Files
OmniRoute/tests/unit/services/fal.test.ts
Praveen K Palaniswamy 65e81158ab fix(ollama): route models by advertised capability (#11088)
Landed with the design call resolved per the owner's pick — **option 1**: the synced store is now endpoint-agnostic (persistDiscoveredModels and managedModelImport no longer drop non-chat models at write time), and chat selectability moved to read time (auto-pool expansion in autoStrategy applies filterChatSelectableModels; the models-route projection already had its chatOnly filter). Your discovery test now passes end-to-end (3/3): /api/show capabilities persist per connection and image/embedding requests route through the advertising host.

Reconciliation notes: conflicted areas merged onto the current tip (adobe discovery import, requestedModel preflight signature, resolvedProvider fast-path coexists with the synced-route override — explicit resolution wins); carried base-red drains (#10055 memoization, #11071 test variants) dropped as already-landed; the managed-model-import exclusion test was propagated to the new contract (image/video models persist; the read filter still hides them from chat pickers — pinned by a new assertion). Full battery: 205/206 focused (the one red is a confirmed periodic-timer timing flake on the loaded devbox — 20/20 isolated), autoCombo vitest 30/30, combo suites 46/46, gates + typecheck clean.

Thank you @yourspraveen — the capability probe + routing design was right; it just needed the store contract opened up. Fixes #11087.
2026-08-23 11:45:01 -03:00

360 lines
11 KiB
TypeScript

import test from "node:test";
import assert from "node:assert/strict";
import {
buildFalMusicRequestBody,
buildFalVideoRequestBody,
handleFalMusicGeneration,
handleFalVideoGeneration,
normalizeFalMediaResult,
} from "../../../open-sse/handlers/mediaGeneration/fal.ts";
import { parseImageModel } from "../../../open-sse/config/imageRegistry.ts";
import { parseMusicModel } from "../../../open-sse/config/musicRegistry.ts";
import { parseVideoModel } from "../../../open-sse/config/videoRegistry.ts";
test("buildFalVideoRequestBody maps the OpenAI-compatible request", () => {
assert.deepEqual(
buildFalVideoRequestBody({
prompt: "A quiet train crossing a snowy bridge",
aspect_ratio: "9:16",
duration: 6,
resolution: "1080p",
generate_audio: false,
negative_prompt: "text overlays",
seed: 42,
}),
{
prompt: "A quiet train crossing a snowy bridge",
aspect_ratio: "9:16",
duration: "6s",
resolution: "1080p",
generate_audio: false,
negative_prompt: "text overlays",
seed: 42,
}
);
});
test("buildFalVideoRequestBody maps the Fal-hosted Grok endpoint schema", () => {
assert.deepEqual(
buildFalVideoRequestBody(
{
prompt: "A realistic dog walking through a park",
aspect_ratio: "16:9",
duration: "8s",
resolution: "720p",
generate_audio: true,
},
"xai/grok-imagine-video/text-to-video"
),
{
prompt: "A realistic dog walking through a park",
aspect_ratio: "16:9",
duration: 8,
resolution: "720p",
}
);
});
test("buildFalVideoRequestBody maps one provider-neutral image reference", () => {
assert.deepEqual(
buildFalVideoRequestBody(
{
prompt: "Animate this dog",
image_urls: ["data:image/png;base64,ZmFrZQ=="],
},
"xai/grok-imagine-video/text-to-video"
),
{
prompt: "Animate this dog",
aspect_ratio: "16:9",
duration: 6,
resolution: "720p",
image_url: "data:image/png;base64,ZmFrZQ==",
}
);
});
test("buildFalVideoRequestBody maps multiple provider-neutral image references", () => {
assert.deepEqual(
buildFalVideoRequestBody(
{
prompt: "Combine these references",
image_urls: ["data:image/png;base64,YQ==", "data:image/png;base64,Yg=="],
},
"xai/grok-imagine-video/text-to-video"
),
{
prompt: "Combine these references",
