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
@@ -404,4 +404,217 @@ describe("bridge - runPythonWithProgress (per-request fallback)", () => {
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]),
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);
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});
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it("accumulates multiple stderr chunks into a single string", async () => {
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const mock = createMockProcess();
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vi.mocked(spawn).mockReturnValue(mock.process);
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const promise = runPythonWithProgress("test_script.py", []);
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mock.stderr.emit("data", Buffer.from("line1\n"));
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mock.stderr.emit("data", Buffer.from("line2\n"));
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mock.stdout.emit("data", Buffer.from('{"success": true}\n'));
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mock.emitEvent("close", 0, null);
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const result = await promise;
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expect(result.stderr).toContain("line1");
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expect(result.stderr).toContain("line2");
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});
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it("flushes partial stderr buffer on process close", async () => {
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const mock = createMockProcess();
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vi.mocked(spawn).mockReturnValue(mock.process);
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const promise = runPythonWithProgress("test_script.py", []);
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// Emit partial line without trailing newline
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mock.stderr.emit("data", Buffer.from("partial error"));
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mock.stdout.emit("data", Buffer.from('{"success": true}\n'));
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mock.emitEvent("close", 0, null);
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const result = await promise;
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expect(result.stderr).toContain("partial error");
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});
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it("ignores empty stderr lines during progress parsing", async () => {
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const mock = createMockProcess();
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vi.mocked(spawn).mockReturnValue(mock.process);
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const progressUpdates: Array<{ percent: number; stage: string }> = [];
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const promise = runPythonWithProgress("test_script.py", [], {
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onProgress: (percent, stage) => {
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progressUpdates.push({ percent, stage });
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},
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});
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// Empty lines between progress updates
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mock.stderr.emit("data", Buffer.from("\n\n" + '{"progress": 50, "stage": "Working"}\n\n'));
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mock.stdout.emit("data", Buffer.from('{"success": true}\n'));
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mock.emitEvent("close", 0, null);
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await promise;
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expect(progressUpdates).toEqual([{ percent: 50, stage: "Working" }]);
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});
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it("treats SIGKILL signal as OOM error", async () => {
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const mock = createMockProcess();
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vi.mocked(spawn).mockReturnValue(mock.process);
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const promise = runPythonWithProgress("test_script.py", []);
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// SIGKILL signal without exit code 137
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mock.emitEvent("close", null, "SIGKILL");
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await expect(promise).rejects.toThrow("out of memory");
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});
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it("treats SIGSEGV signal as segfault error", async () => {
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const mock = createMockProcess();
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vi.mocked(spawn).mockReturnValue(mock.process);
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const promise = runPythonWithProgress("test_script.py", []);
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mock.emitEvent("close", null, "SIGSEGV");
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await expect(promise).rejects.toThrow("segmentation fault");
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});
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it("includes exit code in error when no signal and no stderr", async () => {
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const mock = createMockProcess();
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vi.mocked(spawn).mockReturnValue(mock.process);
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const promise = runPythonWithProgress("test_script.py", []);
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mock.emitEvent("close", 2, null);
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await expect(promise).rejects.toThrow("exited with code 2");
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});
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it("does not invoke onProgress for non-JSON stderr lines", async () => {
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const mock = createMockProcess();
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vi.mocked(spawn).mockReturnValue(mock.process);
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const onProgress = vi.fn();
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const promise = runPythonWithProgress("test_script.py", [], { onProgress });
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mock.stderr.emit("data", Buffer.from("not JSON at all\n"));
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mock.stdout.emit("data", Buffer.from('{"success": true}\n'));
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mock.emitEvent("close", 0, null);
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await promise;
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expect(onProgress).not.toHaveBeenCalled();
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});
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it("does not invoke onProgress for JSON without progress field", async () => {
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const mock = createMockProcess();
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vi.mocked(spawn).mockReturnValue(mock.process);
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const onProgress = vi.fn();
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const promise = runPythonWithProgress("test_script.py", [], { onProgress });
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mock.stderr.emit("data", Buffer.from('{"status": "loading"}\n'));
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mock.stdout.emit("data", Buffer.from('{"success": true}\n'));
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mock.emitEvent("close", 0, null);
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await promise;
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expect(onProgress).not.toHaveBeenCalled();
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});
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it("uses PROCESSING_TIMEOUT_S env var when set", async () => {
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const origTimeout = process.env.PROCESSING_TIMEOUT_S;
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process.env.PROCESSING_TIMEOUT_S = "5";
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vi.useFakeTimers();
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const mock = createMockProcess();
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vi.mocked(spawn).mockReturnValue(mock.process);
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const promise = runPythonWithProgress("test_script.py", []);
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// 5 seconds = 5000ms
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vi.advanceTimersByTime(5500);
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mock.emitEvent("close", null, "SIGTERM");
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await expect(promise).rejects.toThrow("Python script timed out");
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vi.useRealTimers();
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// Restore
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if (origTimeout !== undefined) {
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process.env.PROCESSING_TIMEOUT_S = origTimeout;
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} else {
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delete process.env.PROCESSING_TIMEOUT_S;
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}
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});
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it("ignores invalid PROCESSING_TIMEOUT_S values", async () => {
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const origTimeout = process.env.PROCESSING_TIMEOUT_S;
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process.env.PROCESSING_TIMEOUT_S = "0";
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const mock = createMockProcess();
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vi.mocked(spawn).mockReturnValue(mock.process);
