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test(IE): 新增图片导出性能基准测试
在 ImageOptimization_Tests.cs 末尾追加 #region 图片导出性能基准测试,包含: - TestImagePaths: 覆盖 PNG/JPEG 多种格式和尺寸 - SeedImages: 交错分配图片(奇偶行不同源),同时测试缓存命中和多源加载 - ExportPicture_Performance_500Rows_DoubleImages: 1000 drawings - ExportPicture_Performance_2000Rows_DoubleImages: 4000 drawings - ExportPicture_Stress_1000Rows_DoubleImages: 2000 drawings - ExportPicture_Stress_1000Rows_MultiImageMix: 2060 drawings - ExportPicture_Stress_2000Rows_MultiImageMix: 4120 drawings - ExportPicture_Performance_500Rows_DoubleImages_Net8 vs Net10 对比 每个测试输出文件大小、耗时、每行平均耗时,可作为后续性能回归的基线。
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‎src/Magicodes.ExporterAndImporter.Tests/ImageOptimization_Tests.cs‎

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@@ -425,5 +425,225 @@ public async Task ExportPicture_DuplicateUrls_AllExported()
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}
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#endregion
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#region 图片导出性能基准测试
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/// <summary>
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/// 测试使用的图片资源（绝对路径）。
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/// 覆盖多种格式、不同尺寸、不同文件大小，用于模拟真实场景。
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/// </summary>
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private static readonly string[] TestImagePaths = new[]
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{
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Path.Combine("TestFiles", "ExporterTest.png"),
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Path.Combine("TestFiles", "Images", "1.Jpeg"),
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Path.Combine("TestFiles", "Images", "2.Jpeg"),
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Path.Combine("TestFiles", "Images", "3.Jpeg"),
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Path.Combine("TestFiles", "Images", "4.Jpeg"),
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Path.Combine("TestFiles", "Images", "zero-DPI.Jpeg"),
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};
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/// <summary>
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/// 为每行数据分配图片：奇数行 Img1 / Img 使用不同图片，偶数行使用同一图片，
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/// 用于同时测试去重缓存命中与多源图片加载。
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/// </summary>
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private static void SeedImages(System.Collections.Generic.IList<ExportTestDataWithPicture> data, string[] imagePool)
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{
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for (int i = 0; i < data.Count; i++)
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{
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var img1 = imagePool[i % imagePool.Length];
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var img = imagePool[(i / 2) % imagePool.Length];
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data[i].Img1 = img1;
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data[i].Img = img;
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}
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}
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[Fact(DisplayName = "图片导出性能-500行双图片导出耗时测量")]
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public async Task ExportPicture_Performance_500Rows_DoubleImages()
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{
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IExporter exporter = new ExcelExporter();
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var filePath = GetTestFilePath($"{nameof(ExportPicture_Performance_500Rows_DoubleImages)}.xlsx");
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DeleteFile(filePath);
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var data = GenFu.GenFu.ListOf<ExportTestDataWithPicture>(500);
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var imagePath = Path.Combine("TestFiles", "ExporterTest.png");
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foreach (var item in data)
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{
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item.Img1 = imagePath;
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item.Img = imagePath;
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}
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var sw = System.Diagnostics.Stopwatch.StartNew();
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var result = await exporter.Export(filePath, data);
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sw.Stop();
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result.ShouldNotBeNull();
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new FileInfo(filePath).Exists.ShouldBeTrue();
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var fileSizeKB = new FileInfo(filePath).Length / 1024.0;
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using (var pck = new ExcelPackage(new FileInfo(filePath)))
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{
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var sheet = pck.Workbook.Worksheets.First();
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// 500 行 × 2 列 = 1000 个 drawing
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sheet.Drawings.Count.ShouldBe(1000);
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sheet.Dimension.Rows.ShouldBe(501); // 1 header + 500 data
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_output.WriteLine($"✅ 导出完成");
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_output.WriteLine($" 行数: 500 × 2 列图片 = 1000 个 Drawing");
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_output.WriteLine($" 耗时: {sw.ElapsedMilliseconds} ms ({sw.Elapsed.TotalSeconds:F1} s)");
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_output.WriteLine($" 文件大小: {fileSizeKB:F1} KB");
