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modules/lang-painless/src/internalClusterTest/java/org/opensearch/painless/TemporaryIT.java
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/* | ||
* SPDX-License-Identifier: Apache-2.0 | ||
* | ||
* The OpenSearch Contributors require contributions made to | ||
* this file be licensed under the Apache-2.0 license or a | ||
* compatible open source license. | ||
*/ | ||
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package org.opensearch.painless; | ||
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import org.opensearch.action.search.SearchResponse; | ||
import org.opensearch.cluster.metadata.IndexMetadata; | ||
import org.opensearch.common.settings.Settings; | ||
import org.opensearch.common.xcontent.XContentFactory; | ||
import org.opensearch.core.xcontent.MediaTypeRegistry; | ||
import org.opensearch.core.xcontent.XContentBuilder; | ||
import org.opensearch.index.query.QueryBuilder; | ||
import org.opensearch.plugins.Plugin; | ||
import org.opensearch.script.Script; | ||
import org.opensearch.script.ScriptType; | ||
import org.opensearch.search.SearchService; | ||
import org.opensearch.search.aggregations.AggregationBuilder; | ||
import org.opensearch.search.aggregations.AggregationBuilders; | ||
import org.opensearch.search.aggregations.bucket.composite.TermsValuesSourceBuilder; | ||
import org.opensearch.search.sort.FieldSortBuilder; | ||
import org.opensearch.search.sort.SortOrder; | ||
import org.opensearch.test.OpenSearchIntegTestCase; | ||
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import java.io.IOException; | ||
import java.util.Collection; | ||
import java.util.Collections; | ||
import java.util.List; | ||
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import static org.opensearch.index.query.QueryBuilders.boolQuery; | ||
import static org.opensearch.index.query.QueryBuilders.termQuery; | ||
import static org.opensearch.search.aggregations.PipelineAggregatorBuilders.bucketSort; | ||
import static org.opensearch.test.hamcrest.OpenSearchAssertions.assertAcked; | ||
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public class TemporaryIT extends OpenSearchIntegTestCase { | ||
@Override | ||
protected Settings nodeSettings(int nodeOrdinal) { | ||
return Settings.builder() | ||
.put(super.nodeSettings(nodeOrdinal)) | ||
.put(SearchService.CLUSTER_CONCURRENT_SEGMENT_SEARCH_SETTING.getKey(), true) | ||
.build(); | ||
} | ||
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@Override | ||
protected Collection<Class<? extends Plugin>> nodePlugins() { | ||
return List.of(PainlessModulePlugin.class); | ||
} | ||
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private void createTestIndex() throws IOException { | ||
XContentBuilder xContentBuilder = XContentFactory.jsonBuilder() | ||
.startObject() | ||
.field("dynamic", "false") | ||
.startObject("_meta") | ||
.field("schema_version", 5) | ||
.endObject() | ||
.startObject("properties") | ||
.startObject("anomaly_grade") | ||
.field("type", "double") | ||
.endObject() | ||
.startObject("anomaly_score") | ||
.field("type", "double") | ||
.endObject() | ||
.startObject("approx_anomaly_start_time") | ||
.field("type", "date") | ||
.field("format", "strict_date_time||epoch_millis") | ||
.endObject() | ||
.startObject("confidence") | ||
.field("type", "double") | ||
.endObject() | ||
.startObject("data_end_time") | ||
.field("type", "date") | ||
.field("format", "strict_date_time||epoch_millis") | ||
.endObject() | ||
.startObject("data_start_time") | ||
.field("type", "date") | ||
