mirror of
https://github.com/JimLiu/baoyu-skills.git
synced 2026-07-12 05:51:44 +08:00
feat(baoyu-imagine): rename baoyu-image-gen to baoyu-imagine
This commit is contained in:
@@ -1,412 +0,0 @@
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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, ExtendConfig } from "./types.ts";
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import {
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createTaskArgs,
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detectProvider,
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getConfiguredMaxWorkers,
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getConfiguredProviderRateLimits,
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getWorkerCount,
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isRetryableGenerationError,
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loadBatchTasks,
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mergeConfig,
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normalizeOutputImagePath,
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parseArgs,
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parseSimpleYaml,
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} from "./main.ts";
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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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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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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("parseArgs parses the main image-gen CLI flags", () => {
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const args = parseArgs([
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"--promptfiles",
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"prompts/system.md",
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"prompts/content.md",
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"--image",
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"out/hero",
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"--provider",
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"openai",
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"--quality",
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"2k",
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"--imageSize",
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"4k",
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"--ref",
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"ref/one.png",
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"ref/two.jpg",
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"--n",
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"3",
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"--jobs",
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"5",
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"--json",
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]);
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assert.deepEqual(args.promptFiles, ["prompts/system.md", "prompts/content.md"]);
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assert.equal(args.imagePath, "out/hero");
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assert.equal(args.provider, "openai");
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assert.equal(args.quality, "2k");
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assert.equal(args.imageSize, "4K");
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assert.deepEqual(args.referenceImages, ["ref/one.png", "ref/two.jpg"]);
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assert.equal(args.n, 3);
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assert.equal(args.jobs, 5);
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assert.equal(args.json, true);
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});
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test("parseArgs falls back to positional prompt and rejects invalid provider", () => {
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const positional = parseArgs(["draw", "a", "cat"]);
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assert.equal(positional.prompt, "draw a cat");
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assert.throws(
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() => parseArgs(["--provider", "stability"]),
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/Invalid provider/,
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);
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});
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test("parseSimpleYaml parses nested defaults and provider limits", () => {
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const yaml = `
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version: 2
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default_provider: openrouter
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default_quality: normal
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default_aspect_ratio: '16:9'
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default_image_size: 2K
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default_model:
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google: gemini-3-pro-image-preview
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openai: gpt-image-1.5
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azure: image-prod
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minimax: image-01
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batch:
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max_workers: 8
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provider_limits:
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google:
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concurrency: 2
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start_interval_ms: 900
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openai:
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concurrency: 4
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minimax:
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concurrency: 2
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start_interval_ms: 1400
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azure:
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concurrency: 1
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start_interval_ms: 1500
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`;
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const config = parseSimpleYaml(yaml);
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assert.equal(config.version, 2);
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assert.equal(config.default_provider, "openrouter");
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assert.equal(config.default_quality, "normal");
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assert.equal(config.default_aspect_ratio, "16:9");
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assert.equal(config.default_image_size, "2K");
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assert.equal(config.default_model?.google, "gemini-3-pro-image-preview");
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assert.equal(config.default_model?.openai, "gpt-image-1.5");
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assert.equal(config.default_model?.azure, "image-prod");
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assert.equal(config.default_model?.minimax, "image-01");
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assert.equal(config.batch?.max_workers, 8);
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assert.deepEqual(config.batch?.provider_limits?.google, {
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concurrency: 2,
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start_interval_ms: 900,
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});
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assert.deepEqual(config.batch?.provider_limits?.openai, {
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concurrency: 4,
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});
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assert.deepEqual(config.batch?.provider_limits?.minimax, {
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concurrency: 2,
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start_interval_ms: 1400,
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});
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assert.deepEqual(config.batch?.provider_limits?.azure, {
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concurrency: 1,
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start_interval_ms: 1500,