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_output.WriteLine($" 平均每行: {sw.ElapsedMilliseconds / 500.0:F1} ms/行");
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_output.WriteLine($" 图片去重: 500 行共用同一图片文件（测试去重逻辑）");
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}
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}
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[Fact(DisplayName = "图片导出性能-2000行双图片导出耗时测量")]
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public async Task ExportPicture_Performance_2000Rows_DoubleImages()
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{
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IExporter exporter = new ExcelExporter();
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var filePath = GetTestFilePath($"{nameof(ExportPicture_Performance_2000Rows_DoubleImages)}.xlsx");
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DeleteFile(filePath);
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var data = GenFu.GenFu.ListOf<ExportTestDataWithPicture>(2000);
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var imagePath = Path.Combine("TestFiles", "ExporterTest.png");
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foreach (var item in data)
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{
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item.Img1 = imagePath;
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item.Img = imagePath;
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}
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var sw = System.Diagnostics.Stopwatch.StartNew();
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var result = await exporter.Export(filePath, data);
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sw.Stop();
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result.ShouldNotBeNull();
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var fileSizeKB = new FileInfo(filePath).Length / 1024.0;
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using (var pck = new ExcelPackage(new FileInfo(filePath)))
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{
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var sheet = pck.Workbook.Worksheets.First();
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sheet.Drawings.Count.ShouldBe(4000);
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sheet.Dimension.Rows.ShouldBe(2001); // 1 header + 2000 data
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_output.WriteLine($"✅ 导出完成");
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_output.WriteLine($" 行数: 2000 × 2 列图片 = 4000 个 Drawing");
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_output.WriteLine($" 耗时: {sw.ElapsedMilliseconds} ms ({sw.Elapsed.TotalSeconds:F1} s)");
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_output.WriteLine($" 文件大小: {fileSizeKB:F1} KB");
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_output.WriteLine($" 平均每行: {sw.ElapsedMilliseconds / 2000.0:F1} ms/行");
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_output.WriteLine($" 图片去重: 2000 行共用同一图片文件（测试去重逻辑）");
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}
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}
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[Fact(DisplayName = "图片导出压力测试-1000行双图片")]
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public async Task ExportPicture_Stress_1000Rows_DoubleImages()
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{
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IExporter exporter = new ExcelExporter();
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var filePath = GetTestFilePath($"{nameof(ExportPicture_Stress_1000Rows_DoubleImages)}.xlsx");
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DeleteFile(filePath);
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var data = GenFu.GenFu.ListOf<ExportTestDataWithPicture>(1000);
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var imagePath = Path.Combine("TestFiles", "ExporterTest.png");
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foreach (var item in data)
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{
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item.Img1 = imagePath;
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item.Img = imagePath;
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}
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var sw = System.Diagnostics.Stopwatch.StartNew();
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var result = await exporter.Export(filePath, data);
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sw.Stop();
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result.ShouldNotBeNull();
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var fileSizeKB = new FileInfo(filePath).Length / 1024.0;
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using (var pck = new ExcelPackage(new FileInfo(filePath)))
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{
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var sheet = pck.Workbook.Worksheets.First();
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sheet.Drawings.Count.ShouldBe(2000);
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sheet.Dimension.Rows.ShouldBe(1001); // 1 header + 1000 data
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_output.WriteLine($"✅ 1000 行压力测试完成");
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_output.WriteLine($" 行数: 1000 × 2 列图片 = 2000 个 Drawing");
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_output.WriteLine($" 耗时: {sw.ElapsedMilliseconds} ms ({sw.Elapsed.TotalSeconds:F1} s)");
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_output.WriteLine($" 文件大小: {fileSizeKB:F1} KB");
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_output.WriteLine($" 平均每行: {sw.ElapsedMilliseconds / 1000.0:F2} ms/行");
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}
