def match(data):
matched_user = User.find_closest_rating(data['choice'], data['rating'],
data['username'])
if matched_user.is_authenticated:
print("He is online!")
new_question = Question(data['question'], "", current_user.name,
data['choice'])
new_question.save()
for value in data['tags']:
if value is not None:
print(value)
new_tag = Tag(value)
new_tag.save()
new_question_tag = Question_tag(new_question.id, new_tag.id)
new_question_tag.save()
chat_id = str(uuid.uuid1())
print("NEW CHAT ID IS {}".format(chat_id))
print("You are {}".format(matched_user.name))
print("I am {}".format(current_user.name))
emit('question_match', {
'question': data['question'],
'user_id': current_user.id,
'matched_user_id': matched_user.id,
'chat_id': chat_id
},
room=matched_user.room_id)
else:
flash('No matches available. Try again!')
print("No luck today!")
def quiz1():
return [
Question("what is the dog's name", {
'A': 'Jack',
'B': 'Jango'
}, ['A']),
Question("what is the cat's name", {
'A': 'Jack',
'B': 'Jango'
}, ['B'])
]
def quiz2():
return [
Question("what is the car's color", {
'A': 'Blue',
'B': 'Black'
}, ['A']),
Question("what is the house's color", {
'A': 'White',
'B': 'Brown'
}, ['B'])
]
def answer_question(self, question_str):
question = Question()
question.set_question(question_str)
question = self.__question_classifier.classify(question)
logging.info('开始处理Question:' + question.get_question() + '问题类型:' +
str(question.get_question_type()))
if question.get_question_type() == QuestionType.Open:
return self.tl_chat(question_str)
if question.get_question_type() != QuestionType.Solution:
question = self.kb_based_answer_question(question)
else:
question = self.ir_based_answer_question(question)
logging.info('候选答案: ' + question.get_expect_answer())
return question.get_expect_answer()
def ask():
print(current_user.name)
if current_user.choice == 'Hasn\'t chosen':
return redirect(url_for('choice'))
return render_template("ask.html",
user=current_user,
questions=Question.find_by_user(current_user.name))
def manager(self):
manager = Manager()
conn = sqlite3.connect('data/database.db')
cursor = conn.cursor()
cursor.execute(
'SELECT subject.id, name, question, correct_alternatives.texto, wrong_alternatives.texto FROM subject '
'LEFT JOIN question ON subject.id = question.id_subject '
'LEFT JOIN correct_alternatives ON question.id = correct_alternatives.id_question '
'LEFT JOIN wrong_alternatives ON question.id = wrong_alternatives.id_question;')
data = cursor.fetchall()
for k in range(0, len(data), 12):
questions = []
for i in range(k, k + 12, 3):
_, subject_name, question, correct_answer = data[i][:-1]
alternatives = []
for j in range(i, i + 3):
alternatives.append(data[j][-1])
random.shuffle(alternatives)
right_post = random.randint(0, 3)
alternatives.insert(right_post, correct_answer)
questions.append(Question(question, alternatives, right_post))
subject_id = Generator()
q = Quiz(subject_id, questions)
manager.subjects[subject_id] = Subject(subject_id, data[k][1], q)
return manager
def add_answer(self, question_id, source, author):
question = Question.get_by_id(int(question_id))
if not question or not source:
self.set_error_code(500)
return
#TODO: if answer is added by anonymouse, author should be set to None,
# real_author is always set.(eg. question_relationship = get_relationshiop(question))
new_answer = Answer(
parent = question.key,
summary = source[0:100],
question = question.key,
author = author.key,
real_author = author.key,
content = source.replace("\n", "<br />"),
source = source)
new_answer.put()
relation = AccountQuestionRelationService().get_relationship(author.key, question.key)
relation.my_answer = new_answer.key
relation.put()
QuestionService().update_answer_num(question.key)
return new_answer
def set_no_help(self, actor, question_id, answer_id):
question = Question.get_by_id(int(question_id))
answer = Answer.get_by_id(parent = question.key, id = int(answer_id))
relation = AccountQuestionRelationService().get_relationship(actor.key, question.key)
if not answer.key in relation.no_help_answers:
relation.no_help_answers.append(answer.key)
