mirror of
https://github.com/snapotter-hq/SnapOtter.git
synced 2026-08-03 07:46:42 +02:00
SnapOtter
b1afcfdf3c
Codemod rewrites all five ad-hoc fixture-path styles to import from the typed registry (tests/fixtures/index.ts): - join(__dirname, "..", "fixtures", ...) inline patterns (100 files) - const FIXTURES = join(__dirname, ...) + join(FIXTURES, ...) (92 files) - process.cwd()-based paths (10 files) - path.resolve(__dirname, ...) patterns (5 files) Registry extended with 8 new keys (portraitJpg, portraitHeic, motorcycle, svgLogo, barcodeAvif, qrAvif, crossFormatChat, multipageTiff) and directory accessors (fixtureDir, fixtureRoot). Dynamic directory scanners (format-matrix-generated, format-matrix-multimodal, hostile-inputs) preserved via fixtureDir imports. No fixtures swapped, bytes identical. Parity gate: dropped 0, net-new 388.
2124 lines
67 KiB
TypeScript
2124 lines
67 KiB
TypeScript
/**
|
|
* Integration tests for the stitch tool (/api/v1/tools/stitch).
|
|
*
|
|
* Stitch joins multiple images horizontally, vertically, or in a grid.
|
|
* It requires at least 2 images and accepts them via any file field name
|
|
* (type === "file").
|
|
*/
|
|
|
|
import sharp from "sharp";
|
|
import { afterAll, beforeAll, describe, expect, it } from "vitest";
|
|
import { fixtures, readFixture } from "../fixtures/index.js";
|
|
import { buildTestApp, createMultipartPayload, loginAsAdmin, type TestApp } from "./test-server.js";
|
|
|
|
const PNG = readFixture(fixtures.image.base.png200);
|
|
const JPG = readFixture(fixtures.image.base.jpg100);
|
|
|
|
let testApp: TestApp;
|
|
let app: TestApp["app"];
|
|
let adminToken: string;
|
|
|
|
beforeAll(async () => {
|
|
testApp = await buildTestApp();
|
|
app = testApp.app;
|
|
adminToken = await loginAsAdmin(app);
|
|
}, 30_000);
|
|
|
|
afterAll(async () => {
|
|
await testApp.cleanup();
|
|
}, 10_000);
|
|
|
|
describe("Stitch", () => {
|
|
it("stitches two images horizontally with fit mode", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "file1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "file2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "horizontal", resizeMode: "fit" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.downloadUrl).toBeDefined();
|
|
expect(result.processedSize).toBeGreaterThan(0);
|
|
|
|
// Download and verify dimensions: fit mode scales to smallest height
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
// Both scaled to min height (100). PNG 200x150 -> 133x100, JPG stays 100x100.
|
|
// Total width = 133 + 100 = 233, height = 100
|
|
expect(meta.height).toBe(100);
|
|
expect(meta.width).toBeGreaterThan(200); // combined width
|
|
});
|
|
|
|
it("stitches two images vertically with fit mode", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "file1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "file2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "vertical", resizeMode: "fit" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
// fit mode scales to smallest width (100). PNG 200x150 -> 100x75, JPG stays 100x100.
