# GPU 패치: NVIDIA 드라이버가 없으면 torch.cuda 관련 호출이 CPU 디바이스로 전환되도록 처리
import torch
if not torch.cuda.is_available():
    # torch.cuda.current_device()가 호출되면 0을 반환하도록 패치하고,
    # torch.device(정수)를 요청받으면 "cpu" 장치로 반환하도록 변경합니다.
    torch.cuda.current_device = lambda: 0
    original_torch_device = torch.device
    def patched_torch_device(arg):
        if isinstance(arg, int):
            return original_torch_device("cpu")
        return original_torch_device(arg)
    torch.device = patched_torch_device

import comfy.options
comfy.options.enable_args_parsing()

import os
import importlib.util
import folder_paths
import time
from comfy.cli_args import args
from app.logger import setup_logger

setup_logger(log_level=args.verbose)

def execute_prestartup_script():
    def execute_script(script_path):
        module_name = os.path.splitext(script_path)[0]
        try:
            spec = importlib.util.spec_from_file_location(module_name, script_path)
            module = importlib.util.module_from_spec(spec)
            spec.loader.exec_module(module)
            return True
        except Exception as e:
            print(f"Failed to execute startup-script: {script_path} / {e}")
        return False

    if args.disable_all_custom_nodes:
        return

    node_paths = folder_paths.get_folder_paths("custom_nodes")
    node_prestartup_times = []  # 모든 노드의 실행시간을 누적합니다.
    for custom_node_path in node_paths:
        possible_modules = os.listdir(custom_node_path)
        for possible_module in possible_modules:
            module_path = os.path.join(custom_node_path, possible_module)
            if os.path.isfile(module_path) or module_path.endswith(".disabled") or possible_module == "__pycache__":
                continue

            script_path = os.path.join(module_path, "prestartup_script.py")
            if os.path.exists(script_path):
                time_before = time.perf_counter()
                success = execute_script(script_path)
                elapsed = time.perf_counter() - time_before
                node_prestartup_times.append((elapsed, module_path, success))
    
    if node_prestartup_times:
        # Rich 라이브러리가 있다면 테이블 형식으로 출력합니다.
        try:
            from rich.console import Console
            from rich.table import Table
            console = Console()
            table = Table(title="Prestartup Times for Custom Nodes")
            table.add_column("Time (s)", justify="right")
            table.add_column("Status")
            table.add_column("Custom Node Path")
            for elapsed, module_path, success in sorted(node_prestartup_times, key=lambda x: x[0]):
                status = "[green]Success[/green]" if success else "[red]Failed[/red]"
                table.add_row(f"{elapsed:.1f}", status, module_path)
            console.print(table)
        except ImportError:
            # Rich 미설치 시 기존 print 방식 사용
            print("\nPrestartup times for custom nodes:")
            for elapsed, module_path, success in sorted(node_prestartup_times, key=lambda x: x[0]):
                import_message = "" if success else " (PRESTARTUP FAILED)"
                print("{:6.1f} seconds{}:".format(elapsed, import_message), module_path)
        print()

execute_prestartup_script()


# Main code
import asyncio
import itertools
import shutil
import threading
import gc

import logging
import utils.extra_config

if os.name == "nt":
    logging.getLogger("xformers").addFilter(lambda record: 'A matching Triton is not available' not in record.getMessage())

if __name__ == "__main__":
    if args.cuda_device is not None:
        os.environ['CUDA_VISIBLE_DEVICES'] = str(args.cuda_device)
        os.environ['HIP_VISIBLE_DEVICES'] = str(args.cuda_device)
        logging.info("Set cuda device to: {}".format(args.cuda_device))

    if args.deterministic:
        if 'CUBLAS_WORKSPACE_CONFIG' not in os.environ:
            os.environ['CUBLAS_WORKSPACE_CONFIG'] = ":4096:8"

    import cuda_malloc

if args.windows_standalone_build:
    try:
        import fix_torch
    except Exception:
        pass

import comfy.utils

import execution
import server
from server import BinaryEventTypes
import nodes
import comfy.model_management

# NVIDIA GPU 드라이버가 없는 경우 경고 메시지를 남깁니다.
if not torch.cuda.is_available():
    logging.warning("No NVIDIA GPU driver found. Running in CPU mode. Performance may be degraded.")

def cuda_malloc_warning():
    device = comfy.model_management.get_torch_device()
    device_name = comfy.model_management.get_torch_device_name(device)
    warning_needed = False
    if "cudaMallocAsync" in device_name:
        for b in cuda_malloc.blacklist:
            if b in device_name:
                warning_needed = True
        if warning_needed:
            logging.warning("\nWARNING: this card most likely does not support cuda-malloc, if you get 'CUDA error' please run ComfyUI with: --disable-cuda-malloc\n")

def prompt_worker(q, server):
    e = execution.PromptExecutor(server, lru_size=args.cache_lru)
    last_gc_collect = 0
    need_gc = False
    gc_collect_interval = 10.0

    while True:
        timeout = 1000.0
        if need_gc:
            timeout = max(gc_collect_interval - (time.perf_counter() - last_gc_collect), 0.0)

        queue_item = q.get(timeout=timeout)
        if queue_item is not None:
            item, item_id = queue_item
            execution_start_time = time.perf_counter()
            prompt_id = item[1]
            server.last_prompt_id = prompt_id

