mirror of
https://github.com/snapotter-hq/SnapOtter.git
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SnapOtterandGitHub
d10d0f544f
A release-readiness QA pass over the whole product. The commits split into defects a user would hit and gates that were reporting green while measuring nothing. ## Fixes that change behaviour Rate limiting was bypassable on every install: TRUST_PROXY defaulted to true, so request.ip came from a client-set header and a forged X-Forwarded-For got past the login limiter. The default is now a private-network trust list. A transient Postgres outage stranded in-flight jobs, leaving finished output on disk with no row pointing at it. A reconciler now resolves those rows and adopts the bytes rather than dropping the work. A Redis connection that moved to a new address wedged every read-blocked consumer, so completions stopped signalling while health still answered 200. Socket timeouts plus subscriber pings recover it. Installing more than one AI bundle left the shared venv multi-versioned and silently broke three tools. The installer now reconciles distributions to one version each. Converting an image to JXL at quality 1 through 4 returned a 500, because libjxl 0.7 rejects the distance those values compute. The quality is floored at what the encoder honours. A missing ffmpeg was also reported to the user as a corrupt upload; it now says the engine is unavailable. RAW uploads reached an unpatched LibRaw on arm64, so it is built from source at 0.22.2, and the release scan was split so it can fail on an unfixed critical instead of hiding it behind ignore-unfixed. ## Gates that could not fail Two mutation lanes ran zero mutants because Stryker crawled the gitignored docs build; coverage discarded its whole report on any failing test; the lint gate skipped root tests, scripts, and two workspaces; and several generated matrices counted a host missing ffmpeg as a passing tool. Each now measures what it claims. Full evidence and the outstanding release items are tracked locally and are not part of this branch.
678 lines
26 KiB
TypeScript
678 lines
26 KiB
TypeScript
import { readFileSync } from "node:fs";
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import { join } from "node:path";
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import { expect, test } from "@playwright/test";
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// ─── Pipeline Advanced ────────────────────────────────────────────
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// Multi-step pipeline chain tests with 3+ steps. Covers complex
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// real-world workflows, duplicate steps, format changes mid-chain,
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// and deep pipelines (5+ steps).
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const FIXTURES = join(process.cwd(), "tests", "fixtures", "image", "valid");
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const FORMATS = join(process.cwd(), "tests", "fixtures", "image", "formats");
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let token: string;
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test.beforeAll(async ({ request }) => {
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const res = await request.post("/api/auth/login", {
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data: { username: "admin", password: "admin" },
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});
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const body = await res.json();
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token = body.token;
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});
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function fixture(name: string): Buffer {
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return readFileSync(join(FIXTURES, name));
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}
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function formatFixture(name: string): Buffer {
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return readFileSync(join(FORMATS, name));
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}
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const PNG_200x150 = fixture("test-200x150.png");
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const JPG_100x100 = fixture("test-100x100.jpg");
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const HEIC_200x150 = fixture("test-200x150.heic");
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const JPG_SAMPLE = formatFixture("sample.jpg");
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const JPG_WITH_EXIF = fixture("test-with-exif.jpg");
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const WEBP_50x50 = fixture("test-50x50.webp");
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// ─── 3-Step: Resize -> Compress -> Convert (JPEG to WebP) ────────
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test.describe("3-step: resize -> compress -> convert", () => {
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test("resize, compress, then convert JPEG to WebP", async ({ request }) => {
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const res = await request.post("/api/v1/pipeline/execute", {
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headers: { Authorization: `Bearer ${token}` },
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multipart: {
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file: { name: "sample.jpg", mimeType: "image/jpeg", buffer: JPG_SAMPLE },
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pipeline: JSON.stringify({
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steps: [
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{ toolId: "resize", settings: { width: 640, fit: "contain" } },
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{ toolId: "compress", settings: { quality: 60 } },
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{ toolId: "convert", settings: { format: "webp" } },
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],
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}),
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},
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});
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expect(res.ok()).toBe(true);
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const body = await res.json();
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expect(body.downloadUrl).toBeTruthy();
