feature：加入功能，小朋友人脸识别与分类。

plugins/kid_photo_extractor/main.py

@@ -74,18 +74,19 @@ class FaceAnalyzer:
 
     def analyze_face(self, image_path, face_area=None):
         """分析人脸，获取特征向量"""
+        temp_path = None
         try:
             # 检查文件是否存在
             if not os.path.exists(image_path):
                 self.logger.error(f"图片文件不存在: {image_path}")
-                return None
+                return None, None
                 
             # 检查文件是否可读
             try:
                 img = cv2.imread(image_path)
                 if img is None:
                     self.logger.error(f"无法读取图片: {image_path}")
-                    return None
+                    return None, None
                     
                 # 如果指定了人脸区域，裁剪图片
                 if face_area:
@@ -98,7 +99,7 @@ class FaceAnalyzer:
                     
             except Exception as e:
                 self.logger.error(f"读取图片失败: {image_path}, 错误: {e}")
-                return None
+                return None, None
     
             # 提取人脸特征向量用于后续比对
             embedding_result = DeepFace.represent(
@@ -127,26 +128,20 @@ class FaceAnalyzer:
                     embedding = [float(x) for x in embedding]
                 except (TypeError, ValueError):
                     self.logger.error(f"无法将嵌入向量转换为浮点数列表: {image_path}")
-                    return None
+                    return None, temp_path
             
             self.logger.info(f"成功提取人脸特征向量: {image_path}")
     
-            # 如果使用了临时文件，删除它
+            # 不再进行年龄判断，直接返回特征向量和临时文件路径
-            if face_area and os.path.exists(f"{image_path}.temp.jpg"):
-                try:
-                    os.remove(f"{image_path}.temp.jpg")
-                except Exception as e:
-                    self.logger.warning(f"删除临时文件失败: {e}")
-    
-            # 不再进行年龄判断，直接返回特征向量
             return {
                 'embedding': embedding,
                 'is_kid': True  # 默认所有人脸都处理
-            }
+            }, temp_path
+            
         except Exception as e:
             self.logger.error(f"人脸分析失败: {image_path}, 错误: {e}")
             self.logger.error(traceback.format_exc())  # 打印完整的错误堆栈
-            return None
+            return None, temp_path
 
     def is_kid(self, face_info):
         """判断是否为小朋友 - 现在总是返回True"""
@@ -529,6 +524,8 @@ class KidPhotoExtractorPlugin(MessagePluginInterface):
     def _run_analysis_task(self, group_key, source_dir, output_dir, wcf, target, sender):
         """在后台运行分析任务"""
         start_time = time.time()
+        temp_files = []  # 用于跟踪所有创建的临时文件
+        
         try:
             is_full = self.analysis_tasks[group_key].get("is_full", False)
             self.LOG.info(f"开始{'全量' if is_full else '增量'}分析任务: {source_dir}")
@@ -623,9 +620,13 @@ class KidPhotoExtractorPlugin(MessagePluginInterface):
                         for face in faces:
                             # 分析人脸
                             face_region = face.get('facial_area', None)
-                            face_info = self.face_analyzer.analyze_face(image_path, face_region)
+                            face_info, temp_file = self.face_analyzer.analyze_face(image_path, face_region)
                             
-                            if face_info:  # 不再判断是否为小朋友
+                            # 如果创建了临时文件，添加到跟踪列表
+                            if temp_file:
+                                temp_files.append(temp_file)
+    
+                            if face_info:
                                 # 保存人脸特征
                                 all_faces.append(face_info['embedding'])
                                 face_images.append(image_path)
@@ -752,6 +753,16 @@ class KidPhotoExtractorPlugin(MessagePluginInterface):
             import gc
             gc.collect()
     
+    def _cleanup_temp_files(self, temp_files):
+        """清理所有临时文件"""
+        for temp_file in temp_files:
+            try:
+                if os.path.exists(temp_file):
+                    os.remove(temp_file)
+                    self.LOG.info(f"已删除临时文件: {temp_file}")
+            except Exception as e:
+                self.LOG.error(f"删除临时文件失败: {temp_file}, 错误: {e}")
+
     def _save_analysis_result(self, group_key, result):
         """保存分析结果到Redis"""
         try: