You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
1936 lines
64 KiB
1936 lines
64 KiB
import { describe, it, expect, vi, beforeEach } from "vitest";
|
|
import { act, fireEvent, render, screen, waitFor, within } from "@testing-library/react";
|
|
import type { ReactNode } from "react";
|
|
import { GenerationComposer } from "@/components/composer/GenerationComposer";
|
|
import { clearPopiserverTaskPriceCacheForTests } from "@/hooks/usePopiserverTaskPrice";
|
|
import { useWorkflowStore } from "@/store/workflowStore";
|
|
import type {
|
|
EaseCurveNodeData,
|
|
GenerateAudioNodeData,
|
|
GenerateVideoNodeData,
|
|
ImageInputNodeData,
|
|
NanoBananaNodeData,
|
|
PromptNodeData,
|
|
SmartAudioNodeData,
|
|
SmartImageNodeData,
|
|
SmartVideoNodeData,
|
|
VideoStitchNodeData,
|
|
WorkflowEdge,
|
|
WorkflowNode,
|
|
} from "@/types";
|
|
|
|
vi.mock("@xyflow/react", async () => {
|
|
const actual = await vi.importActual("@xyflow/react");
|
|
return {
|
|
...actual,
|
|
useReactFlow: () => ({
|
|
screenToFlowPosition: (position: { x: number; y: number }) => position,
|
|
}),
|
|
useViewport: () => ({ x: 0, y: 0, zoom: 1 }),
|
|
ViewportPortal: ({ children }: { children: ReactNode }) => <>{children}</>,
|
|
};
|
|
});
|
|
|
|
vi.mock("@/components/modals/ModelSearchDialog", () => ({
|
|
ModelSearchDialog: (props: {
|
|
initialCapabilityFilter: string;
|
|
title?: string;
|
|
onModelSelected: (model: {
|
|
id: string;
|
|
name: string;
|
|
provider: "newapiwg" | "fal" | "kie";
|
|
capabilities: Array<"text-to-image" | "image-to-image" | "text-to-video" | "image-to-video" | "text-to-audio">;
|
|
}) => void;
|
|
}) => (
|
|
<div data-testid="model-dialog" data-filter={props.initialCapabilityFilter} data-title={props.title}>
|
|
<button
|
|
type="button"
|
|
onClick={() =>
|
|
props.onModelSelected({
|
|
id: "apiyi_seedream5.0",
|
|
name: "apiyi_seedream5.0",
|
|
provider: "newapiwg",
|
|
capabilities: ["text-to-image", "image-to-image"],
|
|
})
|
|
}
|
|
>
|
|
Select image model
|
|
</button>
|
|
<button
|
|
type="button"
|
|
onClick={() =>
|
|
props.onModelSelected({
|
|
id: "fal-video",
|
|
name: "Fal Video",
|
|
provider: "fal",
|
|
capabilities: ["text-to-video", "image-to-video"],
|
|
})
|
|
}
|
|
>
|
|
Select video model
|
|
</button>
|
|
<button
|
|
type="button"
|
|
onClick={() =>
|
|
props.onModelSelected({
|
|
id: "elevenlabs/sound-effect-v2",
|
|
name: "ElevenLabs Sound Effects v2",
|
|
provider: "kie",
|
|
capabilities: ["text-to-audio"],
|
|
})
|
|
}
|
|
>
|
|
Select audio model
|
|
</button>
|
|
</div>
|
|
),
|
|
}));
|
|
|
|
const originalActions = {
|
|
addNode: useWorkflowStore.getState().addNode,
|
|
updateNodeData: useWorkflowStore.getState().updateNodeData,
|
|
regenerateNode: useWorkflowStore.getState().regenerateNode,
|
|
selectSingleNode: useWorkflowStore.getState().selectSingleNode,
|
|
getConnectedInputs: useWorkflowStore.getState().getConnectedInputs,
|
|
};
|
|
|
|
function imageNode(id: string, selected = false, data: Partial<NanoBananaNodeData> = {}): WorkflowNode {
|
|
return {
|
|
id,
|
|
type: "nanoBanana",
|
|
selected,
|
|
position: { x: 0, y: 0 },
|
|
data: {
|
|
inputImages: [],
|
|
inputPrompt: "image prompt",
|
|
outputImage: null,
|
|
aspectRatio: "16:9",
|
|
resolution: "2K",
|
|
model: "nano-banana-pro",
|
|
selectedModel: {
|
|
provider: "newapiwg",
|
|
modelId: "apiyi_nano_banana_2",
|
|
displayName: "apiyi_nano_banana_2",
|
|
capabilities: ["text-to-image", "image-to-image"],
|
|
},
|
|
useGoogleSearch: false,
|
|
useImageSearch: false,
|
|
status: "idle",
|
|
error: null,
|
|
imageHistory: [],
|
|
selectedHistoryIndex: 0,
|
|
...data,
|
|
},
|
|
} as WorkflowNode;
|
|
}
|
|
|
|
function pricedImageNode(id: string, selected = false, data: Partial<NanoBananaNodeData> = {}): WorkflowNode {
|
|
return imageNode(id, selected, {
|
|
selectedModel: {
|
|
provider: "newapiwg",
|
|
modelId: "wan-2.7",
|
|
displayName: "万相 2.7",
|
|
capabilities: ["text-to-image", "image-to-image"],
|
|
pricing: { type: "per-run", amount: 2 },
|
|
},
|
|
...data,
|
|
});
|
|
}
|
|
|
|
function imageInputNode(id: string, selected = false, data: Partial<ImageInputNodeData> = {}): WorkflowNode {
|
|
return {
|
|
id,
|
|
type: "imageInput",
|
|
selected,
|
|
position: { x: 0, y: 0 },
|
|
data: {
|
|
image: "data:image/png;base64,input",
|
|
filename: "input.png",
|
|
dimensions: { width: 640, height: 480 },
|
|
...data,
|
|
},
|
|
} as WorkflowNode;
|
|
}
|
|
|
|
function videoNode(id: string, selected = false, data: Partial<GenerateVideoNodeData> = {}): WorkflowNode {
|
|
return {
|
|
id,
|
|
type: "generateVideo",
|
|
selected,
|
|
position: { x: 0, y: 0 },
|
|
data: {
|
|
inputImages: [],
|
|
inputPrompt: "video prompt",
|
|
outputVideo: null,
|
|
selectedModel: {
|
|
provider: "newapiwg",
|
|
modelId: "doubao-seedance-2-0-260128",
|
|
displayName: "doubao-seedance-2-0-260128",
|
|
capabilities: ["text-to-video", "image-to-video"],
|
|
},
|
|
parameters: {},
|
|
parameterSchema: [
|
|
{
|
|
name: "duration",
|
|
type: "integer",
|
|
label: "Duration",
|
|
options: [
|
|
{ label: "4", value: "4" },
|
|
{ label: "6", value: "6" },
|
|
{ label: "8", value: "8" },
|
|
],
|
|
},
|
|
{
|
|
name: "resolution",
|
|
type: "string",
|
|
label: "Resolution",
|
|
options: [
|
|
{ label: "720p", value: "720p" },
|
|
{ label: "1080p", value: "1080p" },
|
|
],
|
|
},
|
|
{ name: "sound", type: "boolean", label: "Sound" },
|
|
],
|
|
status: "idle",
|
|
error: null,
|
|
videoHistory: [],
|
|
selectedVideoHistoryIndex: 0,
|
|
...data,
|
|
},
|
|
} as WorkflowNode;
|
|
}
|
|
|
|
function audioNode(id: string, selected = false, data: Partial<GenerateAudioNodeData> = {}): WorkflowNode {
|
|
return {
|
|
id,
|
|
type: "generateAudio",
|
|
selected,
|
|
position: { x: 0, y: 0 },
|
|
data: {
|
|
inputPrompt: "audio prompt",
|
|
outputAudio: null,
|
|
selectedModel: {
|
|
provider: "kie",
|
|
modelId: "elevenlabs/turbo-v2.5",
|
|
displayName: "ElevenLabs Turbo v2.5",
|
|
capabilities: ["text-to-audio"],
|
|
},
|
|
parameters: {},
|
|
parameterSchema: [
|
|
{
|
|
name: "duration",
|
|
type: "integer",
|
|
label: "Duration",
|
|
options: [
|
|
{ label: "4", value: "4" },
|
|
{ label: "6", value: "6" },
|
|
{ label: "8", value: "8" },
|
|
],
|
|
},
|
|
{
|
|
name: "resolution",
|
|
type: "string",
|
|
label: "Resolution",
|
|
options: [
|
|
{ label: "720p", value: "720p" },
|
|
{ label: "1080p", value: "1080p" },
|
|
],
|
|
},
|
|
{ name: "sound", type: "boolean", label: "Sound" },
|
|
],
|
|
status: "idle",
|
|
error: null,
|
|
audioHistory: [],
|
|
selectedAudioHistoryIndex: 0,
|
|
duration: null,
|
|
format: null,
|
|
...data,
|
|
},
|
|
} as WorkflowNode;
|
|
}
|
|
|
|
function smartImageNode(id: string, selected = false, data: Partial<SmartImageNodeData> = {}): WorkflowNode {
|
|
return {
|
|
...imageNode(id, selected, data),
|
|
type: "smartImage",
|
|
} as WorkflowNode;
|
|
}
|
|
|
|
function smartVideoNode(id: string, selected = false, data: Partial<SmartVideoNodeData> = {}): WorkflowNode {
|
|
return {
|
|
...videoNode(id, selected, data),
|
|
type: "smartVideo",
|
|
} as WorkflowNode;
|
|
}
|
|
|
|
function smartAudioNode(id: string, selected = false, data: Partial<SmartAudioNodeData> = {}): WorkflowNode {
|
|
return {
|
|
...audioNode(id, selected, data),
|
|
type: "smartAudio",
|
|
} as WorkflowNode;
|
|
}
|
|
|
|
function videoStitchNode(id: string, selected = false, data: Partial<VideoStitchNodeData> = {}): WorkflowNode {
|
|
return {
|
|
id,
|
|
type: "videoStitch",
|
|
selected,
|
|
position: { x: 0, y: 0 },
|
|
data: {
|
|
clips: [],
|
|
clipOrder: [],
|
|
outputVideo: null,
|
|
loopCount: 1,
|
|
status: "idle",
|
|
error: null,
|
|
progress: 0,
|
|
encoderSupported: true,
|
|
...data,
|
|
},
|
|
} as WorkflowNode;
|
|
}
|
|
|
|