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expect(body.downloadUrl).toContain(".webp");
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expect(body.processedSize).toBeGreaterThan(0);
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expect(body.processedSize).toBeLessThan(body.originalSize);
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});
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test("resize, compress, then convert PNG to AVIF", async ({ request }) => {
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const res = await request.post("/api/v1/pipeline/execute", {
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headers: { Authorization: `Bearer ${token}` },
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multipart: {
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file: { name: "test.png", mimeType: "image/png", buffer: PNG_200x150 },
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pipeline: JSON.stringify({
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steps: [
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{ toolId: "resize", settings: { width: 100, fit: "contain" } },
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{ toolId: "compress", settings: { quality: 50 } },
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{ toolId: "convert", settings: { format: "avif" } },
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],
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}),
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},
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});
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expect(res.ok()).toBe(true);
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const body = await res.json();
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expect(body.downloadUrl).toBeTruthy();
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expect(body.downloadUrl).toContain(".avif");
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});
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});
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// ─── 4-Step: Rotate -> Resize -> Sharpening -> Compress ──────────
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test.describe("4-step: rotate -> resize -> sharpening -> compress", () => {
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test("full 4-step image preparation pipeline", async ({ request }) => {
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const res = await request.post("/api/v1/pipeline/execute", {
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headers: { Authorization: `Bearer ${token}` },
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multipart: {
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file: { name: "sample.jpg", mimeType: "image/jpeg", buffer: JPG_SAMPLE },
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pipeline: JSON.stringify({
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steps: [
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{ toolId: "rotate", settings: { angle: 90 } },
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{ toolId: "resize", settings: { width: 500, fit: "contain" } },
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{ toolId: "sharpening", settings: { sigma: 1.5 } },
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{ toolId: "compress", settings: { quality: 70 } },
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],
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}),
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},
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});
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expect(res.ok()).toBe(true);
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const body = await res.json();
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expect(body.downloadUrl).toBeTruthy();
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expect(body.processedSize).toBeGreaterThan(0);
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});
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test("rotate 180 -> resize -> sharpen -> compress on PNG", async ({ request }) => {
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const res = await request.post("/api/v1/pipeline/execute", {
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headers: { Authorization: `Bearer ${token}` },
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multipart: {
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file: { name: "test.png", mimeType: "image/png", buffer: PNG_200x150 },
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pipeline: JSON.stringify({
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steps: [
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{ toolId: "rotate", settings: { angle: 180 } },
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{ toolId: "resize", settings: { width: 150, height: 100, fit: "fill" } },
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{ toolId: "sharpening", settings: { sigma: 2.0 } },
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{ toolId: "compress", settings: { quality: 80 } },
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],
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}),
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},
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});
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expect(res.ok()).toBe(true);
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const body = await res.json();
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expect(body.downloadUrl).toBeTruthy();
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});
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});
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// ─── 5-Step: Strip Metadata -> Resize -> Adjust Colors -> Compress -> Convert ─
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test.describe("5-step: strip-metadata -> resize -> adjust-colors -> compress -> convert", () => {
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test("full 5-step processing pipeline on JPEG with EXIF", async ({ request }) => {
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const res = await request.post("/api/v1/pipeline/execute", {
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headers: { Authorization: `Bearer ${token}` },
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multipart: {
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file: { name: "photo.jpg", mimeType: "image/jpeg", buffer: JPG_WITH_EXIF },
