mamonov.ep
99deaafcbf
- Add separate level systems: CEFR (A1-C2) for European languages, JLPT (N5-N1) for Japanese - Store levels per language in new `levels_by_language` JSON field - Add custom scenario option in AI practice mode - Show action buttons after practice ends (new dialogue, tasks, words) - Fix level display across all handlers to use correct level system - Add Alembic migration for levels_by_language field - Update all locale files (ru, en, ja) with new keys 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
315 lines
12 KiB
Python
315 lines
12 KiB
Python
from aiogram import Router, F
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from aiogram.filters import Command
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from aiogram.types import Message, InlineKeyboardMarkup, InlineKeyboardButton, CallbackQuery
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from aiogram.fsm.context import FSMContext
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from aiogram.fsm.state import State, StatesGroup
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from database.db import async_session_maker
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from services.user_service import UserService
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from services.ai_service import ai_service
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from utils.i18n import t, get_user_lang
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from utils.levels import get_level_system, get_available_levels, CEFR_LEVELS, JLPT_LEVELS
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router = Router()
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class LevelTestStates(StatesGroup):
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"""Состояния для прохождения теста уровня"""
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taking_test = State()
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@router.message(Command("level_test"))
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async def cmd_level_test(message: Message, state: FSMContext):
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"""Обработчик команды /level_test"""
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await start_level_test(message, state)
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async def start_level_test(message: Message, state: FSMContext):
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"""Начать тест определения уровня"""
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# Показываем описание теста
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async with async_session_maker() as session:
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user = await UserService.get_user_by_telegram_id(session, message.from_user.id)
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lang = (user.language_interface if user else 'ru') or 'ru'
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await message.answer(t(lang, 'level_test.intro'))
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keyboard = InlineKeyboardMarkup(inline_keyboard=[
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[InlineKeyboardButton(text=t(lang, 'level_test.start_btn'), callback_data="start_test")],
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[InlineKeyboardButton(text=t(lang, 'level_test.cancel_btn'), callback_data="cancel_test")]
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])
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await message.answer(t(lang, 'level_test.press_button'), reply_markup=keyboard)
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@router.callback_query(F.data == "cancel_test")
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async def cancel_test(callback: CallbackQuery, state: FSMContext):
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"""Отменить тест"""
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await state.clear()
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await callback.message.delete()
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async with async_session_maker() as session:
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user = await UserService.get_user_by_telegram_id(session, callback.from_user.id)
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lang = (user.language_interface if user else 'ru') or 'ru'
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await callback.message.answer(t(lang, 'level_test.cancelled'))
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await callback.answer()
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@router.callback_query(F.data == "start_test")
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async def begin_test(callback: CallbackQuery, state: FSMContext):
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"""Начать прохождение теста"""
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# Сразу отвечаем на callback, чтобы избежать истечения таймаута
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await callback.answer()
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await callback.message.delete()
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async with async_session_maker() as session:
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user = await UserService.get_user_by_telegram_id(session, callback.from_user.id)
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lang = get_user_lang(user)
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learning_lang = getattr(user, 'learning_language', 'en') or 'en'
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# Показываем индикатор загрузки
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loading_msg = await callback.message.answer(t(lang, 'level_test_extra.generating'))
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# Генерируем тест через AI с учётом языка изучения
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questions = await ai_service.generate_level_test(learning_lang)
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await loading_msg.delete()
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if not questions:
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await callback.message.answer(t(lang, 'level_test_extra.generate_failed'))
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await state.clear()
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return
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# Сохраняем данные в состоянии (включая язык для определения системы уровней)
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await state.update_data(
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questions=questions,
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current_question=0,
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correct_answers=0,
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answers=[], # Для отслеживания ответов по уровням
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learning_language=learning_lang
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)
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await state.set_state(LevelTestStates.taking_test)
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# Показываем первый вопрос
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await show_question(callback.message, state)
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async def show_question(message: Message, state: FSMContext):
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"""Показать текущий вопрос"""
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data = await state.get_data()
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questions = data.get('questions', [])
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current_idx = data.get('current_question', 0)
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if current_idx >= len(questions):
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# Тест завершён
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await finish_test(message, state)
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return
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question = questions[current_idx]
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# Формируем текст вопроса
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# Язык интерфейса
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async with async_session_maker() as session:
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user = await UserService.get_user_by_telegram_id(session, message.from_user.id)
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lang = (user.language_interface if user else 'ru') or 'ru'
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text = (
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t(lang, 'level_test.q_header', i=current_idx + 1, n=len(questions)) + "\n\n" +
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f"<b>{question['question']}</b>\n"
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)
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# Создаем кнопки с вариантами ответа
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keyboard = []
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letters = ['A', 'B', 'C', 'D']
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for idx, option in enumerate(question['options']):
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keyboard.append([
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InlineKeyboardButton(
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text=f"{letters[idx]}) {option}",
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callback_data=f"answer_{idx}"
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)
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])
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# Кнопка для показа перевода вопроса (локализованная)
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async with async_session_maker() as session:
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user = await UserService.get_user_by_telegram_id(session, message.chat.id)
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from utils.i18n import t
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lang = (user.language_interface if user else 'ru') or 'ru'
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keyboard.append([
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InlineKeyboardButton(text=t(lang, 'level_test.show_translation_btn'), callback_data=f"show_qtr_{current_idx}")
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])
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reply_markup = InlineKeyboardMarkup(inline_keyboard=keyboard)
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await message.answer(text, reply_markup=reply_markup)
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@router.callback_query(F.data.startswith("show_qtr_"), LevelTestStates.taking_test)
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async def show_question_translation(callback: CallbackQuery, state: FSMContext):
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"""Показать перевод текущего вопроса"""
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async with async_session_maker() as session:
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user = await UserService.get_user_by_telegram_id(session, callback.from_user.id)
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lang = get_user_lang(user)
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try:
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idx = int(callback.data.split("_")[-1])