function easeCurveNode(id: string, selected = false, data: Partial<EaseCurveNodeData> = {}): WorkflowNode {
|
|
return {
|
|
id,
|
|
type: "easeCurve",
|
|
selected,
|
|
position: { x: 0, y: 0 },
|
|
data: {
|
|
bezierHandles: [0.42, 0, 0.58, 1],
|
|
easingPreset: "easeInOutSine",
|
|
inheritedFrom: null,
|
|
outputDuration: 5,
|
|
outputVideo: null,
|
|
status: "idle",
|
|
error: null,
|
|
progress: 0,
|
|
encoderSupported: true,
|
|
...data,
|
|
},
|
|
} as WorkflowNode;
|
|
}
|
|
|
|
function promptNode(id: string, prompt: string, selected = false): WorkflowNode {
|
|
return {
|
|
id,
|
|
type: "prompt",
|
|
selected,
|
|
position: { x: 0, y: 0 },
|
|
data: { prompt } satisfies PromptNodeData,
|
|
} as WorkflowNode;
|
|
}
|
|
|
|
function textEdge(source: string, target: string): WorkflowEdge {
|
|
return {
|
|
id: `edge-${source}-${target}-text-text`,
|
|
source,
|
|
sourceHandle: "text",
|
|
target,
|
|
targetHandle: "text",
|
|
data: {},
|
|
} as WorkflowEdge;
|
|
}
|
|
|
|
function imageEdge(source: string, target: string, index: number, targetHandle = `image-${index}`): WorkflowEdge {
|
|
return {
|
|
id: `edge-${source}-${target}-image-${index}`,
|
|
source,
|
|
sourceHandle: "image",
|
|
target,
|
|
targetHandle,
|
|
data: { createdAt: index },
|
|
} as WorkflowEdge;
|
|
}
|
|
|
|
function videoEdge(source: string, target: string, index: number, targetHandle = `video-${index}`): WorkflowEdge {
|
|
return {
|
|
id: `edge-${source}-${target}-video-${index}`,
|
|
source,
|
|
sourceHandle: "video",
|
|
target,
|
|
targetHandle,
|
|
data: { createdAt: index },
|
|
} as WorkflowEdge;
|
|
}
|
|
|
|
function audioEdge(source: string, target: string, index: number, targetHandle = `audio-${index}`): WorkflowEdge {
|
|
return {
|
|
id: `edge-${source}-${target}-audio-${index}`,
|
|
source,
|
|
sourceHandle: "audio",
|
|
target,
|
|
targetHandle,
|
|
data: { createdAt: index },
|
|
} as WorkflowEdge;
|
|
}
|
|
|
|
describe("GenerationComposer", () => {
|
|
beforeEach(() => {
|
|
vi.clearAllMocks();
|
|
clearPopiserverTaskPriceCacheForTests();
|
|
useWorkflowStore.setState({
|
|
nodes: [],
|
|
edges: [],
|
|
dimmedNodeIds: new Set<string>(),
|
|
isRunning: false,
|
|
isModalOpen: false,
|
|
addNode: originalActions.addNode,
|
|
updateNodeData: originalActions.updateNodeData,
|
|
regenerateNode: vi.fn().mockResolvedValue(undefined) as typeof originalActions.regenerateNode,
|
|
selectSingleNode: originalActions.selectSingleNode,
|
|
getConnectedInputs: originalActions.getConnectedInputs,
|
|
});
|
|
});
|
|
|
|
it("does not render when no node is selected", () => {
|
|
render(<GenerationComposer />);
|
|
|
|
expect(screen.queryByTestId("node-inline-composer")).not.toBeInTheDocument();
|
|
expect(screen.queryByLabelText("Generate")).not.toBeInTheDocument();
|
|
});
|
|
|
|
it("does not render a single-node editor for multi-select", () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
imageNode("img-1", true),
|
|
imageNode("img-2", true),
|
|
],
|
|
});
|
|
|
|
render(<GenerationComposer />);
|
|
|
|
expect(screen.queryByTestId("node-inline-composer")).not.toBeInTheDocument();
|
|
expect(screen.queryByLabelText("Generate")).not.toBeInTheDocument();
|
|
});
|
|
|
|
it("centers the selected node editor below the selected node", () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
{
|
|
...imageNode("img-1", true),
|
|
position: { x: 500, y: 240 },
|
|
measured: { width: 260, height: 180 },
|
|
} as WorkflowNode,
|
|
],
|
|
});
|
|
|
|
render(<GenerationComposer />);
|
|
|
|
expect(screen.getByTestId("node-inline-composer")).toHaveStyle({
|
|
left: "108px",
|
|
top: "436px",
|
|
});
|
|
expect(screen.getByTestId("node-inline-composer-panel")).toHaveStyle({
|
|
width: "900px",
|
|
});
|
|
expect(screen.getByPlaceholderText(/Describe what you want to generate/)).toHaveClass("h-[13.5rem]");
|
|
});
|
|
|
|
it("positions the selected node editor below grouped nodes using absolute canvas coordinates", () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
{
|
|
id: "group-node-group-1",
|
|
type: "group",
|
|
position: { x: 400, y: 200 },
|
|
data: { groupId: "group-1" },
|
|
style: { width: 500, height: 360 },
|
|
} as WorkflowNode,
|
|
{
|
|
...imageNode("img-1", true),
|
|
parentId: "group-node-group-1",
|
|
extent: "parent",
|
|
expandParent: true,
|
|
groupId: "group-1",
|
|
position: { x: 100, y: 40 },
|
|
measured: { width: 260, height: 180 },
|
|
} as WorkflowNode,
|
|
],
|
|
});
|
|
|
|
render(<GenerationComposer />);
|
|
|
|
expect(screen.getByTestId("node-inline-composer")).toHaveStyle({
|
|
left: "108px",
|
|
top: "436px",
|
|
});
|
|
});
|
|
|
|
it("keeps the selected node editor below the node when below would leave the viewport", () => {
|
|
const originalInnerHeight = window.innerHeight;
|
|
const originalInnerWidth = window.innerWidth;
|
|
Object.defineProperty(window, "innerHeight", { configurable: true, value: 500 });
|
|
Object.defineProperty(window, "innerWidth", { configurable: true, value: 800 });
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
{
|
|
...imageNode("img-1", true),
|
|
position: { x: 80, y: 420 },
|
|
measured: { width: 240, height: 100 },
|
|
} as WorkflowNode,
|
|
],
|
|
});
|
|
|
|
render(<GenerationComposer />);
|
|
|
|
expect(screen.getByTestId("node-inline-composer")).toHaveStyle({
|
|
left: "16px",
|
|
top: "536px",
|
|
});
|
|
Object.defineProperty(window, "innerHeight", { configurable: true, value: originalInnerHeight });
|
|
Object.defineProperty(window, "innerWidth", { configurable: true, value: originalInnerWidth });
|
|
});
|
|
|
|
it("reruns the selected image node without creating another node", async () => {
|
|
useWorkflowStore.setState({ nodes: [imageNode("img-1", true)] });
|
|
render(<GenerationComposer />);
|
|
|
|
const prompt = screen.getByPlaceholderText(/Describe what you want to generate/) as HTMLTextAreaElement;
|
|
fireEvent.change(prompt, { target: { value: "edited image prompt" } });
|
|
fireEvent.click(screen.getByLabelText("Generate"));
|
|
|
|
await waitFor(() => {
|
|
expect(useWorkflowStore.getState().regenerateNode).toHaveBeenCalledWith("img-1");
|
|
});
|
|
expect((useWorkflowStore.getState().nodes[0].data as NanoBananaNodeData).inputPrompt).toBe("edited image prompt");
|
|
expect(useWorkflowStore.getState().nodes).toHaveLength(1);
|
|
});
|
|
|
|
it("converts a selected smart image node to nanoBanana before generating", async () => {
|
|
useWorkflowStore.setState({ nodes: [smartImageNode("smart-img-1", true)] });
|
|
render(<GenerationComposer />);
|
|
|
|
const prompt = screen.getByPlaceholderText(/Describe what you want to generate/) as HTMLTextAreaElement;
|
|
fireEvent.change(prompt, { target: { value: "smart image prompt" } });
|
|
fireEvent.click(screen.getByLabelText("Generate"));
|
|
|
|
await waitFor(() => {
|
|
expect(useWorkflowStore.getState().regenerateNode).toHaveBeenCalledWith("smart-img-1");
|
|
});
|
|
const node = useWorkflowStore.getState().nodes[0];
|
|
expect(node.type).toBe("nanoBanana");
|
|
expect((node.data as NanoBananaNodeData).inputPrompt).toBe("smart image prompt");
|
|
});
|
|
|
|
it("converts a selected smart video node to generateVideo before generating", async () => {
|
|
useWorkflowStore.setState({ nodes: [smartVideoNode("smart-vid-1", true)] });
|
|
render(<GenerationComposer />);
|
|
|
|
const prompt = screen.getByPlaceholderText(/Describe what you want to generate/) as HTMLTextAreaElement;
|
|
fireEvent.change(prompt, { target: { value: "smart video prompt" } });
|
|
fireEvent.click(screen.getByLabelText("Generate"));
|
|
|
|
await waitFor(() => {
|
|
expect(useWorkflowStore.getState().regenerateNode).toHaveBeenCalledWith("smart-vid-1");
|
|
});
|
|
const node = useWorkflowStore.getState().nodes[0];
|
|
expect(node.type).toBe("generateVideo");