.field("format", "strict_date_time||epoch_millis") | ||
.endObject() | ||
.startObject("detector_id") | ||
.field("type", "keyword") | ||
.endObject() | ||
.startObject("entity") | ||
.field("type", "nested") | ||
.startObject("properties") | ||
.startObject("name") | ||
.field("type", "keyword") | ||
.endObject() | ||
.startObject("value") | ||
.field("type", "keyword") | ||
.endObject() | ||
.endObject() | ||
.endObject() | ||
.startObject("error") | ||
.field("type", "text") | ||
.endObject() | ||
.startObject("execution_end_time") | ||
.field("type", "date") | ||
.field("format", "strict_date_time||epoch_millis") | ||
.endObject() | ||
.startObject("execution_start_time") | ||
.field("type", "date") | ||
.field("format", "strict_date_time||epoch_millis") | ||
.endObject() | ||
.startObject("expected_values") | ||
.field("type", "nested") | ||
.startObject("properties") | ||
.startObject("likelihood") | ||
.field("type", "double") | ||
.endObject() | ||
.startObject("value_list") | ||
.field("type", "nested") | ||
.startObject("properties") | ||
.startObject("data") | ||
.field("type", "double") | ||
.endObject() | ||
.startObject("feature_id") | ||
.field("type", "keyword") | ||
.endObject() | ||
.endObject() | ||
.endObject() | ||
.endObject() | ||
.endObject() | ||
.startObject("feature_data") | ||
.field("type", "nested") | ||
.startObject("properties") | ||
.startObject("data") | ||
.field("type", "double") | ||
.endObject() | ||
.startObject("feature_id") | ||
.field("type", "keyword") | ||
.endObject() | ||
.endObject() | ||
.endObject() | ||
.startObject("is_anomaly") | ||
.field("type", "boolean") | ||
.endObject() | ||
.startObject("model_id") | ||
.field("type", "keyword") | ||
.endObject() | ||
.startObject("past_values") | ||
.field("type", "nested") | ||
.startObject("properties") | ||
.startObject("data") | ||
.field("type", "double") | ||
.endObject() | ||
.startObject("feature_id") | ||
.field("type", "keyword") | ||
.endObject() | ||
.endObject() | ||
.endObject() | ||
.startObject("relevant_attribution") | ||
.field("type", "nested") | ||
.startObject("properties") | ||
.startObject("data") | ||
.field("type", "double") | ||
.endObject() | ||
.startObject("feature_id") | ||
.field("type", "keyword") | ||
.endObject() | ||
.endObject() | ||
.endObject() | ||
.startObject("schema_version") | ||
.field("type", "integer") | ||
.endObject() | ||
.startObject("task_id") | ||
.field("type", "keyword") | ||
.endObject() | ||
.startObject("threshold") | ||
.field("type", "double") | ||
.endObject() | ||
.startObject("user") | ||
.field("type", "nested") | ||
.startObject("properties") | ||
.startObject("backend_roles") | ||
.field("type", "text") | ||
.startObject("fields") | ||
.startObject("keyword") | ||
.field("type", "keyword") | ||
.endObject() | ||
.endObject() | ||
.endObject() | ||
.startObject("custom_attribute_names") | ||
.field("type", "text") | ||
.startObject("fields") | ||
.startObject("keyword") | ||
.field("type", "keyword") | ||
.endObject() | ||
.endObject() | ||
.endObject() | ||
.startObject("name") | ||
.field("type", "text") | ||
.startObject("fields") | ||
.startObject("keyword") | ||
.field("type", "keyword") | ||
.field("ignore_above", 256) | ||
.endObject() | ||
.endObject() | ||
.endObject() | ||
.startObject("roles") | ||
.field("type", "text") | ||
.startObject("fields") | ||
.startObject("keyword") | ||
.field("type", "keyword") | ||
.endObject() | ||
.endObject() | ||
.endObject() | ||
.endObject() | ||
.endObject() | ||
.endObject() | ||
.endObject(); | ||
