def post(self, q_id):
global errorFactor
# required only for taking answers
user = users.get_current_user()
if not user:
self.redirect(users.create_login_url(self.request.uri))
userState = fetchGlobal(user)
a_id = self.request.get("answer")
question = None
answer = None
try:
question = fetchQuestion(int(q_id))
answer = getAnswer(int(a_id))
except dbhelper.InvalidIdError:
self.response.out.write("F")
return
if answer is not None:
result = insertQuestionAnswered(user, question.key, answer.key, evaluation=True)
self.response.out.write(result)
else:
# invalid answer given
self.response.out.write("F")
# decide if data is sufficient to end test
if userState.inflexion_1 and userState.inflexion_2:
(b_mle, se) = calculateMLE(userState.theta, user)
if se < errorFactor:
# precise enough, end test
userState.isTestFinished = True
userState.put()
return
def getNextQuestion(global_state, user):
global jumpFactor
# get the list of all questions faced
allFaced = fetchAllQuestionsParamsTestModule(user)
userState = fetchGlobal(user)
allFacedCount = len(allFaced)
print allFaced
# get the last two questions, observe the trend
if allFacedCount >= 2:
(a1, b1, c1, sec_last) = allFaced[len(allFaced) - 2]
(a2, b2, c2, last) = allFaced[len(allFaced) - 1]
else:
# faced only 1 question till now
(a1, b1, c1, sec_last) = allFaced[len(allFaced) - 1]
(a2, b2, c2, last) = allFaced[len(allFaced) - 1]
# filling with duplicate values
lasts = []
if sec_last == globals.correctAnswer:
lasts.append(True)
else:
lasts.append(False)
if last == globals.correctAnswer:
lasts.append(True)
else:
lasts.append(False)
print lasts
# calculate the nature of next question
# choose next question according to nature
(nextNature, inf1, inf2) = calculateNatureOfNextQuestion(lasts, userState.inflexion_1, userState.inflexion_2)
userState.inflexion_1 = inf1
userState.inflexion_2 = inf2
qs = None
if nextNature == globals.tougherQuestion:
try:
qs = fetchMoreDifficultQuestion(userState.theta * jumpFactor, user)
except NoMoreQuestionError:
# handle error with a page, terminate test
raise
print "Asking tougher"
userState.theta = qs.b
if nextNature == globals.easierQuestion:
try:
qs = fetchLessDifficultQuestion(userState.theta, user)
except NoMoreQuestionError:
raise
print "Asking easier"
userState.theta = qs.b
if nextNature == globals.maxInfoQuestion:
(b_mle, se) = calculateMLE(userState.theta, user)
userState.theta = b_mle
try:
qs = fetchMostInformativeQuestion(userState, user)
except NoMoreQuestionError:
raise
print "Asking max info"
# test is finished
if userState.inflexion_1 and userState.inflexion_2:
(b_mle, se) = calculateMLE(userState.theta, user)
if se < errorFactor:
# precise enough, end test
userState.isTestFinished = True
# userState.isTestFinished=True
# the latest(maximum possible) theta estimation, according to correctness of last answer
# at the end, save user state
userState.put()
return qs