|
|
expect((node.data as GenerateVideoNodeData).inputPrompt).toBe("smart video prompt");
|
|
});
|
|
|
|
it("converts a selected smart audio node to generateAudio before generating", async () => {
|
|
useWorkflowStore.setState({ nodes: [smartAudioNode("smart-aud-1", true)] });
|
|
render(<GenerationComposer />);
|
|
|
|
const prompt = screen.getByPlaceholderText(/Describe what you want to generate/) as HTMLTextAreaElement;
|
|
fireEvent.change(prompt, { target: { value: "smart audio prompt" } });
|
|
fireEvent.click(screen.getByLabelText("Generate"));
|
|
|
|
await waitFor(() => {
|
|
expect(useWorkflowStore.getState().regenerateNode).toHaveBeenCalledWith("smart-aud-1");
|
|
});
|
|
const node = useWorkflowStore.getState().nodes[0];
|
|
expect(node.type).toBe("generateAudio");
|
|
expect((node.data as GenerateAudioNodeData).inputPrompt).toBe("smart audio prompt");
|
|
});
|
|
|
|
it("does not let composer clicks bubble into the canvas selection layer", () => {
|
|
const onPointerDown = vi.fn();
|
|
const onMouseDown = vi.fn();
|
|
const onClick = vi.fn();
|
|
useWorkflowStore.setState({ nodes: [imageNode("img-1", true)] });
|
|
|
|
render(
|
|
<div onPointerDown={onPointerDown} onMouseDown={onMouseDown} onClick={onClick}>
|
|
<GenerationComposer />
|
|
</div>
|
|
);
|
|
|
|
const generateButton = screen.getByLabelText("Generate");
|
|
fireEvent.pointerDown(generateButton);
|
|
fireEvent.mouseDown(generateButton);
|
|
fireEvent.click(generateButton);
|
|
|
|
expect(onPointerDown).not.toHaveBeenCalled();
|
|
expect(onMouseDown).not.toHaveBeenCalled();
|
|
expect(onClick).not.toHaveBeenCalled();
|
|
});
|
|
|
|
it("opens the reference menu when @ is typed in the middle of the prompt", () => {
|
|
useWorkflowStore.setState({ nodes: [imageNode("img-1", true, { inputPrompt: "before after" })] });
|
|
render(<GenerationComposer />);
|
|
|
|
const prompt = screen.getByDisplayValue("before after") as HTMLTextAreaElement;
|
|
prompt.setSelectionRange(7, 7);
|
|
fireEvent.change(prompt, { target: { value: "before @after", selectionStart: 8, selectionEnd: 8 } });
|
|
|
|
expect(screen.getByText("Reference assets")).toBeInTheDocument();
|
|
fireEvent.click(screen.getByText("Canvas assets"));
|
|
|
|
expect(prompt).toHaveValue("before @Canvas assets after");
|
|
});
|
|
|
|
it("opens the command menu when / is typed in the middle of the prompt", () => {
|
|
useWorkflowStore.setState({ nodes: [imageNode("img-1", true, { inputPrompt: "before after" })] });
|
|
render(<GenerationComposer />);
|
|
|
|
const prompt = screen.getByDisplayValue("before after") as HTMLTextAreaElement;
|
|
prompt.setSelectionRange(7, 7);
|
|
fireEvent.change(prompt, { target: { value: "before /after", selectionStart: 8, selectionEnd: 8 } });
|
|
|
|
expect(screen.getByText("Commands")).toBeInTheDocument();
|
|
fireEvent.click(screen.getByText("Character image"));
|
|
|
|
expect(prompt.value).toMatch(/^before Generate a character image/);
|
|
expect(prompt.value).toContain("after");
|
|
});
|
|
|
|
it("selects reference menu items with arrow keys and enter", () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
imageNode("img-1", true, {
|
|
inputPrompt: "before after",
|
|
inputImages: ["data:image/png;base64,first", "data:image/png;base64,second"],
|
|
}),
|
|
],
|
|
});
|
|
render(<GenerationComposer />);
|
|
|
|
const prompt = screen.getByDisplayValue("before after") as HTMLTextAreaElement;
|
|
prompt.setSelectionRange(7, 7);
|
|
fireEvent.change(prompt, { target: { value: "before @after", selectionStart: 8, selectionEnd: 8 } });
|
|
fireEvent.keyDown(prompt, { key: "ArrowDown" });
|
|
fireEvent.keyDown(prompt, { key: "Enter" });
|
|
|
|
expect(prompt).toHaveValue("before @图2 after");
|
|
});
|
|
|
|
it("selects command menu items with arrow keys and enter", () => {
|
|
useWorkflowStore.setState({ nodes: [imageNode("img-1", true, { inputPrompt: "before after" })] });
|
|
render(<GenerationComposer />);
|
|
|
|
const prompt = screen.getByDisplayValue("before after") as HTMLTextAreaElement;
|
|
prompt.setSelectionRange(7, 7);
|
|
fireEvent.change(prompt, { target: { value: "before /after", selectionStart: 8, selectionEnd: 8 } });
|
|
fireEvent.keyDown(prompt, { key: "ArrowDown" });
|
|
fireEvent.keyDown(prompt, { key: "Enter" });
|
|
|
|
expect(prompt.value).toMatch(/^before Generate a character turnaround/);
|
|
expect(prompt.value).toContain("after");
|
|
});
|
|
|
|
it("hides the temporary translate and settings actions", () => {
|
|
useWorkflowStore.setState({ nodes: [imageNode("img-1", true)] });
|
|
render(<GenerationComposer />);
|
|
|
|
expect(screen.queryByRole("button", { name: "Translate" })).not.toBeInTheDocument();
|
|
expect(screen.queryByRole("button", { name: "Settings" })).not.toBeInTheDocument();
|
|
});
|
|
|
|
it("does not render multi-angle controls in the bottom composer", () => {
|
|
useWorkflowStore.setState({ nodes: [imageInputNode("input-1", true)] });
|
|
render(<GenerationComposer />);
|
|
|
|
expect(screen.queryByRole("button", { name: "Multi-angle" })).not.toBeInTheDocument();
|
|
expect(screen.queryByText("Multi-Angle Editor")).not.toBeInTheDocument();
|
|
});
|
|
|
|
it("collapses and expands the bottom composer without losing the selected node context", () => {
|
|
useWorkflowStore.setState({ nodes: [imageNode("img-1", true, { inputPrompt: "visible prompt" })] });
|
|
render(<GenerationComposer />);
|
|
|
|
expect(screen.getByDisplayValue("visible prompt")).toBeInTheDocument();
|
|
fireEvent.click(screen.getByLabelText("Collapse composer"));
|
|
|
|
expect(screen.queryByDisplayValue("visible prompt")).not.toBeInTheDocument();
|
|
expect(screen.getByText("apiyi_nano_banana_2")).toBeInTheDocument();
|
|
expect(screen.getByText("visible prompt")).toBeInTheDocument();
|
|
|
|
fireEvent.click(screen.getByLabelText("Expand composer"));
|
|
expect(screen.getByDisplayValue("visible prompt")).toBeInTheDocument();
|
|
});
|
|
|
|
it("expands the collapsed composer when clicking the summary content", () => {
|
|
useWorkflowStore.setState({ nodes: [imageNode("img-1", true, { inputPrompt: "visible prompt" })] });
|
|
render(<GenerationComposer />);
|
|
|
|
fireEvent.click(screen.getByLabelText("Collapse composer"));
|
|
fireEvent.click(screen.getByText("visible prompt"));
|
|
|
|
expect(screen.getByDisplayValue("visible prompt")).toBeInTheDocument();
|
|
});
|
|
|
|
it("opens model selection from the collapsed model label without expanding", () => {
|
|
useWorkflowStore.setState({ nodes: [imageNode("img-1", true, { inputPrompt: "visible prompt" })] });
|
|
render(<GenerationComposer />);
|
|
|
|
fireEvent.click(screen.getByLabelText("Collapse composer"));
|
|
fireEvent.click(screen.getByLabelText("Select model"));
|
|
|
|
expect(screen.getByTestId("model-dialog")).toHaveAttribute("data-filter", "image");
|
|
expect(screen.queryByDisplayValue("visible prompt")).not.toBeInTheDocument();
|
|
});
|
|
|
|
it("shows the concrete selected image model name in the composer", async () => {
|
|
useWorkflowStore.setState({ nodes: [imageNode("img-1", true)] });
|
|
render(<GenerationComposer />);
|
|
|
|
fireEvent.click(screen.getByLabelText("Select model"));
|
|
fireEvent.click(screen.getByText("Select image model"));
|
|
|
|
await waitFor(() => {
|
|
expect(screen.getByText("apiyi_seedream5.0")).toBeInTheDocument();
|
|
});
|
|
expect(screen.queryByText("PopiArt Nano Pro")).not.toBeInTheDocument();
|
|
expect((useWorkflowStore.getState().nodes[0].data as NanoBananaNodeData).selectedModel?.displayName)
|
|
.toBe("apiyi_seedream5.0");
|
|
});
|
|
|
|
it("shows NewApiWG point cost on the generate button when model pricing is available", () => {
|
|
useWorkflowStore.setState({ nodes: [pricedImageNode("img-1", true)] });
|
|
render(<GenerationComposer />);
