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https://github.com/invoke-ai/InvokeAI
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feat(nodes): support custom exception in ephemeral disk storage
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parent
723009e163
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614f0e8086
@ -1,12 +1,12 @@
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import typing
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from pathlib import Path
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from typing import Optional, TypeVar
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from typing import Optional, Type, TypeVar
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import torch
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from invokeai.app.services.invoker import Invoker
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from invokeai.app.services.item_storage.item_storage_base import ItemStorageABC
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from invokeai.app.services.item_storage.item_storage_common import LoadFunc, SaveFunc
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from invokeai.app.services.item_storage.item_storage_common import ItemNotFoundError, LoadFunc, SaveFunc
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from invokeai.app.util.misc import uuid_string
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T = TypeVar("T")
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@ -18,6 +18,7 @@ class ItemStorageEphemeralDisk(ItemStorageABC[T]):
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:param output_folder: The folder where the items will be stored
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:param save: The function to use to save the items to disk [torch.save]
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:param load: The function to use to load the items from disk [torch.load]
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:param load_exc: The exception that is raised when an item is not found [FileNotFoundError]
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"""
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def __init__(
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@ -25,12 +26,14 @@ class ItemStorageEphemeralDisk(ItemStorageABC[T]):
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output_folder: Path,
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save: SaveFunc[T] = torch.save, # pyright: ignore [reportUnknownMemberType]
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load: LoadFunc[T] = torch.load, # pyright: ignore [reportUnknownMemberType]
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load_exc: Type[Exception] = FileNotFoundError,
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):
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super().__init__()
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self._output_folder = output_folder
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self._output_folder.mkdir(parents=True, exist_ok=True)
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self._save = save
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self._load = load
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self._load_exc = load_exc
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self.__item_class_name: Optional[str] = None
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@property
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@ -46,7 +49,10 @@ class ItemStorageEphemeralDisk(ItemStorageABC[T]):
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def get(self, item_id: str) -> T:
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file_path = self._get_path(item_id)
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return self._load(file_path)
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try:
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return self._load(file_path)
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except self._load_exc as e:
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raise ItemNotFoundError(item_id) from e
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def set(self, item: T) -> str:
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self._output_folder.mkdir(parents=True, exist_ok=True)
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