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# Conflicts: # tests/integration/generated/settings-matrix.test.ts # tests/integration/platform/api.test.ts # tests/integration/platform/concurrent.test.ts # tests/integration/platform/factory-multi-input.test.ts # tests/integration/security/adversarial-comprehensive.test.ts # tests/integration/security/adversarial-coverage-gaps.test.ts # tests/integration/security/adversarial-extended.test.ts # tests/integration/security/adversarial-final-gaps.test.ts # tests/integration/security/adversarial-matrix.test.ts # tests/integration/security/adversarial-security.test.ts # tests/integration/security/adversarial.test.ts # tests/integration/tools/image/color-adjustments.test.ts
211 lines
6.3 KiB
TypeScript
211 lines
6.3 KiB
TypeScript
/**
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* Integration tests for the circle-crop tool (/api/v1/tools/image/circle-crop).
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*
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* Covers circular masking, PNG output, corner alpha transparency,
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* and center pixel opacity.
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*/
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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 { fixtures, readFixture } from "../../../fixtures/index.js";
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import {
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buildTestApp,
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createMultipartPayload,
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loginAsAdmin,
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type TestApp,
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} from "../../test-server.js";
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const PNG = readFixture(fixtures.image.base.png200);
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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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describe("Circle Crop", () => {
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it("produces a circular crop as PNG", async () => {
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const { body, contentType } = createMultipartPayload([
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{ name: "file", filename: "test.png", contentType: "image/png", content: PNG },
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{ name: "settings", content: JSON.stringify({}) },
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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/circle-crop",
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headers: {
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authorization: `Bearer ${adminToken}`,
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"content-type": contentType,
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},
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body,
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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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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.format).toBe("png");
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// Output should be square: min(200, 150) = 150
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expect(meta.width).toBe(150);
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expect(meta.height).toBe(150);
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});
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it("corner pixel has alpha 0 (transparent)", async () => {
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const { body, contentType } = createMultipartPayload([
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{ name: "file", filename: "test.png", contentType: "image/png", content: PNG },
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{ name: "settings", content: JSON.stringify({}) },
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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/circle-crop",
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headers: {
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authorization: `Bearer ${adminToken}`,
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"content-type": contentType,
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},
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body,
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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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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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// Read raw RGBA pixels and check corner (1,1) alpha
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const rawMeta = await sharp(dlRes.rawPayload).raw().toBuffer({ resolveWithObject: true });
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const { data, info } = rawMeta;
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// Pixel at (1, 1): offset = (1 * info.width + 1) * info.channels
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const offset = (1 * info.width + 1) * info.channels;
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const alpha = data[offset + 3]; // 4th channel = alpha
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expect(alpha).toBe(0);
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});
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it("center pixel has alpha 255 (opaque)", async () => {
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const { body, contentType } = createMultipartPayload([
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{ name: "file", filename: "test.png", contentType: "image/png", content: PNG },
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{ name: "settings", content: JSON.stringify({}) },
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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/circle-crop",
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headers: {
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authorization: `Bearer ${adminToken}`,
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"content-type": contentType,
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},
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body,
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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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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 rawMeta = await sharp(dlRes.rawPayload).raw().toBuffer({ resolveWithObject: true });
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const { data, info } = rawMeta;
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// Center pixel
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const cx = Math.floor(info.width / 2);
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const cy = Math.floor(info.height / 2);
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const offset = (cy * info.width + cx) * info.channels;
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const alpha = data[offset + 3];
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expect(alpha).toBe(255);
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});
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it("always outputs PNG regardless of input format", async () => {
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const JPG = readFixture(fixtures.image.base.jpg100);
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const { body, contentType } = createMultipartPayload([
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{ name: "file", filename: "test.jpg", contentType: "image/jpeg", content: JPG },
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{ name: "settings", content: JSON.stringify({}) },
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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/circle-crop",
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headers: {
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authorization: `Bearer ${adminToken}`,
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"content-type": contentType,
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},
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body,
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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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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.format).toBe("png");
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expect(meta.channels).toBe(4);
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});
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it("applies output size, border, and a solid background", async () => {
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const { body, contentType } = createMultipartPayload([
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{ name: "file", filename: "test.png", contentType: "image/png", content: PNG },
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{
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name: "settings",
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content: JSON.stringify({
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zoom: 2,
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offsetX: 0.5,
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offsetY: 0.5,
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borderWidth: 10,
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borderColor: "#ff0000",
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background: "#0000ff",
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outputSize: 128,
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}),
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},
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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/circle-crop",
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headers: { authorization: `Bearer ${adminToken}`, "content-type": contentType },
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body,
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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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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.format).toBe("png");
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// outputSize forces a square 128x128 result
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expect(meta.width).toBe(128);
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expect(meta.height).toBe(128);
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// A solid background makes the corners opaque (the default is transparent).
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const { data, info } = await sharp(dlRes.rawPayload)
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.raw()
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.toBuffer({ resolveWithObject: true });
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const corner = (1 * info.width + 1) * info.channels;
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expect(data[corner + 3]).toBe(255);
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});
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});
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