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edx-platform
Commit 79de77cf by David Ormsbee
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Optimize grading/progress page to reduce database queries (cache max scores). 

The progress page did a number of things that make performance terrible for
courses with large numbers of problems, particularly if those problems are
customresponse CapaModule problems that need to be executed via codejail.

The grading code takes pains to not instantiate student state and execute the
problem code. If a student has answered the question, the max score is stored
in StudentModule. However, if the student hasn't attempted the question yet, we
have to run the problem code just to call .max_score() on it. This is necessary
in grade() if the student has answered other problems in the assignment (so we
can know what to divide by). This is always necessary to know in
progress_summary() because we list out every problem there. Code execution can
be especially slow if the problems need to invoke codejail.

To address this, we create a MaxScoresCache that will cache the max raw score
possible for every problem. We select the cache keys so that it will
automatically become invalidated when a new version of the course is published.

The fundamental assumption here is that a problem cannot have two different
max score values for two unscored students. A problem *can* score two students
differently such that they have different max scores. So Carlos can have 2/3 on
a problem, while Lyla gets 3/4. But if neither Carlos nor Lyla has ever
interacted with the problem (i.e. they're just seeing it on their progress
page), they must both see 0/4 -- it cannot be the case that Carlos sees 0/3 and
Lyla sees 0/4.

We used to load all student state into two separate FieldDataCache instances,
after which we do a bunch of individual queries for scored items. Part of this
split-up was done because of locking problems, but I think we might have gotten
overzealous with our manual transaction hammer.

In this commit, we consolidate all state access in grade() and progress()
to use one shared FieldDataCache. We also use a filter so that we only pull
back StudentModule state for things that might possibly affect the grade --
items that either have scores or have children.

Because some older XModules do work in their __init__() methods (like Video),
instantiating them takes time, particularly on large courses. This commit also
changes the code that fetches the grading_context to filter out children that
can't possibly affect the grade.

Finally, we introduce a ScoresClient that also tries to fetch score
information all at once, instead of in separate queries. Technically, we are
fetching this information redundantly, but that's because the state and score
interfaces are being teased apart as we move forward. Still, this only
amounts to one extra SQL query, and has very little impact on performance
overall.

Much thanks to @adampalay -- his hackathon work in #7168 formed the basis of
this.

https://openedx.atlassian.net/browse/CSM-17
parent 146742ba
Showing with 465 additions and 105 deletions
common/lib/xmodule/xmodule/course_module.py
......@@ -20,6 +20,7 @@ from xmodule.tabs import CourseTabList
from xmodule.mixin import LicenseMixin
import json
from xblock.core import XBlock
from xblock.fields import Scope, List, String, Dict, Boolean, Integer, Float
from .fields import Date
from django.utils.timezone import UTC
......@@ -1321,11 +1322,15 @@ class CourseDescriptor(CourseFields, SequenceDescriptor, LicenseMixin):
except UndefinedContext:
module = self
def possibly_scored(usage_key):
"""Can this XBlock type can have a score or children?"""
return usage_key.block_type in self.block_types_affecting_grading
all_descriptors = []
graded_sections = {}
def yield_descriptor_descendents(module_descriptor):
for child in module_descriptor.get_children():
for child in module_descriptor.get_children(usage_key_filter=possibly_scored):
yield child
for module_descriptor in yield_descriptor_descendents(child):
yield module_descriptor
......@@ -1351,6 +1356,15 @@ class CourseDescriptor(CourseFields, SequenceDescriptor, LicenseMixin):
return {'graded_sections': graded_sections,
'all_descriptors': all_descriptors, }
@lazy
def block_types_affecting_grading(self):
"""Return all block types that could impact grading (i.e. scored, or having children)."""
return frozenset(
cat for (cat, xblock_class) in XBlock.load_classes() if (
getattr(xblock_class, 'has_score', False) or getattr(xblock_class, 'has_children', False)
)
)
@staticmethod
def make_id(org, course, url_name):
return '/'.join([org, course, url_name])
......
