInteger;
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import java.util.stream.Stream;
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@@ -24,6 +26,7 @@ import java.util.stream.Stream;
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import org.lucares.pdb.api.Entry;
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import org.lucares.pdb.api.GroupResult;
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import org.lucares.pdb.api.Result;
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import org.lucares.pdb.api.Tags;
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import org.lucares.pdb.plot.api.CustomAggregator;
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import org.lucares.pdb.plot.api.Limit;
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import org.lucares.pdb.plot.api.PlotSettings;
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@@ -32,11 +35,13 @@ import org.lucares.utils.file.FileUtils;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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public class ScatterPlot implements ConcretePlotter {
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public class ScatterPlot {
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private static final Logger LOGGER = LoggerFactory.getLogger(ScatterPlot.class);
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private static final Logger METRICS_LOGGER = LoggerFactory.getLogger("org.lucares.metrics.plotter.scatter");
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static final String DEFAULT_GROUP = "<none>";
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private final PerformanceDb db;
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private final Path tmpBaseDir;
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private final Path outputDir;
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@@ -58,12 +63,11 @@ public class ScatterPlot implements ConcretePlotter {
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return outputDir;
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}
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@Override
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public PlotResult plot(final PlotSettings plotSettings) throws InternalPlottingException {
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LOGGER.trace("start plot: {}", plotSettings);
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final String tmpSubDir = ConcretePlotter.uniqueDirectoryName();
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final String tmpSubDir = uniqueDirectoryName();
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final Path tmpDir = tmpBaseDir.resolve(tmpSubDir);
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try {
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Files.createDirectories(tmpDir);
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@@ -85,7 +89,7 @@ public class ScatterPlot implements ConcretePlotter {
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final CsvSummary csvSummary = toCsv(groupResult, tmpDir, dateFrom, dateTo, plotSettings);
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final int id = idCounter.incrementAndGet();
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final String title = ConcretePlotter.title(groupResult.getGroupedBy(), csvSummary.getValues());
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final String title = title(groupResult.getGroupedBy(), csvSummary.getValues());
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final DataSeries dataSerie = new FileBackedDataSeries(id, title, csvSummary,
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GnuplotLineType.Points);
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if (dataSerie.getValues() > 0) {
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@@ -237,4 +241,31 @@ public class ScatterPlot implements ConcretePlotter {
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return new CsvSummary(dataFile, count, maxValue, aggregator.getAggregatedData());
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}
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static String uniqueDirectoryName() {
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return OffsetDateTime.now().format(DateTimeFormatter.ofPattern("yyyy-MM-dd_HH_mm_ss")) + "_"
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+ UUID.randomUUID().toString();
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}
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static String title(final Tags tags, final int values) {
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final StringBuilder result = new StringBuilder();
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if (tags.isEmpty()) {
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result.append(DEFAULT_GROUP);
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} else {
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tags.forEach((k, v) -> {
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if (result.length() > 0) {
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result.append(" / ");
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}
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result.append(v);
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});
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}
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result.append(" (");
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result.append(String.format("%,d", values));
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result.append(")");
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return result.toString();
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}
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}
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@@ -19,7 +19,6 @@ import org.lucares.pdb.datastore.Proposal;
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import org.lucares.pdb.plot.api.AxisScale;
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import org.lucares.pdb.plot.api.Limit;
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import org.lucares.pdb.plot.api.PlotSettings;
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import org.lucares.pdb.plot.api.PlotType;
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import org.lucares.pdbui.domain.Aggregate;
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import org.lucares.pdbui.domain.AutocompleteProposal;
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import org.lucares.pdbui.domain.AutocompleteProposalByValue;
