f3e21c6b98
Accumulated uncommitted work: GHOST Web backend, WebGL/GPU web layer, web workflow engine and protocol, tooling, docs and task records. Large generated evidence, user-testing archives, build snapshots and imported test assets remain untracked. Co-Authored-By: Claude Code <noreply@anthropic.com>
47 lines
2.9 KiB
TypeScript
47 lines
2.9 KiB
TypeScript
import fs from "node:fs";
|
|
import path from "node:path";
|
|
import { test, expect } from "@playwright/test";
|
|
import { NativeUIWorkflow, observeNative } from "../fixtures/native-ui-workflow";
|
|
|
|
const root = path.resolve(import.meta.dirname, "../../..");
|
|
const cases: Array<[string, string, string]> = [
|
|
["blender-5.2.0/tests/files/sequence_editing/effects/fx_comp.blend", "fx_comp", "unpacked-missing-image"],
|
|
["tests/files/web/corrupt_packed_image.blend", "corrupt_packed_image", "packed-relative-image"],
|
|
["tests/files/web/basic_scene.blend", "basic_scene", "no-external-image"],
|
|
];
|
|
|
|
test("probe undo after edit across fixtures with reliable open wait", async ({ page }, testInfo) => {
|
|
test.setTimeout(240_000);
|
|
await observeNative(page);
|
|
await page.goto("/");
|
|
const results: Record<string, unknown> = {};
|
|
for (const [rel, project, tag] of cases) {
|
|
try {
|
|
await page.getByTestId("blend-file-input").setInputFiles(path.join(root, rel));
|
|
await expect.poll(async () => page.locator("main.blender-app").evaluate((n) => (n as HTMLElement).dataset.projectId), { timeout: 60000 }).toBe(project);
|
|
await expect(page.getByTestId("engine-status")).toContainText("SceneIR", { timeout: 60000 });
|
|
const out = await page.evaluate(async () => {
|
|
const worker = (window as any).__nativeWorkflowEngine as Worker;
|
|
const send = (command: any) => new Promise<any>((resolve, reject) => {
|
|
const requestId = `x-${crypto.randomUUID()}`;
|
|
const receive = (event: MessageEvent) => {
|
|
if (event.data?.requestId !== requestId || event.data?.kind !== 'result') return;
|
|
worker.removeEventListener('message', receive);
|
|
if (event.data.ok) resolve(event.data.result); else reject(new Error(`${event.data.error?.code}: ${event.data.error?.message}`));
|
|
};
|
|
worker.addEventListener('message', receive); worker.postMessage({ requestId, command });
|
|
});
|
|
const py = (source: string) => send({ type: 'jsonCommand', cmd: 'pythonExec', params: { source, filename: 'X.py', console: false } });
|
|
const log: any = {};
|
|
log.state = String((await py("import bpy\nprint('SCENE', bpy.context.scene.name, 'FP', repr(bpy.data.filepath), 'IMGS', [(i.name, i.source, i.filepath, i.packed_file is not None, list(i.size)) for i in bpy.data.images])")).json?.output ?? '').trim().slice(0, 320);
|
|
await py("import bpy\nbpy.context.scene['probe_marker']='m1'");
|
|
try { const u = await send({ type: 'applyCommand', payload: { type: 'undo' } }); log.undo = `ok rev ${u.snapshot?.revision}`; }
|
|
catch (e: any) { log.undo = String(e?.message ?? e).slice(0, 90); }
|
|
return log;
|
|
});
|
|
results[tag] = out;
|
|
} catch (error: any) { results[tag] = `OPEN_FAILED: ${String(error?.message ?? error).slice(0, 140)}`; }
|
|
}
|
|
fs.writeFileSync("/tmp/undo-image-matrix.json", JSON.stringify(results, null, 2));
|
|
});
|