1 |
4872
|
leinfelder
|
<%@page
|
2 |
|
|
import="java.util.Iterator"%><%@page
|
3 |
|
|
import="java.util.ArrayList"%><%@page
|
4 |
|
|
import="edu.ucsb.nceas.utilities.OrderedMap"%><%@page
|
5 |
|
|
import="java.util.List"%><%@page
|
6 |
|
|
import="java.util.Enumeration"%><%@page
|
7 |
|
|
import="java.sql.SQLException"%><%@page
|
8 |
|
|
import="org.ecoinformatics.datamanager.transpose.DataTranspose"%><%@page
|
9 |
|
|
import="au.com.bytecode.opencsv.CSVWriter"%><%@page
|
10 |
|
|
import="java.io.OutputStreamWriter"%><%@page
|
11 |
|
|
import="java.io.Writer"%><%@page
|
12 |
|
|
import="java.sql.ResultSet"%><%@page
|
13 |
|
|
import="edu.ucsb.nceas.metacat.dataquery.DataQuery"%><%@page
|
14 |
|
|
import="java.io.IOException"%><%@page
|
15 |
5063
|
leinfelder
|
import="edu.ucsb.nceas.utilities.PropertyNotFoundException"%><%@page
|
16 |
|
|
import="edu.ucsb.nceas.metacat.util.SystemUtil"%><%@page
|
17 |
4872
|
leinfelder
|
import="java.util.Hashtable"%><%@ page
|
18 |
|
|
language="java" %><%
|
19 |
|
|
/**
|
20 |
|
|
*
|
21 |
|
|
* '$RCSfile$'
|
22 |
|
|
* Copyright: 2008 Regents of the University of California and the
|
23 |
|
|
* National Center for Ecological Analysis and Synthesis
|
24 |
|
|
* '$Author: leinfelder $'
|
25 |
|
|
* '$Date: 2008-08-22 16:48:56 -0700 (Fri, 22 Aug 2008) $'
|
26 |
|
|
* '$Revision: 4305 $'
|
27 |
|
|
*
|
28 |
|
|
* This program is free software; you can redistribute it and/or modify
|
29 |
|
|
* it under the terms of the GNU General Public License as published by
|
30 |
|
|
* the Free Software Foundation; either version 2 of the License, or
|
31 |
|
|
* (at your option) any later version.
|
32 |
|
|
*
|
33 |
|
|
* This program is distributed in the hope that it will be useful,
|
34 |
|
|
* but WITHOUT ANY WARRANTY; without even the implied warranty of
|
35 |
|
|
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
36 |
|
|
* GNU General Public License for more details.
|
37 |
|
|
|
38 |
|
|
* You should have received a copy of the GNU General Public License
|
39 |
|
|
* along with this program; if not, write to the Free Software
|
40 |
|
|
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
|
41 |
|
|
*/
|
42 |
|
|
%><%
|
43 |
|
|
Hashtable params = getParams(request);
|
44 |
|
|
handleDataquery(params,response,request.getSession().getId());
|
45 |
|
|
%><%!
|
46 |
|
|
private Hashtable getParams(HttpServletRequest request) {
|
47 |
|
|
Hashtable params = new Hashtable();
|
48 |
|
|
Enumeration<String> paramlist = (Enumeration<String>)request.getParameterNames();
|
49 |
|
|
while (paramlist.hasMoreElements()) {
|
50 |
|
|
|
51 |
|
|
String name = paramlist.nextElement();
|
52 |
|
|
String[] value = request.getParameterValues(name);
|
53 |
|
|
params.put(name, value);
|
54 |
|
|
}
|
55 |
|
|
|
56 |
|
|
return params;
|
57 |
|
|
}
|
58 |
|
|
%><%!
