import { beforeAll, describe, expect, it, vi } from
"vitest";
import { expectExplicitVideoGenerationCapabilities } from
"../../test/helpers/media-generation/provider-capability-assertions.js";
import {
getProviderHttpMocks,
installProviderHttpMockCleanup,
} from
"../../test/helpers/media-generation/provider-http-mocks.js";
const { postJsonRequestMock, fetchWithTimeoutMock } = getProviderHttpMocks();
let buildRunwayVideoGenerationProvider:
typeof import(
"./video-generation-provider.js").buildRunwayVideoGenerationProvider;
beforeAll(async () => {
({ buildRunwayVideoGenerationProvider } = await
import(
"./video-generation-provider.js"));
});
installProviderHttpMockCleanup();
describe(
"runway video generation provider", () => {
it(
"declares explicit mode capabilities", () => {
expectExplicitVideoGenerationCapabilities(buildRunwayVideoGenerationProvider());
});
it(
"submits a text-to-video task, polls it, and downloads the output", async () => {
postJsonRequestMock.mockResolvedValue({
response: {
json: async () => ({
id:
"task-1",
}),
},
release: vi.fn(async () => {}),
});
fetchWithTimeoutMock
.mockResolvedValueOnce({
json: async () => ({
id:
"task-1",
status:
"SUCCEEDED",
output: [
"https://example.com/out.mp4"],
}),
headers:
new Headers(),
})
.mockResolvedValueOnce({
arrayBuffer: async () => Buffer.from(
"mp4-bytes"),
headers:
new Headers({
"content-type":
"video/mp4" }),
});
const provider = buildRunwayVideoGenerationProvider();
const result = await provider.generateVideo({
provider:
"runway",
model:
"gen4.5",
prompt:
"a tiny lobster DJ under neon lights",
cfg: {},
durationSeconds:
4,
aspectRatio:
"16:9",
});
expect(postJsonRequestMock).toHaveBeenCalledWith(
expect.objectContaining({
url:
"https://api.dev.runwayml.com/v1/text_to_video",
body: {
model:
"gen4.5",
promptText:
"a tiny lobster DJ under neon lights",
ratio:
"1280:720",
duration:
4,
},
}),
);
expect(fetchWithTimeoutMock).toHaveBeenNthCalledWith(
1,
"https://api.dev.runwayml.com/v1/tasks/task-1",
expect.objectContaining({ method:
"GET" }),
120000,
fetch,
);
expect(result.videos).toHaveLength(
1);
expect(result.metadata).toEqual(
expect.objectContaining({
taskId:
"task-1",
status:
"SUCCEEDED",
endpoint:
"/v1/text_to_video",
}),
);
});
it(
"accepts local image buffers by converting them into data URIs", async () => {
postJsonRequestMock.mockResolvedValue({
response: {
json: async () => ({ id:
"task-2" }),
},
release: vi.fn(async () => {}),
});
fetchWithTimeoutMock
.mockResolvedValueOnce({
json: async () => ({
id:
"task-2",
status:
"SUCCEEDED",
output: [
"https://example.com/out.mp4"],
}),
headers:
new Headers(),
})
.mockResolvedValueOnce({
arrayBuffer: async () => Buffer.from(
"mp4-bytes"),
headers:
new Headers({
"content-type":
"video/mp4" }),
});
const provider = buildRunwayVideoGenerationProvider();
await provider.generateVideo({
provider:
"runway",
model:
"gen4_turbo",
prompt:
"animate this frame",
cfg: {},
inputImages: [{ buffer: Buffer.from(
"png-bytes"), mimeType:
"image/png" }],
aspectRatio:
"1:1",
durationSeconds:
6,
});
expect(postJsonRequestMock).toHaveBeenCalledWith(
expect.objectContaining({
url:
"https://api.dev.runwayml.com/v1/image_to_video",
body: expect.objectContaining({
promptImage: expect.stringMatching(/^data:image\/png;base64,/u),
ratio:
"960:960",
duration:
6,
}),
}),
);
});
it(
"requires gen4_aleph for video-to-video", async () => {
const provider = buildRunwayVideoGenerationProvider();
await expect(
provider.generateVideo({
provider:
"runway",
model:
"gen4.5",
prompt:
"restyle this clip",
cfg: {},
inputVideos: [{ url:
"https://example.com/input.mp4" }],
}),
).rejects.toThrow(
"Runway video-to-video currently requires model gen4_aleph.");
expect(postJsonRequestMock).not.toHaveBeenCalled();
});
});