tg_bot_language/bot/handlers/practice.py

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 services.user_service import UserService
from services.ai_service import ai_service
from utils.i18n import t, get_user_lang
from utils.levels import get_user_level_for_language

router = Router()


class PracticeStates(StatesGroup):
    """Состояния для диалоговой практики"""
    choosing_scenario = State()
    entering_custom_scenario = State()
    in_conversation = State()


# Доступные сценарии (ключи для i18n)
SCENARIO_KEYS = ["restaurant", "shopping", "travel", "work", "doctor", "casual"]


def get_scenario_name(lang: str, scenario: str) -> str:
    """Получить локализованное название сценария"""
    return t(lang, f'practice.scenario.{scenario}')


@router.message(Command("practice"))
async def cmd_practice(message: Message, state: FSMContext):
    """Обработчик команды /practice"""
    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

        lang = get_user_lang(user)

        # Показываем выбор сценария
        keyboard = []
        for scenario_id in SCENARIO_KEYS:
            keyboard.append([
                InlineKeyboardButton(
                    text=get_scenario_name(lang, scenario_id),
                    callback_data=f"scenario_{scenario_id}"
                )
            ])
        # Кнопка для своего сценария
        keyboard.append([
            InlineKeyboardButton(
                text=t(lang, 'practice.custom_scenario_btn'),
                callback_data="scenario_custom"
            )
        ])

        reply_markup = InlineKeyboardMarkup(inline_keyboard=keyboard)

        await state.update_data(user_id=user.id, level=get_user_level_for_language(user))
        await state.set_state(PracticeStates.choosing_scenario)

        await message.answer(t(lang, 'practice.start_text'), reply_markup=reply_markup)


@router.callback_query(F.data == "scenario_custom", PracticeStates.choosing_scenario)
async def request_custom_scenario(callback: CallbackQuery, state: FSMContext):
    """Запросить ввод своего сценария"""
    await callback.answer()
    async with async_session_maker() as session:
        user = await UserService.get_user_by_telegram_id(session, callback.from_user.id)
    lang = get_user_lang(user)

    await callback.message.edit_text(
        t(lang, 'practice.custom_scenario_prompt'),
        reply_markup=InlineKeyboardMarkup(inline_keyboard=[
            [InlineKeyboardButton(text=t(lang, 'settings.back'), callback_data="back_to_scenarios")]
        ])
    )
    await state.set_state(PracticeStates.entering_custom_scenario)


@router.callback_query(F.data == "back_to_scenarios", PracticeStates.entering_custom_scenario)
async def back_to_scenarios(callback: CallbackQuery, state: FSMContext):
    """Вернуться к выбору сценариев"""
    await callback.answer()
    async with async_session_maker() as session:
        user = await UserService.get_user_by_telegram_id(session, callback.from_user.id)
    lang = get_user_lang(user)

    keyboard = []
    for scenario_id in SCENARIO_KEYS:
        keyboard.append([
            InlineKeyboardButton(
                text=get_scenario_name(lang, scenario_id),
                callback_data=f"scenario_{scenario_id}"
            )
        ])
    keyboard.append([
        InlineKeyboardButton(
            text=t(lang, 'practice.custom_scenario_btn'),
            callback_data="scenario_custom"
        )
    ])

    await callback.message.edit_text(
        t(lang, 'practice.start_text'),
        reply_markup=InlineKeyboardMarkup(inline_keyboard=keyboard)
    )
    await state.set_state(PracticeStates.choosing_scenario)


@router.message(PracticeStates.entering_custom_scenario)
async def handle_custom_scenario(message: Message, state: FSMContext):
    """Обработка ввода своего сценария"""
    custom_scenario = message.text.strip()

    if not custom_scenario or len(custom_scenario) < 3:
        async with async_session_maker() as session:
            user = await UserService.get_user_by_telegram_id(session, message.from_user.id)
        lang = get_user_lang(user)
        await message.answer(t(lang, 'practice.custom_scenario_too_short'))
        return

    data = await state.get_data()
    level = data.get('level', 'B1')

    async with async_session_maker() as session:
        user = await UserService.get_user_by_telegram_id(session, message.from_user.id)
    ui_lang = get_user_lang(user)
    learn_lang = (user.learning_language if user else 'en') or 'en'