relation.put()
def from_mongo(cls, mongo_questions: Dict):
qid: str = mongo_questions["qid"]
questions: List[Question] = [
Question(question, qid)
for question in mongo_questions["questions"]
]
return cls(mongo_questions["qid"], questions,
mongo_questions["answers"])
def addQuestion():
# html文件修改为新建题目的文件
if request.method == "GET":
return render_template("提交题目.html")
elif request.method == "POST":
req = request.values
# 暂时略过合法性检测
questionInfo = req['questionInfo']
answer = req['answer']
diseaseName = req['diseaseName']
score = req['score']
choiceA = req['choiceA']
choiceB = req['choiceB']
choiceC = req['choiceC']
choiceD = req['choiceD']
questionInfoD = Question.query.filter_by(
questionInfo=questionInfo).first()
if questionInfoD:
return ops_renderErrJSON(msg="相同题干已存在，请再换一个试试")
# 注册写入数据库
model_question = Question()
model_question.questionInfo = questionInfo
model_question.choiceA = choiceA
model_question.choiceB = choiceB
model_question.choiceC = choiceC
model_question.choiceD = choiceD
model_question.answer = answer
model_question.score = score
model_question.diseaseName = diseaseName
db.session.add(model_question)
db.session.commit()
# json化data
temp = {}
temp["questionInfo"] = questionInfo
temp["answer"] = answer
temp["choiceA"] = choiceA
temp["choiceB"] = choiceB
temp["choiceC"] = choiceC
temp["choiceD"] = choiceD
temp["score"] = score
temp["diseaseName"] = diseaseName
data = []
data.append(temp)
return ops_renderJSON(msg="添加成功", data=data)
return "添加成功"
def create(cls, question_id, user_email, comment, **__):
question = Question.get(question_id, user_email)
command = DB.comments.insert(
dict(
q_id=question_id,
owner_email=user_email,
content=comment,
score=0,
))
DB.ex(command)
User.get(user_email) # forces a user check / creation
question = Question.get(question_id, user_email)
## increment comment count
comments = Comment.get_all_for_question(question, override_auth=True)
return {
"question": question,
"comments": comments,
}
def get_questions() -> 'list[Question]':
with open('encrypted-questions/encrypted-questions.json',
encoding='utf-8-sig') as file_json:
dictQuestions: list[dict] = json.load(file_json)
questions = [] # type: list[Question]
for x in dictQuestions:
questions.append(Question(x))
return questions
def remove_answer_from_question(self, question_id, answer_id):
question = Question.get_by_id(int(question_id))
if not question:
return
answer = Answer.get_by_id(int(answer_id), parent = question.key)
if not answer:
return
answer.key.delete()
self.update_answer_num(question.key)
return question
def we_have_the_following_quizes(context):
questions = {}
for row in context.table:
question_set_id = row['question_set_id']
question = row['question']
options = ast.literal_eval(row['options'])
expected_answers = ast.literal_eval(row['expected_answers'])
if question_set_id in questions:
questions[question_set_id].append(
Question(question, options, expected_answers))
else:
questions[question_set_id] = [
Question(question, options, expected_answers)
]
for key, value in questions.items():
print("Quiz {}".format(key))
print("\nQuestions:\n%s" % ('\n'.join(
str(question) for question in value)))
context.questions = questions
pass
def add_question(self, question: Question):
# if there are no categories, add one
if not self._train_data:
question.qid = question.question
self._questions_database.add_question_category(question.qid)
else:
# use classifier
self._classifier_lock.acquire()
qid: str = self._classifier.classify(question.question.lower())
self._classifier_lock.release()
similarity_percentage: float = self._fuzzy_check(
question.question.lower(), qid)
if similarity_percentage >= self._pass_percentage:
question.qid = qid
else:
question.qid = question.question
self._questions_database.add_question(question)
def ask_qna(users_database: UserDatabase,
questions_database: QuestionsDatabase,
immediate_subsystem: ImmediateSubsystem,
qna_subsystem: QNASubsystem):
user_id = request.get_json().get("UserIdentifier")
user: User = User.from_user_id(user_id)
user: User = users_database.find_user(user)
message: str = request.get_json().get("CurrentInput")
