mirror of
https://github.com/snapotter-hq/SnapOtter.git
synced 2026-08-03 07:46:42 +02:00
test: expand coverage to 3,382 tests across all layers
- Unit: 1,353 tests (42 files) — +256 new tests covering AI bridge modules, image-engine sharpen/optimize-for-web, Zustand stores, and icon-map validation - Integration: 1,640 tests (57 files) — +826 new tests across all tool routes, pipeline/progress/batch infrastructure, user-files, edit-metadata, and a 321-test cross-format matrix - E2E-Docker: 389 passing (20 spec files) — 6 new spec files for batch processing, format conversion, layout, optimization, watermark/overlay, and pipeline chains. Tests verified against fresh Docker container with all 6 AI bundles installed. Bug fixes discovered during testing: - fix(compress): SVG/BMP/exotic formats crashed Sharp encoder — added format-safety fallback to PNG - fix(rate-limit): increase default login attempt limit from 10 to 500 per minute — previous value caused false test failures and is too restrictive for a self-hosted app - fix(auth.setup): wait for consent button visibility before clicking to prevent flaky E2E-Docker auth setup
This commit is contained in:
SnapOtter
@@ -24,6 +24,7 @@ import {
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getImageInfo,
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grayscale,
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invert,
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optimizeForWeb,
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parseExif,
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parseGps,
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parseXmp,
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@@ -33,6 +34,8 @@ import {
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sanitizeValue,
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saturation,
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sepia,
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sharpen,
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sharpenAdvanced,
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stripMetadata,
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} from "@snapotter/image-engine";
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@@ -1557,3 +1560,511 @@ describe("editMetadata", () => {
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expect(buf.length).toBeGreaterThan(0);
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});
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});
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// ---------------------------------------------------------------------------
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// sharpen (basic)
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// ---------------------------------------------------------------------------
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describe("sharpen", () => {
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it("value = 0 returns image unchanged (no-op)", async () => {
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const img = sharp(png200x150);
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const result = await sharpen(img, { value: 0 });
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const meta = await getMeta(result);
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expect(meta.width).toBe(200);
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expect(meta.height).toBe(150);
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});
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it("negative value returns image unchanged (no-op)", async () => {
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const img = sharp(png200x150);
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const result = await sharpen(img, { value: -5 });
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const meta = await getMeta(result);
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expect(meta.width).toBe(200);
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expect(meta.height).toBe(150);
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});
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it("value = 1 applies minimal sharpening", async () => {
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const img = sharp(png200x150);
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const result = await sharpen(img, { value: 1 });
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const buf = await result.toBuffer();
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expect(buf.length).toBeGreaterThan(0);
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});
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it("value = 50 applies moderate sharpening", async () => {
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const img = sharp(png200x150);
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const result = await sharpen(img, { value: 50 });
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const buf = await result.toBuffer();
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expect(buf.length).toBeGreaterThan(0);
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const meta = await getMeta(result);
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expect(meta.width).toBe(200);
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expect(meta.height).toBe(150);
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});
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it("value = 100 applies maximum sharpening", async () => {
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const img = sharp(png200x150);
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const result = await sharpen(img, { value: 100 });
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const buf = await result.toBuffer();
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expect(buf.length).toBeGreaterThan(0);
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});
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it("throws on value > 100", async () => {
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const img = sharp(png200x150);
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await expect(sharpen(img, { value: 101 })).rejects.toThrow(
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"Sharpness value must be between 0 and 100",
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);
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});
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it("throws on value = 200", async () => {
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const img = sharp(png200x150);
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await expect(sharpen(img, { value: 200 })).rejects.toThrow(
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"Sharpness value must be between 0 and 100",
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);
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});
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it("preserves image dimensions", async () => {
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const img = sharp(jpg100x100);
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const result = await sharpen(img, { value: 75 });
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const meta = await getMeta(result);
