feat: 完善视频任务与 KOC 资源库

tests/workbook-image.test.mjs

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+import assert from "node:assert/strict";
+import test from "node:test";
+import sharp from "sharp";
+import { normalizeWorkbookImage } from "../lib/workbook-image.ts";
+
+test("bakes EXIF orientation into exported workbook image pixels", async () => {
+  const source = await sharp({
+    create: {
+      width: 8,
+      height: 4,
+      channels: 3,
+      background: "#e95420",
+    },
+  })
+    .jpeg()
+    .withMetadata({ orientation: 6 })
+    .toBuffer();
+
+  const normalized = await normalizeWorkbookImage({
+    bytes: new Uint8Array(source),
+    contentType: "image/jpeg",
+    width: 8,
+    height: 4,
+    description: "手机照片",
+  });
+  const metadata = await sharp(normalized.bytes).metadata();
+
+  assert.equal(normalized.contentType, "image/png");
+  assert.equal(normalized.width, 4);
+  assert.equal(normalized.height, 8);
+  assert.equal(metadata.width, 4);
+  assert.equal(metadata.height, 8);
+  assert.equal(metadata.orientation, undefined);
+});
+
+test("keeps unsupported image bytes unchanged", async () => {
+  const bytes = Uint8Array.from([1, 2, 3]);
+  const normalized = await normalizeWorkbookImage({
+    bytes,
+    contentType: "application/octet-stream",
+    description: "未知文件",
+  });
+  assert.equal(normalized.bytes, bytes);
+  assert.equal(normalized.contentType, "application/octet-stream");
+});
+
+test("normalizes recognizable images even when storage metadata has no image MIME type", async () => {
+  const source = await sharp({
+    create: {
+      width: 8,
+      height: 4,
+      channels: 3,
+      background: "#22c55e",
+    },
+  })
+    .jpeg()
+    .withMetadata({ orientation: 6 })
+    .toBuffer();
+  const normalized = await normalizeWorkbookImage({
+    bytes: new Uint8Array(source),
+    contentType: "application/octet-stream",
+    description: "方向元数据缺失测试",
+  });
+
+  assert.equal(normalized.contentType, "image/png");
+  assert.equal(normalized.width, 4);
+  assert.equal(normalized.height, 8);
+});
+
+test("can downsize full-resolution source images for compact workbook exports", async () => {
+  const source = await sharp({
+    create: {
+      width: 4000,
+      height: 3000,
+      channels: 3,
+      background: "#d4a72c",
+    },
+  })
+    .png({ compressionLevel: 0 })
+    .toBuffer();
+  const normalized = await normalizeWorkbookImage(
+    {
+      bytes: new Uint8Array(source),
+      contentType: "image/png",
+      width: 4000,
+      height: 3000,
+      description: "批量回填原图",
+    },
+    { maxDimension: 1600, outputFormat: "jpeg", jpegQuality: 82 },
+  );
+  const metadata = await sharp(normalized.bytes).metadata();
+
+  assert.equal(normalized.contentType, "image/jpeg");
+  assert.equal(normalized.width, 1600);
+  assert.equal(normalized.height, 1200);
+  assert.equal(metadata.format, "jpeg");
+  assert.ok(normalized.bytes.byteLength < source.byteLength / 20);
+});