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

# Get OpenAI API key from Hugging Face secret environment variable
openai_key = os.getenv("openai_key")

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!")
else:
    # Sidebar with clear chat button
    with st.sidebar:
        if st.button("🧹 Clear Chat"):
            st.session_state.messages = []
            st.success("Chat history cleared.")

    # Initialize OpenAI client
    if not openai_key:
        st.error("OpenAI key not found. Please make sure it is set as a secret variable in Hugging Face.")
    else:
        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 (not displayed, backend only)
        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 silently
                save_transcript(st.session_state.messages)

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