Python api.get_scores函数代码示例

    def test_reset_different_student_item(self, changed):
        # Create a submissions for two students
        submission = sub_api.create_submission(self.STUDENT_ITEM, "test answer")
        sub_api.set_score(submission["uuid"], 1, 2)

        other_student = copy.copy(self.STUDENT_ITEM)
        other_student.update(changed)
        submission = sub_api.create_submission(other_student, "other test answer")
        sub_api.set_score(submission["uuid"], 3, 4)

        # Reset the score for the first student
        sub_api.reset_score(
            self.STUDENT_ITEM["student_id"], self.STUDENT_ITEM["course_id"], self.STUDENT_ITEM["item_id"]
        )

        # The first student's scores should be reset
        self.assertIs(sub_api.get_score(self.STUDENT_ITEM), None)
        scores = sub_api.get_scores(self.STUDENT_ITEM["course_id"], self.STUDENT_ITEM["student_id"])
        self.assertNotIn(self.STUDENT_ITEM["item_id"], scores)

        # But the second student should still have a score
        score = sub_api.get_score(other_student)
        self.assertEqual(score["points_earned"], 3)
        self.assertEqual(score["points_possible"], 4)
        scores = sub_api.get_scores(other_student["course_id"], other_student["student_id"])
        self.assertIn(other_student["item_id"], scores)

 def _submissions_scores(self):
     """
     Lazily queries and returns the scores stored by the
     Submissions API for the course, while caching the result.
     """
     anonymous_user_id = anonymous_id_for_user(self.student, self.course.id)
     return submissions_api.get_scores(unicode(self.course.id), anonymous_user_id)

    def test_get_scores(self):
        student_item = copy.deepcopy(STUDENT_ITEM)
        student_item["course_id"] = "get_scores_course"

        student_item["item_id"] = "i4x://a/b/c/s1"
        s1 = api.create_submission(student_item, "Hello World")

        student_item["item_id"] = "i4x://a/b/c/s2"
        s2 = api.create_submission(student_item, "Hello World")

        student_item["item_id"] = "i4x://a/b/c/s3"
        s3 = api.create_submission(student_item, "Hello World")

        api.set_score(s1['uuid'], 3, 5)
        api.set_score(s1['uuid'], 4, 5)
        api.set_score(s1['uuid'], 2, 5)  # Should overwrite previous lines

        api.set_score(s2['uuid'], 0, 10)
        api.set_score(s3['uuid'], 4, 4)

        # Getting the scores for a user should never take more than one query
        with self.assertNumQueries(1):
            scores = api.get_scores(
                student_item["course_id"], student_item["student_id"]
            )
            self.assertEqual(
                scores,
                {
                    u"i4x://a/b/c/s1": (2, 5),
                    u"i4x://a/b/c/s2": (0, 10),
                    u"i4x://a/b/c/s3": (4, 4),
                }
            )

    def test_reset_with_no_scores(self):
        sub_api.reset_score(
            self.STUDENT_ITEM["student_id"], self.STUDENT_ITEM["course_id"], self.STUDENT_ITEM["item_id"]
        )
        self.assertIs(sub_api.get_score(self.STUDENT_ITEM), None)

        scores = sub_api.get_scores(self.STUDENT_ITEM["course_id"], self.STUDENT_ITEM["student_id"])
        self.assertEqual(len(scores), 0)

def _grade(student, course, keep_raw_scores, course_structure=None):
    """
    Unwrapped version of "grade"

    This grades a student as quickly as possible. It returns the
    output from the course grader, augmented with the final letter
    grade. The keys in the output are:

    - course: a CourseDescriptor
    - keep_raw_scores : if True, then value for key 'raw_scores' contains scores
      for every graded module

    More information on the format is in the docstring for CourseGrader.
    """
    if course_structure is None:
        course_structure = get_course_blocks(student, course.location)
    grading_context_result = grading_context(course_structure)
    scorable_locations = [block.location for block in grading_context_result['all_graded_blocks']]

    with outer_atomic():
        scores_client = ScoresClient.create_for_locations(course.id, student.id, scorable_locations)

