def make_psychometrics_data_update_handler(course_id, user, module_state_key):
"""
Construct and return a procedure which may be called to update
the PsychometricData instance for the given StudentModule instance.
"""
sm, status = StudentModule.objects.get_or_create(
course_id=course_id,
student=user,
module_state_key=module_state_key,
defaults={
'state': '{}',
'module_type': 'problem'
},
)
try:
pmd = PsychometricData.objects.using(db).get(studentmodule=sm)
except PsychometricData.DoesNotExist:
pmd = PsychometricData(studentmodule=sm)
def psychometrics_data_update_handler(state):
"""
This function may be called each time a problem is successfully checked
(eg on save_problem_check events in capa_module).
state = instance state (a nice, uniform way to interface - for more future psychometric feature extraction)
"""
try:
state = json.loads(sm.state)
done = state['done']
except:
log.exception("Oops, failed to eval state for %s (state=%s)" %
(sm, sm.state))
return
pmd.done = done
try:
pmd.attempts = state.get('attempts', 0)
except:
log.exception("no attempts for %s (state=%s)" % (sm, sm.state))
try:
checktimes = eval(
pmd.checktimes) # update log of attempt timestamps
except:
checktimes = []
checktimes.append(datetime.datetime.now(UTC))
pmd.checktimes = checktimes
try:
pmd.save()
except:
log.exception("Error in updating psychometrics data for %s" % sm)
return psychometrics_data_update_handler
def handle(self, *args, **options):
# delete all pmd
#PsychometricData.objects.all().delete()
#PsychometricData.objects.using(db).all().delete()
smset = StudentModule.objects.using(db).exclude(max_grade=None)
for sm in smset:
url = sm.module_state_key
location = Location(url)
if not location.category == "problem":
continue
try:
state = json.loads(sm.state)
done = state['done']
except:
print "Oops, failed to eval state for %s (state=%s)" % (
sm, sm.state)
continue
if done: # only keep if problem completed
try:
pmd = PsychometricData.objects.using(db).get(
studentmodule=sm)
except PsychometricData.DoesNotExist:
pmd = PsychometricData(studentmodule=sm)
pmd.done = done
pmd.attempts = state['attempts']
# get attempt times from tracking log
uname = sm.student.username
tset = TrackingLog.objects.using(db).filter(
username=uname, event_type__contains='save_problem_check')
tset = tset.filter(event_source='server')
tset = tset.filter(event__contains="'%s'" % url)
checktimes = [x.dtcreated for x in tset]
pmd.checktimes = checktimes
if not len(checktimes) == pmd.attempts:
print "Oops, mismatch in number of attempts and check times for %s" % pmd
#print pmd
pmd.save(using=db)
print "%d PMD entries" % PsychometricData.objects.using(
db).all().count()
def handle(self, *args, **options):
# delete all pmd
#PsychometricData.objects.all().delete()
#PsychometricData.objects.using(db).all().delete()
smset = StudentModule.objects.using(db).exclude(max_grade=None)
for sm in smset:
url = sm.module_state_key
location = Location(url)
if not location.category == "problem":
continue
try:
state = json.loads(sm.state)
done = state['done']
except:
print "Oops, failed to eval state for %s (state=%s)" % (sm, sm.state)
continue
if done: # only keep if problem completed
try:
pmd = PsychometricData.objects.using(db).get(studentmodule=sm)
except PsychometricData.DoesNotExist:
pmd = PsychometricData(studentmodule=sm)
pmd.done = done
pmd.attempts = state['attempts']
# get attempt times from tracking log
uname = sm.student.username
tset = TrackingLog.objects.using(db).filter(username=uname, event_type__contains='save_problem_check')
tset = tset.filter(event_source='server')
tset = tset.filter(event__contains="'%s'" % url)
checktimes = [x.dtcreated for x in tset]
pmd.checktimes = checktimes
if not len(checktimes) == pmd.attempts:
print "Oops, mismatch in number of attempts and check times for %s" % pmd
#print pmd
pmd.save(using=db)
print "%d PMD entries" % PsychometricData.objects.using(db).all().count()