import os import json import yaml import shutil import tarfile import logging import requests import configparser import comfy.utils import folder_paths from aiohttp import web from typing import Any from . import config def normalize_path(path: str): normpath = os.path.normpath(path) return normpath.replace(os.path.sep, "/") def join_path(path: str, *paths: list[str]): return normalize_path(os.path.join(path, *paths)) def get_current_version(): try: pyproject_path = join_path(config.extension_uri, "pyproject.toml") config_parser = configparser.ConfigParser() config_parser.read(pyproject_path) version = config_parser.get("project", "version") return version.strip("'\"") except: return "0.0.0" def download_web_distribution(version: str): web_path = join_path(config.extension_uri, "web") dev_web_file = join_path(web_path, "manager-dev.js") if os.path.exists(dev_web_file): return web_version = "0.0.0" version_file = join_path(web_path, "version.yaml") if os.path.exists(version_file): with open(version_file, "r", encoding="utf-8", newline="") as f: version_content = yaml.safe_load(f) web_version = version_content.get("version", web_version) if version == web_version: return try: logging.info(f"current version {version}, web version {web_version}") logging.info("Downloading web distribution...") download_url = f"https://github.com/hayden-fr/ComfyUI-Model-Manager/releases/download/v{version}/dist.tar.gz" response = requests.get(download_url, stream=True) response.raise_for_status() temp_file = join_path(config.extension_uri, "temp.tar.gz") with open(temp_file, "wb") as f: for chunk in response.iter_content(chunk_size=8192): f.write(chunk) if os.path.exists(web_path): shutil.rmtree(web_path) logging.info("Extracting web distribution...") with tarfile.open(temp_file, "r:gz") as tar: members = [ member for member in tar.getmembers() if member.name.startswith("web/") ] tar.extractall(path=config.extension_uri, members=members) os.remove(temp_file) logging.info("Web distribution downloaded successfully.") except requests.exceptions.RequestException as e: logging.error(f"Failed to download web distribution: {e}") except tarfile.TarError as e: logging.error(f"Failed to extract web distribution: {e}") except Exception as e: logging.error(f"An unexpected error occurred: {e}") def resolve_model_base_paths(): folders = list(folder_paths.folder_names_and_paths.keys()) config.model_base_paths = {} for folder in folders: if folder == "configs": continue if folder == "custom_nodes": continue folders = folder_paths.get_folder_paths(folder) config.model_base_paths[folder] = [normalize_path(f) for f in folders] def get_full_path(model_type: str, path_index: int, filename: str): """ Get the absolute path in the model type through string concatenation. """ folders = config.model_base_paths.get(model_type, []) if not path_index < len(folders): raise RuntimeError(f"PathIndex {path_index} is not in {model_type}") base_path = folders[path_index] full_path = join_path(base_path, filename) return full_path def get_valid_full_path(model_type: str, path_index: int, filename: str): """ Like get_full_path but it will check whether the file is valid. """ folders = config.model_base_paths.get(model_type, []) if not path_index < len(folders): raise RuntimeError(f"PathIndex {path_index} is not in {model_type}") base_path = folders[path_index] full_path = join_path(base_path, filename) if os.path.isfile(full_path): return full_path elif os.path.islink(full_path): raise RuntimeError( f"WARNING path {full_path} exists but doesn't link anywhere, skipping." ) def get_download_path(): download_path = join_path(config.extension_uri, "downloads") if not os.path.exists(download_path): os.makedirs(download_path) return download_path def recursive_search_files(directory: str): files, folder_all = folder_paths.recursive_search( directory, excluded_dir_names=[".git"] ) return [normalize_path(f) for f in files] def search_files(directory: str): entries = os.listdir(directory) files = [f for f in entries if os.path.isfile(join_path(directory, f))] return files def file_list_to_name_dict(files: list[str]): file_dict: dict[str, str] = {} for file in files: filename = os.path.splitext(file)[0] file_dict[filename] = file return file_dict def get_model_metadata(filename: str): if not filename.endswith(".safetensors"): return {} try: out = comfy.utils.safetensors_header(filename, max_size=1024 * 1024) if out is None: return {} dt = json.loads(out) if not "__metadata__" in dt: return {} return dt["__metadata__"] except: return {} def get_model_all_images(model_path: str): base_dirname = os.path.dirname(model_path) files = search_files(base_dirname) files = folder_paths.filter_files_content_types(files, ["image"]) basename = os.path.splitext(os.path.basename(model_path))[0] output: list[str] = [] for file in files: file_basename = os.path.splitext(file)[0] if file_basename == basename: output.append(file) if file_basename == f"{basename}.preview": output.append(file) return output def get_model_preview_name(model_path: str): images = get_model_all_images(model_path) return images[0] if len(images) > 0 else "no-preview.png" def save_model_preview_image(model_path: str, image_file: Any): if not isinstance(image_file, web.FileField): raise RuntimeError("Invalid image file") content_type: str = image_file.content_type if not content_type.startswith("image/"): raise RuntimeError(f"FileTypeError: expected image, got {content_type}") base_dirname = os.path.dirname(model_path) # remove old preview images old_preview_images = get_model_all_images(model_path) a1111_civitai_helper_image = False for image in old_preview_images: if os.path.splitext(image)[1].endswith(".preview"): a1111_civitai_helper_image = True image_path = join_path(base_dirname, image) os.remove(image_path) # save new preview image basename = os.path.splitext(os.path.basename(model_path))[0] extension = f".