    # Dict of item_ids -> (earned, possible) point tuples. This *only* grabs
    # scores that were registered with the submissions API, which for the moment
    # means only openassessment (edx-ora2)
    # We need to import this here to avoid a circular dependency of the form:
    # XBlock --> submissions --> Django Rest Framework error strings -->
    # Django translation --> ... --> courseware --> submissions
    from submissions import api as sub_api  # installed from the edx-submissions repository

    with outer_atomic():
        submissions_scores = sub_api.get_scores(
            course.id.to_deprecated_string(),
            anonymous_id_for_user(student, course.id)
        )

    totaled_scores, raw_scores = _calculate_totaled_scores(
        student, grading_context_result, submissions_scores, scores_client, keep_raw_scores
    )

    with outer_atomic():
        # Grading policy might be overriden by a CCX, need to reset it
        course.set_grading_policy(course.grading_policy)
        grade_summary = course.grader.grade(totaled_scores, generate_random_scores=settings.GENERATE_PROFILE_SCORES)

        # We round the grade here, to make sure that the grade is a whole percentage and
        # doesn't get displayed differently than it gets grades
        grade_summary['percent'] = round(grade_summary['percent'] * 100 + 0.05) / 100

        letter_grade = grade_for_percentage(course.grade_cutoffs, grade_summary['percent'])
        grade_summary['grade'] = letter_grade
        grade_summary['totaled_scores'] = totaled_scores   # make this available, eg for instructor download & debugging
        if keep_raw_scores:
            # way to get all RAW scores out to instructor
            # so grader can be double-checked
            grade_summary['raw_scores'] = raw_scores

    return grade_summary

    def test_get_scores(self):
        student_item = copy.deepcopy(STUDENT_ITEM)
        student_item["course_id"] = "get_scores_course"

        student_item["item_id"] = "i4x://a/b/c/s1"
        s1 = api.create_submission(student_item, "Hello World")

        student_item["item_id"] = "i4x://a/b/c/s2"
        s2 = api.create_submission(student_item, "Hello World")

        student_item["item_id"] = "i4x://a/b/c/s3"
        s3 = api.create_submission(student_item, "Hello World")

        api.set_score(s1['uuid'], 3, 5)
        api.set_score(s1['uuid'], 4, 5)
        api.set_score(s1['uuid'], 2, 5)  # Should overwrite previous lines

        api.set_score(s2['uuid'], 0, 10)
        api.set_score(s3['uuid'], 4, 4)

        # Getting the scores for a user should never take more than one query
        with self.assertNumQueries(1):
            scores = api.get_scores(
                student_item["course_id"], student_item["student_id"]
            )
        self.assertEqual(
            scores,
            {
                u'i4x://a/b/c/s1': {
                    'created_at': now(),
                    'points_earned': 2,
                    'points_possible': 5,
                    'student_item': 1,
                    'submission': 1,
                    'submission_uuid': s1['uuid'],
                },
                u'i4x://a/b/c/s2': {
                    'created_at': now(),
                    'points_earned': 0,
                    'points_possible': 10,
                    'student_item': 2,
                    'submission': 2,
                    'submission_uuid': s2['uuid'],
                },
                u'i4x://a/b/c/s3': {
                    'created_at': now(),
                    'points_earned': 4,
                    'points_possible': 4,
                    'student_item': 3,
                    'submission': 3,
                    'submission_uuid': s3['uuid'],
                },
            }
        )

 def _prefetch_scores(self, course_structure, course):
     """
     Returns the prefetched scores for the given student and course.
     """
     if not self._scores_client:
         scorable_locations = [block_key for block_key in course_structure if possibly_scored(block_key)]
         self._scores_client = ScoresClient.create_for_locations(
             course.id, self.student.id, scorable_locations
         )
         self._submissions_scores = submissions_api.get_scores(
             unicode(course.id), anonymous_id_for_user(self.student, course.id)
         )

    def test_reset_with_one_score(self):
        # Create a submission for the student and score it
        submission = sub_api.create_submission(self.STUDENT_ITEM, "test answer")
        sub_api.set_score(submission["uuid"], 1, 2)

        # Reset scores
        sub_api.reset_score(
            self.STUDENT_ITEM["student_id"], self.STUDENT_ITEM["course_id"], self.STUDENT_ITEM["item_id"]
        )

