Examples with Output org.opensearch.ml.common.parameter.Output used on opensource projects

Example 1 with Output

use of org.opensearch.ml.common.parameter.Output in project ml-commons by opensearch-project.

the class AnomalyLocalizerImpl method processBaseEntry.

private void processBaseEntry(AnomalyLocalizationInput input, AggregationBuilder agg, AnomalyLocalizationOutput.Result result, AnomalyLocalizationOutput.Bucket bucket, Counter counter, Optional<Map<String, Object>> afterKey, AnomalyLocalizationOutput output, ActionListener<AnomalyLocalizationOutput> listener) {
    SearchRequest request = newSearchRequestForEntry(input, agg, bucket, afterKey);
    client.search(request, wrap(r -> onBaseEntryResponse(r, input, agg, result, bucket, counter, output, listener), listener::onFailure));
}

Example 2 with Output

use of org.opensearch.ml.common.parameter.Output in project ml-commons by opensearch-project.

the class AnomalyLocalizerImpl method onNewEntryResponse.

/**
 * Chooses entities from the new bucket that contribute the most to the overall change.
 */
private void onNewEntryResponse(SearchResponse response, AnomalyLocalizationInput input, AggregationBuilder agg, AnomalyLocalizationOutput.Result result, AnomalyLocalizationOutput.Bucket outputBucket, PriorityQueue<AnomalyLocalizationOutput.Entity> queue, AnomalyLocalizationOutput output, ActionListener<AnomalyLocalizationOutput> listener) {
    Optional<CompositeAggregation> respAgg = Optional.ofNullable(response.getAggregations()).map(aggs -> (CompositeAggregation) aggs.get(agg.getName()));
    for (CompositeAggregation.Bucket bucket : respAgg.map(a -> a.getBuckets()).orElse(Collections.emptyList())) {
        List<String> key = toStringKey(bucket.getKey(), input);
        AnomalyLocalizationOutput.Entity entity = new AnomalyLocalizationOutput.Entity();
        entity.setKey(key);
        entity.setNewValue(getDoubleValue((SingleValue) bucket.getAggregations().get(agg.getName())));
        entity.setBaseValue(outputBucket.getBase().get().getCounter().get().estimate(key));
        entity.setContributionValue(entity.getNewValue() - entity.getBaseValue());
        if (queue.size() < input.getNumOutputs()) {
            queue.add(entity);
        } else if (queue.comparator().compare(queue.peek(), entity) < 0) {
            queue.poll();
            queue.add(entity);
        }
    }
    Optional<Map<String, Object>> afterKey = respAgg.map(r -> r.afterKey());
    if (afterKey.isPresent()) {
        processNewEntry(input, agg, result, outputBucket, afterKey, queue, output, listener);
    } else {
        List<List<String>> keys = queue.stream().map(AnomalyLocalizationOutput.Entity::getKey).collect(Collectors.toList());
        SearchRequest request = newSearchRequestForEntityKeys(input, agg, outputBucket, keys);
        client.search(request, wrap(r -> onEntityKeysResponse(r, input, agg, result, outputBucket, queue, output, listener), listener::onFailure));
    }
}

Example 3 with Output

use of org.opensearch.ml.common.parameter.Output in project ml-commons by opensearch-project.

the class AnomalyLocalizerImpl method getOverallAggregates.

private void getOverallAggregates(AnomalyLocalizationInput input, LocalizationTimeBuckets timeBuckets, AggregationBuilder agg, AnomalyLocalizationOutput output, ActionListener<AnomalyLocalizationOutput> listener) {
    MultiSearchRequest searchRequest = newSearchRequestForOverallAggregates(input, agg, timeBuckets);
    client.multiSearch(searchRequest, wrap(r -> onOverallAggregatesResponse(r, input, agg, output, timeBuckets, listener), listener::onFailure));
}

Example 4 with Output

use of org.opensearch.ml.common.parameter.Output in project ml-commons by opensearch-project.

the class MLExecuteTaskRunner method executeTask.

/**
 * Execute algorithm and return result.
 * TODO: 1. support backend task run; 2. support dispatch task to remote node
 * @param request MLExecuteTaskRequest
 * @param transportService transport service
 * @param listener Action listener
 */
@Override
public void executeTask(MLExecuteTaskRequest request, TransportService transportService, ActionListener<MLExecuteTaskResponse> listener) {
    threadPool.executor(TASK_THREAD_POOL).execute(() -> {
        Input input = request.getInput();
        Output output = MLEngine.execute(input);
        MLExecuteTaskResponse response = MLExecuteTaskResponse.builder().output(output).build();
        listener.onResponse(response);
    });
}

Example 5 with Output

use of org.opensearch.ml.common.parameter.Output in project ml-commons by opensearch-project.

the class MachineLearningNodeClient method execute.

@Override
public void execute(Input input, ActionListener<Output> listener) {
    MLExecuteTaskRequest executeTaskRequest = MLExecuteTaskRequest.builder().input(input).build();
    client.execute(MLExecuteTaskAction.INSTANCE, executeTaskRequest, ActionListener.wrap(response -> {
        listener.onResponse(MLExecuteTaskResponse.fromActionResponse(response).getOutput());
    }, listener::onFailure));
}