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leinfelder
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<%@page
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import="java.util.Iterator"%><%@page
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import="java.util.ArrayList"%><%@page
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import="edu.ucsb.nceas.utilities.OrderedMap"%><%@page
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import="java.util.List"%><%@page
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import="java.util.Enumeration"%><%@page
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import="java.sql.SQLException"%><%@page
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import="org.ecoinformatics.datamanager.transpose.DataTranspose"%><%@page
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import="au.com.bytecode.opencsv.CSVWriter"%><%@page
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import="java.io.OutputStreamWriter"%><%@page
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import="java.io.Writer"%><%@page
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import="java.sql.ResultSet"%><%@page
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import="edu.ucsb.nceas.metacat.dataquery.DataQuery"%><%@page
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import="java.io.IOException"%><%@page
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import="edu.ucsb.nceas.utilities.PropertyNotFoundException"%><%@page
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import="java.util.Hashtable"%><%@ page
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language="java" %><%
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/**
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*
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* '$RCSfile$'
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* Copyright: 2008 Regents of the University of California and the
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* National Center for Ecological Analysis and Synthesis
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* '$Author: leinfelder $'
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* '$Date: 2008-08-22 16:48:56 -0700 (Fri, 22 Aug 2008) $'
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* '$Revision: 4305 $'
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*
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* This program 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 2 of the License, or
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* (at your option) any later version.
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*
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* This program 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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* You should have received a copy of the GNU General Public License
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* along with this program; 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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%><%
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Hashtable params = getParams(request);
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handleDataquery(params,response,request.getSession().getId());
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%><%!
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private Hashtable getParams(HttpServletRequest request) {
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Hashtable params = new Hashtable();
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Enumeration<String> paramlist = (Enumeration<String>)request.getParameterNames();
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while (paramlist.hasMoreElements()) {
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String name = paramlist.nextElement();
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String[] value = request.getParameterValues(name);
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params.put(name, value);
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}
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return params;
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}
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%><%!
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leinfelder
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private List transpose(ResultSet rs, int idCol, int pivotCol, List pivotAttributes, boolean omitIdValues) throws SQLException {
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//map keyed by id column - data
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OrderedMap table = new OrderedMap();
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//track all the data columns
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OrderedMap widestRow = new OrderedMap();
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//map keyed by the pivot column - metadata
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OrderedMap headerRows = new OrderedMap();
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//vocab columns
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String vocabNameCol = "qmetadatavocabulary";
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String vocabValueCol = "qmetadatavalue";
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//maps for the vocab lists
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OrderedMap vocabNames = new OrderedMap();
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OrderedMap vocabValues = new OrderedMap();
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//all vocab names/values
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List allVocabNames = new ArrayList();
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List allVocabValues = new ArrayList();
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int colCount = rs.getMetaData().getColumnCount();
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String idColName = rs.getMetaData().getColumnName(idCol);
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while (rs.next()) {
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String id = rs.getString(idCol);
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String pivotValue = rs.getString(pivotCol);
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//look up the data row we are working on
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OrderedMap row = (OrderedMap) table.get(id);
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if (row == null) {
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row = new OrderedMap();
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}
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//look up the metadata row we are working on
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OrderedMap metadataRow = (OrderedMap) table.get(pivotValue);
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if (metadataRow == null) {
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metadataRow = new OrderedMap();
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}
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//get the values for this pivot
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for (int i = 1; i <= colCount; i++) {
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if (i != pivotCol) {
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String colName = rs.getMetaData().getColumnName(i);
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String value = rs.getString(i);
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//clean up the value
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if (value != null) {
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value = value.replaceAll("\n", " ");
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value = value.replaceAll("\\s+", " ");
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value = value.replaceAll("<html>", " ");
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value = value.replaceAll("</html>", " ");
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value = value.replaceAll("<head>", " ");
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value = value.replaceAll("</head>", " ");
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value = value.replaceAll("<body>", " ");
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value = value.replaceAll("</body>", " ");
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}
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leinfelder
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//do we include this column in the pivot?
