[ML] add _cat/ml/trained_models API (elastic#51529)

This adds _cat/ml/trained_models.

x-pack/plugin/core/src/main/java/org/elasticsearch/xpack/core/ml/action/GetTrainedModelsStatsAction.java

@@ -103,6 +103,14 @@ public String getModelId() {
                 return modelId;
             }
 
+            public IngestStats getIngestStats() {
+                return ingestStats;
+            }
+
+            public int getPipelineCount() {
+                return pipelineCount;
+            }
+
             @Override
             public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
                 builder.startObject();

x-pack/plugin/ml/src/main/java/org/elasticsearch/xpack/ml/MachineLearning.java

@@ -259,6 +259,7 @@
 import org.elasticsearch.xpack.ml.rest.calendar.RestPutCalendarJobAction;
 import org.elasticsearch.xpack.ml.rest.cat.RestCatDatafeedsAction;
 import org.elasticsearch.xpack.ml.rest.cat.RestCatJobsAction;
+import org.elasticsearch.xpack.ml.rest.cat.RestCatTrainedModelsAction;
 import org.elasticsearch.xpack.ml.rest.datafeeds.RestDeleteDatafeedAction;
 import org.elasticsearch.xpack.ml.rest.datafeeds.RestGetDatafeedStatsAction;
 import org.elasticsearch.xpack.ml.rest.datafeeds.RestGetDatafeedsAction;
@@ -774,6 +775,7 @@ public List<RestHandler> getRestHandlers(Settings settings, RestController restC
             new RestPutTrainedModelAction(restController),
             // CAT Handlers
             new RestCatJobsAction(restController),
+            new RestCatTrainedModelsAction(restController),
             new RestCatDatafeedsAction(restController)
         );
     }

x-pack/plugin/ml/src/main/java/org/elasticsearch/xpack/ml/dataframe/process/AnalyticsResultProcessor.java

@@ -177,6 +177,7 @@ private TrainedModelConfig createTrainedModelConfig(TrainedModelDefinition.Build
             .setCreatedBy(XPackUser.NAME)
             .setVersion(Version.CURRENT)
             .setCreateTime(createTime)
+            // NOTE: GET _cat/ml/trained_models relies on the creating analytics ID being in the tags
             .setTags(Collections.singletonList(analytics.getId()))
             .setDescription(analytics.getDescription())
             .setMetadata(Collections.singletonMap("analytics_config",

x-pack/plugin/ml/src/main/java/org/elasticsearch/xpack/ml/rest/cat/RestCatTrainedModelsAction.java