|
|
// Total height = 75 + 100 = 175, width = 100
|
|
expect(meta.width).toBe(100);
|
|
expect(meta.height).toBe(175);
|
|
});
|
|
|
|
it("stitches with original resize mode (no resizing)", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "file1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "file2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "horizontal", resizeMode: "original" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
// Original sizes: 200 + 100 = 300 wide, max height = 150
|
|
expect(meta.width).toBe(300);
|
|
expect(meta.height).toBe(150);
|
|
});
|
|
|
|
it("stitches in grid mode", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f3", filename: "c.png", contentType: "image/png", content: PNG },
|
|
{ name: "f4", filename: "d.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "grid",
|
|
gridColumns: 2,
|
|
resizeMode: "stretch",
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.downloadUrl).toBeDefined();
|
|
expect(result.processedSize).toBeGreaterThan(0);
|
|
});
|
|
|
|
it("applies gap between images", async () => {
|
|
const gap = 20;
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "horizontal",
|
|
resizeMode: "original",
|
|
gap,
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
// Two 100px wide images + 20px gap = 220 wide
|
|
expect(meta.width).toBe(100 + 100 + gap);
|
|
expect(meta.height).toBe(100);
|
|
});
|
|
|
|
it("applies border around the stitched result", async () => {
|
|
const border = 15;
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "horizontal",
|
|
resizeMode: "original",
|
|
border,
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
// Two 100px images + 15px border on each side = 230 wide, 130 tall
|
|
expect(meta.width).toBe(100 + 100 + border * 2);
|
|
expect(meta.height).toBe(100 + border * 2);
|
|
});
|
|
|
|
it("outputs in webp format", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "horizontal",
|
|
format: "webp",
|
|
quality: 85,
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
expect(meta.format).toBe("webp");
|
|
});
|
|
|
|
it("applies corner radius to the final result", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.png", contentType: "image/png", content: PNG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "horizontal",
|
|
cornerRadius: 30,
|
|
format: "png",
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
// Corner radius forces PNG with alpha
|
|
expect(meta.channels).toBe(4);
|
|
});
|
|
|
|
// ── Validation ──────────────────────────────────────────────────────
|
|
|
|
it("rejects requests with fewer than 2 images", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "file", filename: "solo.png", contentType: "image/png", content: PNG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "horizontal" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(400);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.error).toMatch(/at least 2/i);
|
|
});
|
|
|
|
it("rejects requests with no images", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "horizontal" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(400);
|
|
});
|
|
|
|
it("rejects invalid direction", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "diagonal" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(400);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.error).toMatch(/invalid settings/i);
|
|
});
|
|
|
|
it("rejects invalid backgroundColor (non-hex)", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ backgroundColor: "red" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(400);
|
|
});
|
|
|
|
it("rejects unauthenticated requests", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "settings", content: JSON.stringify({}) },
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: { "content-type": contentType },
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(401);
|
|
});
|
|
|
|
// ── Extended coverage: resize modes, alignment, edge cases ─────────
|
|
|
|
it("stitches vertically with original mode (no resizing)", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "vertical", resizeMode: "original" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
// Original sizes: max width = 200, total height = 150 + 100 = 250
|
|
expect(meta.width).toBe(200);
|
|
expect(meta.height).toBe(250);
|
|
});
|
|
|
|
it("stitches horizontally with stretch mode", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "horizontal", resizeMode: "stretch" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
// Stretch mode: both images get min height (100), widths preserved
|
|
expect(meta.height).toBe(100);
|
|
});
|
|
|
|
it("stitches vertically with stretch mode", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "vertical", resizeMode: "stretch" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
// Stretch mode: both images get min width (100), heights preserved
|
|
expect(meta.width).toBe(100);
|
|
});
|
|
|
|
it("stitches horizontally with crop mode", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "horizontal", resizeMode: "crop" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
// Crop mode: min height = 100
|
|
expect(meta.height).toBe(100);
|
|
});
|
|
|
|
it("stitches vertically with crop mode", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "vertical", resizeMode: "crop" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
// Crop mode vertically: min width = 100
|
|
