com.yahoo.schema.expressiontransforms.RankProfileTransformContext Maven / Gradle / Ivy
// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.schema.expressiontransforms;
import ai.vespa.rankingexpression.importer.configmodelview.ImportedMlModels;
import com.yahoo.search.query.profile.QueryProfileRegistry;
import com.yahoo.schema.RankProfile;
import com.yahoo.searchlib.rankingexpression.Reference;
import com.yahoo.searchlib.rankingexpression.evaluation.DoubleValue;
import com.yahoo.searchlib.rankingexpression.evaluation.TensorValue;
import com.yahoo.searchlib.rankingexpression.evaluation.Value;
import com.yahoo.searchlib.rankingexpression.transform.TransformContext;
import com.yahoo.tensor.Tensor;
import com.yahoo.tensor.TensorType;
import java.util.LinkedHashMap;
import java.util.Map;
import java.util.stream.Collectors;
/**
* Extends the transform context with rank profile information
*
* @author bratseth
*/
public class RankProfileTransformContext extends TransformContext {
private final RankProfile rankProfile;
private final QueryProfileRegistry queryProfiles;
private final ImportedMlModels importedModels;
private final Map inlineFunctions;
private final Map rankProperties = new LinkedHashMap<>();
public RankProfileTransformContext(RankProfile rankProfile,
QueryProfileRegistry queryProfiles,
Map featureTypes,
ImportedMlModels importedModels,
Map constants,
Map inlineFunctions) {
super(valuesOf(constants), rankProfile.typeContext(queryProfiles, featureTypes));
this.rankProfile = rankProfile;
this.queryProfiles = queryProfiles;
this.importedModels = importedModels;
this.inlineFunctions = inlineFunctions;
}
public RankProfile rankProfile() { return rankProfile; }
public QueryProfileRegistry queryProfiles() { return queryProfiles; }
public ImportedMlModels importedModels() { return importedModels; }
public Map inlineFunctions() { return inlineFunctions; }
public Map rankProperties() { return rankProperties; }
private static Map valuesOf(Map constants) {
return constants.values().stream()
.filter(constant -> constant.value().isPresent())
.collect(Collectors.toMap(constant -> constant.name().simpleArgument().get(),
constant -> asValue(constant.value().get())));
}
private static Value asValue(Tensor tensor) {
if (tensor.type().rank() == 0)
return DoubleValue.of(tensor.asDouble());
else
return TensorValue.of(tensor);
}
}