mirror of
https://github.com/diegosouzapw/OmniRoute.git
synced 2026-09-15 11:22:15 +03:00
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.
360 lines
11 KiB
TypeScript
360 lines
11 KiB
TypeScript
import test from "node:test";
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import assert from "node:assert/strict";
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import {
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buildFalMusicRequestBody,
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buildFalVideoRequestBody,
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handleFalMusicGeneration,
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handleFalVideoGeneration,
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normalizeFalMediaResult,
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} from "../../../open-sse/handlers/mediaGeneration/fal.ts";
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import { parseImageModel } from "../../../open-sse/config/imageRegistry.ts";
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import { parseMusicModel } from "../../../open-sse/config/musicRegistry.ts";
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import { parseVideoModel } from "../../../open-sse/config/videoRegistry.ts";
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test("buildFalVideoRequestBody maps the OpenAI-compatible request", () => {
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assert.deepEqual(
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buildFalVideoRequestBody({
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prompt: "A quiet train crossing a snowy bridge",
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aspect_ratio: "9:16",
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duration: 6,
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resolution: "1080p",
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generate_audio: false,
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negative_prompt: "text overlays",
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seed: 42,
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}),
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{
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prompt: "A quiet train crossing a snowy bridge",
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aspect_ratio: "9:16",
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duration: "6s",
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resolution: "1080p",
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generate_audio: false,
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negative_prompt: "text overlays",
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seed: 42,
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}
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);
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});
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test("buildFalVideoRequestBody maps the Fal-hosted Grok endpoint schema", () => {
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assert.deepEqual(
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buildFalVideoRequestBody(
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{
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prompt: "A realistic dog walking through a park",
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aspect_ratio: "16:9",
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duration: "8s",
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resolution: "720p",
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generate_audio: true,
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},
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"xai/grok-imagine-video/text-to-video"
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),
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{
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prompt: "A realistic dog walking through a park",
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aspect_ratio: "16:9",
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duration: 8,
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resolution: "720p",
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}
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);
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});
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test("buildFalVideoRequestBody maps one provider-neutral image reference", () => {
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assert.deepEqual(
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buildFalVideoRequestBody(
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{
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prompt: "Animate this dog",
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image_urls: ["data:image/png;base64,ZmFrZQ=="],
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},
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"xai/grok-imagine-video/text-to-video"
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),
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{
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prompt: "Animate this dog",
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aspect_ratio: "16:9",
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duration: 6,
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resolution: "720p",
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image_url: "data:image/png;base64,ZmFrZQ==",
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}
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);
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});
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test("buildFalVideoRequestBody maps multiple provider-neutral image references", () => {
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assert.deepEqual(
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buildFalVideoRequestBody(
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{
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prompt: "Combine these references",
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image_urls: ["data:image/png;base64,YQ==", "data:image/png;base64,Yg=="],
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},
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"xai/grok-imagine-video/text-to-video"
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),
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{
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prompt: "Combine these references",
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aspect_ratio: "16:9",
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duration: 6,
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resolution: "720p",
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reference_image_urls: ["data:image/png;base64,YQ==", "data:image/png;base64,Yg=="],
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}
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);
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});
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test("buildFalVideoRequestBody maps the Gemini Omni Flash video schema", () => {
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assert.deepEqual(
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buildFalVideoRequestBody(
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{
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prompt: "A realistic dog walking through a park",
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aspect_ratio: "9:16",
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duration: 10,
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resolution: "1080p",
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generate_audio: false,
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},
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"google/gemini-omni-flash"
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),
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{
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prompt: "A realistic dog walking through a park",
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aspect_ratio: "9:16",
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duration: 10,
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}
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);
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});
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test("handleFalVideoGeneration selects Gemini Omni Flash image-to-video", async () => {
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const originalFetch = globalThis.fetch;
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const requests: Array<{ url: string; body: string }> = [];
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globalThis.fetch = async (input, init) => {
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requests.push({ url: String(input), body: String(init?.body) });