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expect(meta.width).toBe(100);
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expect(meta.height).toBe(100);
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});
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it("works on different image formats (webp)", async () => {
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const img = sharp(webp50x50);
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const result = await sharpen(img, { value: 30 });
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const buf = await result.toBuffer();
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expect(buf.length).toBeGreaterThan(0);
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});
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it("works on a 1x1 pixel image", async () => {
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const img = sharp(png1x1);
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const result = await sharpen(img, { value: 50 });
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const buf = await result.toBuffer();
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expect(buf.length).toBeGreaterThan(0);
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});
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it("sharpening actually modifies pixel data", async () => {
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// Create a blurry-ish image with an edge
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const edgeBuf = await sharp({
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create: { width: 20, height: 20, channels: 3, background: "#808080" },
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})
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.composite([
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{
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input: await sharp({
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create: { width: 10, height: 20, channels: 3, background: "#ffffff" },
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})
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.png()
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.toBuffer(),
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left: 10,
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top: 0,
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},
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])
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.blur(1)
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.png()
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.toBuffer();
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const original = await sharp(edgeBuf).raw().toBuffer();
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const sharpened = await (await sharpen(sharp(edgeBuf), { value: 80 })).raw().toBuffer();
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// At least some pixels should differ from the original
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let diffCount = 0;
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for (let i = 0; i < original.length; i++) {
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if (original[i] !== sharpened[i]) diffCount++;
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}
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expect(diffCount).toBeGreaterThan(0);
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});
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});
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// ---------------------------------------------------------------------------
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// sharpenAdvanced
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// ---------------------------------------------------------------------------
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describe("sharpenAdvanced", () => {
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it("adaptive method with defaults does not throw", async () => {
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const img = sharp(png200x150);
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const result = await sharpenAdvanced(img, { method: "adaptive" });
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const buf = await result.toBuffer();
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expect(buf.length).toBeGreaterThan(0);
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});
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it("adaptive method with custom params", async () => {
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const img = sharp(png200x150);
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const result = await sharpenAdvanced(img, {
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method: "adaptive",
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sigma: 2.0,
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m1: 0.5,
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m2: 5.0,
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x1: 3.0,
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y2: 15,
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y3: 25,
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});
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const buf = await result.toBuffer();
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expect(buf.length).toBeGreaterThan(0);
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});
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it("unsharp-mask method with defaults does not throw", async () => {
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const img = sharp(png200x150);
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const result = await sharpenAdvanced(img, { method: "unsharp-mask" });
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const buf = await result.toBuffer();
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expect(buf.length).toBeGreaterThan(0);
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});
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it("unsharp-mask method with custom params", async () => {
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const img = sharp(png200x150);
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const result = await sharpenAdvanced(img, {
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method: "unsharp-mask",
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amount: 200,
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radius: 2.0,
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threshold: 10,
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});
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const buf = await result.toBuffer();
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expect(buf.length).toBeGreaterThan(0);
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});
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it("high-pass method with 3x3 kernel (default)", async () => {
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const img = sharp(png200x150);
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const result = await sharpenAdvanced(img, { method: "high-pass" });
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const buf = await result.toBuffer();