lms/djangoapps/ccx/tests/test_field_override_performance.py
......@@ -29,7 +29,11 @@ from xmodule.modulestore.tests.utils import ProceduralCourseTestMixin
@attr('shard_1')
@mock.patch.dict(
'django.conf.settings.FEATURES', {'ENABLE_XBLOCK_VIEW_ENDPOINT': True}
'django.conf.settings.FEATURES',
{
'ENABLE_XBLOCK_VIEW_ENDPOINT': True,
'ENABLE_MAX_SCORE_CACHE': False,
}
)
@ddt.ddt
class FieldOverridePerformanceTestCase(ProceduralCourseTestMixin,
......@@ -173,18 +177,18 @@ class TestFieldOverrideMongoPerformance(FieldOverridePerformanceTestCase):
TEST_DATA = {
# (providers, course_width, enable_ccx): # of sql queries, # of mongo queries, # of xblocks
('no_overrides', 1, True): (27, 7, 14),
('no_overrides', 2, True): (135, 7, 85),
('no_overrides', 3, True): (595, 7, 336),
('ccx', 1, True): (27, 7, 14),
('ccx', 2, True): (135, 7, 85),
('ccx', 3, True): (595, 7, 336),
('no_overrides', 1, False): (27, 7, 14),
('no_overrides', 2, False): (135, 7, 85),
('no_overrides', 3, False): (595, 7, 336),
('ccx', 1, False): (27, 7, 14),
('ccx', 2, False): (135, 7, 85),
('ccx', 3, False): (595, 7, 336),
('no_overrides', 1, True): (23, 7, 14),
('no_overrides', 2, True): (68, 7, 85),
('no_overrides', 3, True): (263, 7, 336),
('ccx', 1, True): (23, 7, 14),
('ccx', 2, True): (68, 7, 85),
('ccx', 3, True): (263, 7, 336),
('no_overrides', 1, False): (23, 7, 14),
('no_overrides', 2, False): (68, 7, 85),
('no_overrides', 3, False): (263, 7, 336),
('ccx', 1, False): (23, 7, 14),
('ccx', 2, False): (68, 7, 85),
('ccx', 3, False): (263, 7, 336),
}
......@@ -196,16 +200,16 @@ class TestFieldOverrideSplitPerformance(FieldOverridePerformanceTestCase):
__test__ = True
TEST_DATA = {
('no_overrides', 1, True): (27, 4, 9),
('no_overrides', 2, True): (135, 19, 54),
('no_overrides', 3, True): (595, 84, 215),
('ccx', 1, True): (27, 4, 9),
('ccx', 2, True): (135, 19, 54),
('ccx', 3, True): (595, 84, 215),
('no_overrides', 1, False): (27, 4, 9),
('no_overrides', 2, False): (135, 19, 54),
('no_overrides', 3, False): (595, 84, 215),
('ccx', 1, False): (27, 4, 9),
('ccx', 2, False): (135, 19, 54),
('ccx', 3, False): (595, 84, 215),
('no_overrides', 1, True): (23, 4, 9),
('no_overrides', 2, True): (68, 19, 54),
('no_overrides', 3, True): (263, 84, 215),
('ccx', 1, True): (23, 4, 9),
('ccx', 2, True): (68, 19, 54),
('ccx', 3, True): (263, 84, 215),
('no_overrides', 1, False): (23, 4, 9),
('no_overrides', 2, False): (68, 19, 54),
('no_overrides', 3, False): (263, 84, 215),
('ccx', 1, False): (23, 4, 9),
('ccx', 2, False): (68, 19, 54),
('ccx', 3, False): (263, 84, 215),
}
lms/djangoapps/courseware/grades.py
# Compute grades using real division, with no integer truncation
from __future__ import division
from collections import defaultdict
from functools import partial
import json
import random
import logging
......@@ -9,11 +10,12 @@ from contextlib import contextmanager
from django.conf import settings
from django.db import transaction
from django.test.client import RequestFactory
from django.core.cache import cache
import dogstats_wrapper as dog_stats_api
from courseware import courses
from courseware.model_data import FieldDataCache
from courseware.model_data import FieldDataCache, ScoresClient
from student.models import anonymous_id_for_user
from util.module_utils import yield_dynamic_descriptor_descendants
from xmodule import graders
......@@ -25,12 +27,131 @@ from .module_render import get_module_for_descriptor
from submissions import api as sub_api # installed from the edx-submissions repository
from opaque_keys import InvalidKeyError
from opaque_keys.edx.keys import CourseKey
from openedx.core.djangoapps.signals.signals import GRADES_UPDATED
log = logging.getLogger("edx.courseware")
class MaxScoresCache(object):
"""
A cache for unweighted max scores for problems.
