import discord
import logging
import os
from transformers import PaliGemmaForConditionalGeneration, PaliGemmaProcessor
import torch
import re
import requests
from PIL import Image
import io
import gradio as gr
import threading

# 로깅 설정
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s:%(levelname)s:%(name)s: %(message)s', handlers=[logging.StreamHandler()])

# 디스코드 인텐트 설정
intents = discord.Intents.default()
intents.message_content = True
intents.messages = True
intents.guilds = True
intents.guild_messages = True

# PaliGemma 모델 설정 (CPU 모드)
model = PaliGemmaForConditionalGeneration.from_pretrained("gokaygokay/sd3-long-captioner").to("cpu").eval()
processor = PaliGemmaProcessor.from_pretrained("gokaygokay/sd3-long-captioner")

def modify_caption(caption: str) -> str:
    prefix_substrings = [
        ('captured from ', ''),
        ('captured at ', '')
    ]
    pattern = '|'.join([re.escape(opening) for opening, _ in prefix_substrings])
    replacers = {opening: replacer for opening, replacer in prefix_substrings}
    
    def replace_fn(match):
        return replacers[match.group(0)]
    
    return re.sub(pattern, replace_fn, caption, count=1, flags=re.IGNORECASE)

async def create_captions_rich(image: Image.Image) -> str:
    prompt = "caption en"
    image_tensor = processor(images=image, return_tensors="pt").pixel_values.to("cpu")
    image_tensor = (image_tensor * 255).type(torch.uint8)
    model_inputs = processor(text=prompt, images=image_tensor, return_tensors="pt").to("cpu")
    input_len = model_inputs["input_ids"].shape[-1]

    loop = asyncio.get_event_loop()
    generation = await loop.run_in_executor(
        None,
        lambda: model.generate(**model_inputs, max_new_tokens=256, do_sample=False)
    )
    generation = generation[0][input_len:]
    decoded = processor.decode(generation, skip_special_tokens=True)

    modified_caption = modify_caption(decoded)
    return modified_caption

# Gradio 인터페이스 설정
def create_captions_rich_sync(image):
    return asyncio.run(create_captions_rich(image))

css = """
  #mkd {
    height: 500px; 
    overflow: auto; 
    border: 1px solid #ccc; 
  }
"""

with gr.Blocks(css=css) as demo:
    gr.HTML("<h1><center>PaliGemma Fine-tuned for Long Captioning<center><h1>")
    with gr.Tab(label="PaliGemma Long Captioner"):
        with gr.Row():
            with gr.Column():
                input_img = gr.Image(label="Input Picture")
                submit_btn = gr.Button(value="Submit")
            output = gr.Text(label="Caption")

        gr.Examples(
            [["image1.jpg"], ["image2.jpg"], ["image3.png"], ["image4.jpg"], ["image5.jpg"], ["image6.PNG"]],
            inputs=[input_img],
            outputs=[output],
            fn=create_captions_rich_sync,
            label='Try captioning on examples'
        )

        submit_btn.click(create_captions_rich_sync, [input_img], [output])

# Gradio 서버를 비동기적으로 실행
def run_gradio():
    demo.launch(
        server_name="0.0.0.0", 
        server_port=int(os.getenv("GRADIO_SERVER_PORT", 7861)), 
        inbrowser=True
    )

# 특정 채널 ID 설정
SPECIFIC_CHANNEL_ID = int(os.getenv("DISCORD_CHANNEL_ID", "123456789012345678"))  # 환경 변수 또는 직접 설정

# 디스코드 봇 설정
class MyClient(discord.Client):
    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)
        self.is_processing = False

    async def on_ready(self):
        logging.info(f'{self.user}로 로그인되었습니다!')
        threading.Thread(target=run_gradio, daemon=True).start()
        logging.info("Gradio 서버가 시작되었습니다.")

    async def on_message(self, message):
        if message.author == self.user:
            return
        if not self.is_message_in_specific_channel(message):
            return
        if self.is_processing:
            return
        self.is_processing = True
        try:
            if message.attachments:
                image_url = message.attachments[0].url
                response = await process_image(image_url, message)
                await message.channel.send(response)
        finally:
            self.is_processing = False

    def is_message_in_specific_channel(self, message):
        return message.channel.id == SPECIFIC_CHANNEL_ID or (
            isinstance(message.channel, discord.Thread) and message.channel.parent_id == SPECIFIC_CHANNEL_ID
        )

async def process_image(image_url, message):
    image = await download_image(image_url)
    caption = await create_captions_rich(image)
    return f"{message.author.mention}, 인식된 이미지 설명: {caption}"

async def download_image(url):
    response = requests.get(url)
    image = Image.open(io.BytesIO(response.content)).convert("RGB")  # 이미지 변환
    return image

if __name__ == "__main__":
    discord_client = MyClient(intents=intents)
    discord_client.run(os.getenv('DISCORD_TOKEN'))

    discord_client = MyClient(intents=intents)
    discord_client.run(os.getenv('DISCORD_TOKEN'))