from aiogram import Router, F
from aiogram.filters import Command
from aiogram.types import Message, InlineKeyboardMarkup, InlineKeyboardButton, CallbackQuery
from aiogram.fsm.context import FSMContext
from aiogram.fsm.state import State, StatesGroup

from database.db import async_session_maker
from database.models import WordSource
from services.user_service import UserService
from services.vocabulary_service import VocabularyService
from services.ai_service import ai_service
from utils.i18n import t

router = Router()


class ImportStates(StatesGroup):
    """Состояния для импорта слов из текста"""
    waiting_for_text = State()
    viewing_words = State()


@router.message(Command("import"))
async def cmd_import(message: Message, state: FSMContext):
    """Обработчик команды /import"""
    async with async_session_maker() as session:
        user = await UserService.get_user_by_telegram_id(session, message.from_user.id)

        if not user:
            await message.answer(t('ru', 'common.start_first'))
            return

        await state.set_state(ImportStates.waiting_for_text)
        lang = user.language_interface or 'ru'
        await message.answer(
            t(lang, 'import.title') + "\n\n" +
            t(lang, 'import.desc') + "\n\n" +
            t(lang, 'import.can_send') + "\n\n" +
            t(lang, 'import.cancel_hint')
        )


@router.message(Command("cancel"), ImportStates.waiting_for_text)
async def cancel_import(message: Message, state: FSMContext):
    """Отмена импорта"""
    await state.clear()
    await message.answer("❌ Импорт отменён.")


@router.message(ImportStates.waiting_for_text)
async def process_text(message: Message, state: FSMContext):
    """Обработка текста от пользователя"""
    text = message.text.strip()

    if len(text) < 50:
        await message.answer(t('ru', 'import.too_short'))
        return

    if len(text) > 3000:
        await message.answer(t('ru', 'import.too_long'))
        return

    async with async_session_maker() as session:
        user = await UserService.get_user_by_telegram_id(session, message.from_user.id)

        # Показываем индикатор обработки
        processing_msg = await message.answer(t(user.language_interface or 'ru', 'import.processing'))

        # Извлекаем слова через AI
        words = await ai_service.extract_words_from_text(
            text=text,
            level=user.level.value,
            max_words=15,
            learning_lang=user.learning_language,
            translation_lang=user.language_interface,
        )

        await processing_msg.delete()

        if not words:
            await message.answer(t(user.language_interface or 'ru', 'import.failed'))
            await state.clear()
            return

        # Сохраняем данные в состоянии
        await state.update_data(
            words=words,
            user_id=user.id,
            original_text=text,
            level=user.level.name
        )
        await state.set_state(ImportStates.viewing_words)

        # Показываем извлечённые слова
        await show_extracted_words(message, words)


async def show_extracted_words(message: Message, words: list):
    """Показать извлечённые слова с кнопками для добавления"""

    async with async_session_maker() as session:
        user = await UserService.get_user_by_telegram_id(session, message.from_user.id)
    lang = (user.language_interface if user else 'ru') or 'ru'
    text = t(lang, 'import.found_header', n=len(words)) + "\n\n"

    for idx, word_data in enumerate(words, 1):
        text += (
            f"{idx}. <b>{word_data['word']}</b> "
            f"[{word_data.get('transcription', '')}]\n"
            f"   {word_data['translation']}\n"
        )

        if word_data.get('context'):
            # Укорачиваем контекст, если он слишком длинный
            context = word_data['context']
            if len(context) > 80:
                context = context[:77] + "..."
            text += f"   <i>«{context}»</i>\n"

        text += "\n"

    text += t(lang, 'words.choose')

    # Создаем кнопки для каждого слова (по 2 в ряд)
    keyboard = []
    for idx, word_data in enumerate(words):
        button = InlineKeyboardButton(
            text=f"➕ {word_data['word']}",
            callback_data=f"import_word_{idx}"
        )

        # Добавляем по 2 кнопки в ряд
        if len(keyboard) == 0 or len(keyboard[-1]) == 2:
            keyboard.append([button])
        else:
            keyboard[-1].append(button)

