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zhanghg08jackiehanyang
zhanghg08
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jackiehanyang
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Stat REST API (opensearch-project#6)
* Add RestStatsMLAction and UT * Register Stats REST API in MachineLearningPlugin Decrease line coverage from 0.8 to 0.7 due to this change * Add todo to remind adding more logic to triage stats requests based on node type
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-1
lines changed

4 files changed

+338
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‎plugin/build.gradle

+1-1
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@@ -75,7 +75,7 @@ jacocoTestCoverageVerification {
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rule {
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limit {
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counter = 'LINE'
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minimum = 0.8
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minimum = 0.7
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}
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limit {
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counter = 'BRANCH'

‎plugin/src/main/java/org/opensearch/ml/plugin/MachineLearningPlugin.java

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@@ -16,22 +16,87 @@
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package org.opensearch.ml.plugin;
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import com.google.common.collect.ImmutableMap;
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import org.opensearch.client.Client;
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import org.opensearch.cluster.metadata.IndexNameExpressionResolver;
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import org.opensearch.cluster.node.DiscoveryNodes;
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import org.opensearch.cluster.service.ClusterService;
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import org.opensearch.common.io.stream.NamedWriteableRegistry;
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import org.opensearch.common.settings.ClusterSettings;
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import org.opensearch.common.settings.IndexScopedSettings;
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import org.opensearch.common.settings.Settings;
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import org.opensearch.common.settings.SettingsFilter;
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import org.opensearch.common.xcontent.NamedXContentRegistry;
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import org.opensearch.env.Environment;
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import org.opensearch.env.NodeEnvironment;
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import org.opensearch.ml.action.stats.MLStatsNodesAction;
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import org.opensearch.ml.action.stats.MLStatsNodesTransportAction;
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import org.opensearch.ml.rest.RestStatsMLAction;
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import org.opensearch.ml.stats.MLStat;
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import org.opensearch.ml.stats.MLStats;
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import org.opensearch.ml.stats.StatNames;
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import org.opensearch.ml.stats.suppliers.CounterSupplier;
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import org.opensearch.plugins.ActionPlugin;
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import org.opensearch.plugins.Plugin;
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import org.opensearch.action.ActionRequest;
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import org.opensearch.action.ActionResponse;
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import com.google.common.collect.ImmutableList;
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import org.opensearch.repositories.RepositoriesService;
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import org.opensearch.rest.RestController;
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import org.opensearch.rest.RestHandler;
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import org.opensearch.script.ScriptService;
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import org.opensearch.threadpool.ThreadPool;
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import org.opensearch.watcher.ResourceWatcherService;
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import java.util.Collection;
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import java.util.List;
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import java.util.Map;
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import java.util.function.Supplier;
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public class MachineLearningPlugin extends Plugin implements ActionPlugin {
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public static final String ML_BASE_URI = "/_opendistro/_ml";
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private MLStats mlStats;
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@Override
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public List<ActionHandler<? extends ActionRequest, ? extends ActionResponse>> getActions() {
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return ImmutableList.of(
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new ActionHandler<>(MLStatsNodesAction.INSTANCE,
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MLStatsNodesTransportAction.class)
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);
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}
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@Override
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public Collection<Object> createComponents(Client client, ClusterService clusterService, ThreadPool threadPool,
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ResourceWatcherService resourceWatcherService,
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ScriptService scriptService,
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NamedXContentRegistry xContentRegistry, Environment environment,
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NodeEnvironment nodeEnvironment,
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NamedWriteableRegistry namedWriteableRegistry,
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IndexNameExpressionResolver indexNameExpressionResolver,
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Supplier<RepositoriesService> repositoriesServiceSupplier) {
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Map<String, MLStat<?>> stats = ImmutableMap
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.<String, MLStat<?>>builder()
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.put(StatNames.ML_EXECUTING_TASK_COUNT.getName(), new MLStat<>(false, new CounterSupplier()))
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.build();
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this.mlStats = new MLStats(stats);
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return ImmutableList.of(mlStats);
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}
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@Override
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public List<RestHandler> getRestHandlers(
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Settings settings,
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RestController restController,
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ClusterSettings clusterSettings,
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IndexScopedSettings indexScopedSettings,
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SettingsFilter settingsFilter,
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IndexNameExpressionResolver indexNameExpressionResolver,
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Supplier<DiscoveryNodes> nodesInCluster
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) {
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RestStatsMLAction restStatsMLAction = new RestStatsMLAction(mlStats);
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return ImmutableList
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.of(
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restStatsMLAction
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);
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}
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}

