def give_quiz(self, questions):
"""
Give the quiz to the student, update the question_back and score for that student
:param questions: questions that are going to be given.
:return: new question_bank, new score
"""
temp = {}
total_score = []
for i in questions:
# for manual input ans
# ans = input('Answer Question ' + str(i) + ': ')
# conf = input('Pick a self reported confidence score ranging [0, 2]: ')
# to use answer_question method from Student class
ans = self.student.answer_question(self.questions[i])
print('Answer Question ' + str(i) + ': ' + str(ans))
# randomly pick a confidence score for experimentation purposes
conf = random.randint(0, 2)
print('Pick a self reported confidence score ranging [0, 2]: ' +
str(conf))
# calculate the score using Scorer class
s = Scorer(i, self.questions[i], ans, conf)
evaluation = s.calculate_confidence()
score = s.calculate_score()
temp[i] = evaluation
total_score.append(score)
evaluations, student_score, schedule, intervals, easiness = \
self.update_student_history(new_evaluation=temp, new_score=np.mean(total_score))
print('for student' + str(self.student_name) + '\n' +
'Student Score:' + str(student_score))
# update student question_bank and mastered questions
self.student.question_bank = evaluations
self.student.update_mastered()
self.student.intervals = intervals
self.student.easiness = easiness
# print for visualization
self.print_evaluation(evaluations)
self.print_schedule(schedule)
# Save
connection = psycopg2.connect(user="******",
password="******",
host="127.0.0.1",
port="5432",
database="sm2")
cursor = connection.cursor()
str_dict, str_score, str_schedule, str_mastered, str_intervals, str_easiness = \
json.dumps(evaluations), json.dumps(self.student.score), json.dumps(schedule), \
json.dumps(list(self.student.mastered)), json.dumps(intervals), json.dumps(easiness)
insert_table_query = f'''
INSERT INTO PUBLIC.STUDENT (STUDENT_NAME, QUESTION_BANK, SCORE, SCHEDULE, MASTERED, INTERVALS, EASINESS)
VALUES
('{self.student.student_name}','{str_dict}', '{str_score}',
'{str_schedule}', '{str_mastered}','{str_intervals}','{str_easiness}')
ON CONFLICT (STUDENT_NAME) DO UPDATE SET
QUESTION_BANK = '{str_dict}',
SCORE = '{str_score}',
SCHEDULE = '{str_schedule}',
MASTERED = '{str_mastered}',
INTERVALS = '{str_intervals}',
EASINESS = '{str_easiness}';
'''
cursor.execute(insert_table_query)
connection.commit()
connection.close()
return temp, np.mean(total_score)
