import os
import sys
import time
import importlib
import signal
import re
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.middleware.gzip import GZipMiddleware
from packaging import version

import logging
logging.getLogger("xformers").addFilter(lambda record: 'A matching Triton is not available' not in record.getMessage())

from modules import import_hook, errors, extra_networks, ui_extra_networks_checkpoints
from modules import extra_networks_hypernet, ui_extra_networks_hypernets, ui_extra_networks_textual_inversion
from modules.call_queue import wrap_queued_call, queue_lock, wrap_gradio_gpu_call

import torch

# Truncate version number of nightly/local build of PyTorch to not cause exceptions with CodeFormer or Safetensors
if ".dev" in torch.__version__ or "+git" in torch.__version__:
    torch.__long_version__ = torch.__version__
    torch.__version__ = re.search(r'[\d.]+[\d]', torch.__version__).group(0)

from modules import shared, devices, sd_samplers, upscaler, extensions, localization, ui_tempdir, ui_extra_networks
import modules.codeformer_model as codeformer
import modules.face_restoration
import modules.gfpgan_model as gfpgan
import modules.img2img

import modules.lowvram
import modules.paths
import modules.scripts
import modules.sd_hijack
import modules.sd_models
import modules.sd_vae
import modules.txt2img
import modules.script_callbacks
import modules.textual_inversion.textual_inversion
import modules.progress

import modules.ui
from modules import modelloader
from modules.shared import cmd_opts
import modules.hypernetworks.hypernetwork


if cmd_opts.server_name:
    server_name = cmd_opts.server_name
else:
    server_name = "0.0.0.0" if cmd_opts.listen else None


def check_versions():
    if shared.cmd_opts.skip_version_check:
        return

    expected_torch_version = "1.13.1"

    if version.parse(torch.__version__) < version.parse(expected_torch_version):
        errors.print_error_explanation(f"""
You are running torch {torch.__version__}.
The program is tested to work with torch {expected_torch_version}.
To reinstall the desired version, run with commandline flag --reinstall-torch.
Beware that this will cause a lot of large files to be downloaded, as well as
there are reports of issues with training tab on the latest version.

Use --skip-version-check commandline argument to disable this check.
        """.strip())

    expected_xformers_version = "0.0.16rc425"
    if shared.xformers_available:
        import xformers

        if version.parse(xformers.__version__) < version.parse(expected_xformers_version):
            errors.print_error_explanation(f"""
You are running xformers {xformers.__version__}.
The program is tested to work with xformers {expected_xformers_version}.
To reinstall the desired version, run with commandline flag --reinstall-xformers.

Use --skip-version-check commandline argument to disable this check.
            """.strip())


def initialize():
    check_versions()

    extensions.list_extensions()
    localization.list_localizations(cmd_opts.localizations_dir)

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

    modelloader.cleanup_models()
    modules.sd_models.setup_model()
    codeformer.setup_model(cmd_opts.codeformer_models_path)
    gfpgan.setup_model(cmd_opts.gfpgan_models_path)

    modelloader.list_builtin_upscalers()
    modules.scripts.load_scripts()
    modelloader.load_upscalers()

    modules.sd_vae.refresh_vae_list()

    modules.textual_inversion.textual_inversion.list_textual_inversion_templates()

    try:
        modules.sd_models.load_model()
    except Exception as e:
        errors.display(e, "loading stable diffusion model")
        print("", file=sys.stderr)
        print("Stable diffusion model failed to load, exiting", file=sys.stderr)
        exit(1)

    shared.opts.data["sd_model_checkpoint"] = shared.sd_model.sd_checkpoint_info.title

    shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights()))
    shared.opts.onchange("sd_vae", wrap_queued_call(lambda: modules.sd_vae.reload_vae_weights()), call=False)
    shared.opts.onchange("sd_vae_as_default", wrap_queued_call(lambda: modules.sd_vae.reload_vae_weights()), call=False)
    shared.opts.onchange("temp_dir", ui_tempdir.on_tmpdir_changed)

    shared.reload_hypernetworks()

    ui_extra_networks.intialize()
    ui_extra_networks.register_page(ui_extra_networks_textual_inversion.ExtraNetworksPageTextualInversion())
    ui_extra_networks.register_page(ui_extra_networks_hypernets.ExtraNetworksPageHypernetworks())
    ui_extra_networks.register_page(ui_extra_networks_checkpoints.ExtraNetworksPageCheckpoints())

    extra_networks.initialize()
    extra_networks.register_extra_network(extra_networks_hypernet.ExtraNetworkHypernet())

    if cmd_opts.tls_keyfile is not None and cmd_opts.tls_keyfile is not None:

        try:
            if not os.path.exists(cmd_opts.tls_keyfile):
                print("Invalid path to TLS keyfile given")
            if not os.path.exists(cmd_opts.tls_certfile):
                print(f"Invalid path to TLS certfile: '{cmd_opts.tls_certfile}'")
        except TypeError:
            cmd_opts.tls_keyfile = cmd_opts.tls_certfile = None
            print("TLS setup invalid, running webui without TLS")
        else:
            print("Running with TLS")

