Examples with MetricConfigDTO com.linkedin.thirdeye.datalayer.dto.MetricConfigDTO used on opensource projects

Example 46 with MetricConfigDTO

use of com.linkedin.thirdeye.datalayer.dto.MetricConfigDTO in project pinot by linkedin.

the class DataResource method getWowSummary.

@GET
@Path("dashboard/wowsummary")
public WowSummary getWowSummary(@QueryParam("dashboard") String dashboard, @QueryParam("timeRanges") String timeRanges) {
    WowSummary wowSummary = new WowSummary();
    if (StringUtils.isBlank(dashboard)) {
        return wowSummary;
    }
    List<Long> metricIds = getMetricIdsByDashboard(dashboard);
    List<String> timeRangeLabels = Lists.newArrayList(timeRanges.split(","));
    // Sort metric's id and metric expression by collections
    Multimap<String, Long> datasetToMetrics = ArrayListMultimap.create();
    Multimap<String, MetricExpression> datasetToMetricExpressions = ArrayListMultimap.create();
    Map<Long, MetricConfigDTO> metricIdToMetricConfig = new HashMap<>();
    for (long metricId : metricIds) {
        MetricConfigDTO metricConfig = metricConfigDAO.findById(metricId);
        metricIdToMetricConfig.put(metricId, metricConfig);
        datasetToMetrics.put(metricConfig.getDataset(), metricId);
        datasetToMetricExpressions.put(metricConfig.getDataset(), ThirdEyeUtils.getMetricExpressionFromMetricConfig(metricConfig));
    }
    Multimap<String, MetricSummary> metricAliasToMetricSummariesMap = ArrayListMultimap.create();
    // Create query request for each collection
    for (String dataset : datasetToMetrics.keySet()) {
        TabularViewRequest request = new TabularViewRequest();
        request.setCollection(dataset);
        request.setMetricExpressions(new ArrayList<>(datasetToMetricExpressions.get(dataset)));
        // user and server's timezone, including daylight saving time.
        for (String timeRangeLabel : timeRangeLabels) {
            DateTimeZone timeZoneForCollection = Utils.getDataTimeZone(dataset);
            TimeRange timeRange = getTimeRangeFromLabel(dataset, timeZoneForCollection, timeRangeLabel);
            long currentEnd = timeRange.getEnd();
            long currentStart = timeRange.getStart();
            System.out.println(timeRangeLabel + "Current start end " + new DateTime(currentStart) + " " + new DateTime(currentEnd));
            TimeGranularity timeGranularity = new TimeGranularity(1, TimeUnit.HOURS);
            request.setBaselineStart(new DateTime(currentStart, timeZoneForCollection).minusDays(7));
            request.setBaselineEnd(new DateTime(currentEnd, timeZoneForCollection).minusDays(7));
            request.setCurrentStart(new DateTime(currentStart, timeZoneForCollection));
            request.setCurrentEnd(new DateTime(currentEnd, timeZoneForCollection));
            request.setTimeGranularity(timeGranularity);
            TabularViewHandler handler = new TabularViewHandler(queryCache);
            try {
                TabularViewResponse tabularViewResponse = handler.process(request);
                for (String metric : tabularViewResponse.getMetrics()) {
                    MetricDataset metricDataset = new MetricDataset(metric, dataset);
                    MetricConfigDTO metricConfig = CACHE_REGISTRY_INSTANCE.getMetricConfigCache().get(metricDataset);
                    Long metricId = metricConfig.getId();
                    String metricAlias = metricConfig.getAlias();
                    GenericResponse response = tabularViewResponse.getData().get(metric);
                    MetricSummary metricSummary = new MetricSummary();
                    metricSummary.setMetricId(metricId);
                    metricSummary.setMetricName(metricConfig.getName());
                    metricSummary.setMetricAlias(metricAlias);
                    List<String[]> data = response.getResponseData();
                    double baselineValue = 0;
                    double currentValue = 0;
                    for (String[] responseData : data) {
                        baselineValue = baselineValue + Double.valueOf(responseData[0]);
                        currentValue = currentValue + Double.valueOf(responseData[1]);
                    }
                    double percentageChange = (currentValue - baselineValue) * 100 / baselineValue;
                    metricSummary.setBaselineValue(baselineValue);
                    metricSummary.setCurrentValue(currentValue);
                    metricSummary.setWowPercentageChange(percentageChange);
                    metricAliasToMetricSummariesMap.put(metricAlias, metricSummary);
                }
            } catch (Exception e) {
                LOG.error("Exception while processing /data/tabular call", e);
            }
        }
    }
    wowSummary.setMetricAliasToMetricSummariesMap(metricAliasToMetricSummariesMap);
    return wowSummary;
}

Example 47 with MetricConfigDTO

use of com.linkedin.thirdeye.datalayer.dto.MetricConfigDTO in project pinot by linkedin.

the class DataResource method getDimensionsForMetric.

