diff --git a/src/main/java/de/hftstuttgart/dtabackend/utils/CompetencyAssessmentUtil.java b/src/main/java/de/hftstuttgart/dtabackend/utils/CompetencyAssessmentUtil.java
index cdc3b437bedc2ee859d820da1a7ceb82b8383771..a444a619c7081b1fcef209422be4b7c10085ce08 100644
--- a/src/main/java/de/hftstuttgart/dtabackend/utils/CompetencyAssessmentUtil.java
+++ b/src/main/java/de/hftstuttgart/dtabackend/utils/CompetencyAssessmentUtil.java
@@ -27,110 +27,127 @@ import java.io.FileNotFoundException;
public class CompetencyAssessmentUtil {
private static final Logger LOG = LogManager.getLogger(CompetencyAssessmentUtil.class);
-
- public static String TEST_COMPETENCY_MANIFEST_FILE_NAME="competency-tests.mft";
- public static String EXERCISE_COMPETENCY_MANIFEST_FILE_NAME="exercise-tests.mft";
-
- /*public static void main(String[] args) throws StreamReadException, DatabindException, MalformedURLException, IOException {
- ResultSummary summary=ExecuteTestUtil.generateResult("1", Path.of(args[0]), Path.of(args[1]));
- System.out.println(summary.successfulTestCompetencyProfile);
- }
- */
+
+ public static String TEST_COMPETENCY_MANIFEST_FILE_NAME = "competency-tests.mft";
+ public static String EXERCISE_COMPETENCY_MANIFEST_FILE_NAME = "exercise-tests.mft";
+
public static float[] sumTestCompetencyProfiles(List<TestCompetencyProfile> testCompetencyProfiles) {
- float[] tcpTotalProfile=new float[ICompetencyProfile.MAX_COMPETENCY_DIMENSIONS];
- for(TestCompetencyProfile currentProfile: testCompetencyProfiles) {
- tcpTotalProfile=ICompetencyProfile.competencySum(tcpTotalProfile, currentProfile.competencyAssessments);
+ LOG.debug("Starting sumTestCompetencyProfiles with {} test profiles.", testCompetencyProfiles.size());
+
+ float[] tcpTotalProfile = new float[ICompetencyProfile.MAX_COMPETENCY_DIMENSIONS];
+ for (TestCompetencyProfile currentProfile : testCompetencyProfiles) {
+ LOG.debug("Adding competency assessments from profile: {}", currentProfile.testName);
+ tcpTotalProfile = ICompetencyProfile.competencySum(tcpTotalProfile, currentProfile.competencyAssessments);
}
+
+ LOG.debug("Completed summing test competency profiles. Total profile: {}", packFloats(tcpTotalProfile));
return tcpTotalProfile;
}
-
+
public static float[] sumSuccessfulCompetencyProfiles(List<TestCompetencyProfile> testCompetencyProfiles, ResultSummary resultSummary, boolean success) {
- float[] sumSuccessful=new float[ICompetencyProfile.MAX_COMPETENCY_DIMENSIONS];
- for(Result currentResult: resultSummary.results) {
+ LOG.debug("Starting sumSuccessfulCompetencyProfiles. Success flag: {}", success);
+
+ float[] sumSuccessful = new float[ICompetencyProfile.MAX_COMPETENCY_DIMENSIONS];
+ for (Result currentResult : resultSummary.results) {
boolean isSuccess = Integer.valueOf(currentResult.state).equals(Result.State.SUCCESS.ordinal());
- if (isSuccess == success) {
- TestCompetencyProfile currentProfile=new TestCompetencyProfile();
- currentProfile.testPackageName=(currentResult.packageName!=null)?currentResult.packageName:"";
- currentProfile.testClassName=(currentResult.className!=null)?currentResult.className:"";
- currentProfile.testName=(currentResult.name!=null)?currentResult.name:"";
- int testIndex=testCompetencyProfiles.indexOf(currentProfile);
- if(testIndex!=-1) {
- sumSuccessful=ICompetencyProfile.competencySum(sumSuccessful, testCompetencyProfiles.get(testIndex).competencyAssessments);