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pipeline: JSON.stringify({
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steps: [
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{ toolId: "strip-metadata", settings: {} },
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{ toolId: "resize", settings: { width: 800, fit: "contain" } },
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{ toolId: "adjust-colors", settings: { brightness: 10, contrast: 15, saturation: 5 } },
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{ toolId: "compress", settings: { quality: 75 } },
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{ toolId: "convert", settings: { format: "webp" } },
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],
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}),
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},
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});
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expect(res.ok()).toBe(true);
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const body = await res.json();
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expect(body.downloadUrl).toBeTruthy();
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expect(body.downloadUrl).toContain(".webp");
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expect(body.processedSize).toBeGreaterThan(0);
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});
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test("full 5-step pipeline on high-res sample image", async ({ request }) => {
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const res = await request.post("/api/v1/pipeline/execute", {
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headers: { Authorization: `Bearer ${token}` },
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multipart: {
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file: { name: "sample.jpg", mimeType: "image/jpeg", buffer: JPG_SAMPLE },
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pipeline: JSON.stringify({
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steps: [
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{ toolId: "strip-metadata", settings: {} },
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{ toolId: "resize", settings: { width: 1200, fit: "contain" } },
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{ toolId: "adjust-colors", settings: { brightness: -5, contrast: 10 } },
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{ toolId: "compress", settings: { quality: 65 } },
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{ toolId: "convert", settings: { format: "avif" } },
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],
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}),
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},
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});
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expect(res.ok()).toBe(true);
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const body = await res.json();
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expect(body.downloadUrl).toBeTruthy();
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expect(body.downloadUrl).toContain(".avif");
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expect(body.processedSize).toBeLessThan(body.originalSize);
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});
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});
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// ─── Pipeline with Same Step Twice: Resize -> Resize ─────────────
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test.describe("Pipeline with same step twice", () => {
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test("resize 200->100, then resize 100->50 (two sequential resizes)", async ({ request }) => {
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const res = await request.post("/api/v1/pipeline/execute", {
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headers: { Authorization: `Bearer ${token}` },
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multipart: {
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file: { name: "test.png", mimeType: "image/png", buffer: PNG_200x150 },
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pipeline: JSON.stringify({
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steps: [
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{ toolId: "resize", settings: { width: 100, fit: "contain" } },
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{ toolId: "resize", settings: { width: 50, fit: "contain" } },
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],
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}),
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},
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});
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expect(res.ok()).toBe(true);
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const body = await res.json();
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expect(body.downloadUrl).toBeTruthy();
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expect(body.processedSize).toBeGreaterThan(0);
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});
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test("resize with different fits: cover then fill", async ({ request }) => {
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const res = await request.post("/api/v1/pipeline/execute", {
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headers: { Authorization: `Bearer ${token}` },
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multipart: {
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file: { name: "sample.jpg", mimeType: "image/jpeg", buffer: JPG_SAMPLE },
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pipeline: JSON.stringify({
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steps: [
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{ toolId: "resize", settings: { width: 300, height: 300, fit: "cover" } },
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{ toolId: "resize", settings: { width: 200, height: 150, fit: "fill" } },
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],
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}),
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},
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});
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expect(res.ok()).toBe(true);