@@ -0,0 +1,283 @@
+/*
+ * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
+ * or more contributor license agreements. Licensed under the Elastic License;
+ * you may not use this file except in compliance with the Elastic License.
+ */
+package org.elasticsearch.xpack.ml.rest.cat;
+
+import org.elasticsearch.action.ActionListener;
+import org.elasticsearch.action.ActionResponse;
+import org.elasticsearch.action.support.GroupedActionListener;
+import org.elasticsearch.client.node.NodeClient;
+import org.elasticsearch.cluster.metadata.MetaData;
+import org.elasticsearch.common.Strings;
+import org.elasticsearch.common.Table;
+import org.elasticsearch.common.unit.ByteSizeValue;
+import org.elasticsearch.common.unit.TimeValue;
+import org.elasticsearch.rest.RestController;
+import org.elasticsearch.rest.RestRequest;
+import org.elasticsearch.rest.RestResponse;
+import org.elasticsearch.rest.action.RestResponseListener;
+import org.elasticsearch.rest.action.cat.AbstractCatAction;
+import org.elasticsearch.rest.action.cat.RestTable;
+import org.elasticsearch.xpack.core.action.util.PageParams;
+import org.elasticsearch.xpack.core.ml.action.GetDataFrameAnalyticsAction;
+import org.elasticsearch.xpack.core.ml.action.GetTrainedModelsAction;
+import org.elasticsearch.xpack.core.ml.action.GetTrainedModelsStatsAction;
+import org.elasticsearch.xpack.core.ml.dataframe.DataFrameAnalyticsConfig;
+import org.elasticsearch.xpack.core.ml.dataframe.analyses.DataFrameAnalysis;
+import org.elasticsearch.xpack.core.ml.inference.TrainedModelConfig;
+import org.elasticsearch.xpack.core.security.user.XPackUser;
+
+import java.util.Collection;
+import java.util.Collections;
+import java.util.HashSet;
+import java.util.List;
+import java.util.Map;
+import java.util.Set;
+import java.util.function.Function;
+import java.util.stream.Collectors;
+
+import static org.elasticsearch.rest.RestRequest.Method.GET;
+import static org.elasticsearch.xpack.core.ml.action.GetTrainedModelsAction.Request.ALLOW_NO_MATCH;
+
+public class RestCatTrainedModelsAction extends AbstractCatAction {
+
+    public RestCatTrainedModelsAction(RestController controller) {
+        controller.registerHandler(GET, "_cat/ml/trained_models/{" + TrainedModelConfig.MODEL_ID.getPreferredName() + "}", this);
+        controller.registerHandler(GET, "_cat/ml/trained_models", this);
+    }
+
+    @Override
+    public String getName() {
+        return "cat_ml_get_trained_models_action";
+    }
+
+    @Override
+    protected RestChannelConsumer doCatRequest(RestRequest restRequest, NodeClient client) {
+        String modelId = restRequest.param(TrainedModelConfig.MODEL_ID.getPreferredName());
+        if (Strings.isNullOrEmpty(modelId)) {
+            modelId = MetaData.ALL;
+        }
+        GetTrainedModelsStatsAction.Request statsRequest = new GetTrainedModelsStatsAction.Request(modelId);
+        GetTrainedModelsAction.Request modelsAction = new GetTrainedModelsAction.Request(modelId, false, null);
+        if (restRequest.hasParam(PageParams.FROM.getPreferredName()) || restRequest.hasParam(PageParams.SIZE.getPreferredName())) {
+            statsRequest.setPageParams(new PageParams(restRequest.paramAsInt(PageParams.FROM.getPreferredName(), PageParams.DEFAULT_FROM),
+                restRequest.paramAsInt(PageParams.SIZE.getPreferredName(), PageParams.DEFAULT_SIZE)));
+            modelsAction.setPageParams(new PageParams(restRequest.paramAsInt(PageParams.FROM.getPreferredName(), PageParams.DEFAULT_FROM),
+                restRequest.paramAsInt(PageParams.SIZE.getPreferredName(), PageParams.DEFAULT_SIZE)));
+        }
+        statsRequest.setAllowNoResources(true);
+        modelsAction.setAllowNoResources(restRequest.paramAsBoolean(ALLOW_NO_MATCH.getPreferredName(),
+            statsRequest.isAllowNoResources()));
+
+        return channel -> {
+            final ActionListener<Table> listener = ActionListener.notifyOnce(new RestResponseListener<>(channel) {
+                @Override
+                public RestResponse buildResponse(final Table table) throws Exception {
+                    return RestTable.buildResponse(table, channel);
+                }
+            });
+
+            client.execute(GetTrainedModelsAction.INSTANCE, modelsAction, ActionListener.wrap(
+                trainedModels -> {
+                    final List<TrainedModelConfig> trainedModelConfigs = trainedModels.getResources().results();
+
+                    Set<String> potentialAnalyticsIds = new HashSet<>();
+                    // Analytics Configs are created by the XPackUser
+                    trainedModelConfigs.stream()
+                        .filter(c -> XPackUser.NAME.equals(c.getCreatedBy()))
+                        .forEach(c -> potentialAnalyticsIds.addAll(c.getTags()));
+
+
+                    // Find the related DataFrameAnalyticsConfigs
+                    String requestIdPattern = Strings.collectionToDelimitedString(potentialAnalyticsIds, "*,") + "*";
