Python Assessment.get_median_score_dict方法代码示例

# 需要导入模块: from openassessment.assessment.models import Assessment [as 别名]
# 或者: from openassessment.assessment.models.Assessment import get_median_score_dict [as 别名]
def get_assessment_median_scores(submission_uuid):
    """Get the median score for each rubric criterion

    For a given assessment, collect the median score for each criterion on the
    rubric. This set can be used to determine the overall score, as well as each
    part of the individual rubric scores.

    If there is a true median score, it is returned. If there are two median
    values, the average of those two values is returned, rounded up to the
    greatest integer value.

    Args:
        submission_uuid (str): The submission uuid is used to get the
            assessments used to score this submission, and generate the
            appropriate median score.

    Returns:
        dict: A dictionary of rubric criterion names,
        with a median score of the peer assessments.

    Raises:
        PeerAssessmentInternalError: If any error occurs while retrieving
            information to form the median scores, an error is raised.
    """
    try:
        workflow = PeerWorkflow.objects.get(submission_uuid=submission_uuid)
        items = workflow.graded_by.filter(scored=True)
        assessments = [item.assessment for item in items]
        scores = Assessment.scores_by_criterion(assessments)
        return Assessment.get_median_score_dict(scores)
    except DatabaseError:
        error_message = (u"Error getting assessment median scores for submission {uuid}").format(uuid=submission_uuid)
        logger.exception(error_message)
        raise PeerAssessmentInternalError(error_message)

# 需要导入模块: from openassessment.assessment.models import Assessment [as 别名]
# 或者: from openassessment.assessment.models.Assessment import get_median_score_dict [as 别名]
def get_assessment_scores_by_criteria(submission_uuid):
    """Get the median score for each rubric criterion

    Args:
        submission_uuid (str): The submission uuid is used to get the
            assessments used to score this submission, and generate the
            appropriate median score.

    Returns:
        (dict): A dictionary of rubric criterion names, with a median score of
            the peer assessments.

    Raises:
        SelfAssessmentInternalError: If any error occurs while retrieving
            information to form the median scores, an error is raised.
    """
    try:
        assessments = list(
            Assessment.objects.filter(
                score_type=SELF_TYPE, submission_uuid=submission_uuid
            ).order_by('-scored_at')[:1]
        )
        scores = Assessment.scores_by_criterion(assessments)
        return Assessment.get_median_score_dict(scores)
    except DatabaseError:
        error_message = _(u"Error getting self assessment scores for {}").format(submission_uuid)
        logger.exception(error_message)
        raise SelfAssessmentInternalError(error_message)

# 需要导入模块: from openassessment.assessment.models import Assessment [as 别名]
# 或者: from openassessment.assessment.models.Assessment import get_median_score_dict [as 别名]
def get_assessment_scores_by_criteria(submission_uuid):
    """Get the score for each rubric criterion

    Args:
        submission_uuid (str): The submission uuid is used to get the
            assessment used to score this submission.

    Returns:
        (dict): A dictionary of rubric criterion names, with a score of
            the example based assessments.

    Raises:
        AIGradingInternalError: If any error occurs while retrieving
            information from the scores, an error is raised.
    """
    try:
        assessments = list(
            Assessment.objects.filter(
                score_type=AI_ASSESSMENT_TYPE, submission_uuid=submission_uuid
            ).order_by('-scored_at')[:1]
        )
        scores = Assessment.scores_by_criterion(assessments)
        return Assessment.get_median_score_dict(scores)
    except DatabaseError:
        error_message = u"Error getting example-based assessment scores for {}".format(submission_uuid)
        logger.exception(error_message)
        raise AIGradingInternalError(error_message)

# 需要导入模块: from openassessment.assessment.models import Assessment [as 别名]
# 或者: from openassessment.assessment.models.Assessment import get_median_score_dict [as 别名]
def get_assessment_scores_by_criteria(submission_uuid):
    """Get the staff score for each rubric criterion

    Args:
        submission_uuid (str): The submission uuid is used to get the
            assessment used to score this submission.

    Returns:
        (dict): A dictionary of rubric criterion names, with a score of
            the staff assessments.

    Raises:
        StaffAssessmentInternalError: If any error occurs while retrieving
            information from the scores, an error is raised.
    """
    try:
        # This will always create a list of length 1
        assessments = list(
            Assessment.objects.filter(
                score_type=STAFF_TYPE, submission_uuid=submission_uuid
            )[:1]
        )
        scores = Assessment.scores_by_criterion(assessments)
        # Since this is only being sent one score, the median score will be the
        # same as the only score.
        return Assessment.get_median_score_dict(scores)
    except DatabaseError:
        error_message = u"Error getting staff assessment scores for {}".format(submission_uuid)
        logger.exception(error_message)
        raise StaffAssessmentInternalError(error_message)

# 需要导入模块: from openassessment.assessment.models import Assessment [as 别名]
# 或者: from openassessment.assessment.models.Assessment import get_median_score_dict [as 别名]
def print_summary(course_id, oa_item, anonymous_student_id):
    # Print submission
    submission = get_submission(course_id, oa_item.location, anonymous_student_id)
    print "Submission status:"
    print_submission(submission, oa_item)

    # Print scored assessment(s)
    scored_items = PeerWorkflowItem.objects.filter(author=submission.id, submission_uuid=submission.submission_uuid, assessment__isnull=False, scored=True).order_by('assessment')
    print "Scored assessment(s):"
    if scored_items:
        scored_assessments = [scored_item.assessment for scored_item in scored_items]
        scored_scores = scores_by_criterion(scored_assessments)
        median_score_dict = Assessment.get_median_score_dict(scored_scores)
        print_peerworkflowitem(scored_items, scored_scores)
    else:
        scored_scores = {}
        print "... No record was found."

    # Print not-scored assessment(s)
    not_scored_items = PeerWorkflowItem.objects.filter(author=submission.id, submission_uuid=submission.submission_uuid, assessment__isnull=False, scored=False).order_by('assessment')
    print "Not-scored assessment(s):"
    if not_scored_items:
        not_scored_assessments = [not_scored_item.assessment for not_scored_item in not_scored_items]
        not_scored_scores = scores_by_criterion(not_scored_assessments)
        print_peerworkflowitem(not_scored_items, not_scored_scores)
    else:
        print "... No record was found."

    # Print latest score
    latest_score = get_latest_score(submission)
    print "Latest score:"
    if latest_score is not None:
        try:
            median_scores = peer_api.get_assessment_median_scores(submission.submission_uuid)
        except:
            median_scores = {}
        latest_score_output = PrettyTable(['Score ID'] + scored_scores.keys() + ['Points earned', 'Points possible', 'Created at'])
        latest_score_output.align = 'l'
        row = []
        row.append(latest_score.id)
        row.extend([median_scores[k] for k in scored_scores.keys()])
        row.append(latest_score.points_earned)
        row.append(latest_score.points_possible)
        row.append(latest_score.created_at)
        latest_score_output.add_row(row)
        print latest_score_output
    else:
        print "... No record was found."