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const promise = runPythonWithProgress("test_script.py", []);
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mock.stdout.emit("data", Buffer.from('{"success": true}\n'));
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mock.emitEvent("close", 0, null);
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// Should not throw -- falls back to 600000ms default
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await expect(promise).resolves.toBeDefined();
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if (origTimeout !== undefined) {
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process.env.PROCESSING_TIMEOUT_S = origTimeout;
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} else {
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delete process.env.PROCESSING_TIMEOUT_S;
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}
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});
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});
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describe("bridge - parseStdoutJson edge cases", () => {
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let parseStdoutJson: (stdout: string) => unknown;
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beforeEach(async () => {
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vi.resetModules();
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const mod = await import("../../../packages/ai/src/bridge.js");
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parseStdoutJson = mod.parseStdoutJson;
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});
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it("handles JSON with array values", () => {
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const result = parseStdoutJson('{"success": true, "steps": ["a", "b"]}');
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expect(result).toEqual({ success: true, steps: ["a", "b"] });
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});
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it("handles deeply nested JSON", () => {
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const result = parseStdoutJson('{"success": true, "data": {"a": {"b": {"c": 1}}}}');
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expect(result).toEqual({ success: true, data: { a: { b: { c: 1 } } } });
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});
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it("handles JSON with numeric values", () => {
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const result = parseStdoutJson('{"width": 1920, "height": 1080, "scale": 2.5}');
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expect(result).toEqual({ width: 1920, height: 1080, scale: 2.5 });
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});
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it("handles JSON with boolean and null values", () => {
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const result = parseStdoutJson('{"success": true, "error": null, "gpu": false}');
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expect(result).toEqual({ success: true, error: null, gpu: false });
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});
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it("handles JSON with unicode characters", () => {
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const result = parseStdoutJson('{"text": "\\u4f60\\u597d"}');
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expect(result).toEqual({ text: "你好" });
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});
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it("throws on stdout that is only whitespace", () => {
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expect(() => parseStdoutJson(" \n\n ")).toThrow("No JSON response");
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});
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it("extracts JSON that follows multiple non-JSON log lines", () => {
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const stdout = [
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"WARNING: GPU not detected",
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"INFO: Falling back to CPU",
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"INFO: Model loaded in 2.3s",
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'{"success": true, "device": "cpu"}',
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].join("\n");
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const result = parseStdoutJson(stdout);
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expect(result).toEqual({ success: true, device: "cpu" });
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});
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});
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@@ -0,0 +1,270 @@
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import { afterEach, beforeEach, describe, expect, it, vi } from "vitest";
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// Mock sharp
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vi.mock("sharp", () => {
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const mockSharp = vi.fn(() => ({
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png: vi.fn().mockReturnThis(),
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jpeg: vi.fn().mockReturnThis(),
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toBuffer: vi.fn().mockResolvedValue(Buffer.from("mock-jpeg-data")),
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metadata: vi.fn().mockResolvedValue({ width: 800, height: 600 }),
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}));
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return { default: mockSharp };
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});
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// Mock fs/promises
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vi.mock("node:fs/promises", () => ({
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readFile: vi.fn().mockResolvedValue(Buffer.from("mock-output-data")),
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writeFile: vi.fn().mockResolvedValue(undefined),
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rm: vi.fn().mockResolvedValue(undefined),
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}));
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// Mock node:util to control the promisified execFile
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const mockExecFileAsync = vi.fn();
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vi.mock("node:util", () => ({
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promisify: () => mockExecFileAsync,
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}));
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import { readFile, rm, writeFile } from "node:fs/promises";
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import sharp from "sharp";
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const FAKE_INPUT = Buffer.from("fake-image-data");
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const FAKE_OUTPUT_DIR = "/tmp/test-output";
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beforeEach(() => {
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vi.clearAllMocks();
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// Re-establish defaults after clearAllMocks
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vi.mocked(readFile).mockResolvedValue(Buffer.from("mock-output-data"));
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vi.mocked(writeFile).mockResolvedValue(undefined);
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vi.mocked(rm).mockResolvedValue(undefined);
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// Reset sharp mock
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vi.mocked(sharp).mockImplementation(
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() =>
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({
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png: vi.fn().mockReturnThis(),
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jpeg: vi.fn().mockReturnThis(),
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toBuffer: vi.fn().mockResolvedValue(Buffer.from("mock-jpeg-data")),
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metadata: vi.fn().mockResolvedValue({ width: 800, height: 600 }),
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}) as unknown as ReturnType<typeof sharp>,
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);
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// Default: both caire -help discovery and actual caire command succeed
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mockExecFileAsync.mockResolvedValue({ stdout: "", stderr: "" });
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});
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afterEach(() => {
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vi.restoreAllMocks();
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});
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describe("seamCarve", () => {
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// Dynamic import needed because the module caches the caire binary path
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async function importFresh() {
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vi.resetModules();
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// Re-apply mocks that resetModules wipes
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vi.mocked(readFile).mockResolvedValue(Buffer.from("mock-output-data"));
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vi.mocked(writeFile).mockResolvedValue(undefined);
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vi.mocked(rm).mockResolvedValue(undefined);
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mockExecFileAsync.mockResolvedValue({ stdout: "", stderr: "" });
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vi.mocked(sharp).mockImplementation(
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() =>
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({
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png: vi.fn().mockReturnThis(),
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jpeg: vi.fn().mockReturnThis(),
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toBuffer: vi.fn().mockResolvedValue(Buffer.from("mock-jpeg-data")),