    # Кнопка "Добавить все"
    keyboard.append([
        InlineKeyboardButton(text=t(lang, 'words.add_all_btn'), callback_data="import_all_words")
    ])

    # Кнопка "Закрыть"
    keyboard.append([
        InlineKeyboardButton(text=t(lang, 'words.close_btn'), callback_data="close_import")
    ])

    reply_markup = InlineKeyboardMarkup(inline_keyboard=keyboard)
    await message.answer(text, reply_markup=reply_markup)


@router.callback_query(F.data.startswith("import_word_"), ImportStates.viewing_words)
async def import_single_word(callback: CallbackQuery, state: FSMContext):
    """Добавить одно слово из импорта"""
    # Отвечаем сразу, операция может занять время
    await callback.answer()
    word_index = int(callback.data.split("_")[2])

    data = await state.get_data()
    words = data.get('words', [])
    user_id = data.get('user_id')

    if word_index >= len(words):
        await callback.answer("❌ Ошибка: слово не найдено")
        return

    word_data = words[word_index]

    async with async_session_maker() as session:
        user = await UserService.get_user_by_telegram_id(session, callback.from_user.id)
        # Проверяем, нет ли уже такого слова
        existing = await VocabularyService.get_word_by_original(
            session, user_id, word_data['word']
        )

        if existing:
            await callback.answer(f"Слово '{word_data['word']}' уже в словаре", show_alert=True)
            return

        # Добавляем слово
        learn = user.learning_language if user else 'en'
        ui = user.language_interface if user else 'ru'
        ctx = word_data.get('context')
        examples = ([{learn: ctx, ui: ''}] if ctx else [])

        await VocabularyService.add_word(
            session=session,
            user_id=user_id,
            word_original=word_data['word'],
            word_translation=word_data['translation'],
            source_lang=user.learning_language if user else None,
            translation_lang=user.language_interface if user else None,
            transcription=word_data.get('transcription'),
            examples=examples,
            source=WordSource.CONTEXT,
            category='imported',
            difficulty_level=data.get('level')
        )

    lang = (user.language_interface if user else 'ru') or 'ru'
    await callback.message.answer(t(lang, 'import.added_single', word=word_data['word']))


@router.callback_query(F.data == "import_all_words", ImportStates.viewing_words)
async def import_all_words(callback: CallbackQuery, state: FSMContext):
    """Добавить все слова из импорта"""
    # Сразу отвечаем, так как операция может занять заметное время
    await callback.answer()
    data = await state.get_data()
    words = data.get('words', [])
    user_id = data.get('user_id')

    added_count = 0
    skipped_count = 0

    async with async_session_maker() as session:
        user = await UserService.get_user_by_telegram_id(session, callback.from_user.id)
        for word_data in words:
            # Проверяем, нет ли уже такого слова
            existing = await VocabularyService.get_word_by_original(
                session, user_id, word_data['word']
            )

            if existing:
                skipped_count += 1
                continue

            # Добавляем слово
            learn = user.learning_language if user else 'en'
            ui = user.language_interface if user else 'ru'
            ctx = word_data.get('context')
            examples = ([{learn: ctx, ui: ''}] if ctx else [])

            await VocabularyService.add_word(
                session=session,
                user_id=user_id,
                word_original=word_data['word'],
                word_translation=word_data['translation'],
                source_lang=user.learning_language if user else None,
                translation_lang=user.language_interface if user else None,
                transcription=word_data.get('transcription'),
                examples=examples,
                source=WordSource.CONTEXT,
                category='imported',
                difficulty_level=data.get('level')
            )
            added_count += 1

    lang = (user.language_interface if user else 'ru') or 'ru'
    result_text = t(lang, 'import.added_count', n=added_count)
    if skipped_count > 0:
        result_text += "\n" + t(lang, 'import.skipped_count', n=skipped_count)

    await callback.message.edit_reply_markup(reply_markup=None)
    await callback.message.answer(result_text)
    await state.clear()


@router.callback_query(F.data == "close_import", ImportStates.viewing_words)
async def close_import(callback: CallbackQuery, state: FSMContext):
    """Закрыть импорт"""
    await callback.message.delete()
    await state.clear()
    await callback.answer()