aspect_ratio: "16:9",
duration: 6,
resolution: "720p",
reference_image_urls: ["data:image/png;base64,YQ==", "data:image/png;base64,Yg=="],
}
);
});
test("buildFalVideoRequestBody maps the Gemini Omni Flash video schema", () => {
assert.deepEqual(
buildFalVideoRequestBody(
{
prompt: "A realistic dog walking through a park",
aspect_ratio: "9:16",
duration: 10,
resolution: "1080p",
generate_audio: false,
},
"google/gemini-omni-flash"
),
{
prompt: "A realistic dog walking through a park",
aspect_ratio: "9:16",
duration: 10,
}
);
});
test("handleFalVideoGeneration selects Gemini Omni Flash image-to-video", async () => {
const originalFetch = globalThis.fetch;
const requests: Array<{ url: string; body: string }> = [];
globalThis.fetch = async (input, init) => {
requests.push({ url: String(input), body: String(init?.body) });
return new Response(JSON.stringify({ video: { url: "https://cdn.example/gemini.mp4" } }), {
status: 200,
headers: { "content-type": "application/json" },
});
};
try {
const result = await handleFalVideoGeneration({
model: "google/gemini-omni-flash",
provider: "fal-ai",
providerConfig: { baseUrl: "https://queue.fal.run" },
body: {
prompt: "Animate this dog",
image_urls: ["data:image/png;base64,ZmFrZQ=="],
duration: 8,
},
credentials: { apiKey: "test-key" },
});
assert.equal(result.success, true);
assert.equal(requests[0]?.url, "https://queue.fal.run/google/gemini-omni-flash/image-to-video");
assert.deepEqual(JSON.parse(requests[0]?.body || "{}"), {
prompt: "Animate this dog",
aspect_ratio: "16:9",
duration: 8,
image_url: "data:image/png;base64,ZmFrZQ==",
});
} finally {
globalThis.fetch = originalFetch;
}
});
test("buildFalMusicRequestBody uses prompt as tags and supports lyrics", () => {
assert.deepEqual(
buildFalMusicRequestBody({
prompt: "warm analog synthwave",
lyrics: "[verse] Drive through the night",
duration: 30,
seed: 7,
}),
{
tags: "warm analog synthwave",
lyrics: "[verse] Drive through the night",
duration: 30,
seed: 7,
}
);
});
test("normalizeFalMediaResult returns typed media URLs", () => {
assert.deepEqual(
normalizeFalMediaResult(
{
video: {
url: "https://cdn.example/video.mp4",
content_type: "video/mp4",
},
},
"video"
),
{
success: true,
data: {
created: 0,
data: [{ url: "https://cdn.example/video.mp4", format: "mp4" }],
},
}
);
assert.deepEqual(
normalizeFalMediaResult({ audio: { url: "https://cdn.example/song.wav" } }, "music"),
{
success: true,
data: {
created: 0,
data: [{ url: "https://cdn.example/song.wav", format: "wav" }],
},
}
);
});
test("normalizeFalMediaResult rejects a missing artifact", () => {
assert.deepEqual(normalizeFalMediaResult({}, "video"), {
success: false,
status: 502,
error: "Fal video generation returned no media URL",
});
});
test("media registries expose provider-neutral model IDs", () => {
assert.deepEqual(parseImageModel("fal-ai/flux-2-pro"), {
provider: "fal-ai",
model: "flux-2-pro",
});
assert.deepEqual(parseVideoModel("fal-ai/veo3.1/lite"), {
provider: "fal-ai",
model: "veo3.1/lite",
});
assert.deepEqual(parseMusicModel("fal-ai/ace-step"), {
provider: "fal-ai",
model: "ace-step",
});
});
test("handleFalVideoGeneration uses the provider-neutral queue contract", async () => {
const originalFetch = globalThis.fetch;
const requests: Array<{ url: string; body: string }> = [];
globalThis.fetch = async (input, init) => {
requests.push({ url: String(input), body: String(init?.body) });
return new Response(JSON.stringify({ video: { url: "https://cdn.example/video.mp4" } }), {
status: 200,
headers: { "content-type": "application/json" },
});
};
try {
const result = await handleFalVideoGeneration({
model: "veo3.1/lite",
provider: "fal-ai",
providerConfig: { baseUrl: "https://queue.fal.run" },