The key assumption here is that any problem that has not yet recorded a
score for a user is worth the same number of points. An XBlock is free to
score one student at 2/5 and another at 1/3. But a problem that has never
issued a score -- say a problem two students have only seen mentioned in
their progress pages and never interacted with -- should be worth the same
number of points for everyone.
"""
def __init__(self, cache_prefix):
self.cache_prefix = cache_prefix
self._max_scores_cache = {}
self._max_scores_updates = {}
@classmethod
def create_for_course(cls, course):
"""
Given a CourseDescriptor, return a correctly configured `MaxScoresCache`
This method will base the `MaxScoresCache` cache prefix value on the
last time something was published to the live version of the course.
This is so that we don't have to worry about stale cached values for
max scores -- any time a content change occurs, we change our cache
keys.
"""
return cls(u"{}.{}".format(course.id, course.subtree_edited_on.isoformat()))
def fetch_from_remote(self, locations):
"""
Populate the local cache with values from django's cache
"""
remote_dict = cache.get_many([self._remote_cache_key(loc) for loc in locations])
self._max_scores_cache = {
self._local_cache_key(remote_key): value
for remote_key, value in remote_dict.items()
if value is not None
}
def push_to_remote(self):
"""
Update the remote cache
"""
if self._max_scores_updates:
cache.set_many(
{
self._remote_cache_key(key): value
for key, value in self._max_scores_updates.items()
},
60 * 60 * 24 # 1 day
)
def _remote_cache_key(self, location):
"""Convert a location to a remote cache key (add our prefixing)."""
return u"grades.MaxScores.{}___{}".format(self.cache_prefix, unicode(location))
def _local_cache_key(self, remote_key):
"""Convert a remote cache key to a local cache key (i.e. location str)."""
return remote_key.split(u"___", 1)[1]
def num_cached_from_remote(self):
"""How many items did we pull down from the remote cache?"""
return len(self._max_scores_cache)
def num_cached_updates(self):
"""How many local updates are we waiting to push to the remote cache?"""
return len(self._max_scores_updates)
def set(self, location, max_score):
"""
Adds a max score to the max_score_cache
"""
loc_str = unicode(location)
if self._max_scores_cache.get(loc_str) != max_score:
self._max_scores_updates[loc_str] = max_score
def get(self, location):
"""
Retrieve a max score from the cache
"""
loc_str = unicode(location)
max_score = self._max_scores_updates.get(loc_str)
if max_score is None:
max_score = self._max_scores_cache.get(loc_str)
return max_score
def descriptor_affects_grading(block_types_affecting_grading, descriptor):
"""
Returns True if the descriptor could have any impact on grading, else False.
Something might be a scored item if it is capable of storing a score
(has_score=True). We also have to include anything that can have children,
since those children might have scores. We can avoid things like Videos,
which have state but cannot ever impact someone's grade.
"""
return descriptor.location.block_type in block_types_affecting_grading
def field_data_cache_for_grading(course, user):
"""
Given a CourseDescriptor and User, create the FieldDataCache for grading.
This will generate a FieldDataCache that only loads state for those things
that might possibly affect the grading process, and will ignore things like
Videos.
"""
descriptor_filter = partial(descriptor_affects_grading, course.block_types_affecting_grading)
return FieldDataCache.cache_for_descriptor_descendents(
course.id,
user,
course,
depth=None,
descriptor_filter=descriptor_filter
)
def answer_distributions(course_key):
"""
Given a course_key, return answer distributions in the form of a dictionary
......@@ -123,14 +244,14 @@ def answer_distributions(course_key):
@transaction.commit_manually
def grade(student, request, course, keep_raw_scores=False):
def grade(student, request, course, keep_raw_scores=False, field_data_cache=None, scores_client=None):
"""
Wraps "_grade" with the manual_transaction context manager just in case
there are unanticipated errors.
