Examples with AnomalyDetectionException org.opensearch.ad.common.exception.AnomalyDetectionException used on opensource projects

Example 11 with AnomalyDetectionException

use of org.opensearch.ad.common.exception.AnomalyDetectionException in project anomaly-detection by opensearch-project.

the class EntityColdStarterTests method testColdStartException.

public void testColdStartException() throws InterruptedException {
    Queue<double[]> samples = MLUtil.createQueueSamples(1);
    EntityModel model = new EntityModel(entity, samples, null);
    modelState = new ModelState<>(model, modelId, detectorId, ModelType.ENTITY.getName(), clock, priority);
    doAnswer(invocation -> {
        ActionListener<Optional<Long>> listener = invocation.getArgument(2);
        listener.onFailure(new AnomalyDetectionException(detectorId, ""));
        return null;
    }).when(searchFeatureDao).getEntityMinDataTime(any(), any(), any());
    entityColdStarter.trainModel(entity, detectorId, modelState, listener);
    assertTrue(stateManager.getLastDetectionError(detectorId) != null);
    checkSemaphoreRelease();
}

Example 12 with AnomalyDetectionException

use of org.opensearch.ad.common.exception.AnomalyDetectionException in project anomaly-detection by opensearch-project.

the class ADTaskManager method parseEntityFromString.

/**
 * Parse entity string value into Entity {@link Entity} instance.
 * @param entityValue entity value
 * @param adTask AD task
 * @return Entity instance
 */
public Entity parseEntityFromString(String entityValue, ADTask adTask) {
    AnomalyDetector detector = adTask.getDetector();
    if (detector.isMultiCategoryDetector()) {
        try {
            XContentParser parser = XContentType.JSON.xContent().createParser(xContentRegistry, LoggingDeprecationHandler.INSTANCE, entityValue);
            ensureExpectedToken(XContentParser.Token.START_ARRAY, parser.nextToken(), parser);
            return Entity.parse(parser);
        } catch (IOException e) {
            String error = "Failed to parse string into entity";
            logger.debug(error, e);
            throw new AnomalyDetectionException(error);
        }
    } else if (detector.isMultientityDetector()) {
        return Entity.createSingleAttributeEntity(detector.getCategoryField().get(0), entityValue);
    }
    throw new IllegalArgumentException("Fail to parse to Entity for single flow detector");
}

Example 13 with AnomalyDetectionException

use of org.opensearch.ad.common.exception.AnomalyDetectionException 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);
    }));
}

Example 14 with AnomalyDetectionException

use of org.opensearch.ad.common.exception.AnomalyDetectionException in project anomaly-detection by opensearch-project.

the class RCFPollingTransportAction method doExecute.

@Override
protected void doExecute(Task task, RCFPollingRequest request, ActionListener<RCFPollingResponse> listener) {
    String adID = request.getAdID();
    String rcfModelID = SingleStreamModelIdMapper.getRcfModelId(adID, 0);
    Optional<DiscoveryNode> rcfNode = hashRing.getOwningNodeWithSameLocalAdVersionForRealtimeAD(rcfModelID);
    if (!rcfNode.isPresent()) {
        listener.onFailure(new AnomalyDetectionException(adID, NO_NODE_FOUND_MSG));
        return;
    }
    String rcfNodeId = rcfNode.get().getId();
    DiscoveryNode localNode = clusterService.localNode();
    if (localNode.getId().equals(rcfNodeId)) {
        modelManager.getTotalUpdates(rcfModelID, adID, ActionListener.wrap(totalUpdates -> listener.onResponse(new RCFPollingResponse(totalUpdates)), e -> listener.onFailure(new AnomalyDetectionException(adID, FAIL_TO_GET_RCF_UPDATE_MSG, e))));
    } else if (request.remoteAddress() == null) {
        // redirect if request comes from local host.
        // If a request comes from remote machine, it is already redirected.
        // One redirection should be enough.
        // We don't want a potential infinite loop due to any bug and thus give up.
        LOG.info("Sending RCF polling request to {} for model {}", rcfNodeId, rcfModelID);
        try {
            transportService.sendRequest(rcfNode.get(), RCFPollingAction.NAME, request, option, new TransportResponseHandler<RCFPollingResponse>() {