@GET
@Path("autocomplete/dimensions/metric/{metricId}")
public List<String> getDimensionsForMetric(@PathParam("metricId") Long metricId) {
    List<String> list = new ArrayList<>();
    list.add("All");
    try {
        MetricConfigDTO metricConfigDTO = metricConfigDAO.findById(metricId);
        DatasetConfigDTO datasetConfigDTO = datasetConfigDAO.findByDataset(metricConfigDTO.getDataset());
        list.addAll(datasetConfigDTO.getDimensions());
    } catch (Exception e) {
        LOG.error(e.getMessage(), e);
    }
    return list;
}

Example 48 with MetricConfigDTO

use of com.linkedin.thirdeye.datalayer.dto.MetricConfigDTO in project pinot by linkedin.

the class DataResource method getMetricSummary.

/**
   * Returns percentage change between current values and baseline values. The values are
   * aggregated according to the number of buckets. If the bucket number is 1, then all values
   * between the given time ranges are sorted to the corresponding bucket and aggregated.
   *
   * Note: For current implementation, we assume the number of buckets is always 1.
   */
@GET
@Path("dashboard/metricsummary")
public List<MetricSummary> getMetricSummary(@QueryParam("dashboard") String dashboard, @QueryParam("timeRange") String timeRange) {
    List<MetricSummary> metricsSummary = new ArrayList<>();
    if (StringUtils.isBlank(dashboard)) {
        return metricsSummary;
    }
    List<Long> metricIds = getMetricIdsByDashboard(dashboard);
    // Sort metric's id and metric expression by collections
    Multimap<String, Long> datasetToMetrics = ArrayListMultimap.create();
    Multimap<String, MetricExpression> datasetToMetricExpressions = ArrayListMultimap.create();
    Map<Long, MetricConfigDTO> metricIdToMetricConfig = new HashMap<>();
    for (long metricId : metricIds) {
        MetricConfigDTO metricConfig = metricConfigDAO.findById(metricId);
        metricIdToMetricConfig.put(metricId, metricConfig);
        datasetToMetrics.put(metricConfig.getDataset(), metricId);
        datasetToMetricExpressions.put(metricConfig.getDataset(), ThirdEyeUtils.getMetricExpressionFromMetricConfig(metricConfig));
    }
    // Create query request for each collection
    for (String dataset : datasetToMetrics.keySet()) {
        TabularViewRequest request = new TabularViewRequest();
        request.setCollection(dataset);
        request.setMetricExpressions(new ArrayList<>(datasetToMetricExpressions.get(dataset)));
        // The input start and end time (i.e., currentStart, currentEnd, baselineStart, and
        // baselineEnd) are given in millisecond since epoch, which is timezone insensitive. On the
        // other hand, the start and end time of the request to be sent to backend database (e.g.,
        // Pinot) could be converted to SimpleDateFormat, which is timezone sensitive. Therefore,
        // we need to store user's start and end time in DateTime objects with data's timezone
        // in order to ensure that the conversion to SimpleDateFormat is always correct regardless
        // user and server's timezone, including daylight saving time.
        String[] tokens = timeRange.split("_");
        TimeGranularity timeGranularity = new TimeGranularity(Integer.valueOf(tokens[0]), TimeUnit.valueOf(tokens[1]));
        long currentEnd = Utils.getMaxDataTimeForDataset(dataset);
        long currentStart = currentEnd - TimeUnit.MILLISECONDS.convert(Long.valueOf(tokens[0]), TimeUnit.valueOf(tokens[1]));
        DateTimeZone timeZoneForCollection = Utils.getDataTimeZone(dataset);
        request.setBaselineStart(new DateTime(currentStart, timeZoneForCollection).minusDays(7));
        request.setBaselineEnd(new DateTime(currentEnd, timeZoneForCollection).minusDays(7));
        request.setCurrentStart(new DateTime(currentStart, timeZoneForCollection));
        request.setCurrentEnd(new DateTime(currentEnd, timeZoneForCollection));
        request.setTimeGranularity(timeGranularity);
        TabularViewHandler handler = new TabularViewHandler(queryCache);
        try {
            TabularViewResponse tabularViewResponse = handler.process(request);
            for (String metric : tabularViewResponse.getMetrics()) {
                MetricDataset metricDataset = new MetricDataset(metric, dataset);
                MetricConfigDTO metricConfig = CACHE_REGISTRY_INSTANCE.getMetricConfigCache().get(metricDataset);
                Long metricId = metricConfig.getId();
                GenericResponse response = tabularViewResponse.getData().get(metric);
                MetricSummary metricSummary = new MetricSummary();
                metricSummary.setMetricId(metricId);
                metricSummary.setMetricName(metricConfig.getName());
                metricSummary.setMetricAlias(metricConfig.getAlias());
                String[] responseData = response.getResponseData().get(0);
                double baselineValue = Double.valueOf(responseData[0]);
                double curentvalue = Double.valueOf(responseData[1]);
                double percentageChange = (curentvalue - baselineValue) * 100 / baselineValue;
                metricSummary.setBaselineValue(baselineValue);
                metricSummary.setCurrentValue(curentvalue);
                metricSummary.setWowPercentageChange(percentageChange);
                AnomaliesSummary anomaliesSummary = anomaliesResoure.getAnomalyCountForMetricInRange(metricId, currentStart, currentEnd);
                metricSummary.setAnomaliesSummary(anomaliesSummary);
                metricsSummary.add(metricSummary);
            }
        } catch (Exception e) {
            LOG.error("Exception while processing /data/tabular call", e);
        }
    }
    return metricsSummary;
}

