mirror of
https://github.com/servalproject/serval-dna.git
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114 lines
3.7 KiB
Java
114 lines
3.7 KiB
Java
/**
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* Copyright (C) 2014 Serval Project Inc.
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*
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* This file is part of Serval Software (http://www.servalproject.org)
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*
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* Serval Software is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 3 of the License, or
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* (at your option) any later version.
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*
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* This source code is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this source code; if not, write to the Free Software
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* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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*/
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package org.servalproject.json;
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import java.lang.reflect.InvocationTargetException;
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import java.io.IOException;
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import java.util.Vector;
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import java.util.Map;
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import java.util.HashMap;
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import java.util.HashSet;
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public class JSONTableScanner {
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private static class Column {
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public String label;
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public Class type;
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public JSONTokeniser.Narrow opts;
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}
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HashMap<String,Column> columnMap;
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Column[] columns;
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public JSONTableScanner()
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{
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columnMap = new HashMap<String,Column>();
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}
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public JSONTableScanner addColumn(String label, Class type)
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{
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return addColumn(label, type, JSONTokeniser.Narrow.NO_NULL);
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}
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public JSONTableScanner addColumn(String label, Class type, JSONTokeniser.Narrow opts)
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{
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assert !columnMap.containsKey(label);
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Column col = new Column();
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col.label = label;
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col.type = type;
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col.opts = opts;
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columnMap.put(label, col);
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return this;
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}
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public void consumeHeaderArray(JSONTokeniser json) throws IOException, JSONInputException
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{
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Vector<String> headers = new Vector<String>();
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json.consumeArray(headers, String.class);
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if (headers.size() < 1)
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throw new JSONInputException("malformed JSON table, empty headers array");
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columns = new Column[headers.size()];
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HashSet<String> headerSet = new HashSet<String>(columnMap.size());
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for (int i = 0; i < headers.size(); ++i) {
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String header = headers.get(i);
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if (columnMap.containsKey(header)) {
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if (headerSet.contains(header))
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throw new JSONInputException("malformed JSON table, duplicate column header: \"" + header + "\"");
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headerSet.add(header);
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columns[i] = columnMap.get(header);
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}
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}
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for (String header: columnMap.keySet())
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if (!headerSet.contains(header))
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throw new JSONInputException("malformed JSON table, missing column header: \"" + header + "\"");
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}
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@SuppressWarnings("unchecked")
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public Map<String,Object> consumeRowArray(JSONTokeniser json) throws IOException, JSONInputException
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{
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Object[] row = new Object[columns.length];
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json.consumeArray(row, JSONTokeniser.Narrow.ALLOW_NULL);
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HashMap<String,Object> rowMap = new HashMap<String,Object>(row.length);
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for (int i = 0; i < row.length; ++i) {
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Column col = columns[i];
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if (col != null) {
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Object value;
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if (JSONTokeniser.supportsNarrowTo(col.type))
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value = JSONTokeniser.narrow(row[i], col.type, col.opts);
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else {
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value = JSONTokeniser.narrow(row[i], col.opts);
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try {
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value = value == null ? null : col.type.getConstructor(value.getClass()).newInstance(value);
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}
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catch (InvocationTargetException e) {
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throw new JSONInputException("invalid column value: " + col.label + "=\"" + value + "\"", e.getTargetException());
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}
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catch (Exception e) {
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throw new JSONInputException("invalid column value: " + col.label + "=\"" + value + "\"", e);
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}
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}
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rowMap.put(col.label, value);
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}
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}
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return rowMap;
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}
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}
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