expect(meta.width).toBe(100);
|
|
});
|
|
|
|
it("applies start alignment in horizontal mode", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "horizontal",
|
|
resizeMode: "original",
|
|
alignment: "start",
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.downloadUrl).toBeDefined();
|
|
});
|
|
|
|
it("applies end alignment in vertical mode", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "vertical",
|
|
resizeMode: "original",
|
|
alignment: "end",
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.downloadUrl).toBeDefined();
|
|
});
|
|
|
|
it("applies gap in vertical mode", async () => {
|
|
const gap = 25;
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "vertical",
|
|
resizeMode: "original",
|
|
gap,
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
// Two 100px tall images + 25px gap = 225 tall
|
|
expect(meta.height).toBe(100 + 100 + gap);
|
|
expect(meta.width).toBe(100);
|
|
});
|
|
|
|
it("stitches in grid mode with fit resize", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f3", filename: "c.png", contentType: "image/png", content: PNG },
|
|
{ name: "f4", filename: "d.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "grid",
|
|
gridColumns: 2,
|
|
resizeMode: "fit",
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.downloadUrl).toBeDefined();
|
|
});
|
|
|
|
it("stitches in grid mode with crop resize", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f3", filename: "c.png", contentType: "image/png", content: PNG },
|
|
{ name: "f4", filename: "d.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "grid",
|
|
gridColumns: 2,
|
|
resizeMode: "crop",
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.downloadUrl).toBeDefined();
|
|
});
|
|
|
|
it("stitches in grid mode with original resize (no scaling)", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f3", filename: "c.png", contentType: "image/png", content: PNG },
|
|
{ name: "f4", filename: "d.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "grid",
|
|
gridColumns: 2,
|
|
resizeMode: "original",
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.downloadUrl).toBeDefined();
|
|
});
|
|
|
|
it("applies gap and border together in grid mode", async () => {
|
|
const gap = 10;
|
|
const border = 15;
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f3", filename: "c.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f4", filename: "d.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "grid",
|
|
gridColumns: 2,
|
|
resizeMode: "stretch",
|
|
gap,
|
|
border,
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
// 2 cols x 2 rows: 2*100 + 1*10 + 2*15 = 240 wide, 2*100 + 1*10 + 2*15 = 240 tall
|
|
expect(meta.width).toBe(2 * 100 + gap + 2 * border);
|
|
expect(meta.height).toBe(2 * 100 + gap + 2 * border);
|
|
});
|
|
|
|
it("applies custom background color", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "horizontal",
|
|
resizeMode: "original",
|
|
backgroundColor: "#0000FF",
|
|
gap: 20,
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.processedSize).toBeGreaterThan(0);
|
|
});
|
|
|
|
it("outputs in jpeg format", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "horizontal",
|
|
format: "jpeg",
|
|
quality: 80,
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
expect(meta.format).toBe("jpeg");
|
|
});
|
|
|
|
it("outputs in avif format", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "horizontal",
|
|
format: "avif",
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
expect(meta.format).toBe("heif");
|
|
});
|
|
|
|
it("handles HEIC input", { timeout: 120_000 }, async () => {
|
|
const HEIC = readFixture(fixtures.image.base.heic200);
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.heic", contentType: "image/heic", content: HEIC },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "horizontal" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.downloadUrl).toBeDefined();
|
|
});
|
|
|
|
it("stitches 5+ images horizontally", async () => {
|
|
const WEBP = readFixture(fixtures.image.base.webp50);
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f3", filename: "c.webp", contentType: "image/webp", content: WEBP },
|
|
{ name: "f4", filename: "d.png", contentType: "image/png", content: PNG },
|
|
{ name: "f5", filename: "e.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "horizontal", resizeMode: "original" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
// 200 + 100 + 50 + 200 + 100 = 650 wide
|
|
expect(meta.width).toBe(650);
|
|
});
|
|
|
|
it("rejects invalid format value", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "horizontal", format: "bmp" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(400);
|
|
});
|
|
|
|
it("rejects invalid JSON in settings", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "settings", content: "{{bad json" },
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(400);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.error).toMatch(/json/i);
|
|
});
|
|
|
|
// ── Branch coverage: invalid file validation (line 157 area) ────────
|
|
|
|
it("rejects an invalid/corrupt image file", async () => {
|
|
const corruptBuffer = Buffer.from("this is not a valid image file");
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "corrupt.png", contentType: "image/png", content: corruptBuffer },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "horizontal" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(400);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.error).toMatch(/invalid file/i);
