JimLiu-baoyu-skills/skills/baoyu-image-gen/scripts/providers/minimax.test.ts

172 lines
5.0 KiB
TypeScript

import assert from "node:assert/strict";
import fs from "node:fs/promises";
import os from "node:os";
import path from "node:path";
import test, { type TestContext } from "node:test";
import type { CliArgs } from "../types.ts";
import {
buildMinimaxUrl,
buildRequestBody,
buildSubjectReference,
extractImageFromResponse,
parsePixelSize,
validateArgs,
} from "./minimax.ts";
function useEnv(
t: TestContext,
values: Record<string, string | null>,
): void {
const previous = new Map<string, string | undefined>();
for (const [key, value] of Object.entries(values)) {
previous.set(key, process.env[key]);
if (value == null) {
delete process.env[key];
} else {
process.env[key] = value;
}
}
t.after(() => {
for (const [key, value] of previous.entries()) {
if (value == null) {
delete process.env[key];
} else {
process.env[key] = value;
}
}
});
}
function makeArgs(overrides: Partial<CliArgs> = {}): CliArgs {
return {
prompt: null,
promptFiles: [],
imagePath: null,
provider: null,
model: null,
aspectRatio: null,
size: null,
quality: null,
imageSize: null,
referenceImages: [],
n: 1,
batchFile: null,
jobs: null,
json: false,
help: false,
...overrides,
};
}
test("MiniMax URL builder normalizes /v1 suffixes", (t) => {
useEnv(t, { MINIMAX_BASE_URL: "https://api.minimax.io" });
assert.equal(buildMinimaxUrl(), "https://api.minimax.io/v1/image_generation");
process.env.MINIMAX_BASE_URL = "https://proxy.example.com/custom/v1/";
assert.equal(buildMinimaxUrl(), "https://proxy.example.com/custom/v1/image_generation");
});
test("MiniMax size parsing and validation follow documented constraints", () => {
assert.deepEqual(parsePixelSize("1536x1024"), { width: 1536, height: 1024 });
assert.deepEqual(parsePixelSize("1536*1024"), { width: 1536, height: 1024 });
assert.equal(parsePixelSize("wide"), null);
validateArgs("image-01", makeArgs({ size: "1536x1024", n: 9 }));
assert.throws(
() => validateArgs("image-01-live", makeArgs({ size: "1536x1024" })),
/only supported with model image-01/,
);
assert.throws(
() => validateArgs("image-01", makeArgs({ size: "1537x1024" })),
/divisible by 8/,
);
assert.throws(
() => validateArgs("image-01", makeArgs({ aspectRatio: "2.35:1" })),
/aspect_ratio must be one of/,
);
assert.throws(
() => validateArgs("image-01", makeArgs({ n: 10 })),
/at most 9 images/,
);
});
test("MiniMax request body maps aspect ratio, size, n, and subject references", async (t) => {
const dir = await fs.mkdtemp(path.join(os.tmpdir(), "minimax-test-"));
t.after(() => fs.rm(dir, { recursive: true, force: true }));
const refPath = path.join(dir, "portrait.png");
await fs.writeFile(refPath, Buffer.from("portrait"));
const ratioBody = await buildRequestBody(
"A portrait by the window",
"image-01",
makeArgs({ aspectRatio: "16:9", n: 2, referenceImages: [refPath] }),
);
assert.equal(ratioBody.aspect_ratio, "16:9");
assert.equal(ratioBody.n, 2);
assert.equal(ratioBody.response_format, "base64");
assert.match(ratioBody.subject_reference?.[0]?.image_file || "", /^data:image\/png;base64,/);
const sizeBody = await buildRequestBody(
"A portrait by the window",
"image-01",
makeArgs({ size: "1536x1024" }),
);
assert.equal(sizeBody.width, 1536);
assert.equal(sizeBody.height, 1024);
assert.equal(sizeBody.aspect_ratio, undefined);
});
test("MiniMax subject references require supported file types", async (t) => {
const dir = await fs.mkdtemp(path.join(os.tmpdir(), "minimax-ref-"));
t.after(() => fs.rm(dir, { recursive: true, force: true }));
const good = path.join(dir, "portrait.jpg");
const bad = path.join(dir, "portrait.webp");
await fs.writeFile(good, Buffer.from("portrait"));
await fs.writeFile(bad, Buffer.from("portrait"));
const subjectReference = await buildSubjectReference([good]);
assert.equal(subjectReference?.[0]?.type, "character");
await assert.rejects(
() => buildSubjectReference([bad]),
/only supports JPG, JPEG, or PNG/,
);
});
test("MiniMax response extraction supports base64 and URL payloads", async (t) => {
const originalFetch = globalThis.fetch;
t.after(() => {
globalThis.fetch = originalFetch;
});
const fromBase64 = await extractImageFromResponse({
data: {
image_base64: [Buffer.from("hello").toString("base64")],
},
});
assert.equal(Buffer.from(fromBase64).toString("utf8"), "hello");
globalThis.fetch = async () =>
new Response(Uint8Array.from([1, 2, 3]), {
status: 200,
headers: { "Content-Type": "image/jpeg" },
});
const fromUrl = await extractImageFromResponse({
data: {
image_urls: ["https://example.com/output.jpg"],
},
});
assert.deepEqual([...fromUrl], [1, 2, 3]);
await assert.rejects(
() => extractImageFromResponse({ base_resp: { status_code: 1001, status_msg: "blocked" } }),
/blocked/,
);
});