import streamlit as st
from openai import OpenAI
import time
import datetime

# Set your API key as a variable (securely from env in HF or paste here)
openai_key = "YOUR_OPENAI_API_KEY_HERE"

st.set_page_config(page_title="Carfind.co.za AI Assistant")

st.title("Carfind.co.za AI Assistant")
st.caption("Chat with Carfind.co.za and Find your Next Car Fast")

# Simple login system
if "authenticated" not in st.session_state:
    st.session_state.authenticated = False

if not st.session_state.authenticated:
    st.subheader("Login")
    username = st.text_input("Username")
    password = st.text_input("Password", type="password")

    if st.button("Login"):
        if username == "andrew@lortechnologies.com" and password == "Pass.123":
            st.session_state.authenticated = True
            st.success("Login successful! Please refresh the page or continue below.")
        else:
            st.error("Invalid username or password.")

# Show chat interface only if logged in
if st.session_state.authenticated:
    # Sidebar with clear chat button and chat log link
    with st.sidebar:
        if st.button("🧹 Clear Chat"):
            st.session_state.messages = []
            st.success("Chat history cleared.")
        st.markdown("---")
        st.markdown("**Chat logs are saved locally in `chat_logs.txt`.**")

    # Initialize OpenAI client
    client = OpenAI(api_key=openai_key)

    ASSISTANT_ID = "asst_5gQR21fOsmHil11FGBzEArA7"

    # Initialize session state for chat history
    if "messages" not in st.session_state:
        st.session_state["messages"] = []

    # Display chat history
    for message in st.session_state.messages:
        role, content = message["role"], message["content"]
        st.chat_message(role).write(content)

    # Helper function to save chat transcripts
    def save_transcript(messages):
        with open("chat_logs.txt", "a") as f:
            f.write(f"\n--- New Chat ({datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')}) ---\n")
            for msg in messages:
                f.write(f"{msg['role'].capitalize()}: {msg['content']}\n")
            f.write("--- End Chat ---\n")

    # Process user input
    if prompt := st.chat_input("Type your message here..."):
        st.session_state.messages.append({"role": "user", "content": prompt})
        st.chat_message("user").write(prompt)

        try:
            # Create a new thread
            thread = client.beta.threads.create()
            thread_id = thread.id

            # Send user message
            client.beta.threads.messages.create(
                thread_id=thread_id,
                role="user",
                content=prompt
            )

            # Run assistant
            run = client.beta.threads.runs.create(
                thread_id=thread_id,
                assistant_id=ASSISTANT_ID
            )

            # Wait for completion
            while True:
                run_status = client.beta.threads.runs.retrieve(thread_id=thread_id, run_id=run.id)
                if run_status.status == "completed":
                    break
                time.sleep(1)

            # Get assistant response
            messages = client.beta.threads.messages.list(thread_id=thread_id)
            assistant_message = messages.data[0].content[0].text.value

            # Display and store response
            st.chat_message("assistant").write(assistant_message)
            st.session_state.messages.append({"role": "assistant", "content": assistant_message})

            # Save conversation transcript every interaction
            save_transcript(st.session_state.messages)

        except Exception as e:
            st.error(f"Error: {str(e)}")