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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.document.serialization;
import com.yahoo.document.DataType;
import com.yahoo.document.DocumentTypeManager;
import com.yahoo.document.TensorDataType;
import com.yahoo.document.datatypes.TensorFieldValue;
import com.yahoo.document.update.TensorAddUpdate;
import com.yahoo.document.update.TensorModifyUpdate;
import com.yahoo.document.update.TensorRemoveUpdate;
import com.yahoo.document.update.ValueUpdate;
import com.yahoo.io.GrowableByteBuffer;
import com.yahoo.tensor.TensorType;
/**
* Class used for de-serializing documents on the current head document format.
*
* @author baldersheim
*/
public class VespaDocumentDeserializerHead extends VespaDocumentDeserializer6 {
public VespaDocumentDeserializerHead(DocumentTypeManager manager, GrowableByteBuffer buffer) {
super(manager, buffer);
}
@Override
protected ValueUpdate readTensorModifyUpdate(DataType type) {
byte operationId = getByte(null);
var operation = decodeOperation(operationId);
if (operation == null) {
throw new DeserializationException("Unknown operation id " + operationId + " for tensor modify update");
}
if (!(type instanceof TensorDataType)) {
throw new DeserializationException("Expected tensor data type, got " + type);
}
var createNonExistingCells = decodeCreateNonExistingCells(operationId);
if (createNonExistingCells) {
// Read the default cell value (but it is not used by TensorModifyUpdate).
getDouble(null);
}
TensorDataType tensorDataType = (TensorDataType)type;
TensorType tensorType = tensorDataType.getTensorType();
TensorType convertedType = TensorModifyUpdate.convertDimensionsToMapped(tensorType);
TensorFieldValue tensor = new TensorFieldValue(convertedType);
tensor.deserialize(this);
return new TensorModifyUpdate(operation, tensor, createNonExistingCells);
}
private TensorModifyUpdate.Operation decodeOperation(byte operationId) {
byte OP_MASK = 0b01111111;
return TensorModifyUpdate.Operation.getOperation(operationId & OP_MASK);
}
private boolean decodeCreateNonExistingCells(byte operationId) {
byte CREATE_FLAG = -0b10000000;
return (operationId & CREATE_FLAG) != 0;
}
@Override
protected ValueUpdate readTensorAddUpdate(DataType type) {
if (!(type instanceof TensorDataType)) {
throw new DeserializationException("Expected tensor data type, got " + type);
}
TensorDataType tensorDataType = (TensorDataType)type;
TensorType tensorType = tensorDataType.getTensorType();
TensorFieldValue tensor = new TensorFieldValue(tensorType);
tensor.deserialize(this);
return new TensorAddUpdate(tensor);
}
@Override
protected ValueUpdate readTensorRemoveUpdate(DataType type) {
if (!(type instanceof TensorDataType)) {
throw new DeserializationException("Expected tensor data type, got " + type);
}
TensorDataType tensorDataType = (TensorDataType)type;
TensorType tensorType = tensorDataType.getTensorType();
TensorFieldValue tensor = new TensorFieldValue();
tensor.deserialize(this);
var result = new TensorRemoveUpdate(tensor);
result.verifyCompatibleType(tensorType);
return result;
}
}
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