import multiprocessing
import os
import pathlib
import socket
import subprocess
import sys
import time
import urllib
from typing import Tuple, List

import pytest
import requests

from comfy.cli_args_types import Configuration

# fixes issues with running the testcontainers rabbitmqcontainer on Windows
os.environ["TC_HOST"] = "localhost"


def get_lan_ip():
    """
    Finds the host's IP address on the LAN it's connected to.

    Returns:
        str: The IP address of the host on the LAN.
    """
    # Create a dummy socket
    s = None
    try:
        # Connect to a dummy address (Here, Google's public DNS server)
        # The actual connection is not made, but this allows finding out the LAN IP
        s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
        s.connect(("8.8.8.8", 80))
        ip = s.getsockname()[0]
    finally:
        if s is not None:
            s.close()
    return ip


def run_server(server_arguments: Configuration):
    from comfy.cmd.main import main
    from comfy.cli_args import args
    import asyncio
    for arg, value in server_arguments.items():
        args[arg] = value
    asyncio.run(main())


@pytest.fixture(scope="function", autouse=False)
def has_gpu() -> bool:
    # mps
    has_gpu = False
    try:
        import torch
        has_gpu = torch.backends.mps.is_available() and torch.device("mps") is not None
        if has_gpu:
            from comfy import model_management
            from comfy.model_management import CPUState
            model_management.cpu_state = CPUState.MPS
    except ImportError:
        pass

    if not has_gpu:
        # ipex
        try:
            import intel_extension_for_pytorch as ipex
            has_gpu = ipex.xpu.device_count() > 0
        except ImportError:
            has_gpu = False

        if not has_gpu:
            # cuda
            try:
                import torch
                has_gpu = torch.device(torch.cuda.current_device()) is not None
            except:
                has_gpu = False

    if has_gpu:
        from comfy import model_management
        from comfy.model_management import CPUState
        if model_management.cpu_state != CPUState.MPS:
            model_management.cpu_state = CPUState.GPU if has_gpu else CPUState.CPU
    yield has_gpu


@pytest.fixture(scope="module", autouse=False, params=["ThreadPoolExecutor", "ProcessPoolExecutor"])
def frontend_backend_worker_with_rabbitmq(request, tmp_path_factory, num_workers: int = 1):
    from huggingface_hub import hf_hub_download
    hf_hub_download("stabilityai/stable-diffusion-xl-base-1.0", "sd_xl_base_1.0.safetensors")
    hf_hub_download("stabilityai/stable-diffusion-xl-refiner-1.0", "sd_xl_refiner_1.0.safetensors")

    tmp_path = tmp_path_factory.mktemp("comfy_background_server")
    executor_factory = request.param
    processes_to_close: List[subprocess.Popen] = []

    from testcontainers.rabbitmq import RabbitMqContainer
    with RabbitMqContainer("rabbitmq:latest") as rabbitmq:
        params = rabbitmq.get_connection_params()
        connection_uri = f"amqp://guest:guest@127.0.0.1:{params.port}"

        frontend_command = [
            "comfyui",
            "--listen=0.0.0.0",
            "--port=9001",
            "--cpu",
            "--distributed-queue-frontend",
            f"-w={str(tmp_path)}",
            f"--distributed-queue-connection-uri={connection_uri}",
        ]

        processes_to_close.append(subprocess.Popen(frontend_command, stdout=sys.stdout, stderr=sys.stderr))

        # Start multiple workers
        for i in range(num_workers):
            backend_command = [
                "comfyui-worker",
                f"--port={9002 + i}",
                f"-w={str(tmp_path)}",
                f"--distributed-queue-connection-uri={connection_uri}",
                f"--executor-factory={executor_factory}"
            ]
            processes_to_close.append(subprocess.Popen(backend_command, stdout=sys.stdout, stderr=sys.stderr))

        try:
            server_address = f"http://{get_lan_ip()}:9001"
            start_time = time.time()
            connected = False
            while time.time() - start_time < 60:
                try:
                    response = requests.get(server_address)
                    if response.status_code == 200:
                        connected = True
                        break
                except requests.exceptions.ConnectionError:
                    pass
                time.sleep(1)
            if not connected:
                raise RuntimeError("could not connect to frontend")
            yield server_address
        finally:
            for process in processes_to_close:
                process.terminate()


@pytest.fixture(scope="module", autouse=False)
def comfy_background_server(tmp_path_factory) -> Tuple[Configuration, multiprocessing.Process]:
    tmp_path = tmp_path_factory.mktemp("comfy_background_server")
    import torch
    # Start server

    configuration = Configuration()
    configuration.listen = "localhost"
    configuration.output_directory = str(tmp_path)
    configuration.input_directory = str(tmp_path)

    server_process = multiprocessing.Process(target=run_server, args=(configuration,))
    server_process.start()
    # wait for http url to be ready
    success = False
    for i in range(60):
        try:
            with urllib.request.urlopen(f"http://localhost:{configuration['port']}/object_info") as response:
                success = response.status == 200
                if success:
                    break
        except:
            pass
        time.sleep(1)
    if not success:
        raise Exception("Failed to start background server")
    yield configuration, server_process
    server_process.terminate()
    torch.cuda.empty_cache()


def pytest_collection_modifyitems(items):
    # Modifies items so tests run in the correct order

    LAST_TESTS = ['test_quality']

    # Move the last items to the end
    last_items = []
    for test_name in LAST_TESTS:
        for item in items.copy():
            print(item.module.__name__, item)  # noqa: T201
            if item.module.__name__ == test_name:
                last_items.append(item)
                items.remove(item)

    items.extend(last_items)


@pytest.fixture(scope="module")
def vae():
    from comfy.nodes.base_nodes import VAELoader

    vae_file = "vae-ft-mse-840000-ema-pruned.safetensors"
    try:
        vae, = VAELoader().load_vae(vae_file)
    except FileNotFoundError:
        pytest.skip(f"{vae_file} not present on machine")
    return vae


@pytest.fixture(scope="module")
def clip():
    from comfy.nodes.base_nodes import CheckpointLoaderSimple

    checkpoint = "v1-5-pruned-emaonly.safetensors"
    try:
        return CheckpointLoaderSimple().load_checkpoint(checkpoint)[1]
    except FileNotFoundError:
        pytest.skip(f"{checkpoint} not present on machine")


@pytest.fixture(scope="module")
def model(clip):
    from comfy.nodes.base_nodes import CheckpointLoaderSimple
    checkpoint = "v1-5-pruned-emaonly.safetensors"
    try:
        return CheckpointLoaderSimple().load_checkpoint(checkpoint)[0]
    except FileNotFoundError:
        pytest.skip(f"{checkpoint} not present on machine")


@pytest.fixture(scope="function", autouse=False)
def use_temporary_output_directory(tmp_path: pathlib.Path):
    from comfy.cmd import folder_paths

    orig_dir = folder_paths.get_output_directory()
    folder_paths.set_output_directory(tmp_path)
    yield tmp_path
    folder_paths.set_output_directory(orig_dir)


@pytest.fixture(scope="function", autouse=False)
def use_temporary_input_directory(tmp_path: pathlib.Path):
    from comfy.cmd import folder_paths

    orig_dir = folder_paths.get_input_directory()
    folder_paths.set_input_directory(tmp_path)
    yield tmp_path
    folder_paths.set_input_directory(orig_dir)