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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, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
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package org.apache.sysds.runtime.transform.decode;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import org.apache.commons.lang.ArrayUtils;
import org.apache.wink.json4j.JSONObject;
import org.apache.sysds.common.Types.ValueType;
import org.apache.sysds.runtime.DMLRuntimeException;
import org.apache.sysds.runtime.matrix.data.FrameBlock;
import org.apache.sysds.runtime.transform.TfUtils.TfMethod;
import org.apache.sysds.runtime.transform.meta.TfMetaUtils;
import org.apache.sysds.runtime.util.UtilFunctions;
import static org.apache.sysds.runtime.util.CollectionUtils.except;
import static org.apache.sysds.runtime.util.CollectionUtils.unionDistinct;
public class DecoderFactory
{
public static Decoder createDecoder(String spec, String[] colnames, ValueType[] schema, FrameBlock meta) {
return createDecoder(spec, colnames, schema, meta, meta.getNumColumns(), -1, -1);
}
public static Decoder createDecoder(String spec, String[] colnames, ValueType[] schema, FrameBlock meta, int clen) {
return createDecoder(spec, colnames, schema, meta, clen, -1, -1);
}
public static Decoder createDecoder(String spec, String[] colnames, ValueType[] schema, FrameBlock meta, int minCol,
int maxCol) {
return createDecoder(spec, colnames, schema, meta, meta.getNumColumns(), minCol, maxCol);
}
public static Decoder createDecoder(String spec, String[] colnames, ValueType[] schema,
FrameBlock meta, int clen, int minCol, int maxCol)
{
Decoder decoder = null;
try {
//parse transform specification
JSONObject jSpec = new JSONObject(spec);
List<Decoder> ldecoders = new ArrayList<>();
//create decoders 'recode', 'dummy' and 'pass-through'
List<Integer> rcIDs = Arrays.asList(ArrayUtils.toObject(
TfMetaUtils.parseJsonIDList(jSpec, colnames, TfMethod.RECODE.toString(), minCol, maxCol)));
List<Integer> dcIDs = Arrays.asList(ArrayUtils.toObject(
TfMetaUtils.parseJsonIDList(jSpec, colnames, TfMethod.DUMMYCODE.toString(), minCol, maxCol)));
rcIDs = unionDistinct(rcIDs, dcIDs);
int len = dcIDs.isEmpty() ? Math.min(meta.getNumColumns(), clen) : meta.getNumColumns();
List<Integer> ptIDs = except(UtilFunctions.getSeqList(1, len, 1), rcIDs);
//create default schema if unspecified (with double columns for pass-through)
if( schema == null ) {
schema = UtilFunctions.nCopies(len, ValueType.STRING);
for( Integer col : ptIDs )
schema[col-1] = ValueType.FP64;
}
if( !dcIDs.isEmpty() ) {
ldecoders.add(new DecoderDummycode(schema,
ArrayUtils.toPrimitive(dcIDs.toArray(new Integer[0]))));
}
if( !rcIDs.isEmpty() ) {
ldecoders.add(new DecoderRecode(schema, !dcIDs.isEmpty(),
ArrayUtils.toPrimitive(rcIDs.toArray(new Integer[0]))));
}
if( !ptIDs.isEmpty() ) {
ldecoders.add(new DecoderPassThrough(schema,
ArrayUtils.toPrimitive(ptIDs.toArray(new Integer[0])),
ArrayUtils.toPrimitive(dcIDs.toArray(new Integer[0]))));
}
//create composite decoder of all created decoders
//and initialize with given meta data (recode, dummy, bin)
decoder = new DecoderComposite(schema, ldecoders);
decoder.setColnames(colnames);
decoder.initMetaData(meta);
}
catch(Exception ex) {
throw new DMLRuntimeException(ex);
}
return decoder;
}
}