feat: update algorithm integrations and point cloud overlays

alg/train_measurement_system_v3.2_0629/src/measurements/base.py

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+"""测量任务基类"""
+from abc import ABC, abstractmethod
+from typing import Dict, Any, Optional
+from dataclasses import dataclass
+import numpy as np
+
+
+@dataclass
+class MeasurementResult:
+    """测量结果数据类"""
+    task_name: str
+    task_type: str
+    success: bool
+    data: Optional[Dict[str, Any]] = None
+    error_message: Optional[str] = None
+
+
+class BaseMeasurement(ABC):
+    """测量任务基类"""
+
+    def __init__(self, name: str, point_cloud: np.ndarray, config: Dict[str, Any], spatial_index=None):
+        """
+        初始化测量任务
+
+        Args:
+            name: 任务名称
+            point_cloud: 完整点云数组 (N, 3)
+            config: 任务配置字典
+            spatial_index: 空间索引对象（可选）
+        """
+        self.name = name
+        self.point_cloud = point_cloud
+        self.config = config
+        self.task_type = config.get('type', 'unknown')
+        self.spatial_index = spatial_index  # 保存空间索引
+
+    @abstractmethod
+    def execute(self) -> MeasurementResult:
+        """
+        执行测量任务
+
+        Returns:
+            MeasurementResult: 测量结果
+        """
+        pass
+
+    def is_enabled(self) -> bool:
+        """检查任务是否启用"""
+        return self.config.get('enabled', True)