Merge pull request #13547 from edx/beryl/correct_weight

Fix Problem grades that have weight values

common/lib/xmodule/xmodule/graders.py

@@ -10,13 +10,67 @@ import logging
 import random
 import sys
 
-from collections import namedtuple
 
 log = logging.getLogger("edx.courseware")
 
-# This is a tuple for holding scores, either from problems or sections.
-# Section either indicates the name of the problem or the name of the section
-Score = namedtuple("Score", "earned possible graded section module_id")
+
+class ScoreBase(object):
+    """
+    Abstract base class for encapsulating fields of values scores.
+    Field common to all scores include:
+        display_name (string) - the display name of the module
+        module_id (UsageKey) - the location of the module
+        graded (boolean) - whether or not this module is graded
+    """
+    __metaclass__ = abc.ABCMeta
+
+    def __init__(self, graded, display_name, module_id):
+        self.graded = graded
+        self.display_name = display_name
+        self.module_id = module_id
+
+    def __eq__(self, other):
+        if type(other) is type(self):
+            return self.__dict__ == other.__dict__
+        return False
+
+    def __ne__(self, other):
+        return not self.__eq__(other)
+
+    def __repr__(self):
+        return u"{class_name}({fields})".format(class_name=self.__class__.__name__, fields=self.__dict__)
+
+
+class ProblemScore(ScoreBase):
+    """
+    Encapsulates the fields of a Problem's score.
+    In addition to the fields in ScoreBase, also includes:
+        raw_earned (float) - raw points earned on this problem
+        raw_possible (float) - raw points possible to earn on this problem
+        weighted_earned = earned (float) - weighted value of the points earned
+        weighted_possible = possible (float) - weighted possible points on this problem
+        weight (float) - weight of this problem
+    """
+    def __init__(self, raw_earned, raw_possible, weighted_earned, weighted_possible, weight, *args, **kwargs):
+        super(ProblemScore, self).__init__(*args, **kwargs)
+        self.raw_earned = raw_earned
+        self.raw_possible = raw_possible
+        self.earned = weighted_earned
+        self.possible = weighted_possible
+        self.weight = weight
+
+
+class AggregatedScore(ScoreBase):
+    """
+    Encapsulates the fields of a Subsection's score.
+    In addition to the fields in ScoreBase, also includes:
+        tw_earned = earned - total aggregated sum of all weighted earned values
+        tw_possible = possible - total aggregated sum of all weighted possible values
+    """
+    def __init__(self, tw_earned, tw_possible, *args, **kwargs):
+        super(AggregatedScore, self).__init__(*args, **kwargs)
+        self.earned = tw_earned
+        self.possible = tw_possible
 
 
 def float_sum(iterable):
@@ -26,13 +80,14 @@ def float_sum(iterable):
     return float(sum(iterable))
 
 
-def aggregate_scores(scores, section_name="summary", location=None):
+def aggregate_scores(scores, display_name="summary", location=None):
     """
-    scores: A list of Score objects
+    scores: A list of ScoreBase objects
+    display_name: The display name for the score object
     location: The location under which all objects in scores are located
     returns: A tuple (all_total, graded_total).
-        all_total: A Score representing the total score summed over all input scores
-        graded_total: A Score representing the score summed over all graded input scores
+        all_total: A ScoreBase representing the total score summed over all input scores
+        graded_total: A ScoreBase representing the score summed over all graded input scores
     """
     total_correct_graded = float_sum(score.earned for score in scores if score.graded)
     total_possible_graded = float_sum(score.possible for score in scores if score.graded)
@@ -41,10 +96,10 @@ def aggregate_scores(scores, section_name="summary", location=None):
     total_possible = float_sum(score.possible for score in scores)
 
     #regardless of whether it is graded
-    all_total = Score(total_correct, total_possible, False, section_name, location)
+    all_total = AggregatedScore(total_correct, total_possible, False, display_name, location)
 