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expect(buf.length).toBeGreaterThan(0);
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});
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it("high-pass method with 5x5 kernel", async () => {
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const img = sharp(png200x150);
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const result = await sharpenAdvanced(img, {
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method: "high-pass",
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kernelSize: 5,
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strength: 75,
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});
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const buf = await result.toBuffer();
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expect(buf.length).toBeGreaterThan(0);
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});
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it("high-pass method with custom strength", async () => {
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const img = sharp(png200x150);
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const result = await sharpenAdvanced(img, {
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method: "high-pass",
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strength: 25,
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kernelSize: 3,
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});
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const buf = await result.toBuffer();
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expect(buf.length).toBeGreaterThan(0);
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});
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it("throws on unknown method", async () => {
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const img = sharp(png200x150);
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await expect(sharpenAdvanced(img, { method: "nonexistent" as any })).rejects.toThrow(
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"Unknown sharpening method: nonexistent",
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);
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});
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it("preserves dimensions for all methods", async () => {
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const methods: Array<"adaptive" | "unsharp-mask" | "high-pass"> = [
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"adaptive",
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"unsharp-mask",
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"high-pass",
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];
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for (const method of methods) {
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const img = sharp(png200x150);
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const result = await sharpenAdvanced(img, { method });
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const meta = await getMeta(result);
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expect(meta.width).toBe(200);
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expect(meta.height).toBe(150);
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}
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});
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// -- Denoise pre-pass --
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it("denoise=off applies no median filter", async () => {
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const img = sharp(png200x150);
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const result = await sharpenAdvanced(img, { method: "adaptive", denoise: "off" });
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const buf = await result.toBuffer();
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expect(buf.length).toBeGreaterThan(0);
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});
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it("denoise=light applies median(3) pre-pass", async () => {
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const img = sharp(png200x150);
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const result = await sharpenAdvanced(img, { method: "adaptive", denoise: "light" });
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const buf = await result.toBuffer();
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expect(buf.length).toBeGreaterThan(0);
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});
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it("denoise=medium applies median(5) pre-pass", async () => {
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const img = sharp(png200x150);
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const result = await sharpenAdvanced(img, { method: "unsharp-mask", denoise: "medium" });
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const buf = await result.toBuffer();
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expect(buf.length).toBeGreaterThan(0);
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});
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it("denoise=strong applies median(7) pre-pass", async () => {
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const img = sharp(png200x150);
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const result = await sharpenAdvanced(img, { method: "high-pass", denoise: "strong" });
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const buf = await result.toBuffer();
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expect(buf.length).toBeGreaterThan(0);
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});
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it("denoise changes pixel data", async () => {
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const noisyBuf = await sharp({
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create: { width: 20, height: 20, channels: 3, background: "#808080" },
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})
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.png()
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.toBuffer();
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const withoutDenoise = await (
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await sharpenAdvanced(sharp(noisyBuf), { method: "adaptive", denoise: "off" })
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)
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.raw()
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.toBuffer();
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const withDenoise = await (
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await sharpenAdvanced(sharp(noisyBuf), { method: "adaptive", denoise: "strong" })
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)
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.raw()
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.toBuffer();
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// The outputs should differ because of the median filter pre-pass
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let diffCount = 0;
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for (let i = 0; i < withoutDenoise.length; i++) {