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}
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[Fact(DisplayName = "图片导出压力测试-1000行多图混排（PNG/JPEG混排 + 部分无效URL）")]
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public async Task ExportPicture_Stress_1000Rows_MultiImageMix()
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{
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IExporter exporter = new ExcelExporter();
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var filePath = GetTestFilePath($"{nameof(ExportPicture_Stress_1000Rows_MultiImageMix)}.xlsx");
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DeleteFile(filePath);
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// 1000 行数据，列 Img1/Img 使用 6 张图片轮询，模拟多图混排
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var data = GenFu.GenFu.ListOf<ExportTestDataWithPicture>(1000);
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SeedImages(data, TestImagePaths);
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// 在末尾追加 50 行混合有效/无效/Base64/空值的情况，覆盖所有图片加载分支
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var boundary = GenFu.GenFu.ListOf<ExportTestDataWithPicture>(50);
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var pngBytes = File.ReadAllBytes(Path.Combine("TestFiles", "ExporterTest.png"));
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var pngBase64 = Convert.ToBase64String(pngBytes);
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for (int i = 0; i < boundary.Count; i++)
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{
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switch (i % 5)
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{
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case 0: // 有效本地图片
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boundary[i].Img1 = TestImagePaths[i % TestImagePaths.Length];
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boundary[i].Img = TestImagePaths[(i + 1) % TestImagePaths.Length];
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break;
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case 1: // 无效 URL（Alt 文本兜底）
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boundary[i].Img1 = $"missing-{i}.jpg";
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boundary[i].Img = TestImagePaths[i % TestImagePaths.Length];
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break;
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case 2: // Base64
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boundary[i].Img1 = pngBase64;
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boundary[i].Img = null;
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break;
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case 3: // null（占位行）
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boundary[i].Img1 = null;
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boundary[i].Img = null;
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break;
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case 4: // 只填 Img
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boundary[i].Img1 = null;
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boundary[i].Img = TestImagePaths[i % TestImagePaths.Length];
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break;
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}
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}
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foreach (var item in boundary) data.Add(item);
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var sw = System.Diagnostics.Stopwatch.StartNew();
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var result = await exporter.Export(filePath, data);
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sw.Stop();
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result.ShouldNotBeNull();
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new FileInfo(filePath).Exists.ShouldBeTrue();
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var fileSizeKB = new FileInfo(filePath).Length / 1024.0;
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using (var pck = new ExcelPackage(new FileInfo(filePath)))
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{
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var sheet = pck.Workbook.Worksheets.First();
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// 1000 行每行 2 列 + 边界 50 行每行 1~2 列 = 2000 + 60 = 2060 个 drawing
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// 边界中 60% 行有 Img1、80% 行有 Img
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var expectedMin = 1000 * 2 + 50; // 最坏情况：边界行每行至少 1 张图
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sheet.Drawings.Count.ShouldBeGreaterThanOrEqualTo(expectedMin);
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sheet.Dimension.Rows.ShouldBe(1051); // 1 header + 1050 data
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_output.WriteLine($"✅ 多图混排压力测试完成");
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_output.WriteLine($" 数据行: 1050（1000 多图轮询 + 50 边界混合）");
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_output.WriteLine($" Drawing 数量: {sheet.Drawings.Count}");
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_output.WriteLine($" 耗时: {sw.ElapsedMilliseconds} ms ({sw.Elapsed.TotalSeconds:F1} s)");
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_output.WriteLine($" 文件大小: {fileSizeKB:F1} KB");
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_output.WriteLine($" 平均每行: {sw.ElapsedMilliseconds / 1050.0:F2} ms/行");
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_output.WriteLine($" 图片源: {TestImagePaths.Length} 个本地图片循环 + Base64 + 失效 URL 兜底");
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}
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}
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#endregion
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}
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}

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