package org.djutils.data.csv; 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.Iterator; import java.util.LinkedHashMap; import java.util.List; import java.util.Map; import java.util.Set; import org.djutils.data.DataColumn; import org.djutils.data.DataRecord; import org.djutils.data.DataTable; import org.djutils.data.ListDataTable; import org.djutils.data.SimpleDataColumn; import org.djutils.data.serialization.TextSerializationException; import org.djutils.data.serialization.TextSerializer; import org.djutils.exceptions.Throw; import org.djutils.primitives.Primitive; import de.siegmar.fastcsv.reader.NamedCsvReader; import de.siegmar.fastcsv.reader.NamedCsvRow; import de.siegmar.fastcsv.writer.CsvWriter; import de.siegmar.fastcsv.writer.LineDelimiter; /** * CSVData takes care of reading and writing of table data in CSV format. The class can be used, e.g., as follows: * *
 * DataTable dataTable = new ListDataTable("data", "dataTable", columns);
 * Writer writer = new FileWriter("c:/data/data.csv");
 * Writer metaWriter = new FileWriter("c:/data/data.meta.csv");
 * CSVData.writeData(writer, metaWriter, dataTable);
 * 
* * Copyright (c) 2020-2022 Delft University of Technology, Jaffalaan 5, 2628 BX Delft, the Netherlands. All rights reserved. See * for project information https://djutils.org. The DJUTILS project is * distributed under a three-clause BSD-style license, which can be found at * https://djutils.org/docs/license.html.
* @author Alexander Verbraeck * @author Peter Knoppers * @author Wouter Schakel */ public final class CSVData { /** * Utility class, no public constructor. */ private CSVData() { // utility class } /** * Write the data from the data table in CSV format. The writer writes the data, whereas the metaWriter writes the metadata. * The metadata consists of a CSV file with three columns: the id, the description, and the class. The first row after the * header contains the id, description, and class of the data table itself. The second and further rows contain information * about the columns of the data table. * @param writer Writer; the writer that writes the data, e.g. to a file * @param metaWriter Writer; the writer for the metadata * @param dataTable DataTable; the data table to write * @param separator char; the delimiter to use for separating entries * @param quotechar char; the character to use for quoted elements * @param lineDelimiter String; the line terminator to use, can be LineDelimiter.CR, LF, CRLF or PLATFORM * @throws IOException on I/O error when writing the data * @throws TextSerializationException on unknown data type for serialization */ public static void writeData(final Writer writer, final Writer metaWriter, final DataTable dataTable, final char separator, final char quotechar, final LineDelimiter lineDelimiter) throws IOException, TextSerializationException { // Write the metadata file try (CsvWriter csvMetaWriter = CsvWriter.builder().fieldSeparator(separator).quoteCharacter(quotechar) .lineDelimiter(lineDelimiter).build(metaWriter)) { csvMetaWriter.writeRow("id", "description", "className"); csvMetaWriter.writeRow(dataTable.getId(), dataTable.getDescription(), dataTable.getClass().getName()); for (DataColumn column : dataTable.getColumns()) { csvMetaWriter.writeRow(column.getId(), column.getDescription(), column.getValueType().getName()); } // Assemble the serializer array TextSerializer[] serializers = new TextSerializer[dataTable.getNumberOfColumns()]; for (int i = 0; i < dataTable.getNumberOfColumns(); i++) { DataColumn column = dataTable.getColumns().get(i); serializers[i] = TextSerializer.resolve(column.getValueType()); } // Write the data file try (CsvWriter csvWriter = CsvWriter.builder().fieldSeparator(separator).quoteCharacter(quotechar) .lineDelimiter(lineDelimiter).build(writer)) { csvWriter.writeRow(dataTable.getColumnIds()); String[] textFields = new String[dataTable.getNumberOfColumns()]; for (DataRecord record : dataTable) { Object[] values = record.getValues(); for (int i = 0; i < dataTable.getNumberOfColumns(); i++) { textFields[i] = serializers[i].serialize(values[i]); } csvWriter.writeRow(textFields); } } } } /** * Write the data from the data table in CSV format. The writer writes the data, whereas the metaWriter writes the metadata. * The metadata consists of a CSV file with three columns: the id, the description, and the class. The first row after the * header contains the id, description, and class of the data table itself. The second and further rows contain information * about the columns of the data table. The line ending used will be CRLF which is RFC 4180 compliant. * @param writer Writer; the writer that writes the data, e.g. to a file * @param metaWriter Writer; the writer for the metadata * @param dataTable DataTable; 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 Writer writer, final Writer metaWriter, final DataTable dataTable) throws IOException, TextSerializationException { writeData(writer, metaWriter, dataTable, ',', '"', LineDelimiter.CRLF); } /** * Write the data from the data table in CSV format. * @param filename String; the file name to write the data to * @param metaFilename String; the file name to write the metadata to * @param dataTable DataTable; 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 String metaFilename, final DataTable dataTable) throws IOException, TextSerializationException { FileWriter fw = null; FileWriter mfw = null; try { fw = new FileWriter(filename); mfw = new FileWriter(metaFilename); writeData(fw, mfw, dataTable); } finally { if (null != fw) { fw.close(); // May have already been closed when the CSV writer was closed, but multiple close is harmless } if (null != mfw) { mfw.