mirror of
https://github.com/snapotter-hq/SnapOtter.git
synced 2026-08-03 07:46:42 +02:00
466 lines
19 KiB
TypeScript
466 lines
19 KiB
TypeScript
import { readFileSync } from "node:fs";
|
|
import { join } from "node:path";
|
|
import { expect, test } from "@playwright/test";
|
|
|
|
// ─── Batch Extended ──────────────────────────────────────────────
|
|
// Extended batch processing tests covering tool categories not yet
|
|
// exercised in batch-workflows.spec.ts: color-blindness, edit-metadata,
|
|
// favicon, beautify, vectorize, replace-color (5+ images), and
|
|
// cross-format batch operations.
|
|
|
|
const FIXTURES = join(process.cwd(), "tests", "fixtures");
|
|
const FORMATS = join(FIXTURES, "formats");
|
|
const CONTENT = join(FIXTURES, "content");
|
|
|
|
let token: string;
|
|
|
|
test.beforeAll(async ({ request }) => {
|
|
const res = await request.post("/api/auth/login", {
|
|
data: { username: "admin", password: "admin" },
|
|
});
|
|
const body = await res.json();
|
|
token = body.token;
|
|
});
|
|
|
|
function fixture(name: string): Buffer {
|
|
return readFileSync(join(FIXTURES, name));
|
|
}
|
|
|
|
function formatFixture(name: string): Buffer {
|
|
return readFileSync(join(FORMATS, name));
|
|
}
|
|
|
|
function contentFixture(name: string): Buffer {
|
|
return readFileSync(join(CONTENT, name));
|
|
}
|
|
|
|
function buildMultipart(
|
|
files: Array<{ name: string; filename: string; contentType: string; buffer: Buffer }>,
|
|
fields: Array<{ name: string; value: string }>,
|
|
): { body: Buffer; contentType: string } {
|
|
const boundary = `----PlaywrightBoundary${Date.now()}`;
|
|
const parts: Buffer[] = [];
|
|
for (const file of files) {
|
|
parts.push(
|
|
Buffer.from(
|
|
`--${boundary}\r\nContent-Disposition: form-data; name="${file.name}"; filename="${file.filename}"\r\nContent-Type: ${file.contentType}\r\n\r\n`,
|
|
),
|
|
);
|
|
parts.push(file.buffer);
|
|
parts.push(Buffer.from("\r\n"));
|
|
}
|
|
for (const field of fields) {
|
|
parts.push(
|
|
Buffer.from(
|
|
`--${boundary}\r\nContent-Disposition: form-data; name="${field.name}"\r\n\r\n${field.value}\r\n`,
|
|
),
|
|
);
|
|
}
|
|
parts.push(Buffer.from(`--${boundary}--\r\n`));
|
|
return {
|
|
body: Buffer.concat(parts),
|
|
contentType: `multipart/form-data; boundary=${boundary}`,
|
|
};
|
|
}
|
|
|
|
async function expectBatchSuccess(res: import("@playwright/test").APIResponse): Promise<void> {
|
|
expect(res.ok()).toBe(true);
|
|
const resContentType = res.headers()["content-type"] ?? "";
|
|
if (resContentType.includes("application/json")) {
|
|
const json = await res.json();
|
|
expect(json.downloadUrl).toBeTruthy();
|
|
} else {
|
|
const buffer = Buffer.from(await res.body());
|
|
expect(buffer.length).toBeGreaterThan(0);
|
|
expect(buffer[0]).toBe(0x50); // 'P'
|
|
expect(buffer[1]).toBe(0x4b); // 'K'
|
|
}
|
|
}
|
|
|
|
const PNG_200x150 = fixture("test-200x150.png");
|
|
const JPG_100x100 = fixture("test-100x100.jpg");
|
|
const WEBP_50x50 = fixture("test-50x50.webp");
|
|
const HEIC_200x150 = fixture("test-200x150.heic");
|
|
const JPG_SAMPLE = formatFixture("sample.jpg");