|
|
|
|
expect(screen.getByRole("button", { name: "2 points" })).toBeInTheDocument();
|
|
});
|
|
|
|
it("multiplies NewApiWG image point cost by image count", () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [pricedImageNode("img-1", true, { imageCount: 4 })],
|
|
});
|
|
render(<GenerationComposer />);
|
|
|
|
expect(screen.getByRole("button", { name: "8 points" })).toBeInTheDocument();
|
|
});
|
|
|
|
it("uses NewApiWG pricing variant matching the selected resolution", () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
imageNode("img-1", true, {
|
|
resolution: "4K",
|
|
selectedModel: {
|
|
provider: "newapiwg",
|
|
modelId: "apiyi_nano_banana_2",
|
|
displayName: "apiyi_nano_banana_2",
|
|
capabilities: ["text-to-image", "image-to-image"],
|
|
pricing: {
|
|
type: "per-run",
|
|
amount: 15,
|
|
variants: [
|
|
{ dimensions: { size: "1k" }, amount: 15 },
|
|
{ dimensions: { size: "4k" }, amount: 24 },
|
|
],
|
|
},
|
|
},
|
|
}),
|
|
],
|
|
});
|
|
render(<GenerationComposer />);
|
|
|
|
expect(screen.getByRole("button", { name: "24 points" })).toBeInTheDocument();
|
|
});
|
|
|
|
it("uses NewApiWG video pricing variant matching duration, resolution, sound, and reference input", () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
videoNode("vid-1", true, {
|
|
inputImages: ["data:image/png;base64,ref"],
|
|
durationSeconds: 4,
|
|
resolution: "720p",
|
|
soundEnabled: true,
|
|
selectedModel: {
|
|
provider: "newapiwg",
|
|
modelId: "viduq3-turbo",
|
|
displayName: "viduq3-turbo",
|
|
capabilities: ["text-to-video", "image-to-video"],
|
|
pricing: {
|
|
type: "per-run",
|
|
amount: 20,
|
|
variants: [
|
|
{
|
|
dimensions: {
|
|
action: "textgenerate",
|
|
duration: "4s",
|
|
resolution: "720p",
|
|
has_video_input: false,
|
|
has_sound: true,
|
|
},
|
|
amount: 55,
|
|
},
|
|
{
|
|
dimensions: {
|
|
action: "referencegenerate",
|
|
duration: "4s",
|
|
resolution: "720p",
|
|
has_video_input: true,
|
|
has_sound: true,
|
|
},
|
|
amount: 70,
|
|
},
|
|
],
|
|
},
|
|
},
|
|
}),
|
|
],
|
|
});
|
|
render(<GenerationComposer />);
|
|
|
|
expect(screen.getByRole("button", { name: "70 points" })).toBeInTheDocument();
|
|
});
|
|
|
|
it("uses live Seedance video point estimates from NewApiWG", async () => {
|
|
const fetchMock = vi.fn(async (input: RequestInfo | URL) => {
|
|
const url = String(input);
|
|
if (url.startsWith("/api/points/estimate")) {
|
|
return new Response(JSON.stringify({
|
|
success: true,
|
|
data: {
|
|
estimated_points: 123,
|
|
},
|
|
}), { status: 200 });
|
|
}
|
|
if (url.startsWith("/api/models")) {
|
|
return new Response(JSON.stringify({ success: true, models: [] }), { status: 200 });
|
|
}
|
|
throw new Error(`Unexpected fetch: ${url}`);
|
|
});
|
|
vi.stubGlobal("fetch", fetchMock);
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
videoNode("vid-1", true, {
|
|
durationSeconds: 5,
|
|
resolution: "720p",
|
|
selectedModel: {
|
|
provider: "newapiwg",
|
|
modelId: "doubao-seedance-2-0-260128",
|
|
displayName: "doubao-seedance-2-0-260128",
|
|
capabilities: ["text-to-video", "image-to-video"],
|
|
},
|
|
}),
|
|
],
|
|
});
|
|
|
|
render(<GenerationComposer />);
|
|
|
|
await waitFor(() => {
|
|
expect(screen.getByRole("button", { name: "123 points" })).toBeInTheDocument();
|
|
});
|
|
const estimateCall = fetchMock.mock.calls.find(([input]) => String(input).startsWith("/api/points/estimate"));
|
|
expect(estimateCall).toBeDefined();
|
|
expect(fetchMock.mock.calls.some(([input]) => String(input).startsWith("/api/models"))).toBe(false);
|
|
expect(estimateCall?.[1]).toMatchObject({
|
|
method: "POST",
|
|
headers: { "Content-Type": "application/json" },
|
|
});
|
|
expect(JSON.parse(String((estimateCall?.[1] as RequestInit).body))).toEqual({
|
|
modelName: "doubao-seedance-2-0-260128",
|
|
estimationType: "seedance_video",
|
|
seedanceVideo: {
|
|
resolution: "720p",
|
|
aspect_ratio: "16:9",
|
|
input_video_duration_seconds: 0,
|
|
output_video_duration_seconds: 5,
|
|
},
|
|
});
|
|
});
|
|
|
|
it("uses PopiServer task price estimates for selected image models", async () => {
|
|
const fetchMock = vi.fn(async (input: RequestInfo | URL) => {
|
|
const url = String(input);
|
|
if (url.startsWith("/api/points/calculate-task-price")) {
|
|
return new Response(JSON.stringify({
|
|
success: true,
|
|
data: {
|
|
taskPrice: 36,
|
|
},
|
|
}), { status: 200 });
|
|
}
|
|
throw new Error(`Unexpected fetch: ${url}`);
|
|
});
|
|
vi.stubGlobal("fetch", fetchMock);
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
imageNode("img-1", true, {
|
|
imageCount: 4,
|
|
parameterSchema: [],
|
|
selectedModel: {
|
|
provider: "popiserver",
|
|
modelId: "32",
|
|
displayName: "Popi Image",
|
|
capabilities: ["text-to-image", "image-to-image"],
|
|
metadata: {
|
|
aiModelId: 32,
|
|
aiModelCode: "gpt-image-2-all",
|
|
aiModelCodeAlias: "gpt-image-2-all",
|
|
type: 1,
|
|
subType: 102,
|
|
billingMethod: 1,
|
|
},
|
|
},
|
|
}),
|
|
],
|
|
});
|
|
|
|
render(<GenerationComposer />);
|
|
|
|
await waitFor(() => {
|
|
expect(screen.getByRole("button", { name: "36 points" })).toBeInTheDocument();
|
|
});
|
|
const priceCall = fetchMock.mock.calls.find(([input]) => String(input).startsWith("/api/points/calculate-task-price"));
|
|
expect(priceCall).toBeDefined();
|
|
expect(JSON.parse(String((priceCall?.[1] as RequestInit).body))).toMatchObject({
|
|
type: 1,
|
|
subType: 102,
|
|
aiModelId: 32,
|
|
aiModelCode: "gpt-image-2-all",
|
|
aiModelCodeAlias: "gpt-image-2-all",
|
|
model: "gpt-image-2-all",
|
|
aspectRatio: "16:9",
|
|
ratio: "16:9",
|
|
resolution: "2K",
|
|
width: 1280,
|
|
height: 720,
|
|
batchSize: 4,
|
|
});
|
|
});
|
|
|
|
it("normalizes PopiServer image price resolution to the active schema option", async () => {
|
|
const fetchMock = vi.fn(async (input: RequestInfo | URL) => {
|
|
const url = String(input);
|
|
if (url.startsWith("/api/points/calculate-task-price")) {
|
|
return new Response(JSON.stringify({
|
|
success: true,
|
|
data: {
|
|
taskPrice: 36,
|
|
},
|
|
}), { status: 200 });
|
|
}
|
|
throw new Error(`Unexpected fetch: ${url}`);
|
|
});
|
|
vi.stubGlobal("fetch", fetchMock);
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
imageNode("img-1", true, {
|
|
resolution: "2K",
|
|
config: {
|
|
aspectRatio: "16:9",
|
|
resolution: "2K",
|
|
imageCount: 1,
|
|
selectedModel: {
|
|
provider: "popiserver",
|
|
modelId: "33",
|
|
displayName: "gpt-image-2-vip",
|
|
capabilities: ["text-to-image", "image-to-image"],
|
|
metadata: {
|
|
aiModelId: 33,
|
|
aiModelCode: "gpt-image-2-vip",
|
|
aiModelCodeAlias: "gpt-image-2-vip",
|
|
type: 1,
|
|
subType: 103,
|
|
billingMethod: 1,
|
|
},
|
|
pricing: {
|
|
type: "per-run",
|
|
amount: 36,
|
|
variants: [
|
|
{ dimensions: { resolution: "4K" }, amount: 36 },
|
|
],
|
|
},
|
|
},
|
|
parameters: {},
|
|
},
|
|
parameterSchema: [
|
|
{
|
|
name: "resolution",
|
|
type: "string",
|
|
label: "Resolution",
|
|
options: [
|
|
{ label: "4K", value: "4K" },
|
|
],
|
|
default: "4K",
|
|
},
|
|
],
|
|
selectedModel: {
|
|
provider: "popiserver",
|
|
modelId: "33",
|
|
displayName: "gpt-image-2-vip",
|
|
capabilities: ["text-to-image", "image-to-image"],
|
|
metadata: {
|
|
aiModelId: 33,
|
|
aiModelCode: "gpt-image-2-vip",
|
|
aiModelCodeAlias: "gpt-image-2-vip",
|
|
type: 1,
|
|
subType: 103,
|
|
billingMethod: 1,
|
|
},
|
|
pricing: {
|
|
type: "per-run",
|
|
amount: 36,
|
|
variants: [
|
|
{ dimensions: { resolution: "4K" }, amount: 36 },
|
|
],
|
|
},
|
|
},
|
|
}),
|
|
],
|
|
});
|
|
|
|
render(<GenerationComposer />);
|
|
|
|
await waitFor(() => {
|
|
const data = useWorkflowStore.getState().nodes[0].data as NanoBananaNodeData;
|
|
expect(data.resolution).toBe("4K");
|
|
expect(data.config?.resolution).toBe("4K");
|
|
});
|
|