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if (pivotAttributes.contains(colName)) {
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//annotate the column name with the pivot column value if not the id column
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if (i != idCol) {
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colName = pivotValue + "_" + colName;
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}
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row.put(colName, value);
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}
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else {
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if (colName.startsWith(vocabNameCol) || colName.startsWith(vocabValueCol)) {
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//don't add it to the normal metadata
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}
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else {
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metadataRow.put(colName, value);
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}
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}
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leinfelder
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//names
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if (colName.startsWith(vocabNameCol)) {
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List list = (List) vocabNames.get(pivotValue);
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if (list == null) {
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list = new ArrayList();
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}
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list.add(value);
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vocabNames.put(pivotValue, list);
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allVocabNames.add(value);
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}
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//values
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if (colName.startsWith(vocabValueCol)) {
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List list = (List) vocabValues.get(pivotValue);
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if (list == null) {
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list = new ArrayList();
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}
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list.add(value);
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vocabValues.put(pivotValue, list);
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allVocabValues.add(value);
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}
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}
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}
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//track the data columns - the values are junk
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widestRow.putAll(row);
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//put the row back (or maybe it's the first time)
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leinfelder
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table.put(id, row);
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//put the metadata header back
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headerRows.put(pivotValue, metadataRow);
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leinfelder
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}
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/** Construct the table structure for returning **/
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leinfelder
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//now make it into a list
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List retTable = new ArrayList();
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leinfelder
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//map keyed by metadata labels
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OrderedMap metadataHeaders = new OrderedMap();
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//do the data header - drives the other columns - based on widest entry
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leinfelder
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List header = new ArrayList(widestRow.keySet());
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//do the metadata header rows (basically rotate them around)
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Iterator headerIter = header.iterator();
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while (headerIter.hasNext()) {
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String column = (String) headerIter.next();
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//get the pivotValue part of column name
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String pivotValue = column;
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try {
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pivotValue = column.substring(0, column.indexOf("_"));
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}
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catch (Exception e) {}
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//look up the row from the metadata - keyed by pivot value
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OrderedMap metadataRow = (OrderedMap) headerRows.get(pivotValue);
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if (metadataRow != null) {
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//go through the values
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Iterator metadataIter = metadataRow.keySet().iterator();
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while (metadataIter.hasNext()) {
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String key = (String) metadataIter.next();
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String value = (String) metadataRow.get(key);
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OrderedMap newMetadataRow = (OrderedMap) metadataHeaders.get(key);
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if (newMetadataRow == null) {
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newMetadataRow = new OrderedMap();
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}
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newMetadataRow.put(column, value);
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metadataHeaders.put(key, newMetadataRow);
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}
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}
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}
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//make metadata rows as list/arrays on the reteurn table
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Iterator metadataLabelIter = metadataHeaders.keySet().iterator();
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while (metadataLabelIter.hasNext()) {
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String label = (String) metadataLabelIter.next();
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OrderedMap row = (OrderedMap) metadataHeaders.get(label);
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List rowValues = new ArrayList(row.values());
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rowValues.add(0, label);
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retTable.add(rowValues.toArray(new String[0]));
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}
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leinfelder
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//create the special vocab matrix rows
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List vocabTable = new ArrayList();
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List uniqueVocabs = new ArrayList();
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for (int i = 0; i < allVocabNames.size(); i++) {
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List vocabRow = new ArrayList();
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String vocabName = (String) allVocabNames.get(i);
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String vocabValue = (String) allVocabValues.get(i);
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String key = vocabName + "/" + vocabValue;
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//check if we've processed this already, skip if so
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if (uniqueVocabs.contains(key)) {
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continue;
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}
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uniqueVocabs.add(key);
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//TODO: expand the column count by one for _everything_
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vocabRow.add(key);
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//vocabRow.add(vocabName);
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//vocabRow.add(vocabValue);
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//go through the questions now, again
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headerIter = header.iterator();
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while (headerIter.hasNext()) {
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String column = (String) headerIter.next();
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//get the pivotValue part of column name if it exists
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String pivotValue = null;
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try {
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pivotValue = column.substring(0, column.indexOf("_"));
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}
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catch (Exception e) {}
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if (pivotValue == null) {
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continue;
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}
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//check to see if this question has that keyword
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List names = (List) vocabNames.get(pivotValue);
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List values = (List) vocabValues.get(pivotValue);
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if (names != null && names.indexOf(vocabName) > -1 && names.indexOf(vocabName) == values.indexOf(vocabValue) ) {
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vocabRow.add("true");
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}
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else {
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vocabRow.add("false");
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}
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}
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//put the row on
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vocabTable.add(vocabRow.toArray(new String[0]));
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}
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//put the vocab matrix on the table
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retTable.addAll(vocabTable);
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leinfelder
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//put the data header row on the table
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retTable.add(header.toArray(new String[0]));
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leinfelder
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//now the value rows in the table
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Iterator rowIter = table.values().iterator();
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int rowCount = 1;
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while (rowIter.hasNext()) {
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OrderedMap rowMap = (OrderedMap) rowIter.next();
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List row = new ArrayList();
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//iterate over the widest row's columns
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Iterator columnIter = widestRow.keySet().iterator();
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while (columnIter.hasNext()) {
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Object key = columnIter.next();
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Object value = rowMap.get(key);
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//hide the value used for Ids - just increment row
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if (key.equals(idColName) && omitIdValues) {
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value = String.valueOf(rowCount);
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}
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row.add(value);
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}
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rowCount++;
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retTable.add(row.toArray(new String[0]));
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}
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return retTable;
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}
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| 281 |
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%><%!
