task-22: 店铺 Excel 图片缓存替换为有界字节缓存
BoundedImageCache（字节预算+条目上限，FIFO 淘汰，超预算单图拒绝）替换 ShopDataCrawlExcelAssemblyService 中的无界 ConcurrentHashMap；单图超预算时 embed 走原有直接下载兜底。全量测试 524 通过。
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package com.nanri.aiimage.modules.shopdatacrawl.util;
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import com.nanri.aiimage.modules.shopdatacrawl.model.dto.ShopDataCrawlCountryResultDto;
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import com.nanri.aiimage.modules.shopdatacrawl.model.dto.ShopDataCrawlRowDto;
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import com.nanri.aiimage.modules.shopdatacrawl.model.vo.ShopDataCrawlResultItemVo;
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import com.nanri.aiimage.modules.shopdatacrawl.service.ShopDataCrawlExcelAssemblyService;
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import com.nanri.aiimage.modules.similarasin.util.SimilarAsinImageEmbedder;
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import org.apache.poi.xssf.usermodel.XSSFWorkbook;
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import org.junit.jupiter.api.Test;
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import org.junit.jupiter.api.io.TempDir;
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import javax.imageio.ImageIO;
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import java.awt.image.BufferedImage;
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import java.io.ByteArrayOutputStream;
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import java.io.File;
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import java.io.FileInputStream;
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import java.nio.file.Path;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.Map;
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import static org.junit.jupiter.api.Assertions.assertEquals;
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import static org.junit.jupiter.api.Assertions.assertNotNull;
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import static org.junit.jupiter.api.Assertions.assertNull;
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import static org.junit.jupiter.api.Assertions.assertThrows;
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import static org.junit.jupiter.api.Assertions.assertTrue;
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import static org.mockito.Mockito.mock;
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import static org.mockito.Mockito.when;
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/**
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* Task 22：将店铺 Excel 图片缓存替换为有界字节缓存。
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* BoundedImageCache 以总字节预算 + 条目上限约束图片缓存，超过预算按 FIFO 淘汰最旧条目，
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* 单图超过预算时拒绝缓存（embed 阶段走原有直接下载兜底），保证内存峰值有界。
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* ShopDataCrawlExcelAssemblyService 的 workbook 组装改用该缓存，语义与无界缓存一致。
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*/
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class ShopDataCrawlBoundedImageCacheTest {
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@TempDir Path tempDir;
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private static final String URL_A = "https://thumb.example/A.jpg";
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private static final String URL_B = "https://thumb.example/B.jpg";
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private static final String URL_C = "https://thumb.example/C.jpg";
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@Test
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void test_task_022_image_cache_excel_normal_default_path() {
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// 正常输入：预算充足时全部放入，get 命中，字节合计正确，无淘汰。
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BoundedImageCache cache = new BoundedImageCache(10_000, 100);
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SimilarAsinImageEmbedder.ResizedImage imageA = resizedImage(100);
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SimilarAsinImageEmbedder.ResizedImage imageB = resizedImage(200);
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cache.put(URL_A, imageA);
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cache.put(URL_B, imageB);
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assertEquals(imageA, cache.get(URL_A), "A 命中");
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assertEquals(imageB, cache.get(URL_B), "B 命中");
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assertEquals(300, cache.sizeBytes(), "字节合计正确");
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assertEquals(2, cache.size());
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assertEquals(0, cache.evictionCount(), "预算充足不淘汰");
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assertEquals(0, cache.rejectedCount(), "无拒绝");
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}
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@Test
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void test_task_022_image_cache_excel_normal_multiple_items() {
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// 批量场景：大量图片超过字节预算 → 最旧条目被淘汰，最新条目可命中，总字节有界。
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BoundedImageCache cache = new BoundedImageCache(1_000, 100);
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List<SimilarAsinImageEmbedder.ResizedImage> images = new ArrayList<>();
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for (int i = 0; i < 50; i++) {
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SimilarAsinImageEmbedder.ResizedImage image = resizedImage(100);
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images.add(image);
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cache.put(URL_A + i, image);
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}
