Files
InvokeAI/invokeai/app/services/image_files/image_files_disk.py
2024-10-18 14:27:41 +11:00

170 lines
6.4 KiB
Python

# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654) and the InvokeAI Team
from pathlib import Path
from queue import Queue
from typing import Optional, Union
from PIL import Image, PngImagePlugin
from PIL.Image import Image as PILImageType
from invokeai.app.services.image_files.image_files_base import ImageFileStorageBase
from invokeai.app.services.image_files.image_files_common import (
ImageFileDeleteException,
ImageFileNotFoundException,
ImageFileSaveException,
)
from invokeai.app.services.invoker import Invoker
from invokeai.app.util.thumbnails import get_thumbnail_name, make_thumbnail
class DiskImageFileStorage(ImageFileStorageBase):
"""Stores images on disk"""
def __init__(self, output_folder: Union[str, Path]):
self.__cache: dict[Path, PILImageType] = {}
self.__cache_ids = Queue[Path]()
self.__max_cache_size = 10 # TODO: get this from config
self.__output_folder = output_folder if isinstance(output_folder, Path) else Path(output_folder)
self.__thumbnails_folder = self.__output_folder / "thumbnails"
# Validate required output folders at launch
self.__validate_storage_folders()
def start(self, invoker: Invoker) -> None:
self.__invoker = invoker
def get(self, image_name: str) -> PILImageType:
try:
image_path = self.get_path(image_name)
cache_item = self.__get_cache(image_path)
if cache_item:
return cache_item
image = Image.open(image_path)
self.__set_cache(image_path, image)
return image
except FileNotFoundError as e:
raise ImageFileNotFoundException from e
def save(
self,
image: PILImageType,
image_name: str,
metadata: Optional[str] = None,
workflow: Optional[str] = None,
graph: Optional[str] = None,
thumbnail_size: int = 256,
) -> None:
try:
self.__validate_storage_folders()
image_path = self.get_path(image_name)
pnginfo = PngImagePlugin.PngInfo()
info_dict = {}
if metadata is not None:
info_dict["invokeai_metadata"] = metadata
pnginfo.add_text("invokeai_metadata", metadata)
if workflow is not None:
info_dict["invokeai_workflow"] = workflow
pnginfo.add_text("invokeai_workflow", workflow)
if graph is not None:
info_dict["invokeai_graph"] = graph
pnginfo.add_text("invokeai_graph", graph)
# When saving the image, the image object's info field is not populated. We need to set it
image.info = info_dict
image.save(
image_path,
"PNG",
pnginfo=pnginfo,
compress_level=self.__invoker.services.configuration.pil_compress_level,
)
thumbnail_name = get_thumbnail_name(image_name)
thumbnail_path = self.get_path(thumbnail_name, thumbnail=True)
thumbnail_image = make_thumbnail(image, thumbnail_size)
thumbnail_image.save(thumbnail_path)
self.__set_cache(image_path, image)
self.__set_cache(thumbnail_path, thumbnail_image)
except Exception as e:
raise ImageFileSaveException from e
def delete(self, image_name: str) -> None:
try:
image_path = self.get_path(image_name)
if image_path.exists():
image_path.unlink()
if image_path in self.__cache:
del self.__cache[image_path]
thumbnail_name = get_thumbnail_name(image_name)
thumbnail_path = self.get_path(thumbnail_name, True)
if thumbnail_path.exists():
thumbnail_path.unlink()
if thumbnail_path in self.__cache:
del self.__cache[thumbnail_path]
except Exception as e:
raise ImageFileDeleteException from e
def get_path(self, image_name: str, thumbnail: bool = False) -> Path:
base_folder = self.__thumbnails_folder if thumbnail else self.__output_folder
filename = get_thumbnail_name(image_name) if thumbnail else image_name
# Strip any path information from the filename
basename = Path(filename).name
if basename != filename:
raise ValueError("Invalid image name, potential directory traversal detected")
image_path = base_folder / basename
# Ensure the image path is within the base folder to prevent directory traversal
resolved_base = base_folder.resolve()
resolved_image_path = image_path.resolve()
if not resolved_image_path.is_relative_to(resolved_base):
raise ValueError("Image path outside outputs folder, potential directory traversal detected")
return resolved_image_path
def validate_path(self, path: Union[str, Path]) -> bool:
"""Validates the path given for an image or thumbnail."""
path = path if isinstance(path, Path) else Path(path)
return path.exists()
def get_workflow(self, image_name: str) -> str | None:
image = self.get(image_name)
workflow = image.info.get("invokeai_workflow", None)
if isinstance(workflow, str):
return workflow
return None
def get_graph(self, image_name: str) -> str | None:
image = self.get(image_name)
graph = image.info.get("invokeai_graph", None)
if isinstance(graph, str):
return graph
return None
def __validate_storage_folders(self) -> None:
"""Checks if the required output folders exist and create them if they don't"""
folders: list[Path] = [self.__output_folder, self.__thumbnails_folder]
for folder in folders:
folder.mkdir(parents=True, exist_ok=True)
def __get_cache(self, image_name: Path) -> Optional[PILImageType]:
return None if image_name not in self.__cache else self.__cache[image_name]
def __set_cache(self, image_name: Path, image: PILImageType):
if image_name not in self.__cache:
self.__cache[image_name] = image
self.__cache_ids.put(image_name) # TODO: this should refresh position for LRU cache
if len(self.__cache) > self.__max_cache_size:
cache_id = self.__cache_ids.get()
if cache_id in self.__cache:
del self.__cache[cache_id]