feat(image): 实现源图片超分辨率增强流水线

- 引入Pipeline模式重构图片处理流程
- 新增SourcePhotoUpdateStage用于上传并更新源图片URL
- 扩展PhotoProcessContext支持超分场景配置
- 增加SOURCE_PHOTO_SUPER_RESOLUTION枚举值
- 修改各Stage判断逻辑适配新的图片类型系统
- 调整SourceService接口支持File类型参数
- 优化超分处理日志记录和异常处理机制

src/main/java/com/ycwl/basic/controller/extern/AioDeviceController.java

@@ -4,6 +4,13 @@ import cn.hutool.http.HttpUtil;
 import com.ycwl.basic.annotation.IgnoreToken;
 import com.ycwl.basic.image.enhancer.adapter.BceImageEnhancer;
 import com.ycwl.basic.image.enhancer.entity.BceEnhancerConfig;
+import com.ycwl.basic.image.pipeline.core.Pipeline;
+import com.ycwl.basic.image.pipeline.core.PipelineBuilder;
+import com.ycwl.basic.image.pipeline.core.PhotoProcessContext;
+import com.ycwl.basic.image.pipeline.stages.DownloadStage;
+import com.ycwl.basic.image.pipeline.stages.ImageEnhanceStage;
+import com.ycwl.basic.image.pipeline.stages.SourcePhotoUpdateStage;
+import com.ycwl.basic.image.pipeline.stages.CleanupStage;
 import com.ycwl.basic.mapper.AioDeviceMapper;
 import com.ycwl.basic.mapper.MemberMapper;
 import com.ycwl.basic.model.aio.entity.AioDeviceBannerEntity;
@@ -41,7 +48,9 @@ import org.springframework.web.multipart.MultipartFile;
 
 import java.io.File;
 import java.util.Date;
+import java.util.HashMap;
 import java.util.List;
+import java.util.Map;
 import java.util.concurrent.TimeUnit;
 
 @Slf4j
@@ -129,27 +138,39 @@ public class AioDeviceController {
                 redisTemplate.opsForValue().set("aio:faceId:"+resp.getFaceId().toString()+":pass", "1", 1, TimeUnit.DAYS);
                 return;
             }
-            log.info("超分开始！");
+            log.info("超分开始！共{}张图片待处理", sourcePhotoList.size());
+
             sourcePhotoList.forEach(photo -> {
                 if (StringUtils.contains(photo.getUrl(), "_q_")) {
+                    log.debug("跳过已增强的图片: {}", photo.getUrl());
                     return;
                 }
+
                 try {
-                    File dstFile = new File(photo.getGoodsId()+".jpg");
-                    long fileSize = HttpUtil.downloadFile(photo.getUrl(), dstFile);
-                    log.info("超分开始：{}", fileSize);
-                    BceImageEnhancer enhancer = getEnhancer();
-                    MultipartFile enhancedFile = enhancer.enhance(dstFile.getName());
-                    log.info("超分结束：{}", photo.getUrl());
-                    String url = sourceService.uploadAndUpdateUrl(photo.getGoodsId(), enhancedFile);
-                    log.info("上传结束：->{}", url);
+                    // 创建超分Pipeline
+                    Pipeline<PhotoProcessContext> superResolutionPipeline = createSuperResolutionPipeline(photo.getGoodsId());
+
+                    // 使用静态工厂方法创建Context
+                    PhotoProcessContext context = PhotoProcessContext.forSuperResolution(
+                            photo.getGoodsId(), photo.getUrl(), photo.getScenicId()
+                    );
+
+                    // 启用图像增强Stage
+                    Map<String, Boolean> stageConfig = new HashMap<>();
+                    stageConfig.put("image_enhance", true);
+                    context.loadStageConfig(null, stageConfig);
+
+                    // 执行Pipeline
+                    boolean success = superResolutionPipeline.execute(context);
+
+                    if (success) {
+                        log.info("超分成功: {} -> {}", photo.getUrl(), context.getResultUrl());
+                    } else {
+                        log.error("超分失败: {}", photo.getGoodsId());
+                    }
+
                 } catch (Exception e) {
                     log.error("超分失败：{}", photo.getGoodsId(), e);
-                } finally {
-                    File _file = new File(photo.getGoodsId()+".jpg");
-                    if (_file.exists()) {
-                        _file.delete();
-                    }
                 }
             });
             redisTemplate.opsForValue().set("aio:faceId:"+sourcePhotoList.getFirst().getFaceId().toString()+":pass", "1", 1, TimeUnit.DAYS);
@@ -206,6 +227,28 @@ public class AioDeviceController {
         return ApiResponse.success(orderService.queryOrder(orderId));
     }
 
+    /**
+     * 创建源图片超分辨率增强Pipeline
+     *
+     * @param sourceId 源图片ID
+     * @return 超分Pipeline
+     */
+    private Pipeline<PhotoProcessContext> createSuperResolutionPipeline(Long sourceId) {
+        // 创建带有百度云配置的ImageEnhanceStage
+        BceEnhancerConfig config = new BceEnhancerConfig();
+        config.setQps(1);
+        config.setAppId("119554288");
+        config.setApiKey("OX6QoijgKio3eVtA0PiUVf7f");
+        config.setSecretKey("dYatXReVriPeiktTjUblhfubpcmYfuMk");
+
+        return new PipelineBuilder<PhotoProcessContext>("SourcePhotoSuperResolutionPipeline")
+                .addStage(new DownloadStage())                                    // 1. 下载图片
+                .addStage(new ImageEnhanceStage(config))                         // 2. 图像增强(超分)
+                .addStage(new SourcePhotoUpdateStage(sourceService, sourceId))   // 3. 上传并更新数据库
+                .addStage(new CleanupStage())                                    // 4. 清理临时文件
+                .build();
+    }
+
     private BceImageEnhancer getEnhancer() {
         BceImageEnhancer enhancer = new BceImageEnhancer();
         BceEnhancerConfig config = new BceEnhancerConfig();