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import streamlit as st
import pandas as pd
import os
from src.SecondModule.module2 import SimilarQuestionGenerator
import logging
from typing import Optional, Tuple
logging.basicConfig(level=logging.DEBUG)
# Streamlit νŽ˜μ΄μ§€ κΈ°λ³Έ μ„€μ •
st.set_page_config(
page_title="MisconcepTutor",
layout="wide",
initial_sidebar_state="expanded"
)
# 경둜 μ„€μ •
base_path = os.path.dirname(os.path.abspath(__file__))
data_path = os.path.join(base_path, 'Data')
misconception_csv_path = os.path.join(data_path, 'misconception_mapping.csv')
# λ‘œκΉ… μ„€μ •
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
# μ„Έμ…˜ μƒνƒœ μ΄ˆκΈ°ν™” - κ°€μž₯ λ¨Όμ € μ‹€ν–‰λ˜λ„λ‘ μ΅œμƒλ‹¨μ— 배치
if 'initialized' not in st.session_state:
st.session_state.initialized = True
st.session_state.wrong_questions = []
st.session_state.misconceptions = []
st.session_state.current_question_index = 0
st.session_state.generated_questions = []
st.session_state.current_step = 'initial'
st.session_state.selected_wrong_answer = None
st.session_state.questions = []
logger.info("Session state initialized")
# 문제 생성기 μ΄ˆκΈ°ν™”
@st.cache_resource
def load_question_generator():
"""문제 생성 λͺ¨λΈ λ‘œλ“œ"""
if not os.path.exists(misconception_csv_path):
st.error(f"CSV 파일이 μ‘΄μž¬ν•˜μ§€ μ•ŠμŠ΅λ‹ˆλ‹€: {misconception_csv_path}")
raise FileNotFoundError(f"CSV 파일이 μ‘΄μž¬ν•˜μ§€ μ•ŠμŠ΅λ‹ˆλ‹€: {misconception_csv_path}")
return SimilarQuestionGenerator(misconception_csv_path=misconception_csv_path)
# CSV 데이터 λ‘œλ“œ ν•¨μˆ˜
@st.cache_data
def load_data(data_file = '/train.csv'):
try:
file_path = os.path.join(data_path, data_file.lstrip('/'))
df = pd.read_csv(file_path)
logger.info(f"Data loaded successfully from {file_path}")
return df
except FileNotFoundError:
st.error(f"νŒŒμΌμ„ 찾을 수 μ—†μŠ΅λ‹ˆλ‹€: {data_file}")
logger.error(f"File not found: {data_file}")
return None
def start_quiz():
"""ν€΄μ¦ˆ μ‹œμž‘ 및 μ΄ˆκΈ°ν™”"""
df = load_data()
if df is None or df.empty:
st.error("데이터λ₯Ό 뢈러올 수 μ—†μŠ΅λ‹ˆλ‹€. 데이터셋을 ν™•μΈν•΄μ£Όμ„Έμš”.")
return
st.session_state.questions = df.sample(n=10, random_state=42)
st.session_state.current_step = 'quiz'
st.session_state.current_question_index = 0
st.session_state.wrong_questions = []
st.session_state.misconceptions = []
st.session_state.generated_questions = []
logger.info("Quiz started")
def generate_similar_question(wrong_q, misconception_id, generator):
"""μœ μ‚¬ 문제 생성"""
logger.info(f"Generating similar question for misconception_id: {misconception_id}")
# μž…λ ₯ 데이터 μœ νš¨μ„± 검사
if not isinstance(wrong_q, dict):
logger.error(f"Invalid wrong_q type: {type(wrong_q)}")
st.error("μœ μ‚¬ 문제 생성에 ν•„μš”ν•œ 데이터 ν˜•μ‹μ΄ 잘λͺ»λ˜μ—ˆμŠ΅λ‹ˆλ‹€.")
