mirror of
https://github.com/snapotter-hq/SnapOtter.git
synced 2026-08-03 07:46:42 +02:00
test: major coverage expansion — 18 new test files, ~830 new tests
Unit tests: 1354 → 1781 (+427) - 11 new AI bridge module tests (packages/ai/ from 2/13 → 13/13 files) - files-page-store (0% → full), pdf-to-image-store, features-store expanded - saturation and edit-metadata image-engine operations - analytics route, features route, web analytics lib, api-extended Integration tests: ~2070 → 2320 (+250) - 31 integration files expanded with branch-coverage-targeted tests - progress.ts SSE endpoints (28% → comprehensive, +18 tests) - gif-tools all modes (+18), pdf-to-image format variants (+13) - Cross-format matrix expanded to 17 tools × 17 formats (467 tests) - Adversarial: concurrent, memory pressure, unicode filenames, pipeline limits E2E-Docker: +1020 lines across 6 spec files - Info, colors, sharpening, base64, QR read, JXL/ICO/SVG formats - Strip-metadata, image-enhancement, content-aware-resize expanded - Batch pipelines, multi-format batches, HEIC input coverage
This commit is contained in:
SnapOtter
@@ -1033,4 +1033,314 @@ describe("Stitch", () => {
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const result = JSON.parse(res.body);
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expect(result.error).toMatch(/json/i);
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});
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// ── Branch coverage: invalid file validation (line 157 area) ────────
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it("rejects an invalid/corrupt image file", async () => {
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const corruptBuffer = Buffer.from("this is not a valid image file");
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const { body, contentType } = createMultipartPayload([
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{ name: "f1", filename: "corrupt.png", contentType: "image/png", content: corruptBuffer },
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{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
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{
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name: "settings",
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content: JSON.stringify({ direction: "horizontal" }),
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},
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]);
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const res = await app.inject({
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method: "POST",
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url: "/api/v1/tools/stitch",
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headers: {
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authorization: `Bearer ${adminToken}`,
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"content-type": contentType,
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},
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body,
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});
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expect(res.statusCode).toBe(400);
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const result = JSON.parse(res.body);
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expect(result.error).toMatch(/invalid file/i);
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});
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// ── Branch coverage: horizontal fit when image already matches min height (line 300) ──
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it("stitches horizontally with fit mode when images have same height", async () => {
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const { body, contentType } = createMultipartPayload([
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{ name: "f1", filename: "a.jpg", contentType: "image/jpeg", content: JPG },
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{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
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{
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name: "settings",
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content: JSON.stringify({ direction: "horizontal", resizeMode: "fit" }),
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},
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]);
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const res = await app.inject({
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method: "POST",
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url: "/api/v1/tools/stitch",
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headers: {
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authorization: `Bearer ${adminToken}`,
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"content-type": contentType,
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},
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body,
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});
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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const dlRes = await app.inject({
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method: "GET",
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url: result.downloadUrl,
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headers: { authorization: `Bearer ${adminToken}` },
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});
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const meta = await sharp(dlRes.rawPayload).metadata();
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// Both 100x100, same height: no resizing needed, combined = 200x100
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expect(meta.width).toBe(200);
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expect(meta.height).toBe(100);
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});
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// ── Branch coverage: vertical fit when image already matches min width (line 338) ──
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it("stitches vertically with fit mode when images have same width", async () => {
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const { body, contentType } = createMultipartPayload([
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{ name: "f1", filename: "a.jpg", contentType: "image/jpeg", content: JPG },
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{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
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{
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name: "settings",
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content: JSON.stringify({ direction: "vertical", resizeMode: "fit" }),
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},
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]);
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const res = await app.inject({
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method: "POST",
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url: "/api/v1/tools/stitch",
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headers: {
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authorization: `Bearer ${adminToken}`,
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"content-type": contentType,
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},
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body,
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});
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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const dlRes = await app.inject({
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method: "GET",
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url: result.downloadUrl,
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headers: { authorization: `Bearer ${adminToken}` },
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});
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const meta = await sharp(dlRes.rawPayload).metadata();
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// Both 100x100, same width: no resizing needed, combined = 100x200
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expect(meta.width).toBe(100);
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expect(meta.height).toBe(200);
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});
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// ── Branch coverage: grid fit with large image (line 377 area) ──────
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it("stitches in grid mode with fit resize where images already fit", async () => {
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// All same-size images: scale factor >= 1 means no resizing
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const { body, contentType } = createMultipartPayload([
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{ name: "f1", filename: "a.jpg", contentType: "image/jpeg", content: JPG },
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{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
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{ name: "f3", filename: "c.jpg", contentType: "image/jpeg", content: JPG },
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{ name: "f4", filename: "d.jpg", contentType: "image/jpeg", content: JPG },
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{
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name: "settings",
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content: JSON.stringify({
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direction: "grid",
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gridColumns: 2,
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resizeMode: "fit",
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}),
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},
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]);
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const res = await app.inject({
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method: "POST",
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url: "/api/v1/tools/stitch",
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headers: {
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authorization: `Bearer ${adminToken}`,
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"content-type": contentType,
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},
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body,
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});
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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const dlRes = await app.inject({
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method: "GET",
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url: result.downloadUrl,
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headers: { authorization: `Bearer ${adminToken}` },
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});
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const meta = await sharp(dlRes.rawPayload).metadata();
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// 2 cols, 2 rows of 100x100; no gap, no border
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expect(meta.width).toBe(200);
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expect(meta.height).toBe(200);
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});
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// ── Branch coverage: corner radius with webp output ─────────────────