‎plugin/src/main/java/org/opensearch/ml/rest/RestStatsMLAction.java

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package org.opensearch.ml.rest;
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import com.google.common.annotations.VisibleForTesting;
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import org.opensearch.ml.action.stats.MLStatsNodesAction;
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import org.opensearch.ml.action.stats.MLStatsNodesRequest;
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import org.opensearch.ml.stats.MLStats;
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import com.google.common.collect.ImmutableList;
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import org.opensearch.client.node.NodeClient;
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import org.opensearch.rest.BaseRestHandler;
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import org.opensearch.rest.RestRequest;
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import org.opensearch.rest.action.RestToXContentListener;
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import java.util.Arrays;
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import java.util.Collections;
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import java.util.HashSet;
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import java.util.List;
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import java.util.Optional;
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import java.util.Set;
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import java.util.stream.Collectors;
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import static org.opensearch.ml.plugin.MachineLearningPlugin.ML_BASE_URI;
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public class RestStatsMLAction extends BaseRestHandler {
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private static final String STATS_ML_ACTION = "stats_ml";
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private MLStats mlStats;
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/**
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* Constructor
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*
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* @param mlStats MLStats object
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*/
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public RestStatsMLAction(MLStats mlStats) {
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this.mlStats = mlStats;
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}
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@Override
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public String getName() {
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return STATS_ML_ACTION;
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}
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@Override
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public List<Route> routes() {
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return ImmutableList
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.of(
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new Route(RestRequest.Method.GET, ML_BASE_URI + "/{nodeId}/stats/"),
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new Route(RestRequest.Method.GET, ML_BASE_URI + "/{nodeId}/stats/{stat}"),
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new Route(RestRequest.Method.GET, ML_BASE_URI + "/stats/"),
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new Route(RestRequest.Method.GET, ML_BASE_URI + "/stats/{stat}")
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);
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}
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@Override
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protected RestChannelConsumer prepareRequest(RestRequest request, NodeClient client) {
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MLStatsNodesRequest mlStatsNodesRequest = getRequest(request);
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return channel -> client.execute(MLStatsNodesAction.INSTANCE, mlStatsNodesRequest, new RestToXContentListener<>(channel));
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}
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/**
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* Creates a MLStatsNodesRequest from a RestRequest
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*
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* @param request RestRequest
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* @return MLStatsNodesRequest
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*/
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@VisibleForTesting
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MLStatsNodesRequest getRequest(RestRequest request) {
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// todo: add logic to triage request based on node type(ML node or data node)
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MLStatsNodesRequest mlStatsRequest = new MLStatsNodesRequest(
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splitCommaSeparatedParam(request, "nodeId").orElse(null));
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mlStatsRequest.timeout(request.param("timeout"));
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List<String> requestedStats =
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splitCommaSeparatedParam(request, "stat")
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.map(Arrays::asList)
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.orElseGet(Collections::emptyList);
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Set<String> validStats = mlStats.getStats().keySet();
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if (isAllStatsRequested(requestedStats)) {
80+
mlStatsRequest.addAll(validStats);
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} else {
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mlStatsRequest.addAll(getStatsToBeRetrieved(request, validStats, requestedStats));
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}
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return mlStatsRequest;
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}
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@VisibleForTesting
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Set<String> getStatsToBeRetrieved(
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RestRequest request, Set<String> validStats, List<String> requestedStats) {
91+
if (requestedStats.contains(MLStatsNodesRequest.ALL_STATS_KEY)) {
92+
throw new IllegalArgumentException(
93+
String.format("Request %s contains both %s and individual stats",
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request.path(), MLStatsNodesRequest.ALL_STATS_KEY));
95+
}
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Set<String> invalidStats =
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requestedStats.stream()
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.filter(s -> !validStats.contains(s))
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.collect(Collectors.toSet());
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if (!invalidStats.isEmpty()) {
103+
throw new IllegalArgumentException(
104+
unrecognized(request, invalidStats, new HashSet<>(requestedStats), "stat"));
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}
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return new HashSet<>(requestedStats);
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}
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@VisibleForTesting
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boolean isAllStatsRequested(List<String> requestedStats) {
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return requestedStats.isEmpty()
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|| (requestedStats.size() == 1 && requestedStats.contains(MLStatsNodesRequest.ALL_STATS_KEY));
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}
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@VisibleForTesting
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Optional<String[]> splitCommaSeparatedParam(RestRequest request, String paramName) {
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return Optional.ofNullable(request.param(paramName))
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.map(s -> s.split(","));
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}
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}