|
|
});
|
|
|
|
// ── Branch coverage: horizontal fit when image already matches min height (line 300) ──
|
|
|
|
it("stitches horizontally with fit mode when images have same height", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "horizontal", resizeMode: "fit" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
// Both 100x100, same height: no resizing needed, combined = 200x100
|
|
expect(meta.width).toBe(200);
|
|
expect(meta.height).toBe(100);
|
|
});
|
|
|
|
// ── Branch coverage: vertical fit when image already matches min width (line 338) ──
|
|
|
|
it("stitches vertically with fit mode when images have same width", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "vertical", resizeMode: "fit" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
// Both 100x100, same width: no resizing needed, combined = 100x200
|
|
expect(meta.width).toBe(100);
|
|
expect(meta.height).toBe(200);
|
|
});
|
|
|
|
// ── Branch coverage: grid fit with large image (line 377 area) ──────
|
|
|
|
it("stitches in grid mode with fit resize where images already fit", async () => {
|
|
// All same-size images: scale factor >= 1 means no resizing
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f3", filename: "c.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f4", filename: "d.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "grid",
|
|
gridColumns: 2,
|
|
resizeMode: "fit",
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
// 2 cols, 2 rows of 100x100; no gap, no border
|
|
expect(meta.width).toBe(200);
|
|
expect(meta.height).toBe(200);
|
|
});
|
|
|
|
// ── Branch coverage: corner radius with webp output ─────────────────
|
|
|
|
it("applies corner radius with webp output format", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.png", contentType: "image/png", content: PNG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "horizontal",
|
|
cornerRadius: 30,
|
|
format: "webp",
|
|
quality: 80,
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
expect(meta.format).toBe("webp");
|
|
});
|
|
|
|
// ── Branch coverage: corner radius with avif output ─────────────────
|
|
|
|
it("applies corner radius with avif output format", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.png", contentType: "image/png", content: PNG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "horizontal",
|
|
cornerRadius: 20,
|
|
format: "avif",
|
|
quality: 70,
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
expect(meta.format).toBe("heif");
|
|
});
|
|
|
|
// ── Branch coverage: corner radius with jpeg output (flatten) ───────
|
|
|
|
it("applies corner radius with jpeg output format (flattens alpha)", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.png", contentType: "image/png", content: PNG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "horizontal",
|
|
cornerRadius: 15,
|
|
format: "jpeg",
|
|
quality: 85,
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
expect(meta.format).toBe("jpeg");
|
|
});
|
|
|
|
// ── Branch coverage: 1x1 tiny images ────────────────────────────────
|
|
|
|
it("handles 1x1 pixel input images", async () => {
|
|
const TINY = readFixture(fixtures.image.edge.px1);
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: TINY },
|
|
{ name: "f2", filename: "b.png", contentType: "image/png", content: TINY },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "horizontal" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.processedSize).toBeGreaterThan(0);
|
|
});
|
|
|
|
// ── Branch coverage: large file handling ────────────────────────────
|
|
|
|
it("handles a large content image in stitching", async () => {
|
|
const LARGE = readFixture(fixtures.image.stressLarge);
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "large.jpg", contentType: "image/jpeg", content: LARGE },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "horizontal", resizeMode: "fit" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.processedSize).toBeGreaterThan(0);
|
|
});
|
|
|
|
// ── Branch coverage: gap exceeding max rejects ─────────────────────
|
|
|
|
it("rejects gap exceeding max (1000)", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "horizontal", gap: 1001 }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(400);
|
|
});
|
|
|
|
// ── Branch coverage: border exceeding max rejects ──────────────────
|
|
|
|
it("rejects border exceeding max (500)", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "horizontal", border: 501 }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(400);
|
|
});
|
|
|
|
// ── Branch coverage: center alignment (default) verified ───────────
|
|
|
|
it("uses center alignment by default in horizontal mode", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "horizontal", resizeMode: "original" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.downloadUrl).toBeDefined();
|
|
expect(result.jobId).toBeDefined();
|
|
expect(result.originalSize).toBeGreaterThan(0);
|
|
});
|
|
|
|
// ── Branch coverage: grid mode with gap and odd number of images ───
|
|
|
|
it("stitches in grid mode with odd number of images", async () => {
|
|
const WEBP = readFixture(fixtures.image.base.webp50);
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f3", filename: "c.webp", contentType: "image/webp", content: WEBP },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "grid",
