mirror of
https://github.com/snapotter-hq/SnapOtter.git
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SnapOtter
06d1822491
Fix 2 failing unit tests (landing hero text mismatch) and broken coverage tooling (brace-expansion v5 override breaking minimatch). Add ~1,097 new test cases via 14-agent parallel expansion: - Unit: +290 tests (AI bridge, image-engine, stores, API helpers) - Integration: +504 tests (all tools, cross-format matrix, adversarial) - E2E: +363 tests (navigation, tool UI, batch/pipeline, settings, visual regression, accessibility, performance, cross-browser) Total: 4,223 unit + 6,057 integration + 1,563 E2E = 11,843 tests
1192 lines
40 KiB
TypeScript
1192 lines
40 KiB
TypeScript
/**
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* Final adversarial gap-closing integration tests for the SnapOtter image API.
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*
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* Targets 10 specific gap categories identified after auditing all existing
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* adversarial, edge-case, concurrent, and security test files:
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*
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* 1. Concurrent requests: 10 simultaneous uploads with pixel-level output verification
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* 2. Memory pressure: sequential processing of 6.7MB stress-large.jpg with timing checks
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* 3. Zero-byte files: Buffer.alloc(0) through untested tools (beautify, optimize-for-web, etc.)
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* 4. Corrupted magic bytes: PNG header on JPEG data, JPEG header on PNG data cross-injection
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* 5. Wrong extension: .jpg containing PNG data verified through download + Sharp metadata
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* 6. Unicode filenames: combining marks, BOM, supplementary plane, mixed-direction
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* 7. Extreme dimensions: 1x1 pixel through untested tools (beautify, replace-color, split, etc.)
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* 8. Pipeline edge cases: 50-step deep chain, non-existent tool mid-chain, all-same-tool pipeline
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* 9. Batch limits: 50+ images, batch with only corrupted files, batch with large + tiny mix
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* 10. Simultaneous batch + single + pipeline requests with cross-contamination checks
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*/
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import { readFileSync } from "node:fs";
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import { join } from "node:path";
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import sharp from "sharp";
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import { afterAll, beforeAll, describe, expect, it } from "vitest";
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import { buildTestApp, createMultipartPayload, loginAsAdmin, type TestApp } from "./test-server.js";
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// ---------------------------------------------------------------------------
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// Fixtures
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// ---------------------------------------------------------------------------
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const FIXTURES = join(__dirname, "..", "fixtures");
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const PNG_200x150 = readFileSync(join(FIXTURES, "test-200x150.png"));
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const PNG_1x1 = readFileSync(join(FIXTURES, "test-1x1.png"));
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const JPG_100x100 = readFileSync(join(FIXTURES, "test-100x100.jpg"));
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const WEBP_50x50 = readFileSync(join(FIXTURES, "test-50x50.webp"));
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const STRESS_LARGE = readFileSync(join(FIXTURES, "content", "stress-large.jpg"));
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// ---------------------------------------------------------------------------
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// Shared state
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// ---------------------------------------------------------------------------
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let testApp: TestApp;
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let app: TestApp["app"];
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let adminToken: string;
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beforeAll(async () => {
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testApp = await buildTestApp();
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app = testApp.app;
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adminToken = await loginAsAdmin(app);
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}, 30_000);
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afterAll(async () => {
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await testApp.cleanup();
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}, 10_000);
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/** Helper to POST a multipart payload to a tool endpoint. */
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function postTool(
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toolId: string,
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fields: Array<{
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name: string;
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filename?: string;
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contentType?: string;
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content: Buffer | string;
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}>,
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) {
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const { body, contentType } = createMultipartPayload(fields);
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return app.inject({
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method: "POST",
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url: `/api/v1/tools/${toolId}`,
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headers: {
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"content-type": contentType,
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authorization: `Bearer ${adminToken}`,
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},
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body,
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});
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}
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/** Helper to POST a batch request. */
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function postBatch(
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toolId: string,
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fields: Array<{
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name: string;
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filename?: string;
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contentType?: string;
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content: Buffer | string;
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}>,
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) {
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const { body, contentType } = createMultipartPayload(fields);
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return app.inject({
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method: "POST",
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url: `/api/v1/tools/${toolId}/batch`,
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headers: {
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"content-type": contentType,
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authorization: `Bearer ${adminToken}`,
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},
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body,
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});
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}
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/** Helper to POST a pipeline execution request. */
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function executePipeline(
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image: Buffer,
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filename: string,
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pipeline: {
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steps: Array<{ toolId: string; settings?: Record<string, unknown> }>;
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},
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imgContentType = "image/png",
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) {
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const { body, contentType } = createMultipartPayload([
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{ name: "file", filename, content: image, contentType: imgContentType },
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{ name: "pipeline", content: JSON.stringify(pipeline) },
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]);
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return app.inject({
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method: "POST",
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url: "/api/v1/pipeline/execute",
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headers: {
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"content-type": contentType,
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authorization: `Bearer ${adminToken}`,
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},
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body,
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});
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}
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/** Helper to build an inject config for a tool request. */
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function buildToolRequest(
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toolId: string,
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image: Buffer,
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filename: string,
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settings: Record<string, unknown>,
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imgContentType = "image/png",
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) {
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const { body, contentType } = createMultipartPayload([
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{ name: "file", filename, content: image, contentType: imgContentType },
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{ name: "settings", content: JSON.stringify(settings) },
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]);
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return {
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method: "POST" as const,
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url: `/api/v1/tools/${toolId}`,
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headers: {
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"content-type": contentType,
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authorization: `Bearer ${adminToken}`,
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},
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body,
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};
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}
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// ###########################################################################
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// 1. CONCURRENT REQUESTS: 10 SIMULTANEOUS TO SAME TOOL WITH PIXEL VERIFICATION
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// Prior tests verify job IDs and URLs are unique but only spot-check pixel
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// dimensions on a few. This verifies ALL 10 downloads have correct pixels.