            e.execute(item[2], prompt_id, item[3], item[4])
            need_gc = True
            q.task_done(item_id,
                        e.history_result,
                        status=execution.PromptQueue.ExecutionStatus(
                            status_str='success' if e.success else 'error',
                            completed=e.success,
                            messages=e.status_messages))
            if server.client_id is not None:
                server.send_sync("executing", { "node": None, "prompt_id": prompt_id }, server.client_id)

            current_time = time.perf_counter()
            execution_time = current_time - execution_start_time
            logging.info("Prompt executed in {:.2f} seconds".format(execution_time))

        flags = q.get_flags()
        free_memory = flags.get("free_memory", False)

        if flags.get("unload_models", free_memory):
            comfy.model_management.unload_all_models()
            need_gc = True
            last_gc_collect = 0

        if free_memory:
            e.reset()
            need_gc = True
            last_gc_collect = 0

        if need_gc:
            current_time = time.perf_counter()
            if (current_time - last_gc_collect) > gc_collect_interval:
                comfy.model_management.cleanup_models()
                gc.collect()
                comfy.model_management.soft_empty_cache()
                last_gc_collect = current_time
                need_gc = False

async def run(server, address='', port=8188, verbose=True, call_on_start=None):
    addresses = []
    for addr in address.split(","):
        addresses.append((addr, port))
    await asyncio.gather(server.start_multi_address(addresses, call_on_start), server.publish_loop())

def hijack_progress(server):
    def hook(value, total, preview_image):
        comfy.model_management.throw_exception_if_processing_interrupted()
        progress = {"value": value, "max": total, "prompt_id": server.last_prompt_id, "node": server.last_node_id}

        server.send_sync("progress", progress, server.client_id)
        if preview_image is not None:
            server.send_sync(BinaryEventTypes.UNENCODED_PREVIEW_IMAGE, preview_image, server.client_id)
    comfy.utils.set_progress_bar_global_hook(hook)

def cleanup_temp():
    temp_dir = folder_paths.get_temp_directory()
    if os.path.exists(temp_dir):
        shutil.rmtree(temp_dir, ignore_errors=True)

if __name__ == "__main__":
    if args.temp_directory:
        temp_dir = os.path.join(os.path.abspath(args.temp_directory), "temp")
        logging.info(f"Setting temp directory to: {temp_dir}")
        folder_paths.set_temp_directory(temp_dir)
    cleanup_temp()

    if args.windows_standalone_build:
        try:
            import new_updater
            new_updater.update_windows_updater()
        except Exception:
            pass

    loop = asyncio.new_event_loop()
    asyncio.set_event_loop(loop)
    server = server.PromptServer(loop)
    q = execution.PromptQueue(server)

    extra_model_paths_config_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "extra_model_paths.yaml")
    if os.path.isfile(extra_model_paths_config_path):
        utils.extra_config.load_extra_path_config(extra_model_paths_config_path)

    if args.extra_model_paths_config:
        for config_path in itertools.chain(*args.extra_model_paths_config):
            utils.extra_config.load_extra_path_config(config_path)

    nodes.init_extra_nodes(init_custom_nodes=not args.disable_all_custom_nodes)

    cuda_malloc_warning()

    server.add_routes()
    hijack_progress(server)

    threading.Thread(target=prompt_worker, daemon=True, args=(q, server,)).start()

    if args.output_directory:
        output_dir = os.path.abspath(args.output_directory)
        logging.info(f"Setting output directory to: {output_dir}")
        folder_paths.set_output_directory(output_dir)

    # 기본 모델 저장 폴더 경로 설정
    folder_paths.add_model_folder_path("checkpoints", os.path.join(folder_paths.get_output_directory(), "checkpoints"))
    folder_paths.add_model_folder_path("clip", os.path.join(folder_paths.get_output_directory(), "clip"))
    folder_paths.add_model_folder_path("vae", os.path.join(folder_paths.get_output_directory(), "vae"))
    folder_paths.add_model_folder_path("diffusion_models", os.path.join(folder_paths.get_output_directory(), "diffusion_models"))
    folder_paths.add_model_folder_path("loras", os.path.join(folder_paths.get_output_directory(), "loras"))

    if args.input_directory:
        input_dir = os.path.abspath(args.input_directory)
        logging.info(f"Setting input directory to: {input_dir}")
        folder_paths.set_input_directory(input_dir)
    
    if args.user_directory:
        user_dir = os.path.abspath(args.user_directory)
        logging.info(f"Setting user directory to: {user_dir}")
        folder_paths.set_user_directory(user_dir)

    if args.quick_test_for_ci:
        exit(0)

    os.makedirs(folder_paths.get_temp_directory(), exist_ok=True)
    call_on_start = None
    if args.auto_launch:
        def startup_server(scheme, address, port):
            import webbrowser
            if os.name == 'nt' and address == '0.0.0.0':
                address = '127.0.0.1'
            if ':' in address:
                address = "[{}]".format(address)
            webbrowser.open(f"{scheme}://{address}:{port}")
        call_on_start = startup_server

    try:
        loop.run_until_complete(server.setup())
        loop.run_until_complete(run(server, address=args.listen, port=args.port, verbose=not args.dont_print_server, call_on_start=call_on_start))
    except KeyboardInterrupt:
        logging.info("\nStopped server")

    cleanup_temp()