    # Показываем индикатор
    thinking_msg = await message.answer(t(ui_lang, 'practice.thinking_prepare'))

    # Начинаем диалог с кастомным сценарием
    conversation_start = await ai_service.start_conversation(
        custom_scenario,  # Передаём описание сценария напрямую
        level,
        learning_lang=learn_lang,
        translation_lang=ui_lang
    )

    await thinking_msg.delete()

    # Сохраняем данные в состоянии
    await state.update_data(
        scenario=custom_scenario,
        scenario_name=custom_scenario,
        conversation_history=[],
        message_count=0
    )
    await state.set_state(PracticeStates.in_conversation)

    # Формируем сообщение
    ai_msg = conversation_start.get('message', '')
    if learn_lang.lower() == 'ja':
        annotated = conversation_start.get('message_annotated')
        if annotated:
            ai_msg = annotated
        else:
            fg = conversation_start.get('furigana')
            if fg:
                ai_msg = f"{ai_msg} ({fg})"

    text = (
        f"<b>🎭 {custom_scenario}</b>\n\n"
        f"📝 <i>{conversation_start.get('context', '')}</i>\n\n"
        f"<b>AI:</b> {ai_msg}\n\n"
        f"{t(ui_lang, 'practice.hints')}\n"
    )

    for suggestion in conversation_start.get('suggestions', []):
        if isinstance(suggestion, dict):
            if learn_lang.lower() == 'ja':
                learn_text = suggestion.get('learn_annotated') or suggestion.get('learn') or ''
            else:
                learn_text = suggestion.get('learn') or ''
            trans_text = suggestion.get('trans') or ''
        else:
            learn_text = str(suggestion)
            trans_text = ''
        if trans_text:
            text += f"<span class=\"tg-spoiler\">• {learn_text}</span> ({trans_text})\n"
        else:
            text += f"<span class=\"tg-spoiler\">• {learn_text}</span>\n"

    text += t(ui_lang, 'practice.write_or_stop')

    # Сохраняем перевод
    translations = {0: conversation_start.get('translation', '')}
    await state.update_data(translations=translations)

    keyboard = InlineKeyboardMarkup(inline_keyboard=[
        [InlineKeyboardButton(text=t(ui_lang, 'practice.show_translation_btn'), callback_data="show_tr_0")],
        [InlineKeyboardButton(text=t(ui_lang, 'practice.stop_btn'), callback_data="stop_practice")]
    ])

    await message.answer(text, reply_markup=keyboard)


@router.callback_query(F.data.startswith("scenario_"), PracticeStates.choosing_scenario)
async def start_scenario(callback: CallbackQuery, state: FSMContext):
    """Начать диалог с выбранным сценарием"""
    # Отвечаем сразу на callback, дальнейшие операции могут занять время
    await callback.answer()
    scenario = callback.data.split("_")[1]
    data = await state.get_data()
    level = data.get('level', 'B1')
    # Определяем языки пользователя
    async with async_session_maker() as session:
        user = await UserService.get_user_by_telegram_id(session, callback.from_user.id)
    ui_lang = get_user_lang(user)
    learn_lang = (user.learning_language if user else 'en') or 'en'

    # Удаляем клавиатуру
    await callback.message.edit_reply_markup(reply_markup=None)

    # Показываем индикатор
    thinking_msg = await callback.message.answer(t(ui_lang, 'practice.thinking_prepare'))

    # Начинаем диалог
    conversation_start = await ai_service.start_conversation(
        scenario,
        level,
        learning_lang=learn_lang,
        translation_lang=ui_lang
    )

    await thinking_msg.delete()

