def attempt_problem_pe(user_data, user_exercise, attempt_number,
submit_time, time_taken, threshold, score,
module, ip_address):
"""
Stores data related to a PE exercise attempt
"""
if user_exercise: # and user_exercise.belongs_to(user_data):
dt_now = date_from_timestamp(submit_time) #datetime.datetime.now()
exercise = user_exercise.exercise
user_exercise.last_done = dt_now
count_hints = 0
# Build up problem log
problem_log = UserExerciseLog(
user=user_data.user,
exercise=user_exercise.exercise,
time_taken=int(round(int(time_taken)/1000)),
time_done=dt_now,
count_hints=count_hints,
hint_used=int(count_hints) > 0,
correct=score>= threshold,
count_attempts=attempt_number,
ip_address=ip_address,
)
#update list of started exercises
if not user_data.has_started(exercise):
user_data.started(exercise.id)
#just_earned_proficiency = False
user_exercise.total_done += 1
value = False
proficient = user_data.is_proficient_at(user_exercise.exercise)
if problem_log.correct:
user_exercise.total_correct += 1
user_exercise.longest_streak = 0
value = True
if not proficient:
problem_log.earned_proficiency = \
user_exercise.update_proficiency_pe(\
correct = True, \
ubook = user_data.book)
user_data.earned_proficiency(exercise.id)
user_data.save()
problem_log.save()
user_exercise.save()
if (proficient or problem_log.earned_proficiency): # and required:
update_module_proficiency(user_data, module, \
user_exercise.exercise)
return user_exercise, value
def attempt_problem_pe(user_data, user_exercise, attempt_number, submit_time,
time_taken, threshold, score, module, ip_address):
"""
Stores data related to a PE exercise attempt
"""
if user_exercise: # and user_exercise.belongs_to(user_data):
dt_now = date_from_timestamp(submit_time) #datetime.datetime.now()
exercise = user_exercise.exercise
user_exercise.last_done = dt_now
count_hints = 0
# Build up problem log
problem_log = UserExerciseLog(
user=user_data.user,
exercise=user_exercise.exercise,
time_taken=int(round(int(time_taken) / 1000)),
time_done=dt_now,
count_hints=count_hints,
hint_used=int(count_hints) > 0,
correct=score >= threshold,
count_attempts=attempt_number,
ip_address=ip_address,
)
#update list of started exercises
if not user_data.has_started(exercise):
user_data.started(exercise.id)
#just_earned_proficiency = False
user_exercise.total_done += 1
value = False
proficient = user_data.is_proficient_at(user_exercise.exercise)
if problem_log.correct:
user_exercise.total_correct += 1
user_exercise.longest_streak = 0
value = True
if not proficient:
problem_log.earned_proficiency = \
user_exercise.update_proficiency_pe(\
correct = True, \
ubook = user_data.book)
user_data.earned_proficiency(exercise.id)
user_data.save()
problem_log.save()
user_exercise.save()
if (proficient or problem_log.earned_proficiency): # and required:
update_module_proficiency(user_data, module, \
user_exercise.exercise)
return user_exercise, value
def attempt_problem(user_data, user_exercise, attempt_number,
completed, count_hints, time_taken, attempt_content, module,
ex_question, ip_address):
"""
Stores data related to a KA exercise attempt
"""
if user_exercise: # and user_exercise.belongs_to(user_data):
dt_now = datetime.datetime.now()
#exercise = user_exercise.exercise
user_exercise.last_done = dt_now
# Build up problem log for deferred put
problem_log = UserExerciseLog(
user=user_data.user,
exercise=user_exercise.exercise,
time_taken=time_taken,
time_done=dt_now,
count_hints=count_hints,
hint_used=int(count_hints) > 0,
correct=str2bool(completed) and (int(count_hints)==0) \
and (int(attempt_number) == 1),
count_attempts=attempt_number,
ex_question=ex_question,
ip_address=ip_address,
)
first_response = (attempt_number == 1 and count_hints == 0) or \
(count_hints == 1 and attempt_number == 0)
#if user_exercise.total_done > 0 and user_exercise.streak == 0 \
# and first_response:
#bingo('hints_keep_going_after_wrong')
#just_earned_proficiency = False
#update list of started exercises
