181 lines
8.3 KiB
Python
181 lines
8.3 KiB
Python
import base64
|
||
from dataclasses import dataclass
|
||
from typing import List, Tuple, Any, Optional
|
||
|
||
from openrouter import OpenRouter, RetryConfig
|
||
from openrouter.utils import BackoffStrategy
|
||
|
||
from database import BasicDatabase
|
||
|
||
GROUP_CHAT_SYSTEM_PROMPT = """
|
||
Ты - ИИ-помощник в групповом чате.\n
|
||
Отвечай на вопросы и поддерживай контекст беседы.\n
|
||
Ты не можешь обсуждать политику и религию.\n
|
||
Сообщения пользователей будут приходить в следующем формате: '[Имя]: текст сообщения'\n
|
||
При ответе НЕ нужно указывать ни пользователя, которому он предназначен, ни свое имя.
|
||
"""
|
||
GROUP_CHAT_MAX_MESSAGES = 20
|
||
|
||
PRIVATE_CHAT_SYSTEM_PROMPT = """
|
||
Ты - ИИ-помощник в чате c пользователем.\n
|
||
Отвечай на вопросы и поддерживай контекст беседы.
|
||
"""
|
||
PRIVATE_CHAT_MAX_MESSAGES = 40
|
||
|
||
OPENROUTER_HEADERS = {
|
||
'HTTP-Referer': 'https://ultracoder.org',
|
||
'X-Title': 'TG/VK Chat Bot'
|
||
}
|
||
|
||
|
||
@dataclass()
|
||
class Message:
|
||
user_name: str = None
|
||
text: str = None
|
||
image: bytes = None
|
||
message_id: int = None
|
||
|
||
|
||
def _serialize_message(role: str, text: Optional[str], image: Optional[bytes]) -> dict:
|
||
json = {"role": role, "content": []}
|
||
if text is not None:
|
||
json["content"].append({"type": "text", "text": text})
|
||
if image is not None:
|
||
encoded_image = base64.b64encode(image).decode('utf-8')
|
||
image_url = f"data:image/jpeg;base64,{encoded_image}"
|
||
json["content"].append({"type": "image_url", "image_url": {"url": image_url}})
|
||
return json
|
||
|
||
|
||
class AiAgent:
|
||
def __init__(self, api_token: str, model: str, db: BasicDatabase, platform: str):
|
||
retry_config = RetryConfig(strategy="backoff",
|
||
backoff=BackoffStrategy(
|
||
initial_interval=2000, max_interval=8000, exponent=2, max_elapsed_time=14000),
|
||
retry_connection_errors=True)
|
||
self.db = db
|
||
self.model = model
|
||
self.platform = platform
|
||
self.client = OpenRouter(api_key=api_token, retry_config=retry_config)
|
||
|
||
async def get_group_chat_reply(self, bot_id: int, chat_id: int,
|
||
message: Message, forwarded_messages: List[Message]) -> Tuple[str, bool]:
|
||
context = self._get_chat_context(is_group_chat=True, bot_id=bot_id, chat_id=chat_id)
|
||
|
||
if message.text is not None:
|
||
message.text = f"[{message.user_name}]: {message.text}"
|
||
else:
|
||
message.text = f"[{message.user_name}]:"
|
||
context.append(_serialize_message(role="user", text=message.text, image=message.image))
|
||
|
||
for fwd_message in forwarded_messages:
|
||
message_text = '<Цитируемое сообщение от {}>'.format(fwd_message.user_name)
|
||
if fwd_message.text is not None:
|
||
message_text += '\n' + fwd_message.text
|
||
fwd_message.text = message_text
|
||
context.append(_serialize_message(role="user", text=fwd_message.text, image=fwd_message.image))
|
||
|
||
try:
|
||
# Get response from OpenRouter
|
||
response = await self.client.chat.send_async(
|
||
model=self.model,
|
||
messages=context,
|
||
max_tokens=500,
|
||
user=f'{self.platform}_{bot_id}_{chat_id}',
|
||
http_headers=OPENROUTER_HEADERS
|
||
)
|
||
|
||
# Extract AI response
|
||
ai_response = response.choices[0].message.content
|
||
|
||
# Add input messages and AI response to context
|
||
self.db.context_add_message(bot_id, chat_id, role="user", text=message.text, image=message.image,
|
||
message_id=message.message_id, max_messages=GROUP_CHAT_MAX_MESSAGES)
|
||
for fwd_message in forwarded_messages:
|
||
self.db.context_add_message(bot_id, chat_id, role="user", text=fwd_message.text, image=fwd_message.image,
