Examples with NUM_MIN_SAMPLES org.opensearch.ad.settings.AnomalyDetectorSettings.NUM_MIN_SAMPLES used on opensource projects

Example 1 with NUM_MIN_SAMPLES

use of org.opensearch.ad.settings.AnomalyDetectorSettings.NUM_MIN_SAMPLES in project anomaly-detection by opensearch-project.

the class ADTaskManager method updateLatestRealtimeTaskOnCoordinatingNode.

/**
 * Update realtime task cache on realtime detector's coordinating node.
 *
 * @param detectorId detector id
 * @param state new state
 * @param rcfTotalUpdates rcf total updates
 * @param detectorIntervalInMinutes detector interval in minutes
 * @param error error
 * @param listener action listener
 */
public void updateLatestRealtimeTaskOnCoordinatingNode(String detectorId, String state, Long rcfTotalUpdates, Long detectorIntervalInMinutes, String error, ActionListener<UpdateResponse> listener) {
    Float initProgress = null;
    String newState = null;
    // calculate init progress and task state with RCF total updates
    if (detectorIntervalInMinutes != null && rcfTotalUpdates != null) {
        newState = ADTaskState.INIT.name();
        if (rcfTotalUpdates < NUM_MIN_SAMPLES) {
            initProgress = (float) rcfTotalUpdates / NUM_MIN_SAMPLES;
        } else {
            newState = ADTaskState.RUNNING.name();
            initProgress = 1.0f;
        }
    }
    // Check if new state is not null and override state calculated with rcf total updates
    if (state != null) {
        newState = state;
    }
    error = Optional.ofNullable(error).orElse("");
    if (!adTaskCacheManager.isRealtimeTaskChanged(detectorId, newState, initProgress, error)) {
        // If task not changed, no need to update, just return
        listener.onResponse(null);
        return;
    }
    Map<String, Object> updatedFields = new HashMap<>();
    updatedFields.put(COORDINATING_NODE_FIELD, clusterService.localNode().getId());
    if (initProgress != null) {
        updatedFields.put(INIT_PROGRESS_FIELD, initProgress);
        updatedFields.put(ESTIMATED_MINUTES_LEFT_FIELD, Math.max(0, NUM_MIN_SAMPLES - rcfTotalUpdates) * detectorIntervalInMinutes);
    }
    if (newState != null) {
        updatedFields.put(STATE_FIELD, newState);
    }
    if (error != null) {
        updatedFields.put(ERROR_FIELD, error);
    }
    Float finalInitProgress = initProgress;
    // Variable used in lambda expression should be final or effectively final
    String finalError = error;
    String finalNewState = newState;
    updateLatestADTask(detectorId, ADTaskType.REALTIME_TASK_TYPES, updatedFields, ActionListener.wrap(r -> {
        logger.debug("Updated latest realtime AD task successfully for detector {}", detectorId);
        adTaskCacheManager.updateRealtimeTaskCache(detectorId, finalNewState, finalInitProgress, finalError);
        listener.onResponse(r);
    }, e -> {
        logger.error("Failed to update realtime task for detector " + detectorId, e);
        listener.onFailure(e);
    }));
}

Example 2 with NUM_MIN_SAMPLES

use of org.opensearch.ad.settings.AnomalyDetectorSettings.NUM_MIN_SAMPLES in project anomaly-detection by opensearch-project.

the class ADBatchTaskRunner method getDateRangeOfSourceData.

private void getDateRangeOfSourceData(ADTask adTask, BiConsumer<Long, Long> consumer, ActionListener<String> internalListener) {
    String taskId = adTask.getTaskId();
    SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder().aggregation(AggregationBuilders.min(AGG_NAME_MIN_TIME).field(adTask.getDetector().getTimeField())).aggregation(AggregationBuilders.max(AGG_NAME_MAX_TIME).field(adTask.getDetector().getTimeField())).size(0);
    if (adTask.getEntity() != null && adTask.getEntity().getAttributes().size() > 0) {
        BoolQueryBuilder query = new BoolQueryBuilder();
        adTask.getEntity().getAttributes().entrySet().forEach(entity -> query.filter(new TermQueryBuilder(entity.getKey(), entity.getValue())));
        searchSourceBuilder.query(query);
    }
    SearchRequest request = new SearchRequest().indices(adTask.getDetector().getIndices().toArray(new String[0])).source(searchSourceBuilder);
    client.search(request, ActionListener.wrap(r -> {
        InternalMin minAgg = r.getAggregations().get(AGG_NAME_MIN_TIME);
        InternalMax maxAgg = r.getAggregations().get(AGG_NAME_MAX_TIME);
        double minValue = minAgg.getValue();
        double maxValue = maxAgg.getValue();
        // If time field not exist or there is no value, will return infinity value
        if (minValue == Double.POSITIVE_INFINITY) {
            internalListener.onFailure(new ResourceNotFoundException(adTask.getDetectorId(), "There is no data in the time field"));
            return;
        }
        long interval = ((IntervalTimeConfiguration) adTask.getDetector().getDetectionInterval()).toDuration().toMillis();
        DetectionDateRange detectionDateRange = adTask.getDetectionDateRange();
        long dataStartTime = detectionDateRange.getStartTime().toEpochMilli();
        long dataEndTime = detectionDateRange.getEndTime().toEpochMilli();
        long minDate = (long) minValue;
        long maxDate = (long) maxValue;
        if (minDate >= dataEndTime || maxDate <= dataStartTime) {
            internalListener.onFailure(new ResourceNotFoundException(adTask.getDetectorId(), "There is no data in the detection date range"));
            return;
        }
        if (minDate > dataStartTime) {
            dataStartTime = minDate;
        }
        if (maxDate < dataEndTime) {
            dataEndTime = maxDate;
        }
        // normalize start/end time to make it consistent with feature data agg result
        dataStartTime = dataStartTime - dataStartTime % interval;
        dataEndTime = dataEndTime - dataEndTime % interval;
        logger.debug("adjusted date range: start: {}, end: {}, taskId: {}", dataStartTime, dataEndTime, taskId);
        if ((dataEndTime - dataStartTime) < NUM_MIN_SAMPLES * interval) {
            internalListener.onFailure(new AnomalyDetectionException("There is not enough data to train model").countedInStats(false));
            return;
        }
        consumer.accept(dataStartTime, dataEndTime);
    }, e -> {
        internalListener.onFailure(e);
    }));
}