Iyeoluwa Akinrinola
310 lines
9.5 KiB
Python
310 lines
9.5 KiB
Python
"""
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Service for chat functionality.
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"""
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import os
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import json
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import uuid
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from datetime import datetime
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from typing import List, Dict, Any, Optional
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from ai_service.config import config
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from ai_service.models.model_service import model_service
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from ai_service.models.model_parameters import ModelParameters
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class ChatService:
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"""Service for chat functionality."""
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def __init__(self):
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"""Initialize the chat service."""
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# Ensure data directory exists
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os.makedirs('ai_service/data', exist_ok=True)
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# For now, we'll store chat data in a simple JSON file
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self.chats_file = 'ai_service/data/chats.json'
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self._load_chats()
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def _load_chats(self):
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"""Load chats from file."""
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if os.path.exists(self.chats_file):
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try:
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with open(self.chats_file, 'r') as f:
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self.chats = json.load(f)
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except Exception as e:
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print(f"Error loading chats: {str(e)}")
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self.chats = {}
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else:
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self.chats = {}
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def _save_chats(self):
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"""Save chats to file."""
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try:
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with open(self.chats_file, 'w') as f:
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json.dump(self.chats, f, indent=2)
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except Exception as e:
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print(f"Error saving chats: {str(e)}")
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def create_chat(self, user_id: str, title: Optional[str] = None,
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model_id: Optional[str] = None, is_team_chat: bool = False) -> str:
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"""
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Create a new chat.
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Args:
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user_id: ID of the user creating the chat.
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title: Optional title for the chat.
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model_id: Optional model ID to use for this chat.
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is_team_chat: Whether this is a team chat.
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Returns:
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ID of the created chat.
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"""
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# Generate a unique ID for the chat
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chat_id = str(uuid.uuid4())
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# Create chat data
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self.chats[chat_id] = {
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'id': chat_id,
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'title': title or f"Chat {len(self.chats) + 1}",
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'user_id': user_id,
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'model_id': model_id or config.DEFAULT_MODEL,
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'is_team_chat': is_team_chat,
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'created_at': datetime.utcnow().isoformat(),
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'updated_at': datetime.utcnow().isoformat(),
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'messages': [],
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'team_members': [user_id] if is_team_chat else []
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}
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# Save chats to file
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self._save_chats()
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return chat_id
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def add_message(self, chat_id: str, content: str, user_id: str,
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is_user_message: bool = True) -> Dict[str, Any]:
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"""
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Add a message to a chat.
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Args:
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chat_id: ID of the chat.
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content: Message content.
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user_id: ID of the user sending the message.
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is_user_message: Whether this is a user message (vs. bot message).
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Returns:
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Added message.
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"""
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if chat_id not in self.chats:
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raise ValueError(f"Chat with ID {chat_id} not found")
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# Create message data
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message = {
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'id': str(uuid.uuid4()),
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'content': content,
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'user_id': user_id if is_user_message else None,
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'is_user_message': is_user_message,
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'timestamp': datetime.utcnow().isoformat()
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}
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# Add message to chat
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self.chats[chat_id]['messages'].append(message)
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# Update chat timestamp
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self.chats[chat_id]['updated_at'] = datetime.utcnow().isoformat()
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# Save chats to file
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self._save_chats()
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return message
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def get_chat(self, chat_id: str) -> Optional[Dict[str, Any]]:
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"""
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Get a chat by ID.
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Args:
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chat_id: ID of the chat.
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Returns:
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Chat data if found, None otherwise.
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"""
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return self.chats.get(chat_id)
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def get_user_chats(self, user_id: str) -> List[Dict[str, Any]]:
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"""
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Get all chats for a user.
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Args:
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user_id: ID of the user.
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Returns:
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List of chat data.
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"""
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user_chats = []
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for chat_id, chat in self.chats.items():
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# Include private chats owned by the user
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if chat['user_id'] == user_id and not chat['is_team_chat']:
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user_chats.append(chat)
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# Include team chats where the user is a member
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elif chat['is_team_chat'] and user_id in chat['team_members']:
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user_chats.append(chat)
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# Sort by updated_at (newest first)
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user_chats.sort(key=lambda x: x['updated_at'], reverse=True)
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return user_chats
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def add_team_member(self, chat_id: str, user_id: str) -> bool:
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"""
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Add a user to a team chat.