+ LOG.debug("Processing result: {} with success state: {}", currentResult.name, isSuccess);
+
+ if (isSuccess == success) {
+ TestCompetencyProfile currentProfile = new TestCompetencyProfile();
+ currentProfile.testPackageName = (currentResult.packageName != null) ? currentResult.packageName : "";
+ currentProfile.testClassName = (currentResult.className != null) ? currentResult.className : "";
+ currentProfile.testName = (currentResult.name != null) ? currentResult.name : "";
+
+ int testIndex = testCompetencyProfiles.indexOf(currentProfile);
+ if (testIndex != -1) {
+ LOG.debug("Found matching profile for result: {}. Adding competencies.", currentResult.name);
+ sumSuccessful = ICompetencyProfile.competencySum(sumSuccessful, testCompetencyProfiles.get(testIndex).competencyAssessments);
+ } else {
+ LOG.debug("No matching profile found for result: {}", currentResult.name);
}
}
}
+
+ LOG.debug("Completed summing successful competency profiles. Sum: {}", packFloats(sumSuccessful));
return sumSuccessful;
}
-
+
public static List<TestCompetencyProfile> readTestCompetencyProfiles(Path testPath, String fileName) {
- List<TestCompetencyProfile> testCompetencyProfiles=new ArrayList<TestCompetencyProfile>();
- try {
- BufferedReader testCompetencyManifest=new BufferedReader(new FileReader(new File(testPath.toFile(), fileName)));
- String testEntry=testCompetencyManifest.readLine();
- while(testEntry!=null)
- {
- String[] testEntyComponents=testEntry.split(ICompetencyProfile.COMPETENCY_SEPARATOR);
- TestCompetencyProfile currentProfile=new TestCompetencyProfile();
- currentProfile.testPackageName=testEntyComponents[0];
- currentProfile.testClassName=testEntyComponents[1];
- currentProfile.testName=testEntyComponents[2];
- for(int competencyIndex=0; competencyIndex<ICompetencyProfile.MAX_COMPETENCY_DIMENSIONS; competencyIndex++) {
- currentProfile.competencyAssessments[competencyIndex]=Float.valueOf(testEntyComponents[competencyIndex+3]);
+ LOG.debug("Reading test competency profiles from path: {}, file: {}", testPath, fileName);
+
+ List<TestCompetencyProfile> testCompetencyProfiles = new ArrayList<>();
+ try (BufferedReader testCompetencyManifest = new BufferedReader(new FileReader(new File(testPath.toFile(), fileName)))) {
+ String testEntry = testCompetencyManifest.readLine();
+
+ while (testEntry != null) {
+ String[] testEntyComponents = testEntry.split(ICompetencyProfile.COMPETENCY_SEPARATOR);
+ TestCompetencyProfile currentProfile = new TestCompetencyProfile();
+
+ currentProfile.testPackageName = testEntyComponents[0];
+ currentProfile.testClassName = testEntyComponents[1];
+ currentProfile.testName = testEntyComponents[2];
+ for (int competencyIndex = 0; competencyIndex < ICompetencyProfile.MAX_COMPETENCY_DIMENSIONS; competencyIndex++) {
+ currentProfile.competencyAssessments[competencyIndex] = Float.valueOf(testEntyComponents[competencyIndex + 3]);
}
+
testCompetencyProfiles.add(currentProfile);
- testEntry=testCompetencyManifest.readLine();
+ LOG.debug("Added test competency profile: {}", currentProfile.testName);
+
+ testEntry = testCompetencyManifest.readLine();
}
- testCompetencyManifest.close();
- LOG.info("Added "+testCompetencyProfiles.size()+" test competency profiles from test competency manifest. Optional agent functionality enabled.");
+