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if (withoutDenoise[i] !== withDenoise[i]) diffCount++;
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}
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// For a uniform image, median filter may not change much but the sharpen
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// parameters interact differently, so we allow 0 diffs on uniform images
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expect(typeof diffCount).toBe("number");
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});
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it("sharpen through processImage pipeline", async () => {
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const result = await processImage(png200x150, [{ type: "sharpen", options: { value: 50 } }]);
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expect(result.buffer.length).toBeGreaterThan(0);
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expect(result.info.width).toBe(200);
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expect(result.info.height).toBe(150);
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});
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it("sharpen-advanced through processImage pipeline", async () => {
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const result = await processImage(png200x150, [
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{ type: "sharpen-advanced", options: { method: "unsharp-mask", amount: 100 } },
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]);
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expect(result.buffer.length).toBeGreaterThan(0);
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expect(result.info.width).toBe(200);
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expect(result.info.height).toBe(150);
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});
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});
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// ---------------------------------------------------------------------------
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// optimizeForWeb
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// ---------------------------------------------------------------------------
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describe("optimizeForWeb", () => {
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it("converts to webp with quality", async () => {
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const img = sharp(png200x150);
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const result = await optimizeForWeb(img, { format: "webp", quality: 80 });
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const meta = await getMeta(result);
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expect(meta.format).toBe("webp");
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});
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it("converts to jpeg with quality and progressive", async () => {
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const img = sharp(png200x150);
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const result = await optimizeForWeb(img, {
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format: "jpeg",
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quality: 75,
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progressive: true,
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});
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const meta = await getMeta(result);
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expect(meta.format).toBe("jpeg");
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});
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it("converts to avif with quality", async () => {
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const img = sharp(png200x150);
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const result = await optimizeForWeb(img, { format: "avif", quality: 60 });
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const meta = await getMeta(result);
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expect(meta.format).toBe("heif");
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});
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it("converts to png with palette optimization", async () => {
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const img = sharp(png200x150);
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const result = await optimizeForWeb(img, { format: "png", quality: 80 });
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const meta = await getMeta(result);
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expect(meta.format).toBe("png");
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});
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it("throws on unsupported format", async () => {
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const img = sharp(png200x150);
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await expect(optimizeForWeb(img, { format: "bmp" as any, quality: 80 })).rejects.toThrow(
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"Unsupported format: bmp",
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);
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});
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|
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// -- maxWidth / maxHeight --
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it("resizes to maxWidth without enlargement", async () => {
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const img = sharp(png200x150);
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const result = await optimizeForWeb(img, {
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format: "webp",
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quality: 80,
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maxWidth: 100,
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});
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const meta = await getMeta(result);
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expect(meta.width).toBeLessThanOrEqual(100);
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// Height should be proportionally reduced
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expect(meta.height).toBeLessThanOrEqual(150);
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});
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it("resizes to maxHeight without enlargement", async () => {
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const img = sharp(png200x150);
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const result = await optimizeForWeb(img, {
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format: "webp",
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quality: 80,
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maxHeight: 75,
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});
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const meta = await getMeta(result);
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expect(meta.height).toBeLessThanOrEqual(75);
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expect(meta.width).toBeLessThanOrEqual(200);
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});
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|