Send a signal to update the minimum grade requirement status.
"""
with manual_transaction():
grade_summary = _grade(student, request, course, keep_raw_scores)
grade_summary = _grade(student, request, course, keep_raw_scores, field_data_cache, scores_client)
responses = GRADES_UPDATED.send_robust(
sender=None,
username=request.user.username,
......@@ -145,7 +266,7 @@ def grade(student, request, course, keep_raw_scores=False):
return grade_summary
def _grade(student, request, course, keep_raw_scores):
def _grade(student, request, course, keep_raw_scores, field_data_cache, scores_client):
"""
Unwrapped version of "grade"
......@@ -166,15 +287,25 @@ def _grade(student, request, course, keep_raw_scores):
More information on the format is in the docstring for CourseGrader.
"""
grading_context = course.grading_context
raw_scores = []
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)
)
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
......@@ -202,13 +333,10 @@ def _grade(student, request, course, keep_raw_scores):
)
if not should_grade_section:
with manual_transaction():
should_grade_section = StudentModule.objects.filter(
student=student,
module_state_key__in=[
descriptor.location for descriptor in section['xmoduledescriptors']
]
).exists()
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%
......@@ -219,23 +347,24 @@ def _grade(student, request, course, keep_raw_scores):
'''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
with manual_transaction():
field_data_cache = FieldDataCache([descriptor], course.id, student)
return get_module_for_descriptor(
student, request, descriptor, field_data_cache, course.id, course=course
)
for module_descriptor in yield_dynamic_descriptor_descendants(
section_descriptor, student.id, create_module
):
descendants = yield_dynamic_descriptor_descendants(section_descriptor, student.id, create_module)
for module_descriptor in descendants:
(correct, total) = get_score(
course.id, student, module_descriptor, create_module, scores_cache=submissions_scores
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 settings.GENERATE_PROFILE_SCORES: # for debugging!
if total > 1:
correct = random.randrange(max(total - 2, 1), total + 1)
else:
......@@ -256,7 +385,7 @@ def _grade(student, request, course, keep_raw_scores):
)
)
_, graded_total = graders.aggregate_scores(scores, section_name)
__, graded_total = graders.aggregate_scores(scores, section_name)
if keep_raw_scores:
raw_scores += scores
else:
......@@ -283,11 +412,14 @@ def _grade(student, request, course, keep_raw_scores):
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
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
max_scores_cache.push_to_remote()
return grade_summary
......@@ -314,19 +446,19 @@ def grade_for_percentage(grade_cutoffs, percentage):
@transaction.commit_manually
def progress_summary(student, request, course):
def progress_summary(student, request, course, field_data_cache=None, scores_client=None):
"""
Wraps "_progress_summary" with the manual_transaction context manager just
in case there are unanticipated errors.
"""
with manual_transaction():
return _progress_summary(student, request, course)
return _progress_summary(student, request, course, field_data_cache, scores_client)
# TODO: This method is not very good. It was written in the old course style and
# then converted over and performance is not good. Once the progress page is redesigned
# to not have the progress summary this method should be deleted (so it won't be copied).
def _progress_summary(student, request, course):
def _progress_summary(student, request, course, field_data_cache=None, scores_client=None):
"""
Unwrapped version of "progress_summary".
......@@ -348,21 +480,26 @@ def _progress_summary(student, request, course):
"""
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
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:
# This student must not have access to the course.
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 = []
# Don't include chapters that aren't displayable (e.g. due to error)
......@@ -389,7 +526,12 @@ def _progress_summary(student, request, course):
):
course_id = course.id
(correct, total) = get_score(
course_id, student, module_descriptor, module_creator, scores_cache=submissions_scores
student,
module_descriptor,
module_creator,
scores_client,
submissions_scores,
max_scores_cache,
)
if correct is None and total is None:
continue
......@@ -426,10 +568,20 @@ def _progress_summary(student, request, course):
'sections': sections
})
max_scores_cache.push_to_remote()
return chapters
def get_score(course_id, user, problem_descriptor, module_creator, scores_cache=None):
def weighted_score(raw_correct, raw_total, weight):
"""Return a tuple that represents the weighted (correct, total) score."""