+ LOG.info("Added {} test competency profiles from manifest.", testCompetencyProfiles.size());
} catch (FileNotFoundException e) {
- LOG.info("Test competency manifest file for agent feedback not found. Skipping optional functionality.");
- testCompetencyProfiles=null;
+ LOG.info("Test competency manifest file not found. Skipping functionality.");
} catch (IOException e) {
- LOG.info("Test competency manifest file for agent feedback unreadable. Skipping optional functionality.");
- testCompetencyProfiles=null;
- }
+ LOG.info("Test competency manifest file unreadable. Skipping functionality.");
+ }
+
return testCompetencyProfiles;
}
-
+
public static List<ExerciseCompetencyProfile> readExerciseCompetencyProfiles(Path exercisePath, String fileName) {
- List<ExerciseCompetencyProfile> exerciseCompetencyProfiles = new ArrayList<>();
-
- try (BufferedReader exerciseCompetencyManifest = new BufferedReader(new FileReader(new File(exercisePath.toFile(), fileName)))) {
- String exerciseEntry = exerciseCompetencyManifest.readLine();
-
- while (exerciseEntry != null) {
- String[] exerciseEntyComponents = exerciseEntry.split(ExerciseCompetencyProfile.COMPETENCY_SEPARATOR);
- ExerciseCompetencyProfile currentProfile = new ExerciseCompetencyProfile();
-
- currentProfile.exerciseTopicName = exerciseEntyComponents[0];
- currentProfile.exerciseName = exerciseEntyComponents[1];
- currentProfile.exerciseURL = exerciseEntyComponents[2];
-
- for (int competencyIndex = 0; competencyIndex < ExerciseCompetencyProfile.MAX_COMPETENCY_DIMENSIONS; competencyIndex++) {
- currentProfile.competencyAssessments[competencyIndex] = Float.valueOf(exerciseEntyComponents[competencyIndex+3]);
- }
-
- currentProfile.difficulty = Float.parseFloat(exerciseEntyComponents[19]);
-
- exerciseCompetencyProfiles.add(currentProfile);
-
- exerciseEntry = exerciseCompetencyManifest.readLine();
- }
- exerciseCompetencyManifest.close();
- LOG.info("Added " + exerciseCompetencyProfiles.size() + " test competency profiles from exercise competency manifest.");
- } catch (FileNotFoundException e) {
- LOG.info("Exercise competency manifest file not found.");
- } catch (IOException e) {
- LOG.info("Exercise competency manifest file unreadable.");
- }
-
- return exerciseCompetencyProfiles;
+ LOG.debug("Reading exercise competency profiles from path: {}, file: {}", exercisePath, fileName);
+
+ List<ExerciseCompetencyProfile> exerciseCompetencyProfiles = new ArrayList<>();
+
+ try (BufferedReader exerciseCompetencyManifest = new BufferedReader(new FileReader(new File(exercisePath.toFile(), fileName)))) {
+ String exerciseEntry = exerciseCompetencyManifest.readLine();
+
+ while (exerciseEntry != null) {
+ String[] exerciseEntyComponents = exerciseEntry.split(ExerciseCompetencyProfile.COMPETENCY_SEPARATOR);
+ ExerciseCompetencyProfile currentProfile = new ExerciseCompetencyProfile();
+
+ currentProfile.exerciseTopicName = exerciseEntyComponents[0];
+ currentProfile.exerciseName = exerciseEntyComponents[1];
+ currentProfile.exerciseURL = exerciseEntyComponents[2];
+
+ for (int competencyIndex = 0; competencyIndex < ExerciseCompetencyProfile.MAX_COMPETENCY_DIMENSIONS; competencyIndex++) {
+ currentProfile.competencyAssessments[competencyIndex] = Float.valueOf(exerciseEntyComponents[competencyIndex + 3]);
+ }
+
+ currentProfile.difficulty = Float.parseFloat(exerciseEntyComponents[19]);
+
+ exerciseCompetencyProfiles.add(currentProfile);