    # Сохраняем данные в состоянии
    await state.update_data(
        scenario=scenario,
        scenario_name=scenario,
        conversation_history=[],
        message_count=0
    )
    await state.set_state(PracticeStates.in_conversation)

    # Формируем сообщение (перевод скрыт, доступен по кнопке)
    ai_msg = conversation_start.get('message', '')
    if learn_lang.lower() == 'ja':
        annotated = conversation_start.get('message_annotated')
        if annotated:
            ai_msg = annotated
        else:
            # Фолбэк к старому формату с общим furigana
            fg = conversation_start.get('furigana')
            if fg:
                ai_msg = f"{ai_msg} ({fg})"

    text = (
        f"<b>{get_scenario_name(ui_lang, scenario)}</b>\n\n"
        f"📝 <i>{conversation_start.get('context', '')}</i>\n\n"
        f"<b>AI:</b> {ai_msg}\n\n"
        f"{t(ui_lang, 'practice.hints')}\n"
    )

    for suggestion in conversation_start.get('suggestions', []):
        if isinstance(suggestion, dict):
            # Для японского стараемся брать learn_annotated
            if learn_lang.lower() == 'ja':
                learn_text = suggestion.get('learn_annotated') or suggestion.get('learn') or ''
            else:
                learn_text = suggestion.get('learn') or ''
            trans_text = suggestion.get('trans') or ''
        else:
            learn_text = str(suggestion)
            trans_text = ''
        # В спойлере — язык изучения, в скобках — перевод на язык интерфейса
        if trans_text:
            text += f"<span class=\"tg-spoiler\">• {learn_text}</span> ({trans_text})\n"
        else:
            text += f"<span class=\"tg-spoiler\">• {learn_text}</span>\n"

    text += t(ui_lang, 'practice.write_or_stop')

    # Сохраняем перевод под индексом 0
    translations = {0: conversation_start.get('translation', '')}
    await state.update_data(translations=translations)

    # Кнопки управления
    keyboard = InlineKeyboardMarkup(inline_keyboard=[
        [InlineKeyboardButton(text=t(ui_lang, 'practice.show_translation_btn'), callback_data="show_tr_0")],
        [InlineKeyboardButton(text=t(ui_lang, 'practice.stop_btn'), callback_data="stop_practice")]
    ])

    await callback.message.answer(text, reply_markup=keyboard)


def get_end_keyboard(lang: str) -> InlineKeyboardMarkup:
    """Клавиатура после завершения диалога"""
    return InlineKeyboardMarkup(inline_keyboard=[
        [InlineKeyboardButton(text=t(lang, 'practice.new_practice_btn'), callback_data="new_practice")],
        [
            InlineKeyboardButton(text=t(lang, 'practice.to_tasks_btn'), callback_data="go_tasks"),
            InlineKeyboardButton(text=t(lang, 'practice.to_words_btn'), callback_data="go_words")
        ]
    ])


@router.message(Command("stop"), PracticeStates.in_conversation)
async def stop_practice(message: Message, state: FSMContext):
    """Завершить диалоговую практику"""
    data = await state.get_data()
    message_count = data.get('message_count', 0)

    await state.clear()
    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'
    end_text = (
        t(lang, 'practice.end_title') + "\n\n" +
        t(lang, 'practice.end_exchanged', n=message_count) + "\n\n" +
        t(lang, 'practice.end_keep')
    )
    await message.answer(end_text, reply_markup=get_end_keyboard(lang))


@router.callback_query(F.data == "stop_practice", PracticeStates.in_conversation)
async def stop_practice_callback(callback: CallbackQuery, state: FSMContext):
    """Завершить диалог через кнопку"""
    data = await state.get_data()
    message_count = data.get('message_count', 0)

    await callback.message.delete()
    await state.clear()

    async with async_session_maker() as session:
        user = await UserService.get_user_by_telegram_id(session, callback.from_user.id)
    lang = (user.language_interface if user else 'ru') or 'ru'
    end_text = (
        t(lang, 'practice.end_title') + "\n\n" +
        t(lang, 'practice.end_exchanged', n=message_count) + "\n\n" +
        t(lang, 'practice.end_keep')
    )
    await callback.message.answer(end_text, reply_markup=get_end_keyboard(lang))
    await callback.answer()


