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df23150 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | import { beforeEach, describe, expect, it, vi } from "vitest";
import { createTestHarness } from "@paperclipai/plugin-sdk/testing";
import { FETCH_MODELS_ACTION } from "../src/constants.js";
import manifest from "../src/manifest.js";
import plugin from "../src/worker.js";
describe("plugin worker", () => {
beforeEach(() => {
vi.restoreAllMocks();
});
it("registers the fetch-models action and returns normalized models", async () => {
const fetchSpy = vi.spyOn(globalThis, "fetch").mockResolvedValue({
ok: true,
json: async () => ({
data: [
{ id: "gpt-5.4" },
{ id: "gpt-5.3-codex", name: "GPT-5.3 Codex" },
],
}),
} as Response);
const harness = createTestHarness({
manifest,
capabilities: [...manifest.capabilities],
});
await plugin.definition.setup(harness.ctx);
const result = await harness.performAction<{
baseUrl: string;
modelCatalog: Array<{ id: string; label: string }>;
}>(FETCH_MODELS_ACTION, {
baseUrl: "https://example.test/v1/",
apiKey: "sk-provider",
});
expect(fetchSpy).toHaveBeenCalledOnce();
expect(result.baseUrl).toBe("https://example.test/v1");
expect(result.modelCatalog.map((entry) => entry.id)).toEqual([
"gpt-5.3-codex",
"gpt-5.4",
]);
});
});
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