{content_type.split('/')[1]}" new_preview_path = join_path(base_dirname, f"{basename}{extension}") with open(new_preview_path, "wb") as f: f.write(image_file.file.read()) # TODO Is it possible to abandon the current rules and adopt the rules of a1111 civitai_helper? if a1111_civitai_helper_image: """ Keep preview image of a1111_civitai_helper """ new_preview_path = join_path(base_dirname, f"{basename}.preview{extension}") with open(new_preview_path, "wb") as f: f.write(image_file.file.read()) def get_model_all_descriptions(model_path: str): base_dirname = os.path.dirname(model_path) files = search_files(base_dirname) files = folder_paths.filter_files_extensions(files, [".txt", ".md"]) basename = os.path.splitext(os.path.basename(model_path))[0] output: list[str] = [] for file in files: file_basename = os.path.splitext(file)[0] if file_basename == basename: output.append(file) return output def get_model_description_name(model_path: str): descriptions = get_model_all_descriptions(model_path) basename = os.path.splitext(os.path.basename(model_path))[0] return descriptions[0] if len(descriptions) > 0 else f"{basename}.md" def save_model_description(model_path: str, content: Any): if not isinstance(content, str): raise RuntimeError("Invalid description") base_dirname = os.path.dirname(model_path) # remove old descriptions old_descriptions = get_model_all_descriptions(model_path) for desc in old_descriptions: description_path = join_path(base_dirname, desc) os.remove(description_path) # save new description basename = os.path.splitext(os.path.basename(model_path))[0] extension = ".md" new_desc_path = join_path(base_dirname, f"{basename}{extension}") with open(new_desc_path, "w", encoding="utf-8", newline="") as f: f.write(content) def rename_model(model_path: str, new_model_path: str): if model_path == new_model_path: return if os.path.exists(new_model_path): raise RuntimeError(f"Model {new_model_path} already exists") model_name = os.path.splitext(os.path.basename(model_path))[0] new_model_name = os.path.splitext(os.path.basename(new_model_path))[0] model_dirname = os.path.dirname(model_path) new_model_dirname = os.path.dirname(new_model_path) if not os.path.exists(new_model_dirname): os.makedirs(new_model_dirname) # move model shutil.move(model_path, new_model_path) # move preview previews = get_model_all_images(model_path) for preview in previews: preview_path = join_path(model_dirname, preview) preview_name = os.path.splitext(preview)[0] preview_ext = os.path.splitext(preview)[1] new_preview_path = ( join_path(new_model_dirname, new_model_name + preview_ext) if preview_name == model_name else join_path(new_model_dirname, new_model_name + ".preview" + preview_ext) ) shutil.move(preview_path, new_preview_path) # move description description = get_model_description_name(model_path) description_path = join_path(model_dirname, description) if os.path.isfile(description_path): new_description_path = join_path(new_model_dirname, f"{new_model_name}.md") shutil.move(description_path, new_description_path) import pickle def save_dict_pickle_file(filename: str, data: dict): with open(filename, "wb") as f: pickle.dump(data, f) def load_dict_pickle_file(filename: str) -> dict: with open(filename, "rb") as f: data = pickle.load(f) return data def resolve_setting_key(key: str) -> str: key_paths = key.split(".") setting_id = config.setting_key try: for key_path in key_paths: setting_id = setting_id[key_path] except: pass if not isinstance(setting_id, str): raise RuntimeError(f"Invalid key: {key}") return setting_id def set_setting_value(key: str, value: Any): setting_id = resolve_setting_key(key) fake_request = config.FakeRequest() settings = config.serverInstance.user_manager.settings.get_settings(fake_request) settings[setting_id] = value config.serverInstance.user_manager.settings.save_settings(fake_request, settings) def get_setting_value(key: str, default: Any = None) -> Any: setting_id = resolve_setting_key(key) fake_request = config.FakeRequest() settings = config.serverInstance.user_manager.settings.get_settings(fake_request) return settings.get(setting_id, default) from dataclasses import asdict, is_dataclass def unpack_dataclass(data: Any): if isinstance(data, dict): return {key: unpack_dataclass(value) for key, value in data.items()} elif isinstance(data, list): return [unpack_dataclass(x) for x in data] elif is_dataclass(data): return asdict(data) else: return data