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feat(nodes): making invocation class var in processor

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psychedelicious 2024-02-18 16:47:55 +11:00
parent 5d4b388dfd
commit 479d65b6e1
1 changed files with 16 additions and 14 deletions
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30
invokeai/app/services/session_processor/session_processor_default.py
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@ -7,6 +7,7 @@ from typing import Optional
from fastapi_events.handlers.local import local_handler
from fastapi_events.typing import Event as FastAPIEvent
from invokeai.app.invocations.baseinvocation import BaseInvocation
from invokeai.app.services.events.events_base import EventServiceBase
from invokeai.app.services.invocation_stats.invocation_stats_common import GESStatsNotFoundError
from invokeai.app.services.session_processor.session_processor_common import CanceledException
@ -23,6 +24,7 @@ class DefaultSessionProcessor(SessionProcessorBase):
def start(self, invoker: Invoker, thread_limit: int = 1, polling_interval: int = 1) -> None:
self._invoker: Invoker = invoker
self._queue_item: Optional[SessionQueueItem] = None
self._invocation: Optional[BaseInvocation] = None
self._resume_event = ThreadEvent()
self._stop_event = ThreadEvent()
@ -134,12 +136,12 @@ class DefaultSessionProcessor(SessionProcessorBase):
profiler.start(profile_id=self._queue_item.session_id)
# Prepare invocations and take the first
invocation = self._queue_item.session.next()
self._invocation = self._queue_item.session.next()
# Loop over invocations until the session is complete or canceled
while invocation is not None and not cancel_event.is_set():
while self._invocation is not None and not cancel_event.is_set():
# get the source node id to provide to clients (the prepared node id is not as useful)
source_invocation_id = self._queue_item.session.prepared_source_mapping[invocation.id]
source_invocation_id = self._queue_item.session.prepared_source_mapping[self._invocation.id]
# Send starting event
self._invoker.services.events.emit_invocation_started(
@ -147,18 +149,18 @@ class DefaultSessionProcessor(SessionProcessorBase):
queue_item_id=self._queue_item.item_id,
queue_id=self._queue_item.queue_id,
graph_execution_state_id=self._queue_item.session_id,
node=invocation.model_dump(),
node=self._invocation.model_dump(),
source_node_id=source_invocation_id,
)
# Innermost processor try block; any unhandled exception is an invocation error & will fail the graph
try:
with self._invoker.services.performance_statistics.collect_stats(
invocation, self._queue_item.session.id
self._invocation, self._queue_item.session.id
):
# Build invocation context (the node-facing API)
data = InvocationContextData(
invocation=invocation,
invocation=self._invocation,
source_invocation_id=source_invocation_id,
queue_item=self._queue_item,
)
@ -169,12 +171,12 @@ class DefaultSessionProcessor(SessionProcessorBase):
)
# Invoke the node
outputs = invocation.invoke_internal(
outputs = self._invocation.invoke_internal(
context=context, services=self._invoker.services
)
# Save outputs and history
self._queue_item.session.complete(invocation.id, outputs)
self._queue_item.session.complete(self._invocation.id, outputs)
# Send complete event
self._invoker.services.events.emit_invocation_complete(
@ -182,7 +184,7 @@ class DefaultSessionProcessor(SessionProcessorBase):
queue_item_id=self._queue_item.item_id,
queue_id=self._queue_item.queue_id,
graph_execution_state_id=self._queue_item.session.id,
node=invocation.model_dump(),
node=self._invocation.model_dump(),
source_node_id=source_invocation_id,
result=outputs.model_dump(),
)
@ -208,9 +210,9 @@ class DefaultSessionProcessor(SessionProcessorBase):
error = traceback.format_exc()
# Save error
self._queue_item.session.set_node_error(invocation.id, error)
self._queue_item.session.set_node_error(self._invocation.id, error)
self._invoker.services.logger.error(
f"Error while invoking session {self._queue_item.session_id}, invocation {invocation.id} ({invocation.get_type()}):\n{e}"
f"Error while invoking session {self._queue_item.session_id}, invocation {self._invocation.id} ({self._invocation.get_type()}):\n{e}"
)
# Send error event
@ -219,7 +221,7 @@ class DefaultSessionProcessor(SessionProcessorBase):
queue_item_id=self._queue_item.item_id,
queue_id=self._queue_item.queue_id,
graph_execution_state_id=self._queue_item.session.id,
node=invocation.model_dump(),
node=self._invocation.model_dump(),
source_node_id=source_invocation_id,
error_type=e.__class__.__name__,
error=error,
@ -236,10 +238,10 @@ class DefaultSessionProcessor(SessionProcessorBase):
)
# Save the stats and stop the profiler if it's running
stats_cleanup(self._queue_item.session.id)
invocation = None
self._invocation = None
else:
# Prepare the next invocation
invocation = self._queue_item.session.next()
self._invocation = self._queue_item.session.next()
# The session is complete, immediately poll for next session
self._queue_item = None