        # Expect that no scores are available for the student
        self.assertIs(sub_api.get_score(self.STUDENT_ITEM), None)
        scores = sub_api.get_scores(self.STUDENT_ITEM["course_id"], self.STUDENT_ITEM["student_id"])
        self.assertEqual(len(scores), 0)

    def test_reset_with_multiple_scores(self):
        # Create a submission for the student and score it
        submission = sub_api.create_submission(self.STUDENT_ITEM, 'test answer')
        sub_api.set_score(submission['uuid'], 1, 2)
        sub_api.set_score(submission['uuid'], 2, 2)

        # Reset scores
        sub_api.reset_score(
            self.STUDENT_ITEM['student_id'],
            self.STUDENT_ITEM['course_id'],
            self.STUDENT_ITEM['item_id'],
        )

        # Expect that no scores are available for the student
        self.assertIs(sub_api.get_score(self.STUDENT_ITEM), None)
        scores = sub_api.get_scores(self.STUDENT_ITEM['course_id'], self.STUDENT_ITEM['student_id'])
        self.assertEqual(len(scores), 0)

    def test_reset_then_add_score(self):
        # Create a submission for the student and score it
        submission = sub_api.create_submission(self.STUDENT_ITEM, "test answer")
        sub_api.set_score(submission["uuid"], 1, 2)

        # Reset scores
        sub_api.reset_score(
            self.STUDENT_ITEM["student_id"], self.STUDENT_ITEM["course_id"], self.STUDENT_ITEM["item_id"]
        )

        # Score the student again
        sub_api.set_score(submission["uuid"], 3, 4)

        # Expect that the new score is available
        score = sub_api.get_score(self.STUDENT_ITEM)
        self.assertEqual(score["points_earned"], 3)
        self.assertEqual(score["points_possible"], 4)

        scores = sub_api.get_scores(self.STUDENT_ITEM["course_id"], self.STUDENT_ITEM["student_id"])
        self.assertIn(self.STUDENT_ITEM["item_id"], scores)
        self.assertEqual(scores[self.STUDENT_ITEM["item_id"]], (3, 4))

    def test_reset_then_add_score(self):
        # Create a submission for the student and score it
        submission = sub_api.create_submission(self.STUDENT_ITEM, 'test answer')
        sub_api.set_score(submission['uuid'], 1, 2)

        # Reset scores
        sub_api.reset_score(
            self.STUDENT_ITEM['student_id'],
            self.STUDENT_ITEM['course_id'],
            self.STUDENT_ITEM['item_id'],
        )

        # Score the student again
        sub_api.set_score(submission['uuid'], 3, 4)

        # Expect that the new score is available
        score = sub_api.get_score(self.STUDENT_ITEM)
        self.assertEqual(score['points_earned'], 3)
        self.assertEqual(score['points_possible'], 4)

        scores = sub_api.get_scores(self.STUDENT_ITEM['course_id'], self.STUDENT_ITEM['student_id'])
        self.assertIn(self.STUDENT_ITEM['item_id'], scores)
        item_score = scores[self.STUDENT_ITEM['item_id']]
        self.assertEqual((item_score['points_earned'], item_score['points_possible']), (3, 4))

def _progress_summary(student, request, course, field_data_cache=None, scores_client=None):
    """
    Unwrapped version of "progress_summary".

    This pulls a summary of all problems in the course.

    Returns
    - courseware_summary is a summary of all sections with problems in the course.
    It is organized as an array of chapters, each containing an array of sections,
    each containing an array of scores. This contains information for graded and
    ungraded problems, and is good for displaying a course summary with due dates,
    etc.

    Arguments:
        student: A User object for the student to grade
        course: A Descriptor containing the course to grade

    If the student does not have access to load the course module, this function
    will return None.

    """
    with manual_transaction():
        if field_data_cache is None:
            field_data_cache = field_data_cache_for_grading(course, student)
        if scores_client is None:
            scores_client = ScoresClient.from_field_data_cache(field_data_cache)

        course_module = get_module_for_descriptor(
            student, request, course, field_data_cache, course.id, course=course
        )
        if not course_module:
            return None

        course_module = getattr(course_module, '_x_module', course_module)

    submissions_scores = sub_api.get_scores(course.id.to_deprecated_string(), anonymous_id_for_user(student, course.id))
    max_scores_cache = MaxScoresCache.create_for_course(course)
    # For the moment, we have to get scorable_locations from field_data_cache
    # and not from scores_client, because scores_client is ignorant of things
    # in the submissions API. As a further refactoring step, submissions should
    # be hidden behind the ScoresClient.
    max_scores_cache.fetch_from_remote(field_data_cache.scorable_locations)