|
|
|
|
// ─── Batch Color Blindness Simulation ────────────────────────────
|
|
|
|
test.describe("Batch color-blindness simulation", () => {
|
|
test("simulate deuteranomaly on 5 mixed-format images", async ({ request }) => {
|
|
const avifSample = formatFixture("sample.avif");
|
|
const { body: reqBody, contentType } = buildMultipart(
|
|
[
|
|
{ name: "file", filename: "a.png", contentType: "image/png", buffer: PNG_200x150 },
|
|
{ name: "file", filename: "b.jpg", contentType: "image/jpeg", buffer: JPG_100x100 },
|
|
{ name: "file", filename: "c.webp", contentType: "image/webp", buffer: WEBP_50x50 },
|
|
{ name: "file", filename: "d.heic", contentType: "image/heic", buffer: HEIC_200x150 },
|
|
{ name: "file", filename: "e.avif", contentType: "image/avif", buffer: avifSample },
|
|
],
|
|
[{ name: "settings", value: JSON.stringify({ simulationType: "deuteranomaly" }) }],
|
|
);
|
|
const res = await request.post("/api/v1/tools/image/color-blindness/batch", {
|
|
headers: { Authorization: `Bearer ${token}`, "Content-Type": contentType },
|
|
data: reqBody,
|
|
});
|
|
await expectBatchSuccess(res);
|
|
});
|
|
|
|
test("simulate protanopia on 3 images", async ({ request }) => {
|
|
const { body: reqBody, contentType } = buildMultipart(
|
|
[
|
|
{ name: "file", filename: "a.png", contentType: "image/png", buffer: PNG_200x150 },
|
|
{ name: "file", filename: "b.jpg", contentType: "image/jpeg", buffer: JPG_SAMPLE },
|
|
{ name: "file", filename: "c.heic", contentType: "image/heic", buffer: HEIC_200x150 },
|
|
],
|
|
[{ name: "settings", value: JSON.stringify({ simulationType: "protanopia" }) }],
|
|
);
|
|
const res = await request.post("/api/v1/tools/image/color-blindness/batch", {
|
|
headers: { Authorization: `Bearer ${token}`, "Content-Type": contentType },
|
|
data: reqBody,
|
|
});
|
|
await expectBatchSuccess(res);
|
|
});
|
|
});
|
|
|
|
// ─── Batch Edit Metadata ─────────────────────────────────────────
|
|
|
|
test.describe("Batch edit-metadata", () => {
|
|
test("set artist on 5 images", async ({ request }) => {
|
|
const tiffSample = formatFixture("sample.tiff");
|
|
const { body: reqBody, contentType } = buildMultipart(
|
|
[
|
|
{ name: "file", filename: "a.jpg", contentType: "image/jpeg", buffer: JPG_100x100 },
|
|
{ name: "file", filename: "b.png", contentType: "image/png", buffer: PNG_200x150 },
|
|
{ name: "file", filename: "c.webp", contentType: "image/webp", buffer: WEBP_50x50 },
|
|
{ name: "file", filename: "d.jpg", contentType: "image/jpeg", buffer: JPG_SAMPLE },
|
|
{ name: "file", filename: "e.tiff", contentType: "image/tiff", buffer: tiffSample },
|
|
],
|
|
[
|
|
{
|
|
name: "settings",
|
|
value: JSON.stringify({
|
|
artist: "Batch E2E Author",
|
|
copyright: "CC0-1.0",
|
|
}),
|
|
},
|
|
],
|
|
);
|
|
const res = await request.post("/api/v1/tools/image/edit-metadata/batch", {
|
|
headers: { Authorization: `Bearer ${token}`, "Content-Type": contentType },
|
|
data: reqBody,
|
|
});
|
|
await expectBatchSuccess(res);
|
|
});
|
|
});
|
|
|
|
// ─── Batch Beautify ──────────────────────────────────────────────
|
|
|
|