     #selecting only graded things
-    graded_total = Score(total_correct_graded, total_possible_graded, True, section_name, location)
+    graded_total = AggregatedScore(total_correct_graded, total_possible_graded, True, display_name, location)
 
     return all_total, graded_total
 
@@ -220,7 +275,7 @@ class SingleSectionGrader(CourseGrader):
         found_score = None
         if self.type in grade_sheet:
             for score in grade_sheet[self.type]:
-                if score.section == self.name:
+                if score.display_name == self.name:
                     found_score = score
                     break
 
@@ -342,7 +397,7 @@ class AssignmentFormatGrader(CourseGrader):
                 else:
                     earned = scores[i].earned
                     possible = scores[i].possible
-                    section_name = scores[i].section
+                    section_name = scores[i].display_name
 
                 percentage = earned / possible
                 summary_format = u"{section_type} {index} - {name} - {percent:.0%} ({earned:.3n}/{possible:.3n})"

lms/djangoapps/gating/tests/test_api.py

@@ -166,8 +166,8 @@ class TestGatedContent(GatingTestCase, MilestonesTestCaseMixin):
         """
         course_grade = CourseGradeFactory(user).create(self.course)
         for prob in [self.gating_prob1, self.gated_prob2, self.prob3]:
-            self.assertIn(prob.location, course_grade.locations_to_weighted_scores)
-        self.assertNotIn(self.orphan.location, course_grade.locations_to_weighted_scores)
+            self.assertIn(prob.location, course_grade.locations_to_scores)
+        self.assertNotIn(self.orphan.location, course_grade.locations_to_scores)
 
         self.assertEquals(course_grade.percent, expected_percent)
 

lms/djangoapps/grades/models.py

@@ -27,7 +27,7 @@ BLOCK_RECORD_LIST_VERSION = 1
 
 # Used to serialize information about a block at the time it was used in
 # grade calculation.
-BlockRecord = namedtuple('BlockRecord', ['locator', 'weight', 'max_score'])
+BlockRecord = namedtuple('BlockRecord', ['locator', 'weight', 'raw_possible', 'graded'])
 
 
 class BlockRecordList(tuple):
@@ -98,7 +98,8 @@ class BlockRecordList(tuple):
             BlockRecord(
                 locator=UsageKey.from_string(block["locator"]).replace(course_key=course_key),
                 weight=block["weight"],
-                max_score=block["max_score"],
+                raw_possible=block["raw_possible"],
+                graded=block["graded"],
             )
             for block in block_dicts
         )

lms/djangoapps/grades/new/course_grade.py

@@ -43,15 +43,15 @@ class CourseGrade(object):
         return subsections_by_format
 
     @lazy
-    def locations_to_weighted_scores(self):
+    def locations_to_scores(self):
         """
         Returns a dict of problem scores keyed by their locations.
         """
-        locations_to_weighted_scores = {}
+        locations_to_scores = {}
         for chapter in self.chapter_grades:
             for subsection_grade in chapter['sections']:
-                locations_to_weighted_scores.update(subsection_grade.locations_to_weighted_scores)
-        return locations_to_weighted_scores
+                locations_to_scores.update(subsection_grade.locations_to_scores)
+        return locations_to_scores
 
     @lazy
     def grade_value(self):
@@ -113,7 +113,7 @@ class CourseGrade(object):
         grade_summary['percent'] = self.percent
         grade_summary['grade'] = self.letter_grade
         grade_summary['totaled_scores'] = self.subsection_grade_totals_by_format
-        grade_summary['raw_scores'] = list(self.locations_to_weighted_scores.itervalues())
+        grade_summary['raw_scores'] = list(self.locations_to_scores.itervalues())
 
         return grade_summary
 
@@ -141,7 +141,7 @@ class CourseGrade(object):
         subsections_total = sum(len(x) for x in self.subsection_grade_totals_by_format.itervalues())
         subsections_read = len(subsection_grade_factory._unsaved_subsection_grades)  # pylint: disable=protected-access
         subsections_created = subsections_total - subsections_read
-        blocks_total = len(self.locations_to_weighted_scores)
+        blocks_total = len(self.locations_to_scores)
         if not read_only:
             subsection_grade_factory.bulk_create_unsaved()
 
