/**
* <a href="http://www.openolat.org">
* OpenOLAT - Online Learning and Training</a><br>
* <p>
* Licensed under the Apache License, Version 2.0 (the "License"); <br>
* you may not use this file except in compliance with the License.<br>
* You may obtain a copy of the License at the
* <a href="http://www.apache.org/licenses/LICENSE-2.0">Apache homepage</a>
* <p>
* Unless required by applicable law or agreed to in writing,<br>
* software distributed under the License is distributed on an "AS IS" BASIS, <br>
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. <br>
* See the License for the specific language governing permissions and <br>
* limitations under the License.
* <p>
* Initial code contributed and copyrighted by<br>
* frentix GmbH, http://www.frentix.com
* <p>
*/
package org.olat.ims.qti.statistics.ui;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import org.olat.core.CoreSpringFactory;
import org.olat.core.gui.components.chart.BarSeries;
import org.olat.core.gui.translator.Translator;
import org.olat.ims.qti.editor.beecom.objects.Item;
import org.olat.ims.qti.editor.beecom.objects.Question;
import org.olat.ims.qti.editor.beecom.objects.Response;
import org.olat.ims.qti.statistics.QTIStatisticResourceResult;
import org.olat.ims.qti.statistics.QTIStatisticsManager;
import org.olat.ims.qti.statistics.QTIType;
import org.olat.ims.qti.statistics.model.StatisticChoiceOption;
import org.olat.ims.qti.statistics.model.StatisticFIBOption;
import org.olat.ims.qti.statistics.model.StatisticKPrimOption;
import org.olat.ims.qti.statistics.model.StatisticsItem;
/**
*
* Initial date: 10.03.2014<br>
* @author srosse, stephane.rosse@frentix.com, http://www.frentix.com
*
*/
public class SeriesFactory {
private static final String BAR_CORRECT_WRONG_NOT = "horizontalBarMultipleChoice";
private static final String BAR_ANSWERED = "horizontalBarMultipleChoiceSurvey";
private static final String BAR_CORRECT = "horizontalBarSingleChoice";
private final Translator translator;
private final QTIStatisticsManager qtiStatisticsManager;
private final QTIStatisticResourceResult resourceResult;
public SeriesFactory(QTIStatisticResourceResult resourceResult, Translator translator) {
this.translator = translator;
this.resourceResult = resourceResult;
qtiStatisticsManager = CoreSpringFactory.getImpl(QTIStatisticsManager.class);
}
private String translate(String key) {
return translator.translate(key);
}
public static String getCssClass(Item item) {
int questionType = item.getQuestion().getType();
switch (questionType) {
case Question.TYPE_SC: return "o_mi_qtisc";
case Question.TYPE_MC: return "o_mi_qtimc";
case Question.TYPE_KPRIM: return "o_mi_qtikprim";
case Question.TYPE_FIB: return "o_mi_qtifib";
case Question.TYPE_ESSAY: return "o_mi_qtiessay";
default: return null;
}
}
public Series getSeries(Item item, StatisticsItem itemStats) {
int questionType = item.getQuestion().getType();
switch(questionType) {
case Question.TYPE_SC: return getSingleChoice(item);
case Question.TYPE_MC: return getMultipleChoice(item, itemStats);
case Question.TYPE_KPRIM: return getKPrim(item);
case Question.TYPE_FIB: return getFIB(item);
default: return null;
}
}
public Series getSingleChoice(Item item) {
List<StatisticChoiceOption> statisticResponses = qtiStatisticsManager
.getNumOfAnswersPerSingleChoiceAnswerOption(item, resourceResult.getSearchParams());
String mediaBaseURL = resourceResult.getMediaBaseURL();
boolean survey = QTIType.survey.equals(resourceResult.getType());
int numOfParticipants = resourceResult.getQTIStatisticAssessment().getNumOfParticipants();
int i = 0;
long numOfResults = 0;
BarSeries d1 = new BarSeries();
List<ResponseInfos> responseInfos = new ArrayList<>();
for (StatisticChoiceOption statisticResponse:statisticResponses) {
Response response = statisticResponse.getResponse();
double ans_count = statisticResponse.getCount();
numOfResults += statisticResponse.getCount();
Float points;
String cssColor;
if(survey) {
points = null;
cssColor = "bar_default";
} else {
points = response.getPoints();
cssColor = response.isCorrect() ? "bar_green" : "bar_red";
}
String label = Integer.toString(++i);
d1.add(ans_count, label, cssColor);
String text = response.getContent().renderAsHtml(mediaBaseURL);
responseInfos.add(new ResponseInfos(label, text, points, response.isCorrect(), survey, false));
}
if(numOfResults != numOfParticipants) {
long notAnswered = numOfParticipants - numOfResults;
if(notAnswered > 0) {
String label = Integer.toString(++i);
String text = translate("user.not.answer");
responseInfos.add(new ResponseInfos(label, text, null, false, survey, false));
d1.add(notAnswered, label, "bar_grey");
}
}
List<BarSeries> serieList = Collections.singletonList(d1);
Series series = new Series(serieList, responseInfos, numOfParticipants, false);
series.setChartType(BAR_CORRECT);
series.setItemCss(getCssClass(item));
return series;
}
public Series getMultipleChoice(Item item, StatisticsItem itemStats) {
List<StatisticChoiceOption> statisticResponses = qtiStatisticsManager
.getNumOfRightAnsweredMultipleChoice(item, resourceResult.getSearchParams());
BarSeries d1 = new BarSeries("bar_green", "green", translate("answer.correct"));
BarSeries d2 = new BarSeries("bar_red", "red", translate("answer.false"));
BarSeries d3 = new BarSeries("bar_grey", "grey", translate("answer.noanswer"));
String mediaBaseURL = resourceResult.getMediaBaseURL();
boolean survey = QTIType.survey.equals(resourceResult.getType());
int numOfParticipants = resourceResult.getQTIStatisticAssessment().getNumOfParticipants();
int notAnswered = numOfParticipants - (itemStats == null ? 0 : itemStats.getNumOfResults());
int i = 0;
List<ResponseInfos> responseInfos = new ArrayList<>();
for(StatisticChoiceOption statisticResponse:statisticResponses) {
Response response = statisticResponse.getResponse();
String text = response.getContent().renderAsHtml(mediaBaseURL);
float points = response.getPoints();
double answersPerAnswerOption = statisticResponse.getCount();
double rightA;
double wrongA;
if (survey) {
rightA = answersPerAnswerOption;
wrongA = 0d;
} else if (points > 0.00001f) {
rightA = answersPerAnswerOption;
wrongA = numOfParticipants - notAnswered - answersPerAnswerOption;
} else {
//minus negative points are not answered right?