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// ###########################################################################
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describe("Concurrent: 10 simultaneous uploads to compress with output integrity", () => {
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it("10 concurrent compress requests with different quality levels produce distinct file sizes", async () => {
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const qualities = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100];
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// Use JPEG input so quality settings produce meaningful size differences
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// (PNG is lossless, so quality has no effect on output size)
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const results = await Promise.all(
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qualities.map((quality, i) =>
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app.inject(
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buildToolRequest(
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"compress",
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JPG_100x100,
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`compress-q${quality}-${i}.jpg`,
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{ quality },
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"image/jpeg",
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),
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),
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),
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);
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// All 10 must succeed
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for (const res of results) {
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expect(res.statusCode).toBe(200);
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}
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// Unique job IDs
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const jobIds = results.map((r) => JSON.parse(r.body).jobId);
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expect(new Set(jobIds).size).toBe(10);
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// Download ALL 10 outputs and verify they are valid images
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const downloadedSizes: number[] = [];
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for (const res of results) {
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const downloadUrl = JSON.parse(res.body).downloadUrl;
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const dlRes = await app.inject({
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method: "GET",
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url: downloadUrl,
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headers: { authorization: `Bearer ${adminToken}` },
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});
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expect(dlRes.statusCode).toBe(200);
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const meta = await sharp(dlRes.rawPayload).metadata();
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expect(meta.width).toBeGreaterThan(0);
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expect(meta.height).toBeGreaterThan(0);
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downloadedSizes.push(dlRes.rawPayload.length);
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}
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// Lower quality JPEG outputs should be smaller than higher quality.
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// q=10 must produce a smaller file than q=100.
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expect(downloadedSizes[0]).toBeLessThanOrEqual(downloadedSizes[9]);
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}, 120_000);
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it("10 concurrent rotate requests with different angles produce valid rotated outputs", async () => {
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const angles = [0, 36, 72, 108, 144, 180, 216, 252, 288, 324];
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const results = await Promise.all(
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angles.map((angle, i) =>
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app.inject(buildToolRequest("rotate", PNG_200x150, `rotate-${angle}-${i}.png`, { angle })),
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),
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);
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for (const res of results) {
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expect(res.statusCode).toBe(200);
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}
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// All job IDs unique
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const jobIds = results.map((r) => JSON.parse(r.body).jobId);
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expect(new Set(jobIds).size).toBe(10);
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// Verify 180-degree rotation: width/height should stay the same
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const dl180 = await app.inject({
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method: "GET",
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url: JSON.parse(results[5].body).downloadUrl,
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headers: { authorization: `Bearer ${adminToken}` },
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});
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const meta180 = await sharp(dl180.rawPayload).metadata();
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expect(meta180.width).toBe(200);
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expect(meta180.height).toBe(150);
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}, 120_000);
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});
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// ###########################################################################
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// 2. MEMORY PRESSURE: SEQUENTIAL STRESS-LARGE.JPG WITH TIMING DEGRADATION
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// Coverage-gaps has 50 sequential uploads. This tests 10 with strict timing
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// ratio enforcement and verifies output correctness of each.
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// ###########################################################################
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describe("Memory pressure: 10 sequential stress-large.jpg with strict timing checks", () => {
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it("processes stress-large.jpg through compress 10 times with bounded response time growth", async () => {
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const responseTimes: number[] = [];
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const outputSizes: number[] = [];
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for (let i = 0; i < 10; i++) {
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const start = Date.now();
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const res = await postTool("compress", [
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{
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name: "file",
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filename: `stress-compress-${i}.jpg`,
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content: STRESS_LARGE,
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contentType: "image/jpeg",
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},
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{ name: "settings", content: JSON.stringify({ quality: 50 }) },
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]);
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const elapsed = Date.now() - start;
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responseTimes.push(elapsed);
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expect(res.statusCode).toBe(200);
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const json = JSON.parse(res.body);
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expect(json.processedSize).toBeLessThan(json.originalSize);
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outputSizes.push(json.processedSize);
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}
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// All output sizes should be identical (same input + same settings = deterministic)
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const uniqueSizes = new Set(outputSizes);
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expect(uniqueSizes.size).toBe(1);
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// Timing: last 3 requests should not take more than 3x the average of the first 3
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const first3Avg = responseTimes.slice(0, 3).reduce((a, b) => a + b, 0) / 3;
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const last3Avg = responseTimes.slice(7, 10).reduce((a, b) => a + b, 0) / 3;
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expect(last3Avg).toBeLessThan(first3Avg * 3);
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}, 300_000);
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it("processes stress-large.jpg through border without crash", async () => {
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const res = await postTool("border", [
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{
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name: "file",
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filename: "stress-border.jpg",
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content: STRESS_LARGE,
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contentType: "image/jpeg",
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},
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{ name: "settings", content: JSON.stringify({ borderWidth: 20 }) },
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]);
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expect(res.statusCode).toBe(200);
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const json = JSON.parse(res.body);
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// Adding a border makes the image larger
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expect(json.processedSize).toBeGreaterThan(0);
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}, 60_000);
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});
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// ###########################################################################
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// 3. ZERO-BYTE FILES: THROUGH UNTESTED TOOLS
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// Prior tests cover resize, compress, convert, rotate, crop, border,
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// strip-metadata, text-overlay, color-palette, favicon. These hit the rest.
