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Working implementation for indexing inference as a metadata field
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137 changes: 137 additions & 0 deletions
137
...c/main/java/org/elasticsearch/xpack/ml/mapper/SemanticTextInferenceResultFieldMapper.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 | ||
| * 2.0 and the Server Side Public License, v 1; you may not use this file except | ||
| * in compliance with, at your election, the Elastic License 2.0 or the Server | ||
| * Side Public License, v 1. | ||
| */ | ||
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| package org.elasticsearch.xpack.ml.mapper; | ||
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| import org.apache.lucene.search.Query; | ||
| import org.elasticsearch.index.mapper.DocumentParserContext; | ||
| import org.elasticsearch.index.mapper.FieldMapper; | ||
| import org.elasticsearch.index.mapper.MappedFieldType; | ||
| import org.elasticsearch.index.mapper.Mapper; | ||
| import org.elasticsearch.index.mapper.MapperBuilderContext; | ||
| import org.elasticsearch.index.mapper.MetadataFieldMapper; | ||
| import org.elasticsearch.index.mapper.SourceLoader; | ||
| import org.elasticsearch.index.mapper.SourceValueFetcher; | ||
| import org.elasticsearch.index.mapper.TextSearchInfo; | ||
| import org.elasticsearch.index.mapper.ValueFetcher; | ||
| import org.elasticsearch.index.mapper.vectors.SparseVectorFieldMapper; | ||
| import org.elasticsearch.index.mapper.vectors.SparseVectorFieldMapper.SparseVectorFieldType; | ||
| import org.elasticsearch.index.query.SearchExecutionContext; | ||
| import org.elasticsearch.inference.TaskType; | ||
| import org.elasticsearch.xcontent.XContentParser; | ||
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| import java.io.IOException; | ||
| import java.util.Collections; | ||
| import java.util.Map; | ||
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| public class SemanticTextInferenceResultFieldMapper extends MetadataFieldMapper { | ||
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| public static final String CONTENT_TYPE = "semantic_text_inference"; | ||
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| public static final String NAME = "_semantic_text_inference"; | ||
| public static final String SPARSE_VECTOR_SUBFIELD_NAME = TaskType.SPARSE_EMBEDDING.toString(); | ||
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| private static final SemanticTextInferenceResultFieldMapper INSTANCE = new SemanticTextInferenceResultFieldMapper(); | ||
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| private static SemanticTextInferenceResultFieldMapper toType(FieldMapper in) { | ||
| return (SemanticTextInferenceResultFieldMapper) in; | ||
| } | ||
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| public static final TypeParser PARSER = new FixedTypeParser(c -> new SemanticTextInferenceResultFieldMapper()); | ||
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| public static class SemanticTextInferenceFieldType extends MappedFieldType { | ||
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| public static final MappedFieldType INSTANCE = new SemanticTextInferenceFieldType(); | ||
| private SparseVectorFieldType sparseVectorFieldType; | ||
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| public SemanticTextInferenceFieldType() { | ||
| super(NAME, true, false, false, TextSearchInfo.NONE, Collections.emptyMap()); | ||
| } | ||
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| @Override | ||
| public String typeName() { | ||
| return CONTENT_TYPE; | ||
| } | ||
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| @Override | ||
| public ValueFetcher valueFetcher(SearchExecutionContext context, String format) { | ||
| return SourceValueFetcher.identity(name(), context, format); | ||
| } | ||
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| @Override | ||
| public Query termQuery(Object value, SearchExecutionContext context) { | ||
| return sparseVectorFieldType.termQuery(value, context); | ||
| } | ||
| } | ||
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| private SemanticTextInferenceResultFieldMapper() { | ||
| super(SemanticTextInferenceFieldType.INSTANCE); | ||
| } | ||
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| @Override | ||
| public void parse(DocumentParserContext context) throws IOException { | ||
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| if (context.parser().currentToken() != XContentParser.Token.START_OBJECT) { | ||
| throw new IllegalArgumentException( | ||
| "[_semantic_text_inference] fields must be a json object, expected a START_OBJECT but got: " | ||
| + context.parser().currentToken() | ||
| ); | ||
| } | ||
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| MapperBuilderContext mapperBuilderContext = MapperBuilderContext.root(false, false).createChildContext(NAME); | ||
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| // TODO Can we validate that semantic text fields have actual text values? | ||
| for (XContentParser.Token token = context.parser().nextToken(); token != XContentParser.Token.END_OBJECT; token = context.parser() | ||
| .nextToken()) { | ||
| if (token != XContentParser.Token.FIELD_NAME) { | ||
| throw new IllegalArgumentException("[semantic_text] fields expect an object with field names, found " + token); | ||
| } | ||
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| String fieldName = context.parser().currentName(); | ||
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| Mapper mapper = context.getMapper(fieldName); | ||
| if (mapper == null) { | ||
| // Not a field we have mapped? Must be model output, skip it | ||
| context.parser().nextToken(); | ||
| context.path().setWithinLeafObject(true); | ||
| Map<String, Object> fieldMap = context.parser().map(); | ||
| context.path().setWithinLeafObject(false); | ||
| continue; | ||
| } | ||
| if (SemanticTextFieldMapper.CONTENT_TYPE.equals(mapper.typeName()) == false) { | ||
| throw new IllegalArgumentException( | ||
| "Found [" + fieldName + "] in inference values, but it is not registered as a semantic_text field type" | ||
| ); | ||
| } | ||
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| context.parser().nextToken(); | ||
| SparseVectorFieldMapper sparseVectorFieldMapper = new SparseVectorFieldMapper.Builder(fieldName).build(mapperBuilderContext); | ||
| sparseVectorFieldMapper.parse(context); | ||
| } | ||
| } | ||
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| @Override | ||
| protected void parseCreateField(DocumentParserContext context) { | ||
| throw new AssertionError("parse is implemented directly"); | ||
| } | ||
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| @Override | ||
| public SourceLoader.SyntheticFieldLoader syntheticFieldLoader() { | ||
| return SourceLoader.SyntheticFieldLoader.NOTHING; | ||
| } | ||
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| @Override | ||
| protected String contentType() { | ||
| return CONTENT_TYPE; | ||
| } | ||
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| @Override | ||
| public SemanticTextInferenceFieldType fieldType() { | ||
| return (SemanticTextInferenceFieldType) super.fieldType(); | ||
| } | ||
| } |