mirror of
https://github.com/invoke-ai/InvokeAI
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79 lines
2.5 KiB
Python
79 lines
2.5 KiB
Python
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# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
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from typing import Any, Dict
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class EventServiceBase:
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session_event: str = 'session_event'
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"""Basic event bus, to have an empty stand-in when not needed"""
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def dispatch(self, event_name: str, payload: Any) -> None:
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pass
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def __emit_session_event(self,
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event_name: str,
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payload: Dict) -> None:
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self.dispatch(
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event_name = EventServiceBase.session_event,
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payload = dict(
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event = event_name,
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data = payload
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)
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)
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# Define events here for every event in the system.
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# This will make them easier to integrate until we find a schema generator.
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def emit_generator_progress(self,
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graph_execution_state_id: str,
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invocation_id: str,
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step: int,
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percent: float
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) -> None:
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"""Emitted when there is generation progress"""
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self.__emit_session_event(
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event_name = 'generator_progress',
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payload = dict(
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graph_execution_state_id = graph_execution_state_id,
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invocation_id = invocation_id,
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step = step,
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percent = percent
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)
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)
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def emit_invocation_complete(self,
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graph_execution_state_id: str,
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invocation_id: str,
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result: Dict
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) -> None:
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"""Emitted when an invocation has completed"""
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self.__emit_session_event(
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event_name = 'invocation_complete',
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payload = dict(
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graph_execution_state_id = graph_execution_state_id,
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invocation_id = invocation_id,
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result = result
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)
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)
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def emit_invocation_started(self,
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graph_execution_state_id: str,
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invocation_id: str
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) -> None:
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"""Emitted when an invocation has started"""
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self.__emit_session_event(
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event_name = 'invocation_started',
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payload = dict(
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graph_execution_state_id = graph_execution_state_id,
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invocation_id = invocation_id
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)
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)
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def emit_graph_execution_complete(self, graph_execution_state_id: str) -> None:
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"""Emitted when a session has completed all invocations"""
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self.__emit_session_event(
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event_name = 'graph_execution_state_complete',
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payload = dict(
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graph_execution_state_id = graph_execution_state_id
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)
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)
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