test.describe("Batch beautify", () => {
|
|
test("beautify 4 screenshots with macOS frame", async ({ request }) => {
|
|
const { body: reqBody, contentType } = buildMultipart(
|
|
[
|
|
{ name: "file", filename: "a.png", contentType: "image/png", buffer: PNG_200x150 },
|
|
{ name: "file", filename: "b.jpg", contentType: "image/jpeg", buffer: JPG_100x100 },
|
|
{ name: "file", filename: "c.webp", contentType: "image/webp", buffer: WEBP_50x50 },
|
|
{ name: "file", filename: "d.jpg", contentType: "image/jpeg", buffer: JPG_SAMPLE },
|
|
],
|
|
[
|
|
{
|
|
name: "settings",
|
|
value: JSON.stringify({
|
|
frame: "macos-dark",
|
|
padding: 48,
|
|
borderRadius: 8,
|
|
shadowPreset: "subtle",
|
|
}),
|
|
},
|
|
],
|
|
);
|
|
const res = await request.post("/api/v1/tools/image/beautify/batch", {
|
|
headers: { Authorization: `Bearer ${token}`, "Content-Type": contentType },
|
|
data: reqBody,
|
|
});
|
|
await expectBatchSuccess(res);
|
|
});
|
|
|
|
test("beautify 3 images with gradient background", async ({ request }) => {
|
|
const { body: reqBody, contentType } = buildMultipart(
|
|
[
|
|
{ name: "file", filename: "a.png", contentType: "image/png", buffer: PNG_200x150 },
|
|
{ name: "file", filename: "b.heic", contentType: "image/heic", buffer: HEIC_200x150 },
|
|
{ name: "file", filename: "c.jpg", contentType: "image/jpeg", buffer: JPG_SAMPLE },
|
|
],
|
|
[
|
|
{
|
|
name: "settings",
|
|
value: JSON.stringify({
|
|
backgroundType: "linear-gradient",
|
|
gradientStops: [
|
|
{ color: "#667eea", position: 0 },
|
|
{ color: "#764ba2", position: 100 },
|
|
],
|
|
gradientAngle: 135,
|
|
padding: 64,
|
|
}),
|
|
},
|
|
],
|
|
);
|
|
const res = await request.post("/api/v1/tools/image/beautify/batch", {
|
|
headers: { Authorization: `Bearer ${token}`, "Content-Type": contentType },
|
|
data: reqBody,
|
|
});
|
|
await expectBatchSuccess(res);
|
|
});
|
|
});
|
|
|
|
// ─── Batch Vectorize ─────────────────────────────────────────────
|
|
|
|
test.describe("Batch vectorize", () => {
|
|
test("vectorize 3 images to SVG", async ({ request }) => {
|
|
const { body: reqBody, contentType } = buildMultipart(
|
|
[
|
|
{ name: "file", filename: "a.png", contentType: "image/png", buffer: PNG_200x150 },
|
|
{ name: "file", filename: "b.jpg", contentType: "image/jpeg", buffer: JPG_100x100 },
|
|
{ name: "file", filename: "c.webp", contentType: "image/webp", buffer: WEBP_50x50 },
|
|
],
|
|
[{ name: "settings", value: JSON.stringify({}) }],
|
|
);
|
|
const res = await request.post("/api/v1/tools/image/vectorize/batch", {
|
|
headers: { Authorization: `Bearer ${token}`, "Content-Type": contentType },
|
|
data: reqBody,
|
|
});
|
|
await expectBatchSuccess(res);
|
|
});
|
|
});
|
|
|
|
// ─── Batch Replace Color (5+ images) ────────────────────────────
|
|
|
|
test.describe("Batch replace-color (5+ images)", () => {
|
|
test("replace white with blue in 6 mixed-format images", async ({ request }) => {
|
|
const portrait = contentFixture("portrait-color.jpg");
|
|
const tiffSample = formatFixture("sample.tiff");
|
|
const { body: reqBody, contentType } = buildMultipart(
|
|
[
|
|
