Files
NianAIGC/tests/evolink-image-client.test.ts
2026-09-23 15:10:13 +08:00

108 lines
4.3 KiB
TypeScript

import { describe, expect, it } from "vitest";
import {
buildEvolinkImagePayload,
extractEvolinkResultUrls,
getEvolinkTaskId,
mapEvolinkStatus
} from "@/lib/evolink/image-client";
describe("EvoLink image client helpers", () => {
it("builds GPT Image 2 payloads with the platform 1K resolution", () => {
const payload = buildEvolinkImagePayload("image.generate", {
prompt: "商品海报",
imageUrls: ["https://example.com/ref.png"],
width: 2048,
height: 2048
}, {
baseUrl: "https://api.evolink.ai",
model: "gpt-image-2",
quality: "medium"
});
expect(payload).toMatchObject({
model: "gpt-image-2",
prompt: "商品海报",
image_urls: ["https://example.com/ref.png"],
size: "1:1",
quality: "medium",
resolution: "1K",
n: 1
});
});
it.each(["gpt-image-2.5-flare", "gpt-image-2.5-sunburst"])("selects %s for a single 1K image", (model) => {
const payload = buildEvolinkImagePayload("image.generate", {
prompt: "商品海报",
model,
quality: "high"
}, { baseUrl: "https://api.evolink.ai", model: "gpt-image-2" });
expect(payload).toMatchObject({ model, quality: "high", n: 1, resolution: "1K", size: "1:1" });
expect(buildEvolinkImagePayload("image.generate", {
prompt: "商品海报",
model
}, { baseUrl: "https://api.evolink.ai", model: "gpt-image-2" }).quality).toBe("medium");
});
it("rejects arbitrary models supplied by a caller but preserves a configured default model", () => {
const settings = { baseUrl: "https://api.evolink.ai", model: "custom-image-model" };
expect(() => buildEvolinkImagePayload("image.generate", { prompt: "海报", model: "arbitrary-model" }, settings))
.toThrow("Unsupported EvoLink image model.");
expect(buildEvolinkImagePayload("image.generate", { prompt: "海报" }, settings).model).toBe("custom-image-model");
expect(buildEvolinkImagePayload("image.generate", { prompt: "海报", model: "custom-image-model" }, settings).model).toBe("custom-image-model");
});
it.each([
[{ quality: 1 }, "quality"],
[{ quality: "ultra" }, "quality"],
[{ resolution: "2K" }, "resolution"],
[{ n: 2 }, "n"],
[{ imageCount: 2 }, "imageCount"],
[{ size: "2048x2048" }, "size"],
[{ width: 3504, height: 2400 }, "dimensions"],
[{ width: 1000, height: 992 }, "dimensions"],
[{ width: 1200 }, "both width and height"],
[{ force_single: false }, "force_single"],
[{ settings: { resolution: "2K" } }, "resolution"],
[{ settings: { n: 2 } }, "n"],
[{ imageUrls: Array(17).fill("https://example.com/ref.png") }, "16 reference images"]
])("rejects invalid Image 2.5 input %j", (invalid, reason) => {
expect(() => buildEvolinkImagePayload("image.generate", { prompt: "海报", model: "gpt-image-2.5-flare", ...invalid }, {
baseUrl: "https://api.evolink.ai", model: "gpt-image-2"
})).toThrow(reason);
});
it("rejects an invalid configured quality for Image 2.5", () => {
expect(() => buildEvolinkImagePayload("image.generate", { prompt: "海报", model: "gpt-image-2.5-flare" }, {
baseUrl: "https://api.evolink.ai", model: "gpt-image-2", quality: "ultra"
})).toThrow("quality");
});
it("accepts a bounded 16px custom size and A4 presets", () => {
const settings = { baseUrl: "https://api.evolink.ai", model: "gpt-image-2.5-flare" };
expect(buildEvolinkImagePayload("image.generate", { prompt: "海报", width: 1024, height: 768 }, settings).size).toBe("4:3");
expect(buildEvolinkImagePayload("image.generate", { prompt: "海报", width: 848, height: 1200 }, settings).size).toBe("848x1200");
expect(buildEvolinkImagePayload("image.generate", { prompt: "海报", width: 1280, height: 736 }, settings).size).toBe("1280x736");
});
it("normalizes task ids, statuses, and result URLs", () => {
const response = {
data: {
task_id: "task-1",
status: "completed",
results: [
"https://example.com/a.png",
{ image_url: "https://example.com/b.png" }
]
}
};
expect(getEvolinkTaskId(response)).toBe("task-1");
expect(mapEvolinkStatus(response)).toBe("succeeded");
expect(extractEvolinkResultUrls(response)).toEqual([
"https://example.com/a.png",
"https://example.com/b.png"
]);
});
});