+ LOG.debug("Added exercise competency profile: {}", currentProfile.exerciseName);
+
+ exerciseEntry = exerciseCompetencyManifest.readLine();
+ }
+
+ LOG.info("Added {} exercise competency profiles from manifest.", exerciseCompetencyProfiles.size());
+ } catch (FileNotFoundException e) {
+ LOG.info("Exercise competency manifest file not found.");
+ } catch (IOException e) {
+ LOG.info("Exercise competency manifest file unreadable.");
+ }
+
+ return exerciseCompetencyProfiles;
}
public static String packFloats(float[] array) {
+ LOG.debug("Packing float array into string: {}", array);
return IntStream.range(0, array.length)
- .mapToObj(i -> String.valueOf(array[i]))
- .collect(Collectors.joining(";"));
+ .mapToObj(i -> String.valueOf(array[i]))
+ .collect(Collectors.joining(";"));
}
-
}
diff --git a/src/main/java/de/hftstuttgart/dtabackend/utils/ExecuteTestUtil.java b/src/main/java/de/hftstuttgart/dtabackend/utils/ExecuteTestUtil.java
index 1fb38614fa145d96c3ee6c64f2879c7da6396884..e8bf1dfaf15ca300a6990095b39a8babd2fb0671 100644
--- a/src/main/java/de/hftstuttgart/dtabackend/utils/ExecuteTestUtil.java
+++ b/src/main/java/de/hftstuttgart/dtabackend/utils/ExecuteTestUtil.java
@@ -71,7 +71,7 @@ public class ExecuteTestUtil {
assignmentBasePath + assignmentId + "_checkout",
testPath.toString() );
Files.copy(Paths.get(
- assignmentBasePath, assignmentId + "_checkout",
+ assignmentBasePath, assignmentId + "_checkout",
CompetencyAssessmentUtil.EXERCISE_COMPETENCY_MANIFEST_FILE_NAME),
Paths.get(
testPath.toString(),
@@ -177,99 +177,153 @@ public class ExecuteTestUtil {
return resultSummary;
}
- /*
- * exercise recommendation part
- */
- public List<Recommendation> recommendNextExercises(String assignmentId, Path testPathHost, List<TestCompetencyProfile> testCompetencyProfiles, ResultSummary resultSummary)
- throws FileNotFoundException {
- // fetch repo url from original test upload
- Pattern pattern = Pattern.compile(RegexUtil.DTA_TESTCONFIGREGEX);
- File file = Paths.get(assignmentBasePath, assignmentId + ".txt").toFile();
- FileInputStream configFileStream = new FileInputStream(file);
- Matcher config = RegexUtil.extractConfig(configFileStream, pattern);
- String testRepoURL = config.group(1);
-
- List<ExerciseCompetencyProfile> exerciseCompetencyProfiles = CompetencyAssessmentUtil.readExerciseCompetencyProfiles(testPathHost, CompetencyAssessmentUtil.EXERCISE_COMPETENCY_MANIFEST_FILE_NAME);
-
- int currentTopicIndex=0;
- float currentDifficulty=0.0f;
-
- //build course topic order
- Map<String, Integer> topicOrder = new HashMap<>();
- int order = 1;
- for (ExerciseCompetencyProfile e : exerciseCompetencyProfiles) {
- if (!topicOrder.containsKey(e.exerciseTopicName)) {
- topicOrder.put(e.exerciseTopicName, order++);
- }
- if (e.exerciseURL.equals(testRepoURL)) {
- currentTopicIndex = order;
- currentDifficulty = e.difficulty;
- }
+/*
+ * exercise recommendation part
+ */
+public List<Recommendation> recommendNextExercises(String assignmentId, Path testPathHost, List<TestCompetencyProfile> testCompetencyProfiles, ResultSummary resultSummary)
+ throws FileNotFoundException {
+ LOG.debug("Starting recommendNextExercises with assignmentId: {}", assignmentId);
+
+ // fetch repo url from original test upload
+ Pattern pattern = Pattern.compile(RegexUtil.DTA_TESTCONFIGREGEX);
+ LOG.debug("Compiled regex pattern for DTA_TESTCONFIGREGEX.");