    chapters = []
    locations_to_children = defaultdict(list)
    locations_to_weighted_scores = {}
    # Don't include chapters that aren't displayable (e.g. due to error)
    for chapter_module in course_module.get_display_items():
        # Skip if the chapter is hidden
        if chapter_module.hide_from_toc:
            continue

        sections = []
        for section_module in chapter_module.get_display_items():
            # Skip if the section is hidden
            with manual_transaction():
                if section_module.hide_from_toc:
                    continue

                graded = section_module.graded
                scores = []

                module_creator = section_module.xmodule_runtime.get_module

                for module_descriptor in yield_dynamic_descriptor_descendants(
                        section_module, student.id, module_creator
                ):
                    locations_to_children[module_descriptor.parent].append(module_descriptor.location)
                    (correct, total) = get_score(
                        student,
                        module_descriptor,
                        module_creator,
                        scores_client,
                        submissions_scores,
                        max_scores_cache,
                    )
                    if correct is None and total is None:
                        continue

                    weighted_location_score = Score(
                        correct,
                        total,
                        graded,
                        module_descriptor.display_name_with_default,
                        module_descriptor.location
                    )

                    scores.append(weighted_location_score)
                    locations_to_weighted_scores[module_descriptor.location] = weighted_location_score

                scores.reverse()
                section_total, _ = graders.aggregate_scores(
                    scores, section_module.display_name_with_default)

                module_format = section_module.format if section_module.format is not None else ''
                sections.append({
                    'display_name': section_module.display_name_with_default,
                    'url_name': section_module.url_name,
                    'scores': scores,
                    'section_total': section_total,
#.........这里部分代码省略.........

def _grade(student, request, course, keep_raw_scores, field_data_cache, scores_client):
    """
    Unwrapped version of "grade"

    This grades a student as quickly as possible. It returns the
    output from the course grader, augmented with the final letter
    grade. The keys in the output are:

    course: a CourseDescriptor

    - grade : A final letter grade.
    - percent : The final percent for the class (rounded up).
    - section_breakdown : A breakdown of each section that makes
      up the grade. (For display)
    - grade_breakdown : A breakdown of the major components that
      make up the final grade. (For display)
    - keep_raw_scores : if True, then value for key 'raw_scores' contains scores
      for every graded module

    More information on the format is in the docstring for CourseGrader.
    """
    if field_data_cache is None:
        with manual_transaction():
            field_data_cache = field_data_cache_for_grading(course, student)
    if scores_client is None:
        scores_client = ScoresClient.from_field_data_cache(field_data_cache)

    # Dict of item_ids -> (earned, possible) point tuples. This *only* grabs
    # scores that were registered with the submissions API, which for the moment
    # means only openassessment (edx-ora2)
    submissions_scores = sub_api.get_scores(course.id.to_deprecated_string(), anonymous_id_for_user(student, course.id))
    max_scores_cache = MaxScoresCache.create_for_course(course)
    # For the moment, we have to get scorable_locations from field_data_cache
    # and not from scores_client, because scores_client is ignorant of things
    # in the submissions API. As a further refactoring step, submissions should
    # be hidden behind the ScoresClient.
    max_scores_cache.fetch_from_remote(field_data_cache.scorable_locations)

    grading_context = course.grading_context
    raw_scores = []

    totaled_scores = {}
    # This next complicated loop is just to collect the totaled_scores, which is
    # passed to the grader
    for section_format, sections in grading_context['graded_sections'].iteritems():
        format_scores = []
        for section in sections:
            section_descriptor = section['section_descriptor']
            section_name = section_descriptor.display_name_with_default

            # some problems have state that is updated independently of interaction
            # with the LMS, so they need to always be scored. (E.g. foldit.,
            # combinedopenended)
            should_grade_section = any(
                descriptor.always_recalculate_grades for descriptor in section['xmoduledescriptors']
            )

            # If there are no problems that always have to be regraded, check to
            # see if any of our locations are in the scores from the submissions
            # API. If scores exist, we have to calculate grades for this section.
            if not should_grade_section:
                should_grade_section = any(
                    descriptor.location.to_deprecated_string() in submissions_scores
                    for descriptor in section['xmoduledescriptors']
                )

            if not should_grade_section:
                should_grade_section = any(
                    descriptor.location in scores_client
                    for descriptor in section['xmoduledescriptors']
                )

