Upload MisconceptTutor.py

MisconceptTutor.py

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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 페이지 기본 설정
+st.set_page_config(
+    page_title="MisconcepTutor", 
+    layout="wide", 
+    initial_sidebar_state="expanded"
+)
+
+# 경로 설정
+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')
+
+# 로깅 설정
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+# 세션 상태 초기화 - 가장 먼저 실행되도록 최상단에 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 초기화
+@st.cache_resource
+def load_question_generator():
+    """문제 생성 모델 로드"""
+    if not os.path.exists(misconception_csv_path):
+        st.error(f"CSV 파일이 존재하지 않습니다: {misconception_csv_path}")
+        raise FileNotFoundError(f"CSV 파일이 존재하지 않습니다: {misconception_csv_path}")
+    return SimilarQuestionGenerator(misconception_csv_path=misconception_csv_path)
+
+# CSV 데이터 로드 함수
+@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"파일을 찾을 수 없습니다: {data_file}")
+        logger.error(f"File not found: {data_file}")
+        return None
+
+def start_quiz():
+    """퀴즈 시작 및 초기화"""
+    df = load_data()
+    if df is None or df.empty:
+        st.error("데이터를 불러올 수 없습니다. 데이터셋을 확인해주세요.")
+        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):
+#     """유사 문제 생성"""
+#     if not isinstance(wrong_q, dict):
+#         logger.error(f"Invalid wrong_q type: {type(wrong_q)}")
+#         st.error("유사 문제 생성에 필요한 데이터 형식이 잘못되었습니다.")
+#         return None
+
+#     try:
+#         generated_q, _ = generator.generate_similar_question_with_text(
+#             construct_name=wrong_q['ConstructName'],
+#             subject_name=wrong_q['SubjectName'],
+#             question_text=wrong_q['QuestionText'],
+#             correct_answer_text=wrong_q[f'Answer{wrong_q["CorrectAnswer"]}Text'],
+#             wrong_answer_text=wrong_q[f'Answer{st.session_state.selected_wrong_answer}Text'],
+#             misconception_id=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 generating similar question: {e}")
+#         st.error(f"문제 생성 중 오류가 발생했습니다.")
+#         return None
+
+# def generate_similar_question(wrong_q, misconception_id, generator):
+#     """유사 문제 생성"""
+#     # 입력 데이터 확인
+#     logger.info(f"Generating similar question for misconception_id: {misconception_id}")
+#     logger.info(f"Wrong question data type: {type(wrong_q)}")
+#     logger.info(f"Wrong question data: {wrong_q}")
+
+#     # wrong_q가 딕셔너리가 아닌 경우 처리
+#     if not isinstance(wrong_q, dict):
+#         logger.error(f"Invalid wrong_q type: {type(wrong_q)}")
+#         st.error("유사 문제 생성에 필요한 데이터 형식이 잘못되었습니다.")
+#         return None
+
+#     # misconception_id NaN 체크
+#     if pd.isna(misconception_id):
+#         logger.warning("misconception_id 값이 NaN입니다. 기본 문제를 반환합니다.")
+#         return {
+#             'question': f"[유사 문제] {wrong_q.get('QuestionText', '문제가 제공되지 않았습니다.')}",
+#             'choices': {
+#                 'A': "보기 A",
+#                 'B': "보기 B",
+#                 'C': "보기 C",
+#                 'D': "보기 D"
+#             },
+#             'correct': 'A',
+#             'explanation': "Misconception ID가 제공되지 않아 기본 문제를 반환합니다."
