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https://github.com/snapotter-hq/SnapOtter.git
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14-agent parallel test expansion covering integration, unit, E2E, E2E-Docker, cross-format matrix, adversarial, GUI navigation/tools/settings/visual/a11y/perf. - Integration: expand 23 tool test files with HEIC, stress, batch, edge cases - Unit: close coverage gaps in image-engine, stores, lib (metadata, auto-enhance, connection-store, lazy-with-retry, collage/file-store HEIC preview) - AI bridge: 141 new tests for dispatcher buffering, crash recovery, OOM/segfault - Cross-format: 794 parameterized tests (16 formats x 12 tools + no-crash matrix) - Adversarial: memory stress (50x large file), zero-byte, corrupted headers, unicode - E2E-Docker: expand 8 spec files with dimension verification, pipeline chains - GUI E2E: tool UI settings/interactions for all 47 tools, remove all test.skip, RBAC per-role verification, visual screenshot naming, cross-browser smoke tests, a11y ARIA/focus/contrast, performance budgets, 15-tool stability test - Fix: replace-color.ts tolerance=0 caused division-by-zero producing NaN pixels Total: 8,958 tests passing across 202 files. Zero failures, zero skips.
349 lines
11 KiB
TypeScript
349 lines
11 KiB
TypeScript
import { readFile, unlink, writeFile } from "node:fs/promises";
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import { afterEach, beforeEach, describe, expect, it, vi } from "vitest";
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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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toBuffer: vi.fn().mockResolvedValue(Buffer.from("mock-png-data")),
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}));
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return { default: mockSharp };
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});
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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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unlink: vi.fn().mockResolvedValue(undefined),
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}));
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vi.mock("../../../packages/ai/src/bridge.js", () => ({
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runPythonWithProgress: vi.fn(),
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parseStdoutJson: vi.fn(),
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}));
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import sharp from "sharp";
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import { parseStdoutJson, runPythonWithProgress } from "../../../packages/ai/src/bridge.js";
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import { blurFaces, detectFaces } from "../../../packages/ai/src/face-detection.js";
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const FAKE_INPUT = Buffer.from("fake-image-data");
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const FAKE_OUTPUT_DIR = "/tmp/test-faces";
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beforeEach(() => {
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vi.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(unlink).mockResolvedValue(undefined);
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vi.mocked(runPythonWithProgress).mockResolvedValue({
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stdout: '{"success": true, "facesDetected": 0}',
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stderr: "",
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});
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vi.mocked(parseStdoutJson).mockReturnValue({
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success: true,
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facesDetected: 0,
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faces: [],
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});
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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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toBuffer: vi.fn().mockResolvedValue(Buffer.from("mock-png-data")),
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}) as unknown as ReturnType<typeof sharp>,
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);
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});
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afterEach(() => {
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vi.restoreAllMocks();
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});
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describe("blurFaces", () => {
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describe("request serialization", () => {
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it("calls detect_faces.py with correct file paths", async () => {
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await blurFaces(FAKE_INPUT, FAKE_OUTPUT_DIR);
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expect(runPythonWithProgress).toHaveBeenCalledWith(
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"detect_faces.py",
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[`${FAKE_OUTPUT_DIR}/input_faces.png`, `${FAKE_OUTPUT_DIR}/output_faces.png`, "{}"],
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expect.any(Object),
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);
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});
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it("serializes blurRadius option", async () => {
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await blurFaces(FAKE_INPUT, FAKE_OUTPUT_DIR, { blurRadius: 30 });
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const args = vi.mocked(runPythonWithProgress).mock.calls[0][1];
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expect(JSON.parse(args[2])).toEqual({ blurRadius: 30 });
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});
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it("serializes sensitivity option", async () => {
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await blurFaces(FAKE_INPUT, FAKE_OUTPUT_DIR, { sensitivity: 0.3 });
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const args = vi.mocked(runPythonWithProgress).mock.calls[0][1];
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expect(JSON.parse(args[2])).toEqual({ sensitivity: 0.3 });
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});
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it("serializes both blurRadius and sensitivity", async () => {
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await blurFaces(FAKE_INPUT, FAKE_OUTPUT_DIR, { blurRadius: 25, sensitivity: 0.7 });
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const args = vi.mocked(runPythonWithProgress).mock.calls[0][1];
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expect(JSON.parse(args[2])).toEqual({ blurRadius: 25, sensitivity: 0.7 });
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});
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it("converts input to PNG before writing", async () => {
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await blurFaces(FAKE_INPUT, FAKE_OUTPUT_DIR);
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expect(sharp).toHaveBeenCalledWith(FAKE_INPUT);
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});
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});
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describe("response parsing", () => {
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it("returns BlurFacesResult with multiple face regions", async () => {
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vi.mocked(parseStdoutJson).mockReturnValue({
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success: true,
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facesDetected: 3,
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faces: [
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{ x: 10, y: 20, w: 50, h: 60 },
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{ x: 100, y: 120, w: 55, h: 65 },
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{ x: 200, y: 220, w: 45, h: 55 },
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],
