InvokeAI/tests/nodes/test_node_graph.py
2023-03-03 00:02:15 -05:00

502 lines
15 KiB
Python

from invokeai.app.invocations.image import *
from .test_nodes import ListPassThroughInvocation, PromptTestInvocation
from invokeai.app.services.graph import Graph, GraphInvocation, InvalidEdgeError, NodeAlreadyInGraphError, NodeNotFoundError, are_connections_compatible, EdgeConnection, CollectInvocation, IterateInvocation
from invokeai.app.invocations.generate import ImageToImageInvocation, TextToImageInvocation
from invokeai.app.invocations.upscale import UpscaleInvocation
import pytest
# Helpers
def create_edge(from_id: str, from_field: str, to_id: str, to_field: str) -> tuple[EdgeConnection, EdgeConnection]:
return (EdgeConnection(node_id = from_id, field = from_field), EdgeConnection(node_id = to_id, field = to_field))
# Tests
def test_connections_are_compatible():
from_node = TextToImageInvocation(id = "1", prompt = "Banana sushi")
from_field = "image"
to_node = UpscaleInvocation(id = "2")
to_field = "image"
result = are_connections_compatible(from_node, from_field, to_node, to_field)
assert result == True
def test_connections_are_incompatible():
from_node = TextToImageInvocation(id = "1", prompt = "Banana sushi")
from_field = "image"
to_node = UpscaleInvocation(id = "2")
to_field = "strength"
result = are_connections_compatible(from_node, from_field, to_node, to_field)
assert result == False
def test_connections_incompatible_with_invalid_fields():
from_node = TextToImageInvocation(id = "1", prompt = "Banana sushi")
from_field = "invalid_field"
to_node = UpscaleInvocation(id = "2")
to_field = "image"
# From field is invalid
result = are_connections_compatible(from_node, from_field, to_node, to_field)
assert result == False
# To field is invalid
from_field = "image"
to_field = "invalid_field"
result = are_connections_compatible(from_node, from_field, to_node, to_field)
assert result == False
def test_graph_can_add_node():
g = Graph()
n = TextToImageInvocation(id = "1", prompt = "Banana sushi")
g.add_node(n)
assert n.id in g.nodes
def test_graph_fails_to_add_node_with_duplicate_id():
g = Graph()
n = TextToImageInvocation(id = "1", prompt = "Banana sushi")
g.add_node(n)
n2 = TextToImageInvocation(id = "1", prompt = "Banana sushi the second")
with pytest.raises(NodeAlreadyInGraphError):
g.add_node(n2)
def test_graph_updates_node():
g = Graph()
n = TextToImageInvocation(id = "1", prompt = "Banana sushi")
g.add_node(n)
n2 = TextToImageInvocation(id = "2", prompt = "Banana sushi the second")
g.add_node(n2)
nu = TextToImageInvocation(id = "1", prompt = "Banana sushi updated")
g.update_node("1", nu)
assert g.nodes["1"].prompt == "Banana sushi updated"
def test_graph_fails_to_update_node_if_type_changes():
g = Graph()
n = TextToImageInvocation(id = "1", prompt = "Banana sushi")
g.add_node(n)
n2 = UpscaleInvocation(id = "2")
g.add_node(n2)
nu = UpscaleInvocation(id = "1")
with pytest.raises(TypeError):
g.update_node("1", nu)
def test_graph_allows_non_conflicting_id_change():
g = Graph()
n = TextToImageInvocation(id = "1", prompt = "Banana sushi")
g.add_node(n)
n2 = UpscaleInvocation(id = "2")
g.add_node(n2)
e1 = create_edge(n.id,"image",n2.id,"image")
g.add_edge(e1)
nu = TextToImageInvocation(id = "3", prompt = "Banana sushi")
g.update_node("1", nu)
with pytest.raises(NodeNotFoundError):
g.get_node("1")
assert g.get_node("3").prompt == "Banana sushi"
assert len(g.edges) == 1
assert (EdgeConnection(node_id = "3", field = "image"), EdgeConnection(node_id = "2", field = "image")) in g.edges
def test_graph_fails_to_update_node_id_if_conflict():
g = Graph()
n = TextToImageInvocation(id = "1", prompt = "Banana sushi")
g.add_node(n)