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assertAcked( | ||
prepareCreate("test").setMapping(xContentBuilder) | ||
.setSettings( | ||
Settings.builder().put(IndexMetadata.SETTING_NUMBER_OF_SHARDS, 1).put(IndexMetadata.SETTING_NUMBER_OF_REPLICAS, 0) | ||
) | ||
); | ||
} | ||
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private void indexTestData() { | ||
client().prepareIndex("test") | ||
.setId("gRbUF") | ||
.setSource( | ||
"{\"detector_id\":\"VqbXro0B0N8KJjAbG28Y\",\"schema_version\":0,\"data_start_time\":5,\"data_end_time\":5,\"feature_data\":[{\"feature_id\":\"WQgvo\",\"feature_name\":\"PVhgc\",\"data\":0.9212883816892278},{\"feature_id\":\"JulWB\",\"feature_name\":\"HgOGN\",\"data\":0.27831399526601086}],\"execution_start_time\":5,\"execution_end_time\":5,\"anomaly_score\":0.5,\"anomaly_grade\":0.8,\"confidence\":0.1705822118682151,\"entity\":[{\"name\":\"ip-field\",\"value\":\"1.2.3.4\"},{\"name\":\"keyword-field\",\"value\":\"field-1\"}],\"user\":{\"name\":\"PBJzgZpg\",\"backend_roles\":[\"giOWwAZcpU\"],\"roles\":[\"all_access\"],\"custom_attribute_names\":[\"attribute=test\"],\"user_requested_tenant\":null},\"approx_anomaly_start_time\":1708035355000,\"relevant_attribution\":[{\"feature_id\":\"piyfg\",\"data\":0.7797511350635153},{\"feature_id\":\"pFhPl\",\"data\":0.680814523323366}],\"past_values\":[{\"feature_id\":\"mECeN\",\"data\":0.8577224651498027},{\"feature_id\":\"SSHho\",\"data\":0.36525036781711573}],\"expected_values\":[{\"likelihood\":0.712699398152217,\"value_list\":[{\"feature_id\":\"wOPWI\",\"data\":0.09344528571943234},{\"feature_id\":\"HMZbM\",\"data\":0.8899196238445849}]}],\"threshold\":7.513042281539716}", | ||
MediaTypeRegistry.JSON | ||
) | ||
.get(); | ||
client().prepareIndex("test") | ||
.setId("vWCJa") | ||
.setSource( | ||
"{\"detector_id\":\"VqbXro0B0N8KJjAbG28Y\",\"schema_version\":0,\"data_start_time\":5,\"data_end_time\":5,\"feature_data\":[{\"feature_id\":\"Lmcsm\",\"feature_name\":\"iDXfc\",\"data\":0.9674434291471465},{\"feature_id\":\"qSUQl\",\"feature_name\":\"qbEoF\",\"data\":0.6504223878706881}],\"execution_start_time\":5,\"execution_end_time\":5,\"anomaly_score\":0.5,\"anomaly_grade\":0.5,\"confidence\":0.06614591879270315,\"entity\":[{\"name\":\"ip-field\",\"value\":\"5.6.7.8\"},{\"name\":\"keyword-field\",\"value\":\"field-2\"}],\"user\":{\"name\":\"dJHBbnuu\",\"backend_roles\":[\"HXqCilWVMf\"],\"roles\":[\"all_access\"],\"custom_attribute_names\":[\"attribute=test\"],\"user_requested_tenant\":null},\"approx_anomaly_start_time\":1708035355000,\"relevant_attribution\":[{\"feature_id\":\"Ufhtc\",\"data\":0.08750171412108843},{\"feature_id\":\"uyJWb\",\"data\":0.9333680688095377}],\"past_values\":[{\"feature_id\":\"qskfI\",\"data\":0.970802420410941},{\"feature_id\":\"gYdme\",\"data\":0.847333030542884}],\"expected_values\":[{\"likelihood\":0.001994250912530804,\"value_list\":[{\"feature_id\":\"pnLad\",\"data\":0.1614332721050905},{\"feature_id\":\"BtBBh\",\"data\":0.5734485976838636}]}],\"threshold\":8.580216939299472}", | ||
MediaTypeRegistry.JSON | ||
) | ||
.get(); | ||
client().prepareIndex("test") | ||
.setId("VnVkC") | ||
.setSource( | ||