question: Question = Question(message)
qna_subsystem.ask_question(user, question)
return Response(status=200)
def answer_question(self, question_str):
question = Question()
question.set_question(question_str)
question = self.__question_classifier.classify(question)
logging.info('开始处理Question:' + question.question_string +
question.question_type.value)
logging.info(question.body + question.medicine + question.disease)
if question.question_type == QuestionType.Medicine:
answer = self.kb_based_answer_question(question)
if not answer:
answer = self.ir_based_answer_question(question)
elif question.question_type == QuestionType.Definition \
and len(question.body+question.medicine+question.disease) == 1:
answer = self.baike_based_answer_question(
(question.body + question.medicine + question.disease)[0])
if not answer:
answer = self.ir_based_answer_question(question)
else:
answer = self.ir_based_answer_question(question)
del question
logging.info('候选答案: ' + answer)
return answer
def search_by_tags(tags):
with SQLite() as db:
query = '''
SELECT DISTINCT q.content, q.answer, q.user, q.category, q.id FROM question as q
JOIN question_tag as qt
on qt.question_id = q.id
JOIN tag as t on t.id = qt.tag_id where t.content IN ({})
'''.format(", ".join("?" for _ in tags))
result = db.execute(query, tags)
questions = result.fetchall()
if questions is None:
return []
return [Question(*q) for q in questions]
def voteup_answer(self, actor, question_id, answer_id):
question = Question.get_by_id(int(question_id))
answer = Answer.get_by_id(parent = question.key, id = int(answer_id))
relation = AccountQuestionRelationService().get_relationship(actor.key, question.key)
if answer.key in relation.up_voted_answers:
relation.up_voted_answers = [ a for a in relation.up_voted_answers if a != answer.key ]
answer.up_voted_users = [ u for u in answer.up_voted_users if u != actor.key ]
else:
relation.up_voted_answers.append(answer.key)
answer.up_voted_users.append(actor.key)
relation.down_voted_answers = [ a for a in relation.down_voted_answers if a != answer.key ]
answer.down_voted_users = [ u for u in answer.down_voted_users if u != actor.key ]
answer.put()
relation.put()
def update_answer(self, question_id, answer_id, source):
current_question = Question.get_by_id(int(question_id))
if not current_question:
return
answer = Answer.get_by_id(int(answer_id), parent = current_question.key)
#TODO: raise 404 error.
if not answer:
return
#TODO: filter desc content using hlper method.
content = source.replace("\n", "<br />")
answer.content = content
answer.source = source
answer.put()
@staticmethod
def get_evidence(question_str):
logging.info('获取支持证据开始')
evidences = []
elements = WhooshDataSource.index_open(question_str)
for item in elements:
evidence = CqaEvidence()
evidence.set_question(item[0])
evidence.set_snippet(item[1])
evidences.append(evidence)
logging.info('获取支持证据结束')
return evidences
if __name__ == '__main__':
a = Question()
que_list = [
'我今天吃了一个麻辣烫，很辣很热，到了晚上肚子疼，闹肚子，想吐，要怎么办',
# '牙疼，牙龈红肿肿胀，口角气泡，牙龈经常出血怎么办',
# '感冒，发烧流鼻涕，昨天还咳嗽，天气太冷了，怎么办',
# '昨天吃西瓜，今天拉肚子了，不停怎么办，有什么方法',
'昨天骑车摔倒了，腿磕破了，有点出血很痛'
]
conn = mysql.connector.connect(**mqa_config.MYSQL)
cursor = conn.cursor()
for i in que_list:
b = WhooshDataSource.index_open(i)
print(b)
c = WhooshDataSource.index_open_mysql(cursor, i)
print(c)
def question1():
return Question("what is the dog's name", {
'A': 'Jack',
'B': 'Jango'
}, ['A'])
def save_answer(data):
print("save_answer")
user = User.find_by_name(str(data['username']))
question = Question.find_most_recent_by_user(user.match)
print(question.content)
Question.update_answer_by_content(str(data['answer']), question.content)
def display_question(data):
print("display")
user = User.find_by_name(str(data['username']))
question = Question.find_most_recent_by_user(user.match)
emit('display', {'question': question.content})
def decline_question(self, declining_user: User):
asking_user: User = self._users_database.find_user(User.from_user_id(declining_user.asking_user_id))
self.ask_question(asking_user, Question(declining_user.asked_question), 1, [declining_user], True)
