|
| 1 | +/* |
| 2 | + * SPDX-License-Identifier: Apache-2.0 |
| 3 | + * |
| 4 | + * The OpenSearch Contributors require contributions made to |
| 5 | + * this file be licensed under the Apache-2.0 license or a |
| 6 | + * compatible open source license. |
| 7 | + */ |
| 8 | + |
| 9 | +package org.opensearch.painless; |
| 10 | + |
| 11 | +import org.opensearch.action.search.SearchResponse; |
| 12 | +import org.opensearch.cluster.metadata.IndexMetadata; |
| 13 | +import org.opensearch.common.settings.Settings; |
| 14 | +import org.opensearch.common.xcontent.XContentFactory; |
| 15 | +import org.opensearch.core.xcontent.MediaTypeRegistry; |
| 16 | +import org.opensearch.core.xcontent.XContentBuilder; |
| 17 | +import org.opensearch.index.query.QueryBuilder; |
| 18 | +import org.opensearch.plugins.Plugin; |
| 19 | +import org.opensearch.script.Script; |
| 20 | +import org.opensearch.script.ScriptType; |
| 21 | +import org.opensearch.search.SearchService; |
| 22 | +import org.opensearch.search.aggregations.AggregationBuilder; |
| 23 | +import org.opensearch.search.aggregations.AggregationBuilders; |
| 24 | +import org.opensearch.search.aggregations.bucket.composite.TermsValuesSourceBuilder; |
| 25 | +import org.opensearch.search.sort.FieldSortBuilder; |
| 26 | +import org.opensearch.search.sort.SortOrder; |
| 27 | +import org.opensearch.test.OpenSearchIntegTestCase; |
| 28 | + |
| 29 | +import java.io.IOException; |
| 30 | +import java.util.Collection; |
| 31 | +import java.util.Collections; |
| 32 | +import java.util.List; |
| 33 | + |
| 34 | +import static org.opensearch.index.query.QueryBuilders.boolQuery; |
| 35 | +import static org.opensearch.index.query.QueryBuilders.termQuery; |
| 36 | +import static org.opensearch.search.aggregations.PipelineAggregatorBuilders.bucketSort; |
| 37 | +import static org.opensearch.test.hamcrest.OpenSearchAssertions.assertAcked; |
| 38 | + |
| 39 | +public class TemporaryIT extends OpenSearchIntegTestCase { |
| 40 | + @Override |
| 41 | + protected Settings nodeSettings(int nodeOrdinal) { |
| 42 | + return Settings.builder() |
| 43 | + .put(super.nodeSettings(nodeOrdinal)) |
| 44 | + .put(SearchService.CLUSTER_CONCURRENT_SEGMENT_SEARCH_SETTING.getKey(), true) |
| 45 | + .build(); |
| 46 | + } |
| 47 | + |
| 48 | + @Override |
| 49 | + protected Collection<Class<? extends Plugin>> nodePlugins() { |
| 50 | + return List.of(PainlessModulePlugin.class); |
| 51 | + } |
| 52 | + |
| 53 | + private void createTestIndex() throws IOException { |
| 54 | + XContentBuilder xContentBuilder = XContentFactory.jsonBuilder().startObject() |
| 55 | + .field("dynamic", "false") |
| 56 | + .startObject("_meta") |
| 57 | + .field("schema_version", 5) |
| 58 | + .endObject() |
| 59 | + .startObject("properties") |
| 60 | + .startObject("anomaly_grade").field("type", "double").endObject() |
| 61 | + .startObject("anomaly_score").field("type", "double").endObject() |
| 62 | + .startObject("approx_anomaly_start_time").field("type", "date").field("format", "strict_date_time||epoch_millis").endObject() |
| 63 | + .startObject("confidence").field("type", "double").endObject() |
| 64 | + .startObject("data_end_time").field("type", "date").field("format", "strict_date_time||epoch_millis").endObject() |
| 65 | + .startObject("data_start_time").field("type", "date").field("format", "strict_date_time||epoch_millis").endObject() |
| 66 | + .startObject("detector_id").field("type", "keyword").endObject() |
| 67 | + .startObject("entity").field("type", "nested") |
| 68 | + .startObject("properties") |
| 69 | + .startObject("name").field("type", "keyword").endObject() |
| 70 | + .startObject("value").field("type", "keyword").endObject() |
| 71 | + .endObject() |
| 72 | + .endObject() |
| 73 | + .startObject("error").field("type", "text").endObject() |
| 74 | + .startObject("execution_end_time").field("type", "date").field("format", "strict_date_time||epoch_millis").endObject() |
| 75 | + .startObject("execution_start_time").field("type", "date").field("format", "strict_date_time||epoch_millis").endObject() |
| 76 | + .startObject("expected_values").field("type", "nested") |
| 77 | + .startObject("properties") |
| 78 | + .startObject("likelihood").field("type", "double").endObject() |
| 79 | + .startObject("value_list").field("type", "nested") |
| 80 | + .startObject("properties") |
| 81 | + .startObject("data").field("type", "double").endObject() |
| 82 | + .startObject("feature_id").field("type", "keyword").endObject() |
| 83 | + .endObject() |
| 84 | + .endObject() |
| 85 | + .endObject() |
| 86 | + .endObject() |
| 87 | + .startObject("feature_data").field("type", "nested") |
| 88 | + .startObject("properties") |
| 89 | + .startObject("data").field("type", "double").endObject() |
| 90 | + .startObject("feature_id").field("type", "keyword").endObject() |
| 91 | + .endObject() |
| 92 | + .endObject() |
