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Add 42 new test files covering all untested tool routes, image engine internals, AI sidecar bridge, Zustand stores, and cross-format compatibility. Expand e2e-docker suite with 7 spec files covering all 48 tools against a real Docker container. Unit tests: - Image engine: format detection, MIME mapping, metadata parsing, pipeline - AI bridge: sidecar lifecycle, all 11 tool functions (mocked) - Web stores: 14 Zustand stores (collage, settings, features, analytics, etc.) - API helpers: format decoders, page range, file validation Integration tests: - 25 tool routes that had zero dedicated tests - Cross-format matrix: 17 input formats x 3 tools - Edge cases: zero-byte files, corrupted headers, path traversal, XSS, SQL injection - Concurrent request handling and pipeline edge cases E2E-Docker (Playwright against real container): - 7 spec files: essential, adjustment, conversion, creative, utility, AI, pipeline - Custom buildMultipart helper for multi-file tool uploads - AI tools gracefully skip when sidecar not installed Fixtures: - Organized test media: formats/ (18 formats) + content/ (17 content types) - Reduced from 3.1 GB unorganized samples to 33 MB structured fixtures Bug fix: - color-adjustments: gamma exposure used invalid single-param gamma() for positive values; fixed to use two-param gamma(gammaIn, gammaOut) form
311 lines
10 KiB
TypeScript
311 lines
10 KiB
TypeScript
/**
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* Integration tests for the image-enhancement tool.
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*
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* This is a Sharp-based tool (not AI sidecar) that analyzes and auto-enhances
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* images. Tests all modes (auto, portrait, landscape, low-light, food, document),
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* intensity parameter, selective corrections, and the analyze endpoint.
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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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const FIXTURES = join(__dirname, "..", "fixtures");
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const PNG = readFileSync(join(FIXTURES, "test-200x150.png"));
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const JPG = readFileSync(join(FIXTURES, "test-100x100.jpg"));
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const WEBP = readFileSync(join(FIXTURES, "test-50x50.webp"));
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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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function makePayload(
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settings: Record<string, unknown>,
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buffer: Buffer = PNG,
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filename = "test.png",
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contentType = "image/png",
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) {
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return createMultipartPayload([
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{ name: "file", filename, contentType, content: buffer },
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{ name: "settings", content: JSON.stringify(settings) },
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]);
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}
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async function postTool(
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settings: Record<string, unknown>,
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buffer?: Buffer,
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filename?: string,
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ct?: string,
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) {
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const { body: payload, contentType } = makePayload(settings, buffer, filename, ct);
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return app.inject({
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method: "POST",
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url: "/api/v1/tools/image-enhancement",
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payload,
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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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});
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}
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// ── Auto mode (default) ───────────────────────────────────────────
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describe("Auto mode", () => {
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it("enhances with default settings", async () => {
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const res = await postTool({});
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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expect(result.downloadUrl).toBeDefined();
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expect(result.processedSize).toBeGreaterThan(0);
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});
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it("enhances with explicit auto mode", async () => {
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const res = await postTool({ mode: "auto" });
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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expect(result.downloadUrl).toBeDefined();
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});
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});
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// ── All enhancement modes ─────────────────────────────────────────
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describe("Enhancement modes", () => {
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it("enhances in portrait mode", async () => {
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const res = await postTool({ mode: "portrait" });
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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expect(result.downloadUrl).toBeDefined();
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});
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it("enhances in landscape mode", async () => {
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const res = await postTool({ mode: "landscape" });
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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expect(result.downloadUrl).toBeDefined();
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});
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it("enhances in low-light mode", async () => {
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const res = await postTool({ mode: "low-light" });
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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expect(result.downloadUrl).toBeDefined();
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});
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it("enhances in food mode", async () => {
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const res = await postTool({ mode: "food" });
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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expect(result.downloadUrl).toBeDefined();
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});
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it("enhances in document mode", async () => {
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const res = await postTool({ mode: "document" });
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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expect(result.downloadUrl).toBeDefined();
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});
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});
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// ── Intensity parameter ───────────────────────────────────────────
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describe("Intensity parameter", () => {
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it("enhances at minimum intensity (0)", async () => {
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const res = await postTool({ intensity: 0 });
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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expect(result.downloadUrl).toBeDefined();
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});
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it("enhances at maximum intensity (100)", async () => {
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const res = await postTool({ intensity: 100 });
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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expect(result.downloadUrl).toBeDefined();
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});
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it("enhances at mid intensity (50, default)", async () => {
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const res = await postTool({ intensity: 50 });
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expect(res.statusCode).toBe(200);
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});
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});
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// ── Selective corrections ─────────────────────────────────────────
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describe("Selective corrections", () => {
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it("disables all corrections except exposure", async () => {
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const res = await postTool({
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corrections: {
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exposure: true,
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contrast: false,
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whiteBalance: false,
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saturation: false,
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sharpness: false,
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denoise: false,