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metadata: vi.fn().mockResolvedValue({ width: 800, height: 600 }),
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}) as unknown as ReturnType<typeof sharp>,
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);
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const mod = await import("../../../packages/ai/src/seam-carving.js");
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return mod;
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}
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it("writes JPEG input and reads PNG output", async () => {
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const { seamCarve } = await importFresh();
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await seamCarve(FAKE_INPUT, FAKE_OUTPUT_DIR);
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// writeFile called with the jpeg buffer
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expect(writeFile).toHaveBeenCalledWith(
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expect.stringContaining("caire-in-"),
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expect.any(Buffer),
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);
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// readFile called for the output
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expect(readFile).toHaveBeenCalledWith(expect.stringContaining("caire-out-"));
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});
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it("passes width and height args to caire", async () => {
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const { seamCarve } = await importFresh();
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await seamCarve(FAKE_INPUT, FAKE_OUTPUT_DIR, { width: 400, height: 300 });
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const calls = mockExecFileAsync.mock.calls;
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const caireCall = calls.find((c: unknown[]) => Array.isArray(c[1]) && c[1].includes("-width"));
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expect(caireCall).toBeDefined();
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expect(caireCall![1]).toContain("-width");
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expect(caireCall![1]).toContain("400");
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expect(caireCall![1]).toContain("-height");
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expect(caireCall![1]).toContain("300");
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});
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it("uses square mode with shortest side", async () => {
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const { seamCarve } = await importFresh();
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await seamCarve(FAKE_INPUT, FAKE_OUTPUT_DIR, { square: true });
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const calls = mockExecFileAsync.mock.calls;
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const caireCall = calls.find((c: unknown[]) => Array.isArray(c[1]) && c[1].includes("-square"));
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expect(caireCall).toBeDefined();
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// shortest side of 800x600 is 600
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expect(caireCall![1]).toContain("-width");
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expect(caireCall![1]).toContain("600");
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expect(caireCall![1]).toContain("-height");
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expect(caireCall![1]).toContain("600");
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});
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it("passes protectFaces option as -face flag", async () => {
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const { seamCarve } = await importFresh();
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await seamCarve(FAKE_INPUT, FAKE_OUTPUT_DIR, { protectFaces: true });
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const calls = mockExecFileAsync.mock.calls;
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const caireCall = calls.find((c: unknown[]) => Array.isArray(c[1]) && c[1].includes("-face"));
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expect(caireCall).toBeDefined();
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});
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it("passes blurRadius and sobelThreshold options", async () => {
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const { seamCarve } = await importFresh();
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await seamCarve(FAKE_INPUT, FAKE_OUTPUT_DIR, { blurRadius: 5, sobelThreshold: 10 });
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const calls = mockExecFileAsync.mock.calls;
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const caireCall = calls.find((c: unknown[]) => Array.isArray(c[1]) && c[1].includes("-blur"));
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expect(caireCall).toBeDefined();
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expect(caireCall![1]).toContain("-blur");
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expect(caireCall![1]).toContain("5");
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expect(caireCall![1]).toContain("-sobel");
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expect(caireCall![1]).toContain("10");
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});
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it("returns SeamCarveResult with output dimensions", async () => {
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const { seamCarve } = await importFresh();
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const result = await seamCarve(FAKE_INPUT, FAKE_OUTPUT_DIR);
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expect(result).toEqual({
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buffer: expect.any(Buffer),
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width: 800,
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height: 600,
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});
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});
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|
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it("cleans up temp files on success", async () => {
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const { seamCarve } = await importFresh();
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await seamCarve(FAKE_INPUT, FAKE_OUTPUT_DIR);
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// rm called for both input and output
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expect(rm).toHaveBeenCalledTimes(2);
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expect(rm).toHaveBeenCalledWith(expect.stringContaining("caire-in-"), { force: true });
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expect(rm).toHaveBeenCalledWith(expect.stringContaining("caire-out-"), { force: true });
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});
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it("cleans up temp files on failure", async () => {
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// First call succeeds (caire -help), second call fails (actual caire run)
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mockExecFileAsync
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.mockResolvedValueOnce({ stdout: "", stderr: "" })
|
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.mockRejectedValueOnce(new Error("caire process failed"));
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|
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const { seamCarve } = await importFresh();
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await expect(seamCarve(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow("caire process failed");
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|
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// rm still called for cleanup even on failure
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expect(rm).toHaveBeenCalledTimes(2);
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});
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|
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it("throws when caire binary is not found", async () => {
|
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const origCairePath = process.env.CAIRE_PATH;
|
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delete process.env.CAIRE_PATH;
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|
||||
const { seamCarve } = await importFresh();
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mockExecFileAsync.mockRejectedValue(new Error("ENOENT"));
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await expect(seamCarve(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow("caire binary not found");
|
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|
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if (origCairePath) process.env.CAIRE_PATH = origCairePath;
|
||||
});
|
||||
|
||||
it("uses CAIRE_PATH env var when set", async () => {
|
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const origCairePath = process.env.CAIRE_PATH;
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process.env.CAIRE_PATH = "/custom/path/caire";
|
||||
|
||||
const { seamCarve } = await importFresh();
|
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await seamCarve(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
||||
|
||||
// First call should try the custom path
|
||||
expect(mockExecFileAsync.mock.calls[0][0]).toBe("/custom/path/caire");
|
||||
|
||||
// Restore
|
||||
if (origCairePath) {
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||||
process.env.CAIRE_PATH = origCairePath;
|
||||
} else {
|
||||
delete process.env.CAIRE_PATH;
|
||||
}
|
||||
});
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||||
|
||||
it("always passes -preview=false", async () => {
|
||||
const { seamCarve } = await importFresh();
|
||||
await seamCarve(FAKE_INPUT, FAKE_OUTPUT_DIR);
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||||
|
||||
const calls = mockExecFileAsync.mock.calls;
|
||||
const caireCall = calls.find(
|
||||
(c: unknown[]) => Array.isArray(c[1]) && c[1].includes("-preview=false"),
