from typing import List, Literal
import json
from langchain_openai import ChatOpenAI
from langchain.prompts import ChatPromptTemplate
from app.core.config import settings
from app.models.quiz import Question
import logging

logger = logging.getLogger(__name__)

class QuizGenerator:
    def __init__(self, provider: Literal["openai", "deepseek"] = "openai"):
        # Configuration selon le provider
        if provider == "deepseek":
            self.llm = ChatOpenAI(
                model_name="deepseek-chat",
                temperature=0.7,
                openai_api_key=settings.DEEPSEEK_API_KEY,
                base_url="https://api.deepseek.com"
            )
        else:  # openai
            self.llm = ChatOpenAI(
                model_name=settings.MODEL_NAME,
                temperature=0.7,
                openai_api_key=settings.OPENAI_API_KEY
            )

    def clean_json_response(self, response_text: str) -> str:
        """Nettoie la réponse du LLM pour obtenir un JSON valide."""
        cleaned = response_text.replace('```json', '').replace('```', '').strip()
        return cleaned.strip()

    async def generate_quiz(self, theme: str, num_questions: int = 5) -> List[Question]:
        logger.debug(f"Génération de quiz - Thème: {theme}, Nb questions: {num_questions}")

        try:
            # Template pour la génération de questions
            prompt = ChatPromptTemplate.from_template("""
            Tu es un générateur de quiz intelligent.
            Génère {num_questions} questions de quiz sur le thème: {theme}

            IMPORTANT: Réponds UNIQUEMENT avec un JSON valide sans backticks ni formatage markdown.
            Format exact attendu:
            {{
                "questions": [
                    {{
                        "question": "La question",
                        "options": ["Option A", "Option B", "Option C"],
                        "correct_answer": "La bonne réponse (qui doit être une des options)"
                    }}
                ]
            }}
            """)

            # Générer les questions
            response = await self.llm.agenerate([
                prompt.format_messages(
                    theme=theme,
                    num_questions=num_questions
                )
            ])

            # Parser le JSON et créer les objets Question
            response_text = response.generations[0][0].text
            cleaned_response = self.clean_json_response(response_text)
            
            try:
                response_json = json.loads(cleaned_response)
            except json.JSONDecodeError as e:
                logger.error(f"Réponse brute: {response_text}")
                logger.error(f"Réponse nettoyée: {cleaned_response}")
                raise Exception(f"Erreur de parsing JSON: {str(e)}")
            
            questions = []
            for q in response_json["questions"]:
                questions.append(Question(
                    question=q["question"],
                    options=q["options"],
                    correct_answer=q["correct_answer"]
                ))
            
            return questions
            
        except Exception as e:
            print(f"Erreur dans generate_quiz: {str(e)}")
            raise e