|
|
await waitFor(() => {
|
|
expect(fetchMock.mock.calls.some(([input, init]) => {
|
|
if (!String(input).startsWith("/api/points/calculate-task-price")) return false;
|
|
return JSON.parse(String((init as RequestInit).body)).resolution === "4K";
|
|
})).toBe(true);
|
|
});
|
|
const priceCall = fetchMock.mock.calls.find(([input, init]) => {
|
|
if (!String(input).startsWith("/api/points/calculate-task-price")) return false;
|
|
return JSON.parse(String((init as RequestInit).body)).resolution === "4K";
|
|
});
|
|
expect(priceCall).toBeDefined();
|
|
expect(JSON.parse(String((priceCall?.[1] as RequestInit).body))).toMatchObject({
|
|
aiModelId: 33,
|
|
model: "gpt-image-2-vip",
|
|
aspectRatio: "16:9",
|
|
ratio: "16:9",
|
|
resolution: "4K",
|
|
width: 1280,
|
|
height: 720,
|
|
batchSize: 1,
|
|
});
|
|
});
|
|
|
|
it("reuses an in-flight PopiServer task price request across remounts", async () => {
|
|
let resolveTaskPrice: (response: Response) => void = () => undefined;
|
|
const taskPriceResponse = new Promise<Response>((resolve) => {
|
|
resolveTaskPrice = resolve;
|
|
});
|
|
const fetchMock = vi.fn((input: RequestInfo | URL) => {
|
|
const url = String(input);
|
|
if (url.startsWith("/api/points/calculate-task-price")) {
|
|
return taskPriceResponse;
|
|
}
|
|
if (url.startsWith("/api/models")) {
|
|
return Promise.resolve(new Response(JSON.stringify({ success: true, models: [] }), { status: 200 }));
|
|
}
|
|
return Promise.reject(new Error(`Unexpected fetch: ${url}`));
|
|
});
|
|
vi.stubGlobal("fetch", fetchMock);
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
imageNode("img-1", true, {
|
|
imageCount: 4,
|
|
parameterSchema: [],
|
|
selectedModel: {
|
|
provider: "popiserver",
|
|
modelId: "32",
|
|
displayName: "Popi Image",
|
|
capabilities: ["text-to-image", "image-to-image"],
|
|
metadata: {
|
|
aiModelId: 32,
|
|
aiModelCode: "gpt-image-2-all",
|
|
aiModelCodeAlias: "gpt-image-2-all",
|
|
type: 1,
|
|
subType: 102,
|
|
billingMethod: 1,
|
|
},
|
|
},
|
|
}),
|
|
],
|
|
});
|
|
|
|
const firstRender = render(<GenerationComposer />);
|
|
await waitFor(() => {
|
|
expect(fetchMock).toHaveBeenCalledTimes(1);
|
|
});
|
|
|
|
firstRender.unmount();
|
|
render(<GenerationComposer />);
|
|
|
|
await waitFor(() => {
|
|
expect(screen.getByTestId("node-inline-composer")).toBeInTheDocument();
|
|
});
|
|
expect(fetchMock).toHaveBeenCalledTimes(1);
|
|
|
|
resolveTaskPrice(new Response(JSON.stringify({
|
|
success: true,
|
|
data: {
|
|
taskPrice: 36,
|
|
},
|
|
}), { status: 200 }));
|
|
|
|
await waitFor(() => {
|
|
expect(screen.getByRole("button", { name: "36 points" })).toBeInTheDocument();
|
|
});
|
|
expect(fetchMock).toHaveBeenCalledTimes(1);
|
|
});
|
|
|
|
it("renders gateway image dimension options by schema name", async () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
imageNode("img-1", true, {
|
|
selectedModel: {
|
|
provider: "popiserver",
|
|
modelId: "37",
|
|
displayName: "Gateway Image",
|
|
capabilities: ["text-to-image", "image-to-image"],
|
|
},
|
|
parameterSchema: [
|
|
{
|
|
name: "ratio",
|
|
type: "string",
|
|
label: "Ratio",
|
|
options: [
|
|
{ label: "16:9", value: "16:9" },
|
|
{ label: "9:16", value: "9:16" },
|
|
],
|
|
default: "16:9",
|
|
},
|
|
{
|
|
name: "resolution",
|
|
type: "string",
|
|
label: "Resolution",
|
|
options: [
|
|
{ label: "720p", value: "720" },
|
|
{ label: "4k", value: "4k" },
|
|
],
|
|
default: "720",
|
|
},
|
|
],
|
|
parameters: {},
|
|
}),
|
|
],
|
|
});
|
|
|
|
render(<GenerationComposer />);
|
|
|
|
act(() => {
|
|
fireEvent.change(screen.getByLabelText("Ratio"), { target: { value: "9:16" } });
|
|
fireEvent.change(screen.getByLabelText("Resolution"), { target: { value: "4k" } });
|
|
});
|
|
|
|
await waitFor(() => {
|
|
const data = useWorkflowStore.getState().nodes[0].data as NanoBananaNodeData;
|
|
expect(data.aspectRatio).toBe("9:16");
|
|
expect(data.resolution).toBe("4k");
|
|
expect(data.config).toMatchObject({
|
|
aspectRatio: "9:16",
|
|
resolution: "4k",
|
|
});
|
|
});
|
|
});
|
|
|
|
it("does not show PopiServer task price estimates for token-billed models", async () => {
|
|
const fetchMock = vi.fn(async (input: RequestInfo | URL) => {
|
|
throw new Error(`Unexpected fetch: ${String(input)}`);
|
|
});
|
|
vi.stubGlobal("fetch", fetchMock);
|
|
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
imageNode("img-1", true, {
|
|
selectedModel: {
|
|
provider: "popiserver",
|
|
modelId: "32",
|
|
displayName: "Token Billed Image",
|
|
capabilities: ["text-to-image"],
|
|
metadata: {
|
|
aiModelId: 32,
|
|
aiModelCode: "token-image-model",
|
|
aiModelCodeAlias: "token-image-model",
|
|
type: 1,
|
|
subType: 102,
|
|
billingMethod: 2,
|
|
},
|
|
},
|
|
}),
|
|
],
|
|
});
|
|
|
|
render(<GenerationComposer />);
|
|
|
|
await waitFor(() => {
|
|
expect(screen.getByRole("button", { name: "Generate" })).toBeInTheDocument();
|
|
});
|
|
expect(fetchMock.mock.calls.some(([input]) => String(input).startsWith("/api/points/calculate-task-price"))).toBe(false);
|
|
});
|
|
|
|
it("uses the Seedance estimate endpoint for PopiServer Seedance models", async () => {
|
|
const fetchMock = vi.fn(async (input: RequestInfo | URL) => {
|
|
const url = String(input);
|
|
if (url.startsWith("/api/points/estimate")) {
|
|
return new Response(JSON.stringify({
|
|
success: true,
|
|
data: {
|
|
estimated_points: 88,
|
|
},
|
|
}), { status: 200 });
|
|
}
|
|
throw new Error(`Unexpected fetch: ${url}`);
|
|
});
|
|
vi.stubGlobal("fetch", fetchMock);
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
videoNode("vid-1", true, {
|
|
durationSeconds: 8,
|
|
resolution: "1080p",
|
|
selectedModel: {
|
|
provider: "popiserver",
|
|
modelId: "51",
|
|
displayName: "Seedance Pro",
|
|
capabilities: ["text-to-video", "image-to-video"],
|
|
metadata: {
|
|
aiModelId: 51,
|
|
aiModelCode: "doubao-seedance-2-0-260128",
|
|
aiModelCodeAlias: "seedance-video-pro",
|
|
type: 2,
|
|
subType: 203,
|
|
billingMethod: 1,
|
|
},
|
|
},
|
|
}),
|
|
],
|
|
});
|
|
|
|
render(<GenerationComposer />);
|
|
|
|
await waitFor(() => {
|
|
expect(screen.getByRole("button", { name: "88 points" })).toBeInTheDocument();
|
|
});
|
|
expect(fetchMock.mock.calls.some(([input]) => String(input).startsWith("/api/points/calculate-task-price"))).toBe(false);
|
|
const estimateCall = fetchMock.mock.calls.find(([input]) => String(input).startsWith("/api/points/estimate"));
|
|
expect(JSON.parse(String((estimateCall?.[1] as RequestInit).body))).toMatchObject({
|
|
modelName: "seedance-video-pro",
|
|
estimationType: "seedance_video",
|
|
seedanceVideo: {
|
|
resolution: "1080p",
|
|
aspect_ratio: "16:9",
|
|
input_video_duration_seconds: 0,
|
|
output_video_duration_seconds: 8,
|
|
},
|
|
});
|
|
});
|
|
|
|
it("does not show PopiServer points when the model cannot be priced", async () => {
|
|
const fetchMock = vi.fn(async (input: RequestInfo | URL) => {
|
|
const url = String(input);
|
|
if (url.startsWith("/api/models")) {
|
|
return new Response(JSON.stringify({ success: true, models: [] }), { status: 200 });
|
|
}
|
|
throw new Error(`Unexpected fetch: ${url}`);
|
|
});
|
|
vi.stubGlobal("fetch", fetchMock);
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
imageNode("img-1", true, {
|
|
selectedModel: {
|
|
provider: "popiserver",
|
|
modelId: "",
|
|
displayName: "Select model",
|
|
capabilities: ["text-to-image", "image-to-image"],
|
|
},
|
|
}),
|
|
],
|
|
});
|
|
|
|
render(<GenerationComposer />);
|
|
|
|
expect(screen.queryByRole("button", { name: /points/ })).not.toBeInTheDocument();
|
|
expect(fetchMock.mock.calls.some(([input]) => String(input).startsWith("/api/points/calculate-task-price"))).toBe(false);
|
|
});
|
|
|
|
it("hydrates NewApiWG point cost for stored models without pricing", async () => {
