feat(tools): 2.0 phase 5 wave 5a - image gap-fill (11 tools) (#225)

tests/integration/circle-crop.test.ts

@@ -0,0 +1,162 @@
+/**
+ * Integration tests for the circle-crop tool (/api/v1/tools/circle-crop).
+ *
+ * Covers circular masking, PNG output, corner alpha transparency,
+ * and center pixel opacity.
+ */
+
+import { readFileSync } from "node:fs";
+import { join } from "node:path";
+import sharp from "sharp";
+import { afterAll, beforeAll, describe, expect, it } from "vitest";
+import { buildTestApp, createMultipartPayload, loginAsAdmin, type TestApp } from "./test-server.js";
+
+const FIXTURES = join(__dirname, "..", "fixtures");
+const PNG = readFileSync(join(FIXTURES, "test-200x150.png"));
+
+let testApp: TestApp;
+let app: TestApp["app"];
+let adminToken: string;
+
+beforeAll(async () => {
+  testApp = await buildTestApp();
+  app = testApp.app;
+  adminToken = await loginAsAdmin(app);
+}, 30_000);
+
+afterAll(async () => {
+  await testApp.cleanup();
+}, 10_000);
+
+describe("Circle Crop", () => {
+  it("produces a circular crop as PNG", async () => {
+    const { body, contentType } = createMultipartPayload([
+      { name: "file", filename: "test.png", contentType: "image/png", content: PNG },
+      { name: "settings", content: JSON.stringify({}) },
+    ]);
+
+    const res = await app.inject({
+      method: "POST",
+      url: "/api/v1/tools/circle-crop",
+      headers: {
+        authorization: `Bearer ${adminToken}`,
+        "content-type": contentType,
+      },
+      body,
+    });
+
+    expect(res.statusCode).toBe(200);
+    const result = JSON.parse(res.body);
+    expect(result.downloadUrl).toBeDefined();
+
+    const dlRes = await app.inject({
+      method: "GET",
+      url: result.downloadUrl,
+      headers: { authorization: `Bearer ${adminToken}` },
+    });
+    const meta = await sharp(dlRes.rawPayload).metadata();
+    expect(meta.format).toBe("png");
+    // Output should be square: min(200, 150) = 150
+    expect(meta.width).toBe(150);
+    expect(meta.height).toBe(150);
+  });
+
+  it("corner pixel has alpha 0 (transparent)", async () => {
+    const { body, contentType } = createMultipartPayload([
+      { name: "file", filename: "test.png", contentType: "image/png", content: PNG },
+      { name: "settings", content: JSON.stringify({}) },
+    ]);
+
+    const res = await app.inject({
+      method: "POST",
+      url: "/api/v1/tools/circle-crop",
+      headers: {
+        authorization: `Bearer ${adminToken}`,
+        "content-type": contentType,
+      },
+      body,
+    });
+
+    expect(res.statusCode).toBe(200);
+    const result = JSON.parse(res.body);
+
+    const dlRes = await app.inject({
+      method: "GET",
+      url: result.downloadUrl,
+      headers: { authorization: `Bearer ${adminToken}` },
+    });
+
+    // Read raw RGBA pixels and check corner (1,1) alpha
+    const rawMeta = await sharp(dlRes.rawPayload).raw().toBuffer({ resolveWithObject: true });
+    const { data, info } = rawMeta;
+    // Pixel at (1, 1): offset = (1 * info.width + 1) * info.channels
+    const offset = (1 * info.width + 1) * info.channels;
+    const alpha = data[offset + 3]; // 4th channel = alpha
+    expect(alpha).toBe(0);
+  });
+
+  it("center pixel has alpha 255 (opaque)", async () => {
+    const { body, contentType } = createMultipartPayload([
+      { name: "file", filename: "test.png", contentType: "image/png", content: PNG },
+      { name: "settings", content: JSON.stringify({}) },
+    ]);
+
+    const res = await app.inject({
+      method: "POST",
+      url: "/api/v1/tools/circle-crop",
+      headers: {
+        authorization: `Bearer ${adminToken}`,
+        "content-type": contentType,
+      },
+      body,
+    });
+
+    expect(res.statusCode).toBe(200);
+    const result = JSON.parse(res.body);
+
+    const dlRes = await app.inject({
+      method: "GET",
+      url: result.downloadUrl,
+      headers: { authorization: `Bearer ${adminToken}` },
+    });
+
+    const rawMeta = await sharp(dlRes.rawPayload).raw().toBuffer({ resolveWithObject: true });
+    const { data, info } = rawMeta;
+    // Center pixel
+    const cx = Math.floor(info.width / 2);
+    const cy = Math.floor(info.height / 2);
+    const offset = (cy * info.width + cx) * info.channels;
+    const alpha = data[offset + 3];
+    expect(alpha).toBe(255);
+  });
+
+  it("always outputs PNG regardless of input format", async () => {
+    const JPG = readFileSync(join(FIXTURES, "test-100x100.jpg"));
+    const { body, contentType } = createMultipartPayload([
+      { name: "file", filename: "test.jpg", contentType: "image/jpeg", content: JPG },
+      { name: "settings", content: JSON.stringify({}) },
+    ]);
+
+    const res = await app.inject({
+      method: "POST",
+      url: "/api/v1/tools/circle-crop",
+      headers: {
+        authorization: `Bearer ${adminToken}`,
+        "content-type": contentType,
+      },
+      body,
+    });
+
+    expect(res.statusCode).toBe(200);
+    const result = JSON.parse(res.body);
+
+    const dlRes = await app.inject({
+      method: "GET",
+      url: result.downloadUrl,
+      headers: { authorization: `Bearer ${adminToken}` },
+    });
+    const meta = await sharp(dlRes.rawPayload).metadata();
+    expect(meta.format).toBe("png");
+    expect(meta.channels).toBe(4);
+  });
+});