@@ -166,8 +166,8 @@ class CourseGrade(object):
         composite module (a vertical or section ) the scores will be the sums of
         all scored problems that are children of the chosen location.
         """
-        if location in self.locations_to_weighted_scores:
-            score, _ = self.locations_to_weighted_scores[location]
+        if location in self.locations_to_scores:
+            score = self.locations_to_scores[location]
             return score.earned, score.possible
         children = self.course_structure.get_children(location)
         earned = 0.0

lms/djangoapps/grades/new/subsection_grade.py

@@ -11,12 +11,11 @@ from courseware.model_data import ScoresClient
 from lms.djangoapps.grades.scores import get_score, possibly_scored
 from lms.djangoapps.grades.models import BlockRecord, PersistentSubsectionGrade
 from lms.djangoapps.grades.config.models import PersistentGradesEnabledFlag
-from lms.djangoapps.grades.transformer import GradesTransformer
 from student.models import anonymous_id_for_user, User
 from submissions import api as submissions_api
 from traceback import format_exc
 from xmodule import block_metadata_utils, graders
-from xmodule.graders import Score
+from xmodule.graders import AggregatedScore
 
 
 log = getLogger(__name__)
@@ -54,62 +53,47 @@ class SubsectionGrade(object):
 
         self.graded_total = None  # aggregated grade for all graded problems
         self.all_total = None  # aggregated grade for all problems, regardless of whether they are graded
-        self.locations_to_weighted_scores = OrderedDict()  # dict of problem locations to (Score, weight) tuples
-
-        self._scores = None
+        self.locations_to_scores = OrderedDict()  # dict of problem locations to ProblemScore
 
     @property
     def scores(self):
         """
         List of all problem scores in the subsection.
         """
-        if self._scores is None:
-            self._scores = [score for score, _ in self.locations_to_weighted_scores.itervalues()]
-        return self._scores
+        return self.locations_to_scores.values()
 
-    def init_from_structure(self, student, course_structure, scores_client, submissions_scores):
+    def init_from_structure(self, student, course_structure, submissions_scores, csm_scores):
         """
         Compute the grade of this subsection for the given student and course.
         """
-        assert self._scores is None
         for descendant_key in course_structure.post_order_traversal(
                 filter_func=possibly_scored,
                 start_node=self.location,
         ):
-            self._compute_block_score(
-                student, descendant_key, course_structure, scores_client, submissions_scores, persisted_values={},
-            )
+            self._compute_block_score(descendant_key, course_structure, submissions_scores, csm_scores)
+
         self.all_total, self.graded_total = graders.aggregate_scores(self.scores, self.display_name, self.location)
         self._log_event(log.info, u"init_from_structure", student)
 
-    def init_from_model(self, student, model, course_structure, scores_client, submissions_scores):
+    def init_from_model(self, student, model, course_structure, submissions_scores, csm_scores):
         """
         Load the subsection grade from the persisted model.
         """
-        assert self._scores is None
         for block in model.visible_blocks.blocks:
-            persisted_values = {'weight': block.weight, 'possible': block.max_score}
-            self._compute_block_score(
-                student,
-                block.locator,
-                course_structure,
-                scores_client,
-                submissions_scores,
-                persisted_values
-            )
+            self._compute_block_score(block.locator, course_structure, submissions_scores, csm_scores, block)
 
-        self.graded_total = Score(
-            earned=model.earned_graded,
-            possible=model.possible_graded,
+        self.graded_total = AggregatedScore(
+            tw_earned=model.earned_graded,
+            tw_possible=model.possible_graded,
             graded=True,
-            section=self.display_name,
+            display_name=self.display_name,
             module_id=self.location,
         )
-        self.all_total = Score(
-            earned=model.earned_all,
-            possible=model.possible_all,
+        self.all_total = AggregatedScore(
+            tw_earned=model.earned_all,
+            tw_possible=model.possible_all,
             graded=False,
-            section=self.display_name,
+            display_name=self.display_name,
             module_id=self.location,
         )
         self._log_event(log.info, u"init_from_model", student)
@@ -140,12 +124,11 @@ class SubsectionGrade(object):
 