|
|
gridColumns: 2,
|
|
resizeMode: "stretch",
|
|
gap: 5,
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.downloadUrl).toBeDefined();
|
|
});
|
|
|
|
// ── Branch coverage: HEIF content format input ─────────────────────
|
|
|
|
it("handles portrait HEIC input in stitching", { timeout: 120_000 }, async () => {
|
|
const HEIC_PORTRAIT = readFixture(fixtures.image.portraitHeic);
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.heic", contentType: "image/heic", content: HEIC_PORTRAIT },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "horizontal" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.downloadUrl).toBeDefined();
|
|
});
|
|
|
|
// ── HEIF format input ─────────────────────────────────────────────
|
|
|
|
it("handles HEIF input in stitching", { timeout: 120_000 }, async () => {
|
|
const HEIF = readFixture(fixtures.image.motorcycle);
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.heif", contentType: "image/heif", content: HEIF },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "horizontal" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.downloadUrl).toBeDefined();
|
|
expect(result.processedSize).toBeGreaterThan(0);
|
|
});
|
|
|
|
// ── Animated GIF input ────────────────────────────────────────────
|
|
|
|
it("handles animated GIF input in stitching", async () => {
|
|
const GIF = readFixture(fixtures.image.animated.gif);
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.gif", contentType: "image/gif", content: GIF },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "horizontal" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.downloadUrl).toBeDefined();
|
|
expect(result.processedSize).toBeGreaterThan(0);
|
|
});
|
|
|
|
// ── SVG input ─────────────────────────────────────────────────────
|
|
|
|
it("handles SVG input in stitching", async () => {
|
|
const SVG = readFixture(fixtures.image.base.svg100);
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "icon.svg", contentType: "image/svg+xml", content: SVG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "horizontal" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.downloadUrl).toBeDefined();
|
|
expect(result.processedSize).toBeGreaterThan(0);
|
|
});
|
|
|
|
// ── Branch coverage: vertical crop with very different sizes ───────
|
|
|
|
it("stitches vertically with crop mode using very different image sizes", async () => {
|
|
const WEBP = readFixture(fixtures.image.base.webp50);
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.webp", contentType: "image/webp", content: WEBP },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "vertical", resizeMode: "crop" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
// Crop mode vertically: min width = 50
|
|
expect(meta.width).toBe(50);
|
|
});
|
|
|
|
// ── Branch coverage: horizontal crop with very different sizes ─────
|
|
|
|
it("stitches horizontally with crop mode using very different image sizes", async () => {
|
|
const WEBP = readFixture(fixtures.image.base.webp50);
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.webp", contentType: "image/webp", content: WEBP },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "horizontal", resizeMode: "crop" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
// Crop mode horizontally: min height = 50
|
|
expect(meta.height).toBe(50);
|
|
});
|
|
|
|
// ── Branch coverage: grid with 5+ images ───────────────────────────
|
|
|
|
it("stitches 5+ images in grid mode with 3 columns", async () => {
|
|
const WEBP = readFixture(fixtures.image.base.webp50);
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f3", filename: "c.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f4", filename: "d.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f5", filename: "e.webp", contentType: "image/webp", content: WEBP },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "grid",
|
|
gridColumns: 3,
|
|
resizeMode: "stretch",
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.downloadUrl).toBeDefined();
|
|
expect(result.processedSize).toBeGreaterThan(0);
|
|
});
|
|
|
|
// ── JXL output format ─────────────────────────────────────────────
|
|
|
|
it("accepts jxl output format (succeeds if Sharp supports JXL)", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "horizontal",
|
|
format: "jxl",
|
|
quality: 80,
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
// JXL support depends on the Sharp build
|
|
expect([200, 422]).toContain(res.statusCode);
|
|
if (res.statusCode === 200) {
|
|
const result = JSON.parse(res.body);
|
|
expect(result.downloadUrl).toContain("stitch.jxl");
|
|
expect(result.processedSize).toBeGreaterThan(0);
|
|
}
|
|
});
|
|
|
|
// ── Corner radius with JXL output ─────────────────────────────────
|
|
|
|
it("applies corner radius with jxl output format (if supported)", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.png", contentType: "image/png", content: PNG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "horizontal",
|
|
cornerRadius: 20,
|
|
format: "jxl",
|
|
quality: 75,
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
// JXL support depends on the Sharp build
|
|
expect([200, 422]).toContain(res.statusCode);
|
|
if (res.statusCode === 200) {
|
|
const result = JSON.parse(res.body);
|
|
expect(result.processedSize).toBeGreaterThan(0);
|
|
}
|
|
});
|
|
|
|
// ── Grid with gridColumns greater than image count ────────────────