    # make the program just exit at ctrl+c without waiting for anything
    def sigint_handler(sig, frame):
        print(f'Interrupted with signal {sig} in {frame}')
        os._exit(0)

    signal.signal(signal.SIGINT, sigint_handler)


def setup_cors(app):
    if cmd_opts.cors_allow_origins and cmd_opts.cors_allow_origins_regex:
        app.add_middleware(CORSMiddleware, allow_origins=cmd_opts.cors_allow_origins.split(','), allow_origin_regex=cmd_opts.cors_allow_origins_regex, allow_methods=['*'], allow_credentials=True, allow_headers=['*'])
    elif cmd_opts.cors_allow_origins:
        app.add_middleware(CORSMiddleware, allow_origins=cmd_opts.cors_allow_origins.split(','), allow_methods=['*'], allow_credentials=True, allow_headers=['*'])
    elif cmd_opts.cors_allow_origins_regex:
        app.add_middleware(CORSMiddleware, allow_origin_regex=cmd_opts.cors_allow_origins_regex, allow_methods=['*'], allow_credentials=True, allow_headers=['*'])


def create_api(app):
    from modules.api.api import Api
    api = Api(app, queue_lock)
    return api


def wait_on_server(demo=None):
    while 1:
        time.sleep(0.5)
        if shared.state.need_restart:
            shared.state.need_restart = False
            time.sleep(0.5)
            demo.close()
            time.sleep(0.5)
            break


def api_only():
    initialize()

    app = FastAPI()
    setup_cors(app)
    app.add_middleware(GZipMiddleware, minimum_size=1000)
    api = create_api(app)

    modules.script_callbacks.app_started_callback(None, app)

    api.launch(server_name="0.0.0.0" if cmd_opts.listen else "127.0.0.1", port=cmd_opts.port if cmd_opts.port else 7861)


def webui():
    launch_api = cmd_opts.api
    initialize()

    while 1:
        if shared.opts.clean_temp_dir_at_start:
            ui_tempdir.cleanup_tmpdr()

        modules.script_callbacks.before_ui_callback()

        shared.demo = modules.ui.create_ui()

        if cmd_opts.gradio_queue:
            shared.demo.queue(64)

        gradio_auth_creds = []
        if cmd_opts.gradio_auth:
            gradio_auth_creds += cmd_opts.gradio_auth.strip('"').replace('\n', '').split(',')
        if cmd_opts.gradio_auth_path:
            with open(cmd_opts.gradio_auth_path, 'r', encoding="utf8") as file:
                for line in file.readlines():
                    gradio_auth_creds += [x.strip() for x in line.split(',')]

        app, local_url, share_url = shared.demo.launch(
            share=cmd_opts.share,
            server_name=server_name,
            server_port=cmd_opts.port,
            ssl_keyfile=cmd_opts.tls_keyfile,
            ssl_certfile=cmd_opts.tls_certfile,
            debug=cmd_opts.gradio_debug,
            auth=[tuple(cred.split(':')) for cred in gradio_auth_creds] if gradio_auth_creds else None,
            inbrowser=cmd_opts.autolaunch,
            prevent_thread_lock=True
        )
        # after initial launch, disable --autolaunch for subsequent restarts
        cmd_opts.autolaunch = False

        # gradio uses a very open CORS policy via app.user_middleware, which makes it possible for
        # an attacker to trick the user into opening a malicious HTML page, which makes a request to the
        # running web ui and do whatever the attacker wants, including installing an extension and
        # running its code. We disable this here. Suggested by RyotaK.
        app.user_middleware = [x for x in app.user_middleware if x.cls.__name__ != 'CORSMiddleware']

        setup_cors(app)

        app.add_middleware(GZipMiddleware, minimum_size=1000)

        modules.progress.setup_progress_api(app)

        if launch_api:
            create_api(app)

        ui_extra_networks.add_pages_to_demo(app)

        modules.script_callbacks.app_started_callback(shared.demo, app)

        wait_on_server(shared.demo)
        print('Restarting UI...')

        sd_samplers.set_samplers()

        modules.script_callbacks.script_unloaded_callback()
        extensions.list_extensions()

        localization.list_localizations(cmd_opts.localizations_dir)

        modelloader.forbid_loaded_nonbuiltin_upscalers()
        modules.scripts.reload_scripts()
        modules.script_callbacks.model_loaded_callback(shared.sd_model)
        modelloader.load_upscalers()

        for module in [module for name, module in sys.modules.items() if name.startswith("modules.ui")]:
            importlib.reload(module)

        modules.sd_models.list_models()

        shared.reload_hypernetworks()

        ui_extra_networks.intialize()
        ui_extra_networks.register_page(ui_extra_networks_textual_inversion.ExtraNetworksPageTextualInversion())
        ui_extra_networks.register_page(ui_extra_networks_hypernets.ExtraNetworksPageHypernetworks())
        ui_extra_networks.register_page(ui_extra_networks_checkpoints.ExtraNetworksPageCheckpoints())

        extra_networks.initialize()
        extra_networks.register_extra_network(extra_networks_hypernet.ExtraNetworkHypernet())


if __name__ == "__main__":
    if cmd_opts.nowebui:
        api_only()
    else:
        webui()