                @Override
                public RCFPollingResponse read(StreamInput in) throws IOException {
                    return new RCFPollingResponse(in);
                }

                @Override
                public void handleResponse(RCFPollingResponse response) {
                    listener.onResponse(response);
                }

                @Override
                public void handleException(TransportException exp) {
                    listener.onFailure(exp);
                }

                @Override
                public String executor() {
                    return ThreadPool.Names.SAME;
                }
            });
        } catch (Exception e) {
            LOG.error(String.format(Locale.ROOT, "Fail to poll RCF models for {}", adID), e);
            listener.onFailure(new AnomalyDetectionException(adID, FAIL_TO_GET_RCF_UPDATE_MSG, e));
        }
    } else {
        LOG.error("Fail to poll rcf for model {} due to an unexpected bug.", rcfModelID);
        listener.onFailure(new AnomalyDetectionException(adID, NO_NODE_FOUND_MSG));
    }
}

Example 15 with AnomalyDetectionException

use of org.opensearch.ad.common.exception.AnomalyDetectionException in project anomaly-detection by opensearch-project.

the class AnomalyResultTransportAction method coldStart.

private void coldStart(AnomalyDetector detector) {
    String detectorId = detector.getDetectorId();
    // If last cold start is not finished, we don't trigger another one
    if (stateManager.isColdStartRunning(detectorId)) {
        return;
    }
    final Releasable coldStartFinishingCallback = stateManager.markColdStartRunning(detectorId);
    ActionListener<Optional<double[][]>> listener = ActionListener.wrap(trainingData -> {
        if (trainingData.isPresent()) {
            double[][] dataPoints = trainingData.get();
            ActionListener<Void> trainModelListener = ActionListener.wrap(res -> {
                LOG.info("Succeeded in training {}", detectorId);
            }, exception -> {
                if (exception instanceof AnomalyDetectionException) {
                    // e.g., partitioned model exceeds memory limit
                    stateManager.setException(detectorId, exception);
                } else if (exception instanceof IllegalArgumentException) {
                    // IllegalArgumentException due to invalid training data
                    stateManager.setException(detectorId, new EndRunException(detectorId, "Invalid training data", exception, false));
                } else if (exception instanceof OpenSearchTimeoutException) {
                    stateManager.setException(detectorId, new InternalFailure(detectorId, "Time out while indexing cold start checkpoint", exception));
                } else {
                    stateManager.setException(detectorId, new EndRunException(detectorId, "Error while training model", exception, false));
                }
            });
            modelManager.trainModel(detector, dataPoints, new ThreadedActionListener<>(LOG, threadPool, AnomalyDetectorPlugin.AD_THREAD_POOL_NAME, trainModelListener, false));
        } else {
            stateManager.setException(detectorId, new EndRunException(detectorId, "Cannot get training data", false));
        }
    }, exception -> {
        if (exception instanceof OpenSearchTimeoutException) {
            stateManager.setException(detectorId, new InternalFailure(detectorId, "Time out while getting training data", exception));
        } else if (exception instanceof AnomalyDetectionException) {
            // e.g., Invalid search query
            stateManager.setException(detectorId, exception);
        } else {
            stateManager.setException(detectorId, new EndRunException(detectorId, "Error while cold start", exception, false));
        }
    });
    final ActionListener<Optional<double[][]>> listenerWithReleaseCallback = ActionListener.runAfter(listener, coldStartFinishingCallback::close);
    threadPool.executor(AnomalyDetectorPlugin.AD_THREAD_POOL_NAME).execute(() -> featureManager.getColdStartData(detector, new ThreadedActionListener<>(LOG, threadPool, AnomalyDetectorPlugin.AD_THREAD_POOL_NAME, listenerWithReleaseCallback, false)));
}