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return new Response(JSON.stringify({ video: { url: "https://cdn.example/gemini.mp4" } }), {
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status: 200,
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headers: { "content-type": "application/json" },
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});
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};
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try {
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const result = await handleFalVideoGeneration({
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model: "google/gemini-omni-flash",
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provider: "fal-ai",
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providerConfig: { baseUrl: "https://queue.fal.run" },
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body: {
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prompt: "Animate this dog",
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image_urls: ["data:image/png;base64,ZmFrZQ=="],
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duration: 8,
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},
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credentials: { apiKey: "test-key" },
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});
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assert.equal(result.success, true);
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assert.equal(requests[0]?.url, "https://queue.fal.run/google/gemini-omni-flash/image-to-video");
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assert.deepEqual(JSON.parse(requests[0]?.body || "{}"), {
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prompt: "Animate this dog",
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aspect_ratio: "16:9",
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duration: 8,
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image_url: "data:image/png;base64,ZmFrZQ==",
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});
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} finally {
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globalThis.fetch = originalFetch;
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}
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});
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test("buildFalMusicRequestBody uses prompt as tags and supports lyrics", () => {
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assert.deepEqual(
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buildFalMusicRequestBody({
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prompt: "warm analog synthwave",
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lyrics: "[verse] Drive through the night",
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duration: 30,
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seed: 7,
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}),
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{
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tags: "warm analog synthwave",
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lyrics: "[verse] Drive through the night",
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duration: 30,
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seed: 7,
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}
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);
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});
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test("normalizeFalMediaResult returns typed media URLs", () => {
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assert.deepEqual(
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normalizeFalMediaResult(
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{
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video: {
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url: "https://cdn.example/video.mp4",
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content_type: "video/mp4",
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},
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},
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"video"
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),
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{
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success: true,
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data: {
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created: 0,
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data: [{ url: "https://cdn.example/video.mp4", format: "mp4" }],
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},
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}
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);
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assert.deepEqual(
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normalizeFalMediaResult({ audio: { url: "https://cdn.example/song.wav" } }, "music"),
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{
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success: true,
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data: {
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created: 0,
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data: [{ url: "https://cdn.example/song.wav", format: "wav" }],
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},
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}
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);
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});
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test("normalizeFalMediaResult rejects a missing artifact", () => {
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assert.deepEqual(normalizeFalMediaResult({}, "video"), {
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success: false,
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status: 502,
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error: "Fal video generation returned no media URL",
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});
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});
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test("media registries expose provider-neutral model IDs", () => {
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assert.deepEqual(parseImageModel("fal-ai/flux-2-pro"), {
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provider: "fal-ai",
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model: "flux-2-pro",
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});
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assert.deepEqual(parseVideoModel("fal-ai/veo3.1/lite"), {
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provider: "fal-ai",
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model: "veo3.1/lite",
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});
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assert.deepEqual(parseMusicModel("fal-ai/ace-step"), {
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provider: "fal-ai",
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model: "ace-step",
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});
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});
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test("handleFalVideoGeneration uses the provider-neutral queue contract", async () => {
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const originalFetch = globalThis.fetch;
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const requests: Array<{ url: string; body: string }> = [];
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globalThis.fetch = async (input, init) => {
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requests.push({ url: String(input), body: String(init?.body) });
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return new Response(JSON.stringify({ video: { url: "https://cdn.example/video.mp4" } }), {
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status: 200,
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headers: { "content-type": "application/json" },
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});
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};
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try {
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const result = await handleFalVideoGeneration({
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model: "veo3.1/lite",
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provider: "fal-ai",
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providerConfig: { baseUrl: "https://queue.fal.run" },
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body: { prompt: "a slow pan across a forest", duration: 4 },
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credentials: { apiKey: "test-key" },
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});
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assert.equal(result.success, true);