| 93 | + .startObject("is_anomaly").field("type", "boolean").endObject() |
| 94 | + .startObject("model_id").field("type", "keyword").endObject() |
| 95 | + .startObject("past_values").field("type", "nested") |
| 96 | + .startObject("properties") |
| 97 | + .startObject("data").field("type", "double").endObject() |
| 98 | + .startObject("feature_id").field("type", "keyword").endObject() |
| 99 | + .endObject() |
| 100 | + .endObject() |
| 101 | + .startObject("relevant_attribution").field("type", "nested") |
| 102 | + .startObject("properties") |
| 103 | + .startObject("data").field("type", "double").endObject() |
| 104 | + .startObject("feature_id").field("type", "keyword").endObject() |
| 105 | + .endObject() |
| 106 | + .endObject() |
| 107 | + .startObject("schema_version").field("type", "integer").endObject() |
| 108 | + .startObject("task_id").field("type", "keyword").endObject() |
| 109 | + .startObject("threshold").field("type", "double").endObject() |
| 110 | + .startObject("user").field("type", "nested") |
| 111 | + .startObject("properties") |
| 112 | + .startObject("backend_roles").field("type", "text").startObject("fields").startObject("keyword").field("type", "keyword").endObject().endObject().endObject() |
| 113 | + .startObject("custom_attribute_names").field("type", "text").startObject("fields").startObject("keyword").field("type", "keyword").endObject().endObject().endObject() |
| 114 | + .startObject("name").field("type", "text").startObject("fields").startObject("keyword").field("type", "keyword").field("ignore_above", 256).endObject().endObject().endObject() |
| 115 | + .startObject("roles").field("type", "text").startObject("fields").startObject("keyword").field("type", "keyword").endObject().endObject().endObject() |
| 116 | + .endObject() |
| 117 | + .endObject() |
| 118 | + .endObject() |
| 119 | + .endObject(); |
| 120 | + |
| 121 | + assertAcked( |
| 122 | + prepareCreate("test") |
| 123 | + .setMapping(xContentBuilder) |
| 124 | + .setSettings( |
| 125 | + Settings.builder() |
| 126 | + .put(IndexMetadata.SETTING_NUMBER_OF_SHARDS, 1) |
| 127 | + .put(IndexMetadata.SETTING_NUMBER_OF_REPLICAS, 0) |
| 128 | + ) |
| 129 | + ); |
| 130 | + } |
| 131 | + |
| 132 | + private void indexTestData() { |
| 133 | + 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(); |
| 134 | + 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(); |
| 135 | + 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(); |
| 136 | + refresh("test"); |
| 137 | + } |
| 138 | + |
| 139 | + public void test() throws Exception { |
| 140 | + createTestIndex(); |
| 141 | + indexTestData(); |
| 142 | + |
| 143 | + /** |
| 144 | + * curl "localhost:57523/.opendistro-anomaly-results/_search?pretty" -H 'Content-Type: application/json' -d' |
| 145 | + * quote> { |
| 146 | + * "query": { |
| 147 | + * "bool": { |
| 148 | + * "filter": { |
| 149 | + * "term": { |
| 150 | + * "detector_id": "Ue39ro0BJngQavFLX2Q-" |
| 151 | + * } |
| 152 | + * } |
| 153 | + * } |
| 154 | + * }, |
| 155 | + * "aggs": { |
| 156 | + * "multi_buckets": { |
| 157 | + * "composite": { |
| 158 | + * "sources": [{ |
| 159 | + * "keyword-field": { |
| 160 | + * "terms": { |
| 161 | + * "script": { |
| 162 | + * "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;", |
| 163 | + * "lang": "painless" |
| 164 | + * } |
| 165 | + * } |
| 166 | + * } |
| 167 | + * }] |
| 168 | + * }, |
| 169 | + * "aggregations": { |
| 170 | + * "max": { |
| 171 | + * "max": { |
| 172 | + * "field": "anomaly_grade" |
| 173 | + * } |
| 174 | + * }, |
| 175 | + * "multi_buckets_sort": { |
| 176 | + * "bucket_sort": { |
| 177 | + * "sort": [{ |
| 178 | + * "max": { |
| 179 | + * "order": "desc" |
| 180 | + * } |
| 181 | + * }], |
| 182 | + * "size": 10 |
| 183 | + * } |
| 184 | + * } |
| 185 | + * } |
| 186 | + * } |
| 187 | + * } |
| 188 | + * }' |
| 189 | + */ |
| 190 | + |
| 191 | + QueryBuilder query = boolQuery().filter( |
| 192 | + termQuery("detector_id", "VqbXro0B0N8KJjAbG28Y") |
| 193 | + ); |
| 194 | + |
| 195 | + AggregationBuilder agg = AggregationBuilders.composite("multi_buckets", |
| 196 | + Collections.singletonList(new TermsValuesSourceBuilder("keyword-field") |
| 197 | + .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())) |
| 198 | + ) |
| 199 | + ).subAggregation( |
| 200 | + AggregationBuilders.max("max").field("anomaly_grade") |
| 201 | + ).subAggregation( |
| 202 | + bucketSort("multi_buckets_sort", Collections.singletonList(new FieldSortBuilder("max").order(SortOrder.DESC))) |
| 203 | + .size(10) |
| 204 | + ); |
| 205 | + |
| 206 | + |
| 207 | + System.out.println(query); |
| 208 | + System.out.println(agg); |
| 209 | + |
| 210 | + SearchResponse response = client().prepareSearch("test") |
| 211 | + .setQuery(query) |
| 212 | + .addAggregation(agg) |
| 213 | + .get(); |
| 214 | + |
| 215 | + System.out.println(response); |
| 216 | + } |
| 217 | +} |
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