Files
edx-platform/lms/djangoapps/grades/subsection_grade.py
2017-12-22 12:03:04 -05:00

300 lines
10 KiB
Python

"""
SubsectionGrade Class
"""
from abc import ABCMeta
from collections import OrderedDict
from logging import getLogger
from lazy import lazy
from lms.djangoapps.grades.models import BlockRecord, PersistentSubsectionGrade
from lms.djangoapps.grades.scores import get_score, possibly_scored
from xmodule import block_metadata_utils, graders
from xmodule.graders import AggregatedScore, ShowCorrectness
log = getLogger(__name__)
class SubsectionGradeBase(object):
"""
Abstract base class for Subsection Grades.
"""
__metaclass__ = ABCMeta
def __init__(self, subsection):
self.location = subsection.location
self.display_name = block_metadata_utils.display_name_with_default_escaped(subsection)
self.url_name = block_metadata_utils.url_name_for_block(subsection)
self.format = getattr(subsection, 'format', '')
self.due = getattr(subsection, 'due', None)
self.graded = getattr(subsection, 'graded', False)
self.show_correctness = getattr(subsection, 'show_correctness', '')
self.course_version = getattr(subsection, 'course_version', None)
self.subtree_edited_timestamp = getattr(subsection, 'subtree_edited_on', None)
self.override = None
@property
def attempted(self):
"""
Returns whether any problem in this subsection
was attempted by the student.
"""
assert self.all_total is not None, (
"SubsectionGrade not fully populated yet. Call init_from_structure or init_from_model "
"before use."
)
return self.all_total.attempted
def show_grades(self, has_staff_access):
"""
Returns whether subsection scores are currently available to users with or without staff access.
"""
return ShowCorrectness.correctness_available(self.show_correctness, self.due, has_staff_access)
@property
def attempted_graded(self):
"""
Returns whether the user had attempted a graded problem in this subsection.
"""
raise NotImplementedError
@property
def percent_graded(self):
"""
Returns the percent score of the graded problems in this subsection.
"""
raise NotImplementedError
class ZeroSubsectionGrade(SubsectionGradeBase):
"""
Class for Subsection Grades with Zero values.
"""
def __init__(self, subsection, course_data):
super(ZeroSubsectionGrade, self).__init__(subsection)
self.course_data = course_data
@property
def attempted_graded(self):
return False
@property
def percent_graded(self):
return 0.0
@property
def all_total(self):
return self._aggregate_scores[0]
@property
def graded_total(self):
return self._aggregate_scores[1]
@lazy
def _aggregate_scores(self):
return graders.aggregate_scores(self.problem_scores.values())
@lazy
def problem_scores(self):
"""
Overrides the problem_scores member variable in order
to return empty scores for all scorable problems in the
course.
"""
locations = OrderedDict() # dict of problem locations to ProblemScore
for block_key in self.course_data.structure.post_order_traversal(
filter_func=possibly_scored,
start_node=self.location,
):
block = self.course_data.structure[block_key]
if getattr(block, 'has_score', False):
problem_score = get_score(
submissions_scores={}, csm_scores={}, persisted_block=None, block=block,
)
if problem_score is not None:
locations[block_key] = problem_score
return locations
class NonZeroSubsectionGrade(SubsectionGradeBase):
"""
Abstract base class for Subsection Grades with
possibly NonZero values.
"""
__metaclass__ = ABCMeta
def __init__(self, subsection, all_total, graded_total, override=None):
super(NonZeroSubsectionGrade, self).__init__(subsection)
self.all_total = all_total
self.graded_total = graded_total
self.override = override
@property
def attempted_graded(self):
return self.graded_total.first_attempted is not None
@property
def percent_graded(self):
if self.graded_total.possible > 0:
return self.graded_total.earned / self.graded_total.possible
else:
return 0.0
@staticmethod
def _compute_block_score(
block_key,
course_structure,
submissions_scores,
csm_scores,
persisted_block=None,
):
try:
block = course_structure[block_key]
except KeyError:
# It's possible that the user's access to that
# block has changed since the subsection grade
# was last persisted.
pass
else:
if getattr(block, 'has_score', False):
return get_score(
submissions_scores,
csm_scores,
persisted_block,
block,
)
class ReadSubsectionGrade(NonZeroSubsectionGrade):
"""
Class for Subsection grades that are read from the database.