|
|
vi.stubGlobal("fetch", vi.fn(async () => new Response(JSON.stringify({
|
|
success: true,
|
|
models: [
|
|
{
|
|
id: "gpt-image-2-all",
|
|
name: "gpt-image-2-all",
|
|
description: null,
|
|
provider: "newapiwg",
|
|
capabilities: ["text-to-image", "image-to-image"],
|
|
pricing: { type: "per-run", amount: 3, currency: "points" },
|
|
},
|
|
],
|
|
}), { status: 200 })));
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
imageNode("img-1", true, {
|
|
selectedModel: {
|
|
provider: "newapiwg",
|
|
modelId: "gpt-image-2-all",
|
|
displayName: "gpt-image-2-all",
|
|
capabilities: ["text-to-image", "image-to-image"],
|
|
},
|
|
}),
|
|
],
|
|
});
|
|
|
|
render(<GenerationComposer />);
|
|
|
|
await waitFor(() => {
|
|
expect(screen.getByRole("button", { name: "3 points" })).toBeInTheDocument();
|
|
});
|
|
expect((useWorkflowStore.getState().nodes[0].data as NanoBananaNodeData).selectedModel?.pricing)
|
|
.toEqual({ type: "per-run", amount: 3 });
|
|
});
|
|
|
|
it("submits from the collapsed generate button without expanding", async () => {
|
|
useWorkflowStore.setState({ nodes: [imageNode("img-1", true, { inputPrompt: "visible prompt" })] });
|
|
render(<GenerationComposer />);
|
|
|
|
fireEvent.click(screen.getByLabelText("Collapse composer"));
|
|
fireEvent.click(screen.getByLabelText("Generate"));
|
|
|
|
await waitFor(() => {
|
|
expect(useWorkflowStore.getState().regenerateNode).toHaveBeenCalledWith("img-1");
|
|
});
|
|
expect(screen.queryByDisplayValue("visible prompt")).not.toBeInTheDocument();
|
|
});
|
|
|
|
it("uses the video model filter and reruns the selected video node", async () => {
|
|
useWorkflowStore.setState({ nodes: [videoNode("vid-1", true)] });
|
|
render(<GenerationComposer />);
|
|
|
|
fireEvent.click(screen.getByLabelText("Select model"));
|
|
expect(screen.getByTestId("model-dialog")).toHaveAttribute("data-filter", "video");
|
|
|
|
const prompt = screen.getByPlaceholderText(/Describe what you want to generate/) as HTMLTextAreaElement;
|
|
fireEvent.change(prompt, { target: { value: "edited video prompt" } });
|
|
fireEvent.change(screen.getByLabelText("Duration"), { target: { value: "8" } });
|
|
fireEvent.change(screen.getByLabelText("Resolution"), { target: { value: "1080p" } });
|
|
fireEvent.click(screen.getByRole("switch", { name: "Sound" }));
|
|
fireEvent.click(screen.getByLabelText("Generate"));
|
|
|
|
await waitFor(() => {
|
|
expect(useWorkflowStore.getState().regenerateNode).toHaveBeenCalledWith("vid-1");
|
|
});
|
|
const data = useWorkflowStore.getState().nodes[0].data as GenerateVideoNodeData;
|
|
expect(data.inputPrompt).toBe("edited video prompt");
|
|
expect(data.durationSeconds).toBe(8);
|
|
expect(data.resolution).toBe("1080p");
|
|
expect(data.soundEnabled).toBe(false);
|
|
});
|
|
|
|
it("shows connected image, video, and audio materials in the @ menu", async () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
imageNode("img-ref", false, { outputImage: "https://static.popi.art/ref.jpg" }),
|
|
videoNode("vid-ref", false, {
|
|
outputVideo: "https://static.popi.art/ref.mp4",
|
|
durationSeconds: 5.033,
|
|
}),
|
|
audioNode("aud-ref", false, {
|
|
outputAudio: "https://static.popi.art/ref.mp3",
|
|
}),
|
|
videoNode("vid-1", true, {
|
|
inputPrompt: "make it",
|
|
}),
|
|
],
|
|
edges: [
|
|
imageEdge("img-ref", "vid-1", 0),
|
|
videoEdge("vid-ref", "vid-1", 1, "video"),
|
|
audioEdge("aud-ref", "vid-1", 2, "audio"),
|
|
],
|
|
});
|
|
render(<GenerationComposer />);
|
|
|
|
const prompt = screen.getByPlaceholderText(/Describe what you want to generate/) as HTMLTextAreaElement;
|
|
fireEvent.change(prompt, { target: { value: "make it @" } });
|
|
|
|
await waitFor(() => {
|
|
expect(screen.getByText("图1")).toBeInTheDocument();
|
|
expect(screen.getByText("视频2")).toBeInTheDocument();
|
|
expect(screen.getByText("音频3")).toBeInTheDocument();
|
|
});
|
|
fireEvent.click(screen.getByText("音频3"));
|
|
|
|
expect(prompt).toHaveValue("make it @音频3 ");
|
|
fireEvent.click(screen.getByLabelText("Generate"));
|
|
|
|
await waitFor(() => {
|
|
expect(useWorkflowStore.getState().regenerateNode).toHaveBeenCalledWith("vid-1");
|
|
});
|
|
const data = useWorkflowStore.getState().nodes[3].data as GenerateVideoNodeData;
|
|
expect(data.parameters?.referenceSubjectList).toEqual([
|
|
{
|
|
id: 1,
|
|
type: "image",
|
|
url: "https://static.popi.art/ref.jpg",
|
|
name: "@图1",
|
|
},
|
|
{
|
|
id: 2,
|
|
type: "video",
|
|
url: "https://static.popi.art/ref.mp4",
|
|
name: "@视频2",
|
|
duration: 5.033,
|
|
},
|
|
{
|
|
id: 3,
|
|
type: "audio",
|
|
url: "https://static.popi.art/ref.mp3",
|
|
name: "@音频3",
|
|
},
|
|
]);
|
|
});
|
|
|
|
it("shows multiple connected text inputs before media while keeping the prompt editable", async () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
promptNode("prompt-1", "first connected text"),
|
|
promptNode("prompt-2", "second connected text"),
|
|
imageNode("img-ref", false, { outputImage: "https://static.popi.art/ref.jpg" }),
|
|
videoNode("vid-1", true, {
|
|
inputPrompt: "local video prompt",
|
|
}),
|
|
],
|
|
edges: [
|
|
textEdge("prompt-1", "vid-1"),
|
|
textEdge("prompt-2", "vid-1"),
|
|
imageEdge("img-ref", "vid-1", 0),
|
|
],
|
|
});
|
|
render(<GenerationComposer />);
|
|
|
|
expect(screen.getByTitle("first connected text")).toBeInTheDocument();
|
|
expect(screen.getByTitle("second connected text")).toBeInTheDocument();
|
|
const textMaterial = screen.getByLabelText("Text1");
|
|
const imageMaterial = screen.getByLabelText("Reference image 1");
|
|
expect(textMaterial.compareDocumentPosition(imageMaterial) & Node.DOCUMENT_POSITION_FOLLOWING).toBeTruthy();
|
|
|
|
const prompt = screen.getByDisplayValue("local video prompt") as HTMLTextAreaElement;
|
|
expect(prompt).not.toHaveAttribute("readonly");
|
|
fireEvent.change(prompt, { target: { value: "edited local prompt" } });
|
|
|
|
fireEvent.click(screen.getByLabelText("Generate"));
|
|
|
|
await waitFor(() => {
|
|
expect(useWorkflowStore.getState().regenerateNode).toHaveBeenCalledWith("vid-1");
|
|
});
|
|
const data = useWorkflowStore.getState().nodes[3].data as GenerateVideoNodeData;
|
|
expect(data.inputPrompt).toBe("edited local prompt");
|
|
});
|
|
|
|
it("reorders connected materials by dragging thumbnails and syncs @ references", async () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
imageNode("img-ref", false, { outputImage: "https://static.popi.art/ref.jpg" }),
|
|
videoNode("vid-ref", false, {
|
|
outputVideo: "https://static.popi.art/ref.mp4",
|
|
durationSeconds: 5.033,
|
|
}),
|
|
videoNode("vid-1", true, {
|
|
inputPrompt: "use @图1 and @视频2",
|
|
}),
|
|
],
|
|
edges: [
|
|
imageEdge("img-ref", "vid-1", 0),
|
|
videoEdge("vid-ref", "vid-1", 1, "video"),
|
|
],
|
|
});
|
|
render(<GenerationComposer />);
|
|
|
|
const dataTransferStore = new Map<string, string>();
|
|
const dataTransfer = {
|
|
effectAllowed: "all",
|
|
setData: (type: string, value: string) => dataTransferStore.set(type, value),
|
|
getData: (type: string) => dataTransferStore.get(type) ?? "",
|
|
};
|
|
const videoMaterial = screen.getByTitle("@视频2");
|
|
const imageMaterial = screen.getByTitle("Reference image 1");
|
|
const prompt = screen.getByDisplayValue("use @图1 and @视频2") as HTMLTextAreaElement;
|
|
|
|
fireEvent.dragStart(videoMaterial, { dataTransfer });
|
|
fireEvent.drop(imageMaterial, { dataTransfer });
|
|
|
|
expect(prompt).toHaveValue("use @图2 and @视频1");
|
|
expect(screen.getByTitle("@视频1")).toBeInTheDocument();
|
|
expect(screen.getByTitle("Reference image 2")).toBeInTheDocument();
|
|
fireEvent.click(screen.getByLabelText("Generate"));
|
|
|
|
await waitFor(() => {
|
|
expect(useWorkflowStore.getState().regenerateNode).toHaveBeenCalledWith("vid-1");
|
|
});
|
|