@router.callback_query(F.data == "new_practice")
async def new_practice_callback(callback: CallbackQuery, state: FSMContext):
    """Начать новую практику"""
    await callback.answer()

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

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

    lang = get_user_lang(user)

    # Показываем выбор сценария
    keyboard = []
    for scenario_id in SCENARIO_KEYS:
        keyboard.append([
            InlineKeyboardButton(
                text=get_scenario_name(lang, scenario_id),
                callback_data=f"scenario_{scenario_id}"
            )
        ])
    keyboard.append([
        InlineKeyboardButton(
            text=t(lang, 'practice.custom_scenario_btn'),
            callback_data="scenario_custom"
        )
    ])

    reply_markup = InlineKeyboardMarkup(inline_keyboard=keyboard)

    await state.update_data(user_id=user.id, level=get_user_level_for_language(user))
    await state.set_state(PracticeStates.choosing_scenario)

    await callback.message.edit_text(t(lang, 'practice.start_text'), reply_markup=reply_markup)


@router.callback_query(F.data == "go_tasks")
async def go_tasks_callback(callback: CallbackQuery):
    """Перейти к заданиям"""
    await callback.message.delete()
    await callback.answer()
    async with async_session_maker() as session:
        user = await UserService.get_user_by_telegram_id(session, callback.from_user.id)
    lang = (user.language_interface if user else 'ru') or 'ru'
    await callback.message.answer(t(lang, 'practice.go_tasks_hint'))


@router.callback_query(F.data == "go_words")
async def go_words_callback(callback: CallbackQuery):
    """Перейти к словам"""
    await callback.message.delete()
    await callback.answer()
    async with async_session_maker() as session:
        user = await UserService.get_user_by_telegram_id(session, callback.from_user.id)
    lang = (user.language_interface if user else 'ru') or 'ru'
    await callback.message.answer(t(lang, 'practice.go_words_hint'))


@router.message(PracticeStates.in_conversation)
async def handle_conversation(message: Message, state: FSMContext):
    """Обработка сообщений в диалоге"""
    user_message = message.text.strip()

    if not user_message:
        async with async_session_maker() as session:
            user = await UserService.get_user_by_telegram_id(session, message.from_user.id)
        await message.answer(t((user.language_interface if user else 'ru') or 'ru', 'practice.empty_prompt'))
        return

    data = await state.get_data()
    conversation_history = data.get('conversation_history', [])
    scenario = data.get('scenario', 'casual')
    level = data.get('level', 'B1')
    message_count = data.get('message_count', 0)

    # Определяем языки пользователя для ответа (до показа индикатора)
    async with async_session_maker() as session:
        user2 = await UserService.get_user_by_telegram_id(session, message.from_user.id)
    ui_lang2 = (user2.language_interface if user2 else 'ru') or 'ru'
    learn_lang2 = (user2.learning_language if user2 else 'en') or 'en'

    # Показываем индикатор
    thinking_msg = await message.answer(t(ui_lang2, 'practice.thinking'))

    # Добавляем сообщение пользователя в историю
    conversation_history.append({
        "role": "user",
        "content": user_message
    })

    # Получаем ответ от AI
    ai_response = await ai_service.continue_conversation(
        conversation_history=conversation_history,
        user_message=user_message,
        scenario=scenario,
        level=level,
        learning_lang=learn_lang2,
        translation_lang=ui_lang2
    )

    await thinking_msg.delete()

    # Добавляем ответ AI в историю
    conversation_history.append({
        "role": "assistant",
        "content": ai_response.get('response', '')
    })