{ name: "file", filename: "a.png", contentType: "image/png", buffer: PNG_200x150 },
|
|
{ name: "file", filename: "b.jpg", contentType: "image/jpeg", buffer: JPG_100x100 },
|
|
{ name: "file", filename: "c.webp", contentType: "image/webp", buffer: WEBP_50x50 },
|
|
{ name: "file", filename: "d.heic", contentType: "image/heic", buffer: HEIC_200x150 },
|
|
{ name: "file", filename: "e.jpg", contentType: "image/jpeg", buffer: portrait },
|
|
{ name: "file", filename: "f.tiff", contentType: "image/tiff", buffer: tiffSample },
|
|
],
|
|
[
|
|
{
|
|
name: "settings",
|
|
value: JSON.stringify({
|
|
targetColor: "#FFFFFF",
|
|
replacementColor: "#3366FF",
|
|
tolerance: 25,
|
|
}),
|
|
},
|
|
],
|
|
);
|
|
const res = await request.post("/api/v1/tools/image/replace-color/batch", {
|
|
headers: { Authorization: `Bearer ${token}`, "Content-Type": contentType },
|
|
data: reqBody,
|
|
});
|
|
await expectBatchSuccess(res);
|
|
});
|
|
});
|
|
|
|
// ─── Batch Favicon ───────────────────────────────────────────────
|
|
|
|
test.describe("Batch favicon", () => {
|
|
test("generate favicons from 4 images", async ({ request }) => {
|
|
const { body: reqBody, contentType } = buildMultipart(
|
|
[
|
|
{ name: "file", filename: "a.png", contentType: "image/png", buffer: PNG_200x150 },
|
|
{ name: "file", filename: "b.jpg", contentType: "image/jpeg", buffer: JPG_100x100 },
|
|
{ name: "file", filename: "c.webp", contentType: "image/webp", buffer: WEBP_50x50 },
|
|
{ name: "file", filename: "d.heic", contentType: "image/heic", buffer: HEIC_200x150 },
|
|
],
|
|
[{ name: "settings", value: JSON.stringify({}) }],
|
|
);
|
|
const res = await request.post("/api/v1/tools/image/favicon/batch", {
|
|
headers: { Authorization: `Bearer ${token}`, "Content-Type": contentType },
|
|
data: reqBody,
|
|
});
|
|
// Favicon batch may not be registered
|
|
if (res.status() === 404) {
|
|
const json = await res.json();
|
|
expect(json.error).toBeDefined();
|
|
return;
|
|
}
|
|
await expectBatchSuccess(res);
|
|
});
|
|
});
|
|
|
|
// ─── Batch Image Enhancement (5+ images) ─────────────────────────
|
|
|
|
test.describe("Batch image-enhancement (5+ images)", () => {
|
|
test("enhance 6 images with auto preset", async ({ request }) => {
|
|
const portrait = contentFixture("portrait-color.jpg");
|
|
const avifSample = formatFixture("sample.avif");
|
|
const { body: reqBody, contentType } = buildMultipart(
|
|
[
|
|
{ name: "file", filename: "a.png", contentType: "image/png", buffer: PNG_200x150 },
|
|
{ name: "file", filename: "b.jpg", contentType: "image/jpeg", buffer: JPG_100x100 },
|
|
{ name: "file", filename: "c.webp", contentType: "image/webp", buffer: WEBP_50x50 },
|
|
{ name: "file", filename: "d.heic", contentType: "image/heic", buffer: HEIC_200x150 },
|
|
{ name: "file", filename: "e.jpg", contentType: "image/jpeg", buffer: portrait },
|
|
{ name: "file", filename: "f.avif", contentType: "image/avif", buffer: avifSample },
|
|
],
|
|
[{ name: "settings", value: JSON.stringify({ preset: "auto" }) }],
|
|
);
|
|
const res = await request.post("/api/v1/tools/image/image-enhancement/batch", {
|
|
