chore: import upstream snapshot with attribution
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from abc import ABC, abstractmethod
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from typing import Optional, Union
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from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput
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from invokeai.app.services.invocation_cache.invocation_cache_common import InvocationCacheStatus
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class InvocationCacheBase(ABC):
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"""
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Base class for invocation caches.
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When an invocation is executed, it is hashed and its output stored in the cache.
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When new invocations are executed, if they are flagged with `use_cache`, they
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will attempt to pull their value from the cache before executing.
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Implementations should register for the `on_deleted` event of the `images` and `latents`
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services, and delete any cached outputs that reference the deleted image or latent.
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See the memory implementation for an example.
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Implementations should respect the `node_cache_size` configuration value, and skip all
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cache logic if the value is set to 0.
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"""
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@abstractmethod
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def get(self, key: Union[int, str]) -> Optional[BaseInvocationOutput]:
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"""Retrieves an invocation output from the cache"""
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pass
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@abstractmethod
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def save(self, key: Union[int, str], invocation_output: BaseInvocationOutput) -> None:
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"""Stores an invocation output in the cache"""
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pass
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@abstractmethod
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def delete(self, key: Union[int, str]) -> None:
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"""Deletes an invocation output from the cache"""
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pass
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@abstractmethod
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def clear(self) -> None:
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"""Clears the cache"""
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pass
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@staticmethod
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@abstractmethod
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def create_key(invocation: BaseInvocation) -> int:
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"""Gets the key for the invocation's cache item"""
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pass
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@abstractmethod
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def disable(self) -> None:
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"""Disables the cache, overriding the max cache size"""
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pass
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@abstractmethod
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def enable(self) -> None:
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"""Enables the cache, letting the the max cache size take effect"""
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pass
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@abstractmethod
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def get_status(self) -> InvocationCacheStatus:
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"""Returns the status of the cache"""
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pass
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