‎plugin/src/test/java/org/opensearch/ml/rest/RestStatsMLActionTests.java

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package org.opensearch.ml.rest;
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import com.google.common.collect.ImmutableMap;
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import org.junit.Before;
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import org.junit.Rule;
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import org.junit.Test;
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import org.junit.Assert;
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import org.junit.rules.ExpectedException;
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import org.opensearch.ml.action.stats.MLStatsNodesRequest;
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import org.opensearch.ml.plugin.MachineLearningPlugin;
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import org.opensearch.ml.stats.MLStat;
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import org.opensearch.ml.stats.MLStats;
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import org.opensearch.ml.stats.StatNames;
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import org.opensearch.ml.stats.suppliers.CounterSupplier;
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import org.opensearch.rest.RestRequest;
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import org.opensearch.test.OpenSearchTestCase;
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import org.opensearch.test.rest.FakeRestRequest;
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import java.util.ArrayList;
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import java.util.Arrays;
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import java.util.HashSet;
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import java.util.List;
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import java.util.Map;
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import java.util.Optional;
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import java.util.Set;
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public class RestStatsMLActionTests extends OpenSearchTestCase {
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@Rule
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public ExpectedException thrown= ExpectedException.none();
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RestStatsMLAction restAction;
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MLStats mlStats;
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@Before
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public void setup() {
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Map<String, MLStat<?>> statMap = ImmutableMap
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.<String, MLStat<?>>builder()
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.put(StatNames.ML_EXECUTING_TASK_COUNT.getName(), new MLStat<>(false, new CounterSupplier()))
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.build();
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mlStats = new MLStats(statMap);
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restAction = new RestStatsMLAction(mlStats);
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}
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@Test
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public void testsplitCommaSeparatedParam() {
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Map<String, String> param = ImmutableMap
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.<String, String>builder()
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.put("nodeId", "111,222")
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.build();
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FakeRestRequest fakeRestRequest = new FakeRestRequest.Builder(xContentRegistry())
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.withMethod(RestRequest.Method.GET)
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.withPath(MachineLearningPlugin.ML_BASE_URI + "/{nodeId}/stats/")
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.withParams(param)
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.build();
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Optional<String[]> nodeId = restAction.splitCommaSeparatedParam(fakeRestRequest, "nodeId");
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String[] array = nodeId.get();
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Assert.assertEquals(array[0], "111");
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Assert.assertEquals(array[1], "222");
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}
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@Test
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public void testIsAllStatsRequested() {
65+
List<String> requestedStats1 = new ArrayList<>(Arrays.asList("stat1", "stat2"));
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Assert.assertTrue(!restAction.isAllStatsRequested(requestedStats1));
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List<String> requestedStats2 = new ArrayList<>();
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Assert.assertTrue(restAction.isAllStatsRequested(requestedStats2));
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List<String> requestedStats3 = new ArrayList<>(Arrays.asList(MLStatsNodesRequest.ALL_STATS_KEY));
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Assert.assertTrue(restAction.isAllStatsRequested(requestedStats3));
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}
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@Test
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public void testStatsSetContainsAllStatsKey() {
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thrown.expect(IllegalArgumentException.class);
76+
thrown.expectMessage(MLStatsNodesRequest.ALL_STATS_KEY);
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FakeRestRequest fakeRestRequest = new FakeRestRequest.Builder(xContentRegistry())
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.withMethod(RestRequest.Method.GET)
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.withPath(MachineLearningPlugin.ML_BASE_URI + "/{nodeId}/stats/")
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.build();