# If there is no weighting, or weighting can't be applied, return input.
if weight is None or raw_total == 0:
return (raw_correct, raw_total)
return (float(raw_correct) * weight / raw_total, float(weight))
def get_score(user, problem_descriptor, module_creator, scores_client, submissions_scores_cache, max_scores_cache):
"""
Return the score for a user on a problem, as a tuple (correct, total).
e.g. (5,7) if you got 5 out of 7 points.
......@@ -439,19 +591,21 @@ def get_score(course_id, user, problem_descriptor, module_creator, scores_cache=
user: a Student object
problem_descriptor: an XModuleDescriptor
scores_client: an initialized ScoresClient
module_creator: a function that takes a descriptor, and returns the corresponding XModule for this user.
Can return None if user doesn't have access, or if something else went wrong.
scores_cache: A dict of location names to (earned, possible) point tuples.
submissions_scores_cache: A dict of location names to (earned, possible) point tuples.
If an entry is found in this cache, it takes precedence.
max_scores_cache: a MaxScoresCache
"""
scores_cache = scores_cache or {}
submissions_scores_cache = submissions_scores_cache or {}
if not user.is_authenticated():
return (None, None)
location_url = problem_descriptor.location.to_deprecated_string()
if location_url in scores_cache:
return scores_cache[location_url]
if location_url in submissions_scores_cache:
return submissions_scores_cache[location_url]
# some problems have state that is updated independently of interaction
# with the LMS, so they need to always be scored. (E.g. foldit.)
......@@ -469,22 +623,27 @@ def get_score(course_id, user, problem_descriptor, module_creator, scores_cache=
# These are not problems, and do not have a score
return (None, None)
try:
student_module = StudentModule.objects.get(
student=user,
course_id=course_id,
module_state_key=problem_descriptor.location
)
except StudentModule.DoesNotExist:
student_module = None
if student_module is not None and student_module.max_grade is not None:
correct = student_module.grade if student_module.grade is not None else 0
total = student_module.max_grade
# Check the score that comes from the ScoresClient (out of CSM).
# If an entry exists and has a total associated with it, we trust that
# value. This is important for cases where a student might have seen an
# older version of the problem -- they're still graded on what was possible
# when they tried the problem, not what it's worth now.
score = scores_client.get(problem_descriptor.location)
cached_max_score = max_scores_cache.get(problem_descriptor.location)
if score and score.total is not None:
# We have a valid score, just use it.
correct = score.correct if score.correct is not None else 0.0
total = score.total
elif cached_max_score is not None and settings.FEATURES.get("ENABLE_MAX_SCORE_CACHE"):
# We don't have a valid score entry but we know from our cache what the
# max possible score is, so they've earned 0.0 / cached_max_score
correct = 0.0
total = cached_max_score
else:
# If the problem was not in the cache, or hasn't been graded yet,
# we need to instantiate the problem.
# Otherwise, the max score (cached in student_module) won't be available
# This means we don't have a valid score entry and we don't have a
# cached_max_score on hand. We know they've earned 0.0 points on this,
# but we need to instantiate the module (i.e. load student state) in
# order to find out how much it was worth.
problem = module_creator(problem_descriptor)
if problem is None:
return (None, None)
......@@ -496,17 +655,11 @@ def get_score(course_id, user, problem_descriptor, module_creator, scores_cache=
# In which case total might be None
if total is None:
return (None, None)
else:
# add location to the max score cache
max_scores_cache.set(problem_descriptor.location, total)
# Now we re-weight the problem, if specified
weight = problem_descriptor.weight
if weight is not None:
if total == 0:
log.exception("Cannot reweight a problem with zero total points. Problem: " + str(student_module))
return (correct, total)
correct = correct * weight / total
total = weight
return (correct, total)
return weighted_score(correct, total, problem_descriptor.weight)
@contextmanager
......
lms/djangoapps/courseware/model_data.py
......@@ -23,7 +23,7 @@ DjangoOrmFieldCache: A base-class for single-row-per-field caches.
import json
from abc import abstractmethod, ABCMeta
from collections import defaultdict
from collections import defaultdict, namedtuple
from .models import (
StudentModule,
XModuleUserStateSummaryField,
......@@ -741,6 +741,7 @@ class FieldDataCache(object):
self.course_id,
),
}
self.scorable_locations = set()
self.add_descriptors_to_cache(descriptors)
def add_descriptors_to_cache(self, descriptors):
......@@ -748,6 +749,7 @@ class FieldDataCache(object):
Add all `descriptors` to this FieldDataCache.