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// ###########################################################################
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describe("Zero-byte files through previously untested tools", () => {
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it("rejects zero-byte file to beautify with 400", async () => {
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const res = await postTool("beautify", [
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{
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name: "file",
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filename: "empty.png",
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content: Buffer.alloc(0),
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contentType: "image/png",
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},
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{ name: "settings", content: JSON.stringify({}) },
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]);
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expect(res.statusCode).toBe(400);
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const json = JSON.parse(res.body);
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expect(json.error).toBeDefined();
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});
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it("rejects zero-byte file to optimize-for-web with 400", async () => {
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const res = await postTool("optimize-for-web", [
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{
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name: "file",
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filename: "empty.jpg",
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content: Buffer.alloc(0),
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contentType: "image/jpeg",
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},
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{ name: "settings", content: JSON.stringify({}) },
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]);
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expect(res.statusCode).toBe(400);
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const json = JSON.parse(res.body);
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expect(json.error).toBeDefined();
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});
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it("rejects zero-byte file to sharpening with 400", async () => {
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const res = await postTool("sharpening", [
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{
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name: "file",
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filename: "empty.png",
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content: Buffer.alloc(0),
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contentType: "image/png",
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},
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{ name: "settings", content: JSON.stringify({ method: "adaptive" }) },
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]);
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expect(res.statusCode).toBe(400);
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const json = JSON.parse(res.body);
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expect(json.error).toBeDefined();
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});
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it("rejects zero-byte file to rotate with 400", async () => {
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const res = await postTool("rotate", [
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{
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name: "file",
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filename: "empty.webp",
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content: Buffer.alloc(0),
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contentType: "image/webp",
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},
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{ name: "settings", content: JSON.stringify({ angle: 90 }) },
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]);
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expect(res.statusCode).toBe(400);
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const json = JSON.parse(res.body);
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expect(json.error).toBeDefined();
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});
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it("rejects zero-byte file to info with 400", async () => {
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const res = await postTool("info", [
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{
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name: "file",
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filename: "empty.png",
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content: Buffer.alloc(0),
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contentType: "image/png",
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},
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]);
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expect(res.statusCode).toBe(400);
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const json = JSON.parse(res.body);
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expect(json.error).toBeDefined();
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});
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it("handles zero-byte file to image-to-base64 gracefully", async () => {
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// image-to-base64 converts the raw buffer to base64 without Sharp decoding,
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// so it may accept an empty file (returning empty base64) rather than 400.
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const res = await postTool("image-to-base64", [
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{
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name: "file",
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filename: "empty.png",
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content: Buffer.alloc(0),
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contentType: "image/png",
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},
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{ name: "settings", content: JSON.stringify({}) },
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]);
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// Either rejected (400) or accepted with empty result (200)
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expect([200, 400]).toContain(res.statusCode);
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});
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});
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// ###########################################################################
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// 4. CORRUPTED MAGIC BYTES: CROSS-FORMAT HEADER INJECTION
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// Existing tests cover JPEG-magic+garbage and PNG-magic+garbage. These test
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// the specific cross-injection: PNG header bytes on real JPEG data and
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// JPEG header bytes on real PNG data.
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// ###########################################################################
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describe("Corrupted magic bytes: cross-format header injection", () => {
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it("handles PNG magic bytes prepended to real JPEG data gracefully", async () => {
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// PNG signature (8 bytes) prepended to actual JPEG data
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const pngHeaderOnJpeg = Buffer.concat([
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Buffer.from([0x89, 0x50, 0x4e, 0x47, 0x0d, 0x0a, 0x1a, 0x0a]),
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JPG_100x100,
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]);
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const res = await postTool("resize", [
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{
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name: "file",
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filename: "png-header-jpeg-data.png",
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content: pngHeaderOnJpeg,
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contentType: "image/png",
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},
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{ name: "settings", content: JSON.stringify({ width: 50 }) },
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]);
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// Sharp may read the PNG header, fail to parse IHDR, and reject.
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// Or it may skip to the JPEG data. Either way, must not crash.
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expect([200, 400, 422]).toContain(res.statusCode);
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});
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it("handles JPEG SOI marker prepended to real PNG data gracefully", async () => {
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// JPEG start-of-image (FF D8 FF E0) prepended to actual PNG data
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const jpegHeaderOnPng = Buffer.concat([Buffer.from([0xff, 0xd8, 0xff, 0xe0]), PNG_200x150]);
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const res = await postTool("resize", [
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{
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name: "file",
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filename: "jpeg-header-png-data.jpg",
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content: jpegHeaderOnPng,
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contentType: "image/jpeg",
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},
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{ name: "settings", content: JSON.stringify({ width: 100 }) },
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]);
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// Sharp should try to decode as JPEG, fail, and return error gracefully
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expect([200, 400, 422]).toContain(res.statusCode);
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});
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it("handles WebP RIFF header prepended to real JPEG data gracefully", async () => {
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// WebP starts with "RIFF" + size + "WEBP"
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const webpHeaderOnJpeg = Buffer.concat([
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Buffer.from("RIFF"),
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Buffer.from([0x00, 0x00, 0x00, 0x00]),
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Buffer.from("WEBP"),
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JPG_100x100,
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]);
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const res = await postTool("compress", [
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{
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name: "file",
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filename: "webp-header-jpeg-data.webp",
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content: webpHeaderOnJpeg,
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contentType: "image/webp",
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},
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{ name: "settings", content: JSON.stringify({ quality: 50 }) },
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]);
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expect([200, 400, 422]).toContain(res.statusCode);
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});
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|
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it("handles GIF magic followed by real PNG data gracefully", async () => {
|
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// GIF89a header on PNG data
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const gifHeaderOnPng = Buffer.concat([Buffer.from("GIF89a"), PNG_200x150]);
|
||
|
||
const res = await postTool("resize", [
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||
{
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name: "file",
|
||
filename: "gif-header-png-data.gif",
|
||
content: gifHeaderOnPng,
|
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contentType: "image/gif",
|
||
},
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{ name: "settings", content: JSON.stringify({ width: 50 }) },
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||
]);
|
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|
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expect([200, 400, 422]).toContain(res.statusCode);
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});
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|
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it("handles truncated PNG signature (only 4 of 8 bytes) with real image after", async () => {
|
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// Partial PNG signature + real JPEG
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const partialPngOnJpeg = Buffer.concat([Buffer.from([0x89, 0x50, 0x4e, 0x47]), JPG_100x100]);
|
||
|
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const res = await postTool("compress", [
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||
{
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name: "file",
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||
filename: "partial-png-jpeg.png",
|
||
content: partialPngOnJpeg,
|
||
contentType: "image/png",
|
||
},
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||
{ name: "settings", content: JSON.stringify({ quality: 70 }) },
|
||
]);
|
||
|
||
expect([200, 400, 422]).toContain(res.statusCode);
|
||
});
|
||
});
|
||
|
||
// ###########################################################################
|
||
// 5. WRONG EXTENSION: .jpg CONTAINING PNG DATA WITH DOWNLOAD VERIFICATION
|
||
// Prior tests check status codes but never download + verify format metadata.