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assertTrue(cache.sizeBytes() <= 1_000, "总字节不得超过预算，实际=" + cache.sizeBytes());
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assertTrue(cache.size() <= 10, "1_000 预算 / 100 每图最多容纳 10 张");
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assertTrue(cache.evictionCount() >= 40, "超出部分被淘汰");
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assertNull(cache.get(URL_A + "0"), "最旧条目已淘汰");
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assertNotNull(cache.get(URL_A + "49"), "最新条目仍可命中");
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}
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@Test
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void test_task_022_image_cache_excel_normal_repeated_operation_is_idempotent() {
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// 重复执行：同一 URL 重复 put 替换不增加字节；putIfAbsent 不覆盖已有值。
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BoundedImageCache cache = new BoundedImageCache(1_000, 100);
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SimilarAsinImageEmbedder.ResizedImage first = resizedImage(100);
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SimilarAsinImageEmbedder.ResizedImage second = resizedImage(100);
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cache.put(URL_A, first);
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cache.put(URL_A, second);
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assertEquals(100, cache.sizeBytes(), "替换不重复计入字节");
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assertEquals(1, cache.size());
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SimilarAsinImageEmbedder.ResizedImage replaced = cache.putIfAbsent(URL_A, resizedImage(200));
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assertEquals(second, replaced, "putIfAbsent 返回已有值");
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assertEquals(100, cache.sizeBytes(), "putIfAbsent 不替换字节");
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assertEquals(0, cache.evictionCount(), "重复操作不触发淘汰");
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}
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@Test
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void test_task_022_image_cache_excel_boundary_empty_input() {
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// 空输入：空缓存 get 返回 null；null/空集合安全。
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BoundedImageCache cache = new BoundedImageCache(1_000, 100);
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assertNull(cache.get(URL_A));
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assertEquals(0, cache.size());
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assertEquals(0, cache.sizeBytes());
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assertNull(cache.putIfAbsent(null, resizedImage(10)), "null key 不放入");
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assertEquals(0, cache.size());
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}
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@Test
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void test_task_022_image_cache_excel_boundary_single_item() {
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// 单元素边界：单图恰好等于预算可放入；剩余预算恰够时刚好放下。
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BoundedImageCache exact = new BoundedImageCache(100, 100);
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SimilarAsinImageEmbedder.ResizedImage image = resizedImage(100);
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exact.put(URL_A, image);
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assertEquals(image, exact.get(URL_A), "单图等于预算可缓存");
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assertEquals(100, exact.sizeBytes());
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BoundedImageCache tight = new BoundedImageCache(150, 100);
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tight.put(URL_A, resizedImage(100));
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tight.put(URL_B, resizedImage(50));
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assertEquals(2, tight.size(), "剩余预算恰够时恰好放下");
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assertEquals(0, tight.evictionCount());
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}
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@Test
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void test_task_022_image_cache_excel_boundary_limit_and_overflow() {
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// 上限/超限：单图超过预算被拒绝缓存且不占用预算；总字节永不超过预算。
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BoundedImageCache cache = new BoundedImageCache(100, 100);
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SimilarAsinImageEmbedder.ResizedImage huge = resizedImage(200);
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cache.put(URL_A, huge);
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assertNull(cache.get(URL_A), "单图超预算拒绝缓存");
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assertEquals(0, cache.sizeBytes(), "被拒绝的图不占用预算");
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assertEquals(1, cache.rejectedCount());
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cache.put(URL_B, resizedImage(60));
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cache.put(URL_C, resizedImage(60));
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assertEquals(1, cache.size(), "第二次放入触发淘汰，仅保留最新");
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assertNull(cache.get(URL_B));
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assertNotNull(cache.get(URL_C));
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assertEquals(60, cache.sizeBytes(), "总字节不超预算");
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assertTrue(cache.evictionCount() >= 1);
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}
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@Test
