mirror of
https://github.com/JimLiu/baoyu-skills.git
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chore(baoyu-image-gen): add deprecation notice redirecting to baoyu-imagine
This commit is contained in:
@@ -0,0 +1,188 @@
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import assert from "node:assert/strict";
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import fs from "node:fs/promises";
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import os from "node:os";
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import path from "node:path";
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import test, { type TestContext } from "node:test";
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import type { CliArgs } from "../types.ts";
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import {
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generateImage,
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getDefaultModel,
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parseAzureBaseURL,
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validateArgs,
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} from "./azure.ts";
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function useEnv(
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t: TestContext,
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values: Record<string, string | null>,
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): void {
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const previous = new Map<string, string | undefined>();
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for (const [key, value] of Object.entries(values)) {
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previous.set(key, process.env[key]);
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if (value == null) {
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delete process.env[key];
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} else {
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process.env[key] = value;
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}
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}
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t.after(() => {
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for (const [key, value] of previous.entries()) {
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if (value == null) {
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delete process.env[key];
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} else {
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process.env[key] = value;
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}
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}
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});
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}
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function makeArgs(overrides: Partial<CliArgs> = {}): CliArgs {
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return {
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prompt: null,
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promptFiles: [],
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imagePath: null,
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provider: null,
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model: null,
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aspectRatio: null,
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size: null,
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quality: null,
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imageSize: null,
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referenceImages: [],
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n: 1,
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batchFile: null,
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jobs: null,
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json: false,
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help: false,
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...overrides,
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};
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}
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async function makeTempDir(prefix: string): Promise<string> {
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return fs.mkdtemp(path.join(os.tmpdir(), prefix));
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}
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test("Azure endpoint parsing and default deployment selection follow env precedence", (t) => {
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assert.deepEqual(parseAzureBaseURL("https://example.openai.azure.com"), {
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resourceBaseURL: "https://example.openai.azure.com/openai",
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deployment: null,
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});
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assert.deepEqual(
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parseAzureBaseURL("https://example.openai.azure.com/openai/deployments/from-url"),
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{
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resourceBaseURL: "https://example.openai.azure.com/openai",
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deployment: "from-url",
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},
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);
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useEnv(t, {
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AZURE_OPENAI_BASE_URL: "https://example.openai.azure.com/openai/deployments/from-url",
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AZURE_OPENAI_DEPLOYMENT: "explicit-deploy",
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AZURE_OPENAI_IMAGE_MODEL: "env-fallback",
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});
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assert.equal(getDefaultModel(), "explicit-deploy");
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});
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test("Azure validateArgs rejects unsupported edit input formats before the API call", () => {
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assert.doesNotThrow(() =>
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validateArgs("demo-deployment", makeArgs({ referenceImages: ["hero.png", "photo.jpeg"] })),
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);
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assert.throws(
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() => validateArgs("demo-deployment", makeArgs({ referenceImages: ["hero.webp"] })),
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/PNG or JPG\/JPEG/,
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);
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});
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test("Azure image generation routes model to deployment and sends mapped quality", async (t) => {
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useEnv(t, {
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AZURE_OPENAI_API_KEY: "azure-key",
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AZURE_OPENAI_BASE_URL: "https://example.openai.azure.com/openai/deployments/default-deploy",
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AZURE_API_VERSION: null,
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AZURE_OPENAI_DEPLOYMENT: null,
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AZURE_OPENAI_IMAGE_MODEL: null,
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});
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const originalFetch = globalThis.fetch;
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t.after(() => {
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globalThis.fetch = originalFetch;
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});
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const calls: Array<{ url: string; body: string }> = [];
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globalThis.fetch = async (input, init) => {
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calls.push({
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url: String(input),
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body: String(init?.body ?? ""),
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});
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return Response.json({
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data: [{ b64_json: Buffer.from("azure-image").toString("base64") }],
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});
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};
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const bytes = await generateImage(
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"A calm lake at sunset",
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"custom-deploy",
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makeArgs({ quality: "normal" }),
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);
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assert.equal(Buffer.from(bytes).toString("utf8"), "azure-image");
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assert.equal(
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calls[0]?.url,
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"https://example.openai.azure.com/openai/deployments/custom-deploy/images/generations?api-version=2025-04-01-preview",
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);
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const body = JSON.parse(calls[0]!.body) as Record<string, string>;
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assert.equal(body.quality, "medium");
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assert.equal(body.size, "1024x1024");
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});
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test("Azure image edits include quality in multipart requests", async (t) => {
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const root = await makeTempDir("baoyu-image-gen-azure-");
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t.after(() => fs.rm(root, { recursive: true, force: true }));
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const pngPath = path.join(root, "ref.png");
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const jpgPath = path.join(root, "ref.jpg");
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await fs.writeFile(pngPath, "png-bytes");
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await fs.writeFile(jpgPath, "jpg-bytes");
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useEnv(t, {
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AZURE_OPENAI_API_KEY: "azure-key",
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AZURE_OPENAI_BASE_URL: "https://example.openai.azure.com",
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AZURE_API_VERSION: "2025-04-01-preview",
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AZURE_OPENAI_DEPLOYMENT: null,
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AZURE_OPENAI_IMAGE_MODEL: null,
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});
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const originalFetch = globalThis.fetch;
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t.after(() => {
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globalThis.fetch = originalFetch;
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});
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const calls: Array<{ url: string; form: FormData }> = [];
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globalThis.fetch = async (input, init) => {
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calls.push({
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url: String(input),
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form: init?.body as FormData,
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});
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return Response.json({
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data: [{ b64_json: Buffer.from("edited-image").toString("base64") }],
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});
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};
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const bytes = await generateImage(
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"Add warm lighting",
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"edit-deploy",
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makeArgs({
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quality: "2k",
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referenceImages: [pngPath, jpgPath],
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}),
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);
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assert.equal(Buffer.from(bytes).toString("utf8"), "edited-image");
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assert.equal(
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calls[0]?.url,
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"https://example.openai.azure.com/openai/deployments/edit-deploy/images/edits?api-version=2025-04-01-preview",
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);
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assert.equal(calls[0]?.form.get("quality"), "high");
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assert.equal(calls[0]?.form.get("size"), "1024x1024");
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assert.equal(calls[0]?.form.getAll("image[]").length, 2);
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});
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