const data = useWorkflowStore.getState().nodes[2].data as GenerateVideoNodeData;
|
|
expect(data.parameters?.referenceSubjectList).toEqual([
|
|
{
|
|
id: 1,
|
|
type: "video",
|
|
url: "https://static.popi.art/ref.mp4",
|
|
name: "@视频1",
|
|
duration: 5.033,
|
|
},
|
|
{
|
|
id: 2,
|
|
type: "image",
|
|
url: "https://static.popi.art/ref.jpg",
|
|
name: "@图2",
|
|
},
|
|
]);
|
|
});
|
|
|
|
it("does not allow first/last frame mode unless exactly two images are connected", async () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
imageNode("img-a", false, { outputImage: "https://static.popi.art/a.jpg" }),
|
|
imageNode("img-b", false, { outputImage: "https://static.popi.art/b.jpg" }),
|
|
imageNode("img-c", false, { outputImage: "https://static.popi.art/c.jpg" }),
|
|
videoNode("vid-1", true, {
|
|
parameters: {},
|
|
}),
|
|
],
|
|
edges: [
|
|
imageEdge("img-a", "vid-1", 0),
|
|
imageEdge("img-b", "vid-1", 1),
|
|
imageEdge("img-c", "vid-1", 2),
|
|
],
|
|
});
|
|
render(<GenerationComposer />);
|
|
|
|
fireEvent.click(screen.getByText("First/last frame"));
|
|
|
|
await waitFor(() => {
|
|
const data = useWorkflowStore.getState().nodes[3].data as GenerateVideoNodeData;
|
|
expect(data.parameters?.subType).not.toBe(204);
|
|
});
|
|
});
|
|
|
|
it("allows image-to-video only when exactly one image is connected", async () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
imageNode("img-a", false, { outputImage: "https://static.popi.art/a.jpg" }),
|
|
videoNode("vid-1", true, {
|
|
parameters: { subType: 203 },
|
|
}),
|
|
],
|
|
edges: [
|
|
imageEdge("img-a", "vid-1", 0),
|
|
],
|
|
});
|
|
render(<GenerationComposer />);
|
|
|
|
fireEvent.click(screen.getByText("Image to video"));
|
|
|
|
await waitFor(() => {
|
|
const data = useWorkflowStore.getState().nodes[1].data as GenerateVideoNodeData;
|
|
expect(data.parameters?.subType).toBe(202);
|
|
});
|
|
});
|
|
|
|
it("does not allow image-to-video when multiple images are connected", async () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
imageNode("img-a", false, { outputImage: "https://static.popi.art/a.jpg" }),
|
|
imageNode("img-b", false, { outputImage: "https://static.popi.art/b.jpg" }),
|
|
videoNode("vid-1", true, {
|
|
parameters: { subType: 203 },
|
|
}),
|
|
],
|
|
edges: [
|
|
imageEdge("img-a", "vid-1", 0),
|
|
imageEdge("img-b", "vid-1", 1),
|
|
],
|
|
});
|
|
render(<GenerationComposer />);
|
|
|
|
fireEvent.click(screen.getByText("Image to video"));
|
|
|
|
await waitFor(() => {
|
|
const data = useWorkflowStore.getState().nodes[2].data as GenerateVideoNodeData;
|
|
expect(data.parameters?.subType).toBe(203);
|
|
});
|
|
});
|
|
|
|
it("falls back from image-to-video when multiple images are connected", async () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
imageNode("img-a", false, { outputImage: "https://static.popi.art/a.jpg" }),
|
|
imageNode("img-b", false, { outputImage: "https://static.popi.art/b.jpg" }),
|
|
videoNode("vid-1", true, {
|
|
parameters: { subType: 202 },
|
|
}),
|
|
],
|
|
edges: [
|
|
imageEdge("img-a", "vid-1", 0),
|
|
imageEdge("img-b", "vid-1", 1),
|
|
],
|
|
});
|
|
render(<GenerationComposer />);
|
|
|
|
await waitFor(() => {
|
|
const data = useWorkflowStore.getState().nodes[2].data as GenerateVideoNodeData;
|
|
expect(data.parameters?.subType).toBe(203);
|
|
});
|
|
});
|
|
|
|
it("labels two first/last frame images without changing their reference order", async () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
imageNode("img-first", false, { outputImage: "https://static.popi.art/first.jpg" }),
|
|
imageNode("img-last", false, { outputImage: "https://static.popi.art/last.jpg" }),
|
|
videoNode("vid-1", true, {
|
|
inputPrompt: "animate",
|
|
parameters: { subType: 204 },
|
|
}),
|
|
],
|
|
edges: [
|
|
imageEdge("img-first", "vid-1", 0),
|
|
imageEdge("img-last", "vid-1", 1),
|
|
],
|
|
});
|
|
render(<GenerationComposer />);
|
|
|
|
expect(screen.getByText("First")).toBeInTheDocument();
|
|
expect(screen.getByText("Last")).toBeInTheDocument();
|
|
|
|
fireEvent.click(screen.getByLabelText("Generate"));
|
|
|
|
await waitFor(() => {
|
|
expect(useWorkflowStore.getState().regenerateNode).toHaveBeenCalledWith("vid-1");
|
|
});
|
|
const data = useWorkflowStore.getState().nodes[2].data as GenerateVideoNodeData;
|
|
expect(data.parameters?.referenceSubjectList).toEqual([
|
|
{
|
|
id: 1,
|
|
type: "image",
|
|
url: "https://static.popi.art/first.jpg",
|
|
name: "@图1",
|
|
},
|
|
{
|
|
id: 2,
|
|
type: "image",
|
|
url: "https://static.popi.art/last.jpg",
|
|
name: "@图2",
|
|
},
|
|
]);
|
|
});
|
|
|
|
it("writes selected video quick settings to the node immediately", () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [videoNode("vid-1", true, {
|
|
durationSeconds: 6,
|
|
resolution: "720p",
|
|
soundEnabled: true,
|
|
})],
|
|
});
|
|
render(<GenerationComposer />);
|
|
|
|
fireEvent.change(screen.getByLabelText("Duration"), { target: { value: "4" } });
|
|
fireEvent.change(screen.getByLabelText("Resolution"), { target: { value: "1080p" } });
|
|
fireEvent.click(screen.getByRole("switch", { name: "Sound" }));
|
|
|
|
const data = useWorkflowStore.getState().nodes[0].data as GenerateVideoNodeData;
|
|
expect(data.durationSeconds).toBe(4);
|
|
expect(data.resolution).toBe("1080p");
|
|
expect(data.soundEnabled).toBe(false);
|
|
});
|
|
|
|
it("renders gateway video dimension options with raw values", () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
videoNode("vid-1", true, {
|
|
selectedModel: {
|
|
provider: "popiserver",
|
|
modelId: "38",
|
|
displayName: "Gateway Video",
|
|
capabilities: ["text-to-video", "image-to-video"],
|
|
},
|
|
parameterSchema: [
|
|
{
|
|
name: "ratio",
|
|
type: "string",
|
|
label: "Ratio",
|
|
options: [
|
|
{ label: "16:9", value: "16:9" },
|
|
{ label: "9:16", value: "9:16" },
|
|
],
|
|
default: "16:9",
|
|
},
|
|
{
|
|
name: "videoRatio",
|
|
type: "integer",
|
|
label: "Video ratio",
|
|
options: [
|
|
{ label: "10-10", value: 10 },
|
|
{ label: "20-20", value: 20 },
|
|
],
|
|
default: 10,
|
|
},
|
|
{
|
|
name: "resolution",
|
|
type: "string",
|
|
label: "Resolution",
|
|
options: [
|
|
{ label: "720p", value: "720" },
|
|
{ label: "1024p", value: "1024" },
|
|
],
|
|
default: "720",
|
|
},
|
|
{
|
|
name: "duration",
|
|
type: "integer",
|
|
label: "Duration",
|
|
options: [
|
|
{ label: "5", value: 5 },
|
|
{ label: "4", value: 4 },
|
|
],
|
|
default: 5,
|
|
},
|
|
],
|
|
parameters: {},
|
|
}),
|
|
],
|
|
});
|
|
|
|
render(<GenerationComposer />);
|
|
|
|
act(() => {
|
|
fireEvent.change(screen.getByLabelText("Ratio"), { target: { value: "9:16" } });
|
|
fireEvent.change(screen.getByLabelText("Video ratio"), { target: { value: "20" } });
|
|
fireEvent.change(screen.getByLabelText("Resolution"), { target: { value: "1024" } });
|
|
fireEvent.change(screen.getByLabelText("Duration"), { target: { value: "4" } });
|
|
});
|
|
|
|
const data = useWorkflowStore.getState().nodes[0].data as GenerateVideoNodeData;
|
|
expect(data.parameters).toEqual({
|
|
videoRatio: 20,
|
|
});
|
|
expect(data.aspectRatio).toBe("9:16");
|
|
expect(data.resolution).toBe("1024");
|
|
expect(data.durationSeconds).toBe(4);
|
|
expect(data.config).toMatchObject({
|
|
aspectRatio: "9:16",
|
|
resolution: "1024",
|
|
durationSeconds: 4,
|
|
parameters: { videoRatio: 20 },
|
|
});
|
|
});
|
|
|
|
it("defaults gateway video dimension quick settings to the first schema option", async () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [videoNode("vid-1", true, { durationSeconds: 9 })],
|
|
});
|
|
render(<GenerationComposer />);
|
|
|
|
await waitFor(() => {
|
|
expect(screen.getByLabelText("Duration")).toHaveValue("4");
|
|
});
|
|
await waitFor(() => {
|
|
