evOo-local/apps/web/e2e/media-card.spec.ts
Claude 898c4f6388
Add analyze_video to find cut points for the bot
To cut a social video well the bot has to know where the cuts fit, and it
could not look at a video at all. analyze_video is a read-only media job:
one ffmpeg pass prints scene changes (scene score above 0.3, one per cut),
pauses (silencedetect with the remove_silence defaults) and short-term
loudness (ebur128) to files in the job directory, and a transcript made
from the video by transcribe (an SRT whose parent is the video) adds when
each line is spoken. The job stores nothing; its card just says done.

The result reaches the bot through the existing media job path: the job
always wakes the bot that started it (the tool has no continue_after) and
the summary carries a short legend plus compact JSON. The runtime's
summary limit grows to 12,000 characters and the summary is fitted into
it: at most 200 entries per list, then every list shrinks evenly, keeping
the strongest cuts, the longest pauses and the start of the transcript,
with omitted counts. The wake prompt no longer claims the card shows the
result when a job made no files.

Jobs read derived artifacts through a new fetchDerivedArtifact, scoped to
the job's user like fetchArtifact. A migration admits the operation in the
media_jobs check and adds the tool to existing Studio specialists that
still edit video. The web card gets an icon; no new copy.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
2026-10-05 09:54:57 +00:00