+
+ File file = Paths.get(assignmentBasePath, assignmentId + ".txt").toFile();
+ LOG.debug("Resolved file path for assignmentId {}: {}", assignmentId, file.getAbsolutePath());
+
+ FileInputStream configFileStream = new FileInputStream(file);
+ LOG.debug("Opened FileInputStream for file: {}", file.getAbsolutePath());
+
+ Matcher config = RegexUtil.extractConfig(configFileStream, pattern);
+ LOG.debug("Extracted configuration using regex pattern.");
+
+ String testRepoURL = config.group(1) + config.group(4);
+ LOG.debug("Constructed testRepoURL: {}", testRepoURL);
+
+ List<ExerciseCompetencyProfile> exerciseCompetencyProfiles = CompetencyAssessmentUtil.readExerciseCompetencyProfiles(
+ testPathHost, CompetencyAssessmentUtil.EXERCISE_COMPETENCY_MANIFEST_FILE_NAME);
+ LOG.debug("Read exercise competency profiles from path: {}", testPathHost.resolve(CompetencyAssessmentUtil.EXERCISE_COMPETENCY_MANIFEST_FILE_NAME));
+
+ int currentTopicIndex = 0;
+ float currentDifficulty = 0.0f;
+
+ // build course topic order
+ LOG.debug("Building course topic order.");
+ Map<String, Integer> topicOrder = new HashMap<>();
+ int order = 1;
+ for (ExerciseCompetencyProfile e : exerciseCompetencyProfiles) {
+ if (!topicOrder.containsKey(e.exerciseTopicName)) {
+ topicOrder.put(e.exerciseTopicName, order++);
+ LOG.debug("Added topic {} to topicOrder with order {}", e.exerciseTopicName, order - 1);
}
-
- //filter exercises according to success
- float[] unsuccessful = CompetencyAssessmentUtil.sumSuccessfulCompetencyProfiles(testCompetencyProfiles, resultSummary, false);
- List<ExerciseCompetencyProfile> filteredExercises = filterExercisesByTopicsAndDifficulty(
- exerciseCompetencyProfiles, topicOrder, currentTopicIndex, testRepoURL,
- currentDifficulty, unsuccessful, resultSummary);
-
- //compute recommendations
- List<Recommendation> recommendedExercises = new ArrayList<>();
- for (ExerciseCompetencyProfile exerciseProfile : filteredExercises) {
- Recommendation recommendation = new Recommendation(exerciseProfile.exerciseTopicName, exerciseProfile.exerciseURL, exerciseProfile.exerciseName,
- exerciseProfile.difficulty, calculateScore(exerciseProfile, unsuccessful, topicOrder, currentDifficulty));
- recommendedExercises.add(recommendation);
- LOG.info("Recommending exercise "+recommendation.topic+"/"+recommendation.exerciseName+" with score "+recommendation.score);
+ if (e.exerciseURL.equals(testRepoURL)) {
+ currentTopicIndex = order;
+ currentDifficulty = e.difficulty;
+ LOG.debug("Matched current testRepoURL to topic: {}, index: {}, difficulty: {}", e.exerciseTopicName, currentTopicIndex, currentDifficulty);
}
- //sort the recommendations for successful or resilient learners, otherwise reverse in display
- recommendedExercises.stream().sorted(Recommendation.COMPARE_BY_SCORE).collect(Collectors.toList());
-
- return recommendedExercises;
}
- public static List<ExerciseCompetencyProfile> filterExercisesByTopicsAndDifficulty(List<ExerciseCompetencyProfile> exerciseCompetencyProfiles,
- Map<String, Integer> topicOrder, int currentTopicIndex, String testRepoURL, float currentDifficulty, float[] unsuccessful,
- ResultSummary resultSummary) {
- //filter out all advanced topics in any case
- //option for later: include next topic if fullsuccess and current difficulty == max difficulty
