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