Добавлена функциональность чата с ИИ через OpenRouter.

tg/__main__.py

@@ -13,6 +13,7 @@ async def main() -> None:
     print('Конфигурация загружена.')
 
     bot = Bot(token=config['api_token'])
+    bot.config = config
 
     dp = Dispatcher()
     dp.include_router(handlers.router)

tg/handlers/default.py

@@ -1,12 +1,112 @@
+from typing import Dict, List, Optional
+
 from aiogram import Router, F
 from aiogram.types import Message
+from aiogram.types.user import User
 from aiogram.enums.content_type import ContentType
 
+from openrouter import OpenRouter
+from dataclasses import dataclass
+
 import utils
 import tg.tg_database as database
 
 router = Router()
 
+
+@dataclass
+class ChatContext:
+    def __init__(self, max_messages: int):
+        self.max_messages: int = max_messages
+        self.messages: List[Dict[str, str]] = []
+
+    def add_message(self, role: str, content: str):
+        if len(self.messages) == self.max_messages:
+            # Всегда сохраняем в контексте системное сообщение
+            self.messages.pop(1)
+        self.messages.append({"role": role, "content": content})
+
+    def get_messages_for_api(self) -> List[Dict[str, str]]:
+        return self.messages
+
+
+chat_contexts: Dict[int, ChatContext] = {}
+bot_user: Optional[User] = None
+
+system_prompt = """
+Ты - помощник в групповом чате Telegram.
+Отвечай на вопросы и поддерживай контекст беседы.
+Ты не можешь обсуждать политику и религию.
+Сообщения пользователей будут приходить в следующем формате: '[Имя]: текст сообщения'
+При ответе НЕ нужно указывать пользователя, которому он предназначен.
+"""
+
+
+def get_ai_chat_context(chat_id: int) -> ChatContext:
+    """Get or create chat context for a specific chat"""
+    if chat_id not in chat_contexts:
+        chat_contexts[chat_id] = ChatContext(10)
+        chat = database.DB.get_chat(chat_id)
+        prompt = system_prompt
+        if chat['ai_prompt'] is not None:
+            prompt += '\n\n' + chat['ai_prompt']
+        chat_contexts[chat_id].add_message(role="system", content=prompt)
+    return chat_contexts[chat_id]
+
+
+async def ai_message_handler(message: Message):
+    chat_id = message.chat.id
+
+    # Extract user information and message content
+    if message.from_user.first_name and message.from_user.last_name:
+        user_name = "{} {}".format(message.from_user.first_name, message.from_user.last_name)
+    elif message.from_user.first_name:
+        user_name = message.from_user.first_name
+    elif message.from_user.username:
+        user_name = message.from_user.username
+    else:
+        user_name = str(message.from_user.id)
+
+    bot_mention = '@' + bot_user.username
+    message_text = message.text.replace(bot_mention, bot_user.first_name)
+
+    context = get_ai_chat_context(chat_id)
+    context.add_message(
+        role="user",
+        content=f"[{user_name}]: {message_text}"
+    )
+
+    # noinspection PyUnresolvedReferences
+    api_key = message.bot.config['openrouter_token']
+
+    client = OpenRouter(api_key=api_key)
+    messages_for_api = context.get_messages_for_api()
+
+    await message.bot.send_chat_action(chat_id, 'typing')
+
+    try:
+        # Get response from OpenRouter
+        response = await client.chat.send_async(
+            model="meta-llama/llama-3.3-70b-instruct:free",
+            messages=messages_for_api,
+            max_tokens=500,
+            temperature=0.7
+        )
+
+        # Extract AI response
+        ai_response = response.choices[0].message.content
+
+        # Add AI response to context
+        context.add_message(role="assistant", content=ai_response)
+
+        # Send response back to chat
+        await message.reply(ai_response)
+
+    except Exception as e:
+        print(f"Error processing message: {e}")
+        await message.reply("Извините, при обработке запроса произошла ошибка.")
+
+
 ACCEPTED_CONTENT_TYPES: list[ContentType] = [
     ContentType.TEXT,
     ContentType.ANIMATION,
@@ -42,3 +142,11 @@ async def any_message_handler(message: Message):
     database.DB.create_user_if_not_exists(chat_id, user_id)
     database.DB.user_set_last_message(chat_id, user_id, utils.posix_time())
     database.DB.user_increment_messages(chat_id, user_id)
+
+    global bot_user
+    if bot_user is None:
+        bot_user = await message.bot.get_me()
+
+    bot_mention = '@' + bot_user.username
+    if message.content_type == ContentType.TEXT and message.text.find(bot_mention) != -1:
+        await ai_message_handler(message)

tg/tg_database.py

@@ -11,6 +11,7 @@ class TgDatabase(database.BasicDatabase):
             "active"	INTEGER NOT NULL DEFAULT 0,
             "rules"             TEXT,
             "greeting_join"	    TEXT,
+            "ai_prompt"         TEXT,
             PRIMARY KEY("id"))
         """)
 

vk/__main__.py

@@ -12,6 +12,7 @@ if __name__ == '__main__':
     print('Конфигурация загружена.')
 