rightA = numOfParticipants - notAnswered - answersPerAnswerOption ;
wrongA = answersPerAnswerOption;
}
String label = Integer.toString(++i);
d1.add(rightA, label);
d2.add(wrongA, label);
d3.add(notAnswered, label);
Float pointsObj = survey ? null : points;
responseInfos.add(new ResponseInfos(label, text, pointsObj, (points > 0f), survey, false));
}
List<BarSeries> serieList = new ArrayList<>(3);
serieList.add(d1);
if(!survey) {
serieList.add(d2);
serieList.add(d3);
}
Series series = new Series(serieList, responseInfos, numOfParticipants, !survey);
series.setChartType(survey ? BAR_ANSWERED : BAR_CORRECT_WRONG_NOT);
series.setItemCss(getCssClass(item));
return series;
}
public Series getKPrim(Item item) {
List<StatisticKPrimOption> statisticResponses = qtiStatisticsManager
.getNumbersInKPrim(item, resourceResult.getSearchParams());
String mediaBaseURL = resourceResult.getMediaBaseURL();
boolean survey = QTIType.survey.equals(resourceResult.getType());
int numOfParticipants = resourceResult.getQTIStatisticAssessment().getNumOfParticipants();
int i = 0;
BarSeries d1 = new BarSeries("bar_green", "green", translate("answer.correct"));
BarSeries d2 = new BarSeries("bar_red", "red", translate("answer.false"));
BarSeries d3 = new BarSeries("bar_grey", "grey", translate("answer.noanswer"));
List<ResponseInfos> responseInfos = new ArrayList<>();
for (StatisticKPrimOption statisticResponse:statisticResponses) {
Response response = statisticResponse.getResponse();
boolean correct = response.isCorrect();
double right = statisticResponse.getNumOfCorrect();
double wrong = statisticResponse.getNumOfIncorrect();
double notanswered = numOfParticipants - right - wrong;
String label = Integer.toString(++i);
d1.add(right, label);
d2.add(wrong, label);
d3.add(notanswered, label);
String text = response.getContent().renderAsHtml(mediaBaseURL);
responseInfos.add(new ResponseInfos(label, text, null, correct, survey, true));
}
List<BarSeries> serieList = new ArrayList<>(3);
serieList.add(d1);
serieList.add(d2);
serieList.add(d3);
Series series = new Series(serieList, responseInfos, numOfParticipants, !survey);
series.setChartType(survey ? BAR_ANSWERED : BAR_CORRECT_WRONG_NOT);
series.setItemCss(getCssClass(item));
return series;
}
public Series getFIB(Item item) {
List<StatisticFIBOption> processedAnswers = qtiStatisticsManager
.getStatisticAnswerOptionsFIB(item, resourceResult.getSearchParams());
boolean survey = QTIType.survey.equals(resourceResult.getType());
boolean singleCorrectScore = item.getQuestion().getSingleCorrectScore() > 0.0f;
int numOfParticipants = resourceResult.getQTIStatisticAssessment().getNumOfParticipants();
int i = 0;
String cssColor = survey ? "bar_default" : "bar_green";
String color = survey ? null : "green";
BarSeries d1 = new BarSeries(cssColor, color, null);
List<ResponseInfos> responseInfos = new ArrayList<>();
for (StatisticFIBOption entry : processedAnswers) {
String label = Integer.toString(++i);
String answerString = entry.getCorrectBlank();
d1.add(entry.getNumOfCorrect(), label, cssColor);
StringBuilder text = new StringBuilder();
text.append(answerString);
if(entry.getAlternatives().size() > 1) {
text.append(" [");
for(int j=1; j<entry.getAlternatives().size(); j++) {
if(j > 1) text.append(", ");
text.append(entry.getAlternatives().get(j));
}
text.append("]");
}
Float score = singleCorrectScore ? null : entry.getPoints();
responseInfos.add(new ResponseInfos(label, text.toString(), entry.getWrongAnswers(), score, true, survey, false));
}
List<BarSeries> serieList = Collections.singletonList(d1);
Series series = new Series(serieList, responseInfos, numOfParticipants, false);
series.setChartType(BAR_ANSWERED);
series.setItemCss(getCssClass(item));
return series;
}
}