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https://github.com/snapotter-hq/SnapOtter.git
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test: massive test coverage expansion (+1,437 tests, 22 new files)
Expand test coverage across all layers via 14 parallel agents: Unit tests (3,378 total, +534): - First-ever AI sidecar tests (157 tests covering bridge lifecycle, all 12 tool modules) - API route infrastructure (auth, pipeline, batch, settings, teams, roles, audit, api-keys, files, docs) - Lib coverage improvements (audit 7%->95%, worker-pool 33%->100%) - Web store/lib gap fills (features-store, tool-registry) Integration tests (4,403 total, +903): - Expanded 19 tool test files with parameter variations, format edge cases, boundary values - Cross-format matrix: 290 tests covering 14 tools x 17 formats - Adversarial/edge cases: 63 tests for extreme inputs, concurrent requests, corrupted files E2E-Docker (125 new tests): - Expanded 8 spec files + 1 new file covering all 49 tools - Added HEIC/format handling, auth failures, download verification GUI E2E (expanded 28 spec files): - Navigation, responsive layout, keyboard shortcuts - All 51 tool UIs with settings, processing, display modes - Batch/pipeline workflows, settings/RBAC, visual regression - Resilience, accessibility (ARIA, contrast, focus), performance budgets
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@@ -440,6 +440,119 @@ describe("SVG input", () => {
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});
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});
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// ── TIFF input ─────────────────────────────────────────────────
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describe("TIFF input", () => {
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it("extracts palette from TIFF image", async () => {
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const TIFF = readFileSync(join(FIXTURES, "formats", "sample.tiff"));
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const { body: payload, contentType } = makeFilePayload(TIFF, "test.tiff", "image/tiff");
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const res = await app.inject({
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method: "POST",
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url: "/api/v1/tools/color-palette",
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payload,
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headers: {
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"content-type": contentType,
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authorization: `Bearer ${adminToken}`,
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},
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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.colors.length).toBeGreaterThan(0);
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expect(result.filename).toBe("test.tiff");
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});
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});
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// ── Real photo with many colors ────────────────────────────────
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describe("Real photo palette", () => {
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it("extracts palette from portrait-color.jpg", async () => {
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const PHOTO = readFileSync(join(FIXTURES, "content", "portrait-color.jpg"));
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const { body: payload, contentType } = makeFilePayload(PHOTO, "photo.jpg", "image/jpeg");
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const res = await app.inject({
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method: "POST",
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url: "/api/v1/tools/color-palette",
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payload,
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headers: {
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"content-type": contentType,
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authorization: `Bearer ${adminToken}`,
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},
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});
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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expect(result.colors.length).toBeGreaterThanOrEqual(2);
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expect(result.colors.length).toBeLessThanOrEqual(8);
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// Verify all colors are valid hex
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for (const color of result.colors) {
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expect(color).toMatch(/^#[0-9a-f]{6}$/);
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}
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});
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});
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// ── Solid black image ──────────────────────────────────────────
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describe("Solid black image", () => {
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it("returns a single dominant color for a solid black image", async () => {
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const blackBuffer = await sharp({
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create: { width: 50, height: 50, channels: 3, background: { r: 0, g: 0, b: 0 } },
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})
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.png()
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.toBuffer();
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const { body: payload, contentType } = makeFilePayload(blackBuffer, "black.png", "image/png");
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const res = await app.inject({
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method: "POST",
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url: "/api/v1/tools/color-palette",
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payload,
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headers: {
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"content-type": contentType,
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authorization: `Bearer ${adminToken}`,
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},
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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.colors.length).toBe(1);
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expect(result.colors[0]).toBe("#000000");
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});
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});
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// ── Color count is between 1 and 8 ────────────────────────────
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describe("Color count bounds", () => {
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it("count field matches colors array length", async () => {
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const { body: payload, contentType } = makeFilePayload(PNG, "test.png", "image/png");
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const res = await app.inject({
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method: "POST",
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url: "/api/v1/tools/color-palette",
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payload,
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headers: {
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"content-type": contentType,
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authorization: `Bearer ${adminToken}`,
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},
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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.count).toBe(result.colors.length);
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expect(result.count).toBeGreaterThanOrEqual(1);
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expect(result.count).toBeLessThanOrEqual(8);
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});
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});
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// ── AVIF input ─────────────────────────────────────────────────
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describe("AVIF input", () => {
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it("extracts palette from AVIF image", async () => {
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const AVIF = readFileSync(join(FIXTURES, "formats", "sample.avif"));
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const { body: payload, contentType } = makeFilePayload(AVIF, "test.avif", "image/avif");
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const res = await app.inject({
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method: "POST",
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url: "/api/v1/tools/color-palette",
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payload,
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headers: {
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"content-type": contentType,
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authorization: `Bearer ${adminToken}`,
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},
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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.colors.length).toBeGreaterThan(0);
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});
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});
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// ── Filename preserved in response ──────────────────────────────
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describe("Filename tracking", () => {
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it("returns the original filename in the response", async () => {
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