public StudentInquiriesTeachingResult getStudentInquiriesTeachingResult(
final ExecutionDegree executionDegree, final ShiftType shiftType) {
for (StudentInquiriesTeachingResult result : getStudentInquiriesTeachingResults()) {
if (result.getExecutionDegree() == executionDegree && result.getShiftType() == shiftType) {
return result;
}
}
return null;
}
/**
* Ver onde sao guardados os StudentInquiries (QUC): ir por CurricularCourses
*
* <p>1. Extrair o ED 2. A partir do ED extrair duas collections: CourseResults e TeacherResults
* 3. Magia para tirar um score desses results (ainda nao sei o q possa ser esse score. vou
* extrair o 'average_NDE' e 'average_P6_1' apenas a titulo de exemplo. nao tem qq valor real. os
* values sao em double, passar a BigDecimals e trabalhar sempre neste format). 4. Aplicar 50% à
* media do score de todos os CourseResults e 50% à media do score de todos os TeacherResults 5.
* Mostrar esse score.
*/
private String generateQUCResults(YearViewBean bean) {
ExecutionDegree executionDegree =
ExecutionDegree.getByDegreeCurricularPlanAndExecutionYear(
bean.getDegreeCurricularPlan(), bean.getExecutionYear());
Set<StudentInquiriesCourseResult> courseResults =
executionDegree.getStudentInquiriesCourseResultsSet();
Set<StudentInquiriesTeachingResult> teachingResults =
executionDegree.getStudentInquiriesTeachingResultsSet();
BigDecimal sigmaCR = new BigDecimal(0);
BigDecimal cardinalityCR = new BigDecimal(0);
BigDecimal averageCR = new BigDecimal(0);
BigDecimal sigmaTR = new BigDecimal(0);
BigDecimal cardinalityTR = new BigDecimal(0);
BigDecimal averageTR = new BigDecimal(0);
BigDecimal partialCourse = new BigDecimal(0);
BigDecimal partialTeaching = new BigDecimal(0);
String result;
for (StudentInquiriesCourseResult courseResult : courseResults) {
BigDecimal converted =
new BigDecimal(courseResult.getAverage_NDE() != null ? courseResult.getAverage_NDE() : 0);
sigmaCR = sigmaCR.add(converted);
cardinalityCR = cardinalityCR.add(BigDecimal.ONE);
}
if (cardinalityCR.compareTo(BigDecimal.ZERO) != 0) {
averageCR = sigmaCR.divide(cardinalityCR, 4, RoundingMode.HALF_EVEN);
} else {
averageCR = BigDecimal.ZERO;
}
for (StudentInquiriesTeachingResult teachingResult : teachingResults) {
BigDecimal converted =
new BigDecimal(
teachingResult.getAverage_P6_1() != null ? teachingResult.getAverage_P6_1() : 0);
sigmaTR = sigmaTR.add(converted);
cardinalityTR = cardinalityTR.add(BigDecimal.ONE);
}
if (cardinalityCR.compareTo(BigDecimal.ZERO) != 0) {
averageTR = sigmaTR.divide(cardinalityTR, 4, RoundingMode.HALF_EVEN);
} else {
averageTR = BigDecimal.ZERO;
}
partialCourse = averageCR.divide(new BigDecimal(2), 2, RoundingMode.HALF_EVEN);
partialTeaching = averageTR.divide(new BigDecimal(2), 2, RoundingMode.HALF_EVEN);
result = partialCourse.add(partialTeaching).toPlainString();
return result;
}