def runner(self):
logging.info('SubscriptionRatio.runner(), ' + self.currCourseName)
try:
print('Working on: ' + self.currCourseName + ' (' + self.progress() +')')
self.anonForumIdMap = ModelHelper.getAnonForumIdMap()
self.forumAnonIdMap = ModelHelper.getForumAnonIdMap()
for k in range(100):
percenters = CourseStats.getKPercenters(k)
numPercenters = len(percenters)
numSubscriptions = self.countSubscriptions(percenters)
ratio = float(numSubscriptions)/ numPercenters
path = os.path.join(self.resultsDir,'results' + str(k) + '.csv')
with open(path,'at') as fid:
fid.write(self.currCourseName + ', ' \
+ str(numSubscriptions) + ', ' \
+ str(numPercenters) + ', ' \
+ str(ratio) + '\n')
except CourseDBError:
logging.info('\t\t+ ERROR (Connection does not exist), skipping...')
pass
except NoGradesError:
logging.info('\t\t+ ERROR (CourseGrades does not exist), skipping...')
pass
def loadActives(self):
# return a list of users who got > 5% of max final grade
threshold = 5
activeAnonId = CourseStats.getKPercenters(threshold)
self.activesByAnon = {}
for id in activeAnonId:
try:
self.activesByAnon[id] = self.users.getByAnon(id)
except KeyError:
pass
def loadActives(self):
# return a list of users who got > 5% of max final grade
threshold = 5
activeAnonId = CourseStats.getKPercenters(threshold)
self.activesByAnon = {}
for id in activeAnonId:
try:
self.activesByAnon[id] = self.users.getByAnon(id)
except KeyError:
pass
