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feat: remove stamp_ prefix from directories
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Stijnvandenbroek
258
backend/src/main.py
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258
backend/src/main.py
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from fastapi import FastAPI, UploadFile, File, Form, HTTPException
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from fastapi.responses import JSONResponse
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import pandas as pd
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import io
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import random
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import json
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from pydantic import BaseModel
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from fastapi.middleware.cors import CORSMiddleware
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import uvicorn
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app = FastAPI()
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@app.get("/")
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async def root():
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return {"status": "ok"}
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app.add_middleware(
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CORSMiddleware,
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# Allow specific origins - both container and host URLs
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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class AnswerOption(BaseModel):
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text: str
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is_correct: bool
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class AnswerSubmission(BaseModel):
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session_id: str
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selected_answers: list[str]
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class MoveQuestionRequest(BaseModel):
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session_id: str
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question_index: int
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class SessionResetRequest(BaseModel):
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session_id: str
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class QuizSettings(BaseModel):
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repeat_on_mistake: bool
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shuffle_answers: bool
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randomise_order: bool
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question_count_multiplier: int
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# Dictionary to store session data
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quiz_sessions = {}
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@app.post("/upload-csv-with-settings/")
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async def upload_csv_with_settings(files: list[UploadFile] = File(...), settings: str = Form(...)):
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print("Received upload request:")
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print(f"Number of files: {len(files)}")
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print(f"File names: {[file.filename for file in files]}")
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print(f"Settings: {settings}")
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# Parse JSON string to QuizSettings
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try:
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quiz_settings = QuizSettings.parse_raw(settings)
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print(f"Parsed settings: {quiz_settings}")
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except json.JSONDecodeError as e:
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print(f"JSON decode error: {e}")
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return JSONResponse({"error": f"Invalid JSON in settings: {str(e)}"}, status_code=400)
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combined_df = pd.DataFrame()
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for file in files:
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try:
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print(f"Processing file: {file.filename}")
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contents = await file.read()
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df = pd.read_csv(io.BytesIO(contents))
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print(f"File columns: {df.columns.tolist()}")
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# Ensure required columns are present
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if "question" not in df.columns or "answer" not in df.columns:
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return JSONResponse({"error": f"CSV file {file.filename} must have 'question' and 'answer' columns."}, status_code=400)
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except Exception as e:
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print(f"Error processing file {file.filename}: {str(e)}")
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return JSONResponse({"error": f"Error processing {file.filename}: {str(e)}"}, status_code=400)
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# Parse answer column if it's in JSON format
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df["answer"] = df["answer"].apply(
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lambda x: json.loads(x.replace("\\\\", "\\\\\\")) if isinstance(x, str) else x
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)
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# Combine data into a single dataframe
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combined_df = pd.concat([combined_df, df], ignore_index=True)
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# Apply question count multiplier
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combined_df = pd.concat([combined_df] * quiz_settings.question_count_multiplier, ignore_index=True)
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# Randomize order if specified
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if quiz_settings.randomise_order:
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combined_df = combined_df.sample(frac=1).reset_index(drop=True)
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# Generate a unique session ID
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session_id = str(random.randint(1000, 9999))
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# Store the session data
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quiz_sessions[session_id] = {
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"data": combined_df,
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"original_data": combined_df.copy(),
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"current_question_index": 0,
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"correct_count": 0,
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"incorrect_count": 0,
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"settings": quiz_settings.dict(),
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}
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# Return the session ID to the client
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return {"session_id": session_id, "message": "Quiz session started!"}
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@app.get("/quiz-settings/")
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async def get_quiz_settings(session_id: str):
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session = quiz_sessions.get(session_id)
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if not session:
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return JSONResponse({"error": "Invalid session ID."}, status_code=400)
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return session["settings"]
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# Endpoint to get the next question
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@app.get("/next-question/")
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async def get_next_question(session_id: str):
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session = quiz_sessions.get(session_id)
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if not session:
