Examples with ModelingPlagiarismResult de.tum.in.www1.artemis.domain.plagiarism.modeling.ModelingPlagiarismResult used on opensource projects

Example 1 with ModelingPlagiarismResult

use of de.tum.in.www1.artemis.domain.plagiarism.modeling.ModelingPlagiarismResult in project ArTEMiS by ls1intum.

the class ModelingPlagiarismDetectionService method checkPlagiarism.

/**
 * Convenience method to extract all latest submissions from a ModelingExercise and compute pair-wise distances.
 *
 * @param exerciseWithParticipationsSubmissionsResults Text Exercise with fetched participations and submissions
 * @param minimumSimilarity                            the minimum similarity so that the result is considered
 * @param minimumModelSize                             the minimum number of model elements to be considered as plagiarism
 * @param minimumScore                                 the minimum result score (if available) to be considered as plagiarism
 * @return List of submission id pairs and similarity score
 */
public ModelingPlagiarismResult checkPlagiarism(ModelingExercise exerciseWithParticipationsSubmissionsResults, double minimumSimilarity, int minimumModelSize, int minimumScore) {
    final List<ModelingSubmission> modelingSubmissions = modelingSubmissionsForComparison(exerciseWithParticipationsSubmissionsResults);
    log.info("Found {} modeling submissions in exercise {}", modelingSubmissions.size(), exerciseWithParticipationsSubmissionsResults.getId());
    Long exerciseId = exerciseWithParticipationsSubmissionsResults.getId();
    ModelingPlagiarismResult result = checkPlagiarism(modelingSubmissions, minimumSimilarity, minimumModelSize, minimumScore, exerciseId);
    result.setExercise(exerciseWithParticipationsSubmissionsResults);
    return result;
}

Example 2 with ModelingPlagiarismResult

use of de.tum.in.www1.artemis.domain.plagiarism.modeling.ModelingPlagiarismResult in project ArTEMiS by ls1intum.

the class ModelingPlagiarismDetectionService method checkPlagiarism.