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@@ -160,7 +159,6 @@ public class PdbController implements HardcodedValues, PropertyKeys {
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@RequestParam(name = "dateFrom", defaultValue = "") final String dateFrom,
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@RequestParam(name = "dateRange", defaultValue = "1 week") final String dateRange,
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@RequestParam(name = "axisScale", defaultValue = "LINEAR") final AxisScale axisScale,
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@RequestParam(name = "plotType", defaultValue = "SCATTER") final PlotType plotType,
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@RequestParam(name = "aggregate", defaultValue = "NONE") final Aggregate aggregate,
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@RequestParam(name = "keyOutside", defaultValue = "false") final boolean keyOutside,
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@RequestParam(name = "width", defaultValue = "1920") final int hidth,
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@@ -181,7 +179,6 @@ public class PdbController implements HardcodedValues, PropertyKeys {
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plotSettings.setDateFrom(dateFrom);
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plotSettings.setDateRange(dateRange);
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plotSettings.setYAxisScale(axisScale);
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plotSettings.setPlotType(plotType);
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plotSettings.setAggregate(PlotSettingsTransformer.toAggregateInternal(aggregate));
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plotSettings.setKeyOutside(keyOutside);
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plotSettings.setGenerateThumbnail(false);
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@@ -21,7 +21,6 @@ class PlotSettingsTransformer {
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result.setDateFrom(request.getDateFrom());
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result.setDateRange(request.getDateRange());
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result.setYAxisScale(request.getAxisScale());
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result.setPlotType(request.getPlotType());
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result.setAggregate(toAggregateInternal(request.getAggregate()));
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result.setKeyOutside(request.isKeyOutside());
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result.setThumbnailMaxWidth(request.getThumbnailMaxWidth());
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@@ -4,7 +4,6 @@ import java.util.List;
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import org.lucares.pdb.plot.api.AxisScale;
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import org.lucares.pdb.plot.api.Limit;
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import org.lucares.pdb.plot.api.PlotType;
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||||
|
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public class PlotRequest {
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private String query;
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@@ -29,8 +28,6 @@ public class PlotRequest {
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private String dateRange;
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private PlotType plotType = PlotType.SCATTER;
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private Aggregate aggregate = Aggregate.NONE;
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private boolean keyOutside;
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@@ -133,14 +130,6 @@ public class PlotRequest {
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this.yAxis = yAxis;
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}
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public PlotType getPlotType() {
|
||||
return plotType;
|
||||
}
|
||||
|
||||
public void setPlotType(final PlotType plotType) {
|
||||
this.plotType = plotType;
|
||||
}
|
||||
|
||||
public void setAggregate(final Aggregate aggregate) {
|
||||
this.aggregate = aggregate;
|
||||
}
|
||||
|
||||
@@ -594,7 +594,6 @@ Vue.component('search-bar', {
|
||||
'dateFrom': data.searchBar.dateFrom,
|
||||
'dateRange': data.searchBar.dateRange,
|
||||
'axisScale': data.searchBar.axisScale,
|
||||
'plotType': data.searchBar.plotType,
|
||||
'aggregate': data.searchBar.aggregate,
|
||||
'keyOutside': data.searchBar.keyOutside,
|
||||
};
|
||||
@@ -683,15 +682,8 @@ Vue.component('search-bar', {
|
||||
</select>
|
||||
</div>
|
||||
|
||||
<div class="group">
|
||||
<label for="plot-type">Type:</label>
|
||||
<select id="plot-type" v-model="searchBar.plotType">
|
||||
<option value="SCATTER">Scatter</option>
|
||||
<option value="PERCENTILES">Percentiles</option>
|
||||
</select>
|
||||
</div>
|
||||
|
||||
<div class="group" id="group-show-aggregate" v-show="searchBar.plotType == 'SCATTER'">
|
||||
<div class="group" id="group-show-aggregate">
|
||||
<label for="show-aggregate">Aggregate:</label>
|
||||
<select id="show-aggregate" v-model="searchBar.aggregate">
|
||||
<option value="NONE">-</option>
|
||||
@@ -778,7 +770,6 @@ var data = {
|
||||
dateFrom: GetURLParameter('dateFrom', Date.now().add({ days: -7 }).toString("yyyy-MM-dd HH:mm:ss")), // '2018-01-05 09:03:00'
|
||||
dateRange: GetURLParameter('dateRange','1 week'),
|
||||
axisScale: GetURLParameter('axisScale','LOG10'),
|
||||
plotType: GetURLParameter('plotType','SCATTER'),
|
||||
aggregate: GetURLParameter('aggregate','NONE'),
|
||||
keyOutside: GetURLParameterBoolean('keyOutside', 'false'),
|
||||
|
||||
@@ -880,7 +871,6 @@ function createRequest(query, generateThumbnail){
|
||||
request['dateFrom'] = data.searchBar.dateFrom;
|
||||
request['dateRange'] = data.searchBar.dateRange;
|
||||
request['axisScale'] = data.searchBar.axisScale;
|
||||
request['plotType'] = data.searchBar.plotType;
|
||||
request['aggregate'] = data.searchBar.aggregate;
|
||||
request['keyOutside'] = data.searchBar.keyOutside;
|
||||
request['generateThumbnail'] = generateThumbnail;
|
||||
@@ -932,7 +922,6 @@ function updateImageLink(query) {
|
||||
'dateFrom': data.searchBar.dateFrom,
|
||||
'dateRange': data.searchBar.dateRange,
|
||||
'axisScale': data.searchBar.axisScale,
|
||||
'plotType': data.searchBar.plotType,
|
||||
'aggregate': data.searchBar.aggregate,
|
||||
'keyOutside': data.searchBar.keyOutside,
|
||||
'width': Math.floor($('#result').width()),
|
||||
|
||||
Reference in New Issue
Block a user