body: { prompt: "a slow pan across a forest", duration: 4 },
credentials: { apiKey: "test-key" },
});
assert.equal(result.success, true);
assert.equal(requests[0]?.url, "https://queue.fal.run/fal-ai/veo3.1/lite");
assert.deepEqual(JSON.parse(requests[0]?.body || "{}"), {
prompt: "a slow pan across a forest",
aspect_ratio: "16:9",
duration: "4s",
resolution: "720p",
generate_audio: true,
});
} finally {
globalThis.fetch = originalFetch;
}
});
test("handleFalVideoGeneration preserves Fal model paths outside the fal-ai namespace", async () => {
const originalFetch = globalThis.fetch;
const requests: Array<{ url: string; body: string }> = [];
globalThis.fetch = async (input, init) => {
requests.push({ url: String(input), body: String(init?.body) });
return new Response(JSON.stringify({ video: { url: "https://cdn.example/grok.mp4" } }), {
status: 200,
headers: { "content-type": "application/json" },
});
};
try {
const result = await handleFalVideoGeneration({
model: "xai/grok-imagine-video/text-to-video",
provider: "fal-ai",
providerConfig: { baseUrl: "https://queue.fal.run" },
body: { prompt: "a dog walking through a park", duration: 8 },
credentials: { apiKey: "test-key" },
});
assert.equal(result.success, true);
assert.equal(requests[0]?.url, "https://queue.fal.run/xai/grok-imagine-video/text-to-video");
assert.deepEqual(JSON.parse(requests[0]?.body || "{}"), {
prompt: "a dog walking through a park",
aspect_ratio: "16:9",
duration: 8,
resolution: "720p",
});
} finally {
globalThis.fetch = originalFetch;
}
});
test("handleFalVideoGeneration selects Grok image-to-video for one reference image", async () => {
const originalFetch = globalThis.fetch;
const requests: Array<{ url: string; body: string }> = [];
globalThis.fetch = async (input, init) => {
requests.push({ url: String(input), body: String(init?.body) });
return new Response(JSON.stringify({ video: { url: "https://cdn.example/grok-i2v.mp4" } }), {
status: 200,
headers: { "content-type": "application/json" },
});
};
try {
const result = await handleFalVideoGeneration({
model: "xai/grok-imagine-video/text-to-video",
provider: "fal-ai",
providerConfig: { baseUrl: "https://queue.fal.run" },
body: {
prompt: "Animate this dog",
image_urls: ["data:image/png;base64,ZmFrZQ=="],
},
credentials: { apiKey: "test-key" },
});
assert.equal(result.success, true);
assert.equal(requests[0]?.url, "https://queue.fal.run/xai/grok-imagine-video/image-to-video");
assert.deepEqual(JSON.parse(requests[0]?.body || "{}"), {
prompt: "Animate this dog",
aspect_ratio: "16:9",
duration: 6,
resolution: "720p",
image_url: "data:image/png;base64,ZmFrZQ==",
});
} finally {
globalThis.fetch = originalFetch;
}
});
test("handleFalMusicGeneration uses the provider-neutral queue contract", async () => {
const originalFetch = globalThis.fetch;
const requests: Array<{ url: string; body: string }> = [];
globalThis.fetch = async (input, init) => {
requests.push({ url: String(input), body: String(init?.body) });
return new Response(JSON.stringify({ audio: { url: "https://cdn.example/music.wav" } }), {
status: 200,
headers: { "content-type": "application/json" },
});
};
try {
const result = await handleFalMusicGeneration({
model: "ace-step",
provider: "fal-ai",
providerConfig: { baseUrl: "https://queue.fal.run" },
body: { prompt: "ambient synthwave", lyrics: "stay awake", duration: 30 },
credentials: { apiKey: "test-key" },
});
assert.equal(result.success, true);
assert.equal(requests[0]?.url, "https://queue.fal.run/fal-ai/ace-step");
assert.deepEqual(JSON.parse(requests[0]?.body || "{}"), {
tags: "ambient synthwave",
lyrics: "stay awake",
duration: 30,
});
} finally {
globalThis.fetch = originalFetch;
}
});