"""
This plugin provides a command to generate images using self hosted Stable Diffusion and send to the room
"""
# plugins/stable-diffusion.py
import requests
import base64
from asyncio import Queue
import argparse
import simplematrixbotlib as botlib
import markdown2
from slugify import slugify

def slugify_prompt(prompt):
    # Generate a slug from the prompt
    return slugify(prompt)

# Queue to store pending commands
command_queue = Queue()

def markdown_to_html(markdown_text):
    html_content = markdown2.markdown(markdown_text)
    return html_content

async def process_command(room, message, bot, prefix, config):
    match = botlib.MessageMatch(room, message, bot, prefix)
    if match.prefix() and match.command("sd"):
        if command_queue.empty():
            await handle_command(room, message, bot, prefix, config)
        else:
            await command_queue.put((room, message, bot, prefix, config))

async def handle_command(room, message, bot, prefix, config):
    match = botlib.MessageMatch(room, message, bot, prefix)
    if match.prefix() and match.command("sd"):
        try:
            parser = argparse.ArgumentParser(description='Generate images using self hosted Stable Diffusion')
            parser.add_argument('--steps', type=int, default=4, help='Number of steps, default=16')
            parser.add_argument('--cfg', type=int, default=1.25, help='CFG scale, default=7')
            parser.add_argument('--h', type=int, default=512, help='Height of the image, default=512')
            parser.add_argument('--w', type=int, default=512, help='Width of the image, default=512')
            parser.add_argument('--neg', type=str, default='((((ugly)))), (((duplicate))), ((morbid)), ((mutilated)), out of frame, extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), ((ugly)), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck)))', nargs='+', help='Negative prompt, default=none')
            parser.add_argument('--sampler', type=str, nargs='*', default=['DPM++', 'SDE', 'Karras'], help='Sampler name, default=Euler a')
            parser.add_argument('prompt', type=str, nargs='*', help='Prompt for the image')

            args = parser.parse_args(message.body.split()[1:])  # Skip the command itself

            if not args.prompt:
                raise argparse.ArgumentError(None, "Prompt is required.")

            prompt = ' '.join(args.prompt)
            sampler_name = ' '.join(args.sampler)
            neg = ' '.join(args.neg)
            payload = {
                "prompt": prompt,
                "steps": args.steps,
                "negative_prompt": neg,
                "sampler_name": sampler_name,
                "cfg_scale": args.cfg,
                "width": args.w,
                "height": args.h,
            }
            url = "http://127.0.0.1:7860/sdapi/v1/txt2img"

            response = requests.post(url=url, json=payload)
            r = response.json()

            # Slugify the prompt
            prompt_slug = prompt[:120]

            # Construct filename
            filename = f"{prompt_slug}_{args.steps}_{args.h}x{args.w}_{sampler_name}_{args.cfg}.jpg"
            with open(f"/tmp/{filename}", 'wb') as f:
                f.write(base64.b64decode(r['images'][0]))
            await bot.api.send_image_message(room_id=room.room_id, image_filepath=f"/tmp/{filename}")  # Corrected argument name
            neg = neg.replace(" ", "")
            info_msg = f"""<details><summary>🍄⤵︎Image Info:⤵︎</summary><strong>Prompt:</strong> {prompt_slug}<br><strong>Steps:</strong> {args.steps}<br><strong>Dimensions:</strong> {args.h}x{args.w}<br><strong>Sampler:</strong> {sampler_name}<br><strong>CFG Scale:</strong> {args.cfg}<br><strong>Negative Prompt: {neg}</strong></details>"""
            await bot.api.send_markdown_message(room.room_id, info_msg)
        except argparse.ArgumentError as e:
            await bot.api.send_text_message(room.room_id, f"Error: {e}")
            await bot.api.send_markdown_message(room.room_id, "<details><summary>Stable Diffusion Help</summary>" + print_help() + "</details>")
        except Exception as e:
            await bot.api.send_text_message(room.room_id, f"Error processing the command: {str(e)}")
        finally:
            if not command_queue.empty():
                next_command = await command_queue.get()
                await handle_command(*next_command)


def print_help():
    return """
  <p>Generate images using self-hosted Stable Diffusion</p>

  <p>Positional arguments:</p>
  <ul>
    <li>prompt - Prompt for the image</li>
  </ul>

  <p>Optional arguments:</p>
  <ul>
    <li>--steps STEPS - Number of steps, default=16</li>
    <li>--cfg CFG - CFG scale, default=7</li>
    <li>--h H - Height of the image, default=512</li>
    <li>--w W - Width of the image, default=512</li>
    <li>--neg NEG - Negative prompt, default=none</li>
    <li>--sampler SAMPLER - Sampler name, default=Euler a</li>
  </ul>

  <p>LORA List:</p>
  <ul>
    <li>&lt;psychedelicai-SDXL&gt;</li>
    <li>&lt;ral-frctlgmtry-sdxl&gt;</li>
    <li>&lt;SDXL-PsyAI-v4&gt;</li>
    <li>&lt;al3xxl&gt;</li>
  </ul>

  <p>Load LORAs like this:</p>
  <ul>
    <li>&lt;lora:SDXL-PsyAI-v4:1&gt; PsyAI</li>
    <li>&lt;lora:psychedelicai-SDXL:1&gt; Psychedelic</li>
    <li>&lt;ral-frctlgmtry-sdxl&gt; ral-frctlgmtry</li>
    <li>&lt;lora:al3xxl:1&gt; alexpainting, alexhuman, alexentity, alexthirdeye, alexforeheads, alexgalactic, spiraling, alexmirror, alexangel, alexkissing, alexthirdeye2, alexthirdeye3, alexhofmann, wearing, glasses, alexgalactic3, alexthirdeye4, alexhuman3, alexgalactic2, alexhuman2, alexbeing2, alexfractal2, alexfractal3</li>
  </ul>
"""