+#         }
+
+#     try:
+#         # 유사 문제 생성
+#         #logger.info(f"At least I'm in")
+
+#         #logger.info(f"Type of wrong_q: {type(wrong_q)}")
+#         #logger.info(f"Content of wrong_q: {wrong_q}")
+#         #logger.info(f"Type of misconception_id: {type(misconception_id)}")
+#         #logger.info(f"Value of misconception_id: {misconception_id}")
+
+
+#         # input 정리 
+#         construct_name=wrong_q['ConstructName'],
+#         subject_name=wrong_q['SubjectName'],
+#         question_text=wrong_q['QuestionText'],
+#         correct_answer_text=wrong_q[f'Answer{wrong_q["CorrectAnswer"]}Text'],
+#         wrong_answer_text=wrong_q[f'Answer{st.session_state.selected_wrong_answer}Text'],
+#         misconception_id=int(misconception_id)
+#         #logger.info(f"Input Arguments: construct_name={construct_name}, subject_name={subject_name}, question_text={question_text}, correct_answer_text={correct_answer_text}, wrong_answer_text={wrong_answer_text}, misconception_id={misconception_id}")
+        
+#         construct_name = construct_name[0] if isinstance(construct_name, tuple) else construct_name
+#         subject_name = subject_name[0] if isinstance(subject_name, tuple) else subject_name
+#         question_text = question_text[0] if isinstance(question_text, tuple) else question_text
+#         correct_answer_text = correct_answer_text[0] if isinstance(correct_answer_text, tuple) else correct_answer_text
+#         wrong_answer_text = wrong_answer_text[0] if isinstance(wrong_answer_text, tuple) else wrong_answer_text
+#         #logger.info(f"construct_name={construct_name}, Type={type(construct_name)}, subject_name={subject_name}, Type={type(subject_name)}")
+#         #logger.info(f"question_text={question_text}, Type={type(question_text)}, correct_answer_text={correct_answer_text}, Type={type(correct_answer_text)}")
+#         #logger.info(f"wrong_answer_text={wrong_answer_text}, Type={type(wrong_answer_text)}")
+#         print("Debugging log block reached")
+
+#         #logger.info(f"Cleaned Input Arguments: construct_name={construct_name}, subject_name={subject_name}, question_text={question_text}, correct_answer_text={correct_answer_text}, wrong_answer_text={wrong_answer_text}, misconception_id={misconception_id}")
+#         #logger.debug(f"Cleaned arguments: {construct_name}, {subject_name}, {question_text}, {correct_answer_text}, {wrong_answer_text}, {misconception_id}")
+
+#         # generated_q, _ = generator.generate_similar_question_with_text(
+#         #     construct_name=wrong_q['ConstructName'],
+#         #     subject_name=wrong_q['SubjectName'],
+#         #     question_text=wrong_q['QuestionText'],
+#         #     correct_answer_text=wrong_q[f'Answer{wrong_q["CorrectAnswer"]}Text'],
+#         #     wrong_answer_text=wrong_q[f'Answer{st.session_state.selected_wrong_answer}Text'],
+#         #     misconception_id=int(misconception_id)
+#         # )
+#         logger.info(f"Inputs: construct_name={construct_name}, subject_name={subject_name}, question_text={question_text}, correct_answer_text={correct_answer_text}, wrong_answer_text={wrong_answer_text}, misconception_id={misconception_id}")
+
+#         generated_q, _ = generator.generate_similar_question_with_text(
+#             construct_name,
+#             subject_name,
+#             question_text,
+#             correct_answer_text,
+#             wrong_answer_text,
+#             misconception_id
+#         )
+#         logger.info(f"Generated question type: {type(generated_q)}")
+
+#         if generated_q: 
+#             logger.info(f"At least there is something generated")       
+#             return {
+#                 'question': generated_q.question,
+#                 'choices': generated_q.choices,
+#                 'correct': generated_q.correct_answer,
+#                 'explanation': generated_q.explanation
+#             }
+#     except Exception as e:
+#         # 디버깅을 위한 상세 오류 출력
+#         logger.error(f"Error generating similar question: {e}")
+#         st.error(f"문제 생성 중 오류가 발생했습니다. {e}")
+#         return None
+
+#     # 기본 문제 반환
+#     return {
+#         'question': f"[유사 문제] {wrong_q.get('QuestionText', '문제가 제공되지 않았습니다.')}",
+#         'choices': {
+#             'A': "새로운 보기 A",
+#             'B': "새로운 보기 B",
+#             'C': "새로운 보기 C",
+#             'D': "새로운 보기 D"
+#         },
+#         'correct': 'A',
+#         'explanation': f"이 문제는 Misconception ID {misconception_id}와 관련되어 있습니다."
+#     }
+
+def generate_similar_question(wrong_q, misconception_id, generator):
+    """유사 문제 생성"""
+    logger.info(f"Generating similar question for misconception_id: {misconception_id}")
+    
+    # 입력 데이터 유효성 검사
+    if not isinstance(wrong_q, dict):
+        logger.error(f"Invalid wrong_q type: {type(wrong_q)}")
+        st.error("유사 문제 생성에 필요한 데이터 형식이 잘못되었습니다.")
+        return None
+        
+    # misconception_id가 유효한지 확인
+    if pd.isna(misconception_id):
+        logger.warning("misconception_id is NaN")
+        return None
+        
+    try:
+        # 데이터 준비 (튜플 변환 방지)
+        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}")
+        
+        # 유사 문제 생성 호출
+        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 중 오류가 발생했습니다: {str(e)}")
+        return None
+
+    return None
+
+def handle_answer(answer, current_q):
+    """답변 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 애플리케이션 로직"""
+    st.title("MisconcepTutor")
+    
+    # Generator 초기화
+    generator = load_question_generator()
+
+    # 초기 화면
+    if st.session_state.current_step == 'initial':
+        st.write("#### 학습을 시작하겠습니다. 10개의 문제를 풀어볼까요?")
