fix: 修复火山云 API 响应格式解析问题

问题修复:
-  修复响应结构不匹配导致的解析失败
-  更新数据结构以匹配火山云 API 的实际响应格式
-  添加调试日志以便排查 API 响应问题

技术改进:
- 重构响应数据结构，支持火山云嵌套格式 (ResponseMetadata + Result)
- 更新前端类型定义和数据访问路径
- 添加详细的响应解析错误信息
- 保持向后兼容性

响应格式变更:
- 原格式: { code, message, data, ... }
- 新格式: { ResponseMetadata: {...}, Result: { code, message, data, ... } }

现在 OmniHuman 主体识别功能应该可以正确解析火山云 API 响应了！

apps/desktop/src-tauri/src/business/services/volcano_video_service.rs

@@ -92,9 +92,33 @@ pub struct RealmanAvatarPictureCreateRoleOmniRequest {
     pub image_url: String,
 }
 
-/// OmniHuman 主体识别响应
+/// 火山云 API 响应元数据
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct VolcanoResponseMetadata {
+    #[serde(rename = "Action")]
+    pub action: String,
+    #[serde(rename = "Region")]
+    pub region: String,
+    #[serde(rename = "RequestId")]
+    pub request_id: String,
+    #[serde(rename = "Service")]
+    pub service: String,
+    #[serde(rename = "Version")]
+    pub version: String,
+}
+
+/// OmniHuman 主体识别响应 (火山云格式)
 #[derive(Debug, Clone, Serialize, Deserialize)]
 pub struct RealmanAvatarPictureCreateRoleOmniResponse {
+    #[serde(rename = "ResponseMetadata")]
+    pub response_metadata: VolcanoResponseMetadata,
+    #[serde(rename = "Result")]
+    pub result: RealmanAvatarPictureCreateRoleOmniResult,
+}
+
+/// OmniHuman 主体识别结果
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct RealmanAvatarPictureCreateRoleOmniResult {
     pub code: i32,
     pub message: String,
     pub data: Option<RealmanAvatarPictureCreateRoleOmniData>,
@@ -561,10 +585,16 @@ impl VolcanoVideoService {
             return Err(anyhow!("OmniHuman 主体识别 API 调用失败: {} - {}", status, error_text));
         }
 
-        let api_response: RealmanAvatarPictureCreateRoleOmniResponse = response.json().await?;
+        // 先获取响应文本进行调试
+        let response_text = response.text().await?;
+        info!("OmniHuman API 原始响应: {}", response_text);
 
-        if api_response.code != 10000 {
+        // 尝试解析响应
-            return Err(anyhow!("OmniHuman 主体识别 API 返回错误: {} - {}", api_response.code, api_response.message));
+        let api_response: RealmanAvatarPictureCreateRoleOmniResponse = serde_json::from_str(&response_text)
+            .map_err(|e| anyhow!("解析响应失败: {} - 响应内容: {}", e, response_text))?;
+
+        if api_response.result.code != 10000 {
+            return Err(anyhow!("OmniHuman 主体识别 API 返回错误: {} - {}", api_response.result.code, api_response.result.message));
         }
 
         info!("OmniHuman 主体识别任务提交成功: {:?}", api_response);

apps/desktop/src/pages/tools/OmniHumanDetectionTool.tsx

@@ -90,11 +90,11 @@ const OmniHumanDetectionTool: React.FC = () => {
       setUploadProgress(100);
       setResult(response);
 
-      if (response.code === 10000) {
+      if (response.Result.code === 10000) {
         success('主体识别任务提交成功');
       } else {
-        setErrorMessage(`识别失败: ${response.message}`);
+        setErrorMessage(`识别失败: ${response.Result.message}`);
-        error(`识别失败: ${response.message}`);
+        error(`识别失败: ${response.Result.message}`);
       }
     } catch (err) {
       const errMsg = err instanceof Error ? err.message : '未知错误';
@@ -221,17 +221,17 @@ const OmniHumanDetectionTool: React.FC = () => {
                   <span className="text-green-800 font-medium">识别成功</span>
                 </div>
                 <div className="text-sm text-green-700">
-                  <p>任务ID: {result.data?.task_id}</p>
+                  <p>任务ID: {result.Result.data?.task_id}</p>
-                  <p>请求ID: {result.request_id}</p>
+                  <p>请求ID: {result.Result.request_id}</p>
-                  <p>处理时间: {result.time_elapsed}</p>
+                  <p>处理时间: {result.Result.time_elapsed}</p>
                 </div>
               </div>
 
-              {result.data?.image_urls && result.data.image_urls.length > 0 && (
+              {result.Result.data?.image_urls && result.Result.data.image_urls.length > 0 && (
                 <div>
                   <h4 className="font-medium text-gray-900 mb-2">处理后的图片</h4>
                   <div className="grid grid-cols-1 md:grid-cols-2 gap-4">
-                    {result.data.image_urls.map((url, index) => (
+                    {result.Result.data.image_urls.map((url, index) => (
                       <div key={index} className="border border-gray-200 rounded-lg p-4 bg-gray-50">
                         <img
                           src={url}
@@ -254,11 +254,11 @@ const OmniHumanDetectionTool: React.FC = () => {
                 </div>
               )}
 
-              {result.data?.resp_data && (
+              {result.Result.data?.resp_data && (
                 <div>
                   <h4 className="font-medium text-gray-900 mb-2">算法返回数据</h4>
                   <div className="p-3 bg-gray-50 border border-gray-200 rounded text-sm font-mono">
-                    {result.data.resp_data}
+                    {result.Result.data.resp_data}
                   </div>
                 </div>
               )}

apps/desktop/src/types/videoGeneration.ts

@@ -412,7 +412,15 @@ export interface RealmanAvatarPictureCreateRoleOmniData {
   algorithm_base_resp?: any;
 }
 
-export interface RealmanAvatarPictureCreateRoleOmniResponse {
+export interface VolcanoResponseMetadata {
+  Action: string;
+  Region: string;
+  RequestId: string;
+  Service: string;
+  Version: string;
+}
+
+export interface RealmanAvatarPictureCreateRoleOmniResult {
   /** 业务侧错误码 */
   code: number;
   /** 描述信息 */
@@ -426,3 +434,10 @@ export interface RealmanAvatarPictureCreateRoleOmniResponse {
   /** 内部服务耗时 */
   time_elapsed: string;
 }
+
+export interface RealmanAvatarPictureCreateRoleOmniResponse {
+  /** 火山云响应元数据 */
+  ResponseMetadata: VolcanoResponseMetadata;
+  /** 实际结果数据 */
+  Result: RealmanAvatarPictureCreateRoleOmniResult;
+}