const data = useWorkflowStore.getState().nodes[0].data as GenerateVideoNodeData;
|
|
expect(data.durationSeconds).toBe(4);
|
|
expect(data.config).toMatchObject({
|
|
durationSeconds: 4,
|
|
});
|
|
});
|
|
});
|
|
|
|
it("uses the audio model filter and reruns the selected audio node", async () => {
|
|
useWorkflowStore.setState({ nodes: [audioNode("aud-1", true)] });
|
|
render(<GenerationComposer />);
|
|
|
|
expect(screen.getByText("ElevenLabs Turbo v2.5")).toBeInTheDocument();
|
|
fireEvent.click(screen.getByLabelText("Select model"));
|
|
expect(screen.getByTestId("model-dialog")).toHaveAttribute("data-filter", "audio");
|
|
expect(screen.getByTestId("model-dialog")).toHaveAttribute("data-title", "Choose audio model");
|
|
|
|
const prompt = screen.getByPlaceholderText(/Describe what you want to generate/) as HTMLTextAreaElement;
|
|
fireEvent.change(prompt, { target: { value: "edited audio prompt" } });
|
|
fireEvent.click(screen.getByLabelText("Generate"));
|
|
|
|
await waitFor(() => {
|
|
expect(useWorkflowStore.getState().regenerateNode).toHaveBeenCalledWith("aud-1");
|
|
});
|
|
expect((useWorkflowStore.getState().nodes[0].data as GenerateAudioNodeData).inputPrompt).toBe("edited audio prompt");
|
|
});
|
|
|
|
it("does not render a single-node editor for unsupported selected nodes", () => {
|
|
useWorkflowStore.setState({ nodes: [promptNode("prompt-1", "hello", true)] });
|
|
render(<GenerationComposer />);
|
|
|
|
expect(screen.queryByTestId("node-inline-composer")).not.toBeInTheDocument();
|
|
expect(screen.queryByLabelText("Generate")).not.toBeInTheDocument();
|
|
});
|
|
|
|
it("shows selected video stitch node content and reruns it without a prompt", async () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
videoNode("vid-1", false, { outputVideo: "data:video/mp4;base64,one" }),
|
|
videoNode("vid-2", false, { outputVideo: "data:video/mp4;base64,two" }),
|
|
videoStitchNode("stitch-1", true, {
|
|
clipOrder: ["edge-vid-2-stitch-1-video-1", "edge-vid-1-stitch-1-video-0"],
|
|
}),
|
|
],
|
|
edges: [
|
|
videoEdge("vid-1", "stitch-1", 0),
|
|
videoEdge("vid-2", "stitch-1", 1),
|
|
],
|
|
});
|
|
render(<GenerationComposer />);
|
|
|
|
expect(screen.getByText("2 video clips")).toBeInTheDocument();
|
|
expect(screen.getByText("Video inputs")).toBeInTheDocument();
|
|
expect(screen.getByText("Clip 1")).toBeInTheDocument();
|
|
expect(screen.queryByPlaceholderText(/Describe what you want to generate/)).not.toBeInTheDocument();
|
|
|
|
fireEvent.click(screen.getByLabelText("Generate"));
|
|
|
|
await waitFor(() => {
|
|
expect(useWorkflowStore.getState().regenerateNode).toHaveBeenCalledWith("stitch-1");
|
|
});
|
|
});
|
|
|
|
it("requires at least two connected video clips before running a video stitch node", () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
videoNode("vid-1", false, { outputVideo: "data:video/mp4;base64,one" }),
|
|
videoStitchNode("stitch-1", true),
|
|
],
|
|
edges: [videoEdge("vid-1", "stitch-1", 0)],
|
|
});
|
|
render(<GenerationComposer />);
|
|
|
|
expect(screen.getByText("Connect at least 2 video clips to stitch.")).toBeInTheDocument();
|
|
expect(screen.getByLabelText("Generate")).toBeDisabled();
|
|
});
|
|
|
|
it("shows selected ease curve node content and reruns it without a prompt", async () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
videoNode("vid-1", false, { outputVideo: "data:video/mp4;base64,one" }),
|
|
easeCurveNode("ease-1", true),
|
|
],
|
|
edges: [videoEdge("vid-1", "ease-1", 0, "video")],
|
|
});
|
|
render(<GenerationComposer />);
|
|
|
|
expect(screen.getByText("Video connected")).toBeInTheDocument();
|
|
expect(screen.getByText("Curve settings")).toBeInTheDocument();
|
|
expect(screen.getByText("easeInOutSine")).toBeInTheDocument();
|
|
expect(screen.queryByPlaceholderText(/Describe what you want to generate/)).not.toBeInTheDocument();
|
|
|
|
fireEvent.click(screen.getByLabelText("Generate"));
|
|
|
|
await waitFor(() => {
|
|
expect(useWorkflowStore.getState().regenerateNode).toHaveBeenCalledWith("ease-1");
|
|
});
|
|
});
|
|
|
|
it("requires a connected video before running an ease curve node", () => {
|
|
useWorkflowStore.setState({ nodes: [easeCurveNode("ease-1", true)] });
|
|
render(<GenerationComposer />);
|
|
|
|
expect(screen.getAllByText("Connect a video input to apply ease curve.").length).toBeGreaterThan(0);
|
|
expect(screen.getByLabelText("Generate")).toBeDisabled();
|
|
});
|
|
|
|
it("does not render the local reference image upload control", () => {
|
|
useWorkflowStore.setState({ nodes: [imageNode("img-1", true)] });
|
|
render(<GenerationComposer />);
|
|
|
|
expect(screen.queryByLabelText("Upload reference image")).not.toBeInTheDocument();
|
|
expect(screen.queryByText("Reference")).not.toBeInTheDocument();
|
|
});
|
|
|
|
it("renders stored reference images in order instead of stacking them", () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
imageNode("img-1", true, {
|
|
inputImages: ["data:image/png;base64,first", "data:image/png;base64,second"],
|
|
}),
|
|
],
|
|
});
|
|
render(<GenerationComposer />);
|
|
|
|
expect(screen.getByTitle("Reference image 1")).toBeInTheDocument();
|
|
expect(screen.getByTitle("Reference image 2")).toBeInTheDocument();
|
|
expect(screen.queryByLabelText(/Remove reference image/)).not.toBeInTheDocument();
|
|
});
|
|
|
|
it("opens a reference image preview from its thumbnail", async () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
imageNode("img-1", true, {
|
|
inputImages: ["data:image/png;base64,preview"],
|
|
}),
|
|
],
|
|
});
|
|
render(<GenerationComposer />);
|
|
|
|
fireEvent.click(screen.getByTitle("Reference image 1"));
|
|
|
|
const dialog = screen.getByRole("dialog", { name: "Reference image 1" });
|
|
expect(within(dialog).getByAltText("Reference image 1")).toHaveAttribute(
|
|
"src",
|
|
"data:image/png;base64,preview"
|
|
);
|
|
|
|
fireEvent.keyDown(window, { key: "Escape" });
|
|
await waitFor(() => {
|
|
expect(screen.queryByRole("dialog", { name: "Reference image 1" })).not.toBeInTheDocument();
|
|
});
|
|
});
|
|
|
|
it("shows upstream text without overwriting the editable local prompt", async () => {
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
promptNode("prompt-1", "connected prompt"),
|
|
imageNode("img-1", true, { inputPrompt: "fallback prompt" }),
|
|
],
|
|
edges: [textEdge("prompt-1", "img-1")],
|
|
});
|
|
render(<GenerationComposer />);
|
|
|
|
expect(screen.getByTitle("connected prompt")).toBeInTheDocument();
|
|
const prompt = screen.getByDisplayValue("fallback prompt") as HTMLTextAreaElement;
|
|
expect(prompt).not.toHaveAttribute("readonly");
|
|
fireEvent.click(screen.getByLabelText("Generate"));
|
|
|
|
await waitFor(() => {
|
|
expect(useWorkflowStore.getState().regenerateNode).toHaveBeenCalledWith("img-1");
|
|
});
|
|
expect((useWorkflowStore.getState().nodes[1].data as NanoBananaNodeData).inputPrompt).toBe("fallback prompt");
|
|
});
|
|
|
|
it("autosaves a dirty node draft before loading another selected node", async () => {
|
|
const first = imageNode("img-1", true, { inputPrompt: "first" });
|
|
const second = imageNode("img-2", false, { inputPrompt: "second" });
|
|
useWorkflowStore.setState({ nodes: [first, second] });
|
|
render(<GenerationComposer />);
|
|
|
|
fireEvent.change(screen.getByDisplayValue("first"), {
|
|
target: { value: "edited first" },
|
|
});
|
|
|
|
act(() => {
|
|
useWorkflowStore.setState({
|
|
nodes: [
|
|
{ ...first, selected: false },
|
|
{ ...second, selected: true },
|
|
],
|
|
});
|
|
});
|
|
|
|
await waitFor(() => {
|
|
expect(screen.getByDisplayValue("second")).toBeInTheDocument();
|
|
});
|
|
const nodes = useWorkflowStore.getState().nodes;
|
|
expect((nodes[0].data as NanoBananaNodeData).inputPrompt).toBe("edited first");
|
|
});
|
|
});
|
|
|