import importlib
import logging
import os
import sys
import warnings
from threading import Thread

from modules.timer import startup_timer


def imports():
    logging.getLogger("torch.distributed.nn").setLevel(logging.ERROR)  # sshh...
    logging.getLogger("xformers").addFilter(lambda record: 'A matching Triton is not available' not in record.getMessage())

    import torch  # noqa: F401
    startup_timer.record("import torch")
    import pytorch_lightning  # noqa: F401
    startup_timer.record("import torch")
    warnings.filterwarnings(action="ignore", category=DeprecationWarning, module="pytorch_lightning")
    warnings.filterwarnings(action="ignore", category=UserWarning, module="torchvision")

    os.environ.setdefault('GRADIO_ANALYTICS_ENABLED', 'False')
    import gradio  # noqa: F401
    startup_timer.record("import gradio")

    from modules import paths, timer, import_hook, errors  # noqa: F401
    startup_timer.record("setup paths")

    import ldm.modules.encoders.modules  # noqa: F401
    startup_timer.record("import ldm")

    import sgm.modules.encoders.modules  # noqa: F401
    startup_timer.record("import sgm")

    from modules import shared_init
    shared_init.initialize()
    startup_timer.record("initialize shared")

    from modules import processing, gradio_extensons, ui  # noqa: F401
    startup_timer.record("other imports")


def check_versions():
    from modules.shared_cmd_options import cmd_opts

    if not cmd_opts.skip_version_check:
        from modules import errors
        errors.check_versions()


def initialize():
    from modules import initialize_util
    initialize_util.fix_torch_version()
    initialize_util.fix_asyncio_event_loop_policy()
    initialize_util.validate_tls_options()
    initialize_util.configure_sigint_handler()
    initialize_util.configure_opts_onchange()

    from modules import sd_models
    sd_models.setup_model()
    startup_timer.record("setup SD model")

    from modules.shared_cmd_options import cmd_opts

    from modules import codeformer_model
    warnings.filterwarnings(action="ignore", category=UserWarning, module="torchvision.transforms.functional_tensor")
    codeformer_model.setup_model(cmd_opts.codeformer_models_path)
    startup_timer.record("setup codeformer")

    from modules import gfpgan_model
    gfpgan_model.setup_model(cmd_opts.gfpgan_models_path)
    startup_timer.record("setup gfpgan")

    initialize_rest(reload_script_modules=False)


def initialize_rest(*, reload_script_modules=False):
    """
    Called both from initialize() and when reloading the webui.
    """
    from modules.shared_cmd_options import cmd_opts

    from modules import sd_samplers
    sd_samplers.set_samplers()
    startup_timer.record("set samplers")

    from modules import extensions
    extensions.list_extensions()
    startup_timer.record("list extensions")

    from modules import initialize_util
    initialize_util.restore_config_state_file()
    startup_timer.record("restore config state file")

    from modules import shared, upscaler, scripts
    if cmd_opts.ui_debug_mode:
        shared.sd_upscalers = upscaler.UpscalerLanczos().scalers
        scripts.load_scripts()
        return

    from modules import sd_models
    sd_models.list_models()
    startup_timer.record("list SD models")

    from modules import localization
    localization.list_localizations(cmd_opts.localizations_dir)
    startup_timer.record("list localizations")

    with startup_timer.subcategory("load scripts"):
        scripts.load_scripts()

    if reload_script_modules and shared.opts.enable_reloading_ui_scripts:
        for module in [module for name, module in sys.modules.items() if name.startswith("modules.ui")]:
            importlib.reload(module)
        startup_timer.record("reload script modules")

    from modules import modelloader
    modelloader.load_upscalers()
    startup_timer.record("load upscalers")

    from modules import sd_vae
    sd_vae.refresh_vae_list()
    startup_timer.record("refresh VAE")

    from modules import textual_inversion
    textual_inversion.textual_inversion.list_textual_inversion_templates()
    startup_timer.record("refresh textual inversion templates")

    from modules import script_callbacks, sd_hijack_optimizations, sd_hijack
    script_callbacks.on_list_optimizers(sd_hijack_optimizations.list_optimizers)
    sd_hijack.list_optimizers()
    startup_timer.record("scripts list_optimizers")

    from modules import sd_unet
    sd_unet.list_unets()
    startup_timer.record("scripts list_unets")

    def load_model():
        """
        Accesses shared.sd_model property to load model.
        After it's available, if it has been loaded before this access by some extension,
        its optimization may be None because the list of optimizers has not been filled
        by that time, so we apply optimization again.
        """
        from modules import devices
        devices.torch_npu_set_device()

        shared.sd_model  # noqa: B018

        if sd_hijack.current_optimizer is None:
            sd_hijack.apply_optimizations()

        devices.first_time_calculation()
    if not shared.cmd_opts.skip_load_model_at_start:
        Thread(target=load_model).start()

    from modules import shared_items
    shared_items.reload_hypernetworks()
    startup_timer.record("reload hypernetworks")

    from modules import ui_extra_networks
    ui_extra_networks.initialize()
    ui_extra_networks.register_default_pages()

    from modules import extra_networks
    extra_networks.initialize()
    extra_networks.register_default_extra_networks()
    startup_timer.record("initialize extra networks")