return None
# misconception_idκ°€ μœ νš¨ν•œμ§€ 확인
if pd.isna(misconception_id):
logger.warning("misconception_id is NaN")
return None
try:
# 데이터 μ€€λΉ„ (νŠœν”Œ λ³€ν™˜ λ°©μ§€)
input_data = {
'construct_name': str(wrong_q.get('ConstructName', '')),
'subject_name': str(wrong_q.get('SubjectName', '')),
'question_text': str(wrong_q.get('QuestionText', '')),
'correct_answer_text': str(wrong_q.get(f'Answer{wrong_q["CorrectAnswer"]}Text', '')),
'wrong_answer_text': str(wrong_q.get(f'Answer{st.session_state.selected_wrong_answer}Text', '')),
'misconception_id': int(misconception_id)
}
logger.info(f"Prepared input data: {input_data}")
# μœ μ‚¬ 문제 생성 호좜
generated_q, _ = generator.generate_similar_question_with_text(
construct_name=input_data['construct_name'],
subject_name=input_data['subject_name'],
question_text=input_data['question_text'],
correct_answer_text=input_data['correct_answer_text'],
wrong_answer_text=input_data['wrong_answer_text'],
misconception_id=input_data['misconception_id']
)
if generated_q:
return {
'question': generated_q.question,
'choices': generated_q.choices,
'correct': generated_q.correct_answer,
'explanation': generated_q.explanation
}
except Exception as e:
logger.error(f"Error in generate_similar_question: {str(e)}")
st.error(f"문제 생성 쀑 였λ₯˜κ°€ λ°œμƒν–ˆμŠ΅λ‹ˆλ‹€: {str(e)}")
return None
return None
def handle_answer(answer, current_q):
"""λ‹΅λ³€ 처리"""
if answer != current_q['CorrectAnswer']:
wrong_q_dict = current_q.to_dict()
st.session_state.wrong_questions.append(wrong_q_dict)
st.session_state.selected_wrong_answer = answer
misconception_key = f'Misconception{answer}Id'
misconception_id = current_q.get(misconception_key)
st.session_state.misconceptions.append(misconception_id)
st.session_state.current_question_index += 1
if st.session_state.current_question_index >= 10:
st.session_state.current_step = 'review'
def main():
"""메인 μ• ν”Œλ¦¬μΌ€μ΄μ…˜ 둜직"""
st.title("MisconcepTutor")
# Generator μ΄ˆκΈ°ν™”
generator = load_question_generator()
# 초기 ν™”λ©΄
if st.session_state.current_step == 'initial':
st.write("#### ν•™μŠ΅μ„ μ‹œμž‘ν•˜κ² μŠ΅λ‹ˆλ‹€. 10개의 문제λ₯Ό ν’€μ–΄λ³ΌκΉŒμš”?")
if st.button("ν•™μŠ΅ μ‹œμž‘", key="start_quiz"):
start_quiz()
st.rerun()
# ν€΄μ¦ˆ ν™”λ©΄
elif st.session_state.current_step == 'quiz':
current_q = st.session_state.questions.iloc[st.session_state.current_question_index]
# μ§„ν–‰ 상황 ν‘œμ‹œ
progress = st.session_state.current_question_index / 10
st.progress(progress)
st.write(f"### 문제 {st.session_state.current_question_index + 1}/10")
# 문제 ν‘œμ‹œ
st.markdown("---")
st.write(current_q['QuestionText'])
# 보기 ν‘œμ‹œ
col1, col2 = st.columns(2)
with col1:
if st.button(f"A) {current_q['AnswerAText']}", key="A"):
handle_answer('A', current_q)
st.rerun()
if st.button(f"C) {current_q['AnswerCText']}", key="C"):
handle_answer('C', current_q)
st.rerun()
with col2:
if st.button(f"B) {current_q['AnswerBText']}", key="B"):
handle_answer('B', current_q)
st.rerun()
if st.button(f"D) {current_q['AnswerDText']}", key="D"):
handle_answer('D', current_q)
st.rerun()
# 볡슡 ν™”λ©΄
elif st.session_state.current_step == 'review':
st.write("### ν•™μŠ΅ κ²°κ³Ό")
# κ²°κ³Ό 톡계
col1, col2, col3 = st.columns(3)
col1.metric("총 문제 수", 10)
col2.metric("λ§žμ€ 문제", 10 - len(st.session_state.wrong_questions))
col3.metric("ν‹€λ¦° 문제", len(st.session_state.wrong_questions))
# 결과에 λ”°λ₯Έ λ©”μ‹œμ§€ ν‘œμ‹œ
if len(st.session_state.wrong_questions) == 0:
st.balloons() # μΆ•ν•˜ 효과
st.success("πŸŽ‰ μΆ•ν•˜ν•©λ‹ˆλ‹€! λͺ¨λ“  문제λ₯Ό λ§žμΆ”μ…¨μ–΄μš”!")
st.markdown("""
### πŸ† μˆ˜ν•™μ™•μ΄μ‹­λ‹ˆλ‹€!
μ™„λ²½ν•œ 점수λ₯Ό λ°›μœΌμ…¨λ„€μš”! μˆ˜ν•™μ  κ°œλ…μ„ μ •ν™•ν•˜κ²Œ μ΄ν•΄ν•˜κ³  계신 것 κ°™μŠ΅λ‹ˆλ‹€.
""")
elif len(st.session_state.wrong_questions) <= 3:
st.success("잘 ν•˜μ…¨μ–΄μš”! 쑰금만 더 μ—°μŠ΅ν•˜λ©΄ μ™„λ²½ν•  κ±°μ˜ˆμš”!")
else:
st.info("천천히 κ°œλ…μ„ λ³΅μŠ΅ν•΄λ³΄μ•„μš”. μ—°μŠ΅ν•˜λ‹€ 보면 λŠ˜μ–΄λ‚  κ±°μ˜ˆμš”!")