     def _compute_block_score(
             self,
-            student,
             block_key,
             course_structure,
-            scores_client,
             submissions_scores,
-            persisted_values,
+            csm_scores,
+            persisted_block=None,
     ):
         """
         Compute score for the given block. If persisted_values
@@ -154,54 +137,14 @@ class SubsectionGrade(object):
         block = course_structure[block_key]
 
         if getattr(block, 'has_score', False):
-
-            possible = persisted_values.get('possible', None)
-            weight = persisted_values.get('weight', getattr(block, 'weight', None))
-
-            (earned, possible) = get_score(
-                student,
-                block,
-                scores_client,
+            problem_score = get_score(
                 submissions_scores,
-                weight,
-                possible,
+                csm_scores,
+                persisted_block,
+                block,
             )
-
-            if earned is not None or possible is not None:
-                # There's a chance that the value of graded is not the same
-                # value when the problem was scored. Since we get the value
-                # from the block_structure.
-                #
-                # Cannot grade a problem with a denominator of 0.
-                # TODO: None > 0 is not python 3 compatible.
-                block_graded = self._get_explicit_graded(block, course_structure) if possible > 0 else False
-
-                self.locations_to_weighted_scores[block.location] = (
-                    Score(
-                        earned,
-                        possible,
-                        block_graded,
-                        block_metadata_utils.display_name_with_default_escaped(block),
-                        block.location,
-                    ),
-                    weight,
-                )
-
-    def _get_explicit_graded(self, block, course_structure):
-        """
-        Returns the explicit graded field value for the given block
-        """
-        field_value = course_structure.get_transformer_block_field(
-            block.location,
-            GradesTransformer,
-            GradesTransformer.EXPLICIT_GRADED_FIELD_NAME
-        )
-
-        # Set to True if grading is not explicitly disabled for
-        # this block.  This allows us to include the block's score
-        # in the aggregated self.graded_total, regardless of the
-        # inherited graded value from the subsection. (TNL-5560)
-        return True if field_value is None else field_value
+            if problem_score:
+                self.locations_to_scores[block_key] = problem_score
 
     def _persisted_model_params(self, student):
         """
@@ -226,9 +169,9 @@ class SubsectionGrade(object):
         Returns the list of visible blocks.
         """
         return [
-            BlockRecord(location, weight, score.possible)
-            for location, (score, weight) in
-            self.locations_to_weighted_scores.iteritems()
+            BlockRecord(location, score.weight, score.raw_possible, score.graded)
+            for location, score in
+            self.locations_to_scores.iteritems()
         ]
 
     def _log_event(self, log_func, log_statement, student):
@@ -283,7 +226,7 @@ class SubsectionGradeFactory(object):
         if not subsection_grade:
             subsection_grade = SubsectionGrade(subsection, self.course)
             subsection_grade.init_from_structure(
-                self.student, block_structure, self._scores_client, self._submissions_scores
+                self.student, block_structure, self._submissions_scores, self._csm_scores,
             )
             if PersistentGradesEnabledFlag.feature_enabled(self.course.id):
                 if read_only:
@@ -313,7 +256,7 @@ class SubsectionGradeFactory(object):
         block_structure = self._get_block_structure(block_structure)
         subsection_grade = SubsectionGrade(subsection, self.course)
         subsection_grade.init_from_structure(
-            self.student, block_structure, self._scores_client, self._submissions_scores
+            self.student, block_structure, self._submissions_scores, self._csm_scores
         )
 
         if PersistentGradesEnabledFlag.feature_enabled(self.course.id):
@@ -323,7 +266,7 @@ class SubsectionGradeFactory(object):
         return subsection_grade
 