if not user_data.has_started(user_exercise.exercise):
user_data.started(user_exercise.exercise.id)
proficient = user_data.is_proficient_at(user_exercise.exercise)
if str2bool(completed):
user_exercise.total_done += 1
if problem_log.correct:
# Streak only increments if problem was
#solved correctly (on first attempt)
user_exercise.total_correct += 1
user_exercise.streak += 1
user_exercise.longest_streak = max(\
user_exercise.longest_streak, \
user_exercise.streak)
user_exercise.progress = Decimal(user_exercise.streak)/\
Decimal(user_exercise.exercise.streak)
if not proficient:
problem_log.earned_proficiency = \
user_exercise.update_proficiency_ka(\
correct = True, \
ubook = user_data.book)
if user_exercise.progress >= 1:
if len(user_data.all_proficient_exercises) == 0:
user_data.all_proficient_exercises += \
"%s" % user_exercise.exercise.id
else:
user_data.all_proficient_exercises += \
",%s" % user_exercise.exercise.id
else:
user_exercise.progress = Decimal(user_exercise.streak)/\
Decimal(user_exercise.exercise.streak)
else:
if (int(count_hints) ==0) and (attempt_content!='hint') \
and (int(attempt_number) == 1):
# Only count wrong answer at most once per problem
if user_exercise.streak - 1 > 0:
user_exercise.streak = user_exercise.streak - 1
else:
user_exercise.streak = 0
user_exercise.progress = Decimal(user_exercise.streak)/\
Decimal(user_exercise.exercise.streak)
if first_response:
user_exercise.update_proficiency_model(correct=False)
problem_log.save()
user_exercise.save()
user_data.save()
if proficient or problem_log.earned_proficiency:
update_module_proficiency(user_data, \
module, \
user_exercise.exercise)
return user_exercise, True #, user_exercise_graph, goals_updated
def attempt_problem(user_data, user_exercise, attempt_number, completed,
count_hints, time_taken, attempt_content, module,
ex_question, ip_address):
"""
Stores data related to a KA exercise attempt
"""
if user_exercise: # and user_exercise.belongs_to(user_data):
dt_now = datetime.datetime.now()
#exercise = user_exercise.exercise
user_exercise.last_done = dt_now
# Build up problem log for deferred put
problem_log = UserExerciseLog(
user=user_data.user,
exercise=user_exercise.exercise,
time_taken=time_taken,
time_done=dt_now,
count_hints=count_hints,
hint_used=int(count_hints) > 0,
correct=str2bool(completed) and (int(count_hints)==0) \
and (int(attempt_number) == 1),
count_attempts=attempt_number,
ex_question=ex_question,
ip_address=ip_address,
)
first_response = (attempt_number == 1 and count_hints == 0) or \
(count_hints == 1 and attempt_number == 0)
#if user_exercise.total_done > 0 and user_exercise.streak == 0 \
# and first_response:
#bingo('hints_keep_going_after_wrong')
#just_earned_proficiency = False
#update list of started exercises
if not user_data.has_started(user_exercise.exercise):
user_data.started(user_exercise.exercise.id)
proficient = user_data.is_proficient_at(user_exercise.exercise)
if str2bool(completed):
user_exercise.total_done += 1
if problem_log.correct:
# Streak only increments if problem was
#solved correctly (on first attempt)
user_exercise.total_correct += 1
user_exercise.streak += 1
user_exercise.longest_streak = max(\
user_exercise.longest_streak, \
user_exercise.streak)
user_exercise.progress = Decimal(user_exercise.streak)/\
Decimal(user_exercise.exercise.streak)
if not proficient:
problem_log.earned_proficiency = \
user_exercise.update_proficiency_ka(\
correct = True, \
ubook = user_data.book)
if user_exercise.progress >= 1:
if len(user_data.all_proficient_exercises) == 0:
user_data.all_proficient_exercises += \
"%s" % user_exercise.exercise.id
else:
user_data.all_proficient_exercises += \
",%s" % user_exercise.exercise.id
else:
user_exercise.progress = Decimal(user_exercise.streak)/\
Decimal(user_exercise.exercise.streak)
else:
if (int(count_hints) ==0) and (attempt_content!='hint') \
and (int(attempt_number) == 1):
# Only count wrong answer at most once per problem
if user_exercise.streak - 1 > 0:
user_exercise.streak = user_exercise.streak - 1
