def job(self):
static = StaticMicrotask.objects.filter(assigned = 1, scoring_done = 0)
i = StaticMicrotask.objects.filter(assigned = 1, scoring_done = 0).count()
k = 0
while k < i:
user = UserHistory.objects.filter(static_microtask = static[k].id)
l = UserHistory.objects.filter(static_microtask = static[k].id).count()
j = 0
while j < l:
u = user[j]
if u.translation:
pass
else:
u.delete()
j += 1
count = 0
for a in user:
count += 1
n = 1
while n <= 10:
m = 3 * n
if count == m:
break
else:
pass
n += 1
if n == 11:
break
else:
#count += 1
p = 0
input1 = []
while p<count:
input1.append(user[p].translated_sentence)
p += 1
centroid = CentroidFinder.getCentroid(input1)
#print "centroid"
#print centroid
isAnotherRunNeeded = CentroidFinder.isIterationNeeded()
if not isAnotherRunNeeded:
#print "No need for another Iteration"
st = StaticMicrotask.objects.get(id = user[0].static_microtask)
st.translated_sentence = centroid
scores = [int() for __idx0 in range(count)]
scores = CentroidFinder.getReputationscores()
z = 0
while z < count:
user[z].reputation_score = scores[z]
u = UserProfile.objects.get(user = user[z].user)
u.prev_week_score += scores[z]
u.overall_score += scores[z]
if user[z].translated_sentence == centroid:
u.no_of_perfect_translations += 1
st.user = user[z].user
u.save()
user[z].save()
z += 1
st.scoring_done = 1
st.save()
else:
st = StaticMicrotask.objects.get(id = user[0].static_microtask)
st.assigned = 0
st.hop_count += 1
st.save()
def job(self):
#unassign all microtasks first
userhist = UserHistory.objects.all()
i = UserHistory.objects.all().count()
j = 0
while j < i:
u = userhist[j]
if u.translated_sentence:
pass
else:
m = u.microtask
m.assigned = 0
m.save()
j += 1
UserHistory.objects.filter(translated_sentence=None).delete()
#code for reputation score starts here
static = StaticMicrotask.objects.filter(assigned = 1, scoring_done = 0)
i = StaticMicrotask.objects.filter(assigned = 1, scoring_done = 0).count()
k = 0
while k < i:
a = static[k]
if a:
user = UserHistory.objects.filter(static_microtask = a.id)
l = UserHistory.objects.filter(static_microtask = a.id).count()
user_responses = []
j = 0
while j < l:
u = user[j]
if u.translated_sentence:
user_responses.append(u)
else:
pass
j += 1
count = len(user_responses)
n = count
if (n % 3)==0 and n!=0:
p = 0
input1 = []
while p<count:
input1.append(user[p].translated_sentence)
p += 1
v = StaticMicrotask.objects.get(pk=a.id)
input1.append(v.machine_translation)
centroid = CentroidFinder.getCentroid(input1)
st = StaticMicrotask.objects.get(id = str(user[0].static_microtask))
st.translated_sentence = centroid
scores = [int() for __idx0 in range(count)]
scores = CentroidFinder.getReputationscores()
isAnotherRunNeeded = CentroidFinder.isIterationNeeded()
if not isAnotherRunNeeded:
z = 0
while z < count:
a = user[z]
a.reputation_score = scores[z]
a.save()
u = UserProfile.objects.get(user = user[z].user)
u.prev_week_score += scores[z]
u.overall_score += scores[z]
if user[z].translated_sentence == centroid:
u.no_of_perfect_translations += 1
st.user = user[z].user
u.save()
user[z].save()
z += 1
st.scoring_done = 1
st.save()
"""perform clean-up task : Delete related entries from Microtask table
and move related entries from UserHistory to RevisedUserHistory."""
a = UserHistory.objects.filter(static_microtask = st.id)
for m in a:
r = RevisedUserHistory()
r.task = m.task
r.subtask = m.subtask
r.static_microtask = m.static_microtask
r.user = m.user
r.original_sentence = m.original_sentence
r.translated_sentence = m.translated_sentence
r.assign_timestamp = m.assign_timestamp
r.submission_timestamp = m.submission_timestamp
r.reputation_score = m.reputation_score
r.correction_episode = m.correction_episode
r.save()
UserHistory.objects.filter(static_microtask = st.id).delete()
Microtask.objects.filter(static_microtask = st.id).delete()
else:
st.assigned = 0
st.hop_count += 1
st.save()
k += 1
def reputation_score(request):
"""
This function finds scores by using centroid_score algorithm for
the sentences translated by the users. Users are given
scores for their translation and best translated
sentence is determined for a particular english sentence.
If translations are not satisfactory they are given to other
users for translation.
"""
try:
static = StaticMicrotask.objects.filter(assigned = 1, scoring_done = 0)
i = StaticMicrotask.objects.filter(assigned = 1, scoring_done = 0).count()
k = 0
while k < i:
user = UserHistory.objects.filter(static_microtask = static[k].id)
l = UserHistory.objects.filter(static_microtask = static[k].id).count()
j = 0
while j < l:
u = user[j]
if u.translated_sentence:
pass
else:
u.delete()
j += 1
count = 0
for a in user:
count += 1
n = 1
while n <= 10:
m = 3 * n
if count == m:
break
else:
pass
n += 1
if n == 11:
break
else:
p = 0
input1 = []
while p<count:
input1.append(user[p].translated_sentence)
p += 1
centroid = CentroidFinder.getCentroid(input1)
isAnotherRunNeeded = CentroidFinder.isIterationNeeded()
if not isAnotherRunNeeded:
#print "No need for another Iteration"
st = StaticMicrotask.objects.get(id = user[0].static_microtask)
st.translated_sentence = centroid
scores = [int() for __idx0 in range(count)]
scores = CentroidFinder.getReputationscores()
z = 0
while z < count:
user[z].reputation_score = scores[z]
u = UserProfile.objects.get(user = user[z].user)
u.prev_week_score += scores[z]
u.overall_score += scores[z]
if user[z].translated_sentence == centroid:
u.no_of_perfect_translations += 1
st.user = user[z].user
u.save()
user[z].save()
z += 1
st.scoring_done = 1
st.save()
else:
st = StaticMicrotask.objects.get(id = user[0].static_microtask)
st.assigned = 0
st.hop_count += 1
st.save()
data = {'msg':''}
messages.success(request, "User's reputation score updated successfully.")
return render_to_response('my_admin_tools/menu/background_task.html',data,context_instance=RequestContext(request))
except:
msg = traceback.format_exc()
data = {'msg':msg}
messages.error(request, "Update user's reputation score failed.")
return render_to_response('my_admin_tools/menu/background_task.html',data,context_instance=RequestContext(request))