org.djutils.data.json.JsonData Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of djutils-data Show documentation
Show all versions of djutils-data Show documentation
DJUTILS sampling and output data storage utilities
The newest version!
package org.djutils.data.json;
import java.io.FileReader;
import java.io.FileWriter;
import java.io.IOException;
import java.io.Reader;
import java.io.Writer;
import java.util.ArrayList;
import java.util.IllegalFormatException;
import java.util.List;
import java.util.function.Consumer;
import org.djutils.data.Column;
import org.djutils.data.ListTable;
import org.djutils.data.Row;
import org.djutils.data.Table;
import org.djutils.data.serialization.TextSerializationException;
import org.djutils.data.serialization.TextSerializer;
import org.djutils.exceptions.Throw;
import org.djutils.primitives.Primitive;
import com.google.gson.stream.JsonReader;
import com.google.gson.stream.JsonToken;
import com.google.gson.stream.JsonWriter;
/**
* JsonData takes care of reading and writing of table data in JSON format. The reader and writer use a streaming API to avoid
* excessive memory use. The class can be used, e.g., as follows:
*
*
* Table dataTable = new ListTable("data", "dataTable", columns);
* Writer writer = new FileWriter("c:/data/data.json");
* JsonData.writeData(writer, dataTable);
*
*
* The JSON document has the following structure:
*
*
* {
* "table": {
* "id": "tableId",
* "description": "table description",
* "class": "org.djutils.data.ListTable"",
* "columns": [
* {
* "nr": "0",
* "id": "time",
* "description": "time in [s]",
* "class": "org.djtils.vdouble.scalar.Time",
* },
* {
* "nr": "1",
* "id": "value",
* "description": "value [cm]",
* "class": "double",
* },
* {
* "nr": "2",
* "id": "comment",
* "description": "comment",
* "class": "java.lang.String",
* },
* ]
* },
* "data": [
* [ { "0" : "2" }, { "1": "14.6" }, { "2" : "normal" } ],
* [ { "0" : "4" }, { "1": "18.7" }, { "2" : "normal" } ],
* [ { "0" : "6" }, { "1": "21.3" }, { "2" : "abnormal" } ]
* ]
* }
*
*
* Copyright (c) 2020-2024 Delft University of Technology, PO Box 5, 2600 AA, Delft, the Netherlands. All rights reserved.
* BSD-style license. See DJUTILS License.
*
* @author Alexander Verbraeck
* @author Peter Knoppers
* @author Wouter Schakel
*/
public final class JsonData
{
/**
* Utility class, no public constructor.
*/
private JsonData()
{
// utility class
}
/**
* Write the data from the data table in JSON format.
* @param writer Writer; the writer that writes the data, e.g. to a file
* @param dataTable Table; the data table to write
* @throws IOException on I/O error when writing the data
* @throws TextSerializationException on unknown data type for serialization
*/
@SuppressWarnings("resource")
public static void writeData(final Writer writer, final Table dataTable) throws IOException, TextSerializationException
{
try (JsonWriter jw = new JsonWriter(writer);)
{
jw.setIndent(" ");
// write the table metadata
jw.beginObject();
jw.name("table").beginObject();
jw.name("id").value(dataTable.getId());
jw.name("description").value(dataTable.getDescription());
jw.name("class").value(dataTable.getClass().getName());
jw.name("columns").beginArray();
int index = 0;
for (Column column : dataTable.getColumns())
{
jw.beginObject();
jw.name("nr").value(index++);
jw.name("id").value(column.getId());
jw.name("description").value(column.getDescription());
jw.name("type").value(column.getValueType().getName());
if (column.getUnit() != null)
{
jw.name("unit").value(column.getUnit());
}
jw.endObject();
}
jw.endArray(); // columns
jw.endObject(); // table
// initialize the serializers
TextSerializer[] serializers = new TextSerializer[dataTable.getNumberOfColumns()];
for (int i = 0; i < dataTable.getNumberOfColumns(); i++)
{
Column column = dataTable.getColumns().get(i);
serializers[i] = TextSerializer.resolve(column.getValueType());
}
// write the data
jw.name("data").beginArray();
// write the records
for (Row row : dataTable)
{
Object[] values = row.getValues();
jw.beginArray();
jw.setIndent("");
for (int i = 0; i < dataTable.getNumberOfColumns(); i++)
{
jw.beginObject().name(String.valueOf(i))
.value(TextSerializer.serialize(serializers[i], values[i], dataTable.getColumn(i).getUnit()))
.endObject();
}
jw.endArray(); // record
jw.setIndent(" ");
}
// end JSON document
jw.endArray(); // data array
jw.endObject(); // data
}
}
/**
* Write the data from the data table in JSON format.
* @param filename String; the file name to write the data to
* @param dataTable Table; the data table to write
* @throws IOException on I/O error when writing the data
* @throws TextSerializationException on unknown data type for serialization
*/
public static void writeData(final String filename, final Table dataTable) throws IOException, TextSerializationException
{
FileWriter fw = null;
try
{
fw = new FileWriter(filename);
writeData(fw, dataTable);
}
finally
{
if (null != fw)
{
fw.close();
}
}
}
/**
* Read the data from the csv-file into the data table. Use the metadata to reconstruct the data table.