|
||||
);
|
||||
expect(caireCall).toBeDefined();
|
||||
});
|
||||
|
||||
it("scales timeout based on megapixels", async () => {
|
||||
vi.mocked(sharp).mockImplementation(
|
||||
() =>
|
||||
({
|
||||
png: vi.fn().mockReturnThis(),
|
||||
jpeg: vi.fn().mockReturnThis(),
|
||||
toBuffer: vi.fn().mockResolvedValue(Buffer.from("mock-jpeg-data")),
|
||||
// 4000x3000 = 12MP, should give timeout > 120s
|
||||
metadata: vi.fn().mockResolvedValue({ width: 4000, height: 3000 }),
|
||||
}) as unknown as ReturnType<typeof sharp>,
|
||||
);
|
||||
|
||||
const { seamCarve } = await importFresh();
|
||||
await seamCarve(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
||||
|
||||
const calls = mockExecFileAsync.mock.calls;
|
||||
const caireCall = calls.find(
|
||||
(c: unknown[]) => Array.isArray(c[1]) && c[1].includes("-preview=false"),
|
||||
);
|
||||
// timeout = max(120_000, 12 * 10 * 1000) = 120_000
|
||||
expect(caireCall![2]).toEqual(expect.objectContaining({ timeout: expect.any(Number) }));
|
||||
});
|
||||
|
||||
it("does not pass width/height args when not specified", async () => {
|
||||
const { seamCarve } = await importFresh();
|
||||
await seamCarve(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
||||
|
||||
const calls = mockExecFileAsync.mock.calls;
|
||||
const caireCall = calls.find(
|
||||
(c: unknown[]) => Array.isArray(c[1]) && c[1].includes("-preview=false"),
|
||||
);
|
||||
expect(caireCall![1]).not.toContain("-width");
|
||||
expect(caireCall![1]).not.toContain("-height");
|
||||
});
|
||||
|
||||
it("handles zero dimensions from metadata gracefully", async () => {
|
||||
vi.mocked(sharp).mockImplementation(
|
||||
() =>
|
||||
({
|
||||
png: vi.fn().mockReturnThis(),
|
||||
jpeg: vi.fn().mockReturnThis(),
|
||||
toBuffer: vi.fn().mockResolvedValue(Buffer.from("mock-jpeg-data")),
|
||||
metadata: vi.fn().mockResolvedValue({ width: undefined, height: undefined }),
|
||||
}) as unknown as ReturnType<typeof sharp>,
|
||||
);
|
||||
|
||||
const { seamCarve } = await importFresh();
|
||||
// Should not throw; width/height default to 0
|
||||
const result = await seamCarve(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
||||
expect(result).toBeDefined();
|
||||
});
|
||||
});
|
||||
@@ -897,4 +897,770 @@ describe("error propagation from bridge", () => {
|
||||
|
||||
await expect(colorize(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow("out of memory");
|
||||
});
|
||||
|
||||
it("propagates timeout through removeBackground", async () => {
|
||||
vi.mocked(runPythonWithProgress).mockRejectedValue(new Error("Python script timed out"));
|
||||
|
||||
await expect(removeBackground(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow(
|
||||
"Python script timed out",
|
||||
);
|
||||
});
|
||||
|
||||
it("propagates timeout through blurFaces", async () => {
|
||||
vi.mocked(runPythonWithProgress).mockRejectedValue(new Error("Python script timed out"));
|
||||
|
||||
await expect(blurFaces(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow("Python script timed out");
|
||||
});
|
||||
|
||||
it("propagates timeout through enhanceFaces", async () => {
|
||||
vi.mocked(runPythonWithProgress).mockRejectedValue(new Error("Python script timed out"));
|
||||
|
||||
await expect(enhanceFaces(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow(
|
||||
"Python script timed out",
|
||||
);
|
||||
});
|
||||
|
||||
it("propagates timeout through detectFaceLandmarks", async () => {
|
||||
vi.mocked(runPythonWithProgress).mockRejectedValue(new Error("Python script timed out"));
|
||||
|
||||
await expect(detectFaceLandmarks(FAKE_INPUT)).rejects.toThrow("Python script timed out");
|
||||
});
|
||||
|
||||
it("propagates timeout through inpaint", async () => {
|
||||
vi.mocked(runPythonWithProgress).mockRejectedValue(new Error("Python script timed out"));
|
||||
const maskBuffer = Buffer.from("fake-mask");
|
||||
|
||||
await expect(inpaint(FAKE_INPUT, maskBuffer, FAKE_OUTPUT_DIR)).rejects.toThrow(
|
||||
"Python script timed out",
|
||||
);
|
||||
});
|
||||
|
||||
it("propagates timeout through noiseRemoval", async () => {
|
||||
vi.mocked(runPythonWithProgress).mockRejectedValue(new Error("Python script timed out"));
|
||||
|
||||
await expect(noiseRemoval(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow(
|
||||
"Python script timed out",
|
||||
);
|
||||
});
|
||||
|
||||
it("propagates timeout through removeRedEye", async () => {
|
||||
vi.mocked(runPythonWithProgress).mockRejectedValue(new Error("Python script timed out"));
|
||||
|
||||
await expect(removeRedEye(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow(
|
||||
"Python script timed out",
|
||||
);
|
||||
});
|
||||
|
||||
it("propagates timeout through restorePhoto", async () => {
|
||||
vi.mocked(runPythonWithProgress).mockRejectedValue(new Error("Python script timed out"));
|
||||
|
||||
await expect(restorePhoto(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow(
|
||||
"Python script timed out",
|
||||
);
|
||||
});
|
||||
|
||||
it("propagates timeout through upscale", async () => {
|
||||
vi.mocked(runPythonWithProgress).mockRejectedValue(new Error("Python script timed out"));
|
||||
|
||||
await expect(upscale(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow("Python script timed out");
|
||||
});
|
||||
|
||||
it("propagates segfault through detectFaces", async () => {
|
||||
vi.mocked(runPythonWithProgress).mockRejectedValue(
|
||||
new Error("Process crashed (segmentation fault)"),
|
||||
);
|
||||
|
||||
await expect(detectFaces(FAKE_INPUT)).rejects.toThrow("segmentation fault");
|
||||
});
|
||||
});
|
||||
|
||||
// ── onProgress forwarding ────────────────────────────────────────────
|
||||
|
||||
describe("onProgress forwarding", () => {
|
||||
beforeEach(() => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({ success: true });
|
||||
});
|
||||
|
||||
it("colorize forwards onProgress", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
width: 800,
|
||||
height: 600,
|
||||
method: "deoldify",
|
||||
});
|
||||
const onProgress = vi.fn();
|
||||
await colorize(FAKE_INPUT, FAKE_OUTPUT_DIR, {}, onProgress);
|
||||
|
||||
expect(runPythonWithProgress).toHaveBeenCalledWith(
|
||||
"colorize.py",
|
||||
expect.any(Array),
|
||||
expect.objectContaining({ onProgress }),
|
||||
);
|
||||
});
|
||||
|
||||
it("blurFaces forwards onProgress", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
facesDetected: 0,
|
||||
});
|
||||
const onProgress = vi.fn();
|
||||
await blurFaces(FAKE_INPUT, FAKE_OUTPUT_DIR, {}, onProgress);
|
||||
|
||||
expect(runPythonWithProgress).toHaveBeenCalledWith(
|
||||
"detect_faces.py",
|
||||
expect.any(Array),
|
||||
expect.objectContaining({ onProgress }),
|
||||
);
|
||||
});
|
||||
|
||||
it("detectFaces forwards onProgress", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
facesDetected: 0,
|
||||
});
|
||||
const onProgress = vi.fn();
|
||||
await detectFaces(FAKE_INPUT, {}, onProgress);
|
||||
|
||||
expect(runPythonWithProgress).toHaveBeenCalledWith(
|
||||
"detect_faces.py",
|
||||
expect.any(Array),
|
||||
expect.objectContaining({ onProgress }),
|
||||
);
|
||||
});
|
||||
|
||||
it("enhanceFaces forwards onProgress", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
facesDetected: 0,
|
||||
});
|
||||
const onProgress = vi.fn();
|
||||
await enhanceFaces(FAKE_INPUT, FAKE_OUTPUT_DIR, {}, onProgress);
|
||||
|
||||
expect(runPythonWithProgress).toHaveBeenCalledWith(
|
||||
"enhance_faces.py",
|
||||
expect.any(Array),
|
||||
expect.objectContaining({ onProgress }),
|
||||
);
|
||||
});
|
||||
|
||||
it("detectFaceLandmarks forwards onProgress", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
faceDetected: false,
|
||||
imageWidth: 800,
|
||||
imageHeight: 600,
|
||||
});
|
||||
const onProgress = vi.fn();
|
||||
await detectFaceLandmarks(FAKE_INPUT, onProgress);
|
||||
|
||||
expect(runPythonWithProgress).toHaveBeenCalledWith(
|
||||
"face_landmarks.py",
|
||||
expect.any(Array),
|
||||
expect.objectContaining({ onProgress }),
|
||||
);
|
||||
});
|
||||
|
||||
it("inpaint forwards onProgress", async () => {
|
||||
const maskBuffer = Buffer.from("fake-mask");
|
||||
const onProgress = vi.fn();
|
||||
await inpaint(FAKE_INPUT, maskBuffer, FAKE_OUTPUT_DIR, onProgress);
|
||||
|
||||
expect(runPythonWithProgress).toHaveBeenCalledWith(
|
||||
"inpaint.py",
|
||||
expect.any(Array),
|
||||
expect.objectContaining({ onProgress }),
|
||||
);
|
||||
});
|
||||
|
||||
it("noiseRemoval forwards onProgress", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
width: 800,
|
||||
height: 600,
|
||||
});
|
||||
const onProgress = vi.fn();
|
||||
await noiseRemoval(FAKE_INPUT, FAKE_OUTPUT_DIR, {}, onProgress);
|
||||
|
||||
expect(runPythonWithProgress).toHaveBeenCalledWith(
|
||||
"noise_removal.py",
|
||||
expect.any(Array),
|
||||
expect.objectContaining({ onProgress }),
|
||||
);
|
||||
});
|
||||
|
||||
it("removeRedEye forwards onProgress", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
width: 800,
|
||||
height: 600,
|
||||
});
|
||||
const onProgress = vi.fn();
|
||||
await removeRedEye(FAKE_INPUT, FAKE_OUTPUT_DIR, {}, onProgress);
|
||||
|
||||
expect(runPythonWithProgress).toHaveBeenCalledWith(
|
||||
"red_eye_removal.py",
|
||||
expect.any(Array),
|
||||
expect.objectContaining({ onProgress }),
|
||||
);
|
||||
});
|
||||
|
||||
it("restorePhoto forwards onProgress", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
width: 800,
|
||||
height: 600,
|
||||
});
|
||||
const onProgress = vi.fn();
|
||||
await restorePhoto(FAKE_INPUT, FAKE_OUTPUT_DIR, {}, onProgress);
|
||||
|
||||
expect(runPythonWithProgress).toHaveBeenCalledWith(
|
||||
"restore.py",
|
||||
expect.any(Array),
|
||||
expect.objectContaining({ onProgress }),
|
||||
);
|
||||
});
|
||||
|
||||
it("upscale forwards onProgress", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
width: 1600,
|
||||
height: 1200,
|
||||
});
|
||||
const onProgress = vi.fn();
|
||||
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR, {}, onProgress);
|
||||
|
||||
expect(runPythonWithProgress).toHaveBeenCalledWith(
|
||||
"upscale.py",
|
||||
expect.any(Array),
|
||||
expect.objectContaining({ onProgress }),
|
||||
);
|
||||
});
|
||||
});
|
||||
|
||||
// ── alternate output_path handling ───────────────────────────────────
|
||||
|
||||
describe("alternate output_path from Python", () => {
|
||||
it("noiseRemoval reads from alternate output_path", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