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},
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});
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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expect(result.downloadUrl).toBeDefined();
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});
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it("enables only sharpness and denoise", async () => {
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const res = await postTool({
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corrections: {
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exposure: false,
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contrast: false,
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whiteBalance: false,
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saturation: false,
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sharpness: true,
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denoise: true,
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},
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});
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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expect(result.downloadUrl).toBeDefined();
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});
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it("disables all corrections", async () => {
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const res = await postTool({
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corrections: {
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exposure: false,
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contrast: false,
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whiteBalance: false,
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saturation: false,
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sharpness: false,
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denoise: false,
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},
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});
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expect(res.statusCode).toBe(200);
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});
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});
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// ── Output verification ──────────────────────────────────────────
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describe("Output verification", () => {
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it("output differs from input", async () => {
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const res = await postTool({ mode: "auto", intensity: 80 });
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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const dlRes = await app.inject({
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method: "GET",
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url: result.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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expect(Buffer.compare(dlRes.rawPayload, PNG)).not.toBe(0);
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});
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it("preserves image dimensions", async () => {
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const res = await postTool({ mode: "auto" });
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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const dlRes = await app.inject({
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method: "GET",
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url: result.downloadUrl,
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headers: { authorization: `Bearer ${adminToken}` },
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});
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const meta = await sharp(dlRes.rawPayload).metadata();
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expect(meta.width).toBe(200);
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expect(meta.height).toBe(150);
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});
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});
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// ── Analyze endpoint ──────────────────────────────────────────────
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describe("Analyze endpoint", () => {
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it("returns analysis data for an image", async () => {
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const { body: payload, contentType } = createMultipartPayload([
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{ name: "file", filename: "test.png", contentType: "image/png", content: PNG },
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]);
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const res = await app.inject({
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method: "POST",
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url: "/api/v1/tools/image-enhancement/analyze",
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payload,
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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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});
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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// Analysis should return corrections object
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expect(result.corrections).toBeDefined();
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});
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it("analyze returns 400 when no file is provided", async () => {
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const { body: payload, contentType } = createMultipartPayload([
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{ name: "other", content: "nothing" },
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]);
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const res = await app.inject({
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method: "POST",
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url: "/api/v1/tools/image-enhancement/analyze",
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payload,
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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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});
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expect(res.statusCode).toBe(400);
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});
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});
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// ── Multiple input formats ────────────────────────────────────────
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describe("Multiple input formats", () => {
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it("enhances JPEG input", async () => {
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const res = await postTool({ mode: "auto" }, JPG, "test.jpg", "image/jpeg");
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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expect(result.downloadUrl).toBeDefined();
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});
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it("enhances WebP input", async () => {
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const res = await postTool({ mode: "auto" }, WEBP, "test.webp", "image/webp");
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expect(res.statusCode).toBe(200);
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const result = JSON.parse(res.body);
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expect(result.downloadUrl).toBeDefined();
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});
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});
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// ── Error handling ────────────────────────────────────────────────
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describe("Error handling", () => {
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it("returns 400 when no file is provided", async () => {
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const { body: payload, contentType } = createMultipartPayload([
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{ name: "settings", content: JSON.stringify({ mode: "auto" }) },
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]);
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const res = await app.inject({
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method: "POST",
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url: "/api/v1/tools/image-enhancement",
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payload,
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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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});
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expect(res.statusCode).toBe(400);
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});
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it("returns 400 for invalid mode", async () => {
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const res = await postTool({ mode: "hdr" });
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expect(res.statusCode).toBe(400);
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});
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it("returns 400 for intensity out of range (negative)", async () => {
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const res = await postTool({ intensity: -10 });
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expect(res.statusCode).toBe(400);
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});
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it("returns 400 for intensity out of range (>100)", async () => {
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const res = await postTool({ intensity: 150 });
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expect(res.statusCode).toBe(400);
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});
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});
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