AirShelf/core/qa/visual-parity/shot-pipeline.mjs
seaislee1209 099bf0e6aa feat(core/frontend): wire settings/avatar/image-gen + real data render (library/product-detail/pipeline)
App.tsx: thread saveProfile/changePassword/uploadAvatar/generateImages handlers + assets prop to pages.
- settings.tsx: profile save / password modal / avatar upload wired; notification/theme prefs -> localStorage
- library.tsx + product-detail: asset thumbnails + grids render real TOS preview_url
- ai-tools ImageWorkbenchPage: 生成图片 wired to /api/ai/generate-image, renders returned assets
- pipeline.tsx stage2-5: base_assets/storyboard/video_segments(adopted_asset)/timeline(clips/subtitles/bgm)
  rendered from real project data; graceful empty states
- types.ts: +VideoSegment.adopted_asset, +Timeline.subtitle_tracks/bgm_tracks
verified: tsc --noEmit clean; screenshots confirm pipeline stages 2-5 + product-detail render real data+images
(demo asset object_keys re-pointed to image objects so thumbnails resolve)

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-05 16:20:10 +08:00

40 lines
2.0 KiB
JavaScript

// 抓图:pipeline 五阶段真数据 + 商品详情 + ai-tools(用 demo 项目/商品)
import { chromium } from "playwright";
import { mkdirSync } from "node:fs";
const BASE = "http://127.0.0.1:5180";
const API = "http://127.0.0.1:8010";
const OUT = process.argv[2] || "shots-pipeline";
mkdirSync(OUT, { recursive: true });
const tok = (await (await fetch(`${API}/api/auth/login/`, { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify({ username: "airshelf", password: "Restraint2026" }) })).json()).token;
const projs = (await (await fetch(`${API}/api/projects/`, { headers: { Authorization: `Token ${tok}` } })).json()).results;
const demo = projs.find((p) => p.name.startsWith("演示")) || projs[0];
const prods = (await (await fetch(`${API}/api/products/`, { headers: { Authorization: `Token ${tok}` } })).json()).results;
const prod = prods.find((p) => p.title.includes("补水")) || prods[0];
console.log("demo project", demo?.id, "| product", prod?.id);
const shots = [
["pipeline-stage2", `/pipeline/${demo.id}?st=2#stage-2`],
["pipeline-stage3", `/pipeline/${demo.id}?st=3#stage-3`],
["pipeline-stage4", `/pipeline/${demo.id}?st=4#stage-4`],
["pipeline-stage5", `/pipeline/${demo.id}?st=5#stage-5`],
["product-detail", `/products/${prod.id}`],
["image-optimize", `/image-optimize`]
];
const browser = await chromium.launch();
const ctx = await browser.newContext({ viewport: { width: 1440, height: 900 }, deviceScaleFactor: 1 });
await ctx.addInitScript((t) => localStorage.setItem("airshelf_token", t), tok);
const page = await ctx.newPage();
page.on("pageerror", (e) => console.error(" pageerror:", e.message));
for (const [name, route] of shots) {
try {
await page.goto(BASE + route, { waitUntil: "networkidle", timeout: 30000 });
await page.waitForTimeout(1600);
await page.screenshot({ path: `${OUT}/${name}.png`, fullPage: true });
console.log("shot", name);
} catch (e) {
console.error("FAIL", name, e.message);
}
}
await browser.close();
console.log("DONE ->", OUT);