Media jobs report progress and results through the media block, which the web app did not render. - MediaCard renders the block: operation icon, title, status (reusing the task card's labels, plus "Waiting for GPU" for jobs queued behind the GPU), a progress bar while active, the error when failed, and outputs: images as thumbnails with the existing lightbox, video and audio in the media player, subtitle and text files as file cards. Finished video and audio get a download link, "Export" with presets labelled by aspect ratio (the video's own shape left out) and "Transcribe", offered only when the space can run them; running jobs get "Cancel". - MessageView renders it with one branch. - An E2E seeds the card on a thread snapshot with real uploaded artifacts. - artifact-url.ts and MediaPlayer.tsx are minimal stand-ins for the pipeline workstream's files and give way to them on merge. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
165 lines
5.4 KiB
TypeScript
165 lines
5.4 KiB
TypeScript
import { expect, type Page, test } from "@playwright/test";
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import {
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activeBotId,
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captureScreenshot,
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completeOnboarding,
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fetchRpcEnvelope,
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fulfillFetchedRpc,
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rpc,
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signup,
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} from "./helpers";
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type MediaBlock = Record<string, unknown> & { kind: "media" };
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type Snapshot = {
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threadId: string;
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messages: Array<{ seq: number } & Record<string, unknown>>;
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};
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/** One second of a quiet 440 Hz tone as 8 kHz mono 16-bit WAV, small enough to inline. */
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function toneWavBase64(): string {
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const rate = 8000;
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const samples = rate;
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const buffer = Buffer.alloc(44 + samples * 2);
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buffer.write("RIFF", 0);
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buffer.writeUInt32LE(36 + samples * 2, 4);
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buffer.write("WAVEfmt ", 8);
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buffer.writeUInt32LE(16, 16);
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buffer.writeUInt16LE(1, 20);
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buffer.writeUInt16LE(1, 22);
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buffer.writeUInt32LE(rate, 24);
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buffer.writeUInt32LE(rate * 2, 28);
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buffer.writeUInt16LE(2, 32);
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buffer.writeUInt16LE(16, 34);
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buffer.write("data", 36);
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buffer.writeUInt32LE(samples * 2, 40);
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for (let index = 0; index < samples; index += 1) {
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buffer.writeInt16LE(
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Math.round(Math.sin((2 * Math.PI * 440 * index) / rate) * 3000),
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44 + index * 2,
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);
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}
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return buffer.toString("base64");
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}
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/** A small grey gradient still, drawn by the browser so no binary fixture is needed. */
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async function stillPngBase64(page: Page): Promise<string> {
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return page.evaluate(() => {
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const canvas = document.createElement("canvas");
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canvas.width = 320;
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canvas.height = 180;
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const context = canvas.getContext("2d")!;
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const gradient = context.createLinearGradient(0, 0, 320, 180);
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gradient.addColorStop(0, "rgb(40, 40, 40)");
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gradient.addColorStop(1, "rgb(200, 200, 200)");
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context.fillStyle = gradient;
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context.fillRect(0, 0, 320, 180);
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return canvas.toDataURL("image/png").split(",")[1]!;
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});
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}
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/**
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* Media jobs run on a GPU server or ffmpeg that CI does not have, so the card is seeded: real
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* artifacts are uploaded, and the thread snapshot carries a bot message with the job's card.
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*/
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async function seedMediaMessage(page: Page, botId: string, block: () => MediaBlock) {
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await page.route("**/rpc/threads/get", async (route) => {
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const fetched = await fetchRpcEnvelope(route);
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const snapshot = fetched.body.json as (Snapshot & { botId?: string }) | undefined;
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if (snapshot?.botId === botId) {
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const seq = Math.max(0, ...snapshot.messages.map((message) => message.seq)) + 1;
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snapshot.messages.push({
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id: `media-message-${seq}`,
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threadId: snapshot.threadId,
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seq,
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role: "bot",
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botId,
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blocks: [block()],
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createdAt: new Date().toISOString(),
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});
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}
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await fulfillFetchedRpc(route, fetched);
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});
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}
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test("renders a media job card while it runs and when it is done", async ({ page }, testInfo) => {
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const stamp = Date.now();
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await signup(page, `media-card-${stamp}@rakazo.test`, "password12", "Media Card");
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await completeOnboarding(page);
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const botId = activeBotId(page);
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const still = await rpc<{ id: string; size: number }>(page, "artifacts/create", {
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botId,
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name: "still.png",
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mimeType: "image/png",
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contentBase64: await stillPngBase64(page),
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});
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const voice = await rpc<{ id: string; size: number }>(page, "artifacts/create", {
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botId,
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name: "voice-note.wav",
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mimeType: "audio/wav",
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contentBase64: toneWavBase64(),
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});
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let state: "running" | "done" = "running";
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await seedMediaMessage(page, botId, () =>
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state === "running"
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? {
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kind: "media",
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jobId: "media-job-1",
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operation: "edit_video",
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status: "running",
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title: "Cut the pauses and reframe for 9:16",
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progress: 0.4,
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outputs: [],
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}
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: {
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kind: "media",
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jobId: "media-job-1",
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operation: "edit_video",
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status: "done",
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title: "Cut the pauses and reframe for 9:16",
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outputs: [
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{
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artifactId: still.id,
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kind: "image",
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mimeType: "image/png",
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name: "still.png",
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size: still.size,
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width: 320,
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height: 180,
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},
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{
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artifactId: voice.id,
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kind: "audio",
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mimeType: "audio/wav",
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name: "voice-note.wav",
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size: voice.size,
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durationMs: 1000,
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},
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],
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},
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);
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await page.reload();
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const card = page.getByTestId("media-card");
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await expect(card).toBeVisible({ timeout: 30_000 });
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await expect(card).toHaveAttribute("data-status", "running");
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await expect(card).toContainText("Cut the pauses and reframe for 9:16");
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await expect(card).toContainText("Working…");
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await expect(card.getByRole("progressbar")).toHaveAttribute("aria-valuenow", "40");
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await captureScreenshot(page, testInfo, "media-card-running");
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state = "done";
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await page.reload();
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await expect(card).toHaveAttribute("data-status", "done", { timeout: 30_000 });
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await expect(card).toContainText("Done");
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await expect(card.getByRole("progressbar")).toHaveCount(0);
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await expect(card.getByRole("img", { name: "still.png" })).toBeVisible();
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await expect(card.locator("audio")).toHaveCount(1);
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await expect(card.getByRole("link", { name: "Download voice-note.wav" })).toHaveAttribute(
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"download",
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"voice-note.wav",
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);
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await captureScreenshot(page, testInfo, "media-card-done");
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});
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