import os import logging import subprocess import time from typing import Dict import pandas as pd from preprocess.odm_monitor import ODMProcessMonitor class CommandRunner: """执行网格处理命令的类""" def __init__(self, output_dir: str, max_retries: int = 3): """ 初始化命令执行器 i Args: output_dir: 输出目录路径 max_retries: 最大重试次数 """ self.output_dir = output_dir self.max_retries = max_retries self.logger = logging.getLogger('UAV_Preprocess.CommandRunner') self.monitor = ODMProcessMonitor(max_retries=max_retries) def _run_command(self, grid_idx: int): """ 执行单个网格的命令 Args: grid_idx: 网格索引 Raises: Exception: 当命令执行失败时抛出异常 """ try: grid_dir = os.path.join(self.output_dir, f'grid_{grid_idx + 1}') if self.mode == "快拼模式": command = f"docker run -ti --rm -v {grid_dir}:/datasets opendronemap/odm --project-path /datasets project --feature-quality lowest --force-gps --use-3dmesh --fast-orthophoto --skip-3dmodel" else: command = f"docker run -ti --rm -v {grid_dir}:/datasets opendronemap/odm --project-path /datasets project --feature-quality lowest --force-gps --use-3dmesh" self.logger.info(f"开始执行命令: {command}") success, error_msg = self.monitor.run_odm_with_monitor( command, grid_dir, grid_idx) if not success: raise Exception(error_msg) except Exception as e: self.logger.error(f"网格 {grid_idx + 1} 处理失败: {str(e)}") raise def run_grid_commands(self, grid_points: Dict[int, pd.DataFrame], enable_grid_division: bool = True): """ 为每个网格顺序运行指定命令 Args: grid_points: 网格点数据字典,键为网格索引,值为该网格的点数据 enable_grid_division: 是否启用网格划分 """ if not enable_grid_division: self._run_command(0) return self.logger.info("开始执行网格处理命令") for grid_idx in grid_points.keys(): try: self._run_command(grid_idx) except Exception as e: self.logger.error(f"网格 {grid_idx + 1} 处理失败,停止后续执行: {str(e)}") raise