"""
if self.user.is_authenticated():
self.scorable_locations.update(desc.location for desc in descriptors if desc.has_score)
for scope, fields in self._fields_to_cache(descriptors).items():
if scope not in self.cache:
continue
......@@ -955,3 +957,63 @@ class FieldDataCache(object):
def __len__(self):
return sum(len(cache) for cache in self.cache.values())
class ScoresClient(object):
"""
Basic client interface for retrieving Score information.
Eventually, this should read and write scores, but at the moment it only
handles the read side of things.
"""
Score = namedtuple('Score', 'correct total')
def __init__(self, course_key, user_id):
"""Basic constructor. from_field_data_cache() is more appopriate for most uses."""
self.course_key = course_key
self.user_id = user_id
self._locations_to_scores = {}
self._has_fetched = False
def __contains__(self, location):
"""Return True if we have a score for this location."""
return location in self._locations_to_scores
def fetch_scores(self, locations):
"""Grab score information."""
scores_qset = StudentModule.objects.filter(
student_id=self.user_id,
course_id=self.course_key,
module_state_key__in=set(locations),
)
# Locations in StudentModule don't necessarily have course key info
# attached to them (since old mongo identifiers don't include runs).
# So we have to add that info back in before we put it into our lookup.
self._locations_to_scores.update({
UsageKey.from_string(location).map_into_course(self.course_key): self.Score(correct, total)
for location, correct, total
in scores_qset.values_list('module_state_key', 'grade', 'max_grade')
})
self._has_fetched = True
def get(self, location):
"""
Get the score for a given location, if it exists.
If we don't have a score for that location, return `None`. Note that as
convention, you should be passing in a location with full course run
information.
"""
if not self._has_fetched:
raise ValueError(
"Tried to fetch location {} from ScoresClient before fetch_scores() has run."
.format(location)
)
return self._locations_to_scores.get(location)
@classmethod
def from_field_data_cache(cls, fd_cache):
"""Create a ScoresClient from a populated FieldDataCache."""
client = cls(fd_cache.course_id, fd_cache.user.id)
client.fetch_scores(fd_cache.scorable_locations)
return client
lms/djangoapps/courseware/models.py
......@@ -133,7 +133,10 @@ class StudentModule(models.Model):
return 'StudentModule<%r>' % ({
'course_id': self.course_id,
'module_type': self.module_type,
'student': self.student.username, # pylint: disable=no-member
# We use the student_id instead of username to avoid a database hop.
# This can actually matter in cases where we're logging many of
# these (e.g. on a broken progress page).
'student_id': self.student_id, # pylint: disable=no-member
'module_state_key': self.module_state_key,
'state': str(self.state)[:20],
},)
......
lms/djangoapps/courseware/tests/test_grades.py
......@@ -2,13 +2,16 @@
Test grade calculation.