Example 49 with MetricConfigDTO

use of com.linkedin.thirdeye.datalayer.dto.MetricConfigDTO in project pinot by linkedin.

the class DataResource method getHeatMap.

//------------- HeatMap -----------------
@GET
@Path(value = "heatmap/{metricId}/{currentStart}/{currentEnd}/{baselineStart}/{baselineEnd}")
@Produces(MediaType.APPLICATION_JSON)
public HeatMapViewResponse getHeatMap(@QueryParam("filters") String filters, @PathParam("baselineStart") Long baselineStart, @PathParam("baselineEnd") Long baselineEnd, @PathParam("currentStart") Long currentStart, @PathParam("currentEnd") Long currentEnd, @PathParam("metricId") Long metricId) throws Exception {
    MetricConfigDTO metricConfigDTO = metricConfigDAO.findById(metricId);
    String collection = metricConfigDTO.getDataset();
    String metric = metricConfigDTO.getName();
    HeatMapViewRequest request = new HeatMapViewRequest();
    request.setCollection(collection);
    List<MetricExpression> metricExpressions = Utils.convertToMetricExpressions(metric, MetricAggFunction.SUM, collection);
    request.setMetricExpressions(metricExpressions);
    long maxDataTime = collectionMaxDataTimeCache.get(collection);
    if (currentEnd > maxDataTime) {
        long delta = currentEnd - maxDataTime;
        currentEnd = currentEnd - delta;
        baselineEnd = baselineEnd - delta;
    }
    // See {@link #getDashboardData} for the reason that the start and end time are stored in a
    // DateTime object with data's timezone.
    DateTimeZone timeZoneForCollection = Utils.getDataTimeZone(collection);
    request.setBaselineStart(new DateTime(baselineStart, timeZoneForCollection));
    request.setBaselineEnd(new DateTime(baselineEnd, timeZoneForCollection));
    request.setCurrentStart(new DateTime(currentStart, timeZoneForCollection));
    request.setCurrentEnd(new DateTime(currentEnd, timeZoneForCollection));
    // filter
    if (filters != null && !filters.isEmpty()) {
        filters = URLDecoder.decode(filters, "UTF-8");
        request.setFilters(ThirdEyeUtils.convertToMultiMap(filters));
    }
    HeatMapViewHandler handler = new HeatMapViewHandler(queryCache);
    HeatMapViewResponse response = handler.process(request);
    return response;
}

Example 50 with MetricConfigDTO

use of com.linkedin.thirdeye.datalayer.dto.MetricConfigDTO in project pinot by linkedin.

the class TimeSeriesResource method getTabularData.

