refactor(expo-updates): 优化hash计算和并行处理逻辑，提升性能和调试能力

src/expo-updates/expo-updates.service.ts

@@ -177,11 +177,12 @@ export class ExpoUpdatesService {
         responseType: 'arraybuffer',
         timeout: 30000,
       });
-      const hash = crypto.createHash('sha256').update(response.data).digest('base64url');
+      const hash = crypto.createHash('sha256').update(Buffer.from(response.data)).digest('base64url');
       
       // 缓存 hash
       this.hashCache.set(cacheKey, { hash, timestamp: Date.now() });
       
+      logger.debug(`Calculated hash for ${url}: ${hash}`);
       return hash;
     } catch (error) {
       logger.error(`Failed to calculate hash for ${url}: ${error.message}`);
@@ -202,23 +203,31 @@ export class ExpoUpdatesService {
     }
 
     const assetList = Array.from(uniqueAssets.values());
+    logger.info(`Building ${assetList.length} unique assets`);
     
-    // 并行计算所有 asset 的 hash
+    // 分批并行计算（每批10个，避免并发过多）
-    const results = await Promise.all(
+    const batchSize = 10;
-      assetList.map(async (asset) => {
+    const results: AssetMetadata[] = [];
-        const url = baseUrl + asset.path;
-        const key = asset.path.split('/').pop() || ''; // 使用文件名作为 key
-        const hash = await this.calculateFileHash(url);
     
-        return {
+    for (let i = 0; i < assetList.length; i += batchSize) {
-          hash,
+      const batch = assetList.slice(i, i + batchSize);
-          key,
+      const batchResults = await Promise.all(
-          contentType: this.getContentType(asset.ext),
+        batch.map(async (asset) => {
-          fileExtension: `.${asset.ext}`,
+          const url = baseUrl + asset.path;
-          url,
+          const key = asset.path.split('/').pop() || ''; // 使用文件名作为 key
-        };
+          const hash = await this.calculateFileHash(url);
-      })
+          
-    );
+          return {
+            hash,
+            key,
+            contentType: this.getContentType(asset.ext),
+            fileExtension: `.${asset.ext}`,
+            url,
+          };
+        })
+      );
+      results.push(...batchResults);
+    }
 
     return results;
   }