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const body = await res.json();
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expect(body.downloadUrl).toBeTruthy();
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});
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test("double compress with decreasing quality", async ({ request }) => {
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const res = await request.post("/api/v1/pipeline/execute", {
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headers: { Authorization: `Bearer ${token}` },
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multipart: {
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file: { name: "sample.jpg", mimeType: "image/jpeg", buffer: JPG_SAMPLE },
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pipeline: JSON.stringify({
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steps: [
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{ toolId: "compress", settings: { quality: 80 } },
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{ toolId: "compress", settings: { quality: 30 } },
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],
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}),
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},
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});
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expect(res.ok()).toBe(true);
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const body = await res.json();
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expect(body.downloadUrl).toBeTruthy();
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expect(body.processedSize).toBeLessThan(body.originalSize);
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});
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test("double sharpen with different sigma values", async ({ request }) => {
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const res = await request.post("/api/v1/pipeline/execute", {
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headers: { Authorization: `Bearer ${token}` },
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multipart: {
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file: { name: "test.jpg", mimeType: "image/jpeg", buffer: JPG_100x100 },
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pipeline: JSON.stringify({
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steps: [
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{ toolId: "sharpening", settings: { sigma: 0.5 } },
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{ toolId: "sharpening", settings: { sigma: 2.0 } },
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],
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}),
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},
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});
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expect(res.ok()).toBe(true);
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const body = await res.json();
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expect(body.downloadUrl).toBeTruthy();
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});
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});
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// ─── Pipeline with Format Change Mid-Chain ────────────────────────
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test.describe("Pipeline with format change mid-chain", () => {
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test("convert JPEG to PNG, resize, then convert to WebP", async ({ request }) => {
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const res = await request.post("/api/v1/pipeline/execute", {
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headers: { Authorization: `Bearer ${token}` },
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multipart: {
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file: { name: "sample.jpg", mimeType: "image/jpeg", buffer: JPG_SAMPLE },
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pipeline: JSON.stringify({
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steps: [
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{ toolId: "convert", settings: { format: "png" } },
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{ toolId: "resize", settings: { width: 400, fit: "contain" } },
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{ toolId: "convert", settings: { format: "webp" } },
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],
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}),
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},
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});
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expect(res.ok()).toBe(true);
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const body = await res.json();
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expect(body.downloadUrl).toBeTruthy();
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expect(body.downloadUrl).toContain(".webp");
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});
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test("convert PNG to JPEG, enhance, then convert to AVIF", async ({ request }) => {
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const res = await request.post("/api/v1/pipeline/execute", {
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headers: { Authorization: `Bearer ${token}` },
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multipart: {
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file: { name: "test.png", mimeType: "image/png", buffer: PNG_200x150 },
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pipeline: JSON.stringify({
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steps: [
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{ toolId: "convert", settings: { format: "jpg", quality: 90 } },
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{ toolId: "image-enhancement", settings: { preset: "auto" } },
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{ toolId: "convert", settings: { format: "avif" } },
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],
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}),
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},
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});
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expect(res.ok()).toBe(true);
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const body = await res.json();