    # Обновляем состояние
    message_count += 1
    await state.update_data(
        conversation_history=conversation_history,
        message_count=message_count
    )

    # Формируем ответ (перевод скрыт, доступен по кнопке)
    # Язык пользователя для текста
    text = ""

    # Показываем feedback, если есть ошибки
    feedback = ai_response.get('feedback', {})
    if feedback.get('has_errors') and feedback.get('corrections'):
        text += f"⚠️ {t(ui_lang2, 'practice.corrections')}\n{feedback['corrections']}\n\n"

    if feedback.get('comment'):
        text += f"💬 {feedback['comment']}\n\n"

    # Ответ AI (с фуриганой для японского)
    resp = ai_response.get('response', '')
    if learn_lang2.lower() == 'ja':
        annotated = ai_response.get('response_annotated')
        if annotated:
            resp = annotated
        else:
            fg = ai_response.get('furigana')
            if fg:
                resp = f"{resp} ({fg})"
    text += f"<b>AI:</b> {resp}\n\n"

    # Подсказки
    suggestions = ai_response.get('suggestions', [])
    if suggestions:
        text += t(ui_lang2, 'practice.hints') + "\n"
        for suggestion in suggestions[:3]:
            if isinstance(suggestion, dict):
                if learn_lang2.lower() == 'ja':
                    learn_text = suggestion.get('learn_annotated') or suggestion.get('learn') or ''
                else:
                    learn_text = suggestion.get('learn') or ''
                trans_text = suggestion.get('trans') or ''
            else:
                learn_text = str(suggestion)
                trans_text = ''
            if trans_text:
                text += f"<span class=\"tg-spoiler\">• {learn_text}</span> ({trans_text})\n"
            else:
                text += f"<span class=\"tg-spoiler\">• {learn_text}</span>\n"

    # Сохраняем перевод под новым индексом
    translations = data.get('translations', {}) or {}
    this_idx = message_count  # после инкремента это текущий номер сообщения AI
    translations[this_idx] = ai_response.get('translation', '')
    await state.update_data(translations=translations)

    # Кнопки
    keyboard = InlineKeyboardMarkup(inline_keyboard=[
        [InlineKeyboardButton(text=t(ui_lang2, 'practice.show_translation_btn'), callback_data=f"show_tr_{this_idx}")],
        [InlineKeyboardButton(text=t(ui_lang2, 'practice.stop_btn'), callback_data="stop_practice")]
    ])

    await message.answer(text, reply_markup=keyboard)


@router.callback_query(F.data.startswith("show_tr_"), PracticeStates.in_conversation)
async def show_translation(callback: CallbackQuery, state: FSMContext):
    """Показать перевод для конкретного сообщения AI"""
    # Определяем язык интерфейса пользователя
    async with async_session_maker() as session:
        user = await UserService.get_user_by_telegram_id(session, callback.from_user.id)
    lang = (user.language_interface if user else 'ru') or 'ru'
    try:
        idx = int(callback.data.split("_")[-1])
    except Exception:
        await callback.answer(t(lang, 'practice.translation_unavailable'), show_alert=True)
        return

    data = await state.get_data()
    translations = data.get('translations', {}) or {}
    tr_text = translations.get(idx)
    if not tr_text:
        await callback.answer(t(lang, 'practice.translation_unavailable'), show_alert=True)
        return

    # Вставляем перевод в существующее сообщение
    orig = callback.message.text or ""
    # Определяем язык (уже вычислен выше)
    marker = t(lang, 'common.translation') + ":"
    if marker in orig:
        await callback.answer(t(lang, 'practice.translation_already'))
        return

    new_text = f"{orig}\n{marker} <i>{tr_text}</i>"
    try:
        await callback.message.edit_text(new_text, reply_markup=callback.message.reply_markup)
    except Exception:
        # Если не удалось отредактировать (например, старое сообщение), отправим отдельным сообщением как запасной вариант
        await callback.message.answer(f"{marker} <i>{tr_text}</i>")
    await callback.answer()