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});
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const result = await blurFaces(FAKE_INPUT, FAKE_OUTPUT_DIR);
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expect(result.facesDetected).toBe(3);
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expect(result.faces).toHaveLength(3);
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expect(result.buffer).toBeInstanceOf(Buffer);
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});
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it("returns empty faces array when none detected", async () => {
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vi.mocked(parseStdoutJson).mockReturnValue({
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success: true,
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facesDetected: 0,
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});
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const result = await blurFaces(FAKE_INPUT, FAKE_OUTPUT_DIR);
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expect(result.facesDetected).toBe(0);
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expect(result.faces).toEqual([]);
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});
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it("defaults faces to empty array when field absent from response", async () => {
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vi.mocked(parseStdoutJson).mockReturnValue({
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success: true,
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facesDetected: 0,
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});
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const result = await blurFaces(FAKE_INPUT, FAKE_OUTPUT_DIR);
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expect(result.faces).toEqual([]);
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});
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it("reads the output file for the blurred image", async () => {
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const blurredBuf = Buffer.from("blurred-faces-output");
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vi.mocked(readFile).mockResolvedValueOnce(blurredBuf);
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const result = await blurFaces(FAKE_INPUT, FAKE_OUTPUT_DIR);
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expect(result.buffer).toBe(blurredBuf);
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expect(readFile).toHaveBeenCalledWith(`${FAKE_OUTPUT_DIR}/output_faces.png`);
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});
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});
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describe("error handling", () => {
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it("throws with custom error from Python", async () => {
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vi.mocked(parseStdoutJson).mockReturnValue({
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success: false,
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error: "MediaPipe initialization failed",
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});
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await expect(blurFaces(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow(
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"MediaPipe initialization failed",
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);
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});
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it("throws fallback error when success: false without error string", async () => {
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vi.mocked(parseStdoutJson).mockReturnValue({ success: false });
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await expect(blurFaces(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow("Face detection failed");
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});
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it("propagates bridge timeout", async () => {
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vi.mocked(runPythonWithProgress).mockRejectedValue(new Error("Python script timed out"));
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await expect(blurFaces(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow("timed out");
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});
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it("propagates OOM errors from bridge", async () => {
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vi.mocked(runPythonWithProgress).mockRejectedValue(
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new Error("Process killed (out of memory)"),
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);
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await expect(blurFaces(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow("out of memory");
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});
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});
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describe("onProgress forwarding", () => {
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it("passes onProgress to bridge", async () => {
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const onProgress = vi.fn();
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await blurFaces(FAKE_INPUT, FAKE_OUTPUT_DIR, {}, onProgress);
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expect(runPythonWithProgress).toHaveBeenCalledWith(
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"detect_faces.py",
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expect.any(Array),
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expect.objectContaining({ onProgress }),
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);
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});
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});
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});
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describe("detectFaces", () => {
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describe("request serialization", () => {
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it("calls detect_faces.py with detectOnly: true", async () => {
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await detectFaces(FAKE_INPUT);
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const args = vi.mocked(runPythonWithProgress).mock.calls[0][1];
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const optionsArg = JSON.parse(args[2]);
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expect(optionsArg.detectOnly).toBe(true);
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});
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it("passes 'unused' as the output path argument", async () => {
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await detectFaces(FAKE_INPUT);
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const args = vi.mocked(runPythonWithProgress).mock.calls[0][1];
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expect(args[1]).toBe("unused");
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});
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it("merges user sensitivity with detectOnly flag", async () => {
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await detectFaces(FAKE_INPUT, { sensitivity: 0.2 });
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const args = vi.mocked(runPythonWithProgress).mock.calls[0][1];
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const parsed = JSON.parse(args[2]);
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expect(parsed).toEqual({ sensitivity: 0.2, detectOnly: true });
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});
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it("writes input to tmpdir", async () => {
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await detectFaces(FAKE_INPUT);
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expect(writeFile).toHaveBeenCalledWith(
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expect.stringContaining("detect_faces_"),
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Buffer.from("mock-png-data"),
