# -*- coding: utf-8 -*-
"""
Quiz Tools - AI-Powered Quiz Generation from Flashcards
Supports multiple question types and uses OpenAI API for intelligent quiz creation
"""

import json
import os
import random
from datetime import datetime
from pathlib import Path
from typing import Dict, List, Any, Optional

from .config import get_user_dir
from .flashcards_tools import load_deck, list_user_decks

# Try to import OpenAI
try:
    from openai import OpenAI
    HAS_OPENAI = True
except ImportError:
    HAS_OPENAI = False


class QuizGenerator:
    """Generate intelligent quizzes using OpenAI API"""

    QUESTION_TYPES = [
        'multiple_choice',
        'fill_in_blank',
        'true_false',
        'matching',
        'short_answer'
    ]

    def __init__(self, api_key: Optional[str] = None, model: str = "gpt-4o-mini"):
        """
        Initialize the quiz generator

        Args:
            api_key: OpenAI API key (uses env var if not provided)
            model: Model to use for quiz generation
        """
        self.api_key = api_key or os.environ.get("OPENAI_API_KEY")
        self.model = model
        self.client = None

        if HAS_OPENAI and self.api_key:
            try:
                self.client = OpenAI(api_key=self.api_key)
            except Exception as e:
                print(f"[QuizGenerator] OpenAI init failed: {e}")

    def _prepare_flashcard_context(self, flashcards: List[Dict], max_cards: int = 20) -> str:
        """Prepare flashcard data as context for AI"""
        selected_cards = flashcards[:max_cards] if len(flashcards) > max_cards else flashcards

        context_parts = []
        for idx, card in enumerate(selected_cards, 1):
            card_info = (
                f"{idx}. Word: {card.get('front', '')}\n"
                f"   Translation: {card.get('back', '')}\n"
                f"   Language: {card.get('language', 'unknown')}\n"
                f"   Context: {card.get('context', 'N/A')}"
            )
            context_parts.append(card_info)

        return "\n\n".join(context_parts)

    def _create_quiz_prompt(self, flashcards: List[Dict], num_questions: int = 30) -> str:
        """Create the prompt for AI quiz generation"""
        flashcard_context = self._prepare_flashcard_context(flashcards)

        prompt = f"""You are an expert language teacher creating a QUESTION BANK to test students' knowledge of vocabulary.

Based on the following flashcards, generate exactly {num_questions} diverse quiz questions.

FLASHCARDS:
{flashcard_context}

REQUIREMENTS:
1. Generate exactly {num_questions} questions
2. Use different question types: multiple_choice, fill_in_blank, true_false, matching, short_answer
3. Questions should test different aspects: vocabulary recall, context understanding, usage
4. Each question must include the correct answer
5. For multiple choice questions, provide 4 options with one correct answer
6. For matching questions, provide 4 word-translation pairs
7. Make questions challenging but fair
8. Vary difficulty levels across questions

OUTPUT FORMAT (JSON):
{{
  "quiz_title": "Vocabulary Quiz",
  "total_questions": {num_questions},
  "questions": [
    {{
      "question_number": 1,
      "type": "multiple_choice",
      "question": "What does 'word' mean?",
      "options": ["Option A", "Option B", "Option C", "Option D"],
      "correct_answer": "Option B",
      "explanation": "Brief explanation."
    }},
    {{
      "question_number": 2,
      "type": "fill_in_blank",
      "question": "Complete: The ___ ran quickly.",
      "correct_answer": "cat",
      "explanation": "Brief explanation."
    }},
    {{
      "question_number": 3,
      "type": "true_false",
      "question": "'Word' means 'definition' in English.",
      "correct_answer": false,
      "explanation": "Brief explanation."
    }},
    {{
      "question_number": 4,
      "type": "matching",
      "question": "Match the words to their correct translations",
      "pairs": [
        {{"word": "word1", "translation": "translation1"}},
        {{"word": "word2", "translation": "translation2"}},
        {{"word": "word3", "translation": "translation3"}},
        {{"word": "word4", "translation": "translation4"}}
      ],
      "correct_answer": "All pairs are correctly matched",
      "explanation": "Brief explanation."
    }},
    {{
      "question_number": 5,
      "type": "short_answer",
      "question": "Explain the usage of 'word'.",
      "correct_answer": "Model answer here.",
      "explanation": "Brief explanation."
    }}
  ]
}}

Generate the quiz now:"""

        return prompt

    def generate_quiz_with_ai(self, flashcards: List[Dict], num_questions: int = 30) -> Dict[str, Any]:
        """Generate quiz using OpenAI API"""
        if not self.client:
            raise ValueError("OpenAI client not initialized. Check API key.")