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return JSONResponse({"error": "Invalid session ID."}, status_code=400)
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df = session["data"]
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question_index = session["current_question_index"]
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# Check if there are more questions
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if session["correct_count"] >= df.shape[0]:
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return {"message": "Quiz complete!", "total_questions": len(df)}
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# Get the current question and possible answers (for display purposes)
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question = df.loc[question_index]["question"]
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possible_answers = [ans["text"] for ans in df.loc[question_index]["answer"]]
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if session["settings"]["shuffle_answers"]:
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random.shuffle(possible_answers)
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multiple_choice = len([ans for ans in df.loc[question_index]["answer"] if ans["is_correct"]]) > 1
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return {
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"question": question,
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"options": possible_answers,
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"question_index": question_index,
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"multiple_choice": multiple_choice,
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}
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# Endpoint to submit an answer
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@app.post("/submit-answer/")
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async def submit_answer(submission: AnswerSubmission):
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if submission.session_id not in quiz_sessions:
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raise HTTPException(status_code=400, detail="Invalid session ID")
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correct_answers = get_correct_answers(submission.session_id)
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is_correct = check_answers(submission.selected_answers, correct_answers)
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update_stats(submission.session_id, is_correct)
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return {"result": "Correct" if is_correct else "Incorrect", "correct_answers": correct_answers}
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def check_answers(selected_answers: list[str], correct_answers: list[str]) -> bool:
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return set(selected_answers) == set(correct_answers)
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def get_correct_answers(session_id: str) -> list[str]:
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session = quiz_sessions.get(session_id)
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if not session:
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return JSONResponse({"error": "Invalid session ID."}, status_code=400)
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df = session["data"]
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question_index = session["current_question_index"]
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return [ans["text"] for ans in df.loc[question_index]["answer"] if ans["is_correct"]]
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def update_stats(session_id: str, is_correct: bool) -> int:
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session = quiz_sessions.get(session_id)
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if not session:
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return JSONResponse({"error": "Invalid session ID."}, status_code=400)
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session["current_question_index"] += 1
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if is_correct:
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session["correct_count"] += 1
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else:
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session["incorrect_count"] += 1
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# Endpoint to get quiz statistics
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@app.get("/quiz-stats/")
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async def get_quiz_stats(session_id: str):
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session = quiz_sessions.get(session_id)
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if not session:
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return JSONResponse({"error": "Invalid session ID."}, status_code=400)
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total_questions = len(session["data"])
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correct_count = session["correct_count"]
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incorrect_count = session["incorrect_count"]
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return {
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"total_questions": total_questions,
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"correct_answers": correct_count,
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"incorrect_answers": incorrect_count,
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}
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# Endpoint to move a given question to the bottom of the DataFrame
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@app.post("/move-question-to-bottom/")
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async def move_question_to_bottom(request: MoveQuestionRequest):
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session = quiz_sessions.get(request.session_id)
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if not session:
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raise HTTPException(status_code=400, detail="Invalid session ID.")
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df = session["data"]
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if request.question_index < 0 or request.question_index > df.index.max():
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raise HTTPException(status_code=400, detail="Invalid question index.")
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question = df.loc[request.question_index]
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if request.question_index < df.index.max():
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df = df.drop(request.question_index)
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df.loc[df.index.max() + 1] = question
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else:
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session["current_question_index"] = request.question_index
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session["data"] = df
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return {"message": "Question moved to the bottom successfully."}
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# Endpoint to reset the session
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@app.post("/reset-session/")
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async def reset_session(session_reset_request: SessionResetRequest):
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session = quiz_sessions.get(session_reset_request.session_id)
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if not session:
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return JSONResponse({"error": "Invalid session ID."}, status_code=400)
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session["current_question_index"] = 0
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session["correct_count"] = 0
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session["incorrect_count"] = 0
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session["data"] = session["original_data"].copy()
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return {"message": "Session reset successfully."}
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# Add this to run directly with python main.py
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if __name__ == "__main__":
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print("Starting server on 0.0.0.0:8000...")
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uvicorn.run(app, host="0.0.0.0", port=8000, log_level="debug")
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