InvokeAI/tests/nodes/test_graph_execution_state.py
psychedelicious 5f498e10bd
Partial migration of UI to nodes API (#3195)
* feat(ui): add axios client generator and simple example

* fix(ui): update client & nodes test code w/ new Edge type

* chore(ui): organize generated files

* chore(ui): update .eslintignore, .prettierignore

* chore(ui): update openapi.json

* feat(backend): fixes for nodes/generator

* feat(ui): generate object args for api client

* feat(ui): more nodes api prototyping

* feat(ui): nodes cancel

* chore(ui): regenerate api client

* fix(ui): disable OG web server socket connection

* fix(ui): fix scrollbar styles typing and prop

just noticed the typo, and made the types stronger.

* feat(ui): add socketio types

* feat(ui): wip nodes

- extract api client method arg types instead of manually declaring them
- update example to display images
- general tidy up

* start building out node translations from frontend state and add notes about missing features

* use reference to sampler_name

* use reference to sampler_name

* add optional apiUrl prop

* feat(ui): start hooking up dynamic txt2img node generation, create middleware for session invocation

* feat(ui): write separate nodes socket layer, txt2img generating and rendering w single node

* feat(ui): img2img implementation

* feat(ui): get intermediate images working but types are stubbed out

* chore(ui): add support for package mode

* feat(ui): add nodes mode script

* feat(ui): handle random seeds

* fix(ui): fix middleware types

* feat(ui): add rtk action type guard

* feat(ui): disable NodeAPITest

This was polluting the network/socket logs.

* feat(ui): fix parameters panel border color

This commit should be elsewhere but I don't want to break my flow

* feat(ui): make thunk types more consistent

* feat(ui): add type guards for outputs

* feat(ui): load images on socket connect

Rudimentary

* chore(ui): bump redux-toolkit

* docs(ui): update readme

* chore(ui): regenerate api client

* chore(ui): add typescript as dev dependency

I am having trouble with TS versions after vscode updated and now uses TS 5. `madge` has installed 3.9.10 and for whatever reason my vscode wants to use that. Manually specifying 4.9.5 and then setting vscode to use that as the workspace TS fixes the issue.

* feat(ui): begin migrating gallery to nodes

Along the way, migrate to use RTK `createEntityAdapter` for gallery images, and separate `results` and `uploads` into separate slices. Much cleaner this way.

* feat(ui): clean up & comment results slice

* fix(ui): separate thunk for initial gallery load so it properly gets index 0

* feat(ui): POST upload working

* fix(ui): restore removed type

* feat(ui): patch api generation for headers access

* chore(ui): regenerate api

* feat(ui): wip gallery migration

* feat(ui): wip gallery migration

* chore(ui): regenerate api

* feat(ui): wip refactor socket events

* feat(ui): disable panels based on app props

* feat(ui): invert logic to be disabled

* disable panels when app mounts

* feat(ui): add support to disableTabs

* docs(ui): organise and update docs

* lang(ui): add toast strings

* feat(ui): wip events, comments, and general refactoring

* feat(ui): add optional token for auth

* feat(ui): export StatusIndicator and ModelSelect for header use

* feat(ui) working on making socket URL dynamic

* feat(ui): dynamic middleware loading

* feat(ui): prep for socket jwt

* feat(ui): migrate cancelation

also updated action names to be event-like instead of declaration-like

sorry, i was scattered and this commit has a lot of unrelated stuff in it.