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it("applies corner radius with webp output format", async () => {
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const { body, contentType } = createMultipartPayload([
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{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
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{ name: "f2", filename: "b.png", contentType: "image/png", content: PNG },
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{
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name: "settings",
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content: JSON.stringify({
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direction: "horizontal",
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cornerRadius: 30,
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format: "webp",
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quality: 80,
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}),
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},
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]);
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const res = await app.inject({
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method: "POST",
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url: "/api/v1/tools/stitch",
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headers: {
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authorization: `Bearer ${adminToken}`,
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"content-type": contentType,
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},
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body,
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});
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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const dlRes = await app.inject({
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method: "GET",
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url: result.downloadUrl,
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headers: { authorization: `Bearer ${adminToken}` },
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});
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const meta = await sharp(dlRes.rawPayload).metadata();
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expect(meta.format).toBe("webp");
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});
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// ── Branch coverage: corner radius with avif output ─────────────────
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it("applies corner radius with avif output format", async () => {
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const { body, contentType } = createMultipartPayload([
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{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
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{ name: "f2", filename: "b.png", contentType: "image/png", content: PNG },
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{
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name: "settings",
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content: JSON.stringify({
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direction: "horizontal",
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cornerRadius: 20,
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format: "avif",
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quality: 70,
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}),
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},
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]);
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const res = await app.inject({
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method: "POST",
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url: "/api/v1/tools/stitch",
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headers: {
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authorization: `Bearer ${adminToken}`,
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"content-type": contentType,
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},
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body,
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});
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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const dlRes = await app.inject({
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method: "GET",
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url: result.downloadUrl,
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headers: { authorization: `Bearer ${adminToken}` },
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});
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const meta = await sharp(dlRes.rawPayload).metadata();
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expect(meta.format).toBe("heif");
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});
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// ── Branch coverage: corner radius with jpeg output (flatten) ───────
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it("applies corner radius with jpeg output format (flattens alpha)", async () => {
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const { body, contentType } = createMultipartPayload([
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{ name: "f1", filename: "a.png", contentType: "image/png", content: PNG },
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{ name: "f2", filename: "b.png", contentType: "image/png", content: PNG },
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{
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name: "settings",
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content: JSON.stringify({
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direction: "horizontal",
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cornerRadius: 15,
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format: "jpeg",
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quality: 85,
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}),
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},
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]);
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const res = await app.inject({
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method: "POST",
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url: "/api/v1/tools/stitch",
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headers: {
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authorization: `Bearer ${adminToken}`,
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"content-type": contentType,
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},
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body,
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});
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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const dlRes = await app.inject({
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method: "GET",
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url: result.downloadUrl,
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headers: { authorization: `Bearer ${adminToken}` },
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});
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const meta = await sharp(dlRes.rawPayload).metadata();
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expect(meta.format).toBe("jpeg");
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});
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// ── Branch coverage: 1x1 tiny images ────────────────────────────────
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it("handles 1x1 pixel input images", async () => {
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const TINY = readFileSync(join(FIXTURES, "test-1x1.png"));
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const { body, contentType } = createMultipartPayload([
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{ name: "f1", filename: "a.png", contentType: "image/png", content: TINY },
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{ name: "f2", filename: "b.png", contentType: "image/png", content: TINY },
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{
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name: "settings",
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content: JSON.stringify({ direction: "horizontal" }),
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},
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]);
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const res = await app.inject({
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method: "POST",
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url: "/api/v1/tools/stitch",
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headers: {
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authorization: `Bearer ${adminToken}`,
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"content-type": contentType,
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},
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body,
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});
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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expect(result.processedSize).toBeGreaterThan(0);
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});
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// ── Branch coverage: large file handling ────────────────────────────
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it("handles a large content image in stitching", async () => {
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const LARGE = readFileSync(join(FIXTURES, "content", "stress-large.jpg"));
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const { body, contentType } = createMultipartPayload([
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{ name: "f1", filename: "large.jpg", contentType: "image/jpeg", content: LARGE },
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{ name: "f2", filename: "b.jpg", contentType: "image/jpeg", content: JPG },
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{
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name: "settings",
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content: JSON.stringify({ direction: "horizontal", resizeMode: "fit" }),
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},
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]);
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const res = await app.inject({
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method: "POST",
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url: "/api/v1/tools/stitch",
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headers: {
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authorization: `Bearer ${adminToken}`,
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"content-type": contentType,
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},
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body,
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});
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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expect(result.processedSize).toBeGreaterThan(0);
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});
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});
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