|
||
// ###########################################################################
|
||
describe("Wrong extension: format detection verified through download", () => {
|
||
it("processes .jpg file containing PNG data and output has correct dimensions", async () => {
|
||
const res = await postTool("resize", [
|
||
{
|
||
name: "file",
|
||
filename: "actually-png.jpg",
|
||
content: PNG_200x150,
|
||
contentType: "image/jpeg",
|
||
},
|
||
{ name: "settings", content: JSON.stringify({ width: 75 }) },
|
||
]);
|
||
|
||
expect(res.statusCode).toBe(200);
|
||
const json = JSON.parse(res.body);
|
||
|
||
// Download and verify
|
||
const dlRes = await app.inject({
|
||
method: "GET",
|
||
url: json.downloadUrl,
|
||
headers: { authorization: `Bearer ${adminToken}` },
|
||
});
|
||
expect(dlRes.statusCode).toBe(200);
|
||
const meta = await sharp(dlRes.rawPayload).metadata();
|
||
expect(meta.width).toBe(75);
|
||
});
|
||
|
||
it("processes .png file containing JPEG data and output has correct dimensions", async () => {
|
||
const res = await postTool("resize", [
|
||
{
|
||
name: "file",
|
||
filename: "actually-jpeg.png",
|
||
content: JPG_100x100,
|
||
contentType: "image/png",
|
||
},
|
||
{ name: "settings", content: JSON.stringify({ width: 40 }) },
|
||
]);
|
||
|
||
expect(res.statusCode).toBe(200);
|
||
const json = JSON.parse(res.body);
|
||
|
||
const dlRes = await app.inject({
|
||
method: "GET",
|
||
url: json.downloadUrl,
|
||
headers: { authorization: `Bearer ${adminToken}` },
|
||
});
|
||
expect(dlRes.statusCode).toBe(200);
|
||
const meta = await sharp(dlRes.rawPayload).metadata();
|
||
expect(meta.width).toBe(40);
|
||
});
|
||
|
||
it("processes .gif file containing WebP data through compress", async () => {
|
||
const res = await postTool("compress", [
|
||
{
|
||
name: "file",
|
||
filename: "actually-webp.gif",
|
||
content: WEBP_50x50,
|
||
contentType: "image/gif",
|
||
},
|
||
{ name: "settings", content: JSON.stringify({ quality: 60 }) },
|
||
]);
|
||
|
||
expect(res.statusCode).toBe(200);
|
||
const json = JSON.parse(res.body);
|
||
|
||
const dlRes = await app.inject({
|
||
method: "GET",
|
||
url: json.downloadUrl,
|
||
headers: { authorization: `Bearer ${adminToken}` },
|
||
});
|
||
expect(dlRes.statusCode).toBe(200);
|
||
const meta = await sharp(dlRes.rawPayload).metadata();
|
||
expect(meta.width).toBe(50);
|
||
expect(meta.height).toBe(50);
|
||
});
|
||
});
|
||
|
||
// ###########################################################################
|
||
// 6. UNICODE FILENAMES: PREVIOUSLY UNTESTED UNICODE PATTERNS
|
||
// Prior tests cover: emoji, CJK, RTL, path traversal, null bytes, ZWJ,
|
||
// spaces, special chars, long names. These test remaining patterns.
|
||
// ###########################################################################
|
||
describe("Unicode filenames: remaining untested patterns", () => {
|
||
it("handles filename with Unicode BOM prefix: \\uFEFFphoto.png", async () => {
|
||
const res = await postTool("resize", [
|
||
{
|
||
name: "file",
|
||
filename: "photo.png",
|
||
content: PNG_200x150,
|
||
contentType: "image/png",
|
||
},
|
||
{ name: "settings", content: JSON.stringify({ width: 80 }) },
|
||
]);
|
||
|
||
expect(res.statusCode).toBe(200);
|
||
const json = JSON.parse(res.body);
|
||
expect(json.downloadUrl).toBeDefined();
|
||
});
|
||
|
||
it("handles filename with combining diacritical marks: café.png (e + acute)", async () => {
|
||
const res = await postTool("compress", [
|
||
{
|
||
name: "file",
|
||
filename: "café.png",
|
||
content: PNG_200x150,
|
||
contentType: "image/png",
|
||
},
|
||
{ name: "settings", content: JSON.stringify({ quality: 80 }) },
|
||
]);
|
||
|
||
expect(res.statusCode).toBe(200);
|
||
});
|
||
|
||
it("handles filename with supplementary plane characters: \u{1D11E}.png (musical symbol)", async () => {
|
||
const res = await postTool("resize", [
|
||
{
|
||
name: "file",
|
||
filename: "\u{1D11E}.png",
|
||
content: PNG_200x150,
|
||
contentType: "image/png",
|
||
},
|
||
{ name: "settings", content: JSON.stringify({ width: 100 }) },
|
||
]);
|
||
|
||
expect(res.statusCode).toBe(200);
|
||
});
|
||
|
||
it("handles filename with mixed RTL and LTR with numbers: img_123_ملف.png", async () => {
|
||
const res = await postTool("rotate", [
|
||
{
|
||
name: "file",
|
||
filename: "img_123_ملف.png",
|
||
content: PNG_200x150,
|
||
contentType: "image/png",
|
||
},
|
||
{ name: "settings", content: JSON.stringify({ angle: 90 }) },
|
||
]);
|
||
|
||
expect(res.statusCode).toBe(200);
|
||
});
|
||
|
||
it("handles filename with Thai script: ภาพ.png", async () => {
|
||
const res = await postTool("compress", [
|
||
{
|
||
name: "file",
|
||
filename: "ภาพ.png",
|
||
content: PNG_200x150,
|
||
contentType: "image/png",
|
||
},
|
||
{ name: "settings", content: JSON.stringify({ quality: 70 }) },
|
||
]);
|
||
|
||
expect(res.statusCode).toBe(200);
|
||
});
|
||
|
||
it("handles filename with Cyrillic script: фото.png (foto)", async () => {
|
||
const res = await postTool("resize", [
|
||
{
|
||
name: "file",
|
||
filename: "фото.png",
|
||
content: PNG_200x150,
|
||
contentType: "image/png",
|
||
},
|
||
{ name: "settings", content: JSON.stringify({ width: 50 }) },
|
||
]);
|
||
|
||
expect(res.statusCode).toBe(200);
|
||
});
|
||
});
|
||
|
||
// ###########################################################################
|
||
// 7. EXTREME DIMENSIONS: 1x1 PIXEL THROUGH UNTESTED TOOLS
|
||
// Prior tests cover: resize, crop, rotate, compress, convert, border,
|
||
// strip-metadata, adjust-colors, favicon, color-palette, text-overlay,
|
||
// watermark-text, sharpening, image-to-base64. These hit the remaining ones.
