import asyncio
from langchain_core.messages import HumanMessage
from rag_agent import agent, add_to_knowledge_base, search_knowledge_base

async def interactive_loop():
    print("Welcome to the RAG agent. Type /add to add a document, /search to query, /quit to exit.")
    thread_id = "session-1"
    while True:
        user_input = input(">> ").strip()
        if user_input.lower() == "/quit":
            print("Goodbye!")
            break
        elif user_input.lower() == "/add":
            title = input("Title: ").strip()
            print("Enter content (end with a single line containing only 'END'):")
            lines = []
            while True:
                line = input()
                if line.strip() == "END":
                    break
                lines.append(line)
            content = "\n".join(lines)
            result = add_to_knowledge_base(content, title)
            print(result)
        elif user_input.lower() == "/search":
            query = input("Query: ").strip()
            result = search_knowledge_base(query)
            print("Search results:")
            print(result)
        else:
            messages = [HumanMessage(content=user_input)]
            response = await agent.ainvoke(
                {"messages": messages},
                {"configurable": {"thread_id": thread_id}},
            )
            print(response["messages"][-1].content)

def main():
    asyncio.run(interactive_loop())

if __name__ == "__main__":
    main()