mirror of
https://github.com/snapotter-hq/SnapOtter.git
synced 2026-08-03 07:46:42 +02:00
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.
454 lines
15 KiB
TypeScript
454 lines
15 KiB
TypeScript
import { readFile, writeFile } from "node:fs/promises";
|
|
import { afterEach, beforeEach, describe, expect, it, vi } from "vitest";
|
|
|
|
vi.mock("sharp", () => {
|
|
const mockSharp = vi.fn(() => ({
|
|
png: vi.fn().mockReturnThis(),
|
|
toBuffer: vi.fn().mockResolvedValue(Buffer.from("mock-png-data")),
|
|
metadata: vi.fn().mockResolvedValue({ width: 800, height: 600 }),
|
|
}));
|
|
return { default: mockSharp };
|
|
});
|
|
|
|
vi.mock("node:fs/promises", () => ({
|
|
readFile: vi.fn().mockResolvedValue(Buffer.from("mock-output-data")),
|
|
writeFile: vi.fn().mockResolvedValue(undefined),
|
|
}));
|
|
|
|
vi.mock("../../../packages/ai/src/bridge.js", () => ({
|
|
runPythonWithProgress: vi.fn(),
|
|
parseStdoutJson: vi.fn(),
|
|
isGpuAvailable: vi.fn().mockReturnValue(false),
|
|
}));
|
|
|
|
import sharp from "sharp";
|
|
import {
|
|
isGpuAvailable,
|
|
parseStdoutJson,
|
|
runPythonWithProgress,
|
|
} from "../../../packages/ai/src/bridge.js";
|
|
import { upscale } from "../../../packages/ai/src/upscaling.js";
|
|
|
|
const FAKE_INPUT = Buffer.from("fake-small-image");
|
|
const FAKE_OUTPUT_DIR = "/tmp/test-upscale";
|
|
|
|
beforeEach(() => {
|
|
vi.clearAllMocks();
|
|
vi.mocked(readFile).mockResolvedValue(Buffer.from("mock-output-data"));
|
|
vi.mocked(writeFile).mockResolvedValue(undefined);
|
|
vi.mocked(runPythonWithProgress).mockResolvedValue({
|
|
stdout: '{"success": true}',
|
|
stderr: "",
|
|
});
|
|
vi.mocked(parseStdoutJson).mockReturnValue({
|
|
success: true,
|
|
width: 1600,
|
|
height: 1200,
|
|
method: "realesrgan",
|
|
format: "png",
|
|
});
|
|
vi.mocked(sharp).mockImplementation(
|
|
() =>
|
|
({
|
|
png: vi.fn().mockReturnThis(),
|
|
toBuffer: vi.fn().mockResolvedValue(Buffer.from("mock-png-data")),
|
|
metadata: vi.fn().mockResolvedValue({ width: 800, height: 600 }),
|
|
}) as unknown as ReturnType<typeof sharp>,
|
|
);
|
|
vi.mocked(isGpuAvailable).mockReturnValue(false);
|
|
});
|
|
|
|
afterEach(() => {
|
|
vi.restoreAllMocks();
|
|
});
|
|
|
|
describe("upscale", () => {
|
|
describe("request serialization", () => {
|
|
it("calls upscale.py with correct file paths", async () => {
|
|
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
|
|
|
expect(runPythonWithProgress).toHaveBeenCalledWith(
|
|
"upscale.py",
|
|
[`${FAKE_OUTPUT_DIR}/input_upscale.png`, `${FAKE_OUTPUT_DIR}/output_upscale.png`, "{}"],
|
|
expect.any(Object),
|
|
);
|
|
});
|
|
|
|
it("serializes scale option", async () => {
|
|
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR, { scale: 4 });
|
|
|
|
const args = vi.mocked(runPythonWithProgress).mock.calls[0][1];
|
|
expect(JSON.parse(args[2])).toEqual({ scale: 4 });
|
|
});
|
|
|
|
it("serializes model option", async () => {
|
|
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR, { model: "realesrgan-x4plus-anime" });
|
|
|
|
const args = vi.mocked(runPythonWithProgress).mock.calls[0][1];
|
|
expect(JSON.parse(args[2])).toEqual({ model: "realesrgan-x4plus-anime" });
|
|
});
|
|
|
|
it("serializes faceEnhance option", async () => {
|
|
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR, { faceEnhance: true });
|
|
|
|
const args = vi.mocked(runPythonWithProgress).mock.calls[0][1];
|
|
expect(JSON.parse(args[2])).toEqual({ faceEnhance: true });
|
|
});
|
|
|
|
it("serializes denoise option", async () => {
|
|
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR, { denoise: 0.5 });
|
|
|
|
const args = vi.mocked(runPythonWithProgress).mock.calls[0][1];
|
|
expect(JSON.parse(args[2])).toEqual({ denoise: 0.5 });
|
|
});
|
|
|
|
it("serializes format and quality options", async () => {
|
|
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR, { format: "webp", quality: 90 });
|
|
|
|
const args = vi.mocked(runPythonWithProgress).mock.calls[0][1];
|
|
expect(JSON.parse(args[2])).toEqual({ format: "webp", quality: 90 });
|
|
});
|
|
|
|
it("serializes all options together", async () => {
|
|
const allOptions = {
|
|
scale: 2,
|
|
model: "realesrgan-x4plus",
|
|
faceEnhance: true,