|
||
// ###########################################################################
|
||
describe("1x1 pixel image through previously untested tools", () => {
|
||
it("beautifies a 1x1 pixel image without crash", async () => {
|
||
const res = await postTool("beautify", [
|
||
{
|
||
name: "file",
|
||
filename: "tiny.png",
|
||
content: PNG_1x1,
|
||
contentType: "image/png",
|
||
},
|
||
{ name: "settings", content: JSON.stringify({}) },
|
||
]);
|
||
|
||
expect([200, 422]).toContain(res.statusCode);
|
||
});
|
||
|
||
it("optimizes a 1x1 pixel image for web without crash", async () => {
|
||
const res = await postTool("optimize-for-web", [
|
||
{
|
||
name: "file",
|
||
filename: "tiny.png",
|
||
content: PNG_1x1,
|
||
contentType: "image/png",
|
||
},
|
||
{ name: "settings", content: JSON.stringify({}) },
|
||
]);
|
||
|
||
expect([200, 422]).toContain(res.statusCode);
|
||
});
|
||
|
||
it("replaces color in a 1x1 pixel image without crash", async () => {
|
||
const res = await postTool("replace-color", [
|
||
{
|
||
name: "file",
|
||
filename: "tiny.png",
|
||
content: PNG_1x1,
|
||
contentType: "image/png",
|
||
},
|
||
{
|
||
name: "settings",
|
||
content: JSON.stringify({
|
||
targetColor: "#000000",
|
||
replacementColor: "#FF0000",
|
||
tolerance: 50,
|
||
}),
|
||
},
|
||
]);
|
||
|
||
// May succeed or reject due to tiny image
|
||
expect([200, 400, 422]).toContain(res.statusCode);
|
||
});
|
||
|
||
it("gets info for a 1x1 pixel image", async () => {
|
||
const res = await postTool("info", [
|
||
{
|
||
name: "file",
|
||
filename: "tiny.png",
|
||
content: PNG_1x1,
|
||
contentType: "image/png",
|
||
},
|
||
]);
|
||
|
||
expect(res.statusCode).toBe(200);
|
||
const json = JSON.parse(res.body);
|
||
expect(json.width).toBe(1);
|
||
expect(json.height).toBe(1);
|
||
});
|
||
|
||
it("converts 1x1 pixel PNG to JPEG without crash", async () => {
|
||
const res = await postTool("convert", [
|
||
{
|
||
name: "file",
|
||
filename: "tiny.png",
|
||
content: PNG_1x1,
|
||
contentType: "image/png",
|
||
},
|
||
{ name: "settings", content: JSON.stringify({ format: "jpg" }) },
|
||
]);
|
||
|
||
expect([200, 400]).toContain(res.statusCode);
|
||
});
|
||
|
||
it("adds text overlay to 1x1 pixel image without crash", async () => {
|
||
const res = await postTool("text-overlay", [
|
||
{
|
||
name: "file",
|
||
filename: "tiny.png",
|
||
content: PNG_1x1,
|
||
contentType: "image/png",
|
||
},
|
||
{
|
||
name: "settings",
|
||
content: JSON.stringify({ text: "X", fontSize: 10 }),
|
||
},
|
||
]);
|
||
|
||
expect([200, 422]).toContain(res.statusCode);
|
||
});
|
||
|
||
it("processes 1x1 pixel through pipeline of 3 steps without crash", async () => {
|
||
const res = await executePipeline(PNG_1x1, "tiny-pipeline.png", {
|
||
steps: [
|
||
{ toolId: "resize", settings: { width: 100, height: 100 } },
|
||
{ toolId: "compress", settings: { quality: 80 } },
|
||
{ toolId: "border", settings: { borderWidth: 5 } },
|
||
],
|
||
});
|
||
|
||
expect(res.statusCode).toBe(200);
|
||
const json = JSON.parse(res.body);
|
||
expect(json.stepsCompleted).toBe(3);
|
||
});
|
||
});
|
||
|
||
// ###########################################################################
|
||
// 8. PIPELINE EDGE CASES: DEEP CHAINS, MID-CHAIN FAILURES, ALL-SAME
|
||
// Prior tests cover up to 25 steps, unknown tools, and format conversions.
|
||
// These test 50-step chains, failure recovery, and degenerate pipelines.