+
+                    final GroupedActionListener<ActionResponse> groupedListener = createGroupedListener(restRequest,
+                        2,
+                        trainedModels.getResources().results(),
+                        listener);
+
+                    client.execute(GetTrainedModelsStatsAction.INSTANCE,
+                        statsRequest,
+                        ActionListener.wrap(groupedListener::onResponse, groupedListener::onFailure));
+
+                    GetDataFrameAnalyticsAction.Request dataFrameAnalyticsRequest =
+                        new GetDataFrameAnalyticsAction.Request(requestIdPattern);
+                    dataFrameAnalyticsRequest.setAllowNoResources(true);
+                    dataFrameAnalyticsRequest.setPageParams(new PageParams(0, potentialAnalyticsIds.size()));
+                    client.execute(GetDataFrameAnalyticsAction.INSTANCE,
+                        dataFrameAnalyticsRequest,
+                        ActionListener.wrap(groupedListener::onResponse, groupedListener::onFailure));
+                },
+                listener::onFailure
+            ));
+        };
+    }
+
+    @Override
+    protected void documentation(StringBuilder sb) {
+        sb.append("/_cat/ml/trained_models\n");
+        sb.append("/_cat/ml/trained_models/{model_id}\n");
+    }
+
+    @Override
+    protected Table getTableWithHeader(RestRequest request) {
+        Table table = new Table();
+        table.startHeaders();
+
+        // Trained Model Info
+        table.addCell("id", TableColumnAttributeBuilder.builder().setDescription("the trained model id").build());
+        table.addCell("created_by", TableColumnAttributeBuilder.builder("who created the model", false)
+            .setAliases("c", "createdBy")
+            .setTextAlignment(TableColumnAttributeBuilder.TextAlign.RIGHT)
+            .build());
+        table.addCell("heap_size", TableColumnAttributeBuilder.builder()
+            .setDescription("the estimated heap size to keep the model in memory")
+            .setAliases("hs","modelHeapSize")
+            .build());
+        table.addCell("operations", TableColumnAttributeBuilder.builder()
+            .setDescription("the estimated number of operations to use the model")
+            .setAliases("o", "modelOperations")
+            .build());
+        table.addCell("license", TableColumnAttributeBuilder.builder("The license level of the model", false)
+            .setAliases("l")
+            .build());
+        table.addCell("create_time", TableColumnAttributeBuilder.builder("The time the model was created")
+            .setAliases("ct")
+            .build());
+        table.addCell("version", TableColumnAttributeBuilder.builder("The version of Elasticsearch when the model was created", false)
+            .setAliases("v")
+            .build());
+        table.addCell("description", TableColumnAttributeBuilder.builder("The model description", false)
+            .setAliases("d")
+            .build());
+
+        // Trained Model Stats
+        table.addCell("ingest.pipelines", TableColumnAttributeBuilder.builder("The number of pipelines referencing the model")
+            .setAliases("ip", "ingestPipelines")
+            .build());
+        table.addCell("ingest.count", TableColumnAttributeBuilder.builder("The total number of docs processed by the model", false)
+            .setAliases("ic", "ingestCount")
+            .build());
+        table.addCell("ingest.time", TableColumnAttributeBuilder.builder(
+            "The total time spent processing docs with this model",
+            false)
+            .setAliases("it", "ingestTime")
+            .build());
+        table.addCell("ingest.current", TableColumnAttributeBuilder.builder(
+            "The total documents currently being handled by the model",
+            false)
+            .setAliases("icurr", "ingestCurrent")
+            .build());
+        table.addCell("ingest.failed", TableColumnAttributeBuilder.builder(
+            "The total count of failed ingest attempts with this model",
+            false)
+            .setAliases("if", "ingestFailed")
+            .build());
+
+        table.addCell("data_frame.id", TableColumnAttributeBuilder.builder(
+            "The data frame analytics config id that created the model (if still available)")
+            .setAliases("dfid", "dataFrameAnalytics")
+            .build());
+        table.addCell("data_frame.create_time", TableColumnAttributeBuilder.builder(
+            "The time the data frame analytics config was created",
+            false)
+            .setAliases("dft", "dataFrameAnalyticsTime")
+            .build());
+        table.addCell("data_frame.source_index", TableColumnAttributeBuilder.builder(
+            "The source index used to train in the data frame analysis",
+            false)
+            .setAliases("dfsi", "dataFrameAnalyticsSrcIndex")
+            .build());
+        table.addCell("data_frame.analysis", TableColumnAttributeBuilder.builder(
