InvokeAI/invokeai/app/services/image_file_storage.py
psychedelicious ae05d34584 fix(nodes): fix uploading image metadata retention
was causing failure to save images
2023-08-30 14:52:50 +10:00

200 lines
7.2 KiB
Python

# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654) and the InvokeAI Team
import json
from abc import ABC, abstractmethod
from pathlib import Path
from queue import Queue
from typing import Dict, Optional, Union
from PIL import Image, PngImagePlugin
from PIL.Image import Image as PILImageType
from send2trash import send2trash
from invokeai.app.util.thumbnails import get_thumbnail_name, make_thumbnail
# TODO: Should these excpetions subclass existing python exceptions?
class ImageFileNotFoundException(Exception):
"""Raised when an image file is not found in storage."""
def __init__(self, message="Image file not found"):
super().__init__(message)
class ImageFileSaveException(Exception):
"""Raised when an image cannot be saved."""
def __init__(self, message="Image file not saved"):
super().__init__(message)
class ImageFileDeleteException(Exception):
"""Raised when an image cannot be deleted."""
def __init__(self, message="Image file not deleted"):
super().__init__(message)
class ImageFileStorageBase(ABC):
"""Low-level service responsible for storing and retrieving image files."""
@abstractmethod
def get(self, image_name: str) -> PILImageType:
"""Retrieves an image as PIL Image."""
pass
@abstractmethod
def get_path(self, image_name: str, thumbnail: bool = False) -> str:
"""Gets the internal path to an image or thumbnail."""
pass
# TODO: We need to validate paths before starlette makes the FileResponse, else we get a
# 500 internal server error. I don't like having this method on the service.
@abstractmethod
def validate_path(self, path: str) -> bool:
"""Validates the path given for an image or thumbnail."""
pass
@abstractmethod
def save(
self,
image: PILImageType,
image_name: str,
metadata: Optional[dict] = None,
workflow: Optional[str] = None,
thumbnail_size: int = 256,
) -> None:
"""Saves an image and a 256x256 WEBP thumbnail. Returns a tuple of the image name, thumbnail name, and created timestamp."""
pass
@abstractmethod
def delete(self, image_name: str) -> None:
"""Deletes an image and its thumbnail (if one exists)."""
pass
class DiskImageFileStorage(ImageFileStorageBase):
"""Stores images on disk"""
__output_folder: Path
__cache_ids: Queue # TODO: this is an incredibly naive cache
__cache: Dict[Path, PILImageType]
__max_cache_size: int
def __init__(self, output_folder: Union[str, Path]):
self.__cache = dict()
self.__cache_ids = Queue()
self.__max_cache_size = 10 # TODO: get this from config
self.__output_folder: Path = 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 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[dict] = None,
workflow: Optional[str] = None,
thumbnail_size: int = 256,
) -> None:
try:
self.__validate_storage_folders()
image_path = self.get_path(image_name)
pnginfo = PngImagePlugin.PngInfo()
if metadata is not None or workflow is not None:
if metadata is not None:
pnginfo.add_text("invokeai_metadata", json.dumps(metadata))
if workflow is not None:
pnginfo.add_text("invokeai_workflow", workflow)
else:
# For uploaded images, we want to retain metadata. PIL strips it on save; manually add it back
# TODO: retain non-invokeai metadata on save...
original_metadata = image.info.get("invokeai_metadata", None)
if original_metadata is not None:
pnginfo.add_text("invokeai_metadata", original_metadata)
original_workflow = image.info.get("invokeai_workflow", None)
if original_workflow is not None:
pnginfo.add_text("invokeai_workflow", original_workflow)
image.save(image_path, "PNG", pnginfo=pnginfo)
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():
send2trash(image_path)
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():
send2trash(thumbnail_path)
if thumbnail_path in self.__cache:
del self.__cache[thumbnail_path]
except Exception as e:
raise ImageFileDeleteException from e
# TODO: make this a bit more flexible for e.g. cloud storage
def get_path(self, image_name: str, thumbnail: bool = False) -> Path:
path = self.__output_folder / image_name
if thumbnail:
thumbnail_name = get_thumbnail_name(image_name)
path = self.__thumbnails_folder / thumbnail_name
return 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 __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]