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);
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});
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});
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describe("response parsing", () => {
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it("returns DetectFacesResult without a buffer property", async () => {
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vi.mocked(parseStdoutJson).mockReturnValue({
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success: true,
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facesDetected: 2,
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faces: [
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{ x: 10, y: 20, w: 50, h: 60 },
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{ x: 100, y: 120, w: 55, h: 65 },
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],
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});
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const result = await detectFaces(FAKE_INPUT);
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expect(result.facesDetected).toBe(2);
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expect(result.faces).toHaveLength(2);
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expect(result).not.toHaveProperty("buffer");
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});
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it("defaults faces to empty array", async () => {
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vi.mocked(parseStdoutJson).mockReturnValue({
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success: true,
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facesDetected: 0,
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});
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const result = await detectFaces(FAKE_INPUT);
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expect(result.faces).toEqual([]);
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});
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});
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describe("temp file cleanup", () => {
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it("cleans up temp input file after success", async () => {
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await detectFaces(FAKE_INPUT);
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expect(unlink).toHaveBeenCalledWith(expect.stringContaining("detect_faces_"));
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});
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it("cleans up temp input file after failure", async () => {
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vi.mocked(parseStdoutJson).mockReturnValue({ success: false });
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await expect(detectFaces(FAKE_INPUT)).rejects.toThrow();
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expect(unlink).toHaveBeenCalled();
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});
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it("cleans up temp file when bridge rejects", async () => {
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vi.mocked(runPythonWithProgress).mockRejectedValue(new Error("crash"));
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await expect(detectFaces(FAKE_INPUT)).rejects.toThrow();
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expect(unlink).toHaveBeenCalled();
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});
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});
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describe("error handling", () => {
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it("throws fallback error", async () => {
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vi.mocked(parseStdoutJson).mockReturnValue({ success: false });
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await expect(detectFaces(FAKE_INPUT)).rejects.toThrow("Face detection failed");
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});
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it("propagates segfault error", async () => {
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vi.mocked(runPythonWithProgress).mockRejectedValue(
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new Error("Process crashed (segmentation fault)"),
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);
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await expect(detectFaces(FAKE_INPUT)).rejects.toThrow("segmentation fault");
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});
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it("propagates OOM errors from bridge", async () => {
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vi.mocked(runPythonWithProgress).mockRejectedValue(
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new Error("Process killed (out of memory)"),
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);
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await expect(detectFaces(FAKE_INPUT)).rejects.toThrow("out of memory");
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});
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});
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describe("onProgress forwarding", () => {
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it("passes onProgress to bridge", async () => {
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const onProgress = vi.fn();
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await detectFaces(FAKE_INPUT, {}, onProgress);
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expect(runPythonWithProgress).toHaveBeenCalledWith(
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"detect_faces.py",
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expect.any(Array),
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expect.objectContaining({ onProgress }),
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);
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});
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it("omits onProgress when not provided", async () => {
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await detectFaces(FAKE_INPUT);
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const options = vi.mocked(runPythonWithProgress).mock.calls[0][2];
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expect(options.onProgress).toBeUndefined();
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});
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});
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describe("edge cases", () => {
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it("converts input to PNG before writing to tmpdir", async () => {
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await detectFaces(FAKE_INPUT);
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expect(sharp).toHaveBeenCalledWith(FAKE_INPUT);
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});
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it("propagates sharp conversion errors", async () => {
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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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toBuffer: vi.fn().mockRejectedValue(new Error("Corrupt image")),
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}) as unknown as ReturnType<typeof sharp>,
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);
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await expect(detectFaces(FAKE_INPUT)).rejects.toThrow("Corrupt image");
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});
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it("propagates writeFile errors", async () => {
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vi.mocked(writeFile).mockRejectedValueOnce(new Error("Permission denied"));
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await expect(detectFaces(FAKE_INPUT)).rejects.toThrow("Permission denied");
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});
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});
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});
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