import discord
from discord.ext import commands
from openai import OpenAI
import os
from dotenv import load_dotenv

# Load environment variables
load_dotenv()

# Configure OpenAI client to point to OpenWebUI
client = OpenAI(
    api_key=os.getenv('OPENAI_API_KEY'),
    base_url=os.getenv('OPENWEBUI_API_BASE')  # e.g., "http://localhost:8080/v1"
)

# Initialize Discord bot
intents = discord.Intents.default()
intents.message_content = True
bot = commands.Bot(command_prefix="!", intents=intents)

# Add a dictionary to store conversation histories
conversation_histories = {}
DEFAULT_HISTORY_LIMIT = 50
MAX_HISTORY_LIMIT = 200

async def get_ai_response(prompt, channel_id=None):
    try:
        messages = []
        
        # Always include history if it exists for this channel
        if channel_id in conversation_histories:
            history = conversation_histories[channel_id][-400:]  # Get last 400 messages (200 exchanges)
            
            # Format the history as a context block
            history_text = "\n".join([
                f"{'User: ' if msg['role'] == 'user' else 'Assistant: '}{msg['content']}"
                for msg in history
            ])
            
            formatted_prompt = f"{prompt}\n##CONTEXT##\n{history_text}\n##ENDCONTEXT##"
        else:
            formatted_prompt = prompt

        response = client.chat.completions.create(
            model=os.getenv('MODEL_NAME') or "us.anthropic.claude-3-5-sonnet-20241022-v2:0",
            messages=[{"role": "user", "content": formatted_prompt}],
            temperature=0.7,
            max_tokens=500
        )
        
        # Store the conversation history if channel_id is provided
        if channel_id:
            if channel_id not in conversation_histories:
                conversation_histories[channel_id] = []
            conversation_histories[channel_id].extend([
                {"role": "user", "content": prompt},
                {"role": "assistant", "content": response.choices[0].message.content}
            ])
            
            # Always keep last 400 messages (200 exchanges)
            if len(conversation_histories[channel_id]) > 400:
                conversation_histories[channel_id] = conversation_histories[channel_id][-400:]
        
        return response.choices[0].message.content
    except Exception as e:
        print(f"Error getting AI response: {e}")
        return "Sorry, I encountered an error while processing your request."

@bot.event
async def on_message(message):
    if message.author == bot.user:
        return

    # Respond to DMs or when mentioned in a server
    if isinstance(message.channel, discord.DMChannel) or bot.user in message.mentions:
        # For mentions, remove the bot mention from the message
        if bot.user in message.mentions:
            prompt = message.content.replace(f'<@{bot.user.id}>', '').strip()
        else:
            prompt = message.content.strip()
        
        if not prompt:
            await message.channel.send("Hello! How can I help you?")
            return

        async with message.channel.typing():
            response = await get_ai_response(
                prompt,
                channel_id=str(message.channel.id)
            )
            
            if len(response) > 2000:
                chunks = [response[i:i+2000] for i in range(0, len(response), 2000)]
                for chunk in chunks:
                    await message.channel.send(chunk)
            else:
                await message.channel.send(response)

    await bot.process_commands(message)

def main():
    # Get the Discord token from environment variables
    discord_token = os.getenv('DISCORD_TOKEN')
    if not discord_token:
        raise ValueError("Discord token not found in environment variables")

    # Run the bot
    bot.run(discord_token)

if __name__ == "__main__":
    main()