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| 282 |
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private void handleDataquery(
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| 283 |
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Hashtable<String, String[]> params,
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| 284 |
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HttpServletResponse response,
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| 285 |
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String sessionId) throws PropertyNotFoundException, IOException {
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| 286 |
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| 287 |
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DataQuery dq = null;
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| 288 |
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if (sessionId != null) {
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| 289 |
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dq = new DataQuery(sessionId);
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| 290 |
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}
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| 291 |
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else {
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| 292 |
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dq = new DataQuery();
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| 293 |
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}
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| 294 |
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| 295 |
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String dataqueryXML = (params.get("dataquery"))[0];
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| 297 |
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ResultSet rs = null;
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try {
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| 299 |
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rs = dq.executeQuery(dataqueryXML);
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| 300 |
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} catch (Exception e) {
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| 301 |
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//probably need to do something here
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| 302 |
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e.printStackTrace();
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return;
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}
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| 305 |
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| 306 |
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//process the result set
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| 307 |
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String qformat = "csv";
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| 308 |
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String[] temp = params.get("qformat");
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| 309 |
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if (temp != null && temp.length > 0) {
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| 310 |
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qformat = temp[0];
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| 311 |
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}
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| 312 |
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String fileName = "query-results." + qformat;
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| 313 |
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| 314 |
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boolean transpose = false;
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| 315 |
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temp = params.get("transpose");
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| 316 |
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if (temp != null && temp.length > 0) {
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| 317 |
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transpose = Boolean.parseBoolean(temp[0]);
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| 318 |
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}
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| 319 |
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int observation = 0;
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| 320 |
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temp = params.get("observation");
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| 321 |
|
|
if (temp != null && temp.length > 0) {
|
| 322 |
|
|
observation = Integer.parseInt(temp[0]);
|
| 323 |
|
|
}
|
| 324 |
|
|
int pivot = 0;
|
| 325 |
|
|
temp = params.get("pivot");
|
| 326 |
|
|
if (temp != null && temp.length > 0) {
|
| 327 |
|
|
pivot = Integer.parseInt(temp[0]);
|
| 328 |
|
|
}
|
| 329 |
|
|
|
| 330 |
|
|
//get the results as csv file
|
| 331 |
|
|
if (qformat != null && qformat.equalsIgnoreCase("csv")) {
|
| 332 |
|
|
response.setContentType("text/csv");
|
| 333 |
|
|
//response.setContentType("application/csv");
|
| 334 |
|
|
response.setHeader("Content-Disposition", "attachment; filename=" + fileName);
|
| 335 |
|
|
|
| 336 |
|
|
Writer writer = new OutputStreamWriter(response.getOutputStream());
|
| 337 |
4876
|
leinfelder
|
//CSVWriter csv = new CSVWriter(writer, CSVWriter.DEFAULT_SEPARATOR, CSVWriter.NO_QUOTE_CHARACTER);
|
| 338 |
|
|
CSVWriter csv = new CSVWriter(writer, CSVWriter.DEFAULT_SEPARATOR, CSVWriter.DEFAULT_QUOTE_CHARACTER, CSVWriter.DEFAULT_ESCAPE_CHARACTER);
|
| 339 |
4872
|
leinfelder
|
try {
|
| 340 |
|
|
if (transpose) {
|
| 341 |
4874
|
leinfelder
|
List pivotCols = new ArrayList();
|
| 342 |
|
|
pivotCols.add("studentid");
|
| 343 |
|
|
pivotCols.add("score");
|
| 344 |
|
|
pivotCols.add("response");
|
| 345 |
|
|
List transposedTable = transpose(rs, observation, pivot, pivotCols, true);
|
| 346 |
4872
|
leinfelder
|
csv.writeAll(transposedTable);
|
| 347 |
|
|
} else {
|
| 348 |
|
|
csv.writeAll(rs, true);
|
| 349 |
|
|
}
|
| 350 |
|
|
|
| 351 |
|
|
csv.flush();
|
| 352 |
|
|
response.flushBuffer();
|
| 353 |
|
|
|
| 354 |
|
|
rs.close();
|
| 355 |
|
|
|
| 356 |
|
|
} catch (SQLException e) {
|
| 357 |
|
|
e.printStackTrace();
|
| 358 |
|
|
}
|
| 359 |
|
|
|
| 360 |
|
|
return;
|
| 361 |
|
|
}
|
| 362 |
|
|
|
| 363 |
|
|
}
|
| 364 |
|
|
%>
|