|
||
// ###########################################################################
|
||
describe("Pipeline edge cases: deep chains and degenerate cases", () => {
|
||
it("handles pipeline with 50 compress steps (deep chain)", async () => {
|
||
const steps = Array.from({ length: 50 }, () => ({
|
||
toolId: "compress",
|
||
settings: { quality: 99 },
|
||
}));
|
||
|
||
const res = await executePipeline(PNG_200x150, "deep-50.png", { steps });
|
||
|
||
// Should succeed (no MAX_PIPELINE_STEPS in test env) or be rejected
|
||
expect([200, 400]).toContain(res.statusCode);
|
||
if (res.statusCode === 200) {
|
||
const json = JSON.parse(res.body);
|
||
expect(json.stepsCompleted).toBe(50);
|
||
}
|
||
}, 120_000);
|
||
|
||
it("pipeline fails at step 3 (unknown tool) after 2 valid steps", async () => {
|
||
const res = await executePipeline(PNG_200x150, "mid-fail.png", {
|
||
steps: [
|
||
{ toolId: "resize", settings: { width: 100 } },
|
||
{ toolId: "compress", settings: { quality: 80 } },
|
||
{ toolId: "nonexistent-tool-xyz" },
|
||
],
|
||
});
|
||
|
||
// Should fail with clear error about the unknown tool
|
||
expect(res.statusCode).toBe(400);
|
||
const json = JSON.parse(res.body);
|
||
expect(json.error).toBeDefined();
|
||
});
|
||
|
||
it("pipeline with all border steps (10 consecutive borders)", async () => {
|
||
const steps = Array.from({ length: 10 }, () => ({
|
||
toolId: "border",
|
||
settings: { borderWidth: 2 },
|
||
}));
|
||
|
||
const res = await executePipeline(PNG_200x150, "all-borders.png", { steps });
|
||
|
||
expect(res.statusCode).toBe(200);
|
||
const json = JSON.parse(res.body);
|
||
expect(json.stepsCompleted).toBe(10);
|
||
// The processed image has more pixels due to borders, but the PNG
|
||
// compression may produce a smaller file. Just verify it produces output.
|
||
expect(json.processedSize).toBeGreaterThan(0);
|
||
}, 60_000);
|
||
|
||
it("pipeline with alternating format conversions: PNG -> WebP -> PNG -> WebP", async () => {
|
||
const res = await executePipeline(PNG_200x150, "format-flip.png", {
|
||
steps: [
|
||
{ toolId: "convert", settings: { format: "webp" } },
|
||
{ toolId: "convert", settings: { format: "png" } },
|
||
{ toolId: "convert", settings: { format: "webp" } },
|
||
{ toolId: "convert", settings: { format: "png" } },
|
||
],
|
||
});
|
||
|
||
expect(res.statusCode).toBe(200);
|
||
const json = JSON.parse(res.body);
|
||
expect(json.stepsCompleted).toBe(4);
|
||
});
|
||
|
||
it("pipeline where step 2 expects impossibly small crop after resize", async () => {
|
||
// Resize to 5x5, then crop 1x1 from offset 10,10 (out of bounds)
|
||
const res = await executePipeline(PNG_200x150, "impossible-crop.png", {
|
||
steps: [
|
||
{ toolId: "resize", settings: { width: 5, height: 5 } },
|
||
{ toolId: "crop", settings: { left: 10, top: 10, width: 1, height: 1 } },
|
||
],
|
||
});
|
||
|
||
// Crop offset exceeds 5x5 dimensions, should fail at step 2
|
||
expect([200, 422]).toContain(res.statusCode);
|
||
});
|
||
|
||
it("pipeline with single step that is an empty settings object", async () => {
|
||
// Compress with empty settings should use defaults
|
||
const res = await executePipeline(PNG_200x150, "empty-settings.png", {
|
||
steps: [{ toolId: "compress", settings: {} }],
|
||
});
|
||
|
||
// Should either succeed with default quality or fail gracefully
|
||
expect([200, 400, 422]).toContain(res.statusCode);
|
||
});
|
||
});
|
||
|
||
// ###########################################################################
|
||
// 9. BATCH LIMITS: LARGE COUNTS AND EDGE CASES
|
||
// Prior tests cover 11, 15, 20, 50 images. These test specific edge cases
|
||
// not previously covered.