else:
user_exercise.streak = 0
user_exercise.progress = Decimal(user_exercise.streak)/\
Decimal(user_exercise.exercise.streak)
if first_response:
user_exercise.update_proficiency_model(correct=False)
problem_log.save()
user_exercise.save()
user_data.save()
if proficient or problem_log.earned_proficiency:
update_module_proficiency(user_data, \
module, \
user_exercise.exercise)
return user_exercise, True #, user_exercise_graph, goals_updated
def attempt_problem(user_data, user_exercise, attempt_number,completed, count_hints, time_taken, attempt_content, module,ex_question, ip_address, request_type=None):
"""
Stores data related to a KA exercise attempt
"""
if user_exercise: # and user_exercise.belongs_to(user_data):
dt_now = datetime.datetime.now()
#exercise = user_exercise.exercise
user_exercise.last_done = dt_now
correct = str2bool(completed) and (int(count_hints)==0) and (int(attempt_number) == 1)
if "Summ" in user_exercise.exercise.name:
correct = correct and (user_exercise.hinted_exercise != ex_question)
# Build up problem log for deferred put
problem_log = UserExerciseLog(
user=user_data.user,
exercise=user_exercise.exercise,
time_taken=time_taken,
time_done=dt_now,
count_hints=count_hints,
hint_used=int(count_hints) > 0,
correct=correct,
count_attempts=attempt_number,
ex_question=ex_question,
ip_address=ip_address,
request_type=request_type)
first_response = (attempt_number == 1 and count_hints == 0) or \
(attempt_number == 0 and count_hints == 1)
#if user_exercise.total_done > 0 and user_exercise.streak == 0 \
# and first_response:
#bingo('hints_keep_going_after_wrong')
#just_earned_proficiency = False
#update list of started exercises
if not user_data.has_started(user_exercise.exercise):
user_data.started(user_exercise.exercise.id)
proficient = user_data.is_proficient_at(user_exercise.exercise)
if str2bool(completed):
user_exercise.total_done += 1
if problem_log.correct:
# Streak only increments if problem was
# solved correctly (on first attempt)
user_exercise.total_correct += 1
user_exercise.streak += 1
user_exercise.longest_streak = max(user_exercise.longest_streak, user_exercise.streak)
user_exercise.progress = Decimal(user_exercise.streak) / Decimal(user_exercise.exercise.streak)
if not proficient:
problem_log.earned_proficiency = user_exercise.update_proficiency_ka(correct = True, ubook = user_data.book)
if user_exercise.progress >= 1:
if len(user_data.all_proficient_exercises) == 0:
user_data.all_proficient_exercises += "%s" % user_exercise.exercise.id
else:
user_data.all_proficient_exercises += ",%s" % user_exercise.exercise.id
# save exercise_name so that the client framework won't show it again
if len(user_exercise.correct_exercises) == 0:
user_exercise.correct_exercises += '%s' % ex_question
else:
user_exercise.correct_exercises += ',%s' % ex_question
else:
user_exercise.progress = Decimal(user_exercise.streak) / Decimal(user_exercise.exercise.streak)
# when student answer an exercise correctly from first time then clear the hint
if request_type != 'hint':
user_exercise.hinted_exercise = ''
else:
if (int(count_hints) == 0) and (attempt_content!='hint') \
and (int(attempt_number) == 1):
# Only count wrong answer at most once per problem
if user_exercise.streak - 1 > 0:
user_exercise.streak = user_exercise.streak - 1
else:
user_exercise.streak = 0
user_exercise.progress = Decimal(user_exercise.streak) / Decimal(user_exercise.exercise.streak)
if first_response:
user_exercise.update_proficiency_model(correct=False)
# save exercise_name to hinted_exercise so that student won't get credit if he saw the hint then refresh the page
if request_type == 'hint' and "Summ" in user_exercise.exercise.name:
user_exercise.hinted_exercise = '%s' % ex_question
problem_log.save()
user_exercise.save()
user_data.save()
if proficient or problem_log.earned_proficiency:
update_module_proficiency(user_data, \
module, \
user_exercise.exercise)
return user_exercise, True #, user_exercise_graph, goals_updated