/**
 * Pairwise comparison of text submissions using a TextComparisonStrategy
 *
 * @param modelingSubmissions List of modeling submissions
 * @param minimumSimilarity   the minimum similarity so that the result is considered
 * @param minimumModelSize    the minimum number of model elements to be considered as plagiarism
 * @param minimumScore        the minimum result score (if available) to be considered as plagiarism
 * @param exerciseId          the id of the exercise for which the modeling submissions are compared
 *
 * @return List of submission id pairs and similarity score
 */
public ModelingPlagiarismResult checkPlagiarism(List<ModelingSubmission> modelingSubmissions, double minimumSimilarity, int minimumModelSize, int minimumScore, Long exerciseId) {
    String topic = plagiarismWebsocketService.getModelingExercisePlagiarismCheckTopic(exerciseId);
    ModelingPlagiarismResult result = new ModelingPlagiarismResult();
    Map<UMLDiagram, ModelingSubmission> models = new HashMap<>();
    ObjectMapper objectMapper = new ObjectMapper();
    AtomicInteger processedSubmissionCount = new AtomicInteger(1);
    modelingSubmissions.stream().filter(modelingSubmission -> !modelingSubmission.isEmpty(objectMapper)).filter(modelingSubmission -> minimumScore == 0 || modelingSubmission.getLatestResult() != null && modelingSubmission.getLatestResult().getScore() != null && modelingSubmission.getLatestResult().getScore() >= minimumScore).forEach(modelingSubmission -> {
        String progressMessage = "Getting UML diagram for submission: " + processedSubmissionCount + "/" + modelingSubmissions.size();
        plagiarismWebsocketService.notifyInstructorAboutPlagiarismState(topic, PlagiarismCheckState.RUNNING, List.of(progressMessage));
        try {
            log.debug("Build UML diagram from json");
            UMLDiagram model = UMLModelParser.buildModelFromJSON(parseString(modelingSubmission.getModel()).getAsJsonObject(), modelingSubmission.getId());
            if (model.getAllModelElements().size() >= minimumModelSize) {
                models.put(model, modelingSubmission);
            }
        } catch (IOException e) {
            log.error("Parsing the modeling submission " + modelingSubmission.getId() + " did throw an exception:", e);
        }
        processedSubmissionCount.getAndIncrement();
    });
    log.info("Found {} modeling submissions with at least {} elements to compare", models.size(), minimumModelSize);
    Set<PlagiarismComparison<ModelingSubmissionElement>> comparisons = new HashSet<>();
    List<UMLDiagram> nonEmptyDiagrams = new ArrayList<>(models.keySet());
    long timeBeforeStartInMillis = System.currentTimeMillis();
    // similarity between two different submissions once
    for (int i = 0; i < nonEmptyDiagrams.size(); i++) {
        String progressMessage = "Comparing submissions: " + (i + 1) + "/" + nonEmptyDiagrams.size();
        plagiarismWebsocketService.notifyInstructorAboutPlagiarismState(topic, PlagiarismCheckState.RUNNING, List.of(progressMessage));
        for (int j = i + 1; j < nonEmptyDiagrams.size(); j++) {
            UMLDiagram model1 = nonEmptyDiagrams.get(i);
            UMLDiagram model2 = nonEmptyDiagrams.get(j);
            final double similarity = model1.similarity(model2);
            log.debug("Compare result {} with {}: {}", i, j, similarity);
            if (similarity < minimumSimilarity) {
                // ignore comparison results with too small similarity
                continue;
            }
            ModelingSubmission modelingSubmissionA = models.get(model1);
            ModelingSubmission modelingSubmissionB = models.get(model2);
            log.info("Found similar models {} with {}: {}", i, j, similarity);
            PlagiarismSubmission<ModelingSubmissionElement> submissionA = PlagiarismSubmission.fromModelingSubmission(modelingSubmissionA);
            submissionA.setSize(model1.getAllModelElements().size());
            submissionA.setElements(model1.getAllModelElements().stream().map(ModelingSubmissionElement::fromUMLElement).collect(Collectors.toList()));
            PlagiarismSubmission<ModelingSubmissionElement> submissionB = PlagiarismSubmission.fromModelingSubmission(modelingSubmissionB);
            submissionB.setSize(model2.getAllModelElements().size());
            submissionB.setElements(model2.getAllModelElements().stream().map(ModelingSubmissionElement::fromUMLElement).collect(Collectors.toList()));
            PlagiarismComparison<ModelingSubmissionElement> comparison = new PlagiarismComparison<>();
            comparison.setPlagiarismResult(result);
            comparison.setSimilarity(similarity * 100);
            comparison.setSubmissionA(submissionA);
            comparison.setSubmissionB(submissionB);
            // TODO: Add matches to highlight similar modeling elements
            comparison.setMatches(new HashSet<>());
            comparisons.add(comparison);
        }
    }
    log.info("Found {} similar modeling submission combinations (>{})", comparisons.size(), minimumSimilarity);
    plagiarismWebsocketService.notifyInstructorAboutPlagiarismState(topic, PlagiarismCheckState.COMPLETED, List.of());
    long durationInMillis = System.currentTimeMillis() - timeBeforeStartInMillis;
    int[] similarityDistribution = calculateSimilarityDistribution(comparisons);
    result.setComparisons(comparisons);
    result.setDuration(durationInMillis);
    result.setSimilarityDistribution(similarityDistribution);
    return result;
}

Example 3 with ModelingPlagiarismResult

use of de.tum.in.www1.artemis.domain.plagiarism.modeling.ModelingPlagiarismResult in project ArTEMiS by ls1intum.

the class ModelingExerciseIntegrationTest method testGetPlagiarismResultWithoutExercise.

@Test
@WithMockUser(username = "instructor1", roles = "INSTRUCTOR")
public void testGetPlagiarismResultWithoutExercise() throws Exception {
    ModelingPlagiarismResult result = request.get("/api/modeling-exercises/" + 1 + "/plagiarism-result", HttpStatus.NOT_FOUND, ModelingPlagiarismResult.class);
    assertThat(result).isNull();
}

Example 4 with ModelingPlagiarismResult

use of de.tum.in.www1.artemis.domain.plagiarism.modeling.ModelingPlagiarismResult in project Artemis by ls1intum.

the class ModelingPlagiarismDetectionService method checkPlagiarism.