* @param reader Reader; the reader that can read the data, e.g. from a file
* @return dataTable the data table reconstructed from the meta data and filled with the data
* @throws IOException on I/O error when reading the data
* @throws TextSerializationException on unknown data type for serialization
*/
public static Table readData(final Reader reader) throws IOException, TextSerializationException
{
try (JsonReader jr = new JsonReader(reader))
{
// read the metadata and reconstruct the data table
jr.beginObject();
readName(jr, "table");
jr.beginObject();
String[] tableProperties = new String[3];
tableProperties[0] = readValue(jr, "id");
tableProperties[1] = readValue(jr, "description");
tableProperties[2] = readValue(jr, "class");
// column metadata
List> columns = new ArrayList<>();
int index = 0;
readName(jr, "columns");
jr.beginArray();
while (jr.peek().equals(JsonToken.BEGIN_OBJECT))
{
String[] columnProperties = new String[5];
jr.beginObject();
columnProperties[0] = readValue(jr, "nr");
columnProperties[1] = readValue(jr, "id");
columnProperties[2] = readValue(jr, "description");
columnProperties[3] = readValue(jr, "type");
columnProperties[4] = jr.peek().equals(JsonToken.END_OBJECT) ? null : readValue(jr, "unit");
jr.endObject();
if (Integer.valueOf(columnProperties[0]).intValue() != index)
{
throw new IOException("column nr not ok");
}
String type = columnProperties[3];
Class valueClass = Primitive.forName(type);
if (valueClass == null)
{
try
{
valueClass = Class.forName(type);
}
catch (ClassNotFoundException exception)
{
throw new IOException("Could not find class " + type, exception);
}
}
Column column = new Column<>(columnProperties[1], columnProperties[2], valueClass, columnProperties[4]);
columns.add(column);
index++;
}
jr.endArray(); // columns
jr.endObject(); // table
// create table
Table table;
Consumer unserializableTable;
if (tableProperties[2].equals(ListTable.class.getName()))
{
ListTable listTable = new ListTable(tableProperties[0], tableProperties[1], columns);
table = listTable;
unserializableTable = (
data
) -> listTable.addRow(data);
}
else
{
// fallback
ListTable listTable = new ListTable(tableProperties[0], tableProperties[1], columns);
table = listTable;
unserializableTable = (
data
) -> listTable.addRow(data);
}
// obtain the serializers
TextSerializer[] serializers = new TextSerializer[table.getNumberOfColumns()];
for (int i = 0; i < table.getNumberOfColumns(); i++)
{
serializers[i] = TextSerializer.resolve(columns.get(i).getValueType());
}
// read the data file records
readName(jr, "data");
jr.beginArray();
while (jr.peek().equals(JsonToken.BEGIN_ARRAY))
{
Object[] values = new Object[columns.size()];
jr.beginArray();
for (int i = 0; i < table.getNumberOfColumns(); i++)
{
jr.beginObject();
values[i] = TextSerializer.deserialize(serializers[i], readValue(jr, "" + i), columns.get(i));
jr.endObject();
}
jr.endArray(); // row
unserializableTable.accept(values); // addRow
}
// end JSON document
jr.endArray(); // data array
jr.endObject(); // data
return table;
}
}
/**
* Read a name - value pair from the JSON file where name has to match the given tag name.
* @param jr JsonReader; the JSON stream reader
* @param tag String; the tag to retrieve
* @return the value belonging to the tag
* @throws IllegalFormatException when the next element in the file did not contain the right tag
* @throws IOException when reading from the stream raises an exception
*/
private static String readValue(final JsonReader jr, final String tag) throws IllegalFormatException, IOException
{
Throw.when(!jr.nextName().equals(tag), IllegalFormatException.class, "readValue: no %s object", tag);
if (jr.peek().equals(JsonToken.NULL))
{
jr.nextNull();
return null;
}
return jr.nextString();
}
/**
* Read a name -from the JSON file where name has to match the given tag name.
* @param jr JsonReader; the JSON stream reader
* @param tag String; the tag to retrieve
* @throws IllegalFormatException when the next element in the file did not contain the right tag
* @throws IOException when reading from the stream raises an exception
*/
private static void readName(final JsonReader jr, final String tag) throws IllegalFormatException, IOException
{
Throw.when(!jr.nextName().equals(tag), IllegalFormatException.class, "readName: no %s object", tag);
}
/**
* Read the data from the csv-file into the data table. Use the metadata to reconstruct the data table.
* @param filename String; the file name to read the data from
* @return dataTable the data table reconstructed from the meta data and filled with the data
* @throws IOException on I/O error when reading the data
* @throws TextSerializationException on unknown data type for serialization
*/
public static Table readData(final String filename) throws IOException, TextSerializationException
{
try (FileReader fr = new FileReader(filename);)
{
return readData(fr);
}
}
}