InvokeAI/tests/nodes/test_nodes.py

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from typing import Any, Callable, Literal
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from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationContext
from invokeai.app.invocations.image import ImageField
from invokeai.app.services.invocation_services import InvocationServices
from pydantic import Field
import pytest
# Define test invocations before importing anything that uses invocations
class ListPassThroughInvocationOutput(BaseInvocationOutput):
type: Literal['test_list_output'] = 'test_list_output'
collection: list[ImageField] = Field(default_factory=list)
class ListPassThroughInvocation(BaseInvocation):
type: Literal['test_list'] = 'test_list'
collection: list[ImageField] = Field(default_factory=list)
def invoke(self, context: InvocationContext) -> ListPassThroughInvocationOutput:
return ListPassThroughInvocationOutput(collection = self.collection)
class PromptTestInvocationOutput(BaseInvocationOutput):
type: Literal['test_prompt_output'] = 'test_prompt_output'
prompt: str = Field(default = "")
class PromptTestInvocation(BaseInvocation):
type: Literal['test_prompt'] = 'test_prompt'
prompt: str = Field(default = "")
def invoke(self, context: InvocationContext) -> PromptTestInvocationOutput:
return PromptTestInvocationOutput(prompt = self.prompt)
class ErrorInvocation(BaseInvocation):
type: Literal['test_error'] = 'test_error'
def invoke(self, context: InvocationContext) -> PromptTestInvocationOutput:
raise Exception("This invocation is supposed to fail")
class ImageTestInvocationOutput(BaseInvocationOutput):
type: Literal['test_image_output'] = 'test_image_output'
image: ImageField = Field()
class ImageTestInvocation(BaseInvocation):
type: Literal['test_image'] = 'test_image'
prompt: str = Field(default = "")
def invoke(self, context: InvocationContext) -> ImageTestInvocationOutput:
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>
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return ImageTestInvocationOutput(image=ImageField(image_name=self.id, width=512, height=512, mode="", info={}))
class PromptCollectionTestInvocationOutput(BaseInvocationOutput):
type: Literal['test_prompt_collection_output'] = 'test_prompt_collection_output'
collection: list[str] = Field(default_factory=list)
class PromptCollectionTestInvocation(BaseInvocation):
type: Literal['test_prompt_collection'] = 'test_prompt_collection'
collection: list[str] = Field()
def invoke(self, context: InvocationContext) -> PromptCollectionTestInvocationOutput:
return PromptCollectionTestInvocationOutput(collection=self.collection.copy())
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from invokeai.app.services.events import EventServiceBase
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from invokeai.app.services.graph import Edge, EdgeConnection
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def create_edge(from_id: str, from_field: str, to_id: str, to_field: str) -> Edge:
return Edge(
source=EdgeConnection(node_id = from_id, field = from_field),
destination=EdgeConnection(node_id = to_id, field = to_field))
class TestEvent:
event_name: str
payload: Any
def __init__(self, event_name: str, payload: Any):
self.event_name = event_name
self.payload = payload
class TestEventService(EventServiceBase):
events: list
def __init__(self):
super().__init__()
self.events = list()
def dispatch(self, event_name: str, payload: Any) -> None:
pass
def wait_until(condition: Callable[[], bool], timeout: int = 10, interval: float = 0.1) -> None:
import time
start_time = time.time()
while time.time() - start_time < timeout:
if condition():
return
time.sleep(interval)
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raise TimeoutError("Condition not met")