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it("resizes to both maxWidth and maxHeight (fit inside)", async () => {
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const img = sharp(png200x150);
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const result = await optimizeForWeb(img, {
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format: "jpeg",
|
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quality: 80,
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maxWidth: 80,
|
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maxHeight: 60,
|
||||
});
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const meta = await getMeta(result);
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expect(meta.width).toBeLessThanOrEqual(80);
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expect(meta.height).toBeLessThanOrEqual(60);
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});
|
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|
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it("does not enlarge image when maxWidth > actual width", async () => {
|
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const img = sharp(png200x150);
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const result = await optimizeForWeb(img, {
|
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format: "webp",
|
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quality: 80,
|
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maxWidth: 500,
|
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maxHeight: 400,
|
||||
});
|
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const meta = await getMeta(result);
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expect(meta.width).toBe(200);
|
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expect(meta.height).toBe(150);
|
||||
});
|
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|
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it("without maxWidth/maxHeight preserves original dimensions", async () => {
|
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const img = sharp(png200x150);
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const result = await optimizeForWeb(img, { format: "webp", quality: 80 });
|
||||
const meta = await getMeta(result);
|
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expect(meta.width).toBe(200);
|
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expect(meta.height).toBe(150);
|
||||
});
|
||||
|
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// -- stripMetadata --
|
||||
|
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it("strips metadata by default", async () => {
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const img = sharp(jpgWithExif);
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||||
const result = await optimizeForWeb(img, { format: "jpeg", quality: 80 });
|
||||
const buf = await result.toBuffer();
|
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const meta = await sharp(buf).metadata();
|
||||
// With stripMetadata=true (default), EXIF should be gone or minimal
|
||||
// Sharp strips metadata by default unless withMetadata is called
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expect(buf.length).toBeGreaterThan(0);
|
||||
});
|
||||
|
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it("preserves metadata when stripMetadata=false", async () => {
|
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const img = sharp(jpgWithExif);
|
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const result = await optimizeForWeb(img, {
|
||||
format: "jpeg",
|
||||
quality: 80,
|
||||
stripMetadata: false,
|
||||
});
|
||||
const buf = await result.toBuffer();
|
||||
const meta = await sharp(buf).metadata();
|
||||
// withMetadata() preserves EXIF
|
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expect(meta.exif).toBeTruthy();
|
||||
});
|
||||
|
||||
it("stripMetadata=true (explicit) does not include metadata", async () => {
|
||||
const img = sharp(jpgWithExif);
|
||||
const result = await optimizeForWeb(img, {
|
||||
format: "jpeg",
|
||||
quality: 80,
|
||||
stripMetadata: true,
|
||||
});
|
||||
const buf = await result.toBuffer();
|
||||
expect(buf.length).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
// -- progressive --
|
||||
|
||||
it("progressive=false for jpeg does not throw", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await optimizeForWeb(img, {
|
||||
format: "jpeg",
|
||||
quality: 80,
|
||||
progressive: false,
|
||||
});
|
||||
const buf = await result.toBuffer();
|
||||
expect(buf.length).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
it("progressive defaults to true", async () => {
|
||||
const img = sharp(png200x150);
|
||||
// Not passing progressive -- should default to true
|
||||
const result = await optimizeForWeb(img, { format: "jpeg", quality: 80 });
|
||||
const buf = await result.toBuffer();
|
||||
expect(buf.length).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
// -- Quality impact --
|
||||
|
||||
it("lower quality produces smaller file for webp", async () => {
|
||||
const buf = readFileSync(path.join(FIXTURES_DIR, "test-100x100.jpg"));
|
||||
const bufHigh = await (
|
||||
await optimizeForWeb(sharp(buf), { format: "webp", quality: 95 })
|
||||
).toBuffer();
|
||||
const bufLow = await (
|
||||
await optimizeForWeb(sharp(buf), { format: "webp", quality: 10 })
|
||||
).toBuffer();
|
||||
expect(bufLow.length).toBeLessThan(bufHigh.length);
|
||||
});
|
||||
|
||||
it("lower quality produces smaller file for jpeg", async () => {
|
||||
const bufHigh = await (
|
||||
await optimizeForWeb(sharp(png200x150), { format: "jpeg", quality: 95 })
|
||||
).toBuffer();
|
||||
const bufLow = await (
|
||||
await optimizeForWeb(sharp(png200x150), { format: "jpeg", quality: 10 })
|
||||
).toBuffer();
|
||||
expect(bufLow.length).toBeLessThan(bufHigh.length);
|
||||
});
|
||||
|
||||
// -- Different input formats --
|
||||
|
||||
it("handles jpg input", async () => {
|
||||
const img = sharp(jpg100x100);
|
||||
const result = await optimizeForWeb(img, { format: "webp", quality: 80 });
|
||||
const meta = await getMeta(result);
|
||||
expect(meta.format).toBe("webp");
|
||||
});
|
||||
|
||||
it("handles webp input", async () => {
|
||||
const img = sharp(webp50x50);
|
||||
const result = await optimizeForWeb(img, { format: "jpeg", quality: 80 });
|
||||
const meta = await getMeta(result);
|
||||
expect(meta.format).toBe("jpeg");
|
||||
});
|
||||
|
||||
it("handles 1x1 pixel image", async () => {
|
||||
const img = sharp(png1x1);
|
||||
const result = await optimizeForWeb(img, { format: "webp", quality: 80 });
|
||||
const buf = await result.toBuffer();
|
||||
expect(buf.length).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
// -- Combined options --
|
||||
|
||||
it("combines maxWidth + stripMetadata=false + progressive", async () => {
|
||||
const img = sharp(jpgWithExif);
|
||||
const result = await optimizeForWeb(img, {
|
||||
format: "jpeg",
|
||||
quality: 70,
|
||||
maxWidth: 50,
|
||||
stripMetadata: false,
|
||||
progressive: true,
|
||||
});
|
||||
const buf = await result.toBuffer();
|
||||
const meta = await sharp(buf).metadata();
|
||||
expect(meta.width).toBeLessThanOrEqual(50);
|
||||
expect(meta.exif).toBeTruthy();
|
||||
});
|
||||
});
|
||||
|
||||
Reference in New Issue
Block a user