headers: { Authorization: `Bearer ${token}`, "Content-Type": contentType },
|
|
data: reqBody,
|
|
});
|
|
await expectBatchSuccess(res);
|
|
});
|
|
});
|
|
|
|
// ─── Batch SVG-to-Raster ─────────────────────────────────────────
|
|
|
|
test.describe("Batch svg-to-raster", () => {
|
|
test("rasterize 3 SVGs to PNG", async ({ request }) => {
|
|
const svg100 = fixture("test-100x100.svg");
|
|
const svgLogo = contentFixture("svg-logo.svg");
|
|
const svgSample = formatFixture("sample.svg");
|
|
const { body: reqBody, contentType } = buildMultipart(
|
|
[
|
|
{ name: "file", filename: "a.svg", contentType: "image/svg+xml", buffer: svg100 },
|
|
{ name: "file", filename: "b.svg", contentType: "image/svg+xml", buffer: svgLogo },
|
|
{ name: "file", filename: "c.svg", contentType: "image/svg+xml", buffer: svgSample },
|
|
],
|
|
[{ name: "settings", value: JSON.stringify({ format: "png", width: 256 }) }],
|
|
);
|
|
const res = await request.post("/api/v1/tools/image/svg-to-raster/batch", {
|
|
headers: { Authorization: `Bearer ${token}`, "Content-Type": contentType },
|
|
data: reqBody,
|
|
});
|
|
await expectBatchSuccess(res);
|
|
});
|
|
});
|
|
|
|
// ─── Batch Convert HEIC to Multiple Formats ──────────────────────
|
|
|
|
test.describe("Batch convert HEIC to web formats", () => {
|
|
test("convert 5 HEIC images to JPEG", async ({ request }) => {
|
|
const heicSample = formatFixture("sample.heic");
|
|
const { body: reqBody, contentType } = buildMultipart(
|
|
[
|
|
{ name: "file", filename: "a.heic", contentType: "image/heic", buffer: HEIC_200x150 },
|
|
{ name: "file", filename: "b.heic", contentType: "image/heic", buffer: heicSample },
|
|
{ name: "file", filename: "c.heic", contentType: "image/heic", buffer: HEIC_200x150 },
|
|
{ name: "file", filename: "d.heic", contentType: "image/heic", buffer: heicSample },
|
|
{ name: "file", filename: "e.heic", contentType: "image/heic", buffer: HEIC_200x150 },
|
|
],
|
|
[{ name: "settings", value: JSON.stringify({ format: "jpg", quality: 85 }) }],
|
|
);
|
|
const res = await request.post("/api/v1/tools/image/convert/batch", {
|
|
headers: { Authorization: `Bearer ${token}`, "Content-Type": contentType },
|
|
data: reqBody,
|
|
});
|
|
await expectBatchSuccess(res);
|
|
});
|
|
});
|
|
|
|
// ─── Batch Meme Generator ────────────────────────────────────────
|
|
|
|
test.describe("Batch meme-generator", () => {
|
|
test("meme 3 images with top-bottom text", async ({ request }) => {
|
|
const { body: reqBody, contentType } = buildMultipart(
|
|
[
|
|
{ name: "file", filename: "a.png", contentType: "image/png", buffer: PNG_200x150 },
|
|
{ name: "file", filename: "b.jpg", contentType: "image/jpeg", buffer: JPG_100x100 },
|
|
{ name: "file", filename: "c.jpg", contentType: "image/jpeg", buffer: JPG_SAMPLE },
|
|
],
|
|
[
|
|
{
|
|
name: "settings",
|
|
value: JSON.stringify({
|
|
textLayout: "top-bottom",
|
|
textBoxes: [
|
|
{ id: "top", text: "BATCH MEME" },
|
|
{ id: "bottom", text: "TESTING" },
|
|
],
|
|
}),
|
|
},
|
|
],
|
|
);
|
|
const res = await request.post("/api/v1/tools/image/meme-generator/batch", {
|
|