|
|
|
|
it("stitches grid with more columns than images (single row)", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "grid",
|
|
gridColumns: 10,
|
|
resizeMode: "stretch",
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
// cols is clamped to prepared.length (2), so 2 cols x 1 row
|
|
expect(meta.width).toBe(200);
|
|
expect(meta.height).toBe(100);
|
|
});
|
|
|
|
// ── Combined gap + border + corner radius ─────────────────────────
|
|
|
|
it("combines gap, border, and corner radius in horizontal mode", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "horizontal",
|
|
resizeMode: "original",
|
|
gap: 10,
|
|
border: 5,
|
|
cornerRadius: 15,
|
|
format: "png",
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
// 2*100 + 10 gap + 2*5 border = 220
|
|
expect(meta.width).toBe(220);
|
|
expect(meta.height).toBe(110); // 100 + 2*5
|
|
expect(meta.channels).toBe(4); // corner radius adds alpha
|
|
});
|
|
|
|
// ── AVIF format input ─────────────────────────────────────────────
|
|
|
|
it("handles AVIF input in stitching", async () => {
|
|
const AVIF = readFixture(fixtures.image.formats("avif"));
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.avif", contentType: "image/avif", content: AVIF },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "horizontal" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.downloadUrl).toBeDefined();
|
|
expect(result.processedSize).toBeGreaterThan(0);
|
|
});
|
|
|
|
// ── SVGZ input ───────────────────────────────────────────────────
|
|
|
|
it("handles SVGZ (compressed SVG) input in stitching", async () => {
|
|
const SVGZ = readFixture(fixtures.image.formats("svgz"));
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "icon.svgz", contentType: "image/svg+xml", content: SVGZ },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({ direction: "horizontal" }),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.downloadUrl).toBeDefined();
|
|
expect(result.processedSize).toBeGreaterThan(0);
|
|
});
|
|
|
|
// ── Grid with 1 column (single column layout) ───────────────────
|
|
|
|
it("stitches grid with gridColumns=2 and exactly 2 images", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.jpg", contentType: "image/jpeg", content: JPG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "grid",
|
|
gridColumns: 2,
|
|
resizeMode: "original",
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
// 2 cols, 1 row of 100x100
|
|
expect(meta.width).toBe(200);
|
|
expect(meta.height).toBe(100);
|
|
});
|
|
|
|
// ── Center alignment explicit in vertical mode ──────────────────
|
|
|
|
it("applies center alignment explicitly in vertical mode", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "vertical",
|
|
resizeMode: "original",
|
|
alignment: "center",
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.downloadUrl).toBeDefined();
|
|
});
|
|
|
|
// ── Start alignment in vertical mode ────────────────────────────
|
|
|
|
it("applies start alignment in vertical mode", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "vertical",
|
|
resizeMode: "original",
|
|
alignment: "start",
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.downloadUrl).toBeDefined();
|
|
});
|
|
|
|
// ── End alignment in horizontal mode ────────────────────────────
|
|
|
|
it("applies end alignment in horizontal mode", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "horizontal",
|
|
resizeMode: "original",
|
|
alignment: "end",
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.downloadUrl).toBeDefined();
|
|
});
|
|
|
|
// ── Combined: all settings together ─────────────────────────────
|
|
|
|
it("combines all settings: direction, resize, alignment, gap, border, cornerRadius, bg, format", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "vertical",
|
|
resizeMode: "stretch",
|
|
alignment: "end",
|
|
gap: 8,
|
|
border: 4,
|
|
cornerRadius: 10,
|
|
backgroundColor: "#FF00FF",
|
|
format: "webp",
|
|
quality: 75,
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.processedSize).toBeGreaterThan(0);
|
|
const dlRes = await app.inject({
|
|
method: "GET",
|
|
url: result.downloadUrl,
|
|
headers: { authorization: `Bearer ${adminToken}` },
|
|
});
|
|
const meta = await sharp(dlRes.rawPayload).metadata();
|
|
expect(meta.format).toBe("webp");
|
|
});
|
|
|
|
// ── Quality at boundary (1 = minimum) ───────────────────────────
|
|
|
|
it("accepts quality at minimum (1) for jpeg output", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "horizontal",
|
|
format: "jpeg",
|
|
quality: 1,
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(200);
|
|
const result = JSON.parse(res.body);
|
|
expect(result.processedSize).toBeGreaterThan(0);
|
|
});
|
|
|
|
// ── Quality below minimum rejects ───────────────────────────────
|
|
|
|
it("rejects quality below minimum (0)", async () => {
|
|
const { body, contentType } = createMultipartPayload([
|
|
{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
|
|
{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
|
|
{
|
|
name: "settings",
|
|
content: JSON.stringify({
|
|
direction: "horizontal",
|
|
quality: 0,
|
|
}),
|
|
},
|
|
]);
|
|
|
|
const res = await app.inject({
|
|
method: "POST",
|
|
url: "/api/v1/tools/stitch",
|
|
headers: {
|
|
authorization: `Bearer ${adminToken}`,
|
|
"content-type": contentType,
|
|
},
|
|
body,
|
|
});
|
|
|
|
expect(res.statusCode).toBe(400);
|
|
});
|
|
});
|