/**
 * Pairwise comparison of text submissions using a TextComparisonStrategy
 *
 * @param modelingSubmissions List of modeling submissions
 * @param minimumSimilarity   the minimum similarity so that the result is considered
 * @param minimumModelSize    the minimum number of model elements to be considered as plagiarism
 * @param minimumScore        the minimum result score (if available) to be considered as plagiarism
 * @param exerciseId          the id of the exercise for which the modeling submissions are compared
 *
 * @return List of submission id pairs and similarity score
 */
public ModelingPlagiarismResult checkPlagiarism(List<ModelingSubmission> modelingSubmissions, double minimumSimilarity, int minimumModelSize, int minimumScore, Long exerciseId) {
    String topic = plagiarismWebsocketService.getModelingExercisePlagiarismCheckTopic(exerciseId);
    ModelingPlagiarismResult result = new ModelingPlagiarismResult();
    Map<UMLDiagram, ModelingSubmission> models = new HashMap<>();
    ObjectMapper objectMapper = new ObjectMapper();
    AtomicInteger processedSubmissionCount = new AtomicInteger(1);
    modelingSubmissions.stream().filter(modelingSubmission -> !modelingSubmission.isEmpty(objectMapper)).filter(modelingSubmission -> minimumScore == 0 || modelingSubmission.getLatestResult() != null && modelingSubmission.getLatestResult().getScore() != null && modelingSubmission.getLatestResult().getScore() >= minimumScore).forEach(modelingSubmission -> {
        String progressMessage = "Getting UML diagram for submission: " + processedSubmissionCount + "/" + modelingSubmissions.size();
        plagiarismWebsocketService.notifyInstructorAboutPlagiarismState(topic, PlagiarismCheckState.RUNNING, List.of(progressMessage));
        try {
            log.debug("Build UML diagram from json");
            UMLDiagram model = UMLModelParser.buildModelFromJSON(parseString(modelingSubmission.getModel()).getAsJsonObject(), modelingSubmission.getId());
            if (model.getAllModelElements().size() >= minimumModelSize) {
                models.put(model, modelingSubmission);
            }
        } catch (IOException e) {
            log.error("Parsing the modeling submission " + modelingSubmission.getId() + " did throw an exception:", e);
        }
        processedSubmissionCount.getAndIncrement();
    });
    log.info("Found {} modeling submissions with at least {} elements to compare", models.size(), minimumModelSize);
    Set<PlagiarismComparison<ModelingSubmissionElement>> comparisons = new HashSet<>();
    List<UMLDiagram> nonEmptyDiagrams = new ArrayList<>(models.keySet());
    long timeBeforeStartInMillis = System.currentTimeMillis();
    // similarity between two different submissions once
    for (int i = 0; i < nonEmptyDiagrams.size(); i++) {
        String progressMessage = "Comparing submissions: " + (i + 1) + "/" + nonEmptyDiagrams.size();
        plagiarismWebsocketService.notifyInstructorAboutPlagiarismState(topic, PlagiarismCheckState.RUNNING, List.of(progressMessage));
        for (int j = i + 1; j < nonEmptyDiagrams.size(); j++) {
            UMLDiagram model1 = nonEmptyDiagrams.get(i);
            UMLDiagram model2 = nonEmptyDiagrams.get(j);
            final double similarity = model1.similarity(model2);
            log.debug("Compare result {} with {}: {}", i, j, similarity);
            if (similarity < minimumSimilarity) {
                // ignore comparison results with too small similarity
                continue;
            }
            ModelingSubmission modelingSubmissionA = models.get(model1);
            ModelingSubmission modelingSubmissionB = models.get(model2);
            log.info("Found similar models {} with {}: {}", i, j, similarity);
            PlagiarismSubmission<ModelingSubmissionElement> submissionA = PlagiarismSubmission.fromModelingSubmission(modelingSubmissionA);
            submissionA.setSize(model1.getAllModelElements().size());
            submissionA.setElements(model1.getAllModelElements().stream().map(ModelingSubmissionElement::fromUMLElement).collect(Collectors.toList()));
            PlagiarismSubmission<ModelingSubmissionElement> submissionB = PlagiarismSubmission.fromModelingSubmission(modelingSubmissionB);
            submissionB.setSize(model2.getAllModelElements().size());
            submissionB.setElements(model2.getAllModelElements().stream().map(ModelingSubmissionElement::fromUMLElement).collect(Collectors.toList()));
            PlagiarismComparison<ModelingSubmissionElement> comparison = new PlagiarismComparison<>();
            comparison.setPlagiarismResult(result);
            comparison.setSimilarity(similarity * 100);
            comparison.setSubmissionA(submissionA);
            comparison.setSubmissionB(submissionB);
            // TODO: Add matches to highlight similar modeling elements
            comparison.setMatches(new HashSet<>());
            comparisons.add(comparison);
        }
    }
    log.info("Found {} similar modeling submission combinations (>{})", comparisons.size(), minimumSimilarity);
    plagiarismWebsocketService.notifyInstructorAboutPlagiarismState(topic, PlagiarismCheckState.COMPLETED, List.of());
    long durationInMillis = System.currentTimeMillis() - timeBeforeStartInMillis;
    int[] similarityDistribution = calculateSimilarityDistribution(comparisons);
    result.setComparisons(comparisons);
    result.setDuration(durationInMillis);
    result.setSimilarityDistribution(similarityDistribution);
    return result;
}