headers: { Authorization: `Bearer ${token}`, "Content-Type": contentType },
|
|
data: reqBody,
|
|
});
|
|
// meme-generator batch may not be registered
|
|
if (res.status() === 404) {
|
|
const json = await res.json();
|
|
expect(json.error).toBeDefined();
|
|
return;
|
|
}
|
|
await expectBatchSuccess(res);
|
|
});
|
|
});
|
|
|
|
// ─── Batch Resize with Large Set (8 images) ──────────────────────
|
|
|
|
test.describe("Batch resize large set", () => {
|
|
test("resize 8 mixed-format images to thumbnail", async ({ request }) => {
|
|
const avifSample = formatFixture("sample.avif");
|
|
const tiffSample = formatFixture("sample.tiff");
|
|
const portrait = contentFixture("portrait-color.jpg");
|
|
const { body: reqBody, contentType } = buildMultipart(
|
|
[
|
|
{ name: "file", filename: "a.png", contentType: "image/png", buffer: PNG_200x150 },
|
|
{ name: "file", filename: "b.jpg", contentType: "image/jpeg", buffer: JPG_100x100 },
|
|
{ name: "file", filename: "c.webp", contentType: "image/webp", buffer: WEBP_50x50 },
|
|
{ name: "file", filename: "d.heic", contentType: "image/heic", buffer: HEIC_200x150 },
|
|
{ name: "file", filename: "e.avif", contentType: "image/avif", buffer: avifSample },
|
|
{ name: "file", filename: "f.tiff", contentType: "image/tiff", buffer: tiffSample },
|
|
{ name: "file", filename: "g.jpg", contentType: "image/jpeg", buffer: portrait },
|
|
{ name: "file", filename: "h.jpg", contentType: "image/jpeg", buffer: JPG_SAMPLE },
|
|
],
|
|
[{ name: "settings", value: JSON.stringify({ width: 64, height: 64, fit: "cover" }) }],
|
|
);
|
|
const res = await request.post("/api/v1/tools/image/resize/batch", {
|
|
headers: { Authorization: `Bearer ${token}`, "Content-Type": contentType },
|
|
data: reqBody,
|
|
});
|
|
await expectBatchSuccess(res);
|
|
});
|
|
});
|
|
|
|
// ─── Auth Failure ────────────────────────────────────────────────
|
|
|
|
test.describe("Auth failure", () => {
|
|
test("batch resize without token returns 401", async ({ request }) => {
|
|
const { body: reqBody, contentType } = buildMultipart(
|
|
[
|
|
{ name: "file", filename: "a.png", contentType: "image/png", buffer: PNG_200x150 },
|
|
{ name: "file", filename: "b.jpg", contentType: "image/jpeg", buffer: JPG_100x100 },
|
|
],
|
|
[{ name: "settings", value: JSON.stringify({ width: 100, fit: "contain" }) }],
|
|
);
|
|
const res = await request.post("/api/v1/tools/image/resize/batch", {
|
|
headers: { "Content-Type": contentType },
|
|
data: reqBody,
|
|
});
|
|
expect(res.status()).toBe(401);
|
|
});
|
|
|
|
test("batch convert without token returns 401", async ({ request }) => {
|
|
const { body: reqBody, contentType } = buildMultipart(
|
|
[
|
|
{ name: "file", filename: "a.png", contentType: "image/png", buffer: PNG_200x150 },
|
|
{ name: "file", filename: "b.jpg", contentType: "image/jpeg", buffer: JPG_100x100 },
|
|
],
|
|
[{ name: "settings", value: JSON.stringify({ format: "webp" }) }],
|
|
);
|
|
const res = await request.post("/api/v1/tools/image/convert/batch", {
|
|
headers: { "Content-Type": contentType },
|
|
data: reqBody,
|
|
});
|
|
expect(res.status()).toBe(401);
|
|
});
|
|
});
|