239 lines
8.2 KiB
TypeScript

import type { Page } from "@playwright/test";
import { expect, test } from "@playwright/test";
import {
activeBotId,
captureScreenshot,
completeOnboarding,
fetchRpcEnvelope,
rpc,
signup,
} from "./helpers";
type MediaBlock = Record<string, unknown> & { kind: "media" };
type Snapshot = {
botId?: string;
threadId: string;
messages: Array<{ seq: number } & Record<string, unknown>>;
};
/** One second of a quiet 440 Hz tone as 8 kHz mono 16-bit WAV, small enough to inline. */
function toneWavBase64(): string {
const rate = 8000;
const samples = rate;
const buffer = Buffer.alloc(44 + samples * 2);
buffer.write("RIFF", 0);
buffer.writeUInt32LE(36 + samples * 2, 4);
buffer.write("WAVEfmt ", 8);
buffer.writeUInt32LE(16, 16);
buffer.writeUInt16LE(1, 20);
buffer.writeUInt16LE(1, 22);
buffer.writeUInt32LE(rate, 24);
buffer.writeUInt32LE(rate * 2, 28);
buffer.writeUInt16LE(2, 32);
buffer.writeUInt16LE(16, 34);
buffer.write("data", 36);
buffer.writeUInt32LE(samples * 2, 40);
for (let index = 0; index < samples; index += 1) {
buffer.writeInt16LE(
Math.round(Math.sin((2 * Math.PI * 440 * index) / rate) * 3000),
44 + index * 2,
);
}
return buffer.toString("base64");
}
/** A small grey gradient still, drawn by the browser so no binary fixture is needed. */
async function stillPngBase64(page: Page): Promise<string> {
return page.evaluate(() => {
const canvas = document.createElement("canvas");
canvas.width = 320;
canvas.height = 180;
const context = canvas.getContext("2d")!;
const gradient = context.createLinearGradient(0, 0, 320, 180);
gradient.addColorStop(0, "rgb(40, 40, 40)");
gradient.addColorStop(1, "rgb(200, 200, 200)");
context.fillStyle = gradient;
context.fillRect(0, 0, 320, 180);
return canvas.toDataURL("image/png").split(",")[1]!;
});
}
/**
* Media jobs run on a GPU server or ffmpeg that CI does not have, so the card is seeded: real
* artifacts are uploaded, and the bot thread's snapshot (from bootstrap on load, threads/get on
* refresh) carries a bot message with the job's card.
*/
async function seedMediaMessage(page: Page, botId: string, block: () => MediaBlock) {
const seed = (snapshot: Snapshot | undefined) => {
if (snapshot?.botId !== botId) return;
const seq = Math.max(0, ...snapshot.messages.map((message) => message.seq)) + 1;
snapshot.messages.push({
id: `media-message-${seq}`,
threadId: snapshot.threadId,
seq,
role: "bot",
botId,
blocks: [block()],
createdAt: new Date().toISOString(),
});
};
for (const procedure of ["bootstrap", "threads/get"]) {
await page.route(`**/rpc/${procedure}`, async (route) => {
const fetched = await fetchRpcEnvelope(route);
const json = fetched.body.json as (Snapshot & { thread?: Snapshot }) | undefined;
seed(procedure === "bootstrap" ? json?.thread : json);
// Fresh headers: the original content length no longer matches the patched body.
await route.fulfill({
status: fetched.status,
contentType: "application/json",
body: JSON.stringify(fetched.body),
});
});
}
}
test("renders a media job card while it runs and when it is done", async ({ page }, testInfo) => {
const stamp = Date.now();
await signup(page, `media-card-${stamp}@rakazo.test`, "password12", "Media Card");
await completeOnboarding(page);
const botId = activeBotId(page);
const still = await rpc<{ id: string; size: number }>(page, "artifacts/create", {
botId,
name: "still.png",
mimeType: "image/png",
contentBase64: await stillPngBase64(page),
});
const voice = await rpc<{ id: string; size: number }>(page, "artifacts/create", {
botId,
name: "voice-note.wav",
mimeType: "audio/wav",
contentBase64: toneWavBase64(),
});
let state: "running" | "done" = "running";
await seedMediaMessage(page, botId, () =>
state === "running"
? {
kind: "media",
jobId: "media-job-1",
operation: "edit_video",
status: "running",
title: "Cut the pauses and reframe for 9:16",
progress: 0.4,
outputs: [],
}
: {
kind: "media",
jobId: "media-job-1",
operation: "edit_video",
status: "done",
title: "Cut the pauses and reframe for 9:16",
outputs: [
{
artifactId: still.id,
kind: "image",
mimeType: "image/png",
name: "still.png",
size: still.size,
width: 320,
height: 180,
},
{
artifactId: voice.id,
kind: "audio",
mimeType: "audio/wav",
name: "voice-note.wav",
size: voice.size,
durationMs: 1000,
},
],
},
);
// CI has no transcription server; the card asks what the space can run.
await page.route("**/rpc/media/capabilities", (route) =>
route.fulfill({
contentType: "application/json",
body: JSON.stringify({
json: {
generate_image: false,
generate_video: false,
edit_image: false,
edit_video: false,
export_video: true,
transcribe: true,
},
}),
}),
);
const started: unknown[] = [];
await page.route("**/rpc/media/jobs/start", async (route) => {
started.push((route.request().postDataJSON() as { json: unknown }).json);
await route.fulfill({
contentType: "application/json",
body: JSON.stringify({ json: { jobId: "media-job-2", messageId: "media-message-next" } }),
});
});
await page.reload();
const card = page.getByTestId("media-card");
await expect(card).toBeVisible({ timeout: 30_000 });
await expect(card).toHaveAttribute("data-status", "running");
await expect(card).toContainText("Cut the pauses and reframe for 9:16");
await expect(card).toContainText("Working…");
await expect(card.getByRole("progressbar")).toHaveAttribute("aria-valuenow", "40");
await captureScreenshot(page, testInfo, "media-card-running");
state = "done";
await page.reload();
await expect(card).toHaveAttribute("data-status", "done", { timeout: 30_000 });
await expect(card).toContainText("Done");
await expect(card.getByRole("progressbar")).toHaveCount(0);
await expect(card.getByRole("img", { name: "still.png" })).toBeVisible();
await expect(card.locator("audio")).toHaveCount(1);
await expect(card.getByRole("link", { name: "Download voice-note.wav" })).toHaveAttribute(
"download",
"voice-note.wav",
);
await expect(card.getByRole("button", { name: "Transcribe" })).toBeVisible();
// Export applies to video only.
await expect(card.getByRole("button", { name: "Export" })).toHaveCount(0);
await captureScreenshot(page, testInfo, "media-card-done");
await card.getByRole("button", { name: "Transcribe" }).click();
await expect.poll(() => started.length).toBe(1);
expect(started[0]).toEqual({
botId,
messageId: expect.stringMatching(/^media-message-\d+$/),
operation: "transcribe",
input: { artifact_id: voice.id, title: "voice-note.wav" },
});
});
test("shows a finished video analysis as a done card without files", async ({ page }, testInfo) => {
const stamp = Date.now();
await signup(page, `media-analysis-${stamp}@rakazo.test`, "password12", "Media Analysis");
await completeOnboarding(page);
const botId = activeBotId(page);
// The cut points go to the bot only; the card just tells the user the analysis ran.
await seedMediaMessage(page, botId, () => ({
kind: "media",
jobId: "media-job-analysis",
operation: "analyze_video",
status: "done",
title: "Find the cut points",
progress: 1,
outputs: [],
}));
await page.reload();
const card = page.getByTestId("media-card");
await expect(card).toBeVisible({ timeout: 30_000 });
await expect(card).toHaveAttribute("data-status", "done");
await expect(card).toContainText("Find the cut points");
await expect(card).toContainText("Done");
await expect(card.getByRole("button")).toHaveCount(0);
await expect(card.getByRole("link")).toHaveCount(0);
await captureScreenshot(page, testInfo, "media-card-analysis");
});