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/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
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 * See the License for the specific language governing permissions and
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package org.apache.flink.ml.feature.standardscaler;

import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.common.serialization.Encoder;
import org.apache.flink.api.common.typeinfo.TypeInformation;
import org.apache.flink.api.common.typeutils.base.LongSerializer;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.connector.file.src.reader.SimpleStreamFormat;
import org.apache.flink.core.fs.FSDataInputStream;
import org.apache.flink.core.memory.DataInputViewStreamWrapper;
import org.apache.flink.core.memory.DataOutputViewStreamWrapper;
import org.apache.flink.ml.linalg.DenseVector;
import org.apache.flink.ml.linalg.typeinfo.DenseVectorSerializer;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.table.api.Table;
import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;
import org.apache.flink.table.api.internal.TableImpl;
import org.apache.flink.types.Row;

import java.io.EOFException;
import java.io.IOException;
import java.io.OutputStream;

/**
 * Model data of {@link StandardScalerModel}.
 *
 * 

This class also provides methods to convert model data from Table to Datastream, and classes * to save/load model data. */ public class StandardScalerModelData { /** Mean of each dimension. */ public DenseVector mean; /** Standard deviation of each dimension. */ public DenseVector std; /** Model version. */ public long version; /** Model timestamp. */ public long timestamp; public StandardScalerModelData() {} public StandardScalerModelData(DenseVector mean, DenseVector std) { this(mean, std, 0, Long.MAX_VALUE); } public StandardScalerModelData( DenseVector mean, DenseVector std, long version, long timestamp) { this.mean = mean; this.std = std; this.version = version; this.timestamp = timestamp; } /** * Converts the table model to a data stream. * * @param modelData The table model data. * @return The data stream model data. */ public static DataStream getModelDataStream(Table modelData) { StreamTableEnvironment tEnv = (StreamTableEnvironment) ((TableImpl) modelData).getTableEnvironment(); return tEnv.toDataStream(modelData) .map( (MapFunction) row -> new StandardScalerModelData( row.getFieldAs("mean"), row.getFieldAs("std"), row.getFieldAs("version"), row.getFieldAs("timestamp"))) .setParallelism(1); } /** Data encoder for the {@link StandardScalerModel} model data. */ public static class ModelDataEncoder implements Encoder { private final DenseVectorSerializer serializer = new DenseVectorSerializer(); @Override public void encode(StandardScalerModelData modelData, OutputStream outputStream) throws IOException { DataOutputViewStreamWrapper outputViewStreamWrapper = new DataOutputViewStreamWrapper(outputStream); serializer.serialize(modelData.mean, outputViewStreamWrapper); serializer.serialize(modelData.std, outputViewStreamWrapper); LongSerializer.INSTANCE.serialize(modelData.version, outputViewStreamWrapper); LongSerializer.INSTANCE.serialize(modelData.timestamp, outputViewStreamWrapper); } } /** Data decoder for the {@link StandardScalerModel} model data. */ public static class ModelDataDecoder extends SimpleStreamFormat { @Override public Reader createReader( Configuration configuration, FSDataInputStream inputStream) { return new Reader() { private final DenseVectorSerializer serializer = new DenseVectorSerializer(); @Override public StandardScalerModelData read() throws IOException { DataInputViewStreamWrapper inputViewStreamWrapper = new DataInputViewStreamWrapper(inputStream); try { DenseVector mean = serializer.deserialize(inputViewStreamWrapper); DenseVector std = serializer.deserialize(inputViewStreamWrapper); long version = LongSerializer.INSTANCE.deserialize(inputViewStreamWrapper); long timestamp = LongSerializer.INSTANCE.deserialize(inputViewStreamWrapper); return new StandardScalerModelData(mean, std, version, timestamp); } catch (EOFException e) { return null; } } @Override public void close() throws IOException { inputStream.close(); } }; } @Override public TypeInformation getProducedType() { return TypeInformation.of(StandardScalerModelData.class); } } }





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