2023-03-03 05:02:15 +00:00
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from invokeai.app.invocations.image import *
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2022-12-01 05:33:20 +00:00
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from .test_nodes import ListPassThroughInvocation, PromptTestInvocation
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2023-03-03 05:02:15 +00:00
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from invokeai.app.services.graph import Graph, GraphInvocation, InvalidEdgeError, NodeAlreadyInGraphError, NodeNotFoundError, are_connections_compatible, EdgeConnection, CollectInvocation, IterateInvocation
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from invokeai.app.invocations.generate import ImageToImageInvocation, TextToImageInvocation
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from invokeai.app.invocations.upscale import UpscaleInvocation
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2022-12-01 05:33:20 +00:00
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import pytest
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# Helpers
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def create_edge(from_id: str, from_field: str, to_id: str, to_field: str) -> tuple[EdgeConnection, EdgeConnection]:
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return (EdgeConnection(node_id = from_id, field = from_field), EdgeConnection(node_id = to_id, field = to_field))
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# Tests
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def test_connections_are_compatible():
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from_node = TextToImageInvocation(id = "1", prompt = "Banana sushi")
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from_field = "image"
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to_node = UpscaleInvocation(id = "2")
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to_field = "image"
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result = are_connections_compatible(from_node, from_field, to_node, to_field)
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assert result == True
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def test_connections_are_incompatible():
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from_node = TextToImageInvocation(id = "1", prompt = "Banana sushi")
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from_field = "image"
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to_node = UpscaleInvocation(id = "2")
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to_field = "strength"
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result = are_connections_compatible(from_node, from_field, to_node, to_field)
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assert result == False
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def test_connections_incompatible_with_invalid_fields():
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from_node = TextToImageInvocation(id = "1", prompt = "Banana sushi")
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from_field = "invalid_field"
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to_node = UpscaleInvocation(id = "2")
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to_field = "image"
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# From field is invalid
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result = are_connections_compatible(from_node, from_field, to_node, to_field)
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assert result == False
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# To field is invalid
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from_field = "image"
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to_field = "invalid_field"
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result = are_connections_compatible(from_node, from_field, to_node, to_field)
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assert result == False
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def test_graph_can_add_node():
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g = Graph()
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n = TextToImageInvocation(id = "1", prompt = "Banana sushi")
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g.add_node(n)
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assert n.id in g.nodes
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def test_graph_fails_to_add_node_with_duplicate_id():
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g = Graph()
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n = TextToImageInvocation(id = "1", prompt = "Banana sushi")
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g.add_node(n)
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n2 = TextToImageInvocation(id = "1", prompt = "Banana sushi the second")
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with pytest.raises(NodeAlreadyInGraphError):
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g.add_node(n2)
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def test_graph_updates_node():
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g = Graph()
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n = TextToImageInvocation(id = "1", prompt = "Banana sushi")
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g.add_node(n)
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n2 = TextToImageInvocation(id = "2", prompt = "Banana sushi the second")
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g.add_node(n2)
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nu = TextToImageInvocation(id = "1", prompt = "Banana sushi updated")
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g.update_node("1", nu)
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assert g.nodes["1"].prompt == "Banana sushi updated"
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def test_graph_fails_to_update_node_if_type_changes():
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g = Graph()
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n = TextToImageInvocation(id = "1", prompt = "Banana sushi")
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g.add_node(n)
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n2 = UpscaleInvocation(id = "2")
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g.add_node(n2)
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nu = UpscaleInvocation(id = "1")
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with pytest.raises(TypeError):
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g.update_node("1", nu)
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def test_graph_allows_non_conflicting_id_change():
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g = Graph()
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n = TextToImageInvocation(id = "1", prompt = "Banana sushi")
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g.add_node(n)
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n2 = UpscaleInvocation(id = "2")
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g.add_node(n2)
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e1 = create_edge(n.id,"image",n2.id,"image")
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g.add_edge(e1)
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nu = TextToImageInvocation(id = "3", prompt = "Banana sushi")
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g.update_node("1", nu)
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with pytest.raises(NodeNotFoundError):
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g.get_node("1")
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assert g.get_node("3").prompt == "Banana sushi"
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assert len(g.edges) == 1