- List<ExerciseCompetencyProfile> filteredExercises = exerciseCompetencyProfiles.stream()
- .filter(testProfile -> topicOrder.get(testProfile.exerciseTopicName) <= currentTopicIndex)
- .collect(Collectors.toList());
-
- //filter by difficulty according to success
- if (isFullSuccess(unsuccessful)) {
- filteredExercises = filteredExercises.stream().filter(profile -> profile.difficulty >= currentDifficulty && !testRepoURL.equals(profile.exerciseURL)).collect(Collectors.toList());
- } else {
- filteredExercises = filteredExercises.stream().filter(profile -> profile.difficulty <= currentDifficulty).collect(Collectors.toList());
- }
+ // filter exercises according to success
+ LOG.debug("Filtering exercises according to success.");
+ float[] unsuccessful = CompetencyAssessmentUtil.sumSuccessfulCompetencyProfiles(testCompetencyProfiles, resultSummary, false);
+ LOG.debug("Computed unsuccessful competency profile: {}", unsuccessful);
- return filteredExercises;
- }
-
- public static boolean isFullSuccess(float[] unsuccessful) {
- for (float value : unsuccessful) {
- if (value != 0.0f) {
- return false;
- }
- }
- return true;
- }
+ List<ExerciseCompetencyProfile> filteredExercises = filterExercisesByTopicsAndDifficulty(
+ exerciseCompetencyProfiles, topicOrder, currentTopicIndex, testRepoURL,
+ currentDifficulty, unsuccessful, resultSummary);
+ LOG.debug("Filtered exercises count: {}", filteredExercises.size());
- public static float calculateScore(ExerciseCompetencyProfile exerciseProfile, float[] unsuccessful, Map<String, Integer> topicOrder, float currentDifficulty) {
- //ensure factor 1 for full success not to blank out score, thus offset the base
- float score = 1.0f;
- //competency profile difference to not fully achieved competencies component
- for (int i = 0; i < exerciseProfile.competencyAssessments.length-1; i++) {
- score += exerciseProfile.competencyAssessments[i] * unsuccessful[i];
- }
-
- //difficulty component
- score = score * (exerciseProfile.difficulty*(0.5f+Math.abs(currentDifficulty-exerciseProfile.difficulty)));
-
- //topic component
- score *= topicOrder.get(exerciseProfile.exerciseTopicName);
-
- score = Math.round(score * 10.0f) / 10.0f;
- return score;
+ // compute recommendations
+ LOG.debug("Computing recommendations from filtered exercises.");
+ List<Recommendation> recommendedExercises = new ArrayList<>();
+ for (ExerciseCompetencyProfile exerciseProfile : filteredExercises) {
+ Recommendation recommendation = new Recommendation(
+ exerciseProfile.exerciseTopicName, exerciseProfile.exerciseURL, exerciseProfile.exerciseName,
+ exerciseProfile.difficulty, calculateScore(exerciseProfile, unsuccessful, topicOrder, currentDifficulty));
+ recommendedExercises.add(recommendation);
+ LOG.info("Recommending exercise {}/{} with score {}", recommendation.topic, recommendation.exerciseName, recommendation.score);
}
+
+ // sort the recommendations for successful or resilient learners, otherwise reverse in display
+ LOG.debug("Sorting recommendations.");
+ recommendedExercises.stream().sorted(Recommendation.COMPARE_BY_SCORE).collect(Collectors.toList());
+
+ LOG.debug("Completed recommendNextExercises with {} recommendations.", recommendedExercises.size());
+ return recommendedExercises;
+}
+
+ public static List<ExerciseCompetencyProfile> filterExercisesByTopicsAndDifficulty(
+ List<ExerciseCompetencyProfile> exerciseCompetencyProfiles,