+            "The analysis used by the data frame to build the model",
+            false)
+            .setAliases("dfa", "dataFrameAnalyticsAnalysis")
+            .build());
+
+        table.endHeaders();
+        return table;
+    }
+
+    private GroupedActionListener<ActionResponse> createGroupedListener(final RestRequest request,
+                                                                        final int size,
+                                                                        final List<TrainedModelConfig> configs,
+                                                                        final ActionListener<Table> listener) {
+        return new GroupedActionListener<>(new ActionListener<>() {
+            @Override
+            public void onResponse(final Collection<ActionResponse> responses) {
+                GetTrainedModelsStatsAction.Response statsResponse = extractResponse(responses, GetTrainedModelsStatsAction.Response.class);
+                GetDataFrameAnalyticsAction.Response analytics = extractResponse(responses, GetDataFrameAnalyticsAction.Response.class);
+                listener.onResponse(buildTable(request,
+                    statsResponse.getResources().results(),
+                    configs,
+                    analytics == null ? Collections.emptyList() : analytics.getResources().results()));
+            }
+
+            @Override
+            public void onFailure(final Exception e) {
+                listener.onFailure(e);
+            }
+        }, size);
+    }
+
+
+    private Table buildTable(RestRequest request,
+                             List<GetTrainedModelsStatsAction.Response.TrainedModelStats> stats,
+                             List<TrainedModelConfig> configs,
+                             List<DataFrameAnalyticsConfig> analyticsConfigs) {
+        Table table = getTableWithHeader(request);
+        assert configs.size() == stats.size();
+
+        Map<String, DataFrameAnalyticsConfig> analyticsMap = analyticsConfigs.stream()
+            .collect(Collectors.toMap(DataFrameAnalyticsConfig::getId, Function.identity()));
+        Map<String, GetTrainedModelsStatsAction.Response.TrainedModelStats> statsMap = stats.stream()
+            .collect(Collectors.toMap(GetTrainedModelsStatsAction.Response.TrainedModelStats::getModelId, Function.identity()));
+
+        configs.forEach(config -> {
+            table.startRow();
+            // Trained Model Info
+            table.addCell(config.getModelId());
+            table.addCell(config.getCreatedBy());
+            table.addCell(new ByteSizeValue(config.getEstimatedHeapMemory()));
+            table.addCell(config.getEstimatedOperations());
+            table.addCell(config.getLicenseLevel());
+            table.addCell(config.getCreateTime());
+            table.addCell(config.getVersion().toString());
+            table.addCell(config.getDescription());
+
+            GetTrainedModelsStatsAction.Response.TrainedModelStats modelStats = statsMap.get(config.getModelId());
+            table.addCell(modelStats.getPipelineCount());
+            boolean hasIngestStats = modelStats != null && modelStats.getIngestStats() != null;
+            table.addCell(hasIngestStats ? modelStats.getIngestStats().getTotalStats().getIngestCount() : 0);
+            table.addCell(hasIngestStats ?
+                TimeValue.timeValueMillis(modelStats.getIngestStats().getTotalStats().getIngestTimeInMillis()) :
+                TimeValue.timeValueMillis(0));
+            table.addCell(hasIngestStats ? modelStats.getIngestStats().getTotalStats().getIngestCurrent() : 0);
+            table.addCell(hasIngestStats ? modelStats.getIngestStats().getTotalStats().getIngestFailedCount() : 0);
+
+            DataFrameAnalyticsConfig dataFrameAnalyticsConfig = config.getTags()
+                .stream()
+                .filter(analyticsMap::containsKey)
+                .map(analyticsMap::get)
+                .findFirst()
+                .orElse(null);
+            table.addCell(dataFrameAnalyticsConfig == null ? "__none__" : dataFrameAnalyticsConfig.getId());
+            table.addCell(dataFrameAnalyticsConfig == null ? null : dataFrameAnalyticsConfig.getCreateTime());
+            table.addCell(dataFrameAnalyticsConfig == null ?
+                null :
+                Strings.arrayToCommaDelimitedString(dataFrameAnalyticsConfig.getSource().getIndex()));
+            DataFrameAnalysis analysis = dataFrameAnalyticsConfig == null ? null : dataFrameAnalyticsConfig.getAnalysis();
+            table.addCell(analysis == null ? null : analysis.getWriteableName());
+
+            table.endRow();
+        });
+        return table;
+    }
+
+    @SuppressWarnings("unchecked")
+    private static <A extends ActionResponse> A extractResponse(final Collection<? extends ActionResponse> responses, Class<A> c) {
+        return (A) responses.stream().filter(c::isInstance).findFirst().get();
+    }
+}