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void test_task_022_image_cache_excel_invalid_input_rejected() {
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// 非法参数：非正预算/非正条目上限 → 拒绝；null 值拒绝。
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assertThrows(IllegalArgumentException.class, () -> new BoundedImageCache(0, 100));
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assertThrows(IllegalArgumentException.class, () -> new BoundedImageCache(-1, 100));
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assertThrows(IllegalArgumentException.class, () -> new BoundedImageCache(1_000, 0));
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BoundedImageCache cache = new BoundedImageCache(1_000, 100);
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assertThrows(IllegalArgumentException.class, () -> cache.put(null, resizedImage(10)));
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assertThrows(IllegalArgumentException.class, () -> cache.put("", resizedImage(10)));
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assertThrows(IllegalArgumentException.class, () -> cache.put(URL_A, null));
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assertEquals(0, cache.size(), "非法输入不产生缓存条目");
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}
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@Test
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void test_task_022_image_cache_excel_dependency_failure_releases_resources() throws Exception {
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// 依赖失败：图片下载失败不占缓存预算，缓存继续可用；
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// Excel 组装用有界缓存后仍产出完整 workbook，缓存字节有界。
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SimilarAsinImageEmbedder imageEmbedder = mock(SimilarAsinImageEmbedder.class);
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String failUrl = "https://thumb.example/fail.jpg";
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when(imageEmbedder.fetchAndResizeForCache(failUrl)).thenReturn(null);
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String okUrl = "https://thumb.example/ok.jpg";
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when(imageEmbedder.fetchAndResizeForCache(okUrl))
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.thenReturn(new SimilarAsinImageEmbedder.ResizedImage(jpegBytes(), 2, 2));
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long smallBudget = 200;
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ShopDataCrawlExcelAssemblyService service =
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new ShopDataCrawlExcelAssemblyService(imageEmbedder, smallBudget);
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List<ShopDataCrawlResultItemVo> items = new ArrayList<>();
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for (int i = 0; i < 10; i++) {
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ShopDataCrawlRowDto row = new ShopDataCrawlRowDto();
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row.setDate("2026-07-25");
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row.setAsin("B0" + String.format("%08d", i));
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row.setCommodityImage(i % 2 == 0 ? okUrl : failUrl);
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ShopDataCrawlCountryResultDto country = new ShopDataCrawlCountryResultDto();
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country.setCountry("UK");
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country.setItems(List.of(row));
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ShopDataCrawlResultItemVo item = new ShopDataCrawlResultItemVo();
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item.setSuccess(true);
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item.setCountryResults(List.of(country));
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items.add(item);
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}
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File output = tempDir.resolve("bounded.xlsx").toFile();
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service.writeWorkbook(output, items);
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try (XSSFWorkbook workbook = new XSSFWorkbook(new FileInputStream(output))) {
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assertEquals(10, workbook.getSheet("英国").getLastRowNum(), "全部 10 行写入");
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assertEquals(1, workbook.getAllPictures().size(), "失败图片不嵌入，成功图片去重嵌入");
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assertEquals("https://thumb.example/fail.jpg",
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workbook.getSheet("英国").getRow(2).getCell(2).getStringCellValue(),
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"失败图片兜底为 URL 文本");
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}
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}
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private static SimilarAsinImageEmbedder.ResizedImage resizedImage(int bytes) {
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return new SimilarAsinImageEmbedder.ResizedImage(new byte[bytes], 2, 2);
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}
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private static byte[] jpegBytes() throws Exception {
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BufferedImage image = new BufferedImage(2, 2, BufferedImage.TYPE_INT_RGB);
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ByteArrayOutputStream output = new ByteArrayOutputStream();
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ImageIO.write(image, "jpg", output);
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return output.toByteArray();
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}
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}
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