|
59 |
4896
|
leinfelder
|
private List processResultsSet(ResultSet rs, int omitColumn, String omitColumnLabel) throws SQLException {
|
60 |
4895
|
leinfelder
|
List retTable = new ArrayList();
|
61 |
|
|
int colCount = rs.getMetaData().getColumnCount();
|
62 |
|
|
List columnHeaders = new ArrayList();
|
63 |
|
|
int recordCount = 1;
|
64 |
|
|
OrderedMap uniqueIds = new OrderedMap();
|
65 |
|
|
|
66 |
|
|
while (rs.next()) {
|
67 |
|
|
List row = new ArrayList();
|
68 |
|
|
//get the values for this row
|
69 |
|
|
for (int i = 1; i <= colCount; i++) {
|
70 |
4896
|
leinfelder
|
|
71 |
|
|
String colName = rs.getMetaData().getColumnName(i);
|
72 |
4895
|
leinfelder
|
String value = rs.getString(i);
|
73 |
|
|
|
74 |
|
|
//clean up the value
|
75 |
|
|
value = cleanUp(value);
|
76 |
|
|
|
77 |
|
|
//hide the ids
|
78 |
|
|
if (i == omitColumn) {
|
79 |
|
|
String lookupValue = (String) uniqueIds.get(value);
|
80 |
|
|
if (lookupValue == null) {
|
81 |
|
|
lookupValue = recordCount + "";
|
82 |
|
|
}
|
83 |
|
|
uniqueIds.put(value, lookupValue);
|
84 |
|
|
value = lookupValue;
|
85 |
4896
|
leinfelder
|
colName = omitColumnLabel;
|
86 |
4895
|
leinfelder
|
}
|
87 |
4896
|
leinfelder
|
if (recordCount == 1) {
|
88 |
|
|
columnHeaders.add(colName);
|
89 |
|
|
}
|
90 |
4895
|
leinfelder
|
|
91 |
|
|
row.add(value);
|
92 |
|
|
}
|
93 |
|
|
retTable.add(row.toArray(new String[0]));
|
94 |
|
|
recordCount++;
|
95 |
|
|
}
|
96 |
5101
|
leinfelder
|
//make sure there are no "?column?" headers
|
97 |
|
|
for (int i = 0; i < columnHeaders.size(); i++) {
|
98 |
|
|
String columnName = (String) columnHeaders.get(i);
|
99 |
|
|
if (columnName.equals("?column?")) {
|
100 |
|
|
String previousColumn = (String) columnHeaders.get(i-1);
|
101 |
|
|
String[] previousParts = previousColumn.split("_");
|
102 |
|
|
int previousCount = Integer.parseInt(previousParts[1]);
|
103 |
|
|
columnName = previousParts[0] + "_"+ (previousCount + 1);
|
104 |
|
|
columnHeaders.set(i, columnName);
|
105 |
|
|
}
|
106 |
|
|
}
|
107 |
4895
|
leinfelder
|
retTable.add(0, columnHeaders.toArray(new String[0]));
|
108 |
|
|
return retTable;
|
109 |
|
|
}
|
110 |
|
|
%><%!
|
111 |
4874
|
leinfelder
|
private List transpose(ResultSet rs, int idCol, int pivotCol, List pivotAttributes, boolean omitIdValues) throws SQLException {
|
112 |
4875
|
leinfelder
|
//map keyed by id column - data
|
113 |
4872
|
leinfelder
|
OrderedMap table = new OrderedMap();
|
114 |
4875
|
leinfelder
|
//track all the data columns
|
115 |
4872
|
leinfelder
|
OrderedMap widestRow = new OrderedMap();
|
116 |
4875
|
leinfelder
|
//map keyed by the pivot column - metadata
|
117 |
|
|
OrderedMap headerRows = new OrderedMap();
|
118 |
|
|
|
119 |
4883
|
leinfelder
|
//vocab columns
|
120 |
|
|
String vocabNameCol = "qmetadatavocabulary";
|
121 |
|
|
String vocabValueCol = "qmetadatavalue";
|
122 |
|
|
//maps for the vocab lists
|
123 |
|
|
OrderedMap vocabNames = new OrderedMap();
|
124 |
|
|
OrderedMap vocabValues = new OrderedMap();
|
125 |
|
|
//all vocab names/values
|
126 |
|
|