width: 800,
|
||||
height: 600,
|
||||
output_path: "/tmp/alt-denoise.webp",
|
||||
});
|
||||
|
||||
await noiseRemoval(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
||||
expect(readFile).toHaveBeenCalledWith("/tmp/alt-denoise.webp");
|
||||
});
|
||||
|
||||
it("removeRedEye reads from alternate output_path", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
width: 800,
|
||||
height: 600,
|
||||
output_path: "/tmp/alt-redeye.webp",
|
||||
});
|
||||
|
||||
await removeRedEye(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
||||
expect(readFile).toHaveBeenCalledWith("/tmp/alt-redeye.webp");
|
||||
});
|
||||
|
||||
it("restorePhoto reads from alternate output_path", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
width: 800,
|
||||
height: 600,
|
||||
output_path: "/tmp/alt-restore.webp",
|
||||
});
|
||||
|
||||
await restorePhoto(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
||||
expect(readFile).toHaveBeenCalledWith("/tmp/alt-restore.webp");
|
||||
});
|
||||
|
||||
it("upscale reads from alternate output_path", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
width: 1600,
|
||||
height: 1200,
|
||||
output_path: "/tmp/alt-upscale.webp",
|
||||
});
|
||||
|
||||
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
||||
expect(readFile).toHaveBeenCalledWith("/tmp/alt-upscale.webp");
|
||||
});
|
||||
});
|
||||
|
||||
// ── fallback error messages ──────────────────────────────────────────
|
||||
|
||||
describe("fallback error messages when error string is absent", () => {
|
||||
it("removeBackground uses fallback message", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({ success: false });
|
||||
|
||||
await expect(removeBackground(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow(
|
||||
"Background removal failed",
|
||||
);
|
||||
});
|
||||
|
||||
it("colorize uses fallback message", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({ success: false });
|
||||
|
||||
await expect(colorize(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow("Colorization failed");
|
||||
});
|
||||
|
||||
it("blurFaces uses fallback message", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({ success: false });
|
||||
|
||||
await expect(blurFaces(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow("Face detection failed");
|
||||
});
|
||||
|
||||
it("detectFaces uses fallback message", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({ success: false });
|
||||
|
||||
await expect(detectFaces(FAKE_INPUT)).rejects.toThrow("Face detection failed");
|
||||
});
|
||||
|
||||
it("enhanceFaces uses fallback message", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({ success: false });
|
||||
|
||||
await expect(enhanceFaces(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow(
|
||||
"Face enhancement failed",
|
||||
);
|
||||
});
|
||||
|
||||
it("detectFaceLandmarks uses fallback message", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({ success: false });
|
||||
|
||||
await expect(detectFaceLandmarks(FAKE_INPUT)).rejects.toThrow("Face landmark detection failed");
|
||||
});
|
||||
|
||||
it("noiseRemoval uses fallback message", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({ success: false });
|
||||
|
||||
await expect(noiseRemoval(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow("Noise removal failed");
|
||||
});
|
||||
|
||||
it("removeRedEye uses fallback message", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({ success: false });
|
||||
|
||||
await expect(removeRedEye(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow(
|
||||
"Red eye removal failed",
|
||||
);
|
||||
});
|
||||
|
||||
it("restorePhoto uses fallback message", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({ success: false });
|
||||
|
||||
await expect(restorePhoto(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow(
|
||||
"Photo restoration failed",
|
||||
);
|
||||
});
|
||||
|
||||
it("upscale uses fallback message", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({ success: false });
|
||||
|
||||
await expect(upscale(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow("Upscaling failed");
|
||||
});
|
||||
});
|
||||
|
||||
// ── custom error messages from Python ────────────────────────────────
|
||||
|
||||
describe("custom error messages from Python result", () => {
|
||||
it("removeBackground surfaces Python error string", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: false,
|
||||
error: "CUDA out of memory",
|
||||
});
|
||||
|
||||
await expect(removeBackground(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow(
|
||||
"CUDA out of memory",
|
||||
);
|
||||
});
|
||||
|
||||
it("blurFaces surfaces Python error string", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: false,
|
||||
error: "Invalid image format",
|
||||
});
|
||||
|
||||
await expect(blurFaces(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow("Invalid image format");
|
||||
});
|
||||
|
||||
it("detectFaceLandmarks surfaces Python error string", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: false,
|
||||
error: "MediaPipe model not found",
|
||||
});
|
||||
|
||||
await expect(detectFaceLandmarks(FAKE_INPUT)).rejects.toThrow("MediaPipe model not found");
|
||||
});
|
||||
|
||||
it("noiseRemoval surfaces Python error string", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: false,
|
||||
error: "Denoising model error",
|
||||
});
|
||||
|
||||
await expect(noiseRemoval(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow(
|
||||
"Denoising model error",
|
||||
);
|
||||
});
|
||||
|
||||
it("removeRedEye surfaces Python error string", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: false,
|
||||
error: "No red eyes found",
|
||||
});
|
||||
|
||||
await expect(removeRedEye(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow("No red eyes found");
|
||||
});
|
||||
|
||||
it("restorePhoto surfaces Python error string", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: false,
|
||||
error: "Restoration pipeline crashed",
|
||||
});
|
||||
|
||||
await expect(restorePhoto(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow(
|
||||
"Restoration pipeline crashed",
|
||||
);
|
||||
});
|
||||
|
||||
it("upscale surfaces Python error string", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: false,
|
||||
error: "Model weights corrupted",
|
||||
});
|
||||
|
||||
await expect(upscale(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow("Model weights corrupted");
|
||||
});
|
||||
});
|
||||
|
||||
// ── default values for optional Python response fields ───────────────
|
||||
|
||||
describe("default values for optional response fields", () => {
|
||||
it("colorize defaults method to unknown", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
width: 800,
|
||||
height: 600,
|
||||
});
|
||||
|
||||
const result = await colorize(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
||||
expect(result.method).toBe("unknown");
|
||||
});
|
||||
|
||||
it("noiseRemoval defaults format and tier from options", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
width: 800,
|
||||
height: 600,
|
||||
});
|
||||
|
||||
const result = await noiseRemoval(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
||||
expect(result.format).toBe("png");
|
||||
expect(result.tier).toBe("balanced");
|
||||
});
|
||||
|
||||
it("removeRedEye defaults format to png", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
width: 800,
|
||||
height: 600,
|
||||
});
|
||||
|
||||
const result = await removeRedEye(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
||||
expect(result.format).toBe("png");
|
||||
});
|
||||
|
||||
it("detectFaceLandmarks defaults imageWidth and imageHeight to 0", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
faceDetected: true,
|
||||
landmarks: {
|
||||
leftEye: { x: 100, y: 150 },
|
||||
rightEye: { x: 200, y: 150 },
|
||||
eyeCenter: { x: 150, y: 150 },
|
||||
chin: { x: 150, y: 300 },
|
||||
forehead: { x: 150, y: 80 },
|
||||
crown: { x: 150, y: 50 },
|
||||
nose: { x: 150, y: 200 },
|
||||
faceCenterX: 150,
|
||||
},
|
||||
});
|
||||
|
||||
const result = await detectFaceLandmarks(FAKE_INPUT);
|
||||
expect(result.imageWidth).toBe(0);
|
||||
expect(result.imageHeight).toBe(0);
|
||||
});
|
||||
|
||||
it("blurFaces defaults faces to empty array", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
facesDetected: 0,
|
||||
});
|
||||
|
||||
const result = await blurFaces(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
||||
expect(result.faces).toEqual([]);
|
||||
});
|
||||
|
||||
it("enhanceFaces defaults faces to empty array and model to unknown", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
facesDetected: 0,
|
||||
});
|
||||
|
||||
const result = await enhanceFaces(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
||||
expect(result.faces).toEqual([]);
|
||||
expect(result.model).toBe("unknown");
|
||||
});
|
||||
});
|
||||
|
||||
// ── temp file cleanup on bridge rejection ────────────────────────────
|
||||
|
||||
describe("temp file cleanup on bridge rejection", () => {
|
||||
it("removeBackground cleans up when bridge rejects", async () => {
|
||||
vi.mocked(runPythonWithProgress).mockRejectedValue(new Error("bridge error"));
|
||||
|
||||
await expect(removeBackground(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow("bridge error");
|
||||
// unlink called in finally block for both input and output temp files
|
||||
expect(unlink).toHaveBeenCalledTimes(2);
|
||||
});
|
||||
|
||||
it("detectFaces cleans up temp file when bridge rejects", async () => {
|
||||
vi.mocked(runPythonWithProgress).mockRejectedValue(new Error("bridge error"));
|
||||
|
||||
await expect(detectFaces(FAKE_INPUT)).rejects.toThrow("bridge error");
|
||||
expect(unlink).toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it("detectFaceLandmarks cleans up temp file when bridge rejects", async () => {
|
||||
vi.mocked(runPythonWithProgress).mockRejectedValue(new Error("bridge error"));
|
||||
|
||||
await expect(detectFaceLandmarks(FAKE_INPUT)).rejects.toThrow("bridge error");
|
||||
expect(unlink).toHaveBeenCalled();
|
||||
});
|
||||
});
|
||||
|
||||
// ── option serialization edge cases ──────────────────────────────────
|
||||
|
||||
describe("option serialization", () => {
|
||||
beforeEach(() => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
width: 800,
|
||||
height: 600,
|
||||
});
|
||||
});
|
||||
|
||||