|
|
denoise: 0.3,
|
|
format: "jpeg",
|
|
quality: 85,
|
|
};
|
|
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR, allOptions);
|
|
|
|
const args = vi.mocked(runPythonWithProgress).mock.calls[0][1];
|
|
expect(JSON.parse(args[2])).toEqual(allOptions);
|
|
});
|
|
|
|
it("converts input to PNG before writing", async () => {
|
|
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
|
|
|
expect(sharp).toHaveBeenCalledWith(FAKE_INPUT);
|
|
expect(writeFile).toHaveBeenCalledWith(
|
|
`${FAKE_OUTPUT_DIR}/input_upscale.png`,
|
|
Buffer.from("mock-png-data"),
|
|
);
|
|
});
|
|
});
|
|
|
|
describe("response parsing", () => {
|
|
it("returns UpscaleResult with all fields", async () => {
|
|
const result = await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
|
|
|
expect(result).toEqual({
|
|
buffer: expect.any(Buffer),
|
|
width: 1600,
|
|
height: 1200,
|
|
method: "realesrgan",
|
|
format: "png",
|
|
});
|
|
});
|
|
|
|
it("reads from default output path", async () => {
|
|
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
|
|
|
expect(readFile).toHaveBeenCalledWith(`${FAKE_OUTPUT_DIR}/output_upscale.png`);
|
|
});
|
|
|
|
it("reads from alternate output_path when provided", 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");
|
|
});
|
|
|
|
it("defaults method to 'unknown' when absent", async () => {
|
|
vi.mocked(parseStdoutJson).mockReturnValue({
|
|
success: true,
|
|
width: 1600,
|
|
height: 1200,
|
|
});
|
|
|
|
const result = await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
|
expect(result.method).toBe("unknown");
|
|
});
|
|
|
|
it("defaults format to 'png' when absent", async () => {
|
|
vi.mocked(parseStdoutJson).mockReturnValue({
|
|
success: true,
|
|
width: 1600,
|
|
height: 1200,
|
|
});
|
|
|
|
const result = await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
|
expect(result.format).toBe("png");
|
|
});
|
|
|
|
it("returns correct dimensions for 4x upscale", async () => {
|
|
vi.mocked(parseStdoutJson).mockReturnValue({
|
|
success: true,
|
|
width: 3200,
|
|
height: 2400,
|
|
method: "realesrgan",
|
|
format: "png",
|
|
});
|
|
|
|
const result = await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR, { scale: 4 });
|
|
expect(result.width).toBe(3200);
|
|
expect(result.height).toBe(2400);
|
|
});
|
|
});
|
|
|
|
describe("error handling", () => {
|
|
it("throws with custom error from Python", async () => {
|
|
vi.mocked(parseStdoutJson).mockReturnValue({
|
|
success: false,
|
|
error: "RealESRGAN model file not found",
|
|
});
|
|
|
|
await expect(upscale(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow(
|
|
"RealESRGAN model file not found",
|
|
);
|
|
});
|
|
|
|
it("throws fallback error when success: false without error string", async () => {
|
|
vi.mocked(parseStdoutJson).mockReturnValue({ success: false });
|
|
|
|
await expect(upscale(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow("Upscaling failed");
|
|
});
|
|
|
|
it("propagates bridge timeout", async () => {
|
|
vi.mocked(runPythonWithProgress).mockRejectedValue(new Error("Python script timed out"));
|
|
|
|
await expect(upscale(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow("timed out");
|
|
});
|
|
|
|
it("propagates OOM errors", async () => {
|
|
vi.mocked(runPythonWithProgress).mockRejectedValue(
|
|
new Error("Process killed (out of memory)"),
|
|
);
|
|
|
|
await expect(upscale(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow("out of memory");
|
|
});
|
|
|
|
it("propagates parseStdoutJson errors", 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",
|
|
);
|
|
});
|
|
});
|
|
|
|
describe("onProgress forwarding", () => {
|
|
it("passes onProgress to bridge", async () => {
|
|
const onProgress = vi.fn();
|
|
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR, {}, onProgress);
|
|
|
|
expect(runPythonWithProgress).toHaveBeenCalledWith(
|
|
"upscale.py",
|
|
expect.any(Array),
|
|
expect.objectContaining({ onProgress }),
|
|
);
|
|
});
|
|
|
|
it("omits onProgress when not provided", async () => {
|
|
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
|
|
|
const options = vi.mocked(runPythonWithProgress).mock.calls[0][2];
|
|
expect(options.onProgress).toBeUndefined();