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assert.equal(requests[0]?.url, "https://queue.fal.run/fal-ai/veo3.1/lite");
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assert.deepEqual(JSON.parse(requests[0]?.body || "{}"), {
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prompt: "a slow pan across a forest",
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aspect_ratio: "16:9",
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duration: "4s",
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resolution: "720p",
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generate_audio: true,
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});
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} finally {
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globalThis.fetch = originalFetch;
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}
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});
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test("handleFalVideoGeneration preserves Fal model paths outside the fal-ai namespace", async () => {
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const originalFetch = globalThis.fetch;
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const requests: Array<{ url: string; body: string }> = [];
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globalThis.fetch = async (input, init) => {
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requests.push({ url: String(input), body: String(init?.body) });
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return new Response(JSON.stringify({ video: { url: "https://cdn.example/grok.mp4" } }), {
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status: 200,
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headers: { "content-type": "application/json" },
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});
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};
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try {
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const result = await handleFalVideoGeneration({
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model: "xai/grok-imagine-video/text-to-video",
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provider: "fal-ai",
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providerConfig: { baseUrl: "https://queue.fal.run" },
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body: { prompt: "a dog walking through a park", duration: 8 },
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credentials: { apiKey: "test-key" },
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});
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assert.equal(result.success, true);
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assert.equal(requests[0]?.url, "https://queue.fal.run/xai/grok-imagine-video/text-to-video");
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assert.deepEqual(JSON.parse(requests[0]?.body || "{}"), {
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prompt: "a dog walking through a park",
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aspect_ratio: "16:9",
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duration: 8,
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resolution: "720p",
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});
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} finally {
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globalThis.fetch = originalFetch;
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}
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});
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test("handleFalVideoGeneration selects Grok image-to-video for one reference image", async () => {
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const originalFetch = globalThis.fetch;
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const requests: Array<{ url: string; body: string }> = [];
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globalThis.fetch = async (input, init) => {
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requests.push({ url: String(input), body: String(init?.body) });
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return new Response(JSON.stringify({ video: { url: "https://cdn.example/grok-i2v.mp4" } }), {
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status: 200,
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headers: { "content-type": "application/json" },
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});
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};
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try {
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const result = await handleFalVideoGeneration({
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model: "xai/grok-imagine-video/text-to-video",
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provider: "fal-ai",
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providerConfig: { baseUrl: "https://queue.fal.run" },
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body: {
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prompt: "Animate this dog",
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image_urls: ["data:image/png;base64,ZmFrZQ=="],
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},
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credentials: { apiKey: "test-key" },
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});
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assert.equal(result.success, true);
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assert.equal(requests[0]?.url, "https://queue.fal.run/xai/grok-imagine-video/image-to-video");
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assert.deepEqual(JSON.parse(requests[0]?.body || "{}"), {
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prompt: "Animate this dog",
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aspect_ratio: "16:9",
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duration: 6,
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resolution: "720p",
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image_url: "data:image/png;base64,ZmFrZQ==",
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});
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} finally {
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globalThis.fetch = originalFetch;
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}
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});
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test("handleFalMusicGeneration uses the provider-neutral queue contract", async () => {
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const originalFetch = globalThis.fetch;
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const requests: Array<{ url: string; body: string }> = [];
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globalThis.fetch = async (input, init) => {
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requests.push({ url: String(input), body: String(init?.body) });
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return new Response(JSON.stringify({ audio: { url: "https://cdn.example/music.wav" } }), {
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status: 200,
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headers: { "content-type": "application/json" },
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});
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};
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try {
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const result = await handleFalMusicGeneration({
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model: "ace-step",
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provider: "fal-ai",
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providerConfig: { baseUrl: "https://queue.fal.run" },
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body: { prompt: "ambient synthwave", lyrics: "stay awake", duration: 30 },
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credentials: { apiKey: "test-key" },
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});
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assert.equal(result.success, true);
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assert.equal(requests[0]?.url, "https://queue.fal.run/fal-ai/ace-step");
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assert.deepEqual(JSON.parse(requests[0]?.body || "{}"), {
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tags: "ambient synthwave",
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lyrics: "stay awake",
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duration: 30,
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});
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} finally {
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globalThis.fetch = originalFetch;
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}
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});
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