     @lazy
-    def _scores_client(self):
+    def _csm_scores(self):
         """
         Lazily queries and returns all the scores stored in the user
         state (in CSM) for the course, while caching the result.
@@ -351,7 +294,7 @@ class SubsectionGradeFactory(object):
         if saved_subsection_grade:
             subsection_grade = SubsectionGrade(subsection, self.course)
             subsection_grade.init_from_model(
-                self.student, saved_subsection_grade, block_structure, self._scores_client, self._submissions_scores
+                self.student, saved_subsection_grade, block_structure, self._submissions_scores, self._csm_scores,
             )
             return subsection_grade
 

lms/djangoapps/grades/tests/test_grades.py

@@ -2,24 +2,29 @@
 Test grade calculation.
 """
 
+import ddt
 from django.http import Http404
+import itertools
 from mock import patch
 from nose.plugins.attrib import attr
 from opaque_keys.edx.locations import SlashSeparatedCourseKey
 
-from courseware.tests.helpers import (
-    LoginEnrollmentTestCase,
-    get_request_for_user
-)
+from capa.tests.response_xml_factory import MultipleChoiceResponseXMLFactory
+from courseware.tests.helpers import get_request_for_user
+from lms.djangoapps.course_blocks.api import get_course_blocks
 from student.tests.factories import UserFactory
 from student.models import CourseEnrollment
+from xmodule.block_metadata_utils import display_name_with_default_escaped
+from xmodule.modulestore import ModuleStoreEnum
 from xmodule.modulestore.tests.factories import CourseFactory, ItemFactory
 from xmodule.modulestore.tests.django_utils import SharedModuleStoreTestCase
+from xmodule.graders import ProblemScore
 
 from .utils import answer_problem
 from .. import course_grades
 from ..course_grades import summary as grades_summary
 from ..new.course_grade import CourseGradeFactory
+from ..new.subsection_grade import SubsectionGradeFactory
 
 
 def _grade_with_errors(student, course):
@@ -36,6 +41,17 @@ def _grade_with_errors(student, course):
     return grades_summary(student, course)
 
 
+def _create_problem_xml():
+    """
+    Creates and returns XML for a multiple choice response problem
+    """
+    return MultipleChoiceResponseXMLFactory().build_xml(
+        question_text='The correct answer is Choice 3',
+        choices=[False, False, True, False],
+        choice_names=['choice_0', 'choice_1', 'choice_2', 'choice_3']
+    )
+
+
 @attr(shard=1)
 class TestGradeIteration(SharedModuleStoreTestCase):
     """
@@ -137,6 +153,101 @@ class TestGradeIteration(SharedModuleStoreTestCase):
         return students_to_gradesets, students_to_errors
 