            # If we haven't seen a single problem in the section, we don't have
            # to grade it at all! We can assume 0%
            if should_grade_section:
                scores = []

                def create_module(descriptor):
                    '''creates an XModule instance given a descriptor'''
                    # TODO: We need the request to pass into here. If we could forego that, our arguments
                    # would be simpler
                    return get_module_for_descriptor(
                        student, request, descriptor, field_data_cache, course.id, course=course
                    )

                descendants = yield_dynamic_descriptor_descendants(section_descriptor, student.id, create_module)
                for module_descriptor in descendants:
                    (correct, total) = get_score(
                        student,
                        module_descriptor,
                        create_module,
                        scores_client,
                        submissions_scores,
                        max_scores_cache,
                    )
                    if correct is None and total is None:
                        continue

                    if settings.GENERATE_PROFILE_SCORES:    # for debugging!
                        if total > 1:
#.........这里部分代码省略.........

 def test_error_on_get_scores(self, mock_filter):
     mock_filter.side_effect = DatabaseError("Bad things happened")
     api.get_scores("some_course", "some_student")

def _progress_summary(student, request, course):
    """
    Unwrapped version of "progress_summary".

    This pulls a summary of all problems in the course.

    Returns
    - courseware_summary is a summary of all sections with problems in the course.
    It is organized as an array of chapters, each containing an array of sections,
    each containing an array of scores. This contains information for graded and
    ungraded problems, and is good for displaying a course summary with due dates,
    etc.

    Arguments:
        student: A User object for the student to grade
        course: A Descriptor containing the course to grade

    If the student does not have access to load the course module, this function
    will return None.

    """
    with manual_transaction():
        field_data_cache = FieldDataCache.cache_for_descriptor_descendents(
            course.id, student, course, depth=None
        )
        # TODO: We need the request to pass into here. If we could
        # forego that, our arguments would be simpler
        course_module = get_module_for_descriptor(student, request, course, field_data_cache, course.id)
        if not course_module:
            # This student must not have access to the course.
            return None

    submissions_scores = sub_api.get_scores(course.id.to_deprecated_string(), anonymous_id_for_user(student, course.id))

    chapters = []
    # Don't include chapters that aren't displayable (e.g. due to error)
    for chapter_module in course_module.get_display_items():
        # Skip if the chapter is hidden
        if chapter_module.hide_from_toc:
            continue

        sections = []

        for section_module in chapter_module.get_display_items():
            # Skip if the section is hidden
            with manual_transaction():
                if section_module.hide_from_toc:
                    continue

                graded = section_module.graded
                scores = []

                module_creator = section_module.xmodule_runtime.get_module
                inforExerc = []

                # Adicionarei mais algumas informacoes para que seja possivel pegar o que foi digitado pelo aluno
                # A quantidade de tentativas, que opcao o usuario escolheu ou que informacao foi digitada


                for module_descriptor in yield_dynamic_descriptor_descendents(section_module, module_creator):
                    course_id = course.id
                    (correct, total) = get_score(
                        course_id, student, module_descriptor, module_creator, scores_cache=submissions_scores
                    )
                    tentativas, valorDigitado, idProblem = get_InforExerc(
                        course_id, student, module_descriptor
                    )



                    if correct is None and total is None:

                        continue
                    print "USUARIO: ", student
                    print "TENTATIVAS ", tentativas, " VALOR DIGITADO: ", valorDigitado
                    print "CORRECT: ", correct, " total ", total
                    print "IDPROBLEM: ", idProblem

                    vals=[]
                    vals.append(tentativas)
                    vals.append(valorDigitado)
                    vals.append(idProblem)

                    inforExerc.append(vals)



                    scores.append(Score(correct, total, graded, module_descriptor.display_name_with_default))

                scores.reverse()
                inforExerc.reverse()

                section_total, _ = graders.aggregate_scores(
                    scores, section_module.display_name_with_default)

                module_format = section_module.format if section_module.format is not None else ''
                sections.append({
                    'display_name': section_module.display_name_with_default,
                    'url_name': section_module.url_name,
                    'scores': scores,
#.........这里部分代码省略.........