/**
   * used when dimension is not passed, i.e. data is requested for all dimensions.
   * @param metricId
   * @param currentStart
   * @param currentEnd
   * @param baselineStart
   * @param baselineEnd
   * @param filters
   * @param granularity
   * @return
   */
private TimeSeriesCompareMetricView getTabularData(long metricId, long currentStart, long currentEnd, long baselineStart, long baselineEnd, String filters, String granularity) {
    TimeSeriesCompareMetricView timeSeriesCompareView = new TimeSeriesCompareMetricView();
    try {
        MetricConfigDTO metricConfigDTO = metricConfigDAO.findById(metricId);
        if (metricConfigDTO != null) {
            String dataset = metricConfigDTO.getDataset();
            TabularViewRequest request = new TabularViewRequest();
            request.setCollection(dataset);
            MetricExpression metricExpression = ThirdEyeUtils.getMetricExpressionFromMetricConfig(metricConfigDTO);
            request.setMetricExpressions(Arrays.asList(metricExpression));
            DateTimeZone timeZoneForCollection = Utils.getDataTimeZone(dataset);
            request.setBaselineStart(new DateTime(baselineStart, timeZoneForCollection));
            request.setBaselineEnd(new DateTime(baselineEnd, timeZoneForCollection));
            request.setCurrentStart(new DateTime(currentStart, timeZoneForCollection));
            request.setCurrentEnd(new DateTime(currentEnd, timeZoneForCollection));
            request.setTimeGranularity(Utils.getAggregationTimeGranularity(granularity, dataset));
            if (filters != null && !filters.isEmpty()) {
                filters = URLDecoder.decode(filters, "UTF-8");
                request.setFilters(ThirdEyeUtils.convertToMultiMap(filters));
            }
            TabularViewHandler handler = new TabularViewHandler(queryCache);
            TabularViewResponse response = handler.process(request);
            timeSeriesCompareView.setStart(currentStart);
            timeSeriesCompareView.setEnd(currentEnd);
            timeSeriesCompareView.setMetricId(metricConfigDTO.getId());
            timeSeriesCompareView.setMetricName(metricConfigDTO.getName());
            List<Long> timeBucketsCurrent = new ArrayList<>();
            List<Long> timeBucketsBaseline = new ArrayList<>();
            int numTimeBuckets = response.getTimeBuckets().size();
            double[] currentValues = new double[numTimeBuckets];
            double[] baselineValues = new double[numTimeBuckets];
            String[] percentageChangeValues = new String[numTimeBuckets];
            double[] cumCurrentValues = new double[numTimeBuckets];
            double[] cumBaselineValues = new double[numTimeBuckets];
            String[] cumPercentageChangeValues = new String[numTimeBuckets];
            int currentValIndex = response.getData().get(metricConfigDTO.getName()).getSchema().getColumnsToIndexMapping().get("currentValue");
            int baselineValIndex = response.getData().get(metricConfigDTO.getName()).getSchema().getColumnsToIndexMapping().get("baselineValue");
            int percentageChangeIndex = response.getData().get(metricConfigDTO.getName()).getSchema().getColumnsToIndexMapping().get("ratio");
            int cumCurrentValIndex = response.getData().get(metricConfigDTO.getName()).getSchema().getColumnsToIndexMapping().get("cumulativeCurrentValue");
            int cumBaselineValIndex = response.getData().get(metricConfigDTO.getName()).getSchema().getColumnsToIndexMapping().get("cumulativeBaselineValue");
            int cumPercentageChangeIndex = response.getData().get(metricConfigDTO.getName()).getSchema().getColumnsToIndexMapping().get("cumulativeRatio");
            for (int i = 0; i < numTimeBuckets; i++) {
                TimeBucket tb = response.getTimeBuckets().get(i);
                timeBucketsCurrent.add(tb.getCurrentStart());
                timeBucketsBaseline.add(tb.getBaselineStart());
                currentValues[i] = Double.valueOf(response.getData().get(metricConfigDTO.getName()).getResponseData().get(i)[currentValIndex]);
                baselineValues[i] = Double.valueOf(response.getData().get(metricConfigDTO.getName()).getResponseData().get(i)[baselineValIndex]);
                percentageChangeValues[i] = response.getData().get(metricConfigDTO.getName()).getResponseData().get(i)[percentageChangeIndex];
                cumCurrentValues[i] = Double.valueOf(response.getData().get(metricConfigDTO.getName()).getResponseData().get(i)[cumCurrentValIndex]);
                cumBaselineValues[i] = Double.valueOf(response.getData().get(metricConfigDTO.getName()).getResponseData().get(i)[cumBaselineValIndex]);
                cumPercentageChangeValues[i] = response.getData().get(metricConfigDTO.getName()).getResponseData().get(i)[cumPercentageChangeIndex];
            }
            timeSeriesCompareView.setTimeBucketsCurrent(timeBucketsCurrent);
            timeSeriesCompareView.setTimeBucketsBaseline(timeBucketsBaseline);
            ValuesContainer values = new ValuesContainer();
            values.setCurrentValues(currentValues);
            values.setBaselineValues(baselineValues);
            values.setPercentageChange(percentageChangeValues);
            values.setCumulativeCurrentValues(cumCurrentValues);
            values.setCumulativeBaselineValues(cumBaselineValues);
            values.setCumulativePercentageChange(cumPercentageChangeValues);
            timeSeriesCompareView.setSubDimensionContributionMap(new LinkedHashMap<>());
            timeSeriesCompareView.getSubDimensionContributionMap().put(ALL, values);
        }
    } catch (Exception e) {
        LOG.error(e.getMessage(), e);
        throw new WebApplicationException(e);
    }
    return timeSeriesCompareView;
}