chore: import upstream snapshot with attribution
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@@ -0,0 +1,195 @@
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from typing import Any, Callable, Union
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from unittest.mock import MagicMock
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from invokeai.app.invocations.baseinvocation import (
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BaseInvocation,
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BaseInvocationOutput,
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invocation,
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invocation_output,
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)
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from invokeai.app.invocations.fields import InputField, OutputField
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from invokeai.app.invocations.image import ImageField
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from invokeai.app.services.events.events_common import EventBase
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from invokeai.app.services.session_processor.session_processor_common import ProgressImage
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from invokeai.app.services.session_queue.session_queue_common import SessionQueueItem
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from invokeai.app.services.shared.invocation_context import InvocationContext
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# Define test invocations before importing anything that uses invocations
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@invocation_output("test_list_output")
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class ListPassThroughInvocationOutput(BaseInvocationOutput):
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collection: list[ImageField] = OutputField(default=[])
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@invocation("test_list", version="1.0.0")
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class ListPassThroughInvocation(BaseInvocation):
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collection: list[ImageField] = InputField(default=[])
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def invoke(self, context: InvocationContext) -> ListPassThroughInvocationOutput:
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return ListPassThroughInvocationOutput(collection=self.collection)
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@invocation_output("test_prompt_output")
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class PromptTestInvocationOutput(BaseInvocationOutput):
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prompt: str = OutputField(default="")
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@invocation("test_prompt", version="1.0.0")
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class PromptTestInvocation(BaseInvocation):
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prompt: str = InputField(default="")
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def invoke(self, context: InvocationContext) -> PromptTestInvocationOutput:
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return PromptTestInvocationOutput(prompt=self.prompt)
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@invocation("test_error", version="1.0.0")
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class ErrorInvocation(BaseInvocation):
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def invoke(self, context: InvocationContext) -> PromptTestInvocationOutput:
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raise Exception("This invocation is supposed to fail")
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@invocation_output("test_image_output")
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class ImageTestInvocationOutput(BaseInvocationOutput):
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image: ImageField = OutputField()
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@invocation("test_text_to_image", version="1.0.0")
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class TextToImageTestInvocation(BaseInvocation):
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prompt: str = InputField(default="")
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prompt2: str = InputField(default="")
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def invoke(self, context: InvocationContext) -> ImageTestInvocationOutput:
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return ImageTestInvocationOutput(image=ImageField(image_name=self.id))
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@invocation("test_image_to_image", version="1.0.0")
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class ImageToImageTestInvocation(BaseInvocation):
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prompt: str = InputField(default="")
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image: Union[ImageField, None] = InputField(default=None)
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def invoke(self, context: InvocationContext) -> ImageTestInvocationOutput:
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return ImageTestInvocationOutput(image=ImageField(image_name=self.id))
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@invocation_output("test_prompt_collection_output")
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class PromptCollectionTestInvocationOutput(BaseInvocationOutput):
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collection: list[str] = OutputField(default=[])
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@invocation("test_prompt_collection", version="1.0.0")
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class PromptCollectionTestInvocation(BaseInvocation):
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collection: list[str] = InputField()
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def invoke(self, context: InvocationContext) -> PromptCollectionTestInvocationOutput:
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return PromptCollectionTestInvocationOutput(collection=self.collection.copy())
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@invocation_output("test_any_output")
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class AnyTypeTestInvocationOutput(BaseInvocationOutput):
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value: Any = OutputField()
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@invocation("test_any", version="1.0.0")
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class AnyTypeTestInvocation(BaseInvocation):
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value: Any = InputField(default=None)
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def invoke(self, context: InvocationContext) -> AnyTypeTestInvocationOutput:
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return AnyTypeTestInvocationOutput(value=self.value)
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@invocation("test_polymorphic", version="1.0.0")
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class PolymorphicStringTestInvocation(BaseInvocation):
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value: Union[str, list[str]] = InputField(default="")
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def invoke(self, context: InvocationContext) -> PromptCollectionTestInvocationOutput:
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if isinstance(self.value, str):
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return PromptCollectionTestInvocationOutput(collection=[self.value])
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return PromptCollectionTestInvocationOutput(collection=self.value)
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@invocation_output("test_union_collection_output")
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class UnionCollectionTestInvocationOutput(BaseInvocationOutput):
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value: Union[str, list[str], None] = OutputField(default=None)
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@invocation("test_union_collection", version="1.0.0")
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class UnionCollectionTestInvocation(BaseInvocation):
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value: Union[str, list[str], None] = InputField(default=None)
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def invoke(self, context: InvocationContext) -> UnionCollectionTestInvocationOutput:
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return UnionCollectionTestInvocationOutput(value=self.value)
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# Importing these must happen after test invocations are defined or they won't register
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from invokeai.app.services.events.events_base import EventServiceBase # noqa: E402
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from invokeai.app.services.shared.graph import Edge, EdgeConnection, GraphExecutionState # noqa: E402
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def create_edge(from_id: str, from_field: str, to_id: str, to_field: str) -> Edge:
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return Edge(
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source=EdgeConnection(node_id=from_id, field=from_field),
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destination=EdgeConnection(node_id=to_id, field=to_field),
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)
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class TestEvent(EventBase):
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__test__ = False # not a pytest test case
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__event_name__ = "test_event"
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class TestEventService(EventServiceBase):
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__test__ = False # not a pytest test case
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def __init__(self):
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super().__init__()
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self.events: list[EventBase] = []
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def dispatch(self, event: EventBase) -> None:
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self.events.append(event)
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pass
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def emit_invocation_progress(
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self,
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queue_item: "SessionQueueItem",
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invocation: "BaseInvocation",
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message: str,
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percentage: float | None = None,
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image: "ProgressImage | None" = None,
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) -> None:
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pass
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def wait_until(condition: Callable[[], bool], timeout: int = 10, interval: float = 0.1) -> None:
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import time
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start_time = time.time()
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while time.time() - start_time < timeout:
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if condition():
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return
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time.sleep(interval)
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raise TimeoutError("Condition not met")
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def run_session_with_mock_context(session: GraphExecutionState):
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"""Run the session with a mock context to simulate invocation execution.
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The graph may only contain invocations that operate on primitive types. Images, models, or any other types that
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require a real context cannot be used in this mock execution.
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"""
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mock_context = MagicMock(spec=InvocationContext)
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invocation = session.next()
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while invocation is not None:
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output = invocation.invoke(mock_context)
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session.complete(invocation.id, output)
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invocation = session.next()
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def get_single_output_from_session(session: GraphExecutionState, node_id: str) -> BaseInvocationOutput:
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assert len(session.source_prepared_mapping[node_id]) == 1, (
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"Expected exactly one prepared node for the given node_id"
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)
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prepared_node_id = session.source_prepared_mapping[node_id].pop()
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output = session.results[prepared_node_id]
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assert isinstance(output, BaseInvocationOutput), "Expected output to be of type BaseInvocationOutput"
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return output
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