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// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.searchdefinition.expressiontransforms;
import com.yahoo.searchdefinition.FeatureNames;
import com.yahoo.searchlib.rankingexpression.Reference;
import com.yahoo.searchlib.rankingexpression.evaluation.TensorValue;
import com.yahoo.searchlib.rankingexpression.evaluation.Value;
import com.yahoo.searchlib.rankingexpression.rule.CompositeNode;
import com.yahoo.searchlib.rankingexpression.rule.ExpressionNode;
import com.yahoo.searchlib.rankingexpression.rule.ReferenceNode;
import com.yahoo.searchlib.rankingexpression.transform.ExpressionTransformer;
import java.util.ArrayList;
import java.util.List;
/**
* Transforms named references to constant tensors with the rank feature 'constant'.
*
* @author geirst
*/
public class ConstantTensorTransformer extends ExpressionTransformer<RankProfileTransformContext> {
@Override
public ExpressionNode transform(ExpressionNode node, RankProfileTransformContext context) {
if (node instanceof ReferenceNode) {
return transformFeature((ReferenceNode) node, context);
} else if (node instanceof CompositeNode) {
return transformChildren((CompositeNode) node, context);
} else {
return node;
}
}
private ExpressionNode transformFeature(ReferenceNode node, RankProfileTransformContext context) {
if ( ! node.getArguments().isEmpty() && ! FeatureNames.isSimpleFeature(node.reference())) {
return transformArguments(node, context);
} else {
return transformConstantReference(node, context);
}
}
private ExpressionNode transformArguments(ReferenceNode node, RankProfileTransformContext context) {
List<ExpressionNode> arguments = node.getArguments().expressions();
List<ExpressionNode> transformedArguments = new ArrayList<>(arguments.size());
for (ExpressionNode argument : arguments) {
transformedArguments.add(transform(argument, context));
}
return node.setArguments(transformedArguments);
}
private ExpressionNode transformConstantReference(ReferenceNode node, RankProfileTransformContext context) {
String constantName = node.getName();
Reference constantReference = node.reference();
if (FeatureNames.isConstantFeature(constantReference)) {
constantName = constantReference.simpleArgument().orElse(null);
} else if (constantReference.isIdentifier()) {
constantReference = FeatureNames.asConstantFeature(constantName);
} else {
return node;
}
Value value = context.constants().get(constantName);
if (value == null || value.type().rank() == 0) return node;
TensorValue tensorValue = (TensorValue)value;
String tensorType = tensorValue.asTensor().type().toString();
context.rankProperties().put(constantReference.toString() + ".value", tensorValue.toString());
context.rankProperties().put(constantReference.toString() + ".type", tensorType);
return new ReferenceNode(constantReference);
}
}
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