mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
160267c71a
- Remove `ImageType` entirely, it is confusing - Create `ResourceOrigin`, may be `internal` or `external` - Revamp `ImageCategory`, may be `general`, `mask`, `control`, `user`, `other`. Expect to add more as time goes on - Update images `list` route to accept `include_categories` OR `exclude_categories` query parameters to afford finer-grained querying. All services are updated to accomodate this change. The new setup should account for our types of images, including the combinations we couldn't really handle until now: - Canvas init and masks - Canvas when saved-to-gallery or merged
104 lines
3.3 KiB
Python
104 lines
3.3 KiB
Python
# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
|
|
|
|
from typing import Any
|
|
from invokeai.app.models.image import ProgressImage
|
|
from invokeai.app.util.misc import get_timestamp
|
|
|
|
|
|
class EventServiceBase:
|
|
session_event: str = "session_event"
|
|
|
|
"""Basic event bus, to have an empty stand-in when not needed"""
|
|
|
|
def dispatch(self, event_name: str, payload: Any) -> None:
|
|
pass
|
|
|
|
def __emit_session_event(self, event_name: str, payload: dict) -> None:
|
|
payload["timestamp"] = get_timestamp()
|
|
self.dispatch(
|
|
event_name=EventServiceBase.session_event,
|
|
payload=dict(event=event_name, data=payload),
|
|
)
|
|
|
|
# Define events here for every event in the system.
|
|
# This will make them easier to integrate until we find a schema generator.
|
|
def emit_generator_progress(
|
|
self,
|
|
graph_execution_state_id: str,
|
|
node: dict,
|
|
source_node_id: str,
|
|
progress_image: ProgressImage | None,
|
|
step: int,
|
|
total_steps: int,
|
|
) -> None:
|
|
"""Emitted when there is generation progress"""
|
|
self.__emit_session_event(
|
|
event_name="generator_progress",
|
|
payload=dict(
|
|
graph_execution_state_id=graph_execution_state_id,
|
|
node=node,
|
|
source_node_id=source_node_id,
|
|
progress_image=progress_image.dict() if progress_image is not None else None,
|
|
step=step,
|
|
total_steps=total_steps,
|
|
),
|
|
)
|
|
|
|
def emit_invocation_complete(
|
|
self,
|
|
graph_execution_state_id: str,
|
|
result: dict,
|
|
node: dict,
|
|
source_node_id: str,
|
|
) -> None:
|
|
"""Emitted when an invocation has completed"""
|
|
self.__emit_session_event(
|
|
event_name="invocation_complete",
|
|
payload=dict(
|
|
graph_execution_state_id=graph_execution_state_id,
|
|
node=node,
|
|
source_node_id=source_node_id,
|
|
result=result,
|
|
),
|
|
)
|
|
|
|
def emit_invocation_error(
|
|
self,
|
|
graph_execution_state_id: str,
|
|
node: dict,
|
|
source_node_id: str,
|
|
error: str,
|
|
) -> None:
|
|
"""Emitted when an invocation has completed"""
|
|
self.__emit_session_event(
|
|
event_name="invocation_error",
|
|
payload=dict(
|
|
graph_execution_state_id=graph_execution_state_id,
|
|
node=node,
|
|
source_node_id=source_node_id,
|
|
error=error,
|
|
),
|
|
)
|
|
|
|
def emit_invocation_started(
|
|
self, graph_execution_state_id: str, node: dict, source_node_id: str
|
|
) -> None:
|
|
"""Emitted when an invocation has started"""
|
|
self.__emit_session_event(
|
|
event_name="invocation_started",
|
|
payload=dict(
|
|
graph_execution_state_id=graph_execution_state_id,
|
|
node=node,
|
|
source_node_id=source_node_id,
|
|
),
|
|
)
|
|
|
|
def emit_graph_execution_complete(self, graph_execution_state_id: str) -> None:
|
|
"""Emitted when a session has completed all invocations"""
|
|
self.__emit_session_event(
|
|
event_name="graph_execution_state_complete",
|
|
payload=dict(
|
|
graph_execution_state_id=graph_execution_state_id,
|
|
),
|
|
)
|