List allVocabNames = new ArrayList();
|
127 |
|
|
List allVocabValues = new ArrayList();
|
128 |
5087
|
leinfelder
|
boolean twoColumnMetadata = false;
|
129 |
4883
|
leinfelder
|
|
130 |
4872
|
leinfelder
|
int colCount = rs.getMetaData().getColumnCount();
|
131 |
|
|
String idColName = rs.getMetaData().getColumnName(idCol);
|
132 |
|
|
|
133 |
|
|
while (rs.next()) {
|
134 |
|
|
String id = rs.getString(idCol);
|
135 |
|
|
String pivotValue = rs.getString(pivotCol);
|
136 |
|
|
|
137 |
4875
|
leinfelder
|
//look up the data row we are working on
|
138 |
4872
|
leinfelder
|
OrderedMap row = (OrderedMap) table.get(id);
|
139 |
|
|
if (row == null) {
|
140 |
|
|
row = new OrderedMap();
|
141 |
|
|
}
|
142 |
4875
|
leinfelder
|
//look up the metadata row we are working on
|
143 |
|
|
OrderedMap metadataRow = (OrderedMap) table.get(pivotValue);
|
144 |
|
|
if (metadataRow == null) {
|
145 |
|
|
metadataRow = new OrderedMap();
|
146 |
|
|
}
|
147 |
4872
|
leinfelder
|
|
148 |
|
|
//get the values for this pivot
|
149 |
|
|
for (int i = 1; i <= colCount; i++) {
|
150 |
|
|
if (i != pivotCol) {
|
151 |
|
|
String colName = rs.getMetaData().getColumnName(i);
|
152 |
5102
|
leinfelder
|
|
153 |
|
|
//check for "missing" headers in the qchoice
|
154 |
|
|
/*
|
155 |
|
|
if (colName.equals("?column?")) {
|
156 |
|
|
String previousColumn = rs.getMetaData().getColumnName(i-1);
|
157 |
|
|
if (previousColumn.startsWith("qchoice")) {
|
158 |
|
|
String[] previousParts = previousColumn.split("_");
|
159 |
|
|
int previousCount = 0;
|
160 |
|
|
if (previousParts.length == 2) {
|
161 |
|
|
previousCount = Integer.parseInt(previousParts[1]);
|
162 |
|
|
}
|
163 |
|
|
colName = previousParts[0] + "_"+ (previousCount + 1);
|
164 |
|
|
}
|
165 |
|
|
}
|
166 |
|
|
*/
|
167 |
|
|
|
168 |
4875
|
leinfelder
|
String value = rs.getString(i);
|
169 |
4895
|
leinfelder
|
|
170 |
4876
|
leinfelder
|
//clean up the value
|
171 |
4895
|
leinfelder
|
value = cleanUp(value);
|
172 |
|
|
|
173 |
4874
|
leinfelder
|
//do we include this column in the pivot?
|
174 |
|
|
if (pivotAttributes.contains(colName)) {
|
175 |
|
|
//annotate the column name with the pivot column value if not the id column
|
176 |
|
|
if (i != idCol) {
|
177 |
|
|
colName = pivotValue + "_" + colName;
|
178 |
|
|
}
|
179 |
|
|
row.put(colName, value);
|
180 |
4872
|
leinfelder
|
}
|
181 |
4875
|
leinfelder
|
else {
|
182 |
4885
|
leinfelder
|
if (colName.startsWith(vocabNameCol) || colName.startsWith(vocabValueCol)) {
|
183 |
|
|
//don't add it to the normal metadata
|
184 |
|
|
}
|
185 |
|
|
else {
|
186 |
|
|
metadataRow.put(colName, value);
|
187 |
|
|
}
|
188 |
4875
|
leinfelder
|
}
|
189 |
4883
|
leinfelder
|
//names
|
190 |
|
|
if (colName.startsWith(vocabNameCol)) {
|
191 |
|
|
List list = (List) vocabNames.get(pivotValue);
|
192 |
|
|
if (list == null) {
|
193 |
|
|
list = new ArrayList();
|
194 |
|
|
}
|
195 |
|
|
list.add(value);
|
196 |
|
|
vocabNames.put(pivotValue, list);
|
197 |
|
|
allVocabNames.add(value);
|
198 |
|
|
}
|
199 |
|
|
//values
|
200 |
|
|