     bot = VkBot(config['api_token'], labeler=handlers.labeler)
+    bot.api.config = config
     bot.loop_wrapper.on_startup.append(tasks.startup_task(bot.api))
     bot.loop_wrapper.add_task(tasks.daily_maintenance_task(bot.api))
     bot.run_forever()

vk/handlers/default.py

@@ -1,5 +1,11 @@
+from typing import Dict, List, Optional
+
 from vkbottle.bot import Message
 from vkbottle.framework.labeler import BotLabeler
+from vkbottle_types.codegen.objects import GroupsGroup
+
+from openrouter import OpenRouter
+from dataclasses import dataclass
 
 import utils
 import vk.vk_database as database
@@ -7,6 +13,96 @@ import vk.vk_database as database
 labeler = BotLabeler()
 
 
+@dataclass
+class ChatContext:
+    def __init__(self, max_messages: int):
+        self.max_messages: int = max_messages
+        self.messages: List[Dict[str, str]] = []
+
+    def add_message(self, role: str, content: str):
+        if len(self.messages) == self.max_messages:
+            # Всегда сохраняем в контексте системное сообщение
+            self.messages.pop(1)
+        self.messages.append({"role": role, "content": content})
+
+    def get_messages_for_api(self) -> List[Dict[str, str]]:
+        return self.messages
+
+
+chat_contexts: Dict[int, ChatContext] = {}
+bot_user: Optional[GroupsGroup] = None
+
+system_prompt = """
+Ты - помощник в групповом чате Telegram.
+Отвечай на вопросы и поддерживай контекст беседы.
+Ты не можешь обсуждать политику и религию.
+Сообщения пользователей будут приходить в следующем формате: '[Имя]: текст сообщения'
+При ответе НЕ нужно указывать пользователя, которому он предназначен.
+"""
+
+
+def get_ai_chat_context(chat_id: int) -> ChatContext:
+    """Get or create chat context for a specific chat"""
+    if chat_id not in chat_contexts:
+        chat_contexts[chat_id] = ChatContext(10)
+        chat = database.DB.get_chat(chat_id)
+        prompt = system_prompt
+        if chat['ai_prompt'] is not None:
+            prompt += '\n\n' + chat['ai_prompt']
+        chat_contexts[chat_id].add_message(role="system", content=prompt)
+    return chat_contexts[chat_id]
+
+
+async def ai_message_handler(message: Message):
+    chat_id = message.peer_id
+
+    # Extract user information and message content
+    user = await message.ctx_api.users.get(user_ids=[message.from_id])
+    if len(user) == 1:
+        user_name = "{} {}".format(user[0].first_name, user[0].last_name)
+    else:
+        user_name = '@id' + str(message.from_id)
+
+    bot_mention = '@' + bot_user.screen_name
+    message_text = message.text.replace(bot_mention, bot_user.name)
+
+    context = get_ai_chat_context(chat_id)
+    context.add_message(
+        role="user",
+        content=f"[{user_name}]: {message_text}"
+    )
+
+    # noinspection PyUnresolvedReferences
+    api_key = message.ctx_api.config['openrouter_token']
+
+    client = OpenRouter(api_key=api_key)
+    messages_for_api = context.get_messages_for_api()
+
+    await message.ctx_api.messages.set_activity(peer_id=chat_id, type='typing')
+
+    try:
+        # Get response from OpenRouter
+        response = await client.chat.send_async(
+            model="meta-llama/llama-3.3-70b-instruct:free",
+            messages=messages_for_api,
+            max_tokens=500,
+            temperature=0.7
+        )
+
+        # Extract AI response
+        ai_response = response.choices[0].message.content
+
+        # Add AI response to context
+        context.add_message(role="assistant", content=ai_response)
+
+        # Send response back to chat
+        await message.reply(ai_response)
+
+    except Exception as e:
+        print(f"Error processing message: {e}")
+        await message.reply("Извините, при обработке запроса произошла ошибка.")
+
+
 # Обычные сообщения (не команды и не действия)
 @labeler.chat_message()
 async def any_message_handler(message: Message):
@@ -27,3 +123,11 @@ async def any_message_handler(message: Message):
     database.DB.create_user_if_not_exists(chat_id, user_id)
     database.DB.user_set_last_message(chat_id, user_id, utils.posix_time())
     database.DB.user_increment_messages(chat_id, user_id)
+
+    global bot_user
+    if bot_user is None:
+        bot_user = (await message.ctx_api.groups.get_by_id()).groups[0]
+
+    bot_mention = '@' + bot_user.screen_name
+    if message.text is not None and message.text.find(bot_mention) != -1:
+        await ai_message_handler(message)

vk/vk_database.py

@@ -13,6 +13,7 @@ class VkDatabase(database.BasicDatabase):
             "greeting_join"	    TEXT,
             "greeting_rejoin"	TEXT,
             "birthday_message"  TEXT,
+            "ai_prompt"         TEXT,
             PRIMARY KEY("id"))
         """)