 
+@ddt.ddt
+class TestWeightedProblems(SharedModuleStoreTestCase):
+    """
+    Test scores and grades with various problem weight values.
+    """
+    @classmethod
+    def setUpClass(cls):
+        super(TestWeightedProblems, cls).setUpClass()
+        cls.course = CourseFactory.create()
+        cls.chapter = ItemFactory.create(parent=cls.course, category="chapter", display_name="chapter")
+        cls.sequential = ItemFactory.create(parent=cls.chapter, category="sequential", display_name="sequential")
+        cls.vertical = ItemFactory.create(parent=cls.sequential, category="vertical", display_name="vertical1")
+        problem_xml = _create_problem_xml()
+        cls.problems = []
+        for i in range(2):
+            cls.problems.append(
+                ItemFactory.create(
+                    parent=cls.vertical,
+                    category="problem",
+                    display_name="problem_{}".format(i),
+                    data=problem_xml,
+                )
+            )
+
+    def setUp(self):
+        super(TestWeightedProblems, self).setUp()
+        self.user = UserFactory()
+        self.request = get_request_for_user(self.user)
+
+    def _verify_grades(self, raw_earned, raw_possible, weight, expected_score):
+        """
+        Verifies the computed grades are as expected.
+        """
+        with self.store.branch_setting(ModuleStoreEnum.Branch.draft_preferred):
+            # pylint: disable=no-member
+            for problem in self.problems:
+                problem.weight = weight
+                self.store.update_item(problem, self.user.id)
+            self.store.publish(self.course.location, self.user.id)
+
+        course_structure = get_course_blocks(self.request.user, self.course.location)
+
+        # answer all problems
+        for problem in self.problems:
+            answer_problem(self.course, self.request, problem, score=raw_earned, max_value=raw_possible)
+
+        # get grade
+        subsection_grade = SubsectionGradeFactory(
+            self.request.user, self.course, course_structure
+        ).update(self.sequential)
+
+        # verify all problem grades
+        for problem in self.problems:
+            problem_score = subsection_grade.locations_to_scores[problem.location]
+            expected_score.display_name = display_name_with_default_escaped(problem)
+            expected_score.module_id = problem.location
+            self.assertEquals(problem_score, expected_score)
+
+        # verify subsection grades
+        self.assertEquals(subsection_grade.all_total.earned, expected_score.earned * len(self.problems))
+        self.assertEquals(subsection_grade.all_total.possible, expected_score.possible * len(self.problems))
+
+    @ddt.data(
+        *itertools.product(
+            (0.0, 0.5, 1.0, 2.0),  # raw_earned
+            (-2.0, -1.0, 0.0, 0.5, 1.0, 2.0),  # raw_possible
+            (-2.0, -1.0, -0.5, 0.0, 0.5, 1.0, 2.0, 50.0, None),  # weight
+        )
+    )
+    @ddt.unpack
+    def test_problem_weight(self, raw_earned, raw_possible, weight):
+
+        use_weight = weight is not None and raw_possible != 0
+        if use_weight:
+            expected_w_earned = raw_earned / raw_possible * weight
+            expected_w_possible = weight
+        else:
+            expected_w_earned = raw_earned
+            expected_w_possible = raw_possible
+
+        expected_graded = expected_w_possible > 0
+
+        expected_score = ProblemScore(
+            raw_earned=raw_earned,
+            raw_possible=raw_possible,
+            weighted_earned=expected_w_earned,
+            weighted_possible=expected_w_possible,
+            weight=weight,
+            graded=expected_graded,
+            display_name=None,  # problem-specific, filled in by _verify_grades
+            module_id=None,  # problem-specific, filled in by _verify_grades
+        )
+        self._verify_grades(raw_earned, raw_possible, weight, expected_score)
+
+
 class TestScoreForModule(SharedModuleStoreTestCase):
     """
     Test the method that calculates the score for a given block based on the

lms/djangoapps/grades/tests/test_models.py

@@ -71,8 +71,8 @@ class GradesModelTestCase(TestCase):
             block_type='problem',
             block_id='block_id_b'
         )
-        self.record_a = BlockRecord(locator=self.locator_a, weight=1, max_score=10)
-        self.record_b = BlockRecord(locator=self.locator_b, weight=1, max_score=10)
+        self.record_a = BlockRecord(locator=self.locator_a, weight=1, raw_possible=10, graded=False)
+        self.record_b = BlockRecord(locator=self.locator_b, weight=1, raw_possible=10, graded=True)
 
 
 @ddt.ddt
@@ -88,29 +88,31 @@ class BlockRecordTest(GradesModelTestCase):
         Tests creation of a BlockRecord.
         """
         weight = 1
-        max_score = 10
+        raw_possible = 10
         record = BlockRecord(
             self.locator_a,
             weight,
-            max_score,
+            raw_possible,
+            graded=False,
         )
         self.assertEqual(record.locator, self.locator_a)
 
     @ddt.data(
-        (0, 0, "0123456789abcdef"),
-        (1, 10, 'totally_a_real_block_key'),
-        ("BlockRecord is", "a dumb data store", "with no validation"),
+        (0, 0, "0123456789abcdef", True),
+        (1, 10, 'totally_a_real_block_key', False),
+        ("BlockRecord is", "a dumb data store", "with no validation", None),
     )
     @ddt.unpack
-    def test_serialization(self, weight, max_score, block_key):
+    def test_serialization(self, weight, raw_possible, block_key, graded):
         """
         Tests serialization of a BlockRecord using the _asdict() method.
         """
-        record = BlockRecord(block_key, weight, max_score)
+        record = BlockRecord(block_key, weight, raw_possible, graded)
         expected = OrderedDict([
             ("locator", block_key),
             ("weight", weight),
-            ("max_score", max_score),
+            ("raw_possible", raw_possible),
+            ("graded", graded),
         ])
         self.assertEqual(expected, record._asdict())
 