        if not flashcards:
            raise ValueError("No flashcards provided for quiz generation")

        prompt = self._create_quiz_prompt(flashcards, num_questions)

        try:
            response = self.client.chat.completions.create(
                model=self.model,
                messages=[
                    {
                        "role": "system",
                        "content": "You are an expert language teacher who creates engaging, educational quizzes. Always respond with valid JSON."
                    },
                    {
                        "role": "user",
                        "content": prompt
                    }
                ],
                response_format={"type": "json_object"},
                temperature=0.7,
                max_tokens=4000
            )

            quiz_content = response.choices[0].message.content
            quiz_data = json.loads(quiz_content)

            quiz_data['metadata'] = {
                'generator': 'AI-Powered Quiz Generator',
                'model': self.model,
                'source_flashcards': len(flashcards),
                'tokens_used': response.usage.total_tokens if response.usage else 0
            }

            return quiz_data

        except Exception as e:
            print(f"[QuizGenerator] AI generation failed: {e}")
            raise

    def generate_simple_quiz(self, flashcards: List[Dict], num_questions: int = 5) -> Dict[str, Any]:
        """Generate a simple quiz without AI (fallback)"""
        if not flashcards:
            raise ValueError("No flashcards provided")

        questions = []
        used_cards = random.sample(flashcards, min(num_questions * 2, len(flashcards)))

        for i, card in enumerate(used_cards[:num_questions]):
            q_type = random.choice(['multiple_choice', 'fill_in_blank', 'true_false'])

            if q_type == 'multiple_choice':
                # Create wrong options from other cards
                other_cards = [c for c in flashcards if c != card]
                wrong_options = random.sample(
                    [c.get('back', 'Unknown') for c in other_cards],
                    min(3, len(other_cards))
                )
                while len(wrong_options) < 3:
                    wrong_options.append(f"Not {card.get('back', 'this')}")

                options = wrong_options + [card.get('back', '')]
                random.shuffle(options)

                questions.append({
                    "question_number": i + 1,
                    "type": "multiple_choice",
                    "question": f"What does '{card.get('front', '')}' mean?",
                    "options": options,
                    "correct_answer": card.get('back', ''),
                    "explanation": f"'{card.get('front', '')}' translates to '{card.get('back', '')}'."
                })

            elif q_type == 'fill_in_blank':
                questions.append({
                    "question_number": i + 1,
                    "type": "fill_in_blank",
                    "question": f"Translate: '{card.get('front', '')}' = _____",
                    "correct_answer": card.get('back', ''),
                    "explanation": f"The correct translation is '{card.get('back', '')}'."
                })

            elif q_type == 'true_false':
                is_true = random.choice([True, False])
                if is_true:
                    shown_answer = card.get('back', '')
                else:
                    other_cards = [c for c in flashcards if c != card]
                    if other_cards:
                        shown_answer = random.choice(other_cards).get('back', 'something else')
                    else:
                        shown_answer = f"Not {card.get('back', 'this')}"

                questions.append({
                    "question_number": i + 1,
                    "type": "true_false",
                    "question": f"'{card.get('front', '')}' means '{shown_answer}'.",
                    "correct_answer": is_true,
                    "explanation": f"'{card.get('front', '')}' actually means '{card.get('back', '')}'."
                })

        return {
            "quiz_title": "Vocabulary Quiz",
            "total_questions": len(questions),
            "questions": questions,
            "metadata": {
                "generator": "Simple Quiz Generator",
                "source_flashcards": len(flashcards)
            }
        }


def create_quiz_from_deck(
    username: str,
    deck_name: str,
    num_questions: int = 5,
    use_ai: bool = True,
    api_key: Optional[str] = None
) -> Dict[str, Any]:
    """
    Create a quiz from a user's flashcard deck

    Args:
        username: User identifier
        deck_name: Name of the deck to create quiz from
        num_questions: Number of questions for the quiz session
        use_ai: Whether to use AI for quiz generation
        api_key: Optional OpenAI API key

    Returns:
        Quiz dictionary with questions
    """
    decks = list_user_decks(username)

    if deck_name not in decks:
        raise ValueError(f"Deck '{deck_name}' not found")

    deck = load_deck(decks[deck_name])
    flashcards = deck.get('cards', [])

    if not flashcards:
        raise ValueError(f"Deck '{deck_name}' has no cards")

    generator = QuizGenerator(api_key=api_key)

    try:
        if use_ai and generator.client:
            # Generate larger question bank with AI
            quiz = generator.generate_quiz_with_ai(flashcards, num_questions=30)
        else:
            # Use simple generator
            quiz = generator.generate_simple_quiz(flashcards, num_questions=num_questions)
    except Exception as e:
        print(f"[quiz_tools] AI quiz generation failed: {e}, using simple generator")
        quiz = generator.generate_simple_quiz(flashcards, num_questions=num_questions)