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expect(body.downloadUrl).toBeTruthy();
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expect(body.downloadUrl).toContain(".avif");
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});
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test("convert to TIFF mid-chain then back to WebP", async ({ request }) => {
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const res = await request.post("/api/v1/pipeline/execute", {
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headers: { Authorization: `Bearer ${token}` },
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multipart: {
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file: { name: "test.jpg", mimeType: "image/jpeg", buffer: JPG_100x100 },
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pipeline: JSON.stringify({
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steps: [
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{ toolId: "convert", settings: { format: "tiff" } },
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{ toolId: "resize", settings: { width: 80, fit: "contain" } },
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{ toolId: "convert", settings: { format: "webp" } },
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],
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}),
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},
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});
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expect(res.ok()).toBe(true);
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const body = await res.json();
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expect(body.downloadUrl).toBeTruthy();
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expect(body.downloadUrl).toContain(".webp");
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});
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});
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// ─── HEIC Input Through Multi-Step Pipelines ──────────────────────
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test.describe("HEIC input through multi-step pipelines", () => {
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test("HEIC: 3-step resize -> sharpen -> convert to PNG", async ({ request }) => {
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const res = await request.post("/api/v1/pipeline/execute", {
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headers: { Authorization: `Bearer ${token}` },
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multipart: {
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file: { name: "test.heic", mimeType: "image/heic", buffer: HEIC_200x150 },
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pipeline: JSON.stringify({
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steps: [
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{ toolId: "resize", settings: { width: 100, fit: "contain" } },
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{ toolId: "sharpening", settings: { sigma: 1.0 } },
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{ toolId: "convert", settings: { format: "png" } },
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],
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}),
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},
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});
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expect(res.ok()).toBe(true);
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const body = await res.json();
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expect(body.downloadUrl).toBeTruthy();
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expect(body.downloadUrl).toContain(".png");
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});
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test("HEIC: 4-step adjust-colors -> resize -> border -> compress", async ({ request }) => {
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const res = await request.post("/api/v1/pipeline/execute", {
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headers: { Authorization: `Bearer ${token}` },
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multipart: {
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file: { name: "test.heic", mimeType: "image/heic", buffer: HEIC_200x150 },
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pipeline: JSON.stringify({
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steps: [
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{ toolId: "adjust-colors", settings: { brightness: 15, contrast: 10 } },
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{ toolId: "resize", settings: { width: 150, fit: "contain" } },
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{ toolId: "border", settings: { size: 5, color: "#000000" } },
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{ toolId: "compress", settings: { quality: 70 } },
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],
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}),
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},
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});
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expect(res.ok()).toBe(true);
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const body = await res.json();
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expect(body.downloadUrl).toBeTruthy();
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expect(body.processedSize).toBeGreaterThan(0);
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});
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});
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// ─── Deep Pipeline: 6+ Steps ──────────────────────────────────────
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test.describe("Deep pipelines (6+ steps)", () => {
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test("7-step full processing pipeline", async ({ request }) => {
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const res = await request.post("/api/v1/pipeline/execute", {
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headers: { Authorization: `Bearer ${token}` },
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multipart: {
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file: { name: "sample.jpg", mimeType: "image/jpeg", buffer: JPG_SAMPLE },
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pipeline: JSON.stringify({