"""
from django.http import Http404
from django.test.client import RequestFactory
from mock import patch
from nose.plugins.attrib import attr
from opaque_keys.edx.locations import SlashSeparatedCourseKey
from courseware.grades import grade, iterate_grades_for
from courseware.grades import field_data_cache_for_grading, grade, iterate_grades_for, MaxScoresCache
from student.tests.factories import UserFactory
from xmodule.modulestore.tests.factories import CourseFactory
from student.models import CourseEnrollment
from xmodule.modulestore.tests.factories import CourseFactory, ItemFactory
from xmodule.modulestore.tests.django_utils import ModuleStoreTestCase
......@@ -121,3 +124,73 @@ class TestGradeIteration(ModuleStoreTestCase):
students_to_errors[student] = err_msg
return students_to_gradesets, students_to_errors
class TestMaxScoresCache(ModuleStoreTestCase):
"""
Tests for the MaxScoresCache
"""
def setUp(self):
super(TestMaxScoresCache, self).setUp()
self.student = UserFactory.create()
self.course = CourseFactory.create()
self.problems = []
for _ in xrange(3):
self.problems.append(
ItemFactory.create(category='problem', parent=self.course)
)
CourseEnrollment.enroll(self.student, self.course.id)
self.request = RequestFactory().get('/')
self.locations = [problem.location for problem in self.problems]
def test_max_scores_cache(self):
"""
Tests the behavior fo the MaxScoresCache
"""
max_scores_cache = MaxScoresCache("test_max_scores_cache")
self.assertEqual(max_scores_cache.num_cached_from_remote(), 0)
self.assertEqual(max_scores_cache.num_cached_updates(), 0)
# add score to cache
max_scores_cache.set(self.locations[0], 1)
self.assertEqual(max_scores_cache.num_cached_updates(), 1)
# push to remote cache
max_scores_cache.push_to_remote()
# create a new cache with the same params, fetch from remote cache
max_scores_cache = MaxScoresCache("test_max_scores_cache")
max_scores_cache.fetch_from_remote(self.locations)
# see cache is populated
self.assertEqual(max_scores_cache.num_cached_from_remote(), 1)
class TestFieldDataCacheScorableLocations(ModuleStoreTestCase):
"""
Make sure we can filter the locations we pull back student state for via
the FieldDataCache.
"""
def setUp(self):
super(TestFieldDataCacheScorableLocations, self).setUp()
self.student = UserFactory.create()
self.course = CourseFactory.create()
chapter = ItemFactory.create(category='chapter', parent=self.course)
sequential = ItemFactory.create(category='sequential', parent=chapter)
vertical = ItemFactory.create(category='vertical', parent=sequential)
ItemFactory.create(category='video', parent=vertical)
ItemFactory.create(category='html', parent=vertical)
ItemFactory.create(category='discussion', parent=vertical)
ItemFactory.create(category='problem', parent=vertical)
CourseEnrollment.enroll(self.student, self.course.id)
def test_field_data_cache_scorable_locations(self):
"""Only scorable locations should be in FieldDataCache.scorable_locations."""
fd_cache = field_data_cache_for_grading(self.course, self.student)
block_types = set(loc.block_type for loc in fd_cache.scorable_locations)
self.assertNotIn('video', block_types)
self.assertNotIn('html', block_types)
self.assertNotIn('discussion', block_types)
self.assertIn('problem', block_types)
lms/djangoapps/courseware/tests/test_model_data.py
......@@ -6,8 +6,7 @@ from mock import Mock, patch
from nose.plugins.attrib import attr
from functools import partial
from courseware.model_data import DjangoKeyValueStore
from courseware.model_data import InvalidScopeError, FieldDataCache
from courseware.model_data import DjangoKeyValueStore, FieldDataCache, InvalidScopeError
from courseware.models import StudentModule
from courseware.models import XModuleStudentInfoField, XModuleStudentPrefsField
......
lms/djangoapps/courseware/tests/test_submitting_problems.py
......@@ -109,6 +109,15 @@ class TestSubmittingProblems(ModuleStoreTestCase, LoginEnrollmentTestCase):
return resp
def look_at_question(self, problem_url_name):
"""
Create state for a problem, but don't answer it
"""
location = self.problem_location(problem_url_name)
modx_url = self.modx_url(location, "problem_get")
resp = self.client.get(modx_url)
return resp
def reset_question_answer(self, problem_url_name):
"""
Reset specified problem for current user.
......@@ -457,6 +466,33 @@ class TestCourseGrader(TestSubmittingProblems):
current_count = csmh.count()
self.assertEqual(current_count, 3)
def test_grade_with_max_score_cache(self):
"""
Tests that the max score cache is populated after a grading run
and that the results of grading runs before and after the cache
warms are the same.
"""
self.basic_setup()
self.submit_question_answer('p1', {'2_1': 'Correct'})
self.look_at_question('p2')
self.assertTrue(
StudentModule.objects.filter(
module_state_key=self.problem_location('p2')
).exists()
)
location_to_cache = unicode(self.problem_location('p2'))
max_scores_cache = grades.MaxScoresCache.create_for_course(self.course)
# problem isn't in the cache
max_scores_cache.fetch_from_remote([location_to_cache])
self.assertIsNone(max_scores_cache.get(location_to_cache))
self.check_grade_percent(0.33)
# problem is in the cache
max_scores_cache.fetch_from_remote([location_to_cache])
self.assertIsNotNone(max_scores_cache.get(location_to_cache))
self.check_grade_percent(0.33)
def test_none_grade(self):
"""
Check grade is 0 to begin with.