|
||
// ###########################################################################
|
||
describe("Batch limits: additional edge cases", () => {
|
||
it("batch with only corrupted files returns 422 with all errors", async () => {
|
||
const garbage1 = Buffer.from(
|
||
Array.from({ length: 512 }, () => Math.floor(Math.random() * 256)),
|
||
);
|
||
const garbage2 = Buffer.from(
|
||
Array.from({ length: 256 }, () => Math.floor(Math.random() * 256)),
|
||
);
|
||
const garbage3 = Buffer.from("definitely not an image file at all");
|
||
|
||
const res = await postBatch("resize", [
|
||
{ name: "file", filename: "bad1.jpg", contentType: "image/jpeg", content: garbage1 },
|
||
{ name: "file", filename: "bad2.png", contentType: "image/png", content: garbage2 },
|
||
{ name: "file", filename: "bad3.webp", contentType: "image/webp", content: garbage3 },
|
||
{ name: "settings", content: JSON.stringify({ width: 50 }) },
|
||
]);
|
||
|
||
// All files failed -- should return 422
|
||
expect(res.statusCode).toBe(422);
|
||
const json = JSON.parse(res.body);
|
||
expect(json.error).toMatch(/all files failed/i);
|
||
expect(json.errors).toBeDefined();
|
||
expect(json.errors.length).toBe(3);
|
||
});
|
||
|
||
it("batch with mix of 1x1 pixel + large stress file processes both", async () => {
|
||
const res = await postBatch("resize", [
|
||
{
|
||
name: "file",
|
||
filename: "tiny.png",
|
||
contentType: "image/png",
|
||
content: PNG_1x1,
|
||
},
|
||
{
|
||
name: "file",
|
||
filename: "huge.jpg",
|
||
contentType: "image/jpeg",
|
||
content: STRESS_LARGE,
|
||
},
|
||
{ name: "settings", content: JSON.stringify({ width: 50 }) },
|
||
]);
|
||
|
||
expect(res.statusCode).toBe(200);
|
||
expect(res.headers["content-type"]).toBe("application/zip");
|
||
const fileResults = JSON.parse(decodeURIComponent(res.headers["x-file-results"] as string));
|
||
expect(Object.keys(fileResults).length).toBe(2);
|
||
}, 120_000);
|
||
|
||
it("batch with single valid file among 2 zero-byte files", async () => {
|
||
const res = await postBatch("compress", [
|
||
{
|
||
name: "file",
|
||
filename: "empty1.png",
|
||
contentType: "image/png",
|
||
content: Buffer.alloc(0),
|
||
},
|
||
{
|
||
name: "file",
|
||
filename: "valid.png",
|
||
contentType: "image/png",
|
||
content: PNG_200x150,
|
||
},
|
||
{
|
||
name: "file",
|
||
filename: "empty2.jpg",
|
||
contentType: "image/jpeg",
|
||
content: Buffer.alloc(0),
|
||
},
|
||
{ name: "settings", content: JSON.stringify({ quality: 70 }) },
|
||
]);
|
||
|
||
// Zero-byte files are skipped during parsing, only 1 valid file remains
|
||
expect(res.statusCode).toBe(200);
|
||
expect(res.headers["content-type"]).toBe("application/zip");
|
||
});
|
||
|
||
it("batch through convert tool with mixed formats", async () => {
|
||
const res = await postBatch("convert", [
|
||
{
|
||
name: "file",
|
||
filename: "photo.png",
|
||
contentType: "image/png",
|
||
content: PNG_200x150,
|
||
},
|
||
{
|
||
name: "file",
|
||
filename: "photo.jpg",
|
||
contentType: "image/jpeg",
|
||
content: JPG_100x100,
|
||
},
|
||
{
|
||
name: "file",
|
||
filename: "photo.webp",
|
||
contentType: "image/webp",
|
||
content: WEBP_50x50,
|
||
},
|
||
{ name: "settings", content: JSON.stringify({ format: "webp" }) },
|
||
]);
|
||
|
||
expect(res.statusCode).toBe(200);
|
||
expect(res.headers["content-type"]).toBe("application/zip");
|
||
const fileResults = JSON.parse(decodeURIComponent(res.headers["x-file-results"] as string));
|
||
expect(Object.keys(fileResults).length).toBe(3);
|
||
});
|
||
});
|
||
|
||
// ###########################################################################
|
||
// 10. SIMULTANEOUS BATCH + SINGLE + PIPELINE WITH CROSS-CONTAMINATION CHECKS
|
||
// Prior tests run batch+single or batch+single+pipeline but never verify
|
||
// the actual output content across all three. This test downloads and
|
||
// verifies pixel dimensions.
|
||
// ###########################################################################
|
||
describe("Simultaneous batch + single + pipeline with output verification", () => {
|
||
it("runs all three concurrently and verifies each output independently", async () => {
|
||
// Single: resize to 60px
|
||
const singleReq = app.inject(
|
||
buildToolRequest("resize", PNG_200x150, "single-verify.png", { width: 60 }),
|
||
);
|
||
|
||
// Batch: compress 2 images at quality 40
|
||
const batchPayload = createMultipartPayload([
|
||
{ name: "file", filename: "batch-v1.png", content: PNG_200x150, contentType: "image/png" },
|
||
{ name: "file", filename: "batch-v2.jpg", content: JPG_100x100, contentType: "image/jpeg" },
|
||
{ name: "settings", content: JSON.stringify({ quality: 40 }) },
|
||
]);
|
||
const batchReq = app.inject({
|
||
method: "POST",
|
||
url: "/api/v1/tools/compress/batch",
|
||
headers: {
|
||
"content-type": batchPayload.contentType,
|
||
authorization: `Bearer ${adminToken}`,
|
||
},
|
||
body: batchPayload.body,
|
||
});
|
||
|
||
// Pipeline: resize 80px + rotate 90deg
|
||
const pipelinePayload = createMultipartPayload([
|
||
{ name: "file", filename: "pipe-verify.png", content: PNG_200x150, contentType: "image/png" },
|
||
{
|
||
name: "pipeline",
|
||
content: JSON.stringify({
|
||
steps: [
|
||
{ toolId: "resize", settings: { width: 80 } },
|
||
{ toolId: "rotate", settings: { angle: 90 } },
|
||
],
|
||
}),
|
||
},
|
||
]);
|
||
const pipelineReq = app.inject({
|
||
method: "POST",
|
||
url: "/api/v1/pipeline/execute",
|
||
headers: {
|
||