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steps: [
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{ toolId: "strip-metadata", settings: {} },
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{ toolId: "rotate", settings: { angle: 90 } },
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{ toolId: "resize", settings: { width: 400, fit: "contain" } },
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{ toolId: "adjust-colors", settings: { brightness: 5, contrast: 10, saturation: -5 } },
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{ toolId: "sharpening", settings: { sigma: 1.0 } },
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{
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toolId: "watermark-text",
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settings: {
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text: "DEEP PIPELINE",
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fontSize: 14,
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color: "#808080",
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opacity: 20,
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position: "bottom-right",
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},
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},
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{ toolId: "compress", settings: { quality: 70 } },
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],
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}),
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},
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});
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expect(res.ok()).toBe(true);
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const body = await res.json();
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expect(body.downloadUrl).toBeTruthy();
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expect(body.processedSize).toBeGreaterThan(0);
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expect(body.processedSize).toBeLessThan(body.originalSize);
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});
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test("6-step pipeline with format change at the end", async ({ request }) => {
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const res = await request.post("/api/v1/pipeline/execute", {
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headers: { Authorization: `Bearer ${token}` },
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multipart: {
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file: { name: "photo.jpg", mimeType: "image/jpeg", buffer: JPG_WITH_EXIF },
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pipeline: JSON.stringify({
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steps: [
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{ toolId: "strip-metadata", settings: {} },
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{ toolId: "resize", settings: { width: 600, fit: "contain" } },
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{ toolId: "adjust-colors", settings: { grayscale: true } },
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{ toolId: "sharpening", settings: { sigma: 1.5 } },
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{ toolId: "border", settings: { size: 8, color: "#ffffff" } },
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{ toolId: "convert", settings: { format: "webp" } },
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],
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}),
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},
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});
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expect(res.ok()).toBe(true);
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const body = await res.json();
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expect(body.downloadUrl).toBeTruthy();
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expect(body.downloadUrl).toContain(".webp");
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});
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});
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// ─── Workflow: E-commerce Product Pipeline ────────────────────────
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test.describe("Workflow: e-commerce product pipeline", () => {
|
|
test("crop -> resize -> enhance -> watermark -> compress -> convert", async ({ request }) => {
|
|
const res = await request.post("/api/v1/pipeline/execute", {
|
|
headers: { Authorization: `Bearer ${token}` },
|
|
multipart: {
|
|
file: { name: "sample.jpg", mimeType: "image/jpeg", buffer: JPG_SAMPLE },
|
|
pipeline: JSON.stringify({
|
|
steps: [
|
|
{ toolId: "crop", settings: { left: 50, top: 50, width: 400, height: 350 } },
|
|
{ toolId: "resize", settings: { width: 800, height: 800, fit: "contain" } },
|
|
{ toolId: "image-enhancement", settings: { preset: "vivid" } },
|
|
{
|
|
toolId: "watermark-text",
|
|
settings: {
|
|
text: "SAMPLE",
|
|
fontSize: 20,
|
|
color: "#cccccc",
|
|
opacity: 25,
|
|
position: "center",
|
|
},
|
|
},
|
|
{ toolId: "compress", settings: { quality: 85 } },
|
|
{ toolId: "convert", settings: { format: "webp" } },
|
|
],
|
|
}),
|
|
},
|
|
});
|
|
expect(res.ok()).toBe(true);
|
|
const body = await res.json();
|
|
expect(body.downloadUrl).toBeTruthy();
|
|
expect(body.downloadUrl).toContain(".webp");
|
|
expect(body.processedSize).toBeGreaterThan(0);
|
|
});
|
|
});
|
|
|
|
// ─── Workflow: Blog Post Image Pipeline ───────────────────────────
|
|
|
|
test.describe("Workflow: blog post image pipeline", () => {
|
|
test("strip-metadata -> resize -> text-overlay -> optimize-for-web", async ({ request }) => {
|
|
const res = await request.post("/api/v1/pipeline/execute", {
|
|
headers: { Authorization: `Bearer ${token}` },
|
|
multipart: {
|
|
file: { name: "photo.jpg", mimeType: "image/jpeg", buffer: JPG_WITH_EXIF },
|
|
pipeline: JSON.stringify({
|
|
steps: [
|
|
{ toolId: "strip-metadata", settings: {} },
|
|
{ toolId: "resize", settings: { width: 1200, fit: "contain" } },
|
|
{
|
|
toolId: "text-overlay",
|
|
settings: {
|
|
text: "Blog Header Image",
|
|
fontSize: 36,
|
|
color: "#ffffff",
|
|
position: "bottom",
|
|
backgroundBox: true,
|
|
backgroundColor: "#333333",
|
|
},
|
|
},
|
|
{ toolId: "optimize-for-web", settings: { maxWidth: 1200, quality: 80 } },
|
|
],
|
|
}),
|
|
},
|
|
});
|
|
expect(res.ok()).toBe(true);
|
|
const body = await res.json();
|
|
expect(body.downloadUrl).toBeTruthy();