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Args:
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chat_id: ID of the team chat.
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user_id: ID of the user to add.
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Returns:
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True if addition was successful, False otherwise.
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"""
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if chat_id not in self.chats:
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return False
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chat = self.chats[chat_id]
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if not chat['is_team_chat']:
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return False
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if user_id not in chat['team_members']:
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chat['team_members'].append(user_id)
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self._save_chats()
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return True
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def remove_team_member(self, chat_id: str, user_id: str) -> bool:
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"""
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Remove a user from a team chat.
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Args:
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chat_id: ID of the team chat.
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user_id: ID of the user to remove.
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Returns:
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True if removal was successful, False otherwise.
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"""
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if chat_id not in self.chats:
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return False
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chat = self.chats[chat_id]
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if not chat['is_team_chat']:
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return False
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if user_id in chat['team_members']:
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chat['team_members'].remove(user_id)
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self._save_chats()
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return True
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def delete_chat(self, chat_id: str) -> bool:
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"""
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Delete a chat.
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Args:
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chat_id: ID of the chat to delete.
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Returns:
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True if deletion was successful, False otherwise.
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"""
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if chat_id not in self.chats:
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return False
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del self.chats[chat_id]
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self._save_chats()
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return True
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def get_chat_response(self, chat_id: str, message: str, user_id: str,
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use_rag: bool = False, temperature: Optional[float] = None,
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max_tokens: Optional[int] = None, top_p: Optional[float] = None,
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frequency_penalty: Optional[float] = None, presence_penalty: Optional[float] = None,
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stop_sequences: Optional[List[str]] = None, system_prompt: Optional[str] = None,
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min_p: Optional[float] = None, top_k: Optional[int] = None,
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repeat_penalty: Optional[float] = None, function_calling: Optional[bool] = None) -> Dict[str, Any]:
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"""
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Get a response from the chatbot.
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Args:
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chat_id: ID of the chat.
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message: User message.
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user_id: ID of the user sending the message.
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use_rag: Whether to use RAG (Retrieval Augmented Generation).
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temperature: Controls randomness in the response.
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max_tokens: Maximum number of tokens to generate.
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top_p: Nucleus sampling parameter.
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frequency_penalty: Penalizes repeated tokens.
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presence_penalty: Penalizes repeated topics.
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stop_sequences: Sequences where the API will stop generating.
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system_prompt: System prompt to guide the model's behavior.
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min_p: Minimum probability threshold for token selection.
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top_k: Only sample from the top k tokens.
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repeat_penalty: Penalty for repeating tokens.
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function_calling: Whether to enable function calling.
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Returns:
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Bot response message.
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"""
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if chat_id not in self.chats:
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raise ValueError(f"Chat with ID {chat_id} not found")
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chat = self.chats[chat_id]
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# Add user message to chat
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self.add_message(chat_id, message, user_id, is_user_message=True)
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# Prepare conversation context for the model
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context = []
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for msg in chat['messages'][-10:]: # Use last 10 messages as context
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role = "user" if msg['is_user_message'] else "assistant"
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context.append({
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"role": role,
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"content": msg['content']
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})
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# Create model parameters
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model_params = ModelParameters(
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temperature=temperature,
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max_tokens=max_tokens,
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top_p=top_p,
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frequency_penalty=frequency_penalty,
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presence_penalty=presence_penalty,
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stop_sequences=stop_sequences,
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system_prompt=system_prompt,
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min_p=min_p,
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top_k=top_k,
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repeat_penalty=repeat_penalty,
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function_calling=function_calling
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)
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# Get response from model
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model_id = chat['model_id']
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response_text = model_service.generate_response(
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model_id=model_id,
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prompt=message,
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context=context,
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use_rag=use_rag,
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model_params=model_params
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)
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# Add bot response to chat
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response_message = self.add_message(
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chat_id=chat_id,
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content=response_text,
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user_id=user_id,
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is_user_message=False
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)
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return response_message
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# Create a singleton instance
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chat_service = ChatService()
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