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https://github.com/invoke-ai/InvokeAI
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72 lines
2.2 KiB
Python
72 lines
2.2 KiB
Python
# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
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import time
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from abc import ABC, abstractmethod
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from queue import Queue
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from pydantic import BaseModel, Field
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from typing import Optional
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class InvocationQueueItem(BaseModel):
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graph_execution_state_id: str = Field(description="The ID of the graph execution state")
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invocation_id: str = Field(description="The ID of the node being invoked")
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invoke_all: bool = Field(default=False)
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timestamp: float = Field(default_factory=time.time)
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class InvocationQueueABC(ABC):
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"""Abstract base class for all invocation queues"""
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@abstractmethod
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def get(self) -> InvocationQueueItem:
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pass
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@abstractmethod
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def put(self, item: Optional[InvocationQueueItem]) -> None:
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pass
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@abstractmethod
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def cancel(self, graph_execution_state_id: str) -> None:
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pass
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@abstractmethod
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def is_canceled(self, graph_execution_state_id: str) -> bool:
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pass
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class MemoryInvocationQueue(InvocationQueueABC):
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__queue: Queue
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__cancellations: dict[str, float]
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def __init__(self):
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self.__queue = Queue()
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self.__cancellations = dict()
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def get(self) -> InvocationQueueItem:
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item = self.__queue.get()
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while (
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isinstance(item, InvocationQueueItem)
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and item.graph_execution_state_id in self.__cancellations
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and self.__cancellations[item.graph_execution_state_id] > item.timestamp
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):
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item = self.__queue.get()
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# Clear old items
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for graph_execution_state_id in list(self.__cancellations.keys()):
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if self.__cancellations[graph_execution_state_id] < item.timestamp:
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del self.__cancellations[graph_execution_state_id]
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return item
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def put(self, item: Optional[InvocationQueueItem]) -> None:
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self.__queue.put(item)
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def cancel(self, graph_execution_state_id: str) -> None:
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if graph_execution_state_id not in self.__cancellations:
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self.__cancellations[graph_execution_state_id] = time.time()
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def is_canceled(self, graph_execution_state_id: str) -> bool:
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return graph_execution_state_id in self.__cancellations
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