if (colName.startsWith(vocabValueCol)) {
|
201 |
|
|
List list = (List) vocabValues.get(pivotValue);
|
202 |
|
|
if (list == null) {
|
203 |
|
|
list = new ArrayList();
|
204 |
|
|
}
|
205 |
|
|
list.add(value);
|
206 |
|
|
vocabValues.put(pivotValue, list);
|
207 |
|
|
allVocabValues.add(value);
|
208 |
|
|
}
|
209 |
4872
|
leinfelder
|
}
|
210 |
|
|
}
|
211 |
4875
|
leinfelder
|
//track the data columns - the values are junk
|
212 |
4872
|
leinfelder
|
widestRow.putAll(row);
|
213 |
|
|
|
214 |
|
|
//put the row back (or maybe it's the first time)
|
215 |
4875
|
leinfelder
|
table.put(id, row);
|
216 |
|
|
|
217 |
|
|
//put the metadata header back
|
218 |
|
|
headerRows.put(pivotValue, metadataRow);
|
219 |
|
|
|
220 |
4872
|
leinfelder
|
}
|
221 |
|
|
|
222 |
4883
|
leinfelder
|
/** Construct the table structure for returning **/
|
223 |
|
|
|
224 |
4872
|
leinfelder
|
//now make it into a list
|
225 |
|
|
List retTable = new ArrayList();
|
226 |
|
|
|
227 |
4875
|
leinfelder
|
//map keyed by metadata labels
|
228 |
|
|
OrderedMap metadataHeaders = new OrderedMap();
|
229 |
|
|
|
230 |
|
|
//do the data header - drives the other columns - based on widest entry
|
231 |
4872
|
leinfelder
|
List header = new ArrayList(widestRow.keySet());
|
232 |
4875
|
leinfelder
|
|
233 |
|
|
//do the metadata header rows (basically rotate them around)
|
234 |
|
|
Iterator headerIter = header.iterator();
|
235 |
4886
|
leinfelder
|
String lastValue = "";
|
236 |
4875
|
leinfelder
|
while (headerIter.hasNext()) {
|
237 |
|
|
String column = (String) headerIter.next();
|
238 |
|
|
//get the pivotValue part of column name
|
239 |
|
|
String pivotValue = column;
|
240 |
|
|
try {
|
241 |
|
|
pivotValue = column.substring(0, column.indexOf("_"));
|
242 |
|
|
}
|
243 |
|
|
catch (Exception e) {}
|
244 |
|
|
//look up the row from the metadata - keyed by pivot value
|
245 |
|
|
OrderedMap metadataRow = (OrderedMap) headerRows.get(pivotValue);
|
246 |
|
|
if (metadataRow != null) {
|
247 |
|
|
//go through the values
|
248 |
|
|
Iterator metadataIter = metadataRow.keySet().iterator();
|
249 |
|
|
while (metadataIter.hasNext()) {
|
250 |
|
|
String key = (String) metadataIter.next();
|
251 |
|
|
String value = (String) metadataRow.get(key);
|
252 |
|
|
OrderedMap newMetadataRow = (OrderedMap) metadataHeaders.get(key);
|
253 |
|
|
if (newMetadataRow == null) {
|
254 |
|
|
newMetadataRow = new OrderedMap();
|
255 |
|
|
}
|
256 |
4886
|
leinfelder
|
//if it's the same as the last one, just use null value
|
257 |
|
|
if (lastValue.equals(pivotValue)) {
|
258 |
|
|
value = null;
|
259 |
|
|
}
|
260 |
4875
|
leinfelder
|
newMetadataRow.put(column, value);
|
261 |
|
|
metadataHeaders.put(key, newMetadataRow);
|
262 |
|
|
}
|
263 |
|
|
}
|
264 |
4886
|
leinfelder
|
|
265 |
|
|
lastValue = pivotValue;
|
266 |
|
|
|
267 |
4875
|
leinfelder
|
}
|
268 |
|
|
|
269 |
|
|
//make metadata rows as list/arrays on the reteurn table
|
270 |
|
|
Iterator metadataLabelIter = metadataHeaders.keySet().iterator();
|
271 |
|
|
while (metadataLabelIter.hasNext()) {
|