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Set<String> validStats = new HashSet<>();
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validStats.add("stat1");
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validStats.add("stat2");
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List<String> requestedStats = new ArrayList<>(Arrays.asList("stat1", "stat2",MLStatsNodesRequest.ALL_STATS_KEY));
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restAction.getStatsToBeRetrieved(fakeRestRequest, validStats, requestedStats);
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}
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@Test
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public void testStatsSetContainsInvalidStats() {
90+
thrown.expect(IllegalArgumentException.class);
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thrown.expectMessage("unrecognized");
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FakeRestRequest fakeRestRequest = new FakeRestRequest.Builder(xContentRegistry())
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.withMethod(RestRequest.Method.GET)
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.withPath(MachineLearningPlugin.ML_BASE_URI + "/{nodeId}/stats/")
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.build();
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Set<String> validStats = new HashSet<>();
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validStats.add("stat1");
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validStats.add("stat2");
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List<String> requestedStats = new ArrayList<>(Arrays.asList("stat1", "stat2","invalidStat"));
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restAction.getStatsToBeRetrieved(fakeRestRequest, validStats, requestedStats);
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}
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@Test
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public void testGetRequestAllStats() {
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Map<String, String> param = ImmutableMap
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.<String, String>builder()
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.put("nodeId", "111,222")
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.put("stat", MLStatsNodesRequest.ALL_STATS_KEY)
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.build();
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FakeRestRequest fakeRestRequest = new FakeRestRequest.Builder(xContentRegistry())
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.withMethod(RestRequest.Method.GET)
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.withPath(MachineLearningPlugin.ML_BASE_URI + "/{nodeId}/stats/{stat}")
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.withParams(param)
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.build();
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MLStatsNodesRequest request = restAction.getRequest(fakeRestRequest);
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Assert.assertEquals(request.getStatsToBeRetrieved().size(), 1);
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Assert.assertTrue(request.getStatsToBeRetrieved().contains(StatNames.ML_EXECUTING_TASK_COUNT.getName()));
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}
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@Test
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public void testGetRequestEmptyStats() {
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Map<String, String> param = ImmutableMap
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.<String, String>builder()
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.put("nodeId", "111,222")
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.build();
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FakeRestRequest fakeRestRequest = new FakeRestRequest.Builder(xContentRegistry())
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.withMethod(RestRequest.Method.GET)
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.withPath(MachineLearningPlugin.ML_BASE_URI + "/{nodeId}/stats/")
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.withParams(param)
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.build();
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MLStatsNodesRequest request = restAction.getRequest(fakeRestRequest);
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Assert.assertEquals(request.getStatsToBeRetrieved().size(), 1);
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Assert.assertTrue(request.getStatsToBeRetrieved().contains(StatNames.ML_EXECUTING_TASK_COUNT.getName()));
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}
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@Test
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public void testGetRequestSpecifyStats() {
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Map<String, String> param = ImmutableMap
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.<String, String>builder()
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.put("nodeId", "111,222")
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.put("stat", StatNames.ML_EXECUTING_TASK_COUNT.getName())
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.build();
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FakeRestRequest fakeRestRequest = new FakeRestRequest.Builder(xContentRegistry())
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.withMethod(RestRequest.Method.GET)
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.withPath(MachineLearningPlugin.ML_BASE_URI + "/{nodeId}/stats/{stat}")
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.withParams(param)
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.build();
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MLStatsNodesRequest request = restAction.getRequest(fakeRestRequest);
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Assert.assertEquals(request.getStatsToBeRetrieved().size(), 1);
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Assert.assertTrue(request.getStatsToBeRetrieved().contains(StatNames.ML_EXECUTING_TASK_COUNT.getName()));
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}
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}

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