n2 = TextToImageInvocation(id = "2", prompt = "Banana sushi the second")
g.add_node(n2)
nu = TextToImageInvocation(id = "2", prompt = "Banana sushi")
with pytest.raises(NodeAlreadyInGraphError):
g.update_node("1", nu)
def test_graph_adds_edge():
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)
assert e in g.edges
def test_graph_fails_to_add_edge_with_cycle():
g = Graph()
n1 = UpscaleInvocation(id = "1")
g.add_node(n1)
e = create_edge(n1.id,"image",n1.id,"image")
with pytest.raises(InvalidEdgeError):
g.add_edge(e)
def test_graph_fails_to_add_edge_with_long_cycle():
g = Graph()
n1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
n2 = UpscaleInvocation(id = "2")
n3 = UpscaleInvocation(id = "3")
g.add_node(n1)
g.add_node(n2)
g.add_node(n3)
e1 = create_edge(n1.id,"image",n2.id,"image")
e2 = create_edge(n2.id,"image",n3.id,"image")
e3 = create_edge(n3.id,"image",n2.id,"image")
g.add_edge(e1)
g.add_edge(e2)
with pytest.raises(InvalidEdgeError):
g.add_edge(e3)
def test_graph_fails_to_add_edge_with_missing_node_id():
g = Graph()
n1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
n2 = UpscaleInvocation(id = "2")
g.add_node(n1)
g.add_node(n2)
e1 = create_edge("1","image","3","image")
e2 = create_edge("3","image","1","image")
with pytest.raises(InvalidEdgeError):
g.add_edge(e1)
with pytest.raises(InvalidEdgeError):
g.add_edge(e2)
def test_graph_fails_to_add_edge_when_destination_exists():
g = Graph()
n1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
n2 = UpscaleInvocation(id = "2")
n3 = UpscaleInvocation(id = "3")
g.add_node(n1)
g.add_node(n2)
g.add_node(n3)
e1 = create_edge(n1.id,"image",n2.id,"image")
e2 = create_edge(n1.id,"image",n3.id,"image")
e3 = create_edge(n2.id,"image",n3.id,"image")
g.add_edge(e1)
g.add_edge(e2)
with pytest.raises(InvalidEdgeError):
g.add_edge(e3)
def test_graph_fails_to_add_edge_with_mismatched_types():
g = Graph()
n1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
n2 = UpscaleInvocation(id = "2")
g.add_node(n1)
g.add_node(n2)
e1 = create_edge("1","image","2","strength")
with pytest.raises(InvalidEdgeError):
g.add_edge(e1)
def test_graph_connects_collector():
g = Graph()
n1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
n2 = TextToImageInvocation(id = "2", prompt = "Banana sushi 2")
n3 = CollectInvocation(id = "3")
n4 = ListPassThroughInvocation(id = "4")
g.add_node(n1)
g.add_node(n2)
g.add_node(n3)
g.add_node(n4)
e1 = create_edge("1","image","3","item")
e2 = create_edge("2","image","3","item")
e3 = create_edge("3","collection","4","collection")
g.add_edge(e1)
g.add_edge(e2)
g.add_edge(e3)
# TODO: test that derived types mixed with base types are compatible
def test_graph_collector_invalid_with_varying_input_types():
g = Graph()
n1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
n2 = PromptTestInvocation(id = "2", prompt = "banana sushi 2")
n3 = CollectInvocation(id = "3")
g.add_node(n1)
g.add_node(n2)
g.add_node(n3)
e1 = create_edge("1","image","3","item")
e2 = create_edge("2","prompt","3","item")
g.add_edge(e1)
with pytest.raises(InvalidEdgeError):
g.add_edge(e2)
def test_graph_collector_invalid_with_varying_input_output():
g = Graph()
n1 = PromptTestInvocation(id = "1", prompt = "Banana sushi")
n2 = PromptTestInvocation(id = "2", prompt = "Banana sushi 2")
n3 = CollectInvocation(id = "3")
n4 = ListPassThroughInvocation(id = "4")
g.add_node(n1)
g.add_node(n2)
g.add_node(n3)
g.add_node(n4)
e1 = create_edge("1","prompt","3","item")
e2 = create_edge("2","prompt","3","item")
e3 = create_edge("3","collection","4","collection")
g.add_edge(e1)
g.add_edge(e2)
with pytest.raises(InvalidEdgeError):
g.add_edge(e3)
def test_graph_collector_invalid_with_non_list_output():