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assert (EdgeConnection(node_id = "3", field = "image"), EdgeConnection(node_id = "2", field = "image")) in g.edges
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def test_graph_fails_to_update_node_id_if_conflict():
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g = Graph()
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n = TextToImageInvocation(id = "1", prompt = "Banana sushi")
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g.add_node(n)
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n2 = TextToImageInvocation(id = "2", prompt = "Banana sushi the second")
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g.add_node(n2)
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nu = TextToImageInvocation(id = "2", prompt = "Banana sushi")
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with pytest.raises(NodeAlreadyInGraphError):
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g.update_node("1", nu)
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def test_graph_adds_edge():
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g = Graph()
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n1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
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n2 = UpscaleInvocation(id = "2")
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g.add_node(n1)
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g.add_node(n2)
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e = create_edge(n1.id,"image",n2.id,"image")
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g.add_edge(e)
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assert e in g.edges
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def test_graph_fails_to_add_edge_with_cycle():
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g = Graph()
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n1 = UpscaleInvocation(id = "1")
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g.add_node(n1)
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e = create_edge(n1.id,"image",n1.id,"image")
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with pytest.raises(InvalidEdgeError):
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g.add_edge(e)
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def test_graph_fails_to_add_edge_with_long_cycle():
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g = Graph()
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n1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
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n2 = UpscaleInvocation(id = "2")
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n3 = UpscaleInvocation(id = "3")
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g.add_node(n1)
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g.add_node(n2)
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g.add_node(n3)
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e1 = create_edge(n1.id,"image",n2.id,"image")
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e2 = create_edge(n2.id,"image",n3.id,"image")
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e3 = create_edge(n3.id,"image",n2.id,"image")
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g.add_edge(e1)
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g.add_edge(e2)
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with pytest.raises(InvalidEdgeError):
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g.add_edge(e3)
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def test_graph_fails_to_add_edge_with_missing_node_id():
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g = Graph()
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n1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
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n2 = UpscaleInvocation(id = "2")
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g.add_node(n1)
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g.add_node(n2)
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e1 = create_edge("1","image","3","image")
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e2 = create_edge("3","image","1","image")
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with pytest.raises(InvalidEdgeError):
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g.add_edge(e1)
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with pytest.raises(InvalidEdgeError):
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g.add_edge(e2)
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def test_graph_fails_to_add_edge_when_destination_exists():
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g = Graph()
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n1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
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n2 = UpscaleInvocation(id = "2")
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n3 = UpscaleInvocation(id = "3")
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g.add_node(n1)
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g.add_node(n2)
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g.add_node(n3)
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e1 = create_edge(n1.id,"image",n2.id,"image")
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e2 = create_edge(n1.id,"image",n3.id,"image")
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e3 = create_edge(n2.id,"image",n3.id,"image")
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g.add_edge(e1)
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g.add_edge(e2)
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with pytest.raises(InvalidEdgeError):
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g.add_edge(e3)
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def test_graph_fails_to_add_edge_with_mismatched_types():
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g = Graph()
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n1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
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n2 = UpscaleInvocation(id = "2")
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g.add_node(n1)
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g.add_node(n2)
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e1 = create_edge("1","image","2","strength")
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with pytest.raises(InvalidEdgeError):
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g.add_edge(e1)
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def test_graph_connects_collector():
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g = Graph()
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n1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
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n2 = TextToImageInvocation(id = "2", prompt = "Banana sushi 2")
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n3 = CollectInvocation(id = "3")
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n4 = ListPassThroughInvocation(id = "4")
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g.add_node(n1)
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g.add_node(n2)
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g.add_node(n3)
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g.add_node(n4)
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e1 = create_edge("1","image","3","item")
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e2 = create_edge("2","image","3","item")
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e3 = create_edge("3","collection","4","collection")
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g.add_edge(e1)
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g.add_edge(e2)
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g.add_edge(e3)