"content-type": pipelinePayload.contentType,
|
||
authorization: `Bearer ${adminToken}`,
|
||
},
|
||
body: pipelinePayload.body,
|
||
});
|
||
|
||
const [singleRes, batchRes, pipelineRes] = await Promise.all([
|
||
singleReq,
|
||
batchReq,
|
||
pipelineReq,
|
||
]);
|
||
|
||
// All three must succeed
|
||
expect(singleRes.statusCode).toBe(200);
|
||
expect(batchRes.statusCode).toBe(200);
|
||
expect(pipelineRes.statusCode).toBe(200);
|
||
|
||
// Verify single: download and check width = 60
|
||
const singleBody = JSON.parse(singleRes.body);
|
||
const singleDl = await app.inject({
|
||
method: "GET",
|
||
url: singleBody.downloadUrl,
|
||
headers: { authorization: `Bearer ${adminToken}` },
|
||
});
|
||
expect(singleDl.statusCode).toBe(200);
|
||
const singleMeta = await sharp(singleDl.rawPayload).metadata();
|
||
expect(singleMeta.width).toBe(60);
|
||
|
||
// Verify batch: returns ZIP with 2 files
|
||
expect(batchRes.headers["content-type"]).toBe("application/zip");
|
||
const fileResults = JSON.parse(
|
||
decodeURIComponent(batchRes.headers["x-file-results"] as string),
|
||
);
|
||
expect(Object.keys(fileResults).length).toBe(2);
|
||
|
||
// Verify pipeline: download and check rotated dimensions
|
||
const pipeBody = JSON.parse(pipelineRes.body);
|
||
expect(pipeBody.stepsCompleted).toBe(2);
|
||
const pipeDl = await app.inject({
|
||
method: "GET",
|
||
url: pipeBody.downloadUrl,
|
||
headers: { authorization: `Bearer ${adminToken}` },
|
||
});
|
||
expect(pipeDl.statusCode).toBe(200);
|
||
const pipeMeta = await sharp(pipeDl.rawPayload).metadata();
|
||
// Resized to 80px width, then rotated 90 degrees swaps dimensions
|
||
// Height after resize maintains aspect ratio: 80 * (150/200) = 60
|
||
// After 90deg rotation: width=60, height=80
|
||
expect(pipeMeta.width).toBe(60);
|
||
expect(pipeMeta.height).toBe(80);
|
||
|
||
// Cross-contamination check: all job IDs must be unique
|
||
expect(singleBody.jobId).not.toBe(pipeBody.jobId);
|
||
}, 120_000);
|
||
|
||
it("fires 3 batches + 3 singles + 2 pipelines simultaneously", async () => {
|
||
const reqs = [
|
||
// 3 single requests to different tools
|
||
app.inject(buildToolRequest("resize", PNG_200x150, "s1.png", { width: 50 })),
|
||
app.inject(buildToolRequest("compress", PNG_200x150, "s2.png", { quality: 30 })),
|
||
app.inject(buildToolRequest("rotate", PNG_200x150, "s3.png", { angle: 180 })),
|
||
];
|
||
|
||
// 3 batch requests
|
||
for (let i = 0; i < 3; i++) {
|
||
const payload = createMultipartPayload([
|
||
{ name: "file", filename: `b${i}-1.png`, content: PNG_200x150, contentType: "image/png" },
|
||
{ name: "file", filename: `b${i}-2.jpg`, content: JPG_100x100, contentType: "image/jpeg" },
|
||
{ name: "settings", content: JSON.stringify({ width: 30 + i * 10 }) },
|
||
]);
|
||
reqs.push(
|
||
app.inject({
|
||
method: "POST",
|
||
url: "/api/v1/tools/resize/batch",
|
||
headers: {
|
||
"content-type": payload.contentType,
|
||
authorization: `Bearer ${adminToken}`,
|
||
},
|
||
body: payload.body,
|
||
}),
|
||
);
|
||
}
|
||
|
||
// 2 pipeline requests
|
||
for (let i = 0; i < 2; i++) {
|
||
const payload = createMultipartPayload([
|
||
{ name: "file", filename: `p${i}.png`, content: PNG_200x150, contentType: "image/png" },
|
||
{
|
||
name: "pipeline",
|
||
content: JSON.stringify({
|
||
steps: [
|
||
{ toolId: "resize", settings: { width: 60 + i * 20 } },
|
||
{ toolId: "compress", settings: { quality: 50 + i * 20 } },
|
||
],
|
||
}),
|
||
},
|
||
]);
|
||
reqs.push(
|
||
app.inject({
|
||
method: "POST",
|
||
url: "/api/v1/pipeline/execute",
|
||
headers: {
|
||
"content-type": payload.contentType,
|
||
authorization: `Bearer ${adminToken}`,
|
||
},
|
||
body: payload.body,
|
||
}),
|
||
);
|
||
}
|
||
|
||
const results = await Promise.all(reqs);
|
||
|
||
// All 8 requests must succeed
|
||
for (const res of results) {
|
||
expect(res.statusCode).toBe(200);
|
||
}
|
||
|
||
// Single request job IDs must be unique among themselves
|
||
const singleJobIds = results.slice(0, 3).map((r) => JSON.parse(r.body).jobId);
|
||
expect(new Set(singleJobIds).size).toBe(3);
|
||
|
||
// Pipeline job IDs must be unique
|
||
const pipeJobIds = results.slice(6, 8).map((r) => JSON.parse(r.body).jobId);
|
||
expect(new Set(pipeJobIds).size).toBe(2);
|
||
|
||
// No cross-contamination between single and pipeline job IDs
|
||
for (const pipeId of pipeJobIds) {
|
||
expect(singleJobIds).not.toContain(pipeId);
|
||
}
|
||
}, 120_000);
|
||
});
|
||
|
||
// ###########################################################################
|
||
// SERVER STABILITY AFTER ALL GAP-CLOSING TESTS
|
||
// ###########################################################################
|
||
describe("Server stability after final gap-closing tests", () => {
|
||
it("server remains healthy after all tests", async () => {
|
||
const healthRes = await app.inject({
|
||
method: "GET",
|
||
url: "/api/v1/health",
|
||
});
|
||
expect(healthRes.statusCode).toBe(200);
|
||
const json = JSON.parse(healthRes.body);
|
||
expect(json.status).toBe("healthy");
|
||
|
||
// Sanity: a normal request still works
|
||
const normalRes = await postTool("resize", [
|
||
{
|
||
name: "file",
|
||
filename: "final-sanity.png",
|
||
content: PNG_200x150,
|
||
contentType: "image/png",
|
||
},
|
||
{ name: "settings", content: JSON.stringify({ width: 100 }) },
|
||
]);
|
||
expect(normalRes.statusCode).toBe(200);
|
||
expect(JSON.parse(normalRes.body).jobId).toBeDefined();
|
||
});
|
||
});
|