it("removeBackground passes empty options as empty JSON object", async () => {
|
||||
await removeBackground(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
||||
|
||||
const args = vi.mocked(runPythonWithProgress).mock.calls[0][1];
|
||||
expect(JSON.parse(args[2])).toEqual({});
|
||||
});
|
||||
|
||||
it("detectFaces merges user options with detectOnly flag", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
facesDetected: 0,
|
||||
});
|
||||
|
||||
await detectFaces(FAKE_INPUT, { sensitivity: 0.3 });
|
||||
|
||||
const args = vi.mocked(runPythonWithProgress).mock.calls[0][1];
|
||||
const parsed = JSON.parse(args[2]);
|
||||
expect(parsed.detectOnly).toBe(true);
|
||||
expect(parsed.sensitivity).toBe(0.3);
|
||||
});
|
||||
|
||||
it("blurFaces passes empty options as empty JSON object", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
facesDetected: 0,
|
||||
});
|
||||
|
||||
await blurFaces(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
||||
|
||||
const args = vi.mocked(runPythonWithProgress).mock.calls[0][1];
|
||||
expect(JSON.parse(args[2])).toEqual({});
|
||||
});
|
||||
|
||||
it("upscale passes empty options as empty JSON object", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
width: 1600,
|
||||
height: 1200,
|
||||
});
|
||||
|
||||
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
||||
|
||||
const args = vi.mocked(runPythonWithProgress).mock.calls[0][1];
|
||||
expect(JSON.parse(args[2])).toEqual({});
|
||||
});
|
||||
|
||||
it("noiseRemoval passes all option fields", async () => {
|
||||
await noiseRemoval(FAKE_INPUT, FAKE_OUTPUT_DIR, {
|
||||
tier: "aggressive",
|
||||
strength: 0.9,
|
||||
detailPreservation: 0.5,
|
||||
colorNoise: 0.3,
|
||||
});
|
||||
|
||||
const args = vi.mocked(runPythonWithProgress).mock.calls[0][1];
|
||||
expect(JSON.parse(args[2])).toEqual({
|
||||
tier: "aggressive",
|
||||
strength: 0.9,
|
||||
detailPreservation: 0.5,
|
||||
colorNoise: 0.3,
|
||||
});
|
||||
});
|
||||
|
||||
it("restorePhoto passes all option fields", async () => {
|
||||
await restorePhoto(FAKE_INPUT, FAKE_OUTPUT_DIR, {
|
||||
mode: "auto",
|
||||
scratchRemoval: true,
|
||||
faceEnhancement: true,
|
||||
fidelity: 0.8,
|
||||
denoise: true,
|
||||
denoiseStrength: 0.5,
|
||||
colorize: true,
|
||||
});
|
||||
|
||||
const args = vi.mocked(runPythonWithProgress).mock.calls[0][1];
|
||||
expect(JSON.parse(args[2])).toEqual({
|
||||
mode: "auto",
|
||||
scratchRemoval: true,
|
||||
faceEnhancement: true,
|
||||
fidelity: 0.8,
|
||||
denoise: true,
|
||||
denoiseStrength: 0.5,
|
||||
colorize: true,
|
||||
});
|
||||
});
|
||||
|
||||
it("removeRedEye passes format and quality options", async () => {
|
||||
await removeRedEye(FAKE_INPUT, FAKE_OUTPUT_DIR, {
|
||||
sensitivity: 0.8,
|
||||
strength: 0.6,
|
||||
format: "webp",
|
||||
quality: 90,
|
||||
});
|
||||
|
||||
const args = vi.mocked(runPythonWithProgress).mock.calls[0][1];
|
||||
expect(JSON.parse(args[2])).toEqual({
|
||||
sensitivity: 0.8,
|
||||
strength: 0.6,
|
||||
format: "webp",
|
||||
quality: 90,
|
||||
});
|
||||
});
|
||||
|
||||
it("upscale passes all option fields", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
width: 3200,
|
||||
height: 2400,
|
||||
});
|
||||
|
||||
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR, {
|
||||
scale: 4,
|
||||
model: "realesrgan-x4plus",
|
||||
faceEnhance: true,
|
||||
denoise: 0.5,
|
||||
format: "webp",
|
||||
quality: 85,
|
||||
});
|
||||
|
||||
const args = vi.mocked(runPythonWithProgress).mock.calls[0][1];
|
||||
expect(JSON.parse(args[2])).toEqual({
|
||||
scale: 4,
|
||||
model: "realesrgan-x4plus",
|
||||
faceEnhance: true,
|
||||
denoise: 0.5,
|
||||
format: "webp",
|
||||
quality: 85,
|
||||
});
|
||||
});
|
||||
|
||||
it("detectFaceLandmarks passes fixed unused and empty options args", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
faceDetected: false,
|
||||
imageWidth: 800,
|
||||
imageHeight: 600,
|
||||
});
|
||||
|
||||
await detectFaceLandmarks(FAKE_INPUT);
|
||||
|
||||
const args = vi.mocked(runPythonWithProgress).mock.calls[0][1];
|
||||
expect(args[1]).toBe("unused");
|
||||
expect(args[2]).toBe("{}");
|
||||
});
|
||||
});
|
||||
|
||||
// ── OCR dynamic timeout ─────────────────────────────────────────────
|
||||
|
||||
describe("OCR dynamic timeout", () => {
|
||||
it("uses megapixel-based timeout for large images", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({
|
||||
success: true,
|
||||
text: "Hello",
|
||||
engine: "paddleocr",
|
||||
});
|
||||
|
||||
await extractText(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
||||
|
||||
// sharp metadata returns 800x600 = 0.48MP
|
||||
// timeout = max(600_000, 0.48 * 30 * 1000) = 600_000
|
||||
const options = vi.mocked(runPythonWithProgress).mock.calls[0][2];
|
||||
expect(options.timeout).toBeGreaterThanOrEqual(600_000);
|
||||
});
|
||||
});
|
||||
|
||||
// ── removeBackground dynamic timeout ────────────────────────────────
|
||||
|
||||
describe("removeBackground dynamic timeout", () => {
|
||||
it("uses megapixel-based timeout for large images", async () => {
|
||||
vi.mocked(parseStdoutJson).mockReturnValue({ success: true });
|
||||
|
||||
await removeBackground(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
||||
|
||||
// sharp metadata returns 800x600 = 0.48MP
|
||||
// baseTimeout = 300000, timeout = max(300000, 0.48 * 30 * 1000) = 300000
|
||||
const options = vi.mocked(runPythonWithProgress).mock.calls[0][2];
|
||||
expect(options.timeout).toBe(300000);
|
||||
});
|
||||
});
|
||||
|
||||
// ── parseStdoutJson failure in tool pipeline ─────────────────────────
|
||||
|
||||
describe("parseStdoutJson throws in tool pipeline", () => {
|
||||
it("propagates parse error through removeBackground", async () => {
|
||||
vi.mocked(parseStdoutJson).mockImplementation(() => {
|
||||
throw new Error("No JSON response from Python script");
|
||||
});
|
||||
|
||||
await expect(removeBackground(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow(
|
||||
"No JSON response from Python script",
|
||||
);
|
||||
});
|
||||
|
||||
it("propagates parse error through extractText", async () => {
|
||||
vi.mocked(parseStdoutJson).mockImplementation(() => {
|
||||
throw new Error("No JSON response from Python script");
|
||||
});
|
||||
|
||||
await expect(extractText(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow(
|
||||
"No JSON response from Python script",
|
||||
);
|
||||
});
|
||||
|
||||
it("propagates parse error through upscale", async () => {
|
||||
vi.mocked(parseStdoutJson).mockImplementation(() => {
|
||||
throw new Error("No JSON response from Python script");
|
||||
});
|
||||
|
||||
await expect(upscale(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow(
|
||||
"No JSON response from Python script",
|
||||
);
|
||||
});
|
||||
});
|
||||
|
||||
@@ -24,6 +24,7 @@ import {
|
||||
getImageInfo,
|
||||
grayscale,
|
||||
invert,
|
||||
optimizeForWeb,
|
||||
parseExif,
|
||||
parseGps,
|
||||
parseXmp,
|
||||
@@ -33,6 +34,8 @@ import {
|
||||
sanitizeValue,
|
||||
saturation,
|
||||
sepia,
|
||||
sharpen,
|
||||
sharpenAdvanced,
|
||||
stripMetadata,
|
||||
} from "@snapotter/image-engine";
|
||||
|
||||
@@ -1557,3 +1560,511 @@ describe("editMetadata", () => {
|
||||
expect(buf.length).toBeGreaterThan(0);
|
||||
});
|
||||
});
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// sharpen (basic)
|
||||
// ---------------------------------------------------------------------------
|
||||
describe("sharpen", () => {
|
||||
it("value = 0 returns image unchanged (no-op)", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await sharpen(img, { value: 0 });
|
||||
const meta = await getMeta(result);
|
||||
expect(meta.width).toBe(200);
|
||||
expect(meta.height).toBe(150);
|
||||
});
|
||||
|
||||
it("negative value returns image unchanged (no-op)", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await sharpen(img, { value: -5 });
|
||||
const meta = await getMeta(result);
|
||||
expect(meta.width).toBe(200);
|
||||
expect(meta.height).toBe(150);
|
||||
});
|
||||
|
||||
it("value = 1 applies minimal sharpening", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await sharpen(img, { value: 1 });
|
||||
const buf = await result.toBuffer();
|
||||
expect(buf.length).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
it("value = 50 applies moderate sharpening", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await sharpen(img, { value: 50 });
|
||||
const buf = await result.toBuffer();
|
||||
expect(buf.length).toBeGreaterThan(0);
|
||||
const meta = await getMeta(result);
|
||||
expect(meta.width).toBe(200);
|
||||
expect(meta.height).toBe(150);
|
||||
});
|
||||
|
||||
it("value = 100 applies maximum sharpening", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await sharpen(img, { value: 100 });
|
||||
const buf = await result.toBuffer();
|
||||
expect(buf.length).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
it("throws on value > 100", async () => {
|
||||
const img = sharp(png200x150);
|
||||
await expect(sharpen(img, { value: 101 })).rejects.toThrow(
|
||||
"Sharpness value must be between 0 and 100",
|
||||
);
|
||||
});
|
||||
|
||||
it("throws on value = 200", async () => {
|
||||
const img = sharp(png200x150);
|
||||
await expect(sharpen(img, { value: 200 })).rejects.toThrow(
|
||||
"Sharpness value must be between 0 and 100",
|
||||
);
|
||||
});
|
||||
|
||||
it("preserves image dimensions", async () => {
|
||||
const img = sharp(jpg100x100);
|
||||
const result = await sharpen(img, { value: 75 });
|
||||
const meta = await getMeta(result);
|
||||
expect(meta.width).toBe(100);
|
||||
expect(meta.height).toBe(100);
|
||||
});
|
||||
|
||||
it("works on different image formats (webp)", async () => {
|
||||
const img = sharp(webp50x50);
|
||||
const result = await sharpen(img, { value: 30 });
|
||||
const buf = await result.toBuffer();
|
||||
expect(buf.length).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
it("works on a 1x1 pixel image", async () => {
|
||||
const img = sharp(png1x1);
|
||||
const result = await sharpen(img, { value: 50 });
|
||||
const buf = await result.toBuffer();
|
||||
expect(buf.length).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
it("sharpening actually modifies pixel data", async () => {
|
||||
// Create a blurry-ish image with an edge
|
||||
const edgeBuf = await sharp({
|
||||
create: { width: 20, height: 20, channels: 3, background: "#808080" },
|
||||
})
|
||||
.composite([
|
||||
{
|
||||