272 |
|
|
String label = (String) metadataLabelIter.next();
|
273 |
|
|
OrderedMap row = (OrderedMap) metadataHeaders.get(label);
|
274 |
|
|
List rowValues = new ArrayList(row.values());
|
275 |
|
|
rowValues.add(0, label);
|
276 |
4892
|
leinfelder
|
if (twoColumnMetadata) {
|
277 |
|
|
//add extra column
|
278 |
|
|
rowValues.add(1, null);
|
279 |
|
|
}
|
280 |
4875
|
leinfelder
|
retTable.add(rowValues.toArray(new String[0]));
|
281 |
|
|
}
|
282 |
|
|
|
283 |
4883
|
leinfelder
|
//create the special vocab matrix rows
|
284 |
|
|
List vocabTable = new ArrayList();
|
285 |
|
|
List uniqueVocabs = new ArrayList();
|
286 |
|
|
for (int i = 0; i < allVocabNames.size(); i++) {
|
287 |
|
|
List vocabRow = new ArrayList();
|
288 |
|
|
String vocabName = (String) allVocabNames.get(i);
|
289 |
|
|
String vocabValue = (String) allVocabValues.get(i);
|
290 |
|
|
String key = vocabName + "/" + vocabValue;
|
291 |
|
|
//check if we've processed this already, skip if so
|
292 |
|
|
if (uniqueVocabs.contains(key)) {
|
293 |
|
|
continue;
|
294 |
|
|
}
|
295 |
4892
|
leinfelder
|
uniqueVocabs.add(key);
|
296 |
|
|
if (twoColumnMetadata) {
|
297 |
|
|
vocabRow.add(vocabName);
|
298 |
|
|
vocabRow.add(vocabValue);
|
299 |
|
|
}
|
300 |
|
|
else {
|
301 |
|
|
vocabRow.add(key);
|
302 |
|
|
}
|
303 |
4883
|
leinfelder
|
//go through the questions now, again
|
304 |
4898
|
leinfelder
|
String lastPivotValue = "";
|
305 |
4883
|
leinfelder
|
headerIter = header.iterator();
|
306 |
|
|
while (headerIter.hasNext()) {
|
307 |
|
|
String column = (String) headerIter.next();
|
308 |
|
|
//get the pivotValue part of column name if it exists
|
309 |
|
|
String pivotValue = null;
|
310 |
|
|
try {
|
311 |
|
|
pivotValue = column.substring(0, column.indexOf("_"));
|
312 |
|
|
}
|
313 |
|
|
catch (Exception e) {}
|
314 |
|
|
if (pivotValue == null) {
|
315 |
|
|
continue;
|
316 |
|
|
}
|
317 |
4898
|
leinfelder
|
//check to not duplicate values
|
318 |
|
|
if (pivotValue.equals(lastPivotValue)) {
|
319 |
|
|
vocabRow.add(null);
|
320 |
4883
|
leinfelder
|
}
|
321 |
|
|
else {
|
322 |
4898
|
leinfelder
|
//check to see if this question has that keyword
|
323 |
|
|
List names = (List) vocabNames.get(pivotValue);
|
324 |
|
|
List values = (List) vocabValues.get(pivotValue);
|
325 |
5087
|
leinfelder
|
String containsVocabItem = "false";
|
326 |
|
|
if (names != null) {
|
327 |
|
|
int vocabNameIndex = names.indexOf(vocabName);
|
328 |
|
|
int vocabValueIndex = values.indexOf(vocabValue);
|
329 |
|
|
// contains the vocab and the value _somewhere_
|
330 |
|
|
if (vocabNameIndex > -1 && vocabValueIndex > -1) {
|
331 |
|
|
containsVocabItem = "true";
|
332 |
|
|
}
|
333 |
4898
|
leinfelder
|
}
|
334 |
5087
|
leinfelder
|
vocabRow.add(containsVocabItem);
|
335 |
4883
|
leinfelder
|
}
|
336 |
4898
|
leinfelder
|
lastPivotValue = pivotValue;
|
337 |
4883
|
leinfelder
|
}
|
338 |
|
|
//put the row on
|
339 |
|
|
vocabTable.add(vocabRow.toArray(new String[0]));
|
340 |
|
|
}
|
341 |
|
|
|
342 |
|
|
//put the vocab matrix on the table
|
343 |
|
|