|
|
});
|
|
});
|
|
|
|
describe("timeout calculation", () => {
|
|
it("passes a timeout to runPythonWithProgress", async () => {
|
|
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
|
|
|
const options = vi.mocked(runPythonWithProgress).mock.calls[0][2];
|
|
expect(options.timeout).toBeTypeOf("number");
|
|
expect(options.timeout).toBeGreaterThan(0);
|
|
});
|
|
|
|
it("uses minimum timeout of 600s for small images", async () => {
|
|
vi.mocked(sharp).mockImplementation(
|
|
() =>
|
|
({
|
|
png: vi.fn().mockReturnThis(),
|
|
toBuffer: vi.fn().mockResolvedValue(Buffer.from("mock-png-data")),
|
|
metadata: vi.fn().mockResolvedValue({ width: 100, height: 100 }),
|
|
}) as unknown as ReturnType<typeof sharp>,
|
|
);
|
|
|
|
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR, { scale: 2 });
|
|
|
|
const options = vi.mocked(runPythonWithProgress).mock.calls[0][2];
|
|
expect(options.timeout).toBe(600_000);
|
|
});
|
|
|
|
it("scales timeout with image megapixels", async () => {
|
|
vi.mocked(sharp).mockImplementation(
|
|
() =>
|
|
({
|
|
png: vi.fn().mockReturnThis(),
|
|
toBuffer: vi.fn().mockResolvedValue(Buffer.from("mock-png-data")),
|
|
metadata: vi.fn().mockResolvedValue({ width: 2000, height: 1500 }),
|
|
}) as unknown as ReturnType<typeof sharp>,
|
|
);
|
|
|
|
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR, { scale: 2 });
|
|
const timeout2x = vi.mocked(runPythonWithProgress).mock.calls[0][2].timeout!;
|
|
|
|
vi.mocked(runPythonWithProgress).mockClear();
|
|
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR, { scale: 4 });
|
|
const timeout4x = vi.mocked(runPythonWithProgress).mock.calls[0][2].timeout!;
|
|
|
|
expect(timeout4x).toBeGreaterThan(timeout2x);
|
|
});
|
|
|
|
it("scales timeout with scale factor squared", async () => {
|
|
vi.mocked(sharp).mockImplementation(
|
|
() =>
|
|
({
|
|
png: vi.fn().mockReturnThis(),
|
|
toBuffer: vi.fn().mockResolvedValue(Buffer.from("mock-png-data")),
|
|
metadata: vi.fn().mockResolvedValue({ width: 1000, height: 1000 }),
|
|
}) as unknown as ReturnType<typeof sharp>,
|
|
);
|
|
|
|
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR, { scale: 2 });
|
|
const timeout2x = vi.mocked(runPythonWithProgress).mock.calls[0][2].timeout!;
|
|
|
|
vi.mocked(runPythonWithProgress).mockClear();
|
|
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR, { scale: 4 });
|
|
const timeout4x = vi.mocked(runPythonWithProgress).mock.calls[0][2].timeout!;
|
|
|
|
// 4x scale has 4x the effective megapixels vs 2x scale (16/4 = 4)
|
|
expect(timeout4x / timeout2x).toBe(4);
|
|
});
|
|
|
|
it("uses shorter timeout when GPU is available", async () => {
|
|
vi.mocked(sharp).mockImplementation(
|
|
() =>
|
|
({
|
|
png: vi.fn().mockReturnThis(),
|
|
toBuffer: vi.fn().mockResolvedValue(Buffer.from("mock-png-data")),
|
|
metadata: vi.fn().mockResolvedValue({ width: 2000, height: 1500 }),
|
|
}) as unknown as ReturnType<typeof sharp>,
|
|
);
|
|
|
|
vi.mocked(isGpuAvailable).mockReturnValue(false);
|
|
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR, { scale: 4 });
|
|
const cpuTimeout = vi.mocked(runPythonWithProgress).mock.calls[0][2].timeout!;
|
|
|
|
vi.mocked(runPythonWithProgress).mockClear();
|
|
vi.mocked(isGpuAvailable).mockReturnValue(true);
|
|
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR, { scale: 4 });
|
|
const gpuTimeout = vi.mocked(runPythonWithProgress).mock.calls[0][2].timeout!;
|
|
|
|
expect(gpuTimeout).toBeLessThan(cpuTimeout);
|
|
});
|
|
|
|
it("provides generous timeout for CPU upscale at high scale", async () => {
|
|
// Simulates user scenario: ~2MP image at 4x on CPU (Synology NAS)
|
|
vi.mocked(sharp).mockImplementation(
|
|
() =>
|
|
({
|
|
png: vi.fn().mockReturnThis(),
|
|
toBuffer: vi.fn().mockResolvedValue(Buffer.from("mock-png-data")),
|
|
metadata: vi.fn().mockResolvedValue({ width: 1600, height: 1200 }),
|
|
}) as unknown as ReturnType<typeof sharp>,
|
|
);
|
|
vi.mocked(isGpuAvailable).mockReturnValue(false);
|
|
|
|
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR, { scale: 4 });
|
|
const options = vi.mocked(runPythonWithProgress).mock.calls[0][2];
|
|
|
|
// ~1.92MP * 16 (4^2) * 180_000ms = ~55 minutes. Must be well above 10 min.