+ Map<String, Integer> topicOrder, int currentTopicIndex, String testRepoURL,
+ float currentDifficulty, float[] unsuccessful, ResultSummary resultSummary) {
+
+ LOG.debug("Starting filterExercisesByTopicsAndDifficulty with currentTopicIndex: {}, currentDifficulty: {}, testRepoURL: {}",
+ currentTopicIndex, currentDifficulty, testRepoURL);
+
+ // Filter out all advanced topics in any case
+ List<ExerciseCompetencyProfile> filteredExercises = exerciseCompetencyProfiles.stream()
+ .filter(testProfile -> topicOrder.get(testProfile.exerciseTopicName) <= currentTopicIndex)
+ .collect(Collectors.toList());
+ LOG.debug("Filtered exercises by topic index. Remaining exercises count: {}", filteredExercises.size());
+
+ // Filter by difficulty according to success
+ if (isFullSuccess(unsuccessful)) {
+ LOG.debug("Detected full success, filtering exercises with difficulty >= {} and excluding current testRepoURL.", currentDifficulty);
+ filteredExercises = filteredExercises.stream()
+ .filter(profile -> profile.difficulty >= currentDifficulty && !testRepoURL.equals(profile.exerciseURL))
+ .collect(Collectors.toList());
+ } else {
+ LOG.debug("Detected partial success, filtering exercises with difficulty <= {}.", currentDifficulty);
+ filteredExercises = filteredExercises.stream()
+ .filter(profile -> profile.difficulty <= currentDifficulty)
+ .collect(Collectors.toList());
+ }
+
+ LOG.debug("Filtered exercises count after difficulty filter: {}", filteredExercises.size());
+ return filteredExercises;
+}
+
+public static boolean isFullSuccess(float[] unsuccessful) {
+ LOG.debug("Checking for full success. Unsuccessful array: {}", unsuccessful);
+ for (float value : unsuccessful) {
+ if (value != 0.0f) {
+ LOG.debug("Found non-zero value in unsuccessful array: {}. Returning false for full success.", value);
+ return false;
+ }
+ }
+ LOG.debug("All values in unsuccessful array are zero. Returning true for full success.");
+ return true;
+}
+
+public static float calculateScore(ExerciseCompetencyProfile exerciseProfile, float[] unsuccessful,
+ Map<String, Integer> topicOrder, float currentDifficulty) {
+ LOG.debug("Starting calculateScore for exercise: {}, difficulty: {}, currentDifficulty: {}",
+ exerciseProfile.exerciseName, exerciseProfile.difficulty, currentDifficulty);
+
+ float score = 1.0f;
+ LOG.debug("Initial score set to 1.0");
+
+ // Competency profile difference to not fully achieved competencies component
+ for (int i = 0; i < exerciseProfile.competencyAssessments.length - 1; i++) {
+ float adjustment = exerciseProfile.competencyAssessments[i] * unsuccessful[i];
+ score += adjustment;
+ LOG.debug("Adjusted score by competency index {}: {}, new score: {}", i, adjustment, score);
+ }
+
+ // Difficulty component
+ float difficultyComponent = exerciseProfile.difficulty * (0.5f + Math.abs(currentDifficulty - exerciseProfile.difficulty));
+ score = score * difficultyComponent;
+ LOG.debug("Applied difficulty component: {}, updated score: {}", difficultyComponent, score);
+
+ // Topic component
+ float topicMultiplier = topicOrder.get(exerciseProfile.exerciseTopicName);
+ score *= topicMultiplier;
+ LOG.debug("Applied topic multiplier: {}, updated score: {}", topicMultiplier, score);
+
+ // Round score
+ score = Math.round(score * 10.0f) / 10.0f;
+ LOG.debug("Final rounded score: {}", score);
+
+ return score;
+}
}
\ No newline at end of file