import logging import sqlite3 import threading import pytest from invokeai.app.services.config.invokeai_config import InvokeAIAppConfig # This import must happen before other invoke imports or test in other files(!!) break from .test_nodes import ( # isort: split ErrorInvocation, PromptTestInvocation, TestEventService, TextToImageTestInvocation, create_edge, wait_until, ) from invokeai.app.services.graph import Graph, GraphExecutionState, GraphInvocation, LibraryGraph from invokeai.app.services.invocation_cache.invocation_cache_memory import MemoryInvocationCache from invokeai.app.services.invocation_queue import MemoryInvocationQueue from invokeai.app.services.invocation_services import InvocationServices from invokeai.app.services.invocation_stats import InvocationStatsService from invokeai.app.services.invoker import Invoker from invokeai.app.services.processor import DefaultInvocationProcessor from invokeai.app.services.session_queue.session_queue_common import DEFAULT_QUEUE_ID from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory @pytest.fixture def simple_graph(): g = Graph() g.add_node(PromptTestInvocation(id="1", prompt="Banana sushi")) g.add_node(TextToImageTestInvocation(id="2")) g.add_edge(create_edge("1", "prompt", "2", "prompt")) return g @pytest.fixture def graph_with_subgraph(): sub_g = Graph() sub_g.add_node(PromptTestInvocation(id="1", prompt="Banana sushi")) sub_g.add_node(TextToImageTestInvocation(id="2")) sub_g.add_edge(create_edge("1", "prompt", "2", "prompt")) g = Graph() g.add_node(GraphInvocation(id="1", graph=sub_g)) return g # This must be defined here to avoid issues with the dynamic creation of the union of all invocation types # Defining it in a separate module will cause the union to be incomplete, and pydantic will not validate # the test invocations. @pytest.fixture def mock_services() -> InvocationServices: lock = threading.Lock() # NOTE: none of these are actually called by the test invocations db_conn = sqlite3.connect(sqlite_memory, check_same_thread=False) graph_execution_manager = SqliteItemStorage[GraphExecutionState]( conn=db_conn, table_name="graph_executions", lock=lock ) return InvocationServices( model_manager=None, # type: ignore events=TestEventService(), logger=logging, # type: ignore images=None, # type: ignore latents=None, # type: ignore boards=None, # type: ignore board_images=None, # type: ignore queue=MemoryInvocationQueue(), graph_library=SqliteItemStorage[LibraryGraph](conn=db_conn, table_name="graphs", lock=lock), graph_execution_manager=graph_execution_manager, processor=DefaultInvocationProcessor(), performance_statistics=InvocationStatsService(graph_execution_manager), configuration=InvokeAIAppConfig(node_cache_size=0), # type: ignore session_queue=None, # type: ignore session_processor=None, # type: ignore invocation_cache=MemoryInvocationCache(max_cache_size=0), ) @pytest.fixture() def mock_invoker(mock_services: InvocationServices) -> Invoker: return Invoker(services=mock_services) def test_can_create_graph_state(mock_invoker: Invoker): g = mock_invoker.create_execution_state() mock_invoker.stop() assert g is not None assert isinstance(g, GraphExecutionState) def test_can_create_graph_state_from_graph(mock_invoker: Invoker, simple_graph): g = mock_invoker.create_execution_state(graph=simple_graph) mock_invoker.stop() assert g is not None assert isinstance(g, GraphExecutionState) assert g.graph == simple_graph # @pytest.mark.xfail(reason = "Requires fixing following the model manager refactor") def test_can_invoke(mock_invoker: Invoker, simple_graph): g = mock_invoker.create_execution_state(graph=simple_graph) invocation_id = mock_invoker.invoke( session_queue_batch_id="1", session_queue_item_id=1, session_queue_id=DEFAULT_QUEUE_ID, graph_execution_state=g, ) assert invocation_id is not None def has_executed_any(g: GraphExecutionState): g = mock_invoker.services.graph_execution_manager.get(g.id) return len(g.executed) > 0 wait_until(lambda: has_executed_any(g), timeout=5, interval=1) mock_invoker.stop() g = mock_invoker.services.graph_execution_manager.get(g.id) assert len(g.executed) > 0 # @pytest.mark.xfail(reason = "Requires fixing following the model manager refactor") def test_can_invoke_all(mock_invoker: Invoker, simple_graph): g = mock_invoker.create_execution_state(graph=simple_graph) invocation_id = mock_invoker.invoke( session_queue_batch_id="1", session_queue_item_id=1, session_queue_id=DEFAULT_QUEUE_ID, graph_execution_state=g, invoke_all=True, ) assert invocation_id is not None def has_executed_all(g: GraphExecutionState): g = mock_invoker.services.graph_execution_manager.get(g.id) return g.is_complete() wait_until(lambda: has_executed_all(g), timeout=5, interval=1) mock_invoker.stop() g = mock_invoker.services.graph_execution_manager.get(g.id) assert g.is_complete() # @pytest.mark.xfail(reason = "Requires fixing following the model manager refactor") def test_handles_errors(mock_invoker: Invoker): g = mock_invoker.create_execution_state() g.graph.add_node(ErrorInvocation(id="1")) mock_invoker.invoke( session_queue_batch_id="1", session_queue_item_id=1, session_queue_id=DEFAULT_QUEUE_ID, graph_execution_state=g, invoke_all=True, ) def has_executed_all(g: GraphExecutionState): g = mock_invoker.services.graph_execution_manager.get(g.id) return g.is_complete() wait_until(lambda: has_executed_all(g), timeout=5, interval=1) mock_invoker.stop() g = mock_invoker.services.graph_execution_manager.get(g.id) assert g.has_error() assert g.is_complete() assert all((i in g.errors for i in g.source_prepared_mapping["1"]))