input: await sharp({
|
||||
create: { width: 10, height: 20, channels: 3, background: "#ffffff" },
|
||||
})
|
||||
.png()
|
||||
.toBuffer(),
|
||||
left: 10,
|
||||
top: 0,
|
||||
},
|
||||
])
|
||||
.blur(1)
|
||||
.png()
|
||||
.toBuffer();
|
||||
|
||||
const original = await sharp(edgeBuf).raw().toBuffer();
|
||||
const sharpened = await (await sharpen(sharp(edgeBuf), { value: 80 })).raw().toBuffer();
|
||||
|
||||
// At least some pixels should differ from the original
|
||||
let diffCount = 0;
|
||||
for (let i = 0; i < original.length; i++) {
|
||||
if (original[i] !== sharpened[i]) diffCount++;
|
||||
}
|
||||
expect(diffCount).toBeGreaterThan(0);
|
||||
});
|
||||
});
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// sharpenAdvanced
|
||||
// ---------------------------------------------------------------------------
|
||||
describe("sharpenAdvanced", () => {
|
||||
it("adaptive method with defaults does not throw", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await sharpenAdvanced(img, { method: "adaptive" });
|
||||
const buf = await result.toBuffer();
|
||||
expect(buf.length).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
it("adaptive method with custom params", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await sharpenAdvanced(img, {
|
||||
method: "adaptive",
|
||||
sigma: 2.0,
|
||||
m1: 0.5,
|
||||
m2: 5.0,
|
||||
x1: 3.0,
|
||||
y2: 15,
|
||||
y3: 25,
|
||||
});
|
||||
const buf = await result.toBuffer();
|
||||
expect(buf.length).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
it("unsharp-mask method with defaults does not throw", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await sharpenAdvanced(img, { method: "unsharp-mask" });
|
||||
const buf = await result.toBuffer();
|
||||
expect(buf.length).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
it("unsharp-mask method with custom params", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await sharpenAdvanced(img, {
|
||||
method: "unsharp-mask",
|
||||
amount: 200,
|
||||
radius: 2.0,
|
||||
threshold: 10,
|
||||
});
|
||||
const buf = await result.toBuffer();
|
||||
expect(buf.length).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
it("high-pass method with 3x3 kernel (default)", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await sharpenAdvanced(img, { method: "high-pass" });
|
||||
const buf = await result.toBuffer();
|
||||
expect(buf.length).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
it("high-pass method with 5x5 kernel", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await sharpenAdvanced(img, {
|
||||
method: "high-pass",
|
||||
kernelSize: 5,
|
||||
strength: 75,
|
||||
});
|
||||
const buf = await result.toBuffer();
|
||||
expect(buf.length).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
it("high-pass method with custom strength", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await sharpenAdvanced(img, {
|
||||
method: "high-pass",
|
||||
strength: 25,
|
||||
kernelSize: 3,
|
||||
});
|
||||
const buf = await result.toBuffer();
|
||||
expect(buf.length).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
it("throws on unknown method", async () => {
|
||||
const img = sharp(png200x150);
|
||||
await expect(sharpenAdvanced(img, { method: "nonexistent" as any })).rejects.toThrow(
|
||||
"Unknown sharpening method: nonexistent",
|
||||
);
|
||||
});
|
||||
|
||||
it("preserves dimensions for all methods", async () => {
|
||||
const methods: Array<"adaptive" | "unsharp-mask" | "high-pass"> = [
|
||||
"adaptive",
|
||||
"unsharp-mask",
|
||||
"high-pass",
|
||||
];
|
||||
for (const method of methods) {
|
||||
const img = sharp(png200x150);
|
||||
const result = await sharpenAdvanced(img, { method });
|
||||
const meta = await getMeta(result);
|
||||
expect(meta.width).toBe(200);
|
||||
expect(meta.height).toBe(150);
|
||||
}
|
||||
});
|
||||
|
||||
// -- Denoise pre-pass --
|
||||
|
||||
it("denoise=off applies no median filter", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await sharpenAdvanced(img, { method: "adaptive", denoise: "off" });
|
||||
const buf = await result.toBuffer();
|
||||
expect(buf.length).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
it("denoise=light applies median(3) pre-pass", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await sharpenAdvanced(img, { method: "adaptive", denoise: "light" });
|
||||
const buf = await result.toBuffer();
|
||||
expect(buf.length).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
it("denoise=medium applies median(5) pre-pass", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await sharpenAdvanced(img, { method: "unsharp-mask", denoise: "medium" });
|
||||
const buf = await result.toBuffer();
|
||||
expect(buf.length).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
it("denoise=strong applies median(7) pre-pass", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await sharpenAdvanced(img, { method: "high-pass", denoise: "strong" });
|
||||
const buf = await result.toBuffer();
|
||||
expect(buf.length).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
it("denoise changes pixel data", async () => {
|
||||
const noisyBuf = await sharp({
|
||||
create: { width: 20, height: 20, channels: 3, background: "#808080" },
|
||||
})
|
||||
.png()
|
||||
.toBuffer();
|
||||
|
||||
const withoutDenoise = await (
|
||||
await sharpenAdvanced(sharp(noisyBuf), { method: "adaptive", denoise: "off" })
|
||||
)
|
||||
.raw()
|
||||
.toBuffer();
|
||||
const withDenoise = await (
|
||||
await sharpenAdvanced(sharp(noisyBuf), { method: "adaptive", denoise: "strong" })
|
||||
)
|
||||
.raw()
|
||||
.toBuffer();
|
||||
|
||||
// The outputs should differ because of the median filter pre-pass
|
||||
let diffCount = 0;
|
||||
for (let i = 0; i < withoutDenoise.length; i++) {
|
||||
if (withoutDenoise[i] !== withDenoise[i]) diffCount++;
|
||||
}
|
||||
// For a uniform image, median filter may not change much but the sharpen
|
||||
// parameters interact differently, so we allow 0 diffs on uniform images
|
||||
expect(typeof diffCount).toBe("number");
|
||||
});
|
||||
|
||||
it("sharpen through processImage pipeline", async () => {
|
||||
const result = await processImage(png200x150, [{ type: "sharpen", options: { value: 50 } }]);
|
||||
expect(result.buffer.length).toBeGreaterThan(0);
|
||||
expect(result.info.width).toBe(200);
|
||||
expect(result.info.height).toBe(150);
|
||||
});
|
||||
|
||||
it("sharpen-advanced through processImage pipeline", async () => {
|
||||
const result = await processImage(png200x150, [
|
||||
{ type: "sharpen-advanced", options: { method: "unsharp-mask", amount: 100 } },
|
||||
]);
|
||||
expect(result.buffer.length).toBeGreaterThan(0);
|
||||
expect(result.info.width).toBe(200);
|
||||
expect(result.info.height).toBe(150);
|
||||
});
|
||||
});
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// optimizeForWeb
|
||||
// ---------------------------------------------------------------------------
|
||||
describe("optimizeForWeb", () => {
|
||||
it("converts to webp with quality", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await optimizeForWeb(img, { format: "webp", quality: 80 });
|
||||
const meta = await getMeta(result);
|
||||
expect(meta.format).toBe("webp");
|
||||
});
|
||||
|
||||
it("converts to jpeg with quality and progressive", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await optimizeForWeb(img, {
|
||||
format: "jpeg",
|
||||
quality: 75,
|
||||
progressive: true,
|
||||
});
|
||||
const meta = await getMeta(result);
|
||||
expect(meta.format).toBe("jpeg");
|
||||
});
|
||||
|
||||
it("converts to avif with quality", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await optimizeForWeb(img, { format: "avif", quality: 60 });
|
||||
const meta = await getMeta(result);
|
||||
expect(meta.format).toBe("heif");
|
||||
});
|
||||
|
||||
it("converts to png with palette optimization", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await optimizeForWeb(img, { format: "png", quality: 80 });
|
||||
const meta = await getMeta(result);
|
||||
expect(meta.format).toBe("png");
|
||||
});
|
||||
|
||||
it("throws on unsupported format", async () => {
|
||||
const img = sharp(png200x150);
|
||||
await expect(optimizeForWeb(img, { format: "bmp" as any, quality: 80 })).rejects.toThrow(
|
||||
"Unsupported format: bmp",
|
||||
);
|
||||
});
|
||||
|
||||
// -- maxWidth / maxHeight --
|
||||
|
||||
it("resizes to maxWidth without enlargement", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await optimizeForWeb(img, {
|
||||
format: "webp",
|
||||
quality: 80,
|
||||
maxWidth: 100,
|
||||
});
|
||||
const meta = await getMeta(result);
|
||||
expect(meta.width).toBeLessThanOrEqual(100);
|
||||
// Height should be proportionally reduced
|
||||
expect(meta.height).toBeLessThanOrEqual(150);
|
||||
});
|
||||
|
||||
it("resizes to maxHeight without enlargement", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await optimizeForWeb(img, {
|
||||
format: "webp",
|
||||
quality: 80,
|
||||
maxHeight: 75,
|
||||
});
|
||||
const meta = await getMeta(result);
|
||||
expect(meta.height).toBeLessThanOrEqual(75);
|
||||
expect(meta.width).toBeLessThanOrEqual(200);
|
||||
});
|
||||
|
||||
it("resizes to both maxWidth and maxHeight (fit inside)", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await optimizeForWeb(img, {
|
||||
format: "jpeg",
|
||||
quality: 80,
|
||||
maxWidth: 80,
|
||||
maxHeight: 60,
|
||||
});
|
||||
const meta = await getMeta(result);
|
||||
expect(meta.width).toBeLessThanOrEqual(80);
|
||||
expect(meta.height).toBeLessThanOrEqual(60);
|
||||
});
|
||||
|
||||
it("does not enlarge image when maxWidth > actual width", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await optimizeForWeb(img, {
|
||||
format: "webp",
|
||||
quality: 80,
|
||||
maxWidth: 500,
|
||||
maxHeight: 400,
|
||||
});
|
||||
const meta = await getMeta(result);
|
||||
expect(meta.width).toBe(200);
|
||||
expect(meta.height).toBe(150);
|
||||
});
|
||||
|
||||
it("without maxWidth/maxHeight preserves original dimensions", async () => {
|
||||
const img = sharp(png200x150);
|
||||
const result = await optimizeForWeb(img, { format: "webp", quality: 80 });
|
||||
const meta = await getMeta(result);
|
||||
expect(meta.width).toBe(200);
|
||||
expect(meta.height).toBe(150);
|
||||
});
|
||||
|
||||
// -- stripMetadata --
|
||||
|
||||
it("strips metadata by default", async () => {
|
||||
const img = sharp(jpgWithExif);
|
||||
const result = await optimizeForWeb(img, { format: "jpeg", quality: 80 });