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});
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});
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test("mergeConfig only fills values missing from CLI args", () => {
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const merged = mergeConfig(
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makeArgs({
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provider: "openai",
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quality: null,
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aspectRatio: null,
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imageSize: "4K",
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}),
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{
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default_provider: "google",
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default_quality: "2k",
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default_aspect_ratio: "3:2",
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default_image_size: "2K",
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} satisfies Partial<ExtendConfig>,
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);
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assert.equal(merged.provider, "openai");
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assert.equal(merged.quality, "2k");
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assert.equal(merged.aspectRatio, "3:2");
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assert.equal(merged.imageSize, "4K");
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});
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test("detectProvider rejects non-ref-capable providers and prefers Google first when multiple keys exist", (t) => {
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assert.throws(
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() =>
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detectProvider(
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makeArgs({
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provider: "dashscope",
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referenceImages: ["ref.png"],
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}),
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),
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/Reference images require a ref-capable provider/,
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);
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useEnv(t, {
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GOOGLE_API_KEY: "google-key",
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OPENAI_API_KEY: "openai-key",
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OPENROUTER_API_KEY: null,
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DASHSCOPE_API_KEY: null,
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MINIMAX_API_KEY: null,
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REPLICATE_API_TOKEN: null,
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JIMENG_ACCESS_KEY_ID: null,
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JIMENG_SECRET_ACCESS_KEY: null,
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ARK_API_KEY: null,
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});
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assert.equal(detectProvider(makeArgs()), "google");
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});
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test("detectProvider selects an available ref-capable provider for reference-image tasks", (t) => {
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useEnv(t, {
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GOOGLE_API_KEY: null,
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OPENAI_API_KEY: "openai-key",
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AZURE_OPENAI_API_KEY: null,
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AZURE_OPENAI_BASE_URL: null,
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OPENROUTER_API_KEY: null,
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DASHSCOPE_API_KEY: null,
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MINIMAX_API_KEY: null,
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REPLICATE_API_TOKEN: null,
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JIMENG_ACCESS_KEY_ID: null,
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JIMENG_SECRET_ACCESS_KEY: null,
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ARK_API_KEY: null,
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});
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assert.equal(
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detectProvider(makeArgs({ referenceImages: ["ref.png"] })),
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"openai",
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);
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});
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test("detectProvider selects Azure when only Azure credentials are configured", (t) => {
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useEnv(t, {
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GOOGLE_API_KEY: null,
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OPENAI_API_KEY: null,
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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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OPENROUTER_API_KEY: null,
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DASHSCOPE_API_KEY: null,
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MINIMAX_API_KEY: null,
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REPLICATE_API_TOKEN: null,
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JIMENG_ACCESS_KEY_ID: null,
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JIMENG_SECRET_ACCESS_KEY: null,
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ARK_API_KEY: null,
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});
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assert.equal(detectProvider(makeArgs()), "azure");
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assert.equal(
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detectProvider(makeArgs({ referenceImages: ["ref.png"] })),
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"azure",
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);
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});
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test("detectProvider infers Seedream from model id and allows Seedream reference-image workflows", (t) => {
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useEnv(t, {
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GOOGLE_API_KEY: null,
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OPENAI_API_KEY: null,
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OPENROUTER_API_KEY: null,
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DASHSCOPE_API_KEY: null,
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MINIMAX_API_KEY: null,
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REPLICATE_API_TOKEN: null,
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JIMENG_ACCESS_KEY_ID: null,
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JIMENG_SECRET_ACCESS_KEY: null,
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ARK_API_KEY: "ark-key",
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});
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assert.equal(
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detectProvider(
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makeArgs({
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model: "doubao-seedream-4-5-251128",
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referenceImages: ["ref.png"],
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}),
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),
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"seedream",
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);
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assert.equal(
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detectProvider(
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makeArgs({
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provider: "seedream",
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referenceImages: ["ref.png"],
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}),
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),
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"seedream",
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);
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});