* fix(ui): fix img2img type

* chore(ui): regenerate api client

* feat(ui): improve InvocationCompleteEvent types

* feat(ui): increase StatusIndicator font size

* fix(ui): fix middleware order for multi-node graphs

* feat(ui): add exampleGraphs object w/ iterations example

* feat(ui): generate iterations graph

* feat(ui): update ModelSelect for nodes API

* feat(ui): add hi-res functionality for txt2img generations

* feat(ui): "subscribe" to particular nodes

feels like a dirty hack but oh well it works

* feat(ui): first steps to node editor ui

* fix(ui): disable event subscription

it is not fully baked just yet

* feat(ui): wip node editor

* feat(ui): remove extraneous field types

* feat(ui): nodes before deleting stuff

* feat(ui): cleanup nodes ui stuff

* feat(ui): hook up nodes to redux

* fix(ui): fix handle

* fix(ui): add basic node edges & connection validation

* feat(ui): add connection validation styling

* feat(ui): increase edge width

* feat(ui): it blends

* feat(ui): wip model handling and graph topology validation

* feat(ui): validation connections w/ graphlib

* docs(ui): update nodes doc

* feat(ui): wip node editor

* chore(ui): rebuild api, update types

* add redux-dynamic-middlewares as a dependency

* feat(ui): add url host transformation

* feat(ui): handle already-connected fields

* feat(ui): rewrite SqliteItemStore in sqlalchemy

* fix(ui): fix sqlalchemy dynamic model instantiation

* feat(ui, nodes): metadata wip

* feat(ui, nodes): models

* feat(ui, nodes): more metadata wip

* feat(ui): wip range/iterate

* fix(nodes): fix sqlite typing

* feat(ui): export new type for invoke component

* tests(nodes): fix test instantiation of ImageField

* feat(nodes): fix LoadImageInvocation

* feat(nodes): add `title` ui hint

* feat(nodes): make ImageField attrs optional

* feat(ui): wip nodes etc

* feat(nodes): roll back sqlalchemy

* fix(nodes): partially address feedback

* fix(backend): roll back changes to pngwriter

* feat(nodes): wip address metadata feedback

* feat(nodes): add seeded rng to RandomRange

* feat(nodes): address feedback

* feat(nodes): move GET images error handling to DiskImageStorage

* feat(nodes): move GET images error handling to DiskImageStorage

* fix(nodes): fix image output schema customization

* feat(ui): img2img/txt2img -> linear

- remove txt2img and img2img tabs
- add linear tab
- add initial image selection to linear parameters accordion

* feat(ui): tidy graph builders

* feat(ui): tidy misc

* feat(ui): improve invocation union types

* feat(ui): wip metadata viewer recall

* feat(ui): move fonts to normal deps

* feat(nodes): fix broken upload

* feat(nodes): add metadata module + tests, thumbnails

- `MetadataModule` is stateless and needed in places where the `InvocationContext` is not available, so have not made it a `service`
- Handles loading/parsing/building metadata, and creating png info objects
- added tests for MetadataModule
- Lifted thumbnail stuff to util

* fix(nodes): revert change to RandomRangeInvocation

* feat(nodes): address feedback

- make metadata a service
- rip out pydantic validation, implement metadata parsing as simple functions
- update tests
- address other minor feedback items

* fix(nodes): fix other tests

* fix(nodes): add metadata service to cli

* fix(nodes): fix latents/image field parsing

* feat(nodes): customise LatentsField schema

* feat(nodes): move metadata parsing to frontend

* fix(nodes): fix metadata test

---------

Co-authored-by: maryhipp <maryhipp@gmail.com>
Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
2023-04-22 13:10:20 +10:00