self._users_database.update_user(declining_user, {"answer_qid": None,
"asking_user_id": None,
"asked_question": None})
def test_that_question_with_wrong_expected_answers_list_raises_exception():
with pytest.raises(Exception):
Question("what is the cat name", {'A': 'Jack', 'B': 'Jango'}, ['D'])
def focus_question_(self, is_focus, account_key, question_id): question = Question.get_by_id(int(question_id)) relation = AccountQuestionRelationService().get_relationship(account_key, question.key) relation.focused = is_focus relation.put()
def add_question(self, question: str):
quest: Question = Question(question, self.qid)
self.questions.append(quest)
return quest
def cancel_no_help(self, actor, question_id, answer_id): question = Question.get_by_id(int(question_id)) answer = Answer.get_by_id(parent = question.key, id = int(answer_id)) relation = AccountQuestionRelationService().get_relationship(actor.key, question.key) relation.no_help_answers = [ a for a in relation.no_help_answers if a != answer.key ] relation.put()
def get_answers_by_question_id(self, question_id): #don't need call entity service for single get operation question = Question.get_by_id(int(question_id)) answers = Answer.query(ancestor = question.key).fetch() return answers
def add_question(self, question_title, answers):
self.questions.append(Question(question_title, answers))
:param question_a: 问题类
"""
logging.info('问句相似度开始')
question1 = question_a.word_list
question2 = question_b.word_list
class_score = class_sim(question_a.question_type, question_b.question_type)
key_score = key_sim(question_a, question_b)
wmd_score = wmd_sim(question1, question2)
# semantic_score = semantic_sim(question1, question2)
word_score = word_sim(question1, question2)
order_score = order_sim(question1, question2)
char_tfidf_score = char_tfidf_sim(question_a.question_string,
question_b.question_string)
score = weights['class_weight']*class_score + weights['key_weight']*key_score + weights['wmd_weight']*wmd_score + \
weights['word_weight']*word_score + weights['order_weight']*order_score + \
weights['char_tfidf_weight']*char_tfidf_score
logging.info('问句相似度结束,得分为{}\n\n'.format(score))
return score
if __name__ == '__main__':
q = Question()
q.set_question('感冒了怎么办')
que = input()
while que != 'end':
q2 = Question()
q2.set_question(que)
# q.set_question_type(QuestionType.Doctor)
combination_sim()
que = input()
from typing import Optional
from fastapi import FastAPI
from model.answer import Answer
from model.question import Question
app = FastAPI()
db = {}
db[1] = Question(1, 'BMW', [
Answer(1, 'England', False),
Answer(2, 'USA', False),
Answer(3, 'Germany', True),
Answer(4, 'Japan', False)
])
db[2] = Question(2, 'Toyota', [
Answer(1, 'England', False),
Answer(2, 'USA', False),
Answer(3, 'Germany', False),
Answer(4, 'Japan', True)
])
db[3] = Question(3, 'Mini', [
Answer(1, 'England', True),
Answer(2, 'USA', False),
Answer(3, 'Germany', False),
Answer(4, 'Japan', False)
])
db[4] = Question(4, 'General Motors', [
Answer(1, 'England', False),
def archive():
return render_template("archive.html", questions=Question.all_questions())
def get(cls, question_id, comment_id, user_email, **__):
Question.get(question_id, user_email) # forces a permission check
comment_command = DB.comments.select(
(DB.comments.columns.id == comment_id)
& (DB.comments.columns.q_id == question_id))
return r2d(DB.ex(comment_command).fetchone())
def delete_question(self, question_id):
question = Question.get_by_id(int(question_id))
if not question:
return
question.key.delete()
def question3():
return Question("what is the bird's name", {
'A': 'Jack',
'B': 'Mark'
}, ['B'])
def list_questions():
result = []
for question in Question.all():
result.append(question.to_dict())
return jsonify(result), 201
def add_question_category(self, qid: str):
question_category: QuestionsCategory = QuestionsCategory(
qid, [Question(qid, qid)], [])
self._collection.insert_one(question_category.to_mongo())
def add_question(text):
session = db.Session()
question = Question(text=text)
session.add(question)
session.commit()
return question.format()