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 * @param metaReader Reader; the writer for the metadata * @return dataTable the data table reconstructed from the meta data and filled with the data * @param separator char; the delimiter to use for separating entries * @param quotechar char; the character to use for quoted elements * @throws IOException when the CSV data was not formatted right * @throws TextSerializationException on unknown data type for serialization */ public static DataTable readData(final Reader reader, final Reader metaReader, final char separator, final char quotechar) throws IOException, TextSerializationException { // Read the metadata file and reconstruct the data table List> columns = new ArrayList<>(); try (NamedCsvReader csvMetaReader = NamedCsvReader.builder().fieldSeparator(separator).quoteCharacter(quotechar).build(metaReader)) { Set metaHeader = csvMetaReader.getHeader(); Throw.when( metaHeader.size() != 3 || !metaHeader.contains("id") || !metaHeader.contains("description") || !metaHeader.contains("className"), IOException.class, "header of the metafile does not contain 'id, description, className' as fields, but %s: ", metaHeader); // table metadata Map tableRow = new LinkedHashMap<>(); Iterator it = csvMetaReader.iterator(); while (it.hasNext()) { NamedCsvRow row = it.next(); // table metadata if (tableRow.size() == 0) { tableRow.putAll(row.getFields()); if (!tableRow.get("className").endsWith("ListDataTable")) { throw new IOException("Currently, this method can only recreate a ListDataTable"); } } else { // column metadata String type = row.getField("className"); 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); } } @SuppressWarnings({"rawtypes", "unchecked"}) DataColumn column = new SimpleDataColumn(row.getField("id"), row.getField("description"), valueClass); columns.add(column); } } Throw.when(tableRow == null, IOException.class, "no table information in the metafile"); // create DataTable ListDataTable dataTable = new ListDataTable(tableRow.get("id"), tableRow.get("description"), columns); // Assemble the serializer array TextSerializer[] serializers = new TextSerializer[dataTable.getNumberOfColumns()]; for (int i = 0; i < dataTable.getNumberOfColumns(); i++) { DataColumn column = dataTable.getColumns().get(i); serializers[i] = TextSerializer.resolve(column.getValueType()); } // Read the data file try (NamedCsvReader csvReader = NamedCsvReader.builder().fieldSeparator(separator).quoteCharacter(quotechar).build(reader)) { Set header = csvReader.getHeader(); Throw.when(header.size() != columns.size(), IOException.class, "Number of columns in the data file does not match column metadata size"); for (int i = 0; i < columns.size(); i++) { Throw.when(!header.contains(columns.get(i).getId()), IOException.class, "Header with id %s not found in the data file", columns.get(i).getId()); } // Read the data file records csvReader.forEach(row -> { Object[] values = new Object[columns.size()]; for (int i = 0; i < columns.size(); i++) { values[i] = serializers[i].deserialize(row.getField(columns.get(i).getId())); } dataTable.addRecord(values); }); return dataTable; } } } /** * 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 * @param metaReader Reader; the writer for the metadata * @return dataTable the data table reconstructed from the meta data and filled with the data * @throws IOException when the CSV data was not formatted right * @throws TextSerializationException on unknown data type for serialization */ public static DataTable readData(final Reader reader, final Reader metaReader) throws IOException, TextSerializationException { return readData(reader, metaReader, ',', '"'); } /** * 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 * @param metaFilename String; the file name to read the metadata from * @return dataTable the data table reconstructed from the meta data and filled with the data * @throws IOException when the CSV data was not formatted right * @throws TextSerializationException on unknown data type for serialization */ public static DataTable readData(final String filename, final String metaFilename) throws IOException, TextSerializationException { FileReader fr = null; FileReader mfr = null; try { fr = new FileReader(filename); mfr = new FileReader(metaFilename); return readData(fr, mfr); } finally { if (null != fr) { fr.close(); // May have already been closed when the CSV reader was closed, but multiple close is harmless } if (null != mfr) { mfr.close(); } } } }