"""
def __init__(self, subsection, model, factory):
all_total = AggregatedScore(
tw_earned=model.earned_all,
tw_possible=model.possible_all,
graded=False,
first_attempted=model.first_attempted,
)
graded_total = AggregatedScore(
tw_earned=model.earned_graded,
tw_possible=model.possible_graded,
graded=True,
first_attempted=model.first_attempted,
)
override = model.override if hasattr(model, 'override') else None
# save these for later since we compute problem_scores lazily
self.model = model
self.factory = factory
super(ReadSubsectionGrade, self).__init__(subsection, all_total, graded_total, override)
@lazy
def problem_scores(self):
problem_scores = OrderedDict()
for block in self.model.visible_blocks.blocks:
problem_score = self._compute_block_score(
block.locator,
self.factory.course_data.structure,
self.factory._submissions_scores,
self.factory._csm_scores,
block,
)
if problem_score:
problem_scores[block.locator] = problem_score
return problem_scores
class CreateSubsectionGrade(NonZeroSubsectionGrade):
"""
Class for Subsection grades that are newly created or updated.
"""
def __init__(self, subsection, course_structure, submissions_scores, csm_scores):
self.problem_scores = OrderedDict()
for block_key in course_structure.post_order_traversal(
filter_func=possibly_scored,
start_node=subsection.location,
):
problem_score = self._compute_block_score(block_key, course_structure, submissions_scores, csm_scores)
if problem_score:
self.problem_scores[block_key] = problem_score
all_total, graded_total = graders.aggregate_scores(self.problem_scores.values())
super(CreateSubsectionGrade, self).__init__(subsection, all_total, graded_total)
def update_or_create_model(self, student, score_deleted=False, force_update_subsections=False):
"""
Saves or updates the subsection grade in a persisted model.
"""
if self._should_persist_per_attempted(score_deleted, force_update_subsections):
return PersistentSubsectionGrade.update_or_create_grade(**self._persisted_model_params(student))
@classmethod
def bulk_create_models(cls, student, subsection_grades, course_key):
"""
Saves the subsection grade in a persisted model.
"""
params = [
subsection_grade._persisted_model_params(student) # pylint: disable=protected-access
for subsection_grade in subsection_grades
if subsection_grade
if subsection_grade._should_persist_per_attempted() # pylint: disable=protected-access
]
return PersistentSubsectionGrade.bulk_create_grades(params, student.id, course_key)
def _should_persist_per_attempted(self, score_deleted=False, force_update_subsections=False):
"""
Returns whether the SubsectionGrade's model should be
persisted based on settings and attempted status.
If the learner's score was just deleted, they will have
no attempts but the grade should still be persisted.
If the learner's enrollment track has changed, and the
subsection *only* contains track-specific problems that the
user has attempted, a re-grade will not occur. Should force
a re-grade in this case. See EDUCATOR-1280.
"""
return (
self.all_total.first_attempted is not None or
score_deleted or
force_update_subsections
)
def _persisted_model_params(self, student):
"""
Returns the parameters for creating/updating the
persisted model for this subsection grade.
"""
return dict(
user_id=student.id,
usage_key=self.location,
course_version=self.course_version,
subtree_edited_timestamp=self.subtree_edited_timestamp,
earned_all=self.all_total.earned,
possible_all=self.all_total.possible,
earned_graded=self.graded_total.earned,
possible_graded=self.graded_total.possible,
visible_blocks=self._get_visible_blocks,
first_attempted=self.all_total.first_attempted,
)
@property
def _get_visible_blocks(self):
"""
Returns the list of visible blocks.
"""
return [
BlockRecord(location, score.weight, score.raw_possible, score.graded)
for location, score in
self.problem_scores.iteritems()
]