import logging from typing import Dict, Any, Optional from langchain.chains import ConversationChain logger = logging.getLogger(__name__) # In-memory storage for user sessions user_sessions: Dict[str, Dict[str, Any]] = {} def initialize_session( session_id: str, user_id: str, collection_name: Optional[str] = None ) -> None: """ Initialize a new chat session Args: session_id: Session ID user_id: User ID collection_name: Vector store collection name (optional) """ logger.info(f"Initializing session {session_id} for user {user_id}") user_sessions[session_id] = { "user_id": user_id, "collection_name": collection_name or "default", "chat_history": [], "rag_chain": None } def get_session(session_id: str) -> Dict[str, Any]: """ Get a session by ID Args: session_id: Session ID Returns: Dict: Session data """ return user_sessions.get(session_id) def create_rag_chain(session_id: str) -> ConversationChain: """ Create a RAG chain for a session Args: session_id: Session ID Returns: ConversationChain: The created RAG chain """ # Implementation for creating RAG chain # This would be replaced with actual implementation logger.info(f"Creating RAG chain for session {session_id}") # Placeholder for RAG chain creation rag_chain = ConversationChain() # Store the chain in the session if session_id in user_sessions: user_sessions[session_id]["rag_chain"] = rag_chain return rag_chain def clear_chat_history(session_id: str) -> None: """ Clear chat history for a session Args: session_id: Session ID """ logger.info(f"Clearing chat history for session {session_id}") if session_id in user_sessions: user_sessions[session_id]["chat_history"] = [] def update_chat_history(session_id: str, user_message: str, ai_message: str) -> None: """ Update chat history for a session Args: session_id: Session ID user_message: User message ai_message: AI response message """ if session_id in user_sessions: user_sessions[session_id]["chat_history"].append({ "user": user_message, "ai": ai_message })