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[ML] Add integration test for model plots (#30359)
Relates #30004
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...qa/ml-native-tests/src/test/java/org/elasticsearch/xpack/ml/integration/ModelPlotsIT.java
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/* | ||
* 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.integration; | ||
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import org.elasticsearch.action.bulk.BulkRequestBuilder; | ||
import org.elasticsearch.action.bulk.BulkResponse; | ||
import org.elasticsearch.action.index.IndexRequest; | ||
import org.elasticsearch.action.search.SearchResponse; | ||
import org.elasticsearch.action.support.WriteRequest; | ||
import org.elasticsearch.common.unit.TimeValue; | ||
import org.elasticsearch.index.query.QueryBuilders; | ||
import org.elasticsearch.search.aggregations.AggregationBuilders; | ||
import org.elasticsearch.search.aggregations.bucket.terms.Terms; | ||
import org.elasticsearch.xpack.core.ml.datafeed.DatafeedConfig; | ||
import org.elasticsearch.xpack.core.ml.job.config.AnalysisConfig; | ||
import org.elasticsearch.xpack.core.ml.job.config.DataDescription; | ||
import org.elasticsearch.xpack.core.ml.job.config.Detector; | ||
import org.elasticsearch.xpack.core.ml.job.config.Job; | ||
import org.elasticsearch.xpack.core.ml.job.config.ModelPlotConfig; | ||
import org.junit.After; | ||
import org.junit.Before; | ||
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import java.util.Arrays; | ||
import java.util.List; | ||
import java.util.Set; | ||
import java.util.stream.Collectors; | ||
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import static org.hamcrest.Matchers.containsInAnyOrder; | ||
import static org.hamcrest.Matchers.equalTo; | ||
import static org.hamcrest.Matchers.is; | ||
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public class ModelPlotsIT extends MlNativeAutodetectIntegTestCase { | ||
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private static final String DATA_INDEX = "model-plots-test-data"; | ||
private static final String DATA_TYPE = "doc"; | ||
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@Before | ||
public void setUpData() { | ||
client().admin().indices().prepareCreate(DATA_INDEX) | ||
.addMapping(DATA_TYPE, "time", "type=date,format=epoch_millis", "user", "type=keyword") | ||
.get(); | ||
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List<String> users = Arrays.asList("user_1", "user_2", "user_3"); | ||
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// We are going to create data for last day | ||
long nowMillis = System.currentTimeMillis(); | ||
int totalBuckets = 24; | ||
BulkRequestBuilder bulkRequestBuilder = client().prepareBulk(); | ||
for (int bucket = 0; bucket < totalBuckets; bucket++) { | ||
long timestamp = nowMillis - TimeValue.timeValueHours(totalBuckets - bucket).getMillis(); | ||
for (String user : users) { | ||
IndexRequest indexRequest = new IndexRequest(DATA_INDEX, DATA_TYPE); | ||
indexRequest.source("time", timestamp, "user", user); | ||
bulkRequestBuilder.add(indexRequest); | ||
} | ||
} | ||
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BulkResponse bulkResponse = bulkRequestBuilder | ||
.setRefreshPolicy(WriteRequest.RefreshPolicy.IMMEDIATE) | ||
.get(); | ||
assertThat(bulkResponse.hasFailures(), is(false)); | ||
} | ||
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@After | ||
public void tearDownData() { | ||
client().admin().indices().prepareDelete(DATA_INDEX).get(); | ||
cleanUp(); | ||
} | ||
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public void testPartitionFieldWithoutTerms() throws Exception { | ||
Job.Builder job = jobWithPartitionUser("model-plots-it-test-partition-field-without-terms"); | ||
job.setModelPlotConfig(new ModelPlotConfig()); | ||
putJob(job); | ||
String datafeedId = job.getId() + "-feed"; | ||
DatafeedConfig datafeed = newDatafeed(datafeedId, job.getId()); | ||
registerDatafeed(datafeed); | ||
putDatafeed(datafeed); | ||
openJob(job.getId()); | ||
startDatafeed(datafeedId, 0, System.currentTimeMillis()); | ||
waitUntilJobIsClosed(job.getId()); | ||