Example 5 with ModelingPlagiarismResult

use of de.tum.in.www1.artemis.domain.plagiarism.modeling.ModelingPlagiarismResult in project Artemis by ls1intum.

the class ModelingExerciseResource method checkPlagiarism.

/**
 * GET modeling-exercises/{exerciseId}/check-plagiarism
 * <p>
 * Start the automated plagiarism detection for the given exercise and return its result.
 *
 * @param exerciseId          for which all submission should be checked
 * @param similarityThreshold ignore comparisons whose similarity is below this threshold (%)
 * @param minimumScore        consider only submissions whose score is greater or equal to this
 *                            value
 * @param minimumSize         consider only submissions whose size is greater or equal to this
 *                            value
 * @return the ResponseEntity with status 200 (OK) and the list of at most 500 pair-wise submissions with a similarity above the given threshold (e.g. 50%).
 */
@GetMapping("modeling-exercises/{exerciseId}/check-plagiarism")
@FeatureToggle(Feature.PlagiarismChecks)
@PreAuthorize("hasRole('INSTRUCTOR')")
public ResponseEntity<ModelingPlagiarismResult> checkPlagiarism(@PathVariable long exerciseId, @RequestParam float similarityThreshold, @RequestParam int minimumScore, @RequestParam int minimumSize) {
    var modelingExercise = modelingExerciseRepository.findByIdWithStudentParticipationsSubmissionsResultsElseThrow(exerciseId);
    authCheckService.checkHasAtLeastRoleForExerciseElseThrow(Role.INSTRUCTOR, modelingExercise, null);
    long start = System.nanoTime();
    log.info("Start modelingPlagiarismDetectionService.checkPlagiarism for exercise {}", exerciseId);
    ModelingPlagiarismResult result = modelingPlagiarismDetectionService.checkPlagiarism(modelingExercise, similarityThreshold / 100, minimumSize, minimumScore);
    log.info("Finished modelingPlagiarismDetectionService.checkPlagiarism call for {} comparisons in {}", result.getComparisons().size(), TimeLogUtil.formatDurationFrom(start));
    // TODO: limit the amount temporarily because of database issues
    result.sortAndLimit(100);
    log.info("Limited number of comparisons to {} to avoid performance issues when saving to database", result.getComparisons().size());
    start = System.nanoTime();
    plagiarismResultRepository.savePlagiarismResultAndRemovePrevious(result);
    log.info("Finished plagiarismResultRepository.savePlagiarismResultAndRemovePrevious call in {}", TimeLogUtil.formatDurationFrom(start));
    for (var comparison : result.getComparisons()) {
        comparison.setPlagiarismResult(null);
    }
    return ResponseEntity.ok(result);
}