......@@ -474,6 +510,13 @@ class TestCourseGrader(TestSubmittingProblems):
self.check_grade_percent(0.33)
self.assertEqual(self.get_grade_summary()['grade'], 'B')
@patch.dict("django.conf.settings.FEATURES", {"ENABLE_MAX_SCORE_CACHE": False})
def test_grade_no_max_score_cache(self):
"""
Tests grading when the max score cache is disabled
"""
self.test_b_grade_exact()
def test_b_grade_above(self):
"""
Check grade between cutoffs.
......
lms/djangoapps/courseware/views.py
......@@ -44,7 +44,7 @@ from openedx.core.djangoapps.credit.api import (
is_user_eligible_for_credit,
is_credit_course
)
from courseware.model_data import FieldDataCache
from courseware.model_data import FieldDataCache, ScoresClient
from .module_render import toc_for_course, get_module_for_descriptor, get_module, get_module_by_usage_id
from .entrance_exams import (
course_has_entrance_exam,
......@@ -1054,10 +1054,15 @@ def _progress(request, course_key, student_id):
# The pre-fetching of groups is done to make auth checks not require an
# additional DB lookup (this kills the Progress page in particular).
student = User.objects.prefetch_related("groups").get(id=student.id)
courseware_summary = grades.progress_summary(student, request, course)
field_data_cache = grades.field_data_cache_for_grading(course, student)
scores_client = ScoresClient.from_field_data_cache(field_data_cache)
courseware_summary = grades.progress_summary(
student, request, course, field_data_cache=field_data_cache, scores_client=scores_client
)
grade_summary = grades.grade(
student, request, course, field_data_cache=field_data_cache, scores_client=scores_client
)
studio_url = get_studio_url(course, 'settings/grading')
grade_summary = grades.grade(student, request, course)
if courseware_summary is None:
#This means the student didn't have access to the course (which the instructor requested)
......
lms/djangoapps/instructor_task/tests/test_tasks_helper.py
......@@ -1336,7 +1336,7 @@ class TestCertificateGeneration(InstructorTaskModuleTestCase):
current_task = Mock()
current_task.update_state = Mock()
with self.assertNumQueries(109):
with self.assertNumQueries(125):
with patch('instructor_task.tasks_helper._get_current_task') as mock_current_task:
mock_current_task.return_value = current_task
with patch('capa.xqueue_interface.XQueueInterface.send_to_queue') as mock_queue:
......
lms/envs/common.py
......@@ -40,6 +40,7 @@ from django.utils.translation import ugettext_lazy as _
from .discussionsettings import *
import dealer.git
from xmodule.modulestore.modulestore_settings import update_module_store_settings
from xmodule.modulestore.edit_info import EditInfoMixin
from xmodule.mixin import LicenseMixin
from lms.djangoapps.lms_xblock.mixin import LmsBlockMixin
......@@ -416,6 +417,9 @@ FEATURES = {
# The block types to disable need to be specified in "x block disable config" in django admin.
'ENABLE_DISABLING_XBLOCK_TYPES': True,
# Enable the max score cache to speed up grading
'ENABLE_MAX_SCORE_CACHE': True,
}
# Ignore static asset files on import which match this pattern
......@@ -711,7 +715,7 @@ from xmodule.x_module import XModuleMixin
# These are the Mixins that should be added to every XBlock.
# This should be moved into an XBlock Runtime/Application object
# once the responsibility of XBlock creation is moved out of modulestore - cpennington
XBLOCK_MIXINS = (LmsBlockMixin, InheritanceMixin, XModuleMixin)
XBLOCK_MIXINS = (LmsBlockMixin, InheritanceMixin, XModuleMixin, EditInfoMixin)
# Allow any XBlock in the LMS
XBLOCK_SELECT_FUNCTION = prefer_xmodules
......
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