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assertThat(getBuckets(job.getId()).size(), equalTo(23)); | ||
Set<String> modelPlotTerms = modelPlotTerms(job.getId(), "partition_field_value"); | ||
assertThat(modelPlotTerms, containsInAnyOrder("user_1", "user_2", "user_3")); | ||
} | ||
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public void testPartitionFieldWithTerms() throws Exception { | ||
Job.Builder job = jobWithPartitionUser("model-plots-it-test-partition-field-with-terms"); | ||
job.setModelPlotConfig(new ModelPlotConfig(true, "user_2,user_3")); | ||
putJob(job); | ||
String datafeedId = job.getId() + "-feed"; | ||
DatafeedConfig datafeed = newDatafeed(datafeedId, job.getId()); | ||
registerDatafeed(datafeed); | ||
putDatafeed(datafeed); | ||
openJob(job.getId()); | ||
startDatafeed(datafeedId, 0, System.currentTimeMillis()); | ||
waitUntilJobIsClosed(job.getId()); | ||
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assertThat(getBuckets(job.getId()).size(), equalTo(23)); | ||
Set<String> modelPlotTerms = modelPlotTerms(job.getId(), "partition_field_value"); | ||
assertThat(modelPlotTerms, containsInAnyOrder("user_2", "user_3")); | ||
} | ||
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public void testByFieldWithTerms() throws Exception { | ||
Job.Builder job = jobWithByUser("model-plots-it-test-by-field-with-terms"); | ||
job.setModelPlotConfig(new ModelPlotConfig(true, "user_2,user_3")); | ||
putJob(job); | ||
String datafeedId = job.getId() + "-feed"; | ||
DatafeedConfig datafeed = newDatafeed(datafeedId, job.getId()); | ||
registerDatafeed(datafeed); | ||
putDatafeed(datafeed); | ||
openJob(job.getId()); | ||
startDatafeed(datafeedId, 0, System.currentTimeMillis()); | ||
waitUntilJobIsClosed(job.getId()); | ||
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assertThat(getBuckets(job.getId()).size(), equalTo(23)); | ||
Set<String> modelPlotTerms = modelPlotTerms(job.getId(), "by_field_value"); | ||
assertThat(modelPlotTerms, containsInAnyOrder("user_2", "user_3")); | ||
} | ||
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private static Job.Builder jobWithPartitionUser(String id) { | ||
Detector.Builder detector = new Detector.Builder(); | ||
detector.setFunction("count"); | ||
detector.setPartitionFieldName("user"); | ||
return newJobBuilder(id, detector.build()); | ||
} | ||
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private static Job.Builder jobWithByUser(String id) { | ||
Detector.Builder detector = new Detector.Builder(); | ||
detector.setFunction("count"); | ||
detector.setByFieldName("user"); | ||
return newJobBuilder(id, detector.build()); | ||
} | ||
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private static Job.Builder newJobBuilder(String id, Detector detector) { | ||
AnalysisConfig.Builder analysisConfig = new AnalysisConfig.Builder(Arrays.asList(detector)); | ||
analysisConfig.setBucketSpan(TimeValue.timeValueHours(1)); | ||
DataDescription.Builder dataDescription = new DataDescription.Builder(); | ||
dataDescription.setTimeField("time"); | ||
Job.Builder jobBuilder = new Job.Builder(id); | ||
jobBuilder.setAnalysisConfig(analysisConfig); | ||
jobBuilder.setDataDescription(dataDescription); | ||
return jobBuilder; | ||
} | ||
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private static DatafeedConfig newDatafeed(String datafeedId, String jobId) { | ||
DatafeedConfig.Builder datafeedConfig = new DatafeedConfig.Builder(datafeedId, jobId); | ||
datafeedConfig.setIndices(Arrays.asList(DATA_INDEX)); | ||
return datafeedConfig.build(); | ||
} | ||
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private Set<String> modelPlotTerms(String jobId, String fieldName) { | ||
SearchResponse searchResponse = client().prepareSearch(".ml-anomalies-" + jobId) | ||
.setQuery(QueryBuilders.termQuery("result_type", "model_plot")) | ||
.addAggregation(AggregationBuilders.terms("model_plot_terms").field(fieldName)) | ||
.get(); | ||
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Terms aggregation = searchResponse.getAggregations().get("model_plot_terms"); | ||
return aggregation.getBuckets().stream().map(agg -> agg.getKeyAsString()).collect(Collectors.toSet()); | ||
} | ||
} |