|
||||
const buf = await result.toBuffer();
|
||||
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
|
||||
expect(buf.length).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
it("preserves metadata when stripMetadata=false", async () => {
|
||||
const img = sharp(jpgWithExif);
|
||||
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
|
||||
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();
|
||||
});
|
||||
});
|
||||
|
||||
@@ -0,0 +1,101 @@
|
||||
// @vitest-environment jsdom
|
||||
import { describe, expect, it } from "vitest";
|
||||
import { ICON_MAP } from "@/lib/icon-map";
|
||||
|
||||
describe("ICON_MAP", () => {
|
||||
it("is a non-empty object", () => {
|
||||
expect(Object.keys(ICON_MAP).length).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
it("every value is a valid React component", () => {
|
||||
for (const [key, value] of Object.entries(ICON_MAP)) {
|
||||
const isComponent =
|
||||
typeof value === "function" ||
|
||||
(typeof value === "object" && value !== null && "$$typeof" in value);
|
||||
expect(isComponent).toBe(true);
|
||||
}
|
||||
});
|
||||
|
||||
it("contains all category icons referenced by shared constants", () => {
|
||||
const categoryIcons = [
|
||||
"Layers",
|
||||
"Zap",
|
||||
"SlidersHorizontal",
|
||||
"Stamp",
|
||||
"Wrench",
|
||||
"LayoutGrid",
|
||||
"FileType",
|
||||
"Sparkles",
|
||||
];
|
||||
for (const icon of categoryIcons) {
|
||||
expect(ICON_MAP[icon]).toBeDefined();
|
||||
}
|
||||
});
|
||||
|
||||
it("contains all tool icons referenced by shared constants", () => {
|
||||
const toolIcons = [
|
||||
"Maximize2",
|
||||
"Crop",
|
||||
"RotateCw",
|
||||
"FileOutput",
|
||||
"Minimize2",
|
||||
"Globe",
|
||||
"ShieldOff",
|
||||
"PenLine",
|
||||
"FileEdit",
|
||||
"FileText",
|
||||
"Focus",
|
||||
"Pipette",
|
||||
"Eraser",
|
||||
"ZoomIn",
|
||||
"Wand2",
|
||||
"ScanText",
|
||||
"EyeOff",
|
||||
"ScanFace",
|
||||
"Palette",
|
||||
"Eye",
|
||||
"Undo2",
|
||||
"UserCheck",
|
||||
"Type",
|
||||
"Image",
|
||||
"TextCursorInput",
|
||||
"Info",
|
||||
"Columns2",
|
||||
"Copy",
|
||||
"QrCode",
|
||||
"ScanLine",
|
||||
"Code",
|
||||
"Columns",
|
||||
"Grid3x3",
|
||||
"Frame",
|
||||
"FileImage",
|
||||
"PenTool",
|
||||
"Film",
|
||||
];
|
||||
for (const icon of toolIcons) {
|
||||
expect(ICON_MAP[icon]).toBeDefined();
|
||||
}
|
||||
});
|
||||
|
||||
it("does not contain undefined or null values", () => {
|
||||
for (const [key, value] of Object.entries(ICON_MAP)) {
|
||||
expect(value).not.toBeNull();
|
||||
expect(value).not.toBeUndefined();
|
||||
}
|
||||
});
|
||||
|
||||
it("keys are PascalCase (Lucide icon naming convention)", () => {
|
||||
for (const key of Object.keys(ICON_MAP)) {
|
||||
expect(key[0]).toBe(key[0].toUpperCase());
|
||||
}
|
||||
});
|
||||
|
||||
it("specific commonly used icons exist", () => {
|
||||
expect(ICON_MAP.Crop).toBeDefined();
|
||||
expect(ICON_MAP.Maximize2).toBeDefined();
|
||||
expect(ICON_MAP.RotateCw).toBeDefined();
|
||||
expect(ICON_MAP.Sparkles).toBeDefined();
|
||||
expect(ICON_MAP.CheckCircle2).toBeDefined();
|
||||
expect(ICON_MAP.Star).toBeDefined();
|
||||
});
|
||||
});
|
||||
@@ -1642,6 +1642,210 @@ describe("useFeaturesStore", () => {
|
||||
expect(useFeaturesStore.getState().errors["ai-rembg"]).toBe("Server error");
|
||||
expect(useFeaturesStore.getState().installing["ai-rembg"]).toBeUndefined();
|
||||
});
|
||||
|
||||
it("installBundle sets generic error for non-Error throws", async () => {
|
||||
mockApiPost.mockRejectedValueOnce("string error");
|
||||
|
||||
await useFeaturesStore.getState().installBundle("ai-rembg");
|
||||
|
||||
expect(useFeaturesStore.getState().errors["ai-rembg"]).toBe("Failed to start installation");
|
||||
});
|
||||
|
||||
it("installBundle clears previous error for that bundle", async () => {
|
||||
useFeaturesStore.setState({
|
||||
errors: { "ai-rembg": "Old error" },
|
||||
});
|
||||
|
||||
const mockClose = vi.fn();
|
||||
vi.stubGlobal(
|
||||
"EventSource",
|
||||
vi.fn().mockReturnValue({
|
||||
onmessage: null,
|
||||
onerror: null,
|
||||
close: mockClose,
|
||||
}),
|
||||
);
|
||||
mockApiPost.mockResolvedValueOnce({ jobId: "job-456" });
|
||||
|
||||
await useFeaturesStore.getState().installBundle("ai-rembg");
|
||||
|
||||
expect(useFeaturesStore.getState().errors["ai-rembg"]).toBeUndefined();
|
||||
});
|
||||
|
||||
it("uninstallBundle sets generic error for non-Error throws", async () => {
|
||||
mockApiPost.mockRejectedValueOnce(42);
|
||||
|
||||
await useFeaturesStore.getState().uninstallBundle("ai-rembg");
|
||||
|
||||
expect(useFeaturesStore.getState().errors["ai-rembg"]).toBe("Uninstall failed");
|
||||
});
|
||||
|
||||
it("getBundleForTool returns null when bundle not found in bundles list", () => {
|
||||
useFeaturesStore.setState({ bundles: [] });
|
||||
expect(useFeaturesStore.getState().getBundleForTool("remove-bg")).toBeNull();
|
||||
});
|
||||
|
||||
it("isToolInstalled returns false when bundle exists but is in error state", () => {
|
||||
useFeaturesStore.setState({
|
||||
bundles: [
|
||||
{
|
||||
id: "ai-rembg",
|
||||
name: "AI Background Remover",
|
||||
description: "Remove backgrounds",
|
||||
status: "error",
|
||||
installedVersion: null,
|
||||
estimatedSize: "500MB",
|
||||
enablesTools: ["remove-bg"],
|
||||
progress: null,
|
||||
error: "Install failed",
|
||||
},
|
||||
],
|
||||
});
|
||||
expect(useFeaturesStore.getState().isToolInstalled("remove-bg")).toBe(false);
|
||||
});
|
||||
|
||||
it("isToolInstalled returns false when bundle is installing", () => {
|
||||
useFeaturesStore.setState({
|
||||
bundles: [
|
||||
{
|
||||
id: "ai-rembg",
|
||||
name: "AI Background Remover",
|
||||
description: "Remove backgrounds",
|
||||
status: "installing",
|
||||
installedVersion: null,
|
||||
estimatedSize: "500MB",
|
||||
enablesTools: ["remove-bg"],
|
||||
progress: { percent: 50, stage: "Downloading..." },
|
||||
error: null,
|
||||
},
|
||||
],
|
||||
});
|
||||
expect(useFeaturesStore.getState().isToolInstalled("remove-bg")).toBe(false);
|
||||
});
|
||||
|
||||
it("clearError is a no-op for nonexistent bundle", () => {
|
||||
useFeaturesStore.setState({ errors: { "ai-rembg": "Error" } });
|
||||
useFeaturesStore.getState().clearError("nonexistent");
|
||||
expect(useFeaturesStore.getState().errors).toEqual({ "ai-rembg": "Error" });
|
||||
});
|
||||
|
||||
it("refresh updates bundles from API", async () => {
|
||||
const bundles = [
|
||||
{
|
||||
id: "ai-esrgan",
|
||||
name: "AI Upscaler",
|
||||
description: "Upscale images",
|
||||
status: "installed" as const,
|
||||
installedVersion: "2.0.0",
|
||||
estimatedSize: "1GB",
|
||||
enablesTools: ["upscale"],
|
||||
progress: null,
|
||||
error: null,
|
||||
},
|
||||
];
|
||||
mockApiGet.mockResolvedValueOnce({ bundles });
|
||||
|
||||
await useFeaturesStore.getState().refresh();
|
||||
|
||||
expect(useFeaturesStore.getState().bundles).toEqual(bundles);
|
||||
expect(useFeaturesStore.getState().loaded).toBe(true);
|
||||
});
|
||||
|
||||
it("refresh silently ignores API errors", async () => {
|
||||
useFeaturesStore.setState({
|
||||
bundles: [
|
||||
{
|
||||
id: "ai-rembg",
|
||||
name: "AI Background Remover",
|
||||
description: "Remove backgrounds",
|
||||
status: "installed",
|
||||
installedVersion: "1.0.0",
|
||||
estimatedSize: "500MB",
|
||||
enablesTools: ["remove-bg"],
|
||||
progress: null,
|
||||
error: null,
|
||||
},
|
||||
],
|
||||
loaded: true,
|
||||
});
|
||||
mockApiGet.mockRejectedValueOnce(new Error("Network error"));
|
||||
|
||||
await useFeaturesStore.getState().refresh();
|
||||
|
||||
// Bundles should remain unchanged on error
|
||||
expect(useFeaturesStore.getState().bundles).toHaveLength(1);
|
||||
});
|
||||
|
||||
it("fetch recovers active installs on load", async () => {
|
||||
const bundles = [
|
||||
{
|
||||
id: "ai-rembg",
|
||||
name: "AI Background Remover",
|
||||
description: "Remove backgrounds",
|
||||
status: "installing" as const,
|
||||
installedVersion: null,
|
||||
estimatedSize: "500MB",
|
||||
enablesTools: ["remove-bg"],
|
||||
progress: { percent: 30, stage: "Downloading models..." },
|
||||
error: null,
|
||||
},
|
||||
];
|
||||
mockApiGet.mockResolvedValueOnce({ bundles });
|
||||
|
||||
await useFeaturesStore.getState().fetch();
|
||||
|
||||
// The recovering logic should have set installing state for the active bundle
|
||||
expect(useFeaturesStore.getState().installing["ai-rembg"]).toBeDefined();
|
||||
expect(useFeaturesStore.getState().installing["ai-rembg"].percent).toBe(30);
|
||||
expect(useFeaturesStore.getState().installing["ai-rembg"].stage).toBe("Downloading models...");
|
||||
});
|
||||
|
||||
it("fetch recovers active installs with default progress when none given", async () => {
|
||||
const bundles = [
|
||||
{
|
||||
id: "ai-rembg",
|
||||
name: "AI Background Remover",
|
||||
description: "Remove backgrounds",
|
||||
status: "installing" as const,
|
||||
installedVersion: null,
|
||||
estimatedSize: "500MB",
|
||||
enablesTools: ["remove-bg"],
|
||||
progress: null,
|
||||
error: null,
|
||||
},
|
||||
];
|
||||
mockApiGet.mockResolvedValueOnce({ bundles });
|
||||
|
||||
await useFeaturesStore.getState().fetch();
|
||||
|
||||
expect(useFeaturesStore.getState().installing["ai-rembg"]).toBeDefined();
|
||||
expect(useFeaturesStore.getState().installing["ai-rembg"].percent).toBe(0);
|
||||
expect(useFeaturesStore.getState().installing["ai-rembg"].stage).toBe("Resuming...");
|
||||
});
|
||||
|
||||
it("reinstallBundle calls uninstall then install", async () => {
|
||||
const mockClose = vi.fn();
|
||||
vi.stubGlobal(
|
||||
"EventSource",
|
||||
vi.fn().mockReturnValue({
|
||||
onmessage: null,
|
||||
onerror: null,
|
||||
close: mockClose,
|
||||
}),
|
||||
);
|
||||
|
||||
// uninstall call
|
||||
mockApiPost.mockResolvedValueOnce({});
|
||||
// refresh after uninstall
|
||||
mockApiGet.mockResolvedValueOnce({ bundles: [] });
|
||||
// install call
|
||||
mockApiPost.mockResolvedValueOnce({ jobId: "job-reinstall" });
|
||||
|
||||
await useFeaturesStore.getState().reinstallBundle("ai-rembg");
|
||||
|
||||
expect(mockApiPost).toHaveBeenCalledWith("/v1/admin/features/ai-rembg/uninstall");
|
||||
expect(mockApiPost).toHaveBeenCalledWith("/v1/admin/features/ai-rembg/install");
|
||||
});
|
||||
});
|
||||
|
||||
// ==========================================================================
|
||||
|
||||
Reference in New Issue
Block a user