|
|
expect(options.timeout).toBeGreaterThan(10 * 60 * 1000);
|
|
});
|
|
|
|
it("defaults scale to 2 when not provided", async () => {
|
|
vi.mocked(sharp).mockImplementation(
|
|
() =>
|
|
({
|
|
png: vi.fn().mockReturnThis(),
|
|
toBuffer: vi.fn().mockResolvedValue(Buffer.from("mock-png-data")),
|
|
metadata: vi.fn().mockResolvedValue({ width: 2000, height: 2000 }),
|
|
}) as unknown as ReturnType<typeof sharp>,
|
|
);
|
|
|
|
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
|
const options = vi.mocked(runPythonWithProgress).mock.calls[0][2];
|
|
|
|
// 4MP * 4 (2^2) * 180_000 = 2_880_000ms
|
|
expect(options.timeout).toBe(2_880_000);
|
|
});
|
|
|
|
it("handles zero dimensions from metadata gracefully", async () => {
|
|
vi.mocked(sharp).mockImplementation(
|
|
() =>
|
|
({
|
|
png: vi.fn().mockReturnThis(),
|
|
toBuffer: vi.fn().mockResolvedValue(Buffer.from("mock-png-data")),
|
|
metadata: vi.fn().mockResolvedValue({ width: undefined, height: undefined }),
|
|
}) as unknown as ReturnType<typeof sharp>,
|
|
);
|
|
|
|
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
|
const options = vi.mocked(runPythonWithProgress).mock.calls[0][2];
|
|
// 0 MP: timeout = max(600_000, 0) = 600_000
|
|
expect(options.timeout).toBe(600_000);
|
|
});
|
|
});
|
|
|
|
describe("sharp conversion errors", () => {
|
|
it("propagates sharp toBuffer error", async () => {
|
|
vi.mocked(sharp).mockImplementation(
|
|
() =>
|
|
({
|
|
png: vi.fn().mockReturnThis(),
|
|
toBuffer: vi.fn().mockRejectedValue(new Error("Input buffer is empty")),
|
|
metadata: vi.fn().mockResolvedValue({ width: 800, height: 600 }),
|
|
}) as unknown as ReturnType<typeof sharp>,
|
|
);
|
|
|
|
await expect(upscale(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow("Input buffer is empty");
|
|
});
|
|
});
|
|
|
|
describe("edge cases", () => {
|
|
it("propagates writeFile error", async () => {
|
|
vi.mocked(writeFile).mockRejectedValueOnce(new Error("ENOSPC: disk full"));
|
|
|
|
await expect(upscale(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow("disk full");
|
|
});
|
|
|
|
it("propagates readFile error after successful Python run", async () => {
|
|
vi.mocked(readFile).mockRejectedValueOnce(new Error("ENOENT: output missing"));
|
|
|
|
await expect(upscale(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow("output missing");
|
|
});
|
|
|
|
it("passes empty options as empty JSON object", async () => {
|
|
await upscale(FAKE_INPUT, FAKE_OUTPUT_DIR);
|
|
|
|
const args = vi.mocked(runPythonWithProgress).mock.calls[0][1];
|
|
expect(JSON.parse(args[2])).toEqual({});
|
|
});
|
|
|
|
it("propagates segfault from bridge", async () => {
|
|
vi.mocked(runPythonWithProgress).mockRejectedValue(
|
|
new Error("Process crashed (segmentation fault)"),
|
|
);
|
|
|
|
await expect(upscale(FAKE_INPUT, FAKE_OUTPUT_DIR)).rejects.toThrow("segmentation fault");
|
|
});
|
|
});
|
|
});
|