import pandas as pd
from datetime import datetime
import os

def submit_conversation(messages, user_name, start_time, model_number, prompt_architecture):
    os.makedirs("conversations", exist_ok=True)
    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
    base_file_name = f"conversations/{timestamp}_convo"

    # Save conversation as CSV
    csv_file_name = f"{base_file_name}.csv"
    data = [{"Role": msg["role"], "Content": msg["content"]} for msg in messages]
    df = pd.DataFrame(data)
    df.to_csv(csv_file_name, index=False)

    # Calculate metadata
    end_time = datetime.now()
    total_time = end_time - start_time
    num_turns = len(messages)
    
    # Save metadata as TXT
    txt_file_name = f"{base_file_name}.txt"
    with open(txt_file_name, "w") as file:
        file.write(f"User Name: {user_name}\n")
        file.write(f"Conversation Date & Time: {end_time.strftime('%Y-%m-%d %H:%M:%S')}\n")
        file.write(f"Total Turns: {num_turns}\n")
        file.write(f"Total Conversation Time: {total_time}\n")
        file.write(f"Model Number: {model_number}\n")
        file.write(f"Prompt Architecture: {prompt_architecture}\n")

    return csv_file_name, txt_file_name