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test("detectProvider selects MiniMax when only MiniMax credentials are configured or the model id matches", (t) => {
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useEnv(t, {
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GOOGLE_API_KEY: null,
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OPENAI_API_KEY: null,
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AZURE_OPENAI_API_KEY: null,
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AZURE_OPENAI_BASE_URL: null,
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OPENROUTER_API_KEY: null,
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DASHSCOPE_API_KEY: null,
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MINIMAX_API_KEY: "minimax-key",
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REPLICATE_API_TOKEN: null,
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JIMENG_ACCESS_KEY_ID: null,
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JIMENG_SECRET_ACCESS_KEY: null,
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ARK_API_KEY: null,
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});
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assert.equal(detectProvider(makeArgs()), "minimax");
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assert.equal(detectProvider(makeArgs({ referenceImages: ["ref.png"] })), "minimax");
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assert.equal(detectProvider(makeArgs({ model: "image-01-live" })), "minimax");
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});
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test("batch worker and provider-rate-limit configuration prefer env over EXTEND config", (t) => {
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useEnv(t, {
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BAOYU_IMAGE_GEN_MAX_WORKERS: "12",
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BAOYU_IMAGE_GEN_GOOGLE_CONCURRENCY: "5",
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BAOYU_IMAGE_GEN_GOOGLE_START_INTERVAL_MS: "450",
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});
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const extendConfig: Partial<ExtendConfig> = {
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batch: {
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max_workers: 7,
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provider_limits: {
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google: {
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concurrency: 2,
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start_interval_ms: 900,
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},
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minimax: {
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concurrency: 1,
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start_interval_ms: 1500,
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},
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},
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},
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};
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assert.equal(getConfiguredMaxWorkers(extendConfig), 12);
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assert.deepEqual(getConfiguredProviderRateLimits(extendConfig).google, {
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concurrency: 5,
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startIntervalMs: 450,
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});
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assert.deepEqual(getConfiguredProviderRateLimits(extendConfig).minimax, {
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concurrency: 1,
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startIntervalMs: 1500,
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});
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});
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test("loadBatchTasks and createTaskArgs resolve batch-relative paths", async (t) => {
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const root = await makeTempDir("baoyu-image-gen-batch-");
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t.after(() => fs.rm(root, { recursive: true, force: true }));
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const batchFile = path.join(root, "jobs", "batch.json");
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await fs.mkdir(path.dirname(batchFile), { recursive: true });
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await fs.writeFile(
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batchFile,
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JSON.stringify({
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jobs: 2,
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tasks: [
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{
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id: "hero",
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promptFiles: ["prompts/hero.md"],
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image: "out/hero",
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ref: ["refs/hero.png"],
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ar: "16:9",
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},
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],
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}),
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);
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const loaded = await loadBatchTasks(batchFile);
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assert.equal(loaded.jobs, 2);
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assert.equal(loaded.batchDir, path.dirname(batchFile));
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assert.equal(loaded.tasks[0]?.id, "hero");
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const taskArgs = createTaskArgs(
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makeArgs({
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provider: "replicate",
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quality: "2k",
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json: true,
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}),
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loaded.tasks[0]!,
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loaded.batchDir,
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);
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assert.deepEqual(taskArgs.promptFiles, [
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path.join(loaded.batchDir, "prompts/hero.md"),
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]);
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assert.equal(taskArgs.imagePath, path.join(loaded.batchDir, "out/hero"));
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assert.deepEqual(taskArgs.referenceImages, [
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path.join(loaded.batchDir, "refs/hero.png"),
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]);
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assert.equal(taskArgs.provider, "replicate");
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assert.equal(taskArgs.aspectRatio, "16:9");
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assert.equal(taskArgs.quality, "2k");
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assert.equal(taskArgs.json, true);
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});
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test("path normalization, worker count, and retry classification follow expected rules", () => {
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assert.match(normalizeOutputImagePath("out/sample"), /out[\\/]+sample\.png$/);
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assert.match(normalizeOutputImagePath("out/sample", ".jpg"), /out[\\/]+sample\.jpg$/);
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assert.match(normalizeOutputImagePath("out/sample.webp"), /out[\\/]+sample\.webp$/);
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assert.equal(getWorkerCount(8, null, 3), 3);
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assert.equal(getWorkerCount(2, 6, 5), 2);
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assert.equal(getWorkerCount(5, 0, 4), 1);
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assert.equal(isRetryableGenerationError(new Error("API error (401): denied")), false);
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assert.equal(isRetryableGenerationError(new Error("socket hang up")), true);
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});
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