|
||
message_id=fwd_message.message_id, max_messages=GROUP_CHAT_MAX_MESSAGES)
|
||
self.db.context_add_message(bot_id, chat_id, role="assistant", text=ai_response, image=None,
|
||
message_id=None, max_messages=GROUP_CHAT_MAX_MESSAGES)
|
||
|
||
return ai_response, True
|
||
|
||
except Exception as e:
|
||
if str(e).find("Rate limit exceeded") != -1:
|
||
return "Извините, достигнут дневной лимит запросов к ИИ (обновляется в 03:00 МСК).", False
|
||
else:
|
||
print(f"Ошибка выполнения запроса к ИИ: {e}")
|
||
return f"Извините, при обработке запроса произошла ошибка.", False
|
||
|
||
async def get_private_chat_reply(self, bot_id: int, chat_id: int, message: Message) -> Tuple[str, bool]:
|
||
context = self._get_chat_context(is_group_chat=False, bot_id=bot_id, chat_id=chat_id)
|
||
content: list[dict[str, Any]] = []
|
||
if message.text is not None:
|
||
content.append({"type": "text", "text": message.text})
|
||
if message.image is not None:
|
||
encoded_image = base64.b64encode(message.image).decode('utf-8')
|
||
image_url = f"data:image/jpeg;base64,{encoded_image}"
|
||
content.append({"type": "image_url", "image_url": {"url": image_url}})
|
||
context.append({"role": "user", "content": content})
|
||
|
||
try:
|
||
# Get response from OpenRouter
|
||
response = await self.client.chat.send_async(
|
||
model=self.model,
|
||
messages=context,
|
||
max_tokens=500,
|
||
user=f'{self.platform}_{bot_id}_{chat_id}',
|
||
http_headers=OPENROUTER_HEADERS
|
||
)
|
||
|
||
# Extract AI response
|
||
ai_response = response.choices[0].message.content
|
||
|
||
# Add message and AI response to context
|
||
self.db.context_add_message(bot_id, chat_id, role="user", text=message.text, image=message.image,
|
||
message_id=message.message_id, max_messages=PRIVATE_CHAT_MAX_MESSAGES)
|
||
self.db.context_add_message(bot_id, chat_id, role="assistant", text=ai_response, image=None,
|
||
message_id=None, max_messages=PRIVATE_CHAT_MAX_MESSAGES)
|
||
|
||
return ai_response, True
|
||
|
||
except Exception as e:
|
||
if str(e).find("Rate limit exceeded") != -1:
|
||
return "Извините, достигнут дневной лимит запросов к ИИ (обновляется в 03:00 МСК).", False
|
||
else:
|
||
print(f"Ошибка выполнения запроса к ИИ: {e}")
|
||
return f"Извините, при обработке запроса произошла ошибка.", False
|
||
|
||
def get_last_assistant_message_id(self, bot_id: int, chat_id: int):
|
||
return self.db.context_get_last_assistant_message_id(bot_id, chat_id)
|
||
|
||
def set_last_response_id(self, bot_id: int, chat_id: int, message_id: int):
|
||
self.db.context_set_last_message_id(bot_id, chat_id, message_id)
|
||
|
||
def clear_chat_context(self, bot_id: int, chat_id: int):
|
||
self.db.context_clear(bot_id, chat_id)
|
||
|
||
def _get_chat_context(self, is_group_chat: bool, bot_id: int, chat_id: int) -> list[dict]:
|
||
prompt = GROUP_CHAT_SYSTEM_PROMPT if is_group_chat else PRIVATE_CHAT_SYSTEM_PROMPT
|
||
|
||
bot = self.db.get_bot(bot_id)
|
||
if bot['ai_prompt'] is not None:
|
||
prompt += '\n\n' + bot['ai_prompt']
|
||
|
||
chat = self.db.create_chat_if_not_exists(bot_id, chat_id)
|
||
if chat['ai_prompt'] is not None:
|
||
prompt += '\n\n' + chat['ai_prompt']
|
||
|
||
messages = self.db.context_get_messages(bot_id, chat_id)
|
||
|
||
context = [{"role": "system", "content": prompt}]
|
||
for message in messages:
|
||
context.append(_serialize_message(message["role"], message["text"], message["image"]))
|
||
return context
|
||
|
||
|
||
agent: AiAgent
|
||
|
||
|
||
def create_ai_agent(api_token: str, model: str, db: BasicDatabase, platform: str):
|
||
global agent
|
||
agent = AiAgent(api_token, model, db, platform)
|