    # Add quiz metadata
    ts = datetime.utcnow().strftime("%Y-%m-%dT%H-%M-%SZ")
    quiz['id'] = f"quiz_{ts}"
    quiz['created_at'] = ts
    quiz['deck_name'] = deck_name
    quiz['questions_per_session'] = num_questions

    return quiz


def create_semantic_quiz_for_user(username: str, topic: str, num_questions: int = 5) -> Dict[str, Any]:
    """
    Create a semantic quiz based on a topic (for conversation practice)

    Args:
        username: User identifier
        topic: Topic for the quiz
        num_questions: Number of questions

    Returns:
        Quiz dictionary
    """
    reading_passages = [
        f"{topic.capitalize()} is important in daily life. Many people enjoy talking about it.",
        f"Here is a short story based on the topic '{topic}'.",
        f"In this short description, you will learn more about {topic}.",
    ]

    questions = []
    for i in range(num_questions):
        passage = random.choice(reading_passages)
        q_type = random.choice(["translate_phrase", "summarize", "interpret"])

        if q_type == "translate_phrase":
            questions.append({
                "question_number": i + 1,
                "type": "semantic_translate_phrase",
                "prompt": f"Translate:\n\n'{passage}'",
                "answer": "(model evaluated)",
                "explanation": f"Checks ability to translate topic '{topic}'."
            })
        elif q_type == "summarize":
            questions.append({
                "question_number": i + 1,
                "type": "semantic_summarize",
                "prompt": f"Summarize:\n\n{passage}",
                "answer": "(model evaluated)",
                "explanation": f"Checks comprehension of topic '{topic}'."
            })
        elif q_type == "interpret":
            questions.append({
                "question_number": i + 1,
                "type": "semantic_interpret",
                "prompt": f"Interpret meaning:\n\n{passage}",
                "answer": "(model evaluated)",
                "explanation": f"Checks conceptual understanding of '{topic}'."
            })

    ts = datetime.utcnow().strftime("%Y-%m-%dT%H-%M-%SZ")
    quiz_id = f"semantic_quiz_{ts}"

    return {
        "id": quiz_id,
        "created_at": ts,
        "topic": topic,
        "total_questions": len(questions),
        "questions": questions,
    }


def save_quiz(username: str, quiz: Dict[str, Any]) -> Path:
    """Save a quiz to the user's directory"""
    user_dir = get_user_dir(username)
    quizzes_dir = user_dir / "quizzes"
    quizzes_dir.mkdir(parents=True, exist_ok=True)

    quiz_id = quiz.get('id', f"quiz_{datetime.utcnow().strftime('%Y%m%d%H%M%S')}")
    quiz_path = quizzes_dir / f"{quiz_id}.json"

    with open(quiz_path, 'w', encoding='utf-8') as f:
        json.dump(quiz, f, ensure_ascii=False, indent=2)

    return quiz_path


def load_quiz(username: str, quiz_id: str) -> Dict[str, Any]:
    """Load a saved quiz"""
    user_dir = get_user_dir(username)
    quiz_path = user_dir / "quizzes" / f"{quiz_id}.json"

    if not quiz_path.exists():
        raise FileNotFoundError(f"Quiz '{quiz_id}' not found")

    with open(quiz_path, 'r', encoding='utf-8') as f:
        return json.load(f)


def list_user_quizzes(username: str) -> List[Dict[str, Any]]:
    """List all quizzes for a user"""
    user_dir = get_user_dir(username)
    quizzes_dir = user_dir / "quizzes"

    if not quizzes_dir.exists():
        return []

    quizzes = []
    for quiz_file in sorted(quizzes_dir.glob("*.json"), reverse=True):
        try:
            with open(quiz_file, 'r', encoding='utf-8') as f:
                quiz = json.load(f)
                quizzes.append({
                    'id': quiz.get('id', quiz_file.stem),
                    'title': quiz.get('quiz_title', 'Untitled Quiz'),
                    'created_at': quiz.get('created_at', ''),
                    'total_questions': quiz.get('total_questions', 0),
                    'deck_name': quiz.get('deck_name', ''),
                })
        except Exception:
            continue

    return quizzes