def runner(self):
if not self.checkForDB():
logging.info('Necessary database does not exist, bailing. (' \
+ self.getCourseName() + ')')
sys.exit()
self.loadData()
firstResponseTimes = self.timeToFirstResponse().values()
finiteFirstResponseTimes = [
t for t in firstResponseTimes if t != float("inf")
]
numOpenThreads = CourseStats.getNumThreads() - len(
finiteFirstResponseTimes)
ratioOpenThreads = float(numOpenThreads) / CourseStats.getNumThreads()
betweenTimes = self.timeBetweenPosts()
(postBoost, viewBoost, onThreadPostBoost,
onThreadViewBoost) = self.avgInstructorBoost()
path = os.path.join(self.getMainResultsDir(), 'results.csv')
with open(path, 'at') as fid:
fid.write(self.getCourseName() + ', ' \
+ str(len(self.activesByAnon)) + ', ' \
+ str(len(self.lectureActivesByAnon)) + ', ' \
+ str(self.contributionByActives()) + ', ' \
+ str(self.contributionByLectureActives()) + ', ' \
#+ str(self.viewingByActives()) + ', ' \
+ str(self.subscriptionsByActives()) + ', ' \
+ str(self.subscriptionsByLectureActives()) + ', ' \
+ str(self.numThreadsPerActive()) + ', ' \
+ str(self.numThreadsPerLectureActive()) + ', ' \
+ str(self.numContributionsPerActive()) + ', ' \
+ str(self.numContributionsPerLectureActive()) + ', ' \
+ str(self.numViewsPerHourPerActive()) + ', ' \
+ str(self.numViewsPerHourPerLectureActive()) + ', ' \
#+ str(self.viewContributionRatio()) + ', ' \
+ str(mean(finiteFirstResponseTimes)) + ', ' \
+ str(median(firstResponseTimes)) + ', ' \
+ str(mean(betweenTimes)) + ', ' \
+ str(median(betweenTimes)) + ', ' \
+ str(ratioOpenThreads) + ', ' \
+ str(self.avgPostLen()) + ', ' \
+ str(self.avgContributionsPerThread()) + ', ' \
+ str(self.numInstructorPosts()) + ', ' \
+ str(self.avgInstructorPostLen()) + ', ' \
+ str(postBoost) + ', ' \
+ str(viewBoost) + ', ' \
+ str(onThreadPostBoost) + ', ' \
+ str(onThreadViewBoost) + ', ' \
+ str(self.avgReputation()) + '\n')
def runner(self):
if not self.checkForDB():
logging.info('Necessary database does not exist, bailing. (' \
+ self.getCourseName() + ')')
sys.exit()
self.loadData()
firstResponseTimes = self.timeToFirstResponse().values()
finiteFirstResponseTimes = [t for t in firstResponseTimes if t != float("inf")]
numOpenThreads = CourseStats.getNumThreads() - len(finiteFirstResponseTimes)
ratioOpenThreads = float(numOpenThreads) / CourseStats.getNumThreads()
betweenTimes = self.timeBetweenPosts()
(postBoost, viewBoost, onThreadPostBoost, onThreadViewBoost) = self.avgInstructorBoost()
path = os.path.join(self.getMainResultsDir(),'results.csv')
with open(path,'at') as fid:
fid.write(self.getCourseName() + ', ' \
+ str(len(self.activesByAnon)) + ', ' \
+ str(len(self.lectureActivesByAnon)) + ', ' \
+ str(self.contributionByActives()) + ', ' \
+ str(self.contributionByLectureActives()) + ', ' \
#+ str(self.viewingByActives()) + ', ' \
+ str(self.subscriptionsByActives()) + ', ' \
+ str(self.subscriptionsByLectureActives()) + ', ' \
+ str(self.numThreadsPerActive()) + ', ' \
+ str(self.numThreadsPerLectureActive()) + ', ' \
+ str(self.numContributionsPerActive()) + ', ' \
+ str(self.numContributionsPerLectureActive()) + ', ' \
+ str(self.numViewsPerHourPerActive()) + ', ' \
+ str(self.numViewsPerHourPerLectureActive()) + ', ' \
#+ str(self.viewContributionRatio()) + ', ' \
+ str(mean(finiteFirstResponseTimes)) + ', ' \
+ str(median(firstResponseTimes)) + ', ' \
+ str(mean(betweenTimes)) + ', ' \
+ str(median(betweenTimes)) + ', ' \
+ str(ratioOpenThreads) + ', ' \
+ str(self.avgPostLen()) + ', ' \
+ str(self.avgContributionsPerThread()) + ', ' \
+ str(self.numInstructorPosts()) + ', ' \
+ str(self.avgInstructorPostLen()) + ', ' \
+ str(postBoost) + ', ' \
+ str(viewBoost) + ', ' \
+ str(onThreadPostBoost) + ', ' \
+ str(onThreadViewBoost) + ', ' \
+ str(self.avgReputation()) + '\n')
def avgContributionsPerThread(self):
return float(len(self.contributionsByUser)) / float(
CourseStats.getNumThreads())
def numThreadsPerLectureActive(self):
return float(CourseStats.getNumThreads()) / float(
len(self.lectureActivesByAnon))
def avgContributionsPerThread(self):
return float(len(self.contributionsByUser))/float(CourseStats.getNumThreads())
def numThreadsPerLectureActive(self):
return float(CourseStats.getNumThreads()) / float(len(self.lectureActivesByAnon))