"{\"detector_id\":\"VqbXro0B0N8KJjAbG28Y\",\"schema_version\":0,\"data_start_time\":5,\"data_end_time\":5,\"feature_data\":[{\"feature_id\":\"IqHwm\",\"feature_name\":\"LCnRh\",\"data\":0.8929177514663842},{\"feature_id\":\"IcaxA\",\"feature_name\":\"HLuxV\",\"data\":0.8975549333747292}],\"execution_start_time\":5,\"execution_end_time\":5,\"anomaly_score\":0.5,\"anomaly_grade\":0.2,\"confidence\":0.06244189871920458,\"entity\":[{\"name\":\"ip-field\",\"value\":\"5.6.7.8\"},{\"name\":\"keyword-field\",\"value\":\"field-2\"}],\"user\":{\"name\":\"IBhQUsrP\",\"backend_roles\":[\"AeewVXqCYO\"],\"roles\":[\"all_access\"],\"custom_attribute_names\":[\"attribute=test\"],\"user_requested_tenant\":null},\"approx_anomaly_start_time\":1708035355000,\"relevant_attribution\":[{\"feature_id\":\"EptJC\",\"data\":0.6875058309428451},{\"feature_id\":\"IKFpg\",\"data\":0.3419015294070341}],\"past_values\":[{\"feature_id\":\"KnVpN\",\"data\":0.7255993126008243},{\"feature_id\":\"NxgkL\",\"data\":0.6884725049479412}],\"expected_values\":[{\"likelihood\":0.7352436055910023,\"value_list\":[{\"feature_id\":\"Cvddb\",\"data\":0.7457298326060673},{\"feature_id\":\"QhtZU\",\"data\":0.7327525344956058}]}],\"threshold\":6.517648854225251}", | ||
MediaTypeRegistry.JSON | ||
) | ||
.get(); | ||
refresh("test"); | ||
} | ||
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public void test() throws Exception { | ||
createTestIndex(); | ||
indexTestData(); | ||
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/** | ||
* curl "localhost:57523/.opendistro-anomaly-results/_search?pretty" -H 'Content-Type: application/json' -d' | ||
* quote> { | ||
* "query": { | ||
* "bool": { | ||
* "filter": { | ||
* "term": { | ||
* "detector_id": "Ue39ro0BJngQavFLX2Q-" | ||
* } | ||
* } | ||
* } | ||
* }, | ||
* "aggs": { | ||
* "multi_buckets": { | ||
* "composite": { | ||
* "sources": [{ | ||
* "keyword-field": { | ||
* "terms": { | ||
* "script": { | ||
* "source": "String value = null; if (params == null || params._source == null || params._source.entity == null) { return \"\"; } for (item in params._source.entity) { if (item[\"name\"] == \"keyword-field\") { value = item['value']; break; } } return value;", | ||
* "lang": "painless" | ||
* } | ||
* } | ||
* } | ||
* }] | ||
* }, | ||
* "aggregations": { | ||
* "max": { | ||
* "max": { | ||
* "field": "anomaly_grade" | ||
* } | ||
* }, | ||
* "multi_buckets_sort": { | ||
* "bucket_sort": { | ||
* "sort": [{ | ||
* "max": { | ||
* "order": "desc" | ||
* } | ||
* }], | ||
* "size": 10 | ||
* } | ||
* } | ||
* } | ||
* } | ||
* } | ||
* }' | ||
*/ | ||
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QueryBuilder query = boolQuery().filter(termQuery("detector_id", "VqbXro0B0N8KJjAbG28Y")); | ||
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AggregationBuilder agg = AggregationBuilders.composite( | ||
"multi_buckets", | ||
Collections.singletonList( | ||
new TermsValuesSourceBuilder("keyword-field").script( | ||
new Script( | ||
ScriptType.INLINE, | ||
"painless", | ||
"String value = null; if (params == null || params._source == null || params._source.entity == null) { return \"\"; } for (item in params._source.entity) { if (item[\"name\"] == \"keyword-field\") { value = item['value']; break; } } return value;", | ||
Collections.emptyMap() | ||
) | ||
) | ||
) | ||
) | ||
.subAggregation(AggregationBuilders.max("max").field("anomaly_grade")) | ||
.subAggregation( | ||
bucketSort("multi_buckets_sort", Collections.singletonList(new FieldSortBuilder("max").order(SortOrder.DESC))).size(10) | ||
); | ||
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// System.out.println(query); | ||
// System.out.println(agg); | ||
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SearchResponse response = client().prepareSearch("test").setQuery(query).addAggregation(agg).get(); | ||
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// System.out.println(response); | ||
} | ||
} |
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