+        if st.button("학습 시작", key="start_quiz"):
+            start_quiz()
+            st.rerun()
+
+    # 퀴즈 화면
+    elif st.session_state.current_step == 'quiz':
+        current_q = st.session_state.questions.iloc[st.session_state.current_question_index]
+        
+        # 진행 상황 표시
+        progress = st.session_state.current_question_index / 10
+        st.progress(progress)
+        st.write(f"### 문제 {st.session_state.current_question_index + 1}/10")
+        
+        # 문제 표시
+        st.markdown("---")
+        st.write(current_q['QuestionText'])
+        
+        # 보기 표시
+        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()
+
+    # 복습 화면
+    elif st.session_state.current_step == 'review':
+        st.write("### 학습 결과")
+        
+        # 결과 통계
+        col1, col2, col3 = st.columns(3)
+        col1.metric("총 문제 수", 10)
+        col2.metric("맞은 문제", 10 - len(st.session_state.wrong_questions))
+        col3.metric("틀린 문제", len(st.session_state.wrong_questions))
+        
+        # 결과에 따른 메시지 표시
+        if len(st.session_state.wrong_questions) == 0:
+            st.balloons()  # 축하 효과
+            st.success("🎉 축하합니다! 모든 문제를 맞추셨어요!")
+            st.markdown("""
+            ### 🏆 수학왕이십니다! 
+            완벽한 점수를 받으셨네요! 수학적 개념을 정확하게 이해하고 계신 것 같습��다.
+            """)
+        elif len(st.session_state.wrong_questions) <= 3:
+            st.success("잘 하셨어요! 조금만 더 연습하면 완벽할 거예요!")
+        else:
+            st.info("천천히 개념을 복습해보아요. 연습하다 보면 늘어날 거예요!")
+        
+        # 네비게이션 버튼
+        col1, col2 = st.columns(2)
+        with col1:
+            if st.button("🔄 새로운 문제 세트 시작하기", use_container_width=True):
+                start_quiz()
+                st.rerun()
+        with col2:
+            if st.button("🏠 처음으로 돌아가기", use_container_width=True):
+                st.session_state.clear()
+                st.rerun()
+        
+        # 틀린 문제 분석
+        if st.session_state.wrong_questions:
+            st.write("### ✍️ 틀린 문제 분석")
+            for i, (wrong_q, misconception_id) in enumerate(zip(
+                st.session_state.wrong_questions,
+                st.session_state.misconceptions
+            )):
+                with st.expander(f"📝 틀린 문제 #{i + 1}"):
+                    st.write("**📋 문제:**")
+                    st.write(wrong_q['QuestionText'])
+                    st.write("**✅ 정답:**", wrong_q['CorrectAnswer'])
+                    
+                    st.write("---")
+                    st.write("**🔍 관련된 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 없습니다.")
+                    # try:
+                    #     misconception_text = generator.get_misconception_text(misconception_id)
+                    #     st.info(f"Misconception ID: {int(misconception_id)}\n\n{misconception_text}")
+                    # except Exception as e:
+                    #     logger.error(f"Error in get_misconception_text: {e}")
+                    #     st.info("Misconception 정보가 없습니다.")
+                    #     return None, None
+                    
+                    # 유사 문제 생성 버튼
+                    if st.button(f"📚 유사 문제 풀기 #{i + 1}", key=f"retry_{i}"):
+                        with st.spinner("유사 문제를 생성하고 있습니다..."):
+                            logger.info(f"Generating similar question for misconception_id: {misconception_id}")
+                            new_question = generate_similar_question(wrong_q, misconception_id, generator)
+                            if new_question:
+                                st.write("### 🎯 유사 문제")
+                                st.write(new_question['question'])
+                                st.write("**보기:**")
+                                for choice, text in new_question['choices'].items():
+                                    st.write(f"{choice}) {text}")
+                                st.write("**✅ 정답:**", new_question['correct'])
+                                st.write("**📝 해설:**", new_question['explanation'])
+                            else:
+                                st.error("유사 문제를 생성할 수 없습니다.")
+if __name__ == "__main__":
+    main()
+
+# random_state 42에서 정답
+    # D C A A C
+    # A B B B B