retTable.addAll(vocabTable);
|
344 |
|
|
|
345 |
4892
|
leinfelder
|
if (twoColumnMetadata) {
|
346 |
|
|
//add column to data header row
|
347 |
|
|
header.add(1, null);
|
348 |
|
|
}
|
349 |
4897
|
leinfelder
|
|
350 |
|
|
//replace the "studentId" label
|
351 |
|
|
int temp = header.indexOf("studentid");
|
352 |
|
|
if (header.remove(temp) != null) {
|
353 |
|
|
header.add(temp, "recordNum");
|
354 |
|
|
}
|
355 |
|
|
|
356 |
4875
|
leinfelder
|
//put the data header row on the table
|
357 |
4872
|
leinfelder
|
retTable.add(header.toArray(new String[0]));
|
358 |
|
|
|
359 |
4875
|
leinfelder
|
//now the value rows in the table
|
360 |
4872
|
leinfelder
|
Iterator rowIter = table.values().iterator();
|
361 |
|
|
int rowCount = 1;
|
362 |
|
|
while (rowIter.hasNext()) {
|
363 |
|
|
OrderedMap rowMap = (OrderedMap) rowIter.next();
|
364 |
|
|
List row = new ArrayList();
|
365 |
|
|
//iterate over the widest row's columns
|
366 |
|
|
Iterator columnIter = widestRow.keySet().iterator();
|
367 |
|
|
while (columnIter.hasNext()) {
|
368 |
|
|
Object key = columnIter.next();
|
369 |
|
|
Object value = rowMap.get(key);
|
370 |
|
|
//hide the value used for Ids - just increment row
|
371 |
|
|
if (key.equals(idColName) && omitIdValues) {
|
372 |
|
|
value = String.valueOf(rowCount);
|
373 |
|
|
}
|
374 |
|
|
row.add(value);
|
375 |
|
|
}
|
376 |
|
|
rowCount++;
|
377 |
4892
|
leinfelder
|
if (twoColumnMetadata) {
|
378 |
|
|
//add extra column
|
379 |
|
|
row.add(1, null);
|
380 |
|
|
}
|
381 |
4872
|
leinfelder
|
retTable.add(row.toArray(new String[0]));
|
382 |
|
|
}
|
383 |
|
|
|
384 |
|
|
return retTable;
|
385 |
|
|
}
|
386 |
|
|
%><%!
|
387 |
4895
|
leinfelder
|
private String cleanUp(String value) {
|
388 |
|
|
if (value != null) {
|
389 |
|
|
value = value.replaceAll("\n", " ");
|
390 |
|
|
value = value.replaceAll("\\s+", " ");
|
391 |
|
|
value = value.replaceAll("<html>", " ");
|
392 |
|
|
value = value.replaceAll("</html>", " ");
|
393 |
|
|
value = value.replaceAll("<head>", " ");
|
394 |
|
|
value = value.replaceAll("</head>", " ");
|
395 |
|
|
value = value.replaceAll("<body>", " ");
|
396 |
|
|
value = value.replaceAll("</body>", " ");
|
397 |
5063
|
leinfelder
|
//translate any ecogrid urls
|
398 |
|
|
value = convertEcogridURL(value);
|
399 |
4895
|
leinfelder
|
}
|
400 |
|
|
return value;
|
401 |
|
|
}
|
402 |
|
|
%><%!
|
403 |
5063
|
leinfelder
|
private String convertEcogridURL(String value) {
|
404 |
|
|
if (value != null) {
|
405 |
|
|
String prefix = "ecogrid://knb/";
|
406 |
|
|
if (value.startsWith(prefix)) {
|
407 |
|
|
//String docid = value.substring(prefix.length(), value.length());
|
408 |
|
|
// TODO make URL
|
409 |
|
|
String contextURL = "";
|
410 |
|
|
try {
|
411 |
|
|
contextURL = SystemUtil.getContextURL();
|
412 |
|
|
}
|
413 |
|
|
catch (PropertyNotFoundException pnfe) {
|
414 |
|
|
//do nothing
|
415 |
|
|
}
|
416 |
|
|
value = value.replaceFirst(prefix, contextURL + "/metacat?action=read&docid=");
|
417 |
|
|
}
|
418 |
|
|
}
|
419 |
|
|
return value;
|
420 |
|
|
}
|
421 |
|
|
%><%!
