mirror of
https://github.com/modelstudioai/cli.git
synced 2026-09-14 19:49:23 +08:00
clh02467605
d646a4e780
- Replaced hardcoded command paths with dynamic route mappings in E2E tests. - Enhanced documentation for command testing, specifying minimum route requirements. - Consolidated command path management into `topic-routes.ts` for better maintainability. - Updated various E2E test cases to utilize the new routing structure, ensuring consistency across tests. - Removed redundant helper functions and improved test clarity by directly referencing route exports.
84 lines
2.7 KiB
TypeScript
84 lines
2.7 KiB
TypeScript
import { join } from "node:path";
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import { describe, expect, test } from "vite-plus/test";
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import {
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cliTimeoutPrefix,
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e2eLabelFromMetaUrl,
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isBailianE2EVideoEnabled,
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isDashScopeE2EReady,
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makeE2eOutputDir,
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parseStdoutJson,
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runCommandE2e,
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} from "./helpers.ts";
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import { VIDEO_ROUTES } from "./topic-routes.ts";
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/**
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* Video generate (t2v)：help / 分组不依赖密钥；长任务需视频 E2E + DashScope。
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*/
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describe("e2e: video generate (t2v)", () => {
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test("video generate --help 正常退出", async () => {
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const { stderr, exitCode } = await runCommandE2e(VIDEO_ROUTES, ["video", "generate", "--help"]);
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expect(exitCode, stderr).toBe(0);
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expect(stderr).toMatch(/generate|--prompt|--model|download|image/i);
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});
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});
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describe.skipIf(!isBailianE2EVideoEnabled() || !isDashScopeE2EReady())(
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"e2e: video generate (t2v)（DashScope 视频）",
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() => {
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test("video generate 缺少 --prompt 时报用法错误并退出 (2)", async () => {
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const { stderr, exitCode } = await runCommandE2e(VIDEO_ROUTES, [
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"video",
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"generate",
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...cliTimeoutPrefix(),
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"--model",
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"happyhorse-1.1-t2v",
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]);
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expect(exitCode).toBe(2);
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expect(stderr).toMatch(/--prompt|Usage:/i);
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});
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test("video generate --dry-run（无 --image）仅输出 request 且不调生成接口", async () => {
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const { stdout, stderr, exitCode } = await runCommandE2e(VIDEO_ROUTES, [
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"video",
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"generate",
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"--dry-run",
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...cliTimeoutPrefix(),
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"--model",
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"happyhorse-1.1-t2v",
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"--prompt",
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"干跑校验",
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"--output",
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"json",
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]);
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expect(exitCode, stderr).toBe(0);
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const data = parseStdoutJson<{ request?: { model?: string; input?: { prompt?: string } } }>(
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stdout,
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);
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expect(data.request?.model).toBe("happyhorse-1.1-t2v");
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expect(data.request?.input?.prompt).toBe("干跑校验");
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});
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test("【happyhorse-1.1-t2v】文本生成视频", async () => {
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const outDir = makeE2eOutputDir(e2eLabelFromMetaUrl(import.meta.url));
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const { stdout, stderr, exitCode } = await runCommandE2e(VIDEO_ROUTES, [
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"video",
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"generate",
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...cliTimeoutPrefix(),
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"--model",
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"happyhorse-1.1-t2v",
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"--prompt",
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"夕阳下海面波光，远景静态镜头",
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"--download",
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join(outDir, "e2e-video-t2v.mp4"),
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"--output",
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"json",
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]);
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expect(exitCode, stderr).toBe(0);
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const data = parseStdoutJson<{ status?: string; video_url?: string }>(stdout);
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expect(data.status).toBe("SUCCEEDED");
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expect(data.video_url?.startsWith("https://")).toBe(true);
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}, 3_600_000);
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},
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);
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