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# TODO: test that derived types mixed with base types are compatible
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def test_graph_collector_invalid_with_varying_input_types():
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g = Graph()
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n1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
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n2 = PromptTestInvocation(id = "2", prompt = "banana sushi 2")
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n3 = CollectInvocation(id = "3")
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g.add_node(n1)
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g.add_node(n2)
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g.add_node(n3)
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e1 = create_edge("1","image","3","item")
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e2 = create_edge("2","prompt","3","item")
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g.add_edge(e1)
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with pytest.raises(InvalidEdgeError):
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g.add_edge(e2)
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def test_graph_collector_invalid_with_varying_input_output():
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g = Graph()
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n1 = PromptTestInvocation(id = "1", prompt = "Banana sushi")
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n2 = PromptTestInvocation(id = "2", prompt = "Banana sushi 2")
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n3 = CollectInvocation(id = "3")
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n4 = ListPassThroughInvocation(id = "4")
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g.add_node(n1)
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g.add_node(n2)
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g.add_node(n3)
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g.add_node(n4)
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e1 = create_edge("1","prompt","3","item")
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e2 = create_edge("2","prompt","3","item")
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e3 = create_edge("3","collection","4","collection")
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g.add_edge(e1)
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g.add_edge(e2)
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with pytest.raises(InvalidEdgeError):
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g.add_edge(e3)
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def test_graph_collector_invalid_with_non_list_output():
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g = Graph()
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n1 = PromptTestInvocation(id = "1", prompt = "Banana sushi")
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n2 = PromptTestInvocation(id = "2", prompt = "Banana sushi 2")
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n3 = CollectInvocation(id = "3")
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n4 = PromptTestInvocation(id = "4")
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g.add_node(n1)
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g.add_node(n2)
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g.add_node(n3)
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g.add_node(n4)
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e1 = create_edge("1","prompt","3","item")
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e2 = create_edge("2","prompt","3","item")
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e3 = create_edge("3","collection","4","prompt")
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g.add_edge(e1)
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g.add_edge(e2)
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with pytest.raises(InvalidEdgeError):
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g.add_edge(e3)
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def test_graph_connects_iterator():
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g = Graph()
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n1 = ListPassThroughInvocation(id = "1")
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n2 = IterateInvocation(id = "2")
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n3 = ImageToImageInvocation(id = "3", prompt = "Banana sushi")
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g.add_node(n1)
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g.add_node(n2)
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g.add_node(n3)
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e1 = create_edge("1","collection","2","collection")
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e2 = create_edge("2","item","3","image")
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g.add_edge(e1)
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g.add_edge(e2)
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# TODO: TEST INVALID ITERATOR SCENARIOS
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def test_graph_iterator_invalid_if_multiple_inputs():
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g = Graph()
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n1 = ListPassThroughInvocation(id = "1")
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n2 = IterateInvocation(id = "2")
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n3 = ImageToImageInvocation(id = "3", prompt = "Banana sushi")
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n4 = ListPassThroughInvocation(id = "4")
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g.add_node(n1)
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g.add_node(n2)
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g.add_node(n3)
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g.add_node(n4)
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e1 = create_edge("1","collection","2","collection")
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e2 = create_edge("2","item","3","image")
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e3 = create_edge("4","collection","2","collection")
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g.add_edge(e1)
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g.add_edge(e2)
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with pytest.raises(InvalidEdgeError):
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g.add_edge(e3)
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def test_graph_iterator_invalid_if_input_not_list():
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g = Graph()
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n1 = TextToImageInvocation(id = "1", promopt = "Banana sushi")
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n2 = IterateInvocation(id = "2")
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g.add_node(n1)
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g.add_node(n2)
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e1 = create_edge("1","collection","2","collection")
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with pytest.raises(InvalidEdgeError):
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g.add_edge(e1)
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def test_graph_iterator_invalid_if_output_and_input_types_different():
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g = Graph()
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n1 = ListPassThroughInvocation(id = "1")
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n2 = IterateInvocation(id = "2")
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n3 = PromptTestInvocation(id = "3", prompt = "Banana sushi")
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g.add_node(n1)