123 lines
4.8 KiB
Python

from .test_invoker import create_edge
from .test_nodes import ImageTestInvocation, ListPassThroughInvocation, PromptTestInvocation, PromptCollectionTestInvocation
from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationContext
from invokeai.app.invocations.collections import RangeInvocation
from invokeai.app.invocations.math import AddInvocation, MultiplyInvocation
from invokeai.app.services.processor import DefaultInvocationProcessor
from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory
from invokeai.app.services.invocation_queue import MemoryInvocationQueue
from invokeai.app.services.invocation_services import InvocationServices
from invokeai.app.services.graph import Graph, GraphInvocation, InvalidEdgeError, LibraryGraph, NodeAlreadyInGraphError, NodeNotFoundError, are_connections_compatible, EdgeConnection, CollectInvocation, IterateInvocation, GraphExecutionState
import pytest
@pytest.fixture
def simple_graph():
g = Graph()
g.add_node(PromptTestInvocation(id = "1", prompt = "Banana sushi"))
g.add_node(ImageTestInvocation(id = "2"))
g.add_edge(create_edge("1", "prompt", "2", "prompt"))
return g
@pytest.fixture
def mock_services():
# NOTE: none of these are actually called by the test invocations
return InvocationServices(
model_manager = None, # type: ignore
events = None, # type: ignore
images = None, # type: ignore
latents = None, # type: ignore
metadata = None, # type: ignore
queue = MemoryInvocationQueue(),
graph_library=SqliteItemStorage[LibraryGraph](
filename=sqlite_memory, table_name="graphs"
),
graph_execution_manager = SqliteItemStorage[GraphExecutionState](filename = sqlite_memory, table_name = 'graph_executions'),
processor = DefaultInvocationProcessor(),
restoration = None, # type: ignore
)
def invoke_next(g: GraphExecutionState, services: InvocationServices) -> tuple[BaseInvocation, BaseInvocationOutput]:
n = g.next()
if n is None:
return (None, None)
print(f'invoking {n.id}: {type(n)}')
o = n.invoke(InvocationContext(services, "1"))
g.complete(n.id, o)
return (n, o)
def test_graph_state_executes_in_order(simple_graph, mock_services):
g = GraphExecutionState(graph = simple_graph)
n1 = invoke_next(g, mock_services)
n2 = invoke_next(g, mock_services)
n3 = g.next()
assert g.prepared_source_mapping[n1[0].id] == "1"
assert g.prepared_source_mapping[n2[0].id] == "2"
assert n3 is None
assert g.results[n1[0].id].prompt == n1[0].prompt
assert n2[0].prompt == n1[0].prompt
def test_graph_is_complete(simple_graph, mock_services):
g = GraphExecutionState(graph = simple_graph)
n1 = invoke_next(g, mock_services)
n2 = invoke_next(g, mock_services)
n3 = g.next()
assert g.is_complete()
def test_graph_is_not_complete(simple_graph, mock_services):
g = GraphExecutionState(graph = simple_graph)
n1 = invoke_next(g, mock_services)
n2 = g.next()
assert not g.is_complete()
# TODO: test completion with iterators/subgraphs
def test_graph_state_expands_iterator(mock_services):
graph = Graph()
graph.add_node(RangeInvocation(id = "0", start = 0, stop = 3, step = 1))
graph.add_node(IterateInvocation(id = "1"))
graph.add_node(MultiplyInvocation(id = "2", b = 10))
graph.add_node(AddInvocation(id = "3", b = 1))
graph.add_edge(create_edge("0", "collection", "1", "collection"))
graph.add_edge(create_edge("1", "item", "2", "a"))
graph.add_edge(create_edge("2", "a", "3", "a"))
g = GraphExecutionState(graph = graph)
while not g.is_complete():
invoke_next(g, mock_services)
prepared_add_nodes = g.source_prepared_mapping['3']
results = set([g.results[n].a for n in prepared_add_nodes])
expected = set([1, 11, 21])
assert results == expected
def test_graph_state_collects(mock_services):
graph = Graph()
test_prompts = ["Banana sushi", "Cat sushi"]
graph.add_node(PromptCollectionTestInvocation(id = "1", collection = list(test_prompts)))
graph.add_node(IterateInvocation(id = "2"))
graph.add_node(PromptTestInvocation(id = "3"))
graph.add_node(CollectInvocation(id = "4"))
graph.add_edge(create_edge("1", "collection", "2", "collection"))
graph.add_edge(create_edge("2", "item", "3", "prompt"))
graph.add_edge(create_edge("3", "prompt", "4", "item"))
g = GraphExecutionState(graph = graph)
n1 = invoke_next(g, mock_services)
n2 = invoke_next(g, mock_services)
n3 = invoke_next(g, mock_services)
n4 = invoke_next(g, mock_services)
n5 = invoke_next(g, mock_services)
n6 = invoke_next(g, mock_services)
assert isinstance(n6[0], CollectInvocation)
assert sorted(g.results[n6[0].id].collection) == sorted(test_prompts)