summaryrefslogtreecommitdiffstats
path: root/vespajlib/src/main/java/com/yahoo/tensor/serialization/JsonFormat.java
blob: 2233622db3ea582e884cb004772e824a8d970b59 (plain) (blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
// Copyright 2018 Yahoo Holdings. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.tensor.serialization;

import com.yahoo.lang.MutableInteger;
import com.yahoo.slime.ArrayTraverser;
import com.yahoo.slime.Cursor;
import com.yahoo.slime.Inspector;
import com.yahoo.slime.JsonDecoder;
import com.yahoo.slime.ObjectTraverser;
import com.yahoo.slime.Slime;
import com.yahoo.slime.Type;
import com.yahoo.tensor.IndexedTensor;
import com.yahoo.tensor.MixedTensor;
import com.yahoo.tensor.Tensor;
import com.yahoo.tensor.TensorAddress;
import com.yahoo.tensor.TensorType;

import java.util.Iterator;

/**
 * Writes tensors on the JSON format used in Vespa tensor document fields:
 * A JSON map containing a 'cells' or 'values' array.
 * See a http://docs.vespa.ai/documentation/reference/document-json-put-format.html#tensor
 *
 * @author bratseth
 */
public class JsonFormat {

    /** Serializes the given tensor value into JSON format */
    public static byte[] encode(Tensor tensor) {
        Slime slime = new Slime();
        Cursor root = slime.setObject();
        encodeCells(tensor, root);
        return com.yahoo.slime.JsonFormat.toJsonBytes(slime);
    }

    /** Serializes the given tensor type and value into JSON format */
    public static byte[] encodeWithType(Tensor tensor) {
        Slime slime = new Slime();
        Cursor root = slime.setObject();
        root.setString("type", tensor.type().toString());
        encodeCells(tensor, root);
        return com.yahoo.slime.JsonFormat.toJsonBytes(slime);
    }

    private static void encodeCells(Tensor tensor, Cursor rootObject) {
        Cursor cellsArray = rootObject.setArray("cells");
        for (Iterator<Tensor.Cell> i = tensor.cellIterator(); i.hasNext(); ) {
            Tensor.Cell cell = i.next();
            Cursor cellObject = cellsArray.addObject();
            encodeAddress(tensor.type(), cell.getKey(), cellObject.setObject("address"));
            cellObject.setDouble("value", cell.getValue());
        }
    }

    private static void encodeAddress(TensorType type, TensorAddress address, Cursor addressObject) {
        for (int i = 0; i < address.size(); i++)
            addressObject.setString(type.dimensions().get(i).name(), address.label(i));
    }

    /** Deserializes the given tensor from JSON format */
    // NOTE: This must be kept in sync with com.yahoo.document.json.readers.TensorReader in the document module
    public static Tensor decode(TensorType type, byte[] jsonTensorValue) {
        Tensor.Builder builder = Tensor.Builder.of(type);
        Inspector root = new JsonDecoder().decode(new Slime(), jsonTensorValue).get();

        if (root.field("cells").valid())
            decodeCells(root.field("cells"), builder);
        else if (root.field("values").valid())
            decodeValues(root.field("values"), builder);
        else if (builder.type().dimensions().stream().anyMatch(d -> d.isIndexed())) // sparse can be empty
            throw new IllegalArgumentException("Expected a tensor value to contain either 'cells' or 'values'");
        return builder.build();
    }

    private static void decodeCells(Inspector cells, Tensor.Builder builder) {
        if ( cells.type() != Type.ARRAY)
            throw new IllegalArgumentException("Excepted 'cells' to contain an array, not " + cells.type());
        cells.traverse((ArrayTraverser) (__, cell) -> decodeCellOrCells(cell, builder));
    }

    private static void decodeCellOrCells(Inspector cell, Tensor.Builder builder) {
        Inspector value = cell.field("value");
        if (value.type() == Type.LONG || value.type() == Type.DOUBLE) {
            decodeCell(cell.field("address"), value, builder.cell());
        }
        else {
            Inspector values = cell.field("values");
            if (values.type() == Type.ARRAY)
                decodeValueBlock(cell.field("address"), values, builder);
            else
                throw new IllegalArgumentException("Expected a cell to contain a numeric 'value' or an array 'values'");
        }
    }

    private static void decodeCell(Inspector address, Inspector value, Tensor.Builder.CellBuilder cellBuilder) {
        if ( address.type() != Type.OBJECT)
            throw new IllegalArgumentException("Excepted a cell to contain an object called 'address'");
        address.traverse((ObjectTraverser) (dimension, label) -> cellBuilder.label(dimension, label.asString()));
        cellBuilder.value(value.asDouble());
    }

    private static void decodeValueBlock(Inspector address, Inspector valuesBlock, Tensor.Builder builder) {
        if ( ! (builder instanceof MixedTensor.BoundBuilder))
            throw new IllegalArgumentException("Sending 'values' in 'cells' is only permissible with a mixed tensor " +
                                               "type with bound indexed dimensions, but the type is " +
                                               builder.type());
        MixedTensor.BoundBuilder mixedBuilder = (MixedTensor.BoundBuilder)builder;

        if (address.type() != Type.OBJECT)
            throw new IllegalArgumentException("Expected a cell to contain an object called 'address'");
        TensorAddress.Builder sparseAddress = new TensorAddress.Builder(mixedBuilder.type().mappedSubtype());
        address.traverse((ObjectTraverser) (dimension, label) -> sparseAddress.add(dimension, label.asString()));

        double[] values = new double[(int)mixedBuilder.denseSubspaceSize()];
        valuesBlock.traverse((ArrayTraverser) (index, value) -> values[index] = value.asDouble());

        mixedBuilder.block(sparseAddress.build(), values);
    }

    private static void decodeValues(Inspector values, Tensor.Builder builder) {
        if ( ! (builder instanceof IndexedTensor.BoundBuilder))
            throw new IllegalArgumentException("The 'values' field can only be used with dense tensors. " +
                                               "Use 'cells' instead");
        if ( values.type() != Type.ARRAY)
            throw new IllegalArgumentException("Excepted 'values' to contain an array, not " + values.type());

        IndexedTensor.BoundBuilder indexedBuilder = (IndexedTensor.BoundBuilder)builder;
        MutableInteger index = new MutableInteger(0);
        values.traverse((ArrayTraverser) (__, value) -> {
            if (value.type() != Type.LONG && value.type() != Type.DOUBLE)
                throw new IllegalArgumentException("Excepted the values array to contain numbers, not " + value.type());
            indexedBuilder.cellByDirectIndex(index.next(), value.asDouble());
        });
    }

}