def get_stats():
user_guesses0 = UserGuess.select().where(UserGuess.quiz_type==0)
user_guesses1 = UserGuess.select().where(UserGuess.quiz_type==1)
v0 = gen_stats(user_guesses0)
v1 = gen_stats(user_guesses1)
template = jinja_env.get_template("stats.html")
return template.render(views=[v0, v1], enumerate=enumerate)
def submit_guesses():
data = json.loads(request.forms.get("data"))
answers = data['answers']
quiz_type = data['type']
num_correct = 0
total = len(answers)
for guess in answers:
UserGuess.create(guess=int(guess['answer']), comment=guess['comment_id'], quiz_type=quiz_type)
actual_count = Comment.select().where(Comment.c_id == guess['comment_id'])[0].upvotes
num_correct += 1 if detect_group(actual_count) == int(guess['answer']) else 0
return json.dumps({"num_correct": num_correct, "total": total})
def data_split(num_train, num_test):
test_comments = [ug.comment for ug in UserGuess.select().join(Comment, on=(Comment.c_id == UserGuess.comment)).join(Submission, on=(Comment.submission == Submission.s_id))]
train_comments = training_comments((comment.c_id for comment in test_comments))
tr_num_data, te_num_data = [], []
tr_corpuses, te_corpuses = [], []
comments_read = set()
for comment in train_comments:
comments_read.add(comment.c_id)
data, corpus = create_row(comment)
tr_num_data.append(data)
tr_corpuses.append(corpus)
tr_num_data = random.sample(tr_num_data, num_train)
tr_corpuses = random.sample(tr_corpuses, num_train)
for comment in test_comments:
if comment.c_id not in comments_read:
comments_read.add(comment.c_id)
data, corpus = create_row(comment)
te_num_data.append(data)
te_corpuses.append(corpus)
te_num_data = random.sample(te_num_data, num_test)
te_corpuses = random.sample(te_corpuses, num_test)
res_num_data = np.vstack((tr_num_data, te_num_data))
res_corpuses = np.vstack((tr_corpuses, te_corpuses))
return (res_num_data, res_corpuses)
