def attempt_problem_pop(user_data, user_exercise, attempt_number,
completed, count_hints, time_taken, attempt_content, module,
ex_question, ip_address, request_post):
data = request_post.get('code')
generatedList =request_post.get('genlist')
progexType =request_post.get('progexType')
checkDefinedvar= request_post.get('checkdefvar')
if checkDefinedvar == "True":
listoftypes= request_post.get('listoftypes')
else :
listoftypes=""
# Clean the strings from bad characters
#listoftypes = ''.join([x for x in listoftypes if ord(x) < 128])
data = ''.join([x for x in data if ord(x) < 128])
# Summary Programming Exercises so we need to get the current selected exercise name to run the eqivelant unit test
if request_post.get('summexname') != 'null':
exerciseName = request_post.get('summexname')
else:
exerciseName = request_post.get('sha1')
feedback, pathtouserFiles= setparameters(exerciseName, data, generatedList, checkDefinedvar , listoftypes , progexType, user_data)
if os.path.exists(pathtouserFiles ):
shutil.rmtree(pathtouserFiles)
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 = models.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=feedback[0],
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.total_done += 1
user_exercise.progress = Decimal(user_exercise.streak)/Decimal(user_exercise.exercise.streak)
# Saving student's code and the feedback received
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)
userprog_log = models.UserProgLog(
problem_log= problem_log ,
student_code= data,
feedback=feedback[1],
)
userprog_log.save()
return user_exercise,feedback
def attempt_problem_pop(user_data, user_exercise, attempt_number,
completed, count_hints, time_taken, attempt_content, module,
ex_question, ip_address, request_post):
data = request_post.get('code')
generatedList =request_post.get('genlist')
# Will have here a check from which programming exercise we got this request
# Temp: will use generated list --- if it has binarytree not a list then call the binary tree
if generatedList == "Binarytree" :
feedback= assesskaexbintree (data)
else : # should have many else and if here by time
feedback= assesskaex(data , generatedList)
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 = models.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=feedback[0],
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.total_done += 1
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,feedback #, user_exercise_graph, goals_updated
def attempt_problem_pop(
user_data,
user_exercise,
attempt_number,
completed,
count_hints,
time_taken,
attempt_content,
module,
ex_question,
ip_address,
request_post,
):
data = request_post.get("code")
generatedList = request_post.get("genlist")
# Will have here a check from which programming exercise we got this request
# Temp: will use generated list --- if it has binarytree not a list then call the binary tree
if generatedList == "Binarytree":
feedback = assesskaexbintree(data)
else: # should have many else and if here by time
feedback = assesskaex(data, generatedList)
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 = models.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=feedback[0],
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.total_done += 1
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, feedback # , user_exercise_graph, goals_updated
def attempt_problem_pop(user_data, user_exercise, attempt_number, completed,
count_hints, time_taken, attempt_content, module,
ex_question, ip_address, request_post):
data = request_post.get('code')
generatedList = request_post.get('genlist')
progexType = request_post.get('progexType')
checkDefinedvar = request_post.get('checkdefvar')
if checkDefinedvar == "True":
listoftypes = request_post.get('listoftypes')
else:
listoftypes = ""
# Clean the strings from bad characters
#listoftypes = ''.join([x for x in listoftypes if ord(x) < 128])
data = ''.join([x for x in data if ord(x) < 128])
# Summary Programming Exercises so we need to get the current selected exercise name to run the eqivelant unit test
if request_post.get('summexname') != 'null':
exerciseName = request_post.get('summexname')
else:
exerciseName = request_post.get('sha1')
feedback, pathtouserFiles = setparameters(exerciseName, data,
generatedList, checkDefinedvar,
listoftypes, progexType,
user_data)
if os.path.exists(pathtouserFiles):
shutil.rmtree(pathtouserFiles)
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 = models.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=feedback[0],
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.total_done += 1
user_exercise.progress = Decimal(
user_exercise.streak) / Decimal(
user_exercise.exercise.streak)
# Saving student's code and the feedback received
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)
userprog_log = models.UserProgLog(
problem_log=problem_log,
student_code=data,
feedback=feedback[1],
)
userprog_log.save()
return user_exercise, feedback