# λ„€λΉ„κ²Œμ΄μ…˜ λ²„νŠΌ
col1, col2 = st.columns(2)
with col1:
if st.button("πŸ”„ μƒˆλ‘œμš΄ 문제 μ„ΈνŠΈ μ‹œμž‘ν•˜κΈ°", use_container_width=True):
start_quiz()
st.rerun()
with col2:
if st.button("🏠 처음으둜 λŒμ•„κ°€κΈ°", use_container_width=True):
st.session_state.clear()
st.rerun()
# ν‹€λ¦° 문제 뢄석
if st.session_state.wrong_questions:
st.write("### ✍️ ν‹€λ¦° 문제 뢄석")
for i, (wrong_q, misconception_id) in enumerate(zip(
st.session_state.wrong_questions,
st.session_state.misconceptions
)):
with st.expander(f"πŸ“ ν‹€λ¦° 문제 #{i + 1}"):
st.write("**πŸ“‹ 문제:**")
st.write(wrong_q['QuestionText'])
st.write("**βœ… μ •λ‹΅:**", wrong_q['CorrectAnswer'])
st.write("---")
st.write("**πŸ” κ΄€λ ¨λœ Misconception:**")
if misconception_id and not pd.isna(misconception_id):
misconception_text = generator.get_misconception_text(misconception_id)
st.info(f"Misconception ID: {int(misconception_id)}\n\n{misconception_text}")
else:
st.info("Misconception 정보가 μ—†μŠ΅λ‹ˆλ‹€.")
# ν‹€λ¦° 문제 뢄석 λΆ€λΆ„μ—μ„œ
if st.button(f"πŸ“š μœ μ‚¬ 문제 ν’€κΈ° #{i + 1}", key=f"retry_{i}"):
# μœ μ‚¬ 문제 생성 μƒνƒœλ₯Ό μ„Έμ…˜μ— μ €μž₯
st.session_state[f"show_similar_question_{i}"] = True
st.session_state[f"similar_question_answered_{i}"] = False
# κΈ°μ‘΄ λ‹΅λ³€ 기둝 μ΄ˆκΈ°ν™”
st.rerun()
# μœ μ‚¬ λ¬Έμ œκ°€ μƒμ„±λœ μƒνƒœμΈ 경우
if st.session_state.get(f"show_similar_question_{i}", False):
with st.spinner("μœ μ‚¬ 문제λ₯Ό μƒμ„±ν•˜κ³  μžˆμŠ΅λ‹ˆλ‹€..."):
new_question = generate_similar_question(wrong_q, misconception_id, generator)
if new_question:
st.write("### 🎯 μœ μ‚¬ 문제")
st.write(new_question['question'])
# λ‹΅λ³€ μƒνƒœ 확인
answered = st.session_state.get(f"similar_question_answered_{i}", False)
selected_answer = st.session_state.get(f"selected_answer_{i}", None)
# 보기 ν‘œμ‹œ
st.write("**보기:**")
col1, col2 = st.columns(2)
# λ‹΅λ³€ν•˜μ§€ μ•Šμ€ κ²½μš°μ—λ§Œ λ²„νŠΌ ν™œμ„±ν™”
if not answered:
with col1:
for option in ['A', 'C']:
if st.button(
f"{option}) {new_question['choices'][option]}",
key=f"similar_{option}_{i}"
):
st.session_state[f"similar_question_answered_{i}"] = True
st.session_state[f"selected_answer_{i}"] = option
st.rerun()
with col2:
for option in ['B', 'D']:
if st.button(
f"{option}) {new_question['choices'][option]}",
key=f"similar_{option}_{i}"
):
st.session_state[f"similar_question_answered_{i}"] = True
st.session_state[f"selected_answer_{i}"] = option
st.rerun()
# λ‹΅λ³€ν•œ 경우 κ²°κ³Ό ν‘œμ‹œ
if answered:
selected = st.session_state[f"selected_answer_{i}"]
if selected == new_question['correct']:
st.success("βœ… μ •λ‹΅μž…λ‹ˆλ‹€!")
else:
st.error(f"❌ ν‹€λ ΈμŠ΅λ‹ˆλ‹€. 정닡은 {new_question['correct']}μž…λ‹ˆλ‹€.")
# ν•΄μ„€ ν‘œμ‹œ
st.write("---")
st.write("**πŸ“ ν•΄μ„€:**", new_question['explanation'])
# λ‹€μ‹œ ν’€κΈ° λ²„νŠΌ
if st.button("πŸ”„ λ‹€μ‹œ ν’€κΈ°", key=f"reset_{i}"):
st.session_state[f"similar_question_answered_{i}"] = False
st.session_state[f"selected_answer_{i}"] = None
st.rerun()
# 문제 λ‹«κΈ° λ²„νŠΌ
if st.button("❌ 문제 λ‹«κΈ°", key=f"close_{i}"):
st.session_state[f"show_similar_question_{i}"] = False
st.rerun()
else:
st.error("μœ μ‚¬ 문제λ₯Ό 생성할 수 μ—†μŠ΅λ‹ˆλ‹€.")
if st.button("❌ λ‹«κΈ°", key=f"close_error_{i}"):
st.session_state[f"show_similar_question_{i}"] = False
st.rerun()
if __name__ == "__main__":
main()
# random_state 42μ—μ„œ μ •λ‹΅
# D C A A C
# A B B B B