|
|
expect(body.processedSize).toBeGreaterThan(0);
|
|
});
|
|
});
|
|
|
|
// ─── Workflow: Archive Preparation Pipeline ───────────────────────
|
|
|
|
test.describe("Workflow: archive preparation pipeline", () => {
|
|
test("strip-metadata -> adjust-colors -> resize -> convert to TIFF", async ({ request }) => {
|
|
const res = await request.post("/api/v1/pipeline/execute", {
|
|
headers: { Authorization: `Bearer ${token}` },
|
|
multipart: {
|
|
file: { name: "sample.jpg", mimeType: "image/jpeg", buffer: JPG_SAMPLE },
|
|
pipeline: JSON.stringify({
|
|
steps: [
|
|
{ toolId: "strip-metadata", settings: {} },
|
|
{ toolId: "adjust-colors", settings: { brightness: 0, contrast: 5 } },
|
|
{ toolId: "resize", settings: { width: 2000, fit: "contain" } },
|
|
{ toolId: "convert", settings: { format: "tiff" } },
|
|
],
|
|
}),
|
|
},
|
|
});
|
|
expect(res.ok()).toBe(true);
|
|
const body = await res.json();
|
|
expect(body.downloadUrl).toBeTruthy();
|
|
expect(body.downloadUrl).toContain(".tiff");
|
|
});
|
|
});
|
|
|
|
// ─── Pipeline Step Metadata Validation ────────────────────────────
|
|
|
|
test.describe("Pipeline step metadata validation", () => {
|
|
test("3-step pipeline returns step metadata if available", async ({ request }) => {
|
|
const res = await request.post("/api/v1/pipeline/execute", {
|
|
headers: { Authorization: `Bearer ${token}` },
|
|
multipart: {
|
|
file: { name: "test.png", mimeType: "image/png", buffer: PNG_200x150 },
|
|
pipeline: JSON.stringify({
|
|
steps: [
|
|
{ toolId: "resize", settings: { width: 100, fit: "contain" } },
|
|
{ toolId: "sharpening", settings: { sigma: 1.0 } },
|
|
{ toolId: "compress", settings: { quality: 60 } },
|
|
],
|
|
}),
|
|
},
|
|
});
|
|
expect(res.ok()).toBe(true);
|
|
const body = await res.json();
|
|
expect(body.downloadUrl).toBeTruthy();
|
|
if (body.steps) {
|
|
expect(body.steps).toBeInstanceOf(Array);
|
|
expect(body.steps.length).toBe(3);
|
|
}
|
|
});
|
|
|
|
test("5-step pipeline returns step metadata if available", async ({ request }) => {
|
|
const res = await request.post("/api/v1/pipeline/execute", {
|
|
headers: { Authorization: `Bearer ${token}` },
|
|
multipart: {
|
|
file: { name: "sample.jpg", mimeType: "image/jpeg", buffer: JPG_SAMPLE },
|
|
pipeline: JSON.stringify({
|
|
steps: [
|
|
{ toolId: "strip-metadata", settings: {} },
|
|
{ toolId: "resize", settings: { width: 500, fit: "contain" } },
|
|
{ toolId: "adjust-colors", settings: { brightness: 10 } },
|
|
{ toolId: "sharpening", settings: { sigma: 0.8 } },
|
|
{ toolId: "compress", settings: { quality: 70 } },
|
|
],
|
|
}),
|
|
},
|
|
});
|
|
expect(res.ok()).toBe(true);
|
|
const body = await res.json();
|
|
expect(body.downloadUrl).toBeTruthy();
|
|
if (body.steps) {
|
|
expect(body.steps).toBeInstanceOf(Array);
|
|
expect(body.steps.length).toBe(5);
|
|
}
|
|
});
|
|
});
|
|
|
|
// ─── WebP Input Through Multi-Step Pipelines ──────────────────────
|
|
|
|
test.describe("WebP input through multi-step pipelines", () => {
|
|
test("WebP: 3-step resize -> adjust-colors -> convert to PNG", async ({ request }) => {
|
|
const res = await request.post("/api/v1/pipeline/execute", {
|
|
headers: { Authorization: `Bearer ${token}` },
|
|
multipart: {
|
|
file: { name: "test.webp", mimeType: "image/webp", buffer: WEBP_50x50 },
|
|
pipeline: JSON.stringify({
|
|
steps: [
|
|
{ toolId: "resize", settings: { width: 100, height: 100, fit: "fill" } },
|
|
{ toolId: "adjust-colors", settings: { brightness: 20, saturation: 15 } },
|
|
{ toolId: "convert", settings: { format: "png" } },
|
|
],
|
|
}),
|
|
},
|
|
});
|
|
expect(res.ok()).toBe(true);
|
|
const body = await res.json();
|
|
expect(body.downloadUrl).toBeTruthy();
|
|
expect(body.downloadUrl).toContain(".png");
|
|
});
|
|
});
|
|
|
|
// ─── Pipeline with Enhancement + Border + Convert ─────────────────
|
|
|
|
test.describe("Enhancement + Border + Convert pipeline", () => {
|
|
test("3-step enhance -> border -> convert to WebP", async ({ request }) => {
|
|
const res = await request.post("/api/v1/pipeline/execute", {
|
|
headers: { Authorization: `Bearer ${token}` },
|
|
multipart: {
|
|
file: { name: "test.jpg", mimeType: "image/jpeg", buffer: JPG_100x100 },
|
|
pipeline: JSON.stringify({
|
|
steps: [
|
|
{ toolId: "image-enhancement", settings: { preset: "auto" } },
|
|
{ toolId: "border", settings: { size: 10, color: "#333333" } },
|
|
{ toolId: "convert", settings: { format: "webp" } },
|
|
],
|
|
}),
|
|
},
|
|
});
|
|
expect(res.ok()).toBe(true);
|
|
const body = await res.json();
|
|
expect(body.downloadUrl).toBeTruthy();
|
|
expect(body.downloadUrl).toContain(".webp");
|
|
});
|
|
});
|
|
|
|
// ─── Pipeline with Multiple Color Operations ──────────────────────
|
|
|
|
test.describe("Pipeline with multiple color operations", () => {
|
|
test("adjust-colors -> replace-color -> adjust-colors (grayscale)", async ({ request }) => {
|
|
const res = await request.post("/api/v1/pipeline/execute", {
|
|
headers: { Authorization: `Bearer ${token}` },
|
|
multipart: {
|
|
file: { name: "test.png", mimeType: "image/png", buffer: PNG_200x150 },
|
|
pipeline: JSON.stringify({
|
|
steps: [
|
|
{ toolId: "adjust-colors", settings: { brightness: 20, contrast: 10 } },
|
|
{
|
|
toolId: "replace-color",
|
|
settings: {
|
|
targetColor: "#ffffff",
|
|
replacementColor: "#f0f0e0",
|
|
tolerance: 25,
|
|
},
|
|
},
|
|
{ toolId: "adjust-colors", settings: { grayscale: true } },
|
|
],
|
|
}),
|
|
},
|
|
});
|
|
expect(res.ok()).toBe(true);
|
|
const body = await res.json();
|
|
expect(body.downloadUrl).toBeTruthy();
|
|
});
|
|
});
|
|
|
|
// ─── Pipeline with Crop After Rotate ──────────────────────────────
|
|
|
|
test.describe("Pipeline with crop after rotate", () => {
|
|
test("rotate 90 -> crop center -> resize -> compress", async ({ request }) => {
|
|
const res = await request.post("/api/v1/pipeline/execute", {
|
|
headers: { Authorization: `Bearer ${token}` },
|
|
multipart: {
|
|
file: { name: "sample.jpg", mimeType: "image/jpeg", buffer: JPG_SAMPLE },
|
|
pipeline: JSON.stringify({
|
|
steps: [
|
|
{ toolId: "rotate", settings: { angle: 90 } },
|
|
{ toolId: "crop", settings: { left: 20, top: 20, width: 200, height: 200 } },
|
|
{ toolId: "resize", settings: { width: 100, fit: "contain" } },
|
|
{ toolId: "compress", settings: { quality: 60 } },
|
|
],
|
|
}),
|
|
},
|
|
});
|
|
expect(res.ok()).toBe(true);
|
|
const body = await res.json();
|
|
expect(body.downloadUrl).toBeTruthy();
|
|
expect(body.processedSize).toBeGreaterThan(0);
|
|
});
|
|
});
|