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g.add_node(n2)
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g.add_node(n3)
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e1 = create_edge("1","collection","2","collection")
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e2 = create_edge("2","item","3","prompt")
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g.add_edge(e1)
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with pytest.raises(InvalidEdgeError):
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g.add_edge(e2)
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def test_graph_validates():
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g = Graph()
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n1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
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n2 = UpscaleInvocation(id = "2")
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g.add_node(n1)
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g.add_node(n2)
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e1 = create_edge("1","image","2","image")
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g.add_edge(e1)
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assert g.is_valid() == True
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def test_graph_invalid_if_edges_reference_missing_nodes():
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g = Graph()
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n1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
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g.nodes[n1.id] = n1
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e1 = create_edge("1","image","2","image")
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g.edges.append(e1)
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assert g.is_valid() == False
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def test_graph_invalid_if_subgraph_invalid():
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g = Graph()
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n1 = GraphInvocation(id = "1")
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n1.graph = Graph()
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n1_1 = TextToImageInvocation(id = "2", prompt = "Banana sushi")
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n1.graph.nodes[n1_1.id] = n1_1
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e1 = create_edge("1","image","2","image")
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n1.graph.edges.append(e1)
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g.nodes[n1.id] = n1
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assert g.is_valid() == False
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def test_graph_invalid_if_has_cycle():
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g = Graph()
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n1 = UpscaleInvocation(id = "1")
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n2 = UpscaleInvocation(id = "2")
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g.nodes[n1.id] = n1
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g.nodes[n2.id] = n2
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e1 = create_edge("1","image","2","image")
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e2 = create_edge("2","image","1","image")
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g.edges.append(e1)
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g.edges.append(e2)
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assert g.is_valid() == False
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def test_graph_invalid_with_invalid_connection():
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|
g = Graph()
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n1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
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|
|
n2 = UpscaleInvocation(id = "2")
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|
g.nodes[n1.id] = n1
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|
g.nodes[n2.id] = n2
|
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|
e1 = create_edge("1","image","2","strength")
|
|
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|
g.edges.append(e1)
|
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|
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assert g.is_valid() == False
|
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|
|
|
|
|
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|
# TODO: Subgraph operations
|
|
|
|
def test_graph_gets_subgraph_node():
|
|
|
|
g = Graph()
|
|
|
|
n1 = GraphInvocation(id = "1")
|
|
|
|
n1.graph = Graph()
|
|
|
|
n1.graph.add_node
|
|
|
|
|
|
|
|
n1_1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
|
|
|
|
n1.graph.add_node(n1_1)
|
|
|
|
|
|
|
|
g.add_node(n1)
|
|
|
|
|
|
|
|
result = g.get_node('1.1')
|
|
|
|
|
|
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|
assert result is not None
|
|
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|
assert result.id == '1'
|
|
|
|
assert result == n1_1
|
|
|
|
|
|
|
|
def test_graph_fails_to_get_missing_subgraph_node():
|
|
|
|
g = Graph()
|
|
|
|
n1 = GraphInvocation(id = "1")
|
|
|
|
n1.graph = Graph()
|
|
|
|
n1.graph.add_node
|
|
|
|
|
|
|
|
n1_1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
|
|
|
|
n1.graph.add_node(n1_1)
|
|
|
|
|
|
|
|
g.add_node(n1)
|
|
|
|
|
|
|
|
with pytest.raises(NodeNotFoundError):
|
|
|
|
result = g.get_node('1.2')
|
|
|
|
|
|
|
|
def test_graph_fails_to_enumerate_non_subgraph_node():
|
|
|
|
g = Graph()
|
|
|
|
n1 = GraphInvocation(id = "1")
|
|
|
|
n1.graph = Graph()
|
|
|
|
n1.graph.add_node
|
|
|
|
|
|
|
|
n1_1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
|
|
|
|
n1.graph.add_node(n1_1)
|
|
|
|
|
|
|
|
g.add_node(n1)
|
|
|
|
|
|
|
|
n2 = UpscaleInvocation(id = "2")
|
|
|
|
g.add_node(n2)
|
|
|
|
|
|
|
|
with pytest.raises(NodeNotFoundError):
|
|
|
|
result = g.get_node('2.1')
|
|
|
|
|
|
|
|
def test_graph_gets_networkx_graph():
|
|
|
|
g = Graph()
|
|
|
|
n1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
|
|
|
|
n2 = UpscaleInvocation(id = "2")
|
|
|
|
g.add_node(n1)
|
|
|
|
g.add_node(n2)
|
|
|
|
e = create_edge(n1.id,"image",n2.id,"image")
|
|
|
|
g.add_edge(e)
|
|
|
|
|
|
|
|
nxg = g.nx_graph()
|
|
|
|
|
|
|
|
assert '1' in nxg.nodes
|
|
|
|
assert '2' in nxg.nodes
|
|
|
|
assert ('1','2') in nxg.edges
|
|
|
|
|
|
|
|
|
|
|
|
# TODO: Graph serializes and deserializes
|
|
|
|
def test_graph_can_serialize():
|
|
|
|
g = Graph()
|
|
|
|
n1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
|
|
|
|
n2 = UpscaleInvocation(id = "2")
|
|
|
|
g.add_node(n1)
|
|
|
|
g.add_node(n2)
|
|
|
|
e = create_edge(n1.id,"image",n2.id,"image")
|
|
|
|
g.add_edge(e)
|
|
|
|
|
|
|
|
# Not throwing on this line is sufficient
|
|
|
|
json = g.json()
|
|
|
|
|
|
|
|
def test_graph_can_deserialize():
|
|
|
|
g = Graph()
|
|
|
|
n1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
|
|
|
|
n2 = UpscaleInvocation(id = "2")
|
|
|
|
g.add_node(n1)
|
|
|
|
g.add_node(n2)
|
|
|
|
e = create_edge(n1.id,"image",n2.id,"image")
|
|
|
|
g.add_edge(e)
|
|
|
|
|
|
|
|
json = g.json()
|
|
|
|
g2 = Graph.parse_raw(json)
|
|
|
|
|
|
|
|
assert g2 is not None
|
|
|
|
assert g2.nodes['1'] is not None
|
|
|
|
assert g2.nodes['2'] is not None
|
|
|
|
assert len(g2.edges) == 1
|
|
|
|
assert g2.edges[0][0].node_id == '1'
|
|
|
|
assert g2.edges[0][0].field == 'image'
|
|
|
|
assert g2.edges[0][1].node_id == '2'
|
|
|
|
assert g2.edges[0][1].field == 'image'
|
|
|
|
|
|
|
|
def test_graph_can_generate_schema():
|
|
|
|
# Not throwing on this line is sufficient
|
|
|
|
# NOTE: if this test fails, it's PROBABLY because a new invocation type is breaking schema generation
|
|
|
|
schema = Graph.schema_json(indent = 2)
|