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except Exception:
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await callback.answer(t(lang, 'level_test_extra.translation_unavailable'), show_alert=True)
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return
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data = await state.get_data()
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questions = data.get('questions', [])
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if not (0 <= idx < len(questions)):
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await callback.answer(t(lang, 'level_test_extra.translation_unavailable'), show_alert=True)
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return
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ru = questions[idx].get('question_ru') or t(lang, 'level_test_extra.translation_unavailable')
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# Вставляем перевод в текущий текст сообщения
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orig = callback.message.text or ""
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marker = t(lang, 'level_test_extra.translation_marker')
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if marker in orig:
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await callback.answer(t(lang, 'level_test_extra.translation_already'))
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return
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new_text = f"{orig}\n{marker} <i>{ru}</i>"
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try:
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await callback.message.edit_text(new_text, reply_markup=callback.message.reply_markup)
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except Exception:
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await callback.message.answer(f"{marker} <i>{ru}</i>")
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await callback.answer()
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@router.callback_query(F.data.startswith("answer_"), LevelTestStates.taking_test)
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async def process_answer(callback: CallbackQuery, state: FSMContext):
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"""Обработать ответ на вопрос"""
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async with async_session_maker() as session:
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user = await UserService.get_user_by_telegram_id(session, callback.from_user.id)
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lang = get_user_lang(user)
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answer_idx = int(callback.data.split("_")[1])
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data = await state.get_data()
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questions = data.get('questions', [])
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current_idx = data.get('current_question', 0)
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correct_answers = data.get('correct_answers', 0)
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answers = data.get('answers', [])
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question = questions[current_idx]
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is_correct = (answer_idx == question['correct'])
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# Сохраняем результат
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if is_correct:
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correct_answers += 1
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# Сохраняем ответ с уровнем вопроса
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answers.append({
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'level': question['level'],
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'correct': is_correct
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})
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# Показываем результат
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if is_correct:
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result_text = t(lang, 'level_test_extra.correct')
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else:
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correct_option = question['options'][question['correct']]
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result_text = t(lang, 'level_test_extra.incorrect') + "\n" + t(lang, 'level_test_extra.correct_answer', answer=correct_option)
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await callback.message.edit_text(
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t(lang, 'level_test.q_header', i=current_idx + 1, n=len(questions)) + "\n\n" +
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result_text
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)
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# Переходим к следующему вопросу
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await state.update_data(
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current_question=current_idx + 1,
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correct_answers=correct_answers,
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answers=answers
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)
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# Небольшая пауза перед следующим вопросом
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import asyncio
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await asyncio.sleep(1.5)
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await show_question(callback.message, state)
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await callback.answer()
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async def finish_test(message: Message, state: FSMContext):
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"""Завершить тест и определить уровень"""
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data = await state.get_data()
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questions = data.get('questions', [])
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correct_answers = data.get('correct_answers', 0)
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answers = data.get('answers', [])
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learning_lang = data.get('learning_language', 'en')
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total = len(questions)
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accuracy = int((correct_answers / total) * 100) if total > 0 else 0
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# Определяем уровень на основе правильных ответов по уровням
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level = determine_level(answers, learning_lang)
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# Сохраняем уровень в базе данных
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async with async_session_maker() as session:
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user = await UserService.get_user_by_telegram_id(session, message.chat.id)
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if user:
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await UserService.update_user_level(session, user.id, level, learning_lang)
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lang = get_user_lang(user)
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level_desc = t(lang, f'level_test_extra.level_desc.{level}')
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await state.clear()
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result_text = (
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t(lang, 'level_test_extra.result_title') +
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t(lang, 'level_test_extra.results_header') +
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t(lang, 'level_test_extra.correct_count', correct=correct_answers, total=total) +
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t(lang, 'level_test_extra.accuracy', accuracy=accuracy) +
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t(lang, 'level_test_extra.your_level', level=level) +
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f"<i>{level_desc}</i>\n\n" +
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t(lang, 'level_test_extra.level_set_hint')
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)
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await message.answer(result_text)
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def determine_level(answers: list, learning_language: str = "en") -> str:
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"""
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Определить уровень на основе ответов
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Args:
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answers: Список ответов с уровнями
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learning_language: Язык изучения для выбора системы уровней
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Returns:
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Определённый уровень (строка: A1-C2 или N5-N1)
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"""
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# Выбираем систему уровней
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level_system = get_level_system(learning_language)
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if level_system == "jlpt":
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levels_order = JLPT_LEVELS # ["N5", "N4", "N3", "N2", "N1"]
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default_level = "N5"
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else:
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levels_order = CEFR_LEVELS # ["A1", "A2", "B1", "B2", "C1", "C2"]
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default_level = "A1"
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# Подсчитываем правильные ответы по уровням
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level_stats = {level: {'correct': 0, 'total': 0} for level in levels_order}
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for answer in answers:
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level = answer['level']
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if level in level_stats:
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level_stats[level]['total'] += 1
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if answer['correct']:
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level_stats[level]['correct'] += 1
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# Определяем уровень: ищем последний уровень, где правильно >= 50%
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determined_level = default_level
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for level in levels_order:
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if level_stats[level]['total'] > 0:
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accuracy = level_stats[level]['correct'] / level_stats[level]['total']
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if accuracy >= 0.5: # 50% и выше
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determined_level = level
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else:
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# Если не прошёл этот уровень, останавливаемся
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break
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return determined_level
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