@@ -134,7 +136,12 @@ class VisibleBlocksTest(GradesModelTestCase):
         for block_dict in list_of_block_dicts:
             block_dict['locator'] = unicode(block_dict['locator'])  # BlockUsageLocator is not json-serializable
         expected_data = {
-            'blocks': [{'locator': unicode(self.record_a.locator), 'max_score': 10, 'weight': 1}],
+            'blocks': [{
+                'locator': unicode(self.record_a.locator),
+                'raw_possible': 10,
+                'weight': 1,
+                'graded': self.record_a.graded,
+            }],
             'course_key': unicode(self.record_a.locator.course_key),
             'version': BLOCK_RECORD_LIST_VERSION,
         }

lms/djangoapps/grades/tests/test_new.py

 """
 Test saved subsection grade functionality.
 """
-
+# pylint: disable=protected-access
 import ddt
 from django.conf import settings
 from django.db.utils import DatabaseError
@@ -116,7 +116,7 @@ class SubsectionGradeFactoryTest(GradeTestBase):
         ) as mock_create_grade:
             with patch(
                 'lms.djangoapps.grades.new.subsection_grade.SubsectionGradeFactory._get_saved_grade',
-                wraps=self.subsection_grade_factory._get_saved_grade  # pylint: disable=protected-access
+                wraps=self.subsection_grade_factory._get_saved_grade
             ) as mock_get_saved_grade:
                 with self.assertNumQueries(14):
                     grade_a = self.subsection_grade_factory.create(self.sequence)
@@ -205,8 +205,8 @@ class SubsectionGradeTest(GradeTestBase):
         input_grade.init_from_structure(
             self.request.user,
             self.course_structure,
-            self.subsection_grade_factory._scores_client,  # pylint: disable=protected-access
-            self.subsection_grade_factory._submissions_scores,  # pylint: disable=protected-access
+            self.subsection_grade_factory._submissions_scores,
+            self.subsection_grade_factory._csm_scores,
         )
         self.assertEqual(PersistentSubsectionGrade.objects.count(), 0)
 
@@ -224,8 +224,8 @@ class SubsectionGradeTest(GradeTestBase):
             self.request.user,
             saved_model,
             self.course_structure,
-            self.subsection_grade_factory._scores_client,  # pylint: disable=protected-access
-            self.subsection_grade_factory._submissions_scores,  # pylint: disable=protected-access
+            self.subsection_grade_factory._submissions_scores,
+            self.subsection_grade_factory._csm_scores,
         )
 
         self.assertEqual(input_grade.url_name, loaded_grade.url_name)

lms/djangoapps/grades/tests/utils.py

@@ -5,6 +5,7 @@ from contextlib import contextmanager
 from mock import patch
 from courseware.module_render import get_module
 from courseware.model_data import FieldDataCache
+from xmodule.graders import ProblemScore
 
 
 @contextmanager
@@ -23,7 +24,7 @@ def mock_get_score(earned=0, possible=1):
     Mocks the get_score function to return a valid grade.
     """
     with patch('lms.djangoapps.grades.new.subsection_grade.get_score') as mock_score:
-        mock_score.return_value = (earned, possible)
+        mock_score.return_value = ProblemScore(earned, possible, earned, possible, 1, True, None, None)
         yield mock_score
 
 

lms/djangoapps/instructor_task/tasks_helper.py

@@ -948,7 +948,7 @@ def upload_problem_grade_report(_xmodule_instance_args, _entry_id, course_id, _t
 
         final_grade = gradeset['percent']
         # Only consider graded problems
-        problem_scores = {unicode(score.module_id): score for score, _ in gradeset['raw_scores'] if score.graded}
+        problem_scores = {unicode(score.module_id): score for score in gradeset['raw_scores'] if score.graded}
         earned_possible_values = list()
         for problem_id in problems:
             try: