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