g = Graph()
n1 = PromptTestInvocation(id = "1", prompt = "Banana sushi")
n2 = PromptTestInvocation(id = "2", prompt = "Banana sushi 2")
n3 = CollectInvocation(id = "3")
n4 = PromptTestInvocation(id = "4")
g.add_node(n1)
g.add_node(n2)
g.add_node(n3)
g.add_node(n4)
e1 = create_edge("1","prompt","3","item")
e2 = create_edge("2","prompt","3","item")
e3 = create_edge("3","collection","4","prompt")
g.add_edge(e1)
g.add_edge(e2)
with pytest.raises(InvalidEdgeError):
g.add_edge(e3)
def test_graph_connects_iterator():
g = Graph()
n1 = ListPassThroughInvocation(id = "1")
n2 = IterateInvocation(id = "2")
n3 = ImageToImageInvocation(id = "3", prompt = "Banana sushi")
g.add_node(n1)
g.add_node(n2)
g.add_node(n3)
e1 = create_edge("1","collection","2","collection")
e2 = create_edge("2","item","3","image")
g.add_edge(e1)
g.add_edge(e2)
# TODO: TEST INVALID ITERATOR SCENARIOS
def test_graph_iterator_invalid_if_multiple_inputs():
g = Graph()
n1 = ListPassThroughInvocation(id = "1")
n2 = IterateInvocation(id = "2")
n3 = ImageToImageInvocation(id = "3", prompt = "Banana sushi")
n4 = ListPassThroughInvocation(id = "4")
g.add_node(n1)
g.add_node(n2)
g.add_node(n3)
g.add_node(n4)
e1 = create_edge("1","collection","2","collection")
e2 = create_edge("2","item","3","image")
e3 = create_edge("4","collection","2","collection")
g.add_edge(e1)
g.add_edge(e2)
with pytest.raises(InvalidEdgeError):
g.add_edge(e3)
def test_graph_iterator_invalid_if_input_not_list():
g = Graph()
n1 = TextToImageInvocation(id = "1", promopt = "Banana sushi")
n2 = IterateInvocation(id = "2")
g.add_node(n1)
g.add_node(n2)
e1 = create_edge("1","collection","2","collection")
with pytest.raises(InvalidEdgeError):
g.add_edge(e1)
def test_graph_iterator_invalid_if_output_and_input_types_different():
g = Graph()
n1 = ListPassThroughInvocation(id = "1")
n2 = IterateInvocation(id = "2")
n3 = PromptTestInvocation(id = "3", prompt = "Banana sushi")
g.add_node(n1)
g.add_node(n2)
g.add_node(n3)
e1 = create_edge("1","collection","2","collection")
e2 = create_edge("2","item","3","prompt")
g.add_edge(e1)
with pytest.raises(InvalidEdgeError):
g.add_edge(e2)
def test_graph_validates():
g = Graph()
n1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
n2 = UpscaleInvocation(id = "2")
g.add_node(n1)
g.add_node(n2)
e1 = create_edge("1","image","2","image")
g.add_edge(e1)
assert g.is_valid() == True
def test_graph_invalid_if_edges_reference_missing_nodes():
g = Graph()
n1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
g.nodes[n1.id] = n1
e1 = create_edge("1","image","2","image")
g.edges.append(e1)
assert g.is_valid() == False
def test_graph_invalid_if_subgraph_invalid():
g = Graph()
n1 = GraphInvocation(id = "1")
n1.graph = Graph()
n1_1 = TextToImageInvocation(id = "2", prompt = "Banana sushi")
n1.graph.nodes[n1_1.id] = n1_1
e1 = create_edge("1","image","2","image")
n1.graph.edges.append(e1)
g.nodes[n1.id] = n1
assert g.is_valid() == False
def test_graph_invalid_if_has_cycle():
g = Graph()
n1 = UpscaleInvocation(id = "1")
n2 = UpscaleInvocation(id = "2")
g.nodes[n1.id] = n1
g.nodes[n2.id] = n2
e1 = create_edge("1","image","2","image")
e2 = create_edge("2","image","1","image")
g.edges.append(e1)
g.edges.append(e2)
assert g.is_valid() == False
def test_graph_invalid_with_invalid_connection():
g = Graph()
n1 = TextToImageInvocation(id = "1", prompt = "Banana sushi")
n2 = UpscaleInvocation(id = "2")
g.nodes[n1.id] = n1
g.nodes[n2.id] = n2
e1 = create_edge("1","image","2","strength")
g.edges.append(e1)
assert g.is_valid() == False
# 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')
assert result is not None
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)