import gradio as gr
import numpy as np
import random
import multiprocessing
import subprocess
import sys
import time
import signal
import json
import os
import requests

from loguru import logger
from decouple import config

from pathlib import Path
from PIL import Image
import io

URL="http://127.0.0.1"
OUTPUT_DIR="Backend/output"
INPUT_DIR="Backend/input"
BACKEND_PATH="Backend/main.py"
import torch

import spaces

print(f"Is CUDA available: {torch.cuda.is_available()}")
print(f"CUDA device: {torch.cuda.get_device_name(torch.cuda.current_device())}")
print(torch.version.cuda)
device = torch.cuda.get_device_name(torch.cuda.current_device())
print(device)


def read_prompt_from_file(filename):
    with open(filename, 'r', encoding='utf-8') as file:
        return json.load(file)

def wait_for_image_with_prefix(folder, prefix):
    def is_file_ready(file_path):
        initial_size = os.path.getsize(file_path)
        time.sleep(1)
        return initial_size == os.path.getsize(file_path)

    files = os.listdir(folder)
    image_files = [f for f in files if f.lower().startswith(prefix.lower()) and
                   f.lower().endswith(('.png', '.jpg', '.jpeg'))]

    if image_files:
        # Sort by modification time to get the latest file
        image_files.sort(key=lambda x: os.path.getmtime(os.path.join(folder, x)), reverse=True)
        latest_image = os.path.join(folder, image_files[0])

        if is_file_ready(latest_image):
            # Wait a bit more to ensure the file is completely written
            time.sleep(3)
            return latest_image

    return None

def delete_image_file(file_path):
    try:
        if os.path.exists(file_path):
            os.remove(file_path)
            logger.debug(f"file {file_path} deleted")
        else:
            logger.debug(f"file {file_path} is not exist")
    except Exception as e:
        logger.debug(f"error {file_path}: {str(e)}")

def start_queue(prompt_workflow, port):
    p = {"prompt": prompt_workflow}
    data = json.dumps(p).encode('utf-8')
    requests.post(f"{URL}:{port}/prompt", data=data)

def check_server_ready(port):
    try:
        response = requests.get(f"{URL}:{port}/history/123", timeout=5)
        return response.status_code == 200
    except requests.RequestException:
        return False

@spaces.GPU(duration=170)
def generate_image(image):
    prefix_filename = str(random.randint(0, 999999))
    prompt = read_prompt_from_file('good_upscaler.json')
    prompt = json.dumps(prompt, ensure_ascii=False).replace('OutPutImage', prefix_filename)
    prompt = json.loads(prompt)

    image = Image.fromarray(image)
    image.save(INPUT_DIR + '/input.png', format='PNG')

    process = None
    new_port = str(random.randint(8123, 8200))

    try:        
        process = subprocess.Popen([sys.executable, BACKEND_PATH, "--listen", "127.0.0.1", "--port", new_port])
        logger.debug(f'Subprocess started with PID: {process.pid}')
      
        for _ in range(40): 
            if check_server_ready(new_port):
                break
            time.sleep(1)
        else:
            raise TimeoutError("Server did not start in time")

        start_queue(prompt, new_port)
        
        timeout = 240
        start_time = time.time()
        while time.time() - start_time < timeout:
            latest_image = wait_for_image_with_prefix(OUTPUT_DIR, prefix_filename)
            if latest_image:
                logger.debug(f"file is: {latest_image}")
                try:
                    return Image.open(latest_image)
                finally:
                    delete_image_file(latest_image)
                    delete_image_file(INPUT_DIR + '/input.png')
            time.sleep(1)

        raise TimeoutError("New image was not generated in time")

    except Exception as e:
        logger.error(f"Error in generate_image: {e}")        

    finally:        
        if process and process.poll() is None:
            process.terminate()
            logger.debug("process.terminate()")
            try:
                logger.debug("process.wait(timeout=5)")
                process.wait(timeout=5)
            except subprocess.TimeoutExpired:
                logger.debug("process.kill()")
                process.kill()

if __name__ == "__main__":
    demo = gr.Interface(
        fn=generate_image,
        inputs=[gr.Image(image_mode='RGBA', type="numpy")],
        outputs=[gr.Image(type="numpy", image_mode='RGBA')],
        title="Image Upscaler",
        description="This is an upscaler that increases the resolution of your image to 16 megapixels. Upload an image to get started!"
    )
    demo.launch(debug=True)
    logger.debug('demo.launch()')

    logger.info("finish")