|
422 |
4872
|
leinfelder
|
private void handleDataquery(
|
423 |
|
|
Hashtable<String, String[]> params,
|
424 |
|
|
HttpServletResponse response,
|
425 |
|
|
String sessionId) throws PropertyNotFoundException, IOException {
|
426 |
|
|
|
427 |
|
|
DataQuery dq = null;
|
428 |
|
|
if (sessionId != null) {
|
429 |
|
|
dq = new DataQuery(sessionId);
|
430 |
|
|
}
|
431 |
|
|
else {
|
432 |
|
|
dq = new DataQuery();
|
433 |
|
|
}
|
434 |
|
|
|
435 |
|
|
String dataqueryXML = (params.get("dataquery"))[0];
|
436 |
|
|
|
437 |
|
|
ResultSet rs = null;
|
438 |
|
|
try {
|
439 |
|
|
rs = dq.executeQuery(dataqueryXML);
|
440 |
|
|
} catch (Exception e) {
|
441 |
|
|
//probably need to do something here
|
442 |
|
|
e.printStackTrace();
|
443 |
|
|
return;
|
444 |
|
|
}
|
445 |
|
|
|
446 |
|
|
//process the result set
|
447 |
|
|
String qformat = "csv";
|
448 |
|
|
String[] temp = params.get("qformat");
|
449 |
|
|
if (temp != null && temp.length > 0) {
|
450 |
|
|
qformat = temp[0];
|
451 |
|
|
}
|
452 |
|
|
String fileName = "query-results." + qformat;
|
453 |
|
|
|
454 |
|
|
boolean transpose = false;
|
455 |
|
|
temp = params.get("transpose");
|
456 |
|
|
if (temp != null && temp.length > 0) {
|
457 |
|
|
transpose = Boolean.parseBoolean(temp[0]);
|
458 |
|
|
}
|
459 |
|
|
int observation = 0;
|
460 |
|
|
temp = params.get("observation");
|
461 |
|
|
if (temp != null && temp.length > 0) {
|
462 |
|
|
observation = Integer.parseInt(temp[0]);
|
463 |
|
|
}
|
464 |
|
|
int pivot = 0;
|
465 |
|
|
temp = params.get("pivot");
|
466 |
|
|
if (temp != null && temp.length > 0) {
|
467 |
|
|
pivot = Integer.parseInt(temp[0]);
|
468 |
|
|
}
|
469 |
5081
|
leinfelder
|
String[] pivotColumns = null;
|
470 |
|
|
temp = params.get("pivotColumns");
|
471 |
|
|
if (temp != null && temp.length > 0) {
|
472 |
|
|
pivotColumns = temp;
|
473 |
|
|
}
|
474 |
4872
|
leinfelder
|
|
475 |
|
|
//get the results as csv file
|
476 |
|
|
if (qformat != null && qformat.equalsIgnoreCase("csv")) {
|
477 |
|
|
response.setContentType("text/csv");
|
478 |
|
|
//response.setContentType("application/csv");
|
479 |
|
|
response.setHeader("Content-Disposition", "attachment; filename=" + fileName);
|
480 |
|
|
|
481 |
|
|
Writer writer = new OutputStreamWriter(response.getOutputStream());
|
482 |
4876
|
leinfelder
|
//CSVWriter csv = new CSVWriter(writer, CSVWriter.DEFAULT_SEPARATOR, CSVWriter.NO_QUOTE_CHARACTER);
|
483 |
|
|
CSVWriter csv = new CSVWriter(writer, CSVWriter.DEFAULT_SEPARATOR, CSVWriter.DEFAULT_QUOTE_CHARACTER, CSVWriter.DEFAULT_ESCAPE_CHARACTER);
|
484 |
4872
|
leinfelder
|
try {
|
485 |
|
|
if (transpose) {
|
486 |
4874
|
leinfelder
|
List pivotCols = new ArrayList();
|
487 |
5081
|
leinfelder
|
if (pivotColumns != null) {
|
488 |
|
|
for (int i = 0; i < pivotColumns.length; i++) {
|
489 |
|
|
pivotCols.add(pivotColumns[i]);
|
490 |
|
|
}
|
491 |
|
|
} else {
|
492 |
|
|
pivotCols.add("studentid");
|
493 |
|
|
pivotCols.add("score");
|
494 |
|
|
pivotCols.add("response");
|
495 |
|
|
pivotCols.add("responsefile");
|
496 |
|
|
}
|
497 |
4874
|
leinfelder
|
List transposedTable = transpose(rs, observation, pivot, pivotCols, true);
|
498 |
4872
|
leinfelder
|
csv.writeAll(transposedTable);
|
499 |
|
|
} else {
|
500 |
4896
|
leinfelder
|
List processedTable = processResultsSet(rs, 3, "recordNum");
|
501 |
4895
|
leinfelder
|
csv.writeAll(processedTable);
|
502 |
4872
|
leinfelder
|
}
|
503 |
|
|
|
504 |
|
|
csv.flush();
|
505 |
|
|
response.flushBuffer();
|
506 |
|
|
|
507 |
|
|
rs.close();
|
508 |
|
|
|
509 |
|
|
} catch (SQLException e) {
|
510 |
|
|
e.printStackTrace();
|
511 |
|
|
}
|
512 |
|
|
|
513 |